Received: from co300216-co-outbound.avaya.com (co300216-co-outbound.net.avaya.com [198.152.13.100]) by bierator.ibr.cs.tu-bs.de (8.13.4/8.13.4/Debian-3sarge3) with ESMTP id l2TCKhZC024911 for ; Thu, 29 Mar 2007 14:20:49 +0200 Received: from unknown (HELO IS0004AVEXU1.global.avaya.com) ([135.64.105.51]) by co300216-co-outbound.avaya.com with ESMTP; 29 Mar 2007 08:23:42 -0400 X-IronPort-AV: i="4.14,346,1170651600"; d="scan'208"; a="70312285:sNHT25357668" Received: from 300216erh2.post.avaya.com ([198.152.7.49]) by IS0004AVEXU1.global.avaya.com with Microsoft SMTPSVC(5.0.2195.6713); Tue, 27 Mar 2007 15:03:25 +0200 Received: from de307622-de-outbound.net.avaya.com (de307622-de-outbound.net.avaya.com [198.152.71.100]) by 300216erh2.post.avaya.com (Switch-3.1.8/Switch-3.1.7) with ESMTP id l2RD2hjf000420 for ; Tue, 27 Mar 2007 07:03:23 -0600 MIME-Version: 1.0 Content-Type: text/plain; charset="windows-1256" Received: from megatron.ietf.org ([156.154.16.145]) by de307622-de-ieremea.avaya.com with ESMTP; 27 Mar 2007 09:03:22 -0400 X-MimeOLE: Produced By Microsoft Exchange V6.0.6603.0 Received: from [127.0.0.1] (helo=stiedprmman1.va.neustar.com) by megatron.ietf.org with esmtp (Exim 4.43) id 1HWBKP-0002cd-5Q; Tue, 27 Mar 2007 09:03:09 -0400 Received: from [10.91.34.44] (helo=ietf-mx.ietf.org) by megatron.ietf.org with esmtp (Exim 4.43) id 1HWBKN-0002bm-7r; Tue, 27 Mar 2007 09:03:07 -0400 Received: from co300216-co-outbound.net.avaya.com ([198.152.13.100] helo=co300216-co-outbound.avaya.com) by ietf-mx.ietf.org with esmtp (Exim 4.43) id 1HWBKK-0000I7-Jc; Tue, 27 Mar 2007 09:03:07 -0400 Received: from unknown (HELO IS0004AVEXU1.global.avaya.com) ([135.64.105.51]) by co300216-co-outbound.avaya.com with ESMTP; 27 Mar 2007 09:05:31 -0400 content-class: urn:content-classes:message Date: Thu, 29 Mar 2007 14:19:54 +0200 Message-ID: X-MS-Has-Attach: X-MS-TNEF-Correlator: Thread-Topic: Minutes of the OPS Area open meetings in Prague - draft 2 Thread-Index: AcdwcCfEZyJt5bMOTaeTKpD3N4xYIQ== From: "Romascanu, Dan \(Dan\)" To: , , , "IETF MIBs" , , X-IBRFilter-SpamReport: 2 (**) BAYES_80 X-Scanned-By: MIMEDefang 2.51 on 134.169.34.9 Content-Transfer-Encoding: 8bit X-MIME-Autoconverted: from quoted-printable to 8bit by bierator.ibr.cs.tu-bs.de id l2TCKhZC024911 Subject: [nmrg] Minutes of the OPS Area open meetings in Prague - draft 2 X-BeenThere: nmrg@ibr.cs.tu-bs.de X-Mailman-Version: 2.1.5 Precedence: list List-Id: Network Management Research Group List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Thu, 29 Mar 2007 12:20:53 -0000 I have included notes taken by Dave Harrington at the first meeting. I would welcome more comments and corrections before we turn these into the official version. Dan ------------------------------------------------------------------------------- Meeting 1 - Monday March 19, 2007 15:20 to 17:20 1. Meeting Administrivia 2. Introduction of new Area Director - Ron Bonica Dan - thanking David Kessens for his years of service as Area Director 3. Mini-BOF A: - Manageability and Operational Guidelines - David Harrington http://www3.ietf.org/proceedings/07mar/slides/opsarea-1.ppt Discussions about the structure of the document - should the protocol evaluation be part of the document? 4. Mini-BOF B: COPS push mode policy configuration - Tom Taylor and Tina Tsou http://www3.ietf.org/proceedings/07mar/slides/opsarea-3.ppt Sharon Chisholm: why COPS? because COPS is (apparently) going away Unidentified : working at the ITU-T, still some interest Kevin Johnson: in the draft, not quite clear if a new message was used. Tom: draft proposes a new message but could also use a flag, which is the less violent solution. Discussion of the collision of handles Dbh: there are two questions to answer. question 1: is COPS going away? Worth it? Little update in the industry. Should this be part of the manageability work (his mini-BOF)? Should we move COPS to experimental or not recommended? question 2: technical decision whether change is the right one? Scott Bradner: Answer Dave's first question. some enthusiasm for COPS at the beginning, then faded away. Interest in ITU. The ITU-T is using a few protocols including DIAMETER and COPS from the IETF that require some extensions. If another non-IETF group wants to use COPS, why stand in their way? Dave: "I can agree with that; somebody once said that the IETF doesn't produce standards, but technologies; other organizations produce standards" Dan (to Tom): what is your preferred solution? Tom: A standard document with the COPS update . ITU and IETF would progress this in parallel (approve in ITU-T as an annex), and then have IETF (tweak and) approve it, and then update ITU-T to reference the RFC. Scott: This parallel approach has been problematic in the past. It should either be done in ITU or in IETF, but not both. Tina: I think this can be done Dan: another approach is that the ITU-T can publish an Informational document. I do not want to take a position at this point. ITU should also consider what happens Dave Partain: I think there will be little energy to do this in the IETF, so it should be done in ITU. Bert: I do not know if COPS-PR is being used or not; I know I do not want to spend time working on COPS-PR. Is anybody interested in working on it (including review any work done by ITU?) Tom: Does anybody work for an organization that uses COPS-PR? One person raised their hands (Tina Tsou from Huawei) Tom: Is there any interest in working on COPS-PR extensions? Dan: these questions should be asked on the OPS lists and ITU lists. Should it be standards track? - the authors would like it so. Action item - Tom to address the ops-area list with query to determine status of implementation and deployment of COPS and COPS-PR and level of interest in participating in such a work 5. Mini-BOF C: Best Current Practices in Operations and Management - David Harrington http://www3.ietf.org/proceedings/07mar/slides/opsarea-2.ppt Proposal to create operation capabilities working group, modeled on the experience of opsec WG Would bring in operators experience Framework document and operational guidelines as principal output Is opsec a success story? Straw poll indicates interest - continue discussion after the next item 6. Improved Efficiency of the OPS Area - proposal for the formation of a OPS Area WG - ADs David and Dan - create structure for OPS area, similar to the one existing in TSV and Routing Should it be merged with OPS and management capabilities WG as suggested by David H.? TSV chair - success in Transport due to multiple small items, no dominant item Straw poll indicates interest - nobody believes it's a bad idea, continue discussions in net meeting 7. Open Microphone Meeting 2 - Wednesday March 21, 2007 - 13:00 to 16:10 1. Meeting Administrivia ADs (total: 5 min) 2. Mini-BOF D: NE/facilities/lines/protocols/services data modeling - Michael Alexander http://www3.ietf.org/proceedings/07mar/slides/opsarea-4.ppt Scott Bradner - very complex, IETF not good history in this type of thing Pekka - benefit would go to NMS vendors? response - benefit to equipment vendors to get devices into NMSs Pekka - simpler version may be helpful, clean terminology would be helpful potential but current scope too big, maybe more fit to the IRTF Margret Wassermann - interesting, but what gets standardized? response - focus on meta models only xx - sim (info model) underway for 4 years - achieved meta view, now time to distribute to groups to use response - this proposal is much simpler than sim Chair: suggest create list & discuss issues raised in meeting, only one opposed 3. MIB-Doctor-sponsored MIB-document-writing template: David Harrington http://www3.ietf.org/proceedings/07mar/slides/opsarea-8.ppt No discussions 4. Mini-BOF E: MIB module editing in XML : Emile Stephan http://www3.ietf.org/proceedings/07mar/slides/opsarea-5.ppt Sharon - do you actually have tools to translate XML to MIBs? response - I'm proposing to edit the MIB in XML and use XSL transformation. Sharon - do you do SMI verification? Emile: Shows that the tool captures mistakes. Bill Fenner - wrong way to model MIB in XML - better to have element that is syntax or XML schema for writing a MIB response - I'm using XML in a very loose way, but this is better than nothing. Please make better proposal. Juergen - The opening argument in the beginning you wanted to move to data model. The main issue is not syntactic problem to get there. response - I asked for a BOF in order to discuss and have proposals of how to move forward chair - does not feel that it's a standards problem at this time but maybe should be discussed with tools people 5. Mini-BOF F: Japanese Data Model Standards: Tomoyuki Iijima http://www3.ietf.org/proceedings/07mar/slides/opsarea-6.ppt - proposed goal for NGO Sharon - why select VLANs? response - well used technology in enterprise space chair - MIB modules are used for VLAN config in enterprises - good to see comparison between SNMP & netconf chair - In Chicago we will have one or two BOFs for data modeling. This contribution belongs to this space. Encourage to continue the work, update the I-D and bring proposals to the NGO work. 6. Mini-BOF G: OWL techniques for MIB to XML documents and schema translation - Bob Natale http://www3.ietf.org/proceedings/07mar/slides/opsarea-7.ppt Andy Bierman - there are issues beyond mere translations - suggests that experts in a protocol would need to be involved in determining if conversion can even be done Scott Bradner - how fill in holes (beyond what MIB covers) bob - would need to have collaborative process for each MIB chair - good to invite WS-CIM folk to join discussion Sharon xx - may be mismatch between MIBs and service-orientated interface - also may be too high a data bandwidth generated for SOA/WS management stations Bob - yes an issue Sharon - how much interest in WS community Bob - much need among user & developer communities Dan Romascanu (from floor) - not sure that this fits the base role of the IETF - make net work better Bob - this will help the operators run the network better Eugene - spent years in WS area - high level seems to be good - but WS seems to rely on different fundamental information needs than what is in MIBs - also some groups in this area do not like each other (OAIS & DMTF for example). The other is political. Are the two standard bodies can really work together in the long term? xx - good idea & he is optimistic that this would be useful - but there are valid concerns about level of impact on the other communities chair - open list for discussion, consensus in the room 7. Late Submission - requirements to tunneling protocols OAM - KIKUCHI Yutaka Pekka - why is this tunnel specific? Only reordering is response - Our main objective is to measure tunnel quality. Chair - Maybe the next version of the draft you may need to better clarify what is tunnel quality, to emphasis the difference between interface and tunnel interface Scott Bradner - if you prepend seq # you change packet size you may have to fragment Response - I used GRE sequence number (32 bits). Good, if you prepend sequence number you may get into segmentation situation. chair -We'll continue to discuss this on the list, gauge interest and answer the questions. I forwarded this to IPPM and benchmarking WG. Tries to sense the interest in the room: 4-5 hands. Is this not relevant? None 8. Open microphone Margaret: The topics today were interesting. But interesting is not good enough. We have really bad history of trying to standardize management approaches that were not really needed by service providers. We much work only on what users really need. Dan: We split the OPS session to two days. Today's is more the 'new' issues. We need more feedback from operators. Work in the past lead to NETCONF etc. Dave K.: We haven't allowed BOFs for the last few IETF being strict to ensure that ideas that are not really required will not go forward. However we felt that we may miss some good ideas from going forward. Bob: To answer Margaret. I wanted to stress in my presentation that there are operators and users that need the data models. What do you want that shows this need. Margaret: I want them to be here and participate. If we don' t have multiple sources of input. David Partain: I'd like to address Margaret point. There has been a lot of discussions on data modeling. This is a real problem, since everyone wants to use NETCOM but there is not any data models. Our users want NETCONF. I think this is fair to characterizing it as real need. Margeret: Are you the customer of the data model David: Me and my customer. Ron B.: Maybe we should go to the operators and ask what are the most critical problems and start from that, i.e. solve this first. When he was a operator he would not have seen the issue as a lack of a data model - rather why does pager go off - should keep doing this kind of thing but should try to get closer to user’s actual perceived needs Andy: I don't believe it is possible to have a protocol independent data model. We don't have the expertise in web verbs etc. You should do the work. I agree with Scott that we don't have a way to fill in the holes. Dave H: Addressing Margaret point. I'm going to have a workgroup meeting to understand their needs. Are there any operators in the rooms? ~ 5 hands. on Monday he proposed an ops nm WG to get operators involved - looking for volunteers to help ops area better understand operator needs, also - operations & managements guidelines doc - also ooking for volunteers for that Bob: We might have minimum basic requirements for conversion of MIBs. But most MIBs should be map-able. Dave K.: Is the experiment with the mini-BOF useful? Around 30 hands Who thinks this is not useful? None Dan: Regarding Dave H suggestion for two working groups, I suggest that we unite it into one working group. Dave H: I think these are two different problems and should be done by two different contributor groups. Protocol designers and Operators. Dan: I agree, but work generates feedback and input generates work. My concern that split of resources and that there will not be enough interest if we split it to two. Dave K: From the operator part we don't want to be too lonely… The important thing is to have a good charter for the working group. Ron B: New WG chair. Applause to Dave K. I work for Juniper. I was an operator in the VBNS network. Looking forward to work with you all. Received: from [134.169.34.51] (arlet.ibr.cs.tu-bs.de [134.169.34.51]) by bierator.ibr.cs.tu-bs.de (8.13.4/8.13.4/Debian-3sarge3) with ESMTP id l2T6wVM6025887 (version=TLSv1/SSLv3 cipher=DHE-RSA-AES256-SHA bits=256 verify=NOT); Thu, 29 Mar 2007 08:58:31 +0200 Message-ID: <460B637A.1060309@ibr.cs.tu-bs.de> Date: Thu, 29 Mar 2007 08:58:02 +0200 From: =?ISO-8859-1?Q?Frank_Strau=DF?= Organization: IBR, TU Braunschweig User-Agent: Thunderbird 1.5.0.10 (Macintosh/20070221) MIME-Version: 1.0 To: Frank Strau? , nmrg@ibr.cs.tu-bs.de Subject: Re: [nmrg] draft prague meeting minutes References: <20070325203342.GB7322@elstar.local> <4607A633.2000507@ibr.cs.tu-bs.de> <20070326111803.GA8149@elstar.local> <4607B014.6090403@ibr.cs.tu-bs.de> <20070327064332.GA1321@elstar.local> <4608D662.60601@ibr.cs.tu-bs.de> <20070328182922.GA3707@elstar.local> In-Reply-To: <20070328182922.GA3707@elstar.local> Content-Type: text/plain; charset=ISO-8859-1; format=flowed Content-Transfer-Encoding: 7bit X-BeenThere: nmrg@ibr.cs.tu-bs.de X-Mailman-Version: 2.1.5 Precedence: list List-Id: Network Management Research Group List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Thu, 29 Mar 2007 06:58:31 -0000 Juergen Schoenwaelder wrote: > On Tue, Mar 27, 2007 at 10:31:30AM +0200, Frank Strau? wrote: > >> My general thinking is to keep the schema homogeneous from the >> perspective of the consumer of XML rendered traces. This should not >> be guided by the origin format (SNMP), at least not primarily, but >> by the semantics of the represented data. In this sense: yes, I >> really do think it would be a good idea to render real error causes >> as something like NMTOKENs from an enumeration list and >> max-repetitions as numbers, of course. > > Our goal is to represent fields of protocol messages and the protocol > in question carries a number in this particular field - with semantics > depending on the protocol operation. Such overloading happens in real > protocols; you seem to take a fundamental position that this > overloading is bad and hence we should not expose it in other formats; > the ultimate solution would then actually to introduce different > fields, at least in the XML representation. There are protocols in which such an overloading makes sense, e.g., to achieve a more compact representation. But in case of XML, I think, splitting different semantics in seperate fields is a good approach. But... > While I in general agree with your principle (avoid overloading), I am > not sure it is worth to adhere to it in this case since following your > principle requires changes to several programs and ultimately the CSV > and XML formats, which I like to minimize as long as things are not > really broken. (An example for what I consider "broken" is our > unfortunate decision to turn Counter32s into Unsigned32 and thus > loosing information.) Of course, it's not "broken", if you keep the combined field as it is in SNMP. I had no clue how large the set of existing code already is. I understand this point. Hence, I'm fine, if you tend to keep it the way it is. I thought it would be easier to get things in a *slightly* cleaner shape before this document becomes an RFC. Received: from hermes.iu-bremen.de (hermes.iu-bremen.de [212.201.44.23]) by bierator.ibr.cs.tu-bs.de (8.13.4/8.13.4/Debian-3sarge3) with ESMTP id l2SITSpI002572; Wed, 28 Mar 2007 20:29:33 +0200 Received: from localhost (demetrius.iu-bremen.de [212.201.44.32]) by hermes.iu-bremen.de (Postfix) with ESMTP id BD4506DCC9; Wed, 28 Mar 2007 20:29:28 +0200 (CEST) Received: from hermes.iu-bremen.de ([212.201.44.23]) by localhost (demetrius.iu-bremen.de [212.201.44.32]) (amavisd-new, port 10024) with ESMTP id 09011-02; Wed, 28 Mar 2007 20:29:25 +0200 (CEST) Received: from elstar.local (elstar.iuhb02.iu-bremen.de [10.50.231.133]) by hermes.iu-bremen.de (Postfix) with ESMTP id 242916DC4C; Wed, 28 Mar 2007 20:29:24 +0200 (CEST) Received: by elstar.local (Postfix, from userid 501) id 0462B1F8353; Wed, 28 Mar 2007 20:29:22 +0200 (CEST) Date: Wed, 28 Mar 2007 20:29:22 +0200 From: Juergen Schoenwaelder To: Frank Strau? Subject: Re: [nmrg] draft prague meeting minutes Message-ID: <20070328182922.GA3707@elstar.local> Mail-Followup-To: Frank Strau? , nmrg@ibr.cs.tu-bs.de References: <20070325203342.GB7322@elstar.local> <4607A633.2000507@ibr.cs.tu-bs.de> <20070326111803.GA8149@elstar.local> <4607B014.6090403@ibr.cs.tu-bs.de> <20070327064332.GA1321@elstar.local> <4608D662.60601@ibr.cs.tu-bs.de> MIME-Version: 1.0 Content-Type: text/plain; charset=us-ascii Content-Disposition: inline In-Reply-To: <4608D662.60601@ibr.cs.tu-bs.de> User-Agent: Mutt/1.5.14 (2007-02-12) X-Virus-Scanned: amavisd-new 2.3.3 (20050822) at iu-bremen.de X-IBRFilter-SpamReport: 0.001 () BAYES_50 X-Scanned-By: MIMEDefang 2.51 on 134.169.34.9 Cc: nmrg@ibr.cs.tu-bs.de X-BeenThere: nmrg@ibr.cs.tu-bs.de X-Mailman-Version: 2.1.5 Precedence: list Reply-To: j.schoenwaelder@iu-bremen.de List-Id: Network Management Research Group List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Wed, 28 Mar 2007 18:29:36 -0000 On Tue, Mar 27, 2007 at 10:31:30AM +0200, Frank Strau? wrote: > My general thinking is to keep the schema homogeneous from the > perspective of the consumer of XML rendered traces. This should not > be guided by the origin format (SNMP), at least not primarily, but > by the semantics of the represented data. In this sense: yes, I > really do think it would be a good idea to render real error causes > as something like NMTOKENs from an enumeration list and > max-repetitions as numbers, of course. Our goal is to represent fields of protocol messages and the protocol in question carries a number in this particular field - with semantics depending on the protocol operation. Such overloading happens in real protocols; you seem to take a fundamental position that this overloading is bad and hence we should not expose it in other formats; the ultimate solution would then actually to introduce different fields, at least in the XML representation. While I in general agree with your principle (avoid overloading), I am not sure it is worth to adhere to it in this case since following your principle requires changes to several programs and ultimately the CSV and XML formats, which I like to minimize as long as things are not really broken. (An example for what I consider "broken" is our unfortunate decision to turn Counter32s into Unsigned32 and thus loosing information.) /js -- Juergen Schoenwaelder Jacobs University Bremen P.O. Box 750 561, 28725 Bremen, Germany Received: from co300216-co-outbound.avaya.com (co300216-co-outbound.net.avaya.com [198.152.13.100]) by bierator.ibr.cs.tu-bs.de (8.13.4/8.13.4/Debian-3sarge3) with ESMTP id l2RD3AqI004854 for ; Tue, 27 Mar 2007 15:03:15 +0200 Received: from unknown (HELO IS0004AVEXU1.global.avaya.com) ([135.64.105.51]) by co300216-co-outbound.avaya.com with ESMTP; 27 Mar 2007 09:05:32 -0400 X-IronPort-AV: i="4.14,334,1170651600"; d="scan'208"; a="69316883:sNHT20588610" X-MimeOLE: Produced By Microsoft Exchange V6.0.6603.0 content-class: urn:content-classes:message MIME-Version: 1.0 Content-Type: text/plain; charset="windows-1256" Date: Tue, 27 Mar 2007 15:02:21 +0200 Message-ID: X-MS-Has-Attach: X-MS-TNEF-Correlator: Thread-Topic: Minutes of the OPS Area open meetings in Prague - draft 1 Thread-Index: AcdwcCfEZyJt5bMOTaeTKpD3N4xYIQ== From: "Romascanu, Dan \(Dan\)" To: , , , "IETF MIBs" , , X-IBRFilter-SpamReport: 0.001 () BAYES_50 X-Scanned-By: MIMEDefang 2.51 on 134.169.34.9 Content-Transfer-Encoding: 8bit X-MIME-Autoconverted: from quoted-printable to 8bit by bierator.ibr.cs.tu-bs.de id l2RD3AqI004854 Subject: [nmrg] Minutes of the OPS Area open meetings in Prague - draft 1 X-BeenThere: nmrg@ibr.cs.tu-bs.de X-Mailman-Version: 2.1.5 Precedence: list List-Id: Network Management Research Group List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Tue, 27 Mar 2007 13:03:28 -0000 Please find below a draft of the OPS area open meeting. I am still missing notes from the 3/19 session, so corrections and additions are welcome, including your own comments if you were at mic. Dan Meeting 1 - Monday March 19, 2007 15:20 to 17:20 1. Meeting Administrivia 2. Introduction of new Area Director - Ron Bonica Dan - thanking David Kessens for his years of service as Area Director 3. Mini-BOF A: - Manageability and Operational Guidelines - David Harrington http://www3.ietf.org/proceedings/07mar/slides/opsarea-1.ppt Discussions about the structure of the document - should the protocol evaluation be part of the document? 4. Mini-BOF B: COPS push mode policy configuration - Tom Taylor and Tina Tsou http://www3.ietf.org/proceedings/07mar/slides/opsarea-3.ppt Bert Wijnen - to what extent is COPS used in the industry today? straw poll if interest - who would be interested in this work - a few Should it be standards track? - the authors would like it so. The ITU-T is using a few protocols including DIAMETER and COPS from the IETF that require some extensions. Action item - Tom to address the ops-area list with query to determine status of implementation and deployment of COPS and COPS-PR and level of interest in participating in such a work 5. Mini-BOF C: Best Current Practices in Operations and Management - David Harrington http://www3.ietf.org/proceedings/07mar/slides/opsarea-2.ppt Proposal to create operation capabilities working group, modeled on the experience of opsec WG Would bring in operators experience Framework document and operational guidelines as principal output Is opsec a success story? Straw poll indicates interest - continue discussion after the next item 6. Improved Efficiency of the OPS Area - proposal for the formation of a OPS Area WG - ADs David and Dan - create structure for OPS area, similar to the one existing in TSV and Routing Should it be merged with OPS and management capabilities WG as suggested by David H.? TSV chair - success in Transport due to multiple small items, no dominant item Straw poll indicates interest - nobody believes it's a bad idea, continue discussions in net meeting 7. Open Microphone Meeting 2 - Wednesday March 21, 2007 - 13:00 to 16:10 1. Meeting Administrivia ADs (total: 5 min) 2. Mini-BOF D: NE/facilities/lines/protocols/services data modeling - Michael Alexander http://www3.ietf.org/proceedings/07mar/slides/opsarea-4.ppt Scott Bradner - very complex, IETF not good history in this type of thing Pekka - benefit would go to NMS vendors? response - benefit to equipment vendors to get devices into NMSs Pekka - simpler version may be helpful, clean terminology would be helpful potential but current scope too big, maybe more fit to the IRTF Margret Wassermann - interesting, but what gets standardized? response - focus on meta models only xx - sim (info model) underway for 4 years - achieved meta view, now time to distribute to groups to use response - this proposal is much simpler than sim Chair: suggest create list & discuss issues raised in meeting, only one opposed 3. MIB-Doctor-sponsored MIB-document-writing template: David Harrington http://www3.ietf.org/proceedings/07mar/slides/opsarea-8.ppt No discussions 4. Mini-BOF E: MIB module editing in XML : Emile Stephan http://www3.ietf.org/proceedings/07mar/slides/opsarea-5.ppt Sharon - do you actually have tools to translate XML to MIBs? response - I'm proposing to edit the MIB in XML and use XSL transformation. Sharon - do you do SMI verification? Emile: Shows that the tool captures mistakes. Bill Fenner - wrong way to model MIB in XML - better to have element that is syntax or XML schema for writing a MIB response - I'm using XML in a very loose way, but this is better than nothing. Please make better proposal. Juergen - The opening argument in the beginning you wanted to move to data model. The main issue is not syntactic problem to get there. response - I asked for a BOF in order to discuss and have proposals of how to move forward chair - does not feel that it's a standards problem at this time but maybe should be discussed with tools people 5. Mini-BOF F: Japanese Data Model Standards: Tomoyuki Iijima http://www3.ietf.org/proceedings/07mar/slides/opsarea-6.ppt - proposed goal for NGO Sharon - why select VLANs? response - well used technology in enterprise space chair - MIB modules are used for VLAN config in enterprises - good to see comparison between SNMP & netconf chair - In Chicago we will have one or two BOFs for data modeling. This contribution belongs to this space. Encourage to continue the work, update the I-D and bring proposals to the NGO work. 6. Mini-BOF G: OWL techniques for MIB to XML documents and schema translation - Bob Natale http://www3.ietf.org/proceedings/07mar/slides/opsarea-7.ppt Andy Bierman - there are issues beyond mere translations - suggests that experts in a protocol would need to be involved in determining if conversion can even be done Scott Bradner - how fill in holes (beyond what MIB covers) bob - would need to have collaborative process for each MIB chair - good to invite WS-CIM folk to join discussion Sharon xx - may be mismatch between MIBs and service-orientated interface - also may be too high a data bandwidth generated for SOA/WS management stations Bob - yes an issue Sharon - how much interest in WS community Bob - much need among user & developer communities Dan Romascanu (from floor) - not sure that this fits the base role of the IETF - make net work better Bob - this will help the operators run the network better Eugene - spent years in WS area - high level seems to be good - but WS seems to rely on different fundamental information needs than what is in MIBs - also some groups in this area do not like each other (OAIS & DMTF for example). The other is political. Are the two standard bodies can really work together in the long term? xx - good idea & he is optimistic that this would be useful - but there are valid concerns about level of impact on the other communities chair - open list for discussion, consensus in the room 7. Late Submission - requirements to tunneling protocols OAM - KIKUCHI Yutaka Pekka - why is this tunnel specific? Only reordering is response - Our main objective is to measure tunnel quality. Chair - Maybe the next version of the draft you may need to better clarify what is tunnel quality, to emphasis the difference between interface and tunnel interface Scott Bradner - if you prepend seq # you change packet size you may have to fragment Response - I used GRE sequence number (32 bits). Good, if you prepend sequence number you may get into segmentation situation. chair -We'll continue to discuss this on the list, gauge interest and answer the questions. I forwarded this to IPPM and benchmarking WG. Tries to sense the interest in the room: 4-5 hands. Is this not relevant? None 8. Open microphone Margaret: The topics today were interesting. But interesting is not good enough. We have really bad history of trying to standardize management approaches that were not really needed by service providers. We much work only on what users really need. Dan: We split the OPS session to two days. Today's is more the 'new' issues. We need more feedback from operators. Work in the past lead to NETCONF etc. Dave K.: We haven't allowed BOFs for the last few IETF being strict to ensure that ideas that are not really required will not go forward. However we felt that we may miss some good ideas from going forward. Bob: To answer Margaret. I wanted to stress in my presentation that there are operators and users that need the data models. What do you want that shows this need. Margaret: I want them to be here and participate. If we don' t have multiple sources of input. David Partain: I'd like to address Margaret point. There has been a lot of discussions on data modeling. This is a real problem, since everyone wants to use NETCOM but there is not any data models. Our users want NETCONF. I think this is fair to characterizing it as real need. Margeret: Are you the customer of the data model David: Me and my customer. Ron B.: Maybe we should go to the operators and ask what are the most critical problems and start from that, i.e. solve this first. When he was a operator he would not have seen the issue as a lack of a data model - rather why does pager go off - should keep doing this kind of thing but should try to get closer to user’s actual perceived needs Andy: I don't believe it is possible to have a protocol independent data model. We don't have the expertise in web verbs etc. You should do the work. I agree with Scott that we don't have a way to fill in the holes. Dave H: Addressing Margaret point. I'm going to have a workgroup meeting to understand their needs. Are there any operators in the rooms? ~ 5 hands. on Monday he proposed an ops nm WG to get operators involved - looking for volunteers to help ops area better understand operator needs, also - operations & managements guidelines doc - also ooking for volunteers for that Bob: We might have minimum basic requirements for conversion of MIBs. But most MIBs should be map-able. Dave K.: Is the experiment with the mini-BOF useful? Around 30 hands Who thinks this is not useful? None Dan: Regarding Dave H suggestion for two working groups, I suggest that we unite it into one working group. Dave H: I think these are two different problems and should be done by two different contributor groups. Protocol designers and Operators. Dan: I agree, but work generates feedback and input generates work. My concern that split of resources and that there will not be enough interest if we split it to two. Dave K: From the operator part we don't want to be too lonely… The important thing is to have a good charter for the working group. Ron B: New WG chair. Applause to Dave K. I work for Juniper. I was an operator in the VBNS network. Looking forward to work with you all. Received: from [134.169.34.51] (arlet.ibr.cs.tu-bs.de [134.169.34.51]) by bierator.ibr.cs.tu-bs.de (8.13.4/8.13.4/Debian-3sarge3) with ESMTP id l2R8VtZn013226 (version=TLSv1/SSLv3 cipher=DHE-RSA-AES256-SHA bits=256 verify=NOT) for ; Tue, 27 Mar 2007 10:31:55 +0200 Message-ID: <4608D662.60601@ibr.cs.tu-bs.de> Date: Tue, 27 Mar 2007 10:31:30 +0200 From: =?ISO-8859-1?Q?Frank_Strau=DF?= Organization: IBR, TU Braunschweig User-Agent: Thunderbird 1.5.0.10 (Macintosh/20070221) MIME-Version: 1.0 To: nmrg@ibr.cs.tu-bs.de Subject: Re: [nmrg] draft prague meeting minutes References: <20070325203342.GB7322@elstar.local> <4607A633.2000507@ibr.cs.tu-bs.de> <20070326111803.GA8149@elstar.local> <4607B014.6090403@ibr.cs.tu-bs.de> <20070327064332.GA1321@elstar.local> In-Reply-To: <20070327064332.GA1321@elstar.local> Content-Type: text/plain; charset=ISO-8859-1; format=flowed Content-Transfer-Encoding: 7bit X-Mailman-Approved-At: Wed, 28 Mar 2007 19:57:59 +0200 X-BeenThere: nmrg@ibr.cs.tu-bs.de X-Mailman-Version: 2.1.5 Precedence: list List-Id: Network Management Research Group List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Tue, 27 Mar 2007 08:31:55 -0000 Juergen Schoenwaelder wrote: >>>>> - The main reason to use names for protocol operations is that they >>>>> are frequently read by humans for debugging and analysis while >>>>> the error-status value is usually of secondary importance (as is >>>>> the version number). >>>>> >>>>> [Ed: the more I think about it, it may actually be useful to use >>>>> strings rather than numbers] >>>> I like your later thoughts. :-) >>> Well, no, later on I changed my mind again. There are two fields that >>> can be rendered - the version number and the error status. For the >>> version number, rendering might make sense (or not - depends on your >>> taste). For the error-status, the situation is a bit more complex >>> since GetBulk uses this field to convey the max-repetitions; so >>> rendering would have to take into account the PDU type (and since the >>> field is actually not used for requests other than GetBulk, rendering >>> probably only makes sense for responses) and I am not really sure this >>> leads to simplification, especially for scripts that have to process >>> this data. >> So, what about "the main reason to use names for protocol operations is >> that they are frequently read by humans for debugging and analysis ..." >> Why do you think the error-status is of minor importance? *If* errors >> occur, it could be interesting to get statistics or debugging info on >> their causes and the argument for human readability is true as well, in >> my opinion. > > The error-status field was included with the intention that it is > possible to get statistics - no doubt about that. However, when you > look for something in the traces, our observation was that the first > thing you almost always do is to understand which type of protocol > messages is involved. This is not true for the error-status as far as > I can tell from my experience so far. Furthermore, the error-status > field carries different information as I explained above. So you > really believe we should render the protocol field value depending on > the PDU type? > > Note that we have analysis code which simply counts the different > values in this field on a per PDU type which gives you the error > status distribution for responses, the max-repetitions distribution > for GetBulks, and an idea whether there are surprises for the other > messages (means value != 0). If we follow your approach, this will get > a bit more complex to do and the same is true for our converters > written in languages where numbers and strings are treated quite > different. First of all, please note that I do *not* have any experience with such traces and their analysis. So, if you think you know better what's the best approach, you are most probably right. :-) I just want to give my impression from a certain distance and from what I have learned in the past few years about good and bad XML schema design independent from the application domain. My general thinking is to keep the schema homogeneous from the perspective of the consumer of XML rendered traces. This should not be guided by the origin format (SNMP), at least not primarily, but by the semantics of the represented data. In this sense: yes, I really do think it would be a good idea to render real error causes as something like NMTOKENs from an enumeration list and max-repetitions as numbers, of course. I think the schema should not be guided by any specific programming languages. Received: from hermes.iu-bremen.de (hermes.iu-bremen.de [212.201.44.23]) by bierator.ibr.cs.tu-bs.de (8.13.4/8.13.4/Debian-3sarge3) with ESMTP id l2R6hlo8003732; Tue, 27 Mar 2007 08:43:52 +0200 Received: from localhost (demetrius.iu-bremen.de [212.201.44.32]) by hermes.iu-bremen.de (Postfix) with ESMTP id 64E116DBC6; Tue, 27 Mar 2007 08:43:47 +0200 (CEST) Received: from hermes.iu-bremen.de ([212.201.44.23]) by localhost (demetrius.iu-bremen.de [212.201.44.32]) (amavisd-new, port 10024) with ESMTP id 20941-09; Tue, 27 Mar 2007 08:43:43 +0200 (CEST) Received: from elstar.local (elstar.iuhb02.iu-bremen.de [10.50.231.133]) by hermes.iu-bremen.de (Postfix) with ESMTP id 97DA06DB56; Tue, 27 Mar 2007 08:43:43 +0200 (CEST) Received: by elstar.local (Postfix, from userid 501) id A3F501F642E; Tue, 27 Mar 2007 08:43:32 +0200 (CEST) Date: Tue, 27 Mar 2007 08:43:32 +0200 From: Juergen Schoenwaelder To: Frank Strau? Subject: Re: [nmrg] draft prague meeting minutes Message-ID: <20070327064332.GA1321@elstar.local> Mail-Followup-To: Frank Strau? , nmrg@ibr.cs.tu-bs.de References: <20070325203342.GB7322@elstar.local> <4607A633.2000507@ibr.cs.tu-bs.de> <20070326111803.GA8149@elstar.local> <4607B014.6090403@ibr.cs.tu-bs.de> MIME-Version: 1.0 Content-Type: text/plain; charset=us-ascii Content-Disposition: inline In-Reply-To: <4607B014.6090403@ibr.cs.tu-bs.de> User-Agent: Mutt/1.5.14 (2007-02-12) X-Virus-Scanned: amavisd-new 2.3.3 (20050822) at iu-bremen.de X-IBRFilter-SpamReport: 0.001 () BAYES_50 X-Scanned-By: MIMEDefang 2.51 on 134.169.34.9 Cc: nmrg@ibr.cs.tu-bs.de X-BeenThere: nmrg@ibr.cs.tu-bs.de X-Mailman-Version: 2.1.5 Precedence: list Reply-To: j.schoenwaelder@iu-bremen.de List-Id: Network Management Research Group List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Tue, 27 Mar 2007 06:43:55 -0000 On Mon, Mar 26, 2007 at 01:35:48PM +0200, Frank Strau? wrote: > Juergen Schoenwaelder wrote: > > > >The problem is that there is not just one solution. Some operators > >give away pcap files, others XML or CSV files, some with filtering > >some with anonymization, and yet others don't give any files away but > >are willing to run scripts on behalf of researchers. So this figure > >simply can't be drawn. > > I see. So, could you please spend a short paragraph on this diversity, > quite like the one above? Maybe, I could have read the draft more > carefully, but the way I read it, such a paragraph would have helped me. I can try to make this clearer. > >>> - The main reason to use names for protocol operations is that they > >>> are frequently read by humans for debugging and analysis while > >>> the error-status value is usually of secondary importance (as is > >>> the version number). > >>> > >>> [Ed: the more I think about it, it may actually be useful to use > >>> strings rather than numbers] > >>I like your later thoughts. :-) > > > >Well, no, later on I changed my mind again. There are two fields that > >can be rendered - the version number and the error status. For the > >version number, rendering might make sense (or not - depends on your > >taste). For the error-status, the situation is a bit more complex > >since GetBulk uses this field to convey the max-repetitions; so > >rendering would have to take into account the PDU type (and since the > >field is actually not used for requests other than GetBulk, rendering > >probably only makes sense for responses) and I am not really sure this > >leads to simplification, especially for scripts that have to process > >this data. > > So, what about "the main reason to use names for protocol operations is > that they are frequently read by humans for debugging and analysis ..." > Why do you think the error-status is of minor importance? *If* errors > occur, it could be interesting to get statistics or debugging info on > their causes and the argument for human readability is true as well, in > my opinion. The error-status field was included with the intention that it is possible to get statistics - no doubt about that. However, when you look for something in the traces, our observation was that the first thing you almost always do is to understand which type of protocol messages is involved. This is not true for the error-status as far as I can tell from my experience so far. Furthermore, the error-status field carries different information as I explained above. So you really believe we should render the protocol field value depending on the PDU type? Note that we have analysis code which simply counts the different values in this field on a per PDU type which gives you the error status distribution for responses, the max-repetitions distribution for GetBulks, and an idea whether there are surprises for the other messages (means value != 0). If we follow your approach, this will get a bit more complex to do and the same is true for our converters written in languages where numbers and strings are treated quite different. /js -- Juergen Schoenwaelder Jacobs University Bremen P.O. Box 750 561, 28725 Bremen, Germany Received: from rwcrmhc14.comcast.net (rwcrmhc14.comcast.net [204.127.192.84]) by bierator.ibr.cs.tu-bs.de (8.13.4/8.13.4/Debian-3sarge3) with ESMTP id l2QEskt6023093 for ; Mon, 26 Mar 2007 16:54:51 +0200 Received: from harrington73653 (c-24-128-104-207.hsd1.nh.comcast.net[24.128.104.207]) by comcast.net (rwcrmhc14) with SMTP id <20070326145437m140022iiie>; Mon, 26 Mar 2007 14:54:38 +0000 From: "David B Harrington" To: , References: <20070315144631.GB17038@elstar.iuhb02.iu-bremen.de> <5389061B65D50446B1783B97DFDB392D04F32254@orsmsx411.amr.corp.intel.com> Date: Mon, 26 Mar 2007 10:54:34 -0400 Message-ID: <008101c76fb6$adb68720$0600a8c0@china.huawei.com> MIME-Version: 1.0 Content-Type: text/plain; charset="US-ASCII" Content-Transfer-Encoding: 7bit X-Mailer: Microsoft Office Outlook 11 X-MIMEOLE: Produced By Microsoft MimeOLE V6.00.2900.3028 In-Reply-To: <5389061B65D50446B1783B97DFDB392D04F32254@orsmsx411.amr.corp.intel.com> Thread-Index: AcdnEPJ9htFVWTZnQWGNuZ5QWTojMQB2VsdwAbEmD7A= X-IBRFilter-SpamReport: 1.615 (*) BAYES_50,DNS_FROM_RFC_POST X-Scanned-By: MIMEDefang 2.51 on 134.169.34.9 Subject: [nmrg] comparing management standards (was Comments Question about draft-xu-cops-push-00.txt) X-BeenThere: nmrg@ibr.cs.tu-bs.de X-Mailman-Version: 2.1.5 Precedence: list List-Id: Network Management Research Group List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Mon, 26 Mar 2007 14:55:02 -0000 Hi David, (I changed the subject line since this is not about the cops-pr proposal anymore) (I reduced the CC's to the ops-area and the nmrg mailing lists, hoping that will reduce duplicate mailings, I BCC'd the other addresses, to alert them they should join the ops-area list or the nmrg list for this discussion.) So far we have not done a very good job of comparing and contrasting IETF NM standards, and providing guidelines of how they might operate together in a system. I am editing an OPS area "Guidelines for Operability and Manageability" draft that currently includes sections for describing the applicability of IETF NM protocols and IETF NM data models. This document may be similar to what you are describing, but to avoid the "boiling the ocean" problem, we are focusing on comparing and contrasting IETF standards for NM, before we consider expanding it to include NM-related standards of other SDOs. As we develop the operability and manageability guidelines draft, we may split these sections into a second draft specifically for comparing and contrasting available technologies. We plan to use a bottom-up approach of understanding and documenting how IETF NM protocols are **actually deployed** to manage real IP-based networks today, so we can understand current practices better. It would be helpful if other SDOs provided similar documentation of how their NM-related standards are actually deployed to manage real IP-based networks today. Such a focused approach does have its potential pitfalls, of course; by focusing only on the IETF NM standards, in a bottom-up approach, we might miss the bigger picture espoused by other SDOs that prefer a top-down approach. We are faced with a lack of quantitative research into how NM protocols (standard or not) are used today in real networks, so it will be hard to compare and contrast based on quantitative measures. We will probably need to base the document we are producing on anecdotal reports and empirical data from small research networks until the research community can get enough cooperation from commercial interests to be able to study patterns in commercial enterprise and service provider networks. The current work being done by the NMRG and others to generate quantitative data, and to address the concerns of commercial interests about the sharing of data (such as anonymization), hopefully will lead to better information in the future. David Harrington dharrington@huawei.com dbharrington@comcast.net ietfdbh@comcast.net > -----Original Message----- > From: nmrg-bounces@ibr.cs.tu-bs.de > [mailto:nmrg-bounces@ibr.cs.tu-bs.de] On Behalf Of Durham, David > Sent: Saturday, March 17, 2007 7:23 PM > To: j.schoenwaelder@iu-bremen.de; xuheyuan > Cc: ops-nm@ietf.org; dongsun@alcatel-lucent.com; > Romascanu,Dan (Dan); Hexian Huang; Tom-PT Taylor; > nmrg@ibr.cs.tu-bs.de; ops-area@ietf.org; Tina Tsou > Subject: RE: [nmrg] Re: Comments Question about > draft-xu-cops-push-00.txt > > If the goal is to use XML, then why reinvent the wheel on webservices > for management outside of the W3C and DMTF? > SNMP, COPS, DIAMETER, NETCONF... Where does it end? > > Is there an RFC that does a thorough analysis of the alternatives > (IETF's and other standards bodies' included) in terms of > capabilities, > latency, bandwidth, complexity, backward compatibility and other such > quantitative metrics? If not, this might be a helpful activity as the > mailing list discussions quickly become crystal ball gazing and > philosophical in nature. Then folks can figure out if their > requirements > make a better fit for one protocol over another. > > -Dave > > > -----Original Message----- > > From: nmrg-bounces@ibr.cs.tu-bs.de > [mailto:nmrg-bounces@ibr.cs.tu-bs.de] > > On Behalf Of Juergen Schoenwaelder > > Sent: Thursday, March 15, 2007 7:47 AM > > To: xuheyuan > > Cc: Tina Tsou; ops-nm@ietf.org; dongsun@alcatel-lucent.com; > Romascanu, > Dan > > (Dan); Hexian Huang; Tom-PT Taylor; nmrg@ibr.cs.tu-bs.de; ops- > > area@ietf.org > > Subject: [nmrg] Re: Comments Question about > draft-xu-cops-push-00.txt > > > > On Thu, Mar 15, 2007 at 10:19:18PM +0800, xuheyuan wrote: > > > > > At that time the Re reference point, merged into Rw > reference point > > > later, controlled the IP edge, actually an IP-IP gateway. In the > > > current network, most existing IP-IP gateways are routers, which > > > support COPS already. In reality, using COPS is the > quickest way to > > > do that as described in approach 2 in this draft. > > > > I have routers that support NETCONF in my lab and no routers > > supporting COPS-PR or COPS. Perhaps this is why our views of the > > world are somewhat different. > > > > > COPS-PR by nature does policy control, Rw interface mainly does > > > policy control dynamically, not just push configuration > > > information. Besides, in 2005,NETCONF was a pretty new > protocol, and > > > few existing routers supported NETCONF. > > > > I never understood the distinction between configuration and policy > > information when it comes to the device interface. The PDP is the > > policy engine and what comes out of this engine as provisioning > > information is for me not really distinct from configuration data > > coming out of other systems (e.g. customer provisioning systems). > > > > I agree that NETCONF was pretty new in 2005 and it still is in 2007. > > COPS-PR is older but as far as I can tell not too widely implemented > > and the number of people within the IETF who do understand COPS-PR > > well is like to be somewhat smaller than the number of people within > > the IETF who understand NETCONF and my impression was that COPS-PR > > awareness declines. > > > > > As RACF supports both fix and mobile, push and pull modes, in the > > > real networking, PD-FE may possibly support both modes, > and in pull > > > modes, COPS is very effective, so, in push mode, if > approach 2 COPS > > > could be adopted, it will simplify the implementation. > > > > The implementation simplification is a relative thing (if you have > > COPS, using COPS is simple, if you have NETCONF, using NETCONF is > > simple). Not sure how to make a decision on this. > > > > Again, I like to see the discussion raised to the technical level to > > first understand if NETCONF could do what you need it to do equally > > well or whether there is any technical feature that really > > distinguishes COPS-PR from NETCONF. > > > > /js > > > > -- > > Juergen Schoenwaelder Jacobs University Bremen > > P.O. Box 750 561, 28725 Bremen, > > Germany > > -- > > !! This message is brought to you via the `nmrg' mailing list. > > !! Please do not reply to this message to unsubscribe. To > unsubscribe > or > > adjust > > !! your settings, send a mail message to > > > !! or look at https://mail.ibr.cs.tu-bs.de/mailman/listinfo/nmrg. > > -- > !! This message is brought to you via the `nmrg' mailing list. > !! Please do not reply to this message to unsubscribe. To > unsubscribe or adjust > !! your settings, send a mail message to > > !! or look at https://mail.ibr.cs.tu-bs.de/mailman/listinfo/nmrg. > Received: from [134.169.34.51] (arlet.ibr.cs.tu-bs.de [134.169.34.51]) by bierator.ibr.cs.tu-bs.de (8.13.4/8.13.4/Debian-3sarge3) with ESMTP id l2QBaCe6003380 (version=TLSv1/SSLv3 cipher=DHE-RSA-AES256-SHA bits=256 verify=NOT) for ; Mon, 26 Mar 2007 13:36:12 +0200 Message-ID: <4607B014.6090403@ibr.cs.tu-bs.de> Date: Mon, 26 Mar 2007 13:35:48 +0200 From: =?ISO-8859-1?Q?Frank_Strau=DF?= Organization: IBR, TU Braunschweig User-Agent: Thunderbird 1.5.0.10 (Macintosh/20070221) MIME-Version: 1.0 To: nmrg@ibr.cs.tu-bs.de Subject: Re: [nmrg] draft prague meeting minutes References: <20070325203342.GB7322@elstar.local> <4607A633.2000507@ibr.cs.tu-bs.de> <20070326111803.GA8149@elstar.local> In-Reply-To: <20070326111803.GA8149@elstar.local> Content-Type: text/plain; charset=ISO-8859-1; format=flowed Content-Transfer-Encoding: 7bit X-Mailman-Approved-At: Tue, 27 Mar 2007 08:20:06 +0200 X-BeenThere: nmrg@ibr.cs.tu-bs.de X-Mailman-Version: 2.1.5 Precedence: list List-Id: Network Management Research Group List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Mon, 26 Mar 2007 11:36:12 -0000 Juergen Schoenwaelder wrote: > On Mon, Mar 26, 2007 at 12:53:39PM +0200, Frank Strau? wrote: >> Juergen Schoenwaelder wrote in the posted Prague Minutes: >> >>> 3. Last call review draft-irtf-nmrg-snmp-measure-01.txt (JS) >>> >>> This document was last called and 15 reviews were submitted. Bert >>> Wijnen acts as the shepherd for this document. JS went through all >>> reviews, discussing those issues he felt worth bringing up (i.e., >>> the edits may not be fully understood); see the issues list in the >>> proceedings. Below are the actions agreed on during the meeting: >>> - JS to contact Frank - he wants to see a figure but it is unclear >>> what the figure should show >> Sorry for being unclear. The figure I had in mind, would show the >> general archicture, containing >> >> - the entities that process the five steps shown in Section 2, >> along with their potential locations, >> >> - the kind of data transfered between these entities (raw, converted, >> filtered, anonymized). >> >> The figure should make clear, who controls which entities, so that the >> reader could easily see that no raw or unfiltered data leaves his >> domain, if this is required by his policies. > > The problem is that there is not just one solution. Some operators > give away pcap files, others XML or CSV files, some with filtering > some with anonymization, and yet others don't give any files away but > are willing to run scripts on behalf of researchers. So this figure > simply can't be drawn. I see. So, could you please spend a short paragraph on this diversity, quite like the one above? Maybe, I could have read the draft more carefully, but the way I read it, such a paragraph would have helped me. >>> - The main reason to use names for protocol operations is that they >>> are frequently read by humans for debugging and analysis while >>> the error-status value is usually of secondary importance (as is >>> the version number). >>> >>> [Ed: the more I think about it, it may actually be useful to use >>> strings rather than numbers] >> I like your later thoughts. :-) > > Well, no, later on I changed my mind again. There are two fields that > can be rendered - the version number and the error status. For the > version number, rendering might make sense (or not - depends on your > taste). For the error-status, the situation is a bit more complex > since GetBulk uses this field to convey the max-repetitions; so > rendering would have to take into account the PDU type (and since the > field is actually not used for requests other than GetBulk, rendering > probably only makes sense for responses) and I am not really sure this > leads to simplification, especially for scripts that have to process > this data. So, what about "the main reason to use names for protocol operations is that they are frequently read by humans for debugging and analysis ..." Why do you think the error-status is of minor importance? *If* errors occur, it could be interesting to get statistics or debugging info on their causes and the argument for human readability is true as well, in my opinion. Received: from hermes.iu-bremen.de (hermes.iu-bremen.de [212.201.44.23]) by bierator.ibr.cs.tu-bs.de (8.13.4/8.13.4/Debian-3sarge3) with ESMTP id l2QBI8n5001429; Mon, 26 Mar 2007 13:18:13 +0200 Received: from localhost (demetrius.iu-bremen.de [212.201.44.32]) by hermes.iu-bremen.de (Postfix) with ESMTP id B3BC56DC2D; Mon, 26 Mar 2007 13:18:08 +0200 (CEST) Received: from hermes.iu-bremen.de ([212.201.44.23]) by localhost (demetrius.iu-bremen.de [212.201.44.32]) (amavisd-new, port 10024) with ESMTP id 30666-07; Mon, 26 Mar 2007 13:18:05 +0200 (CEST) Received: from elstar.local (elstar.iuhb02.iu-bremen.de [10.50.231.133]) by hermes.iu-bremen.de (Postfix) with ESMTP id 0DE5A6DBF3; Mon, 26 Mar 2007 13:18:05 +0200 (CEST) Received: by elstar.local (Postfix, from userid 501) id 747911F4E6C; Mon, 26 Mar 2007 13:18:03 +0200 (CEST) Date: Mon, 26 Mar 2007 13:18:03 +0200 From: Juergen Schoenwaelder To: Frank Strau? Subject: Re: [nmrg] draft prague meeting minutes Message-ID: <20070326111803.GA8149@elstar.local> Mail-Followup-To: Frank Strau? , nmrg@ibr.cs.tu-bs.de References: <20070325203342.GB7322@elstar.local> <4607A633.2000507@ibr.cs.tu-bs.de> MIME-Version: 1.0 Content-Type: text/plain; charset=us-ascii Content-Disposition: inline In-Reply-To: <4607A633.2000507@ibr.cs.tu-bs.de> User-Agent: Mutt/1.5.14 (2007-02-12) X-Virus-Scanned: amavisd-new 2.3.3 (20050822) at iu-bremen.de X-IBRFilter-SpamReport: 0.001 () BAYES_50 X-Scanned-By: MIMEDefang 2.51 on 134.169.34.9 Cc: nmrg@ibr.cs.tu-bs.de X-BeenThere: nmrg@ibr.cs.tu-bs.de X-Mailman-Version: 2.1.5 Precedence: list Reply-To: j.schoenwaelder@iu-bremen.de List-Id: Network Management Research Group List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Mon, 26 Mar 2007 11:18:15 -0000 On Mon, Mar 26, 2007 at 12:53:39PM +0200, Frank Strau? wrote: > Juergen Schoenwaelder wrote in the posted Prague Minutes: > > >3. Last call review draft-irtf-nmrg-snmp-measure-01.txt (JS) > > > > This document was last called and 15 reviews were submitted. Bert > > Wijnen acts as the shepherd for this document. JS went through all > > reviews, discussing those issues he felt worth bringing up (i.e., > > the edits may not be fully understood); see the issues list in the > > proceedings. Below are the actions agreed on during the meeting: > > > - JS to contact Frank - he wants to see a figure but it is unclear > > what the figure should show > > Sorry for being unclear. The figure I had in mind, would show the > general archicture, containing > > - the entities that process the five steps shown in Section 2, > along with their potential locations, > > - the kind of data transfered between these entities (raw, converted, > filtered, anonymized). > > The figure should make clear, who controls which entities, so that the > reader could easily see that no raw or unfiltered data leaves his > domain, if this is required by his policies. The problem is that there is not just one solution. Some operators give away pcap files, others XML or CSV files, some with filtering some with anonymization, and yet others don't give any files away but are willing to run scripts on behalf of researchers. So this figure simply can't be drawn. > > - The main reason to use names for protocol operations is that they > > are frequently read by humans for debugging and analysis while > > the error-status value is usually of secondary importance (as is > > the version number). > > > > [Ed: the more I think about it, it may actually be useful to use > > strings rather than numbers] > > I like your later thoughts. :-) Well, no, later on I changed my mind again. There are two fields that can be rendered - the version number and the error status. For the version number, rendering might make sense (or not - depends on your taste). For the error-status, the situation is a bit more complex since GetBulk uses this field to convey the max-repetitions; so rendering would have to take into account the PDU type (and since the field is actually not used for requests other than GetBulk, rendering probably only makes sense for responses) and I am not really sure this leads to simplification, especially for scripts that have to process this data. > > - Clarify that the IPv6 address type is just there to capture src > > and dst addresses (do we have to add MAC addresses?) > > Have there been any arguments for or against MAC addresses? At this > point, I think they are not needed, and what's really not needed should > not show up in the traces. MAC addresses would only be needed for SNMP over IEEE 802 (but then we have not seen such packets in our traces; but the same holds for IPv6 packets). /js -- Juergen Schoenwaelder Jacobs University Bremen P.O. Box 750 561, 28725 Bremen, Germany Received: from [134.169.34.51] (arlet.ibr.cs.tu-bs.de [134.169.34.51]) by bierator.ibr.cs.tu-bs.de (8.13.4/8.13.4/Debian-3sarge3) with ESMTP id l2QAs2jO031496 (version=TLSv1/SSLv3 cipher=DHE-RSA-AES256-SHA bits=256 verify=NOT); Mon, 26 Mar 2007 12:54:02 +0200 Message-ID: <4607A633.2000507@ibr.cs.tu-bs.de> Date: Mon, 26 Mar 2007 12:53:39 +0200 From: =?ISO-8859-1?Q?Frank_Strau=DF?= Organization: IBR, TU Braunschweig User-Agent: Thunderbird 1.5.0.10 (Macintosh/20070221) MIME-Version: 1.0 To: nmrg@ibr.cs.tu-bs.de, Juergen Schoenwaelder Subject: Re: [nmrg] draft prague meeting minutes References: <20070325203342.GB7322@elstar.local> In-Reply-To: <20070325203342.GB7322@elstar.local> Content-Type: text/plain; charset=ISO-8859-1; format=flowed Content-Transfer-Encoding: 7bit X-Mailman-Approved-At: Tue, 27 Mar 2007 08:20:06 +0200 X-BeenThere: nmrg@ibr.cs.tu-bs.de X-Mailman-Version: 2.1.5 Precedence: list List-Id: Network Management Research Group List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Mon, 26 Mar 2007 10:54:02 -0000 Juergen Schoenwaelder wrote in the posted Prague Minutes: > 3. Last call review draft-irtf-nmrg-snmp-measure-01.txt (JS) > > This document was last called and 15 reviews were submitted. Bert > Wijnen acts as the shepherd for this document. JS went through all > reviews, discussing those issues he felt worth bringing up (i.e., > the edits may not be fully understood); see the issues list in the > proceedings. Below are the actions agreed on during the meeting: > - JS to contact Frank - he wants to see a figure but it is unclear > what the figure should show Sorry for being unclear. The figure I had in mind, would show the general archicture, containing - the entities that process the five steps shown in Section 2, along with their potential locations, - the kind of data transfered between these entities (raw, converted, filtered, anonymized). The figure should make clear, who controls which entities, so that the reader could easily see that no raw or unfiltered data leaves his domain, if this is required by his policies. I know that the compexity that can be placed in IETF documents' figures is very limited. Hence, please regard this just as a proposal. I feel no strong need about it. > - The main reason to use names for protocol operations is that they > are frequently read by humans for debugging and analysis while > the error-status value is usually of secondary importance (as is > the version number). > > [Ed: the more I think about it, it may actually be useful to use > strings rather than numbers] I like your later thoughts. :-) > - Clarify that the IPv6 address type is just there to capture src > and dst addresses (do we have to add MAC addresses?) Have there been any arguments for or against MAC addresses? At this point, I think they are not needed, and what's really not needed should not show up in the traces. Received: from hermes.iu-bremen.de (hermes.iu-bremen.de [212.201.44.23]) by bierator.ibr.cs.tu-bs.de (8.13.4/8.13.4/Debian-3sarge3) with ESMTP id l2PKXmND001910 for ; Sun, 25 Mar 2007 22:33:53 +0200 Received: from localhost (demetrius.iu-bremen.de [212.201.44.32]) by hermes.iu-bremen.de (Postfix) with ESMTP id B329C6DA29 for ; Sun, 25 Mar 2007 22:33:48 +0200 (CEST) Received: from hermes.iu-bremen.de ([212.201.44.23]) by localhost (demetrius.iu-bremen.de [212.201.44.32]) (amavisd-new, port 10024) with ESMTP id 08735-07; Sun, 25 Mar 2007 22:33:44 +0200 (CEST) Received: from elstar.local (elstar.iuhb02.iu-bremen.de [10.50.231.133]) by hermes.iu-bremen.de (Postfix) with ESMTP id 7D1D06D9FF; Sun, 25 Mar 2007 22:33:44 +0200 (CEST) Received: by elstar.local (Postfix, from userid 501) id 046241F3385; Sun, 25 Mar 2007 22:33:42 +0200 (CEST) Date: Sun, 25 Mar 2007 22:33:42 +0200 From: Juergen Schoenwaelder To: nmrg@ibr.cs.tu-bs.de Message-ID: <20070325203342.GB7322@elstar.local> Mail-Followup-To: nmrg@ibr.cs.tu-bs.de MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="yrj/dFKFPuw6o+aM" Content-Disposition: inline User-Agent: Mutt/1.5.14 (2007-02-12) X-Virus-Scanned: amavisd-new 2.3.3 (20050822) at iu-bremen.de X-IBRFilter-SpamReport: 0.001 () BAYES_50 X-Scanned-By: MIMEDefang 2.51 on 134.169.34.9 Subject: [nmrg] draft prague meeting minutes X-BeenThere: nmrg@ibr.cs.tu-bs.de X-Mailman-Version: 2.1.5 Precedence: list Reply-To: j.schoenwaelder@iu-bremen.de List-Id: Network Management Research Group List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Sun, 25 Mar 2007 20:33:57 -0000 --yrj/dFKFPuw6o+aM Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi, attached please find the draft minutes from our meeting in Prague. Please let me know by the end of the week if there is something that needs to be changed. /js -- Juergen Schoenwaelder Jacobs University Bremen P.O. Box 750 561, 28725 Bremen, Germany --yrj/dFKFPuw6o+aM Content-Type: text/plain; charset=us-ascii Content-Disposition: attachment; filename="nmrg.txt" Minutes of the 22nd NMRG meeting IETF 68, Prague, Czech Republic 23 March 2007 Minutes: Vladislav Marinov, Juergen Schoenwaelder Participants: The meeting was attended by about 40 people. The names were recorded on the rooster which went to the IETF secretariat. Agenda: 09:00 Agenda bashing and administrivia Juergen Schoenwaelder (Chair) 09:10 Report from the NMRG workshop in Utrecht Aiko Pras 09:30 Last call review draft-irtf-nmrg-snmp-measure-01.txt Juergen Schoenwaelder 10:00 SNMP Traffic Analysis Update Juergen Schoenwaelder 10:30 Distributed monitoring algorithms Alberto Gonzalez Prieto 11:00 Discussion Everybody 11:20 Wrapup Juergen Schoenwaelder (Chair) Abbreviations: JS: Juergen Schoenwaelder AP: Aiko Pras BW: Bert Wijnen DP: David Perkins RB: Randy Bush LD: Luca Deri DH: David Harrington SL: Simon Leinen DR: Dan Romascanu AG: Alberto Gonzalez Prieto AB: Andy Bierman PD: Petre Dini 1. Introduction to NMRG (JS) The agenda was updated since the NETCONF RBAC people from France could not make it to Prague meeting. The relevant I-D is draft-cridlig-netconf-rbac-00.txt. 2. EMANICS / NMRG Workshop Report (AP) AP reviewed the EMANICS/NMRG workshop in October 2006 on future research directions. See his slides for details. About 25% of the attendees were at the IAB plenary the night before the NMRG meeting; so AP decided to go over all slides (and not just the ones not presented at the plenary). C: Your bullet that "Network management is risk management" was very interesting. There is always risk in uncertainty, we are not sure what happens in the network. Q: About the economic slides - is there work in the area? A: Yes, one of the EMANICS work packages is economic management; but work is still focusing on SLAs and legal issues. I want to see answers of this question myself in the future. 3. Last call review draft-irtf-nmrg-snmp-measure-01.txt (JS) This document was last called and 15 reviews were submitted. Bert Wijnen acts as the shepherd for this document. JS went through all reviews, discussing those issues he felt worth bringing up (i.e., the edits may not be fully understood); see the issues list in the proceedings. Below are the actions agreed on during the meeting: - Change "inform" to "inform-request" but leave "trap2" - JS to contact Frank - he wants to see a figure but it is unclear what the figure should show - Change the requirement to keep trace sources to a should keep rather then a must keep. Explain why it is good to keep the original data sets but also explain issues arising from this material being sensitive - The anonymization section should provide sufficient pointers for people interested in anonymization but it is not the goal of the document to provide an extensive discussion of this topic; the document is intended to make the operator communities aware that we want trace data; making the document too long will make it harder to use it for its intended purpose. Decided to add a summary what the state of the art in the area is - The main reason to use names for protocol operations is that they are frequently read by humans for debugging and analysis while the error-status value is usually of secondary importance (as is the version number). [Ed: the more I think about it, it may actually be useful to use strings rather than numbers] - Add a statement how the relaxng compact notation schema can be converted into other XML schema languages - Add a section with warnings about generalizing conclusions from biased data sets; conclusions derived from a biased small data set might not be universally true - Change the base type mapping so as to not loose information (that is report Counter32 and friends (including Opaque) correctly; do not use the SMIng base type model). - Clarify that the IPv6 address type is just there to capture src and dst addresses (do we have to add MAC addresses?) - State that it was a design decision to keep conversion tools MIB agnostic. Hence, fancy OID formats can't be done. (JS explained that he wrote a separate tool called smixlate to handle this.) - Document that packets containing mal-formed SNMP messages or messages which are neither SNMPv1/SNMPv2c/SNMPv3 can be dropped and that implementations should report the number of such dropped messages - Add examples for CSV and XML formatted packets - Add rough numbers about trace sizes, e.g., a flow polling N interfaces (inOctets, outOctets) every 5 minutes causes traces of size xxx pcap, yyy csv, zzz xml. It would be nice to extract such a flow to get the numbers... - Keep XML format since it retains all information; the CSV format only retains a subset of the information. - Rewrite section 2.5 so that it stresses the point that some trace providers may prefer to not give away trace data but are willing to execute analysis scripts if they can be checked that they do not harm; this requires to use high-level languages typically understood by operators (e.g. Perl - make clear Perl is just an example). - Keep section 3 as it was generally considered to be useful, especially for explaining how traces may be used and to give an idea which questions will be answered with this research - Explain that pcap is a bad format since it requires complex analysis code (IP reassembly, BER decoding) and thus makes it difficult to verify an analysis script does not do harm 3. Trace Analysis Update (JS) JS presented an update of the trace analysis work done at Jacobs University and the University of Twente. See the slides for the details of the presentation. Below are some questions that came up during the presentation. Q: You did observe SNMPv3 messages? A: Yes, but very sporadic; might have been an attempt to test if an agent supports SNMPv3 Q: Were there responses to the SNMPv3 messages? A: I do not recall precisely, but I assume so Q: There were only very few informs in traces that use SNMPv2c A: Yes, it seems that GetBulk is a stronger incentive to switch to SNMPv2c in the traces we have collected so far. Q: Can we extrapolate in larger aspect? A: No, the data set is way too small for generalizations Q: Which applications were used? A: We didn't ask for this information, don't even know if we can expect operators to know Q: Operators should provide us with information what happened on the network during the trace collection period. It will be useful to capture what applications were used A: We want to identify communication patterns, without knowing which applications generated them. Note that we already try to track meta data but we do not necessarily expect it to be complete Q: Is the flow definition consistent with the IPFIX definition? A: No because they use port numbers, but many management scripts kick short lived snmp retrieval processes and thus dynamic port numbers are assigned for the manager processes C: There was also one long trace, huge in size. It turned out to be someone walking into a timefilter table and never getting out, staying there for days. Q: At some point it was mentioned that there are some dumb applications that simply retrieve read-only data A: Probably applications should look at the semantics of the data and then caching is not that hard; of course, a generic MIB browser or data poller will not do this C: Applications do not support caching anyway C: Probably caching is not worth the cost of optimization because sometimes routers get rebooted and reconfigured and it is not worth the risk, i.e., configuration might be changed suddenly so the cost of optimizing applications w.r.t. to retrieving read-only data might not be worth because of the risk 4. Distributed Monitoring and Aggregation (KTH) AG presented the work done at KTH on distributed monitoring and aggregation based on a live demo. The slides are recorded in the proceedings. Questions: Q: SL, as an operator, is this useful for your environment? A: Our network is not so big, no need to optimize queries, you can optimize the number of samples in order to improve the mean error objective. Q: I would be interested in short term samples, your algorithm is adaptive, the network is running stable, you adapt so that network is queried every second hour. What about short time changes? What will happen if there is a failure after several minutes? A: We are not polling. The protocol follows the changes, when difference from the previous value is significant, a message will be sent immediately. Q: What about polling overhead? Routers should do useful work and polling introduces overhead. A: Aggregation is not performed in the router. None of the routers have to process more than 1 message per second. Q: You are using routers for points of observations. Is there any research about what are the better observation points for different applications? A: I am not aware of this. 5. Open Discussion Q: [AB] Discussion during the IETF ops-area meetings concentrated on NETCONF, XSD, data model contexts, concerns about document control, life cycle management. Is that something the IRTF can help with or IETF should do that. Is XSD good enough so we can move on? C: [DP] Work needs to be done. It is a serious issue when people need to do work on modeling and have no language. Work on finding a good language needs to be done quickly. Otherwise, every company will have its own way of doing things in different languages. Q: [AP] Do you want standard or research? A: [DP] IETF => standard Q: XML schema is a optimal language. What is the problem? A: [DP] Why it is not sufficient will be explained in standardization. C: Cannot wait for research activities. Think it is IETF activity. C: [DR] Focus should be what NMRG should do, what specific questions on research we should focus on, what data modeling techniques and languages are available. Suggest about research discussion on NETCONF data modeling. NMRG should prepare a state of art about what happens in research. C: [JS] SMING lesson is that being protocol independent gets difficult, perhaps people can write what the pitfalls are. Agreeing on syntax is part of engineering not research. C: Get more and more data from companies, research how much meta-data is used and how much it is read by humans, how much they read descriptive data. C: Perhaps we can produce a lessons learned document from the SMING experiment before Chicago C: [PD] I think a good topic for research should be manageability and in particular self-manageability, self, self... I didn't see guidelines how to build autonomic systems and components, how to build and manage them. This will be good topic for research. Suggest to form sub-group and come up with draft document. Some work in the IETF will be implemented as system entities which sooner or later support self manageability. Some documents in IETF have management related aspects. I would be interested in small subsection where entities have SELF inside? C: [JS] Do you mean interaction between control loops? C: Self-management networks are interesting as there you say how you can predict unexpected things. C: Still use aggregation, traffic aggregation, what properties were aggregated, combined. When you have 2 entities that interact some of their features disappear. C: Behavior can be harmful for the network C: [JS] Document what should be considered when autonomic work is done, such as control loop interactions C: Where is the authoritative control coming from: box or centralized entity? C: Acceptance of autonomic management correlates with policy based network approach acceptance. Should we research policy based network? --yrj/dFKFPuw6o+aM-- Received: from ug-out-1314.google.com (ug-out-1314.google.com [66.249.92.171]) by bierator.ibr.cs.tu-bs.de (8.13.4/8.13.4/Debian-3sarge3) with ESMTP id l2LBqHai023437 for ; Wed, 21 Mar 2007 12:52:22 +0100 Received: by ug-out-1314.google.com with SMTP id 78so293710ugn for ; Wed, 21 Mar 2007 04:52:17 -0700 (PDT) DKIM-Signature: a=rsa-sha1; c=relaxed/relaxed; d=gmail.com; s=beta; h=domainkey-signature:received:received:message-id:date:from:user-agent:mime-version:to:subject:content-type:sender; b=bnnKgTwm2xDsT6j/q7qasRsFpOKXPDAlqMq1DL1vTneCP8DzDPW245I2zz6D+fHauNDRTuz+/y2VhbzuXfio82tocGgfWuD+vr8l8o1iGugoKCm+0PSJib+5pjRdeJzBv9NM84gfgH/Pt272IALWAP65YQ+2H3yahNfkITvFHgA= DomainKey-Signature: a=rsa-sha1; c=nofws; d=gmail.com; s=beta; h=received:message-id:date:from:user-agent:mime-version:to:subject:content-type:sender; b=of/zJJwJ4kNUhYP9PsQMQraOrgFea62vLu9KJ6la/GJfXhWTitzZpfr1MpEgipknvqEcZ+qwGQDyjDR8cQFIp/57NNW33+ZhK78nQJF4wfQOCJhE2Ma3f5SnrUMviFZ0E+IILilrDrVAKbiyxpbupzoN74aTwkyiijmsYkfOUhU= Received: by 10.67.98.9 with SMTP id a9mr3007993ugm.1174477937264; Wed, 21 Mar 2007 04:52:17 -0700 (PDT) Received: from ?137.208.224.46? ( [137.208.224.46]) by mx.google.com with ESMTP id 54sm511133ugp.2007.03.21.04.52.04; Wed, 21 Mar 2007 04:52:08 -0700 (PDT) Message-ID: <46011C50.80608@wu-wien.ac.at> Date: Wed, 21 Mar 2007 12:51:44 +0100 From: Michael Alexander User-Agent: Thunderbird 2.0b2 (Windows/20070116) MIME-Version: 1.0 To: ops-area@ietf.org, nmrg@ibr.cs.tu-bs.de Content-Type: multipart/mixed; boundary="------------080409060000040601070802" Sender: Michael Alexander X-Scanned-By: MIMEDefang 2.51 on 134.169.34.9 X-Mailman-Approved-At: Sun, 25 Mar 2007 19:14:56 +0200 Subject: [nmrg] Wed Mini/BOF Material 1/2 'Network Element/Facilities/Lines/Protocols/Services Data Modeling' X-BeenThere: nmrg@ibr.cs.tu-bs.de X-Mailman-Version: 2.1.5 Precedence: list List-Id: Network Management Research Group List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Wed, 21 Mar 2007 11:52:25 -0000 This is a multi-part message in MIME format. --------------080409060000040601070802 Content-Type: text/plain; charset=ISO-8859-1; format=flowed Content-Transfer-Encoding: 7bit Please find a strawman on draft-01 and an updated presentation for the Mini-BOF 'Network Element/Facilities/Lines/Protocols/Services Data Modeling' attached and at: http://frankfurt.wu-wien.ac.at/ietf68/dm_ietf68_5.ppt http://frankfurt.wu-wien.ac.at/ietf68/draft-alexan-datamod-01.txt Best Regards, Dr. Michael Alexander WU Wien Dept. of Information Systems malexand@wu-wien.ac.at / +43.1.31336.4467 GSM +43.699.1228.3586 --------------080409060000040601070802 Content-Type: text/plain; name="draft-alexan-datamod-01.txt" Content-Transfer-Encoding: 7bit Content-Disposition: inline; filename="draft-alexan-datamod-01.txt" Network Working Group M. Alexander Internet-Draft WU-Wien Intended status: Standards Track March 21, 2007 Expires: September 22, 2007 NE/Facilities/Lines/Protocols/Services Modeling draft-alexan-datamod-01.txt Status of this Memo By submitting this Internet-Draft, each author represents that any applicable patent or other IPR claims of which he or she is aware have been or will be disclosed, and any of which he or she becomes aware will be disclosed, in accordance with Section 6 of BCP 79. Internet-Drafts are working documents of the Internet Engineering Task Force (IETF), its areas, and its working groups. Note that other groups may also distribute working documents as Internet- Drafts. Internet-Drafts are draft documents valid for a maximum of six months and may be updated, replaced, or obsoleted by other documents at any time. It is inappropriate to use Internet-Drafts as reference material or to cite them other than as "work in progress." The list of current Internet-Drafts can be accessed at http://www.ietf.org/ietf/1id-abstracts.txt. The list of Internet-Draft Shadow Directories can be accessed at http://www.ietf.org/shadow.html. This Internet-Draft will expire on September 22, 2007. Copyright Notice Copyright (C) The IETF Trust (2007). Alexander Expires September 22, 2007 [Page 1] Internet-Draft Data Modeling March 2007 Abstract This draft presents a framework document for modeling network elements (NE), facilities, lines, protocols and services for substantially easing development and operation of element manager systems (EMS), network management systems (NMS) and operations support systems (OSS). The framework is independent of the access method used, including SNMP, CLI, Netconf, Corba, CMIP, XML-RPC, etc.) It covers configuration, alarms, current-historical performance, accounting management and security. The frameworks builds on and reuses the existing base of MIBs. The documents presents a light-weight, structured and very simplified framework and process to data modeling for defining and maintaining meta models, device etc. models, and device etc. descriptors. Table of Contents 1. Requirements notation . . . . . . . . . . . . . . . . . . . . 3 2. Problem Statement . . . . . . . . . . . . . . . . . . . . . . 4 3. Use Cases . . . . . . . . . . . . . . . . . . . . . . . . . . 6 4. Backward Compatibility . . . . . . . . . . . . . . . . . . . . 9 5. Independence from Access Methods . . . . . . . . . . . . . . . 10 6. Core Scope . . . . . . . . . . . . . . . . . . . . . . . . . . 11 7. Secondary Scope . . . . . . . . . . . . . . . . . . . . . . . 13 8. Items NOT in Scope . . . . . . . . . . . . . . . . . . . . . . 14 9. Dependencies-Requirements on Others . . . . . . . . . . . . . 15 10. Process-Cycle Time . . . . . . . . . . . . . . . . . . . . . . 16 11. Open Issues . . . . . . . . . . . . . . . . . . . . . . . . . 17 12. Security Considerations . . . . . . . . . . . . . . . . . . . 18 13. Normative References . . . . . . . . . . . . . . . . . . . . . 19 Author's Address . . . . . . . . . . . . . . . . . . . . . . . . . 20 Intellectual Property and Copyright Statements . . . . . . . . . . 21 Alexander Expires September 22, 2007 [Page 2] Internet-Draft Data Modeling March 2007 1. Requirements notation The key words "MUST", "MUST NOT", "REQUIRED", "SHALL", "SHALL NOT", "SHOULD", "SHOULD NOT", "RECOMMENDED", "MAY", and "OPTIONAL" in this document are to be interpreted as described in [RFC2119]. Alexander Expires September 22, 2007 [Page 3] Internet-Draft Data Modeling March 2007 2. Problem Statement Network Management (NM) standards have traditionally been focused on protocols, such as pertaining to configuration management and discovery. Yet, all areas of Network Management, ranging from Element Management (EM) to Network Management Systems (NMS) and Service Management Systems have in common that they critically rely on underlying data structures describing devices and services being managed. Network elements (NE) frequently spawn ten thousands of managed objects, such as for a multiservice switch. In a common fallacy, programmatic access methods towards an NE such as operations on attributes via SNMP, CLI or XML-Netconf etc. are frequently taken as equating to 'network management'. Yet, in order for a Craft Terminal/EMS/NMS/Service Management System to provide sensible services to either a GUI operator or a mechanized interface, the device data of an NE has to be in a structured model. Managed objects alone - but in rare cases - do not allow to provision a subscriber, retrieve an alarm, examine a performance metric etc. From e.g. an NMS viewpoint, they tend to be 'flat' data structures which need to be put into a defined structure the NMS can understand so to perform any logical flow of actions on them. That is, a "flat" device attribute list does not enable an operator or mechanized interface to manage an NE. Unfortunately, there is little commonality in data data models, respectively managed objects exposed by NEs to their northbound interfaces. Even worse, the plethora of NMS/Service Managers each have their own models, leading to the present-day situation in which a large set of management systems with different models map to a large set of NEs with - differing models, both of which ever changing. The following comparison highlights the problem from an implementation-effort perspective: It takes an experienced NM person about a year to understand a medium-complexity carrier device's data model in its entirety. This familiarity is necessary to build EMSs/ NMSs/Service Management Systems with human-operable GUIs, or machine- to-machine interfaces for high-level operations (enable a service/ disable a service etc.). To adapt a given NMS's model for only one NM constituent, such as configuration management, the effort to initially map and then maintain the NE's to the NMS's data model is vast. For example, only to cover configuration management of a single service of a multi-service switch man-years of effort may be necessary to match the two models. Yet in contrast, the effort to effect an attribute value change with SNMP, CLI or XML- Netconf etc. even with little prior knowledge of a device's functionality, model and behavior is comparatively minuscule. Setting a given NE attribute via a prompted CLI may take Alexander Expires September 22, 2007 [Page 4] Internet-Draft Data Modeling March 2007 an NM-person with only rudimentary knowledge of a given device minutes; SNMP, depending on the design of the MIB takes longer, similarly for XML or CORBA etc. Comparing the discrepancy in the distribution of efforts again: the implementation of one leg of NM tends to be measured in man-years, the second leg of device access may range from man-hours to man-weeks. Logically, one might suppose that standards development would match this distribution. Traditionally, standardization of access-methods (protocols), discovery, etc. have received most attention, while the more heterogeneous data models and data modeling per saw comparatively less. As there are real possibilities to standardize underlying and universal commonalities in EMS/NMS/Service Management Systems on the one side and managed attributes of NEs, protocols, transmission facilities, lines and services on the other, the two distributions should be closer aligned. Despite the complexity, it is possible to identify and define frameworks and meta models of each constituent and their relation to each other, that would substantially ease the management of present and future devices, networks and services. The problem was recognized early, but it took time until technologies such as markup languages, with their key property of being human readable, reached the mainstream and ubiquity: "Although some positive sentiment was expressed for defining a kind of "super SMI" metalanguage to aid in the definition of a general API, it was not clear whether the current crop of supporting protocols had sufficient semantic commonality to be used in this way. The matter remains open for investigation." [Vince Cerf, RFC 1109] Alexander Expires September 22, 2007 [Page 5] Internet-Draft Data Modeling March 2007 3. Use Cases The framework addresses the following use cases: o Design and Implementation of EMSs o Design and Implementation of NMSs o Design and Implementation of OSSs o Design and Implementation of Northbound and Southbound Interfaces EMSs and NMSs are composed of the following main components: access to NEs, data model and database (a special case being '"MIB-less" managers with limited modeling and no database), NE-logic to augment NE methods or define new ones using entities from the NE's exposed management functionality, application logic, presentation logic, besides security and system functions at al. Over the mission-life of an EMS/NMS/OSS/SMS, the component that consomes a majority of design and development resources is the data models and their implementation. This applies to single - NE/Service managers as well as multi NE-type or service managers where the efforts to initially define and stay current with the respective NE/ service versions increases non-linearly. In many cases point-of- diminishing returns are reached in multi-NE EMSs due to at large NE model differences. They result in more and more device- specific adaptations and shortcuts to the EMS's own meta model or in the managers application logic leading to eventually highly comples and time-consuming coverage of additional devices and releases. EMS/NMS are the more usable the more depth the NEs models have. In a polar extreme, the EMS with a GUI only offers and operator a flat representation of an NE data structure, requiring a fair amount of device/device model/device behavior knowledge on part of the the human operator. If, however, the device model is detailed, an EMS can e.g. give the human operator a detailed Covering a new NE with e.g. 2000 managed objects based on an "average" MIB model in an existing EMS with pre-existing relatedd coverage takes -- depending on the granularity scope -- on the lower- end several manyears. People doing the device integration have to build a well-structured, multi-level model of the device in order for the EMS to be easy to use for the human operator. If the device MIB does not adequately convey the NE behavior, the facility hierarchy and interrelation of objects and their attributes, the effort can be substantially higher. The modeler(s) adding Alexander Expires September 22, 2007 [Page 6] Internet-Draft Data Modeling March 2007 support for a particular device to an EMS may have to (re) model the equipment's hierarchy and discover its behavior through (lengthy) series of experiments. If, in contrast, if there is data model than conveys managed objects in a normative way and there is a normative namespace/meta model, then the task becomes substantially easier. If, in addition, the device model specifies rules and equipment behavior in at least a semi-normative way, then high-depth support for the particular device in a fraction of the time than having to go from plain MIBs. Similarly, if the task were to build a prompted CLI for the device, the main effort would be create a definition file that specifies the CLI hierarchy levels and which operations would be permissible at a given level -- a formidable task for a large MIB. In contrast, if there is a namespace/meta model in conjunction with a device data model that is based on a device class model, then the prompted CLI (but of the application logic) could to a large extend be derived or generated from the models. The same goes for building NMSs, which allow for drilling down into lines and devices. Yet, NMSs in addition require alarm templates. Creating alarm templates involves in depth knowledge of the equipment's behavior, if it has not been properly abstracted. Creating alarm templates for root-cause analysis involving multiple devices without pre-existing models is highly time and resource intensive, possibly involving multiple testing cycles. The proposed approach for simplifying alarm modeling is: an alarm meta model as part of the namespace/meta model and an alarm template class model as part of the device/service/protocol class model. Not a use case like the prior ones per se is the necessity to uniquely locate equipment, facilities, lines and their termination points in a network. If a large number of network elements are involved, then they should be put into inventory using a schema which incorporates at least a unique serial, a unique product ID bound to the vendor partnumber, vendor partnumber, the container equipment (for e.g. cards), the organization's location classification (such as country/city/location/room), a unique serial and dating. There needs to be a meta model for inventory codes and schemata for the individual types of inventory. The binding between the equipment type categories and the unique serial could be done based on a normative registry, similar to the binding between domains and IP address in DNS. Implementing EMSs/NMSs/CLIs and OSS interfaces are different use cases from the creation of device models. Provided a namespace/and class-type meta models for the device exist, individual vendors can Alexander Expires September 22, 2007 [Page 7] Internet-Draft Data Modeling March 2007 model their own devices or charter 3rd parties to do so, thereby allowing a wide range of NMS/OSS software to recognize and manage their devices. They could be cataloged and put into a repository, and be bound against the various (vendor dependent) unique serials from the last paragraph. Alexander Expires September 22, 2007 [Page 8] Internet-Draft Data Modeling March 2007 4. Backward Compatibility MIBs are the most common data structure for internal device data representation. MIBs are also the most common non-proprietary EMS/ NMS/OSS data representations. The investment in them is vast, hence it should be preserved. Therefore, backward compatibility with MIBs SHALL be preserved. Existing MIBs need to be covertable ("import") into the new set of DM models. This can be done in two ways: (a) the could be converted into an applicable regular namespace, or in as free form variant not having the property of a direct line to a common root. Reverse imports of DM Models into MIBs is not feasible. Alexander Expires September 22, 2007 [Page 9] Internet-Draft Data Modeling March 2007 5. Independence from Access Methods Data Models need to be independent of access methods; Talking to a device via SNMP, a CLI, Netconf, CORBA, XML-RPC, Batch Config Transfer, etc. is relatively insignificant in time/resources relative to designing-implementing-maintaining data models. For example, a clean data model of a 5000 managed objects device can be talked to in ANY of the above access methods provides the device has an agent that exposes the objects. The ratio of efforts between adapting an an EMS/NMS/OSS to talk to a particular device access method protocol agent to refining an average MIB data model that use approaches 0 the more complex a devices is. Alexander Expires September 22, 2007 [Page 10] Internet-Draft Data Modeling March 2007 6. Core Scope The core initial focus includes a set of meta models, an initial network type focus, and service focus. Prior to that, a set of initial namespaces is necessary: o Base equipment hierarchy (rack::power::supplies::shelf::slot:: port::facility::protocols ::services o Base network types: IP, SDH SONET, ATM, Ethernet The proposed initial network type focus is: IP-Routing, Ethernet, SDH/SONET and ATM. The proposed initial services to model are: barebones SIP, Ethernet VLANs, DiffServ (as a service in the models). Prerequisite to model network types or services are a set of meta models shown in Figure 1 below: The respective layers are explained in the following. +-----------+------------------------------------------------------+ | Layer VII | Device/Line/Service/Protocol Instance | +-----------+------------------------------------------------------+ | Layer VI | Device/Line/Service/Protocol Model | +-----------+------------------------------------------------------+ | Layer V | Device/Line/Service/Protocol Type Meta Model | | | Derived from class model | | | Captures behavior, rules | +-----------+------------------------------------------------------+ | Layer IV | Device/Line/Service/Protocol Class Meta Model | | | Alarm template class model | +-----------+------------------------------------------------------+ | Layer III | Namespaces/Meta Model | | | Derived from existing CLI (option?),from scratch | | | Constructs etc. | | | Alarm template meta model | +-----------+------------------------------------------------------+ | Layer II | Object Model | | | Prototype methods-operations, data types | +-----------+------------------------------------------------------+ | Layer I | Access Method | | | SNMP, CLI, Netcon, CMIP, CORBA, XML-RPC, SOAP .. | +-----------+-----------------------------------------------------+ Figure 1 Layer I (Access Method) is the protocol used to talk to the NE. As emphasized before, in the existing status-quo given different data Alexander Expires September 22, 2007 [Page 11] Internet-Draft Data Modeling March 2007 models on the device and on the mansger, the effort to code the NE communication with a gicen protocol is relatively low compared to refining the respective manager models to match that of the device. I.e. is the access methods offers sufficient operations to act on a given managed object, the choice of protocol may be a matter of other criteria. Layer II (Object Model) defines the base primitives including operations that can effect managed objects. A superset of data types should also be defined in this layer. Layer III (Namespaces/Meta Model) is (a) concerned with the naming hierarchies (namespaces) for devices/lines/services and protocols. For example, part of the base equipment hierarchy from before (rack:: power::supplies::shelf::slot::port::facility) would form a namespace. The meta model is (b) the prototype model for the higher layer device/line/service/protocol {Class Meta Model, Type Meta Model, Model and Instance}. That is, it integrates the object model and the namespaces and provides a framework model for the higher layers and defines constructs, language they can utilize. In addition, a meta model for alarm templates needs to be defined at this layer. Layer IV (Device/Line/Service/Protocol Class Meta Model) defines meta models for classes of e.g. devices. An example for classes of devices are Routers, Ethernet switches, or ATM switches. In the same layer, alarm template class models (deriving from the alarm template model on Layer III) need to be defined in order to support root-cause alarming with a high degree of accuracy. Layer V (Device/Line/Service/Protocol Class Type Model) extends the Layer IV Class Meta Model. It futher focuses the type of device- line/service/protocol. For example, the class routers might branch into routing switches, pure IP routers, multi-protocol routers, access routers, edge routers, core routers, etc. Furthermore, the layer suits defintions of rules and attributes describing the equipment type's behavior. Layer VI (Device/Line/Service/Protocol Model) extends with information that is particular to a specific device/line/service/ protocol. For devices, this might be a specific product or product range in case of an equipment vendor. For services, it might be a service as deployed by a specific operator. Layer VII (Device/Line/Service/Protocol Instance) is the actual instance of the e.g. device model which could be a data model for a particular vendor's device at a given release level. Alexander Expires September 22, 2007 [Page 12] Internet-Draft Data Modeling March 2007 7. Secondary Scope The secondary scope follows in sequence after the intial scope, largely because of dependencies. It includes: o Unique equipment/line locators o Alarm template registries o Protection, failover modeling (1+1, 1:n, 1:1, etc.) o Device/service/protocol models to be defined in the respective areas/WGs Unique equipment/line locators have been discussed before as a use case. As indicated, a schema which incorporates at least a unique serial, a unique product ID bound to the vendor partnumber, vendor partnumber, the container equipment, the organization's location classification (such as country/city/location/room), a unique serial and dating is necessary. This needs to be in conjunction with a meta model for inventory codes and schemata for the individual types of inventory. The binding between the equipment type categories and the unique serial could be kept in a public database similar to a registry. Along the same lines, (a) registry(ies) could be formed for alarm templates. The secondary scope also includes protection, failover modeling (1+1, 1:n, 1:1, etc.), which involves a revision of all metamodel. At the 2nd stage in the effort, it could also be trialed that individual areas/ working groups define their Device/service/ protocol models independently, based on the underlying meta models. Alexander Expires September 22, 2007 [Page 13] Internet-Draft Data Modeling March 2007 8. Items NOT in Scope The data model SHALL NOT include support for Business Support Systems (BSS) and workflow in general. It is not set to cover all aspects of enterprise and carrier network operations. et ... Alexander Expires September 22, 2007 [Page 14] Internet-Draft Data Modeling March 2007 9. Dependencies-Requirements on Others There are no hard requirements on other efforts. One item, for which there exists a workaround, would be good to have at the earliest point though is a Netconf RPC call in-line with the DM object model (layer II): Netconf 1.0 presently allows for free-form RPC calls. The DM effort and anybody involved in EMS/NMS/OSS modeling would in general greatly benefit if devices were to expose more high-level functions/methods. For example, instead of having to set a large number of attributes in order to provision a customer on a given port, a method provision_customer() exposed by the NE, described in the data model and called by the EMS/NMS/OSS would greatly reduce complexity. Having a formalized method call which is congruent with the object model might induce more vendors to expose simplified methods in their devices. Elegant integration of management information into protocol specifications natural gets much easier for protocol designers if Protocol Class Meta Model is available. Once this is the case, individual working groups outside the OPS area should be able to define their own protocol models. Hence, there is a depency from them on the availability of the meta models. Alexander Expires September 22, 2007 [Page 15] Internet-Draft Data Modeling March 2007 10. Process-Cycle Time The complexity for DM is significantly higher than for many protocols (e.g. not TCP though). A high initial rate of changes in the specifications is expected until steady-state is reached. Still, even in steady-state a comparatively large number of changes per revision is expected to be occuring in the regular update cycle. Branches of the models outside the main modeling effort will need to be allowed. Here, the process might become to fold normative schema extensions into main as much as possible, allowing of private branches and allowing specialization without folding. The target time for the first iteration of the initial scope is one year. The projected cycle times are: o Device/Line/Service/Protocol Instances: on discretion of equipment/nm vendors o Device/Line/Service/Protocol Model: initial: 6 months, steady- state 6 months, synced with protocols o All meta models: initial: 6 months, steady-state 8-9 months o Object model and data types: initial: 6 months, steady-state 3-4 years or longer Alexander Expires September 22, 2007 [Page 16] Internet-Draft Data Modeling March 2007 11. Open Issues Three issues are not addressed in the present draft: Rules language, metamodel language and the issue of state model inclusion and language. While data modeling is frequently using overspecification (which facilitates device modeling), the immediate benefit from the inclusion of a state model and a state model specification language from the onset is not clear. Once at least the primary scope has completed, the addition of state model information would aid the EMS/ NMS/OSS modeler in further codifying the equipment's behavior, facilitating tasks such as decising on the sequence when to issue operations and with timing issues in general. Similarly, rules could be specified in a separate rules language, which could be added at a later point. The issue is different, however, for a metamodel language. Having a full language for it would greatly increase expressivity. Introducing a metamodel language at a different time than from the onset is not a good option though. Alexander Expires September 22, 2007 [Page 17] Internet-Draft Data Modeling March 2007 12. Security Considerations The framework goes beyond assuming both the management stations and the NEs being in secure networks. The Meta models SHALL include both authentication and multi-level authorization which to be defined in separate drafts. The frameworks covers both, manging of NEs providing security functionality, and the authentication and authorization of the NEs per se. Alexander Expires September 22, 2007 [Page 18] Internet-Draft Data Modeling March 2007 13. Normative References [RFC1109] Cerf, V., "Report of the second Ad Hoc Network Management Review Group", RFC 1109, August 1989. [RFC1155] Rose, M. and K. McCloghrie, "Structure and identification of management information for TCP/IP-based internets", STD 16, RFC 1155, May 1990. [RFC1157] Case, J., Fedor, M., Schoffstall, M., and J. Davin, "Simple Network Management Protocol (SNMP)", STD 15, RFC 1157, May 1990. [RFC1212] Rose, M. and K. McCloghrie, "Concise MIB definitions", STD 16, RFC 1212, March 1991. [RFC2119] Bradner, S., "Key words for use in RFCs to Indicate Requirement Levels", BCP 14, RFC 2119, March 1997. [RFC3688] Mealling, M., "The IETF XML Registry", BCP 81, RFC 3688, January 2004. [RFC4741] Enns, R., "NETCONF Configuration Protocol", RFC 4741, December 2006. Alexander Expires September 22, 2007 [Page 19] Internet-Draft Data Modeling March 2007 Author's Address Michael Alexander Wirtschaftsuniversitaet Wien Augasse 2-6 Vienna 1090 Austria Phone: +43.1.31336.4467 Email: malexand@wu-wien.ac.at Alexander Expires September 22, 2007 [Page 20] Internet-Draft Data Modeling March 2007 Full Copyright Statement Copyright (C) The IETF Trust (2007). This document is subject to the rights, licenses and restrictions contained in BCP 78, and except as set forth therein, the authors retain all their rights. This document and the information contained herein are provided on an "AS IS" basis and THE CONTRIBUTOR, THE ORGANIZATION HE/SHE REPRESENTS OR IS SPONSORED BY (IF ANY), THE INTERNET SOCIETY, THE IETF TRUST AND THE INTERNET ENGINEERING TASK FORCE DISCLAIM ALL WARRANTIES, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO ANY WARRANTY THAT THE USE OF THE INFORMATION HEREIN WILL NOT INFRINGE ANY RIGHTS OR ANY IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Intellectual Property The IETF takes no position regarding the validity or scope of any Intellectual Property Rights or other rights that might be claimed to pertain to the implementation or use of the technology described in this document or the extent to which any license under such rights might or might not be available; nor does it represent that it has made any independent effort to identify any such rights. Information on the procedures with respect to rights in RFC documents can be found in BCP 78 and BCP 79. Copies of IPR disclosures made to the IETF Secretariat and any assurances of licenses to be made available, or the result of an attempt made to obtain a general license or permission for the use of such proprietary rights by implementers or users of this specification can be obtained from the IETF on-line IPR repository at http://www.ietf.org/ipr. The IETF invites any interested party to bring to its attention any copyrights, patents or patent applications, or other proprietary rights that may cover technology that may be required to implement this standard. Please address the information to the IETF at ietf-ipr@ietf.org. Acknowledgment Funding for the RFC Editor function is provided by the IETF Administrative Support Activity (IASA). Alexander Expires September 22, 2007 [Page 21] --------------080409060000040601070802 Content-Type: application/vnd.ms-powerpoint; name="dm_ietf68_5.ppt" Content-Transfer-Encoding: base64 Content-Disposition: inline; filename="dm_ietf68_5.ppt" 0M8R4KGxGuEAAAAAAAAAAAAAAAAAAAAAPgADAP7/CQAGAAAAAAAAAAAAAAAGAAAA3QIAAAAA AAAAEAAA/v///wAAAAD+////AAAAANcCAADYAgAA2QIAANoCAADbAgAA3AIAAP////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////8Abh7wX38BAM4TxTe2L7LmG6cnzEQOefb/iVBO Rw0KGgoAAAANSUhEUgAAAREAAAHWCAIAAADfGyrVAAAAAXNSR0IArs4c6QAA/8pJREFUeF7s nQWAHOX5/2fd/VzjSggetNBSihQoFaSlpWix4hYsuDuUUkqR4lpKoYUWbQvFJW6X5HJ+t+6+ +//MPsn+UkiA40/KBW64LLOzM+/Y830ffx7NpZdcUF9f39HR4fP5dDpdNpstl8uKomi1Wr6W SqVCoWAymaxWa7FYTGR7jc7+YlmrSU4o5er0RaeiSZd1vUXNgMlSKCv6UtFXKrmVorOoZYiU osmVMtlaX00ul0skEnxyrmAwyFA2my2fzzM4JzIajZyLjXzV6fSc/fMvyWSipqYmlUpx2el0 2uPxcAsWiyWZTH7+QUb3HH0Cn/8JaG695frdd98dYnU4HAIYEMLx0B8rBoOBjdAf9M1Xs72U yK3U6s3G0jhtoUZTsmiVrEbvL2uDJSVZVrSlkrdcspfLlpJGKWvTGiVvM5lDgSDHAr/29vaF Cxc2NTWZzWaoHJwILMES43NSjbqAtmEtZY5hELBnt9tXr17NjXA8IB/WKKM7jz6Bz/kENKef 9utf/vKXzPpQXiQSgbhZAAxzPxM/hAhs+IQooW+j2RBPhRWtSV/yKgVLqVDWlHM6Q0JnyOQL KVBSLptLirGs6PhB0aYVpZDPlsa0ta9YscLtdvf09DQ3NwNCAMOA+srC4BWoaFjnFPCez3np a3crA49QKAQO2QLmQQ6n4BaGOc7o7qNP4HM9Ac11115x0EEHsa8qeiUS0B8gATygiC0sMgyM KMOSLdTVt+Xy2lIe4tRoyyUwY9CX9QYFIQ5pTCnryxqlpCkpGvCUVzSlclFR9yqXkaBisRio YB3ZiTFhL8LZBDYimxmNKpf7/IvFYuayQTicSqRKPqun+PzjjO45+gQ+5xPQXH3Vpfvss0+F WI1QMJ/wGVbgA+geXq9XqJntGi1Sk6FYVuAEEKfZqIAOAAF7UdFSZQ8aZKySokXWKqgrGmOp WGY0lo8++qiurm5gYMDlcnEKUZn4FEJnBz714G84i9FoQN7bYYcdotEorAxlCSg6nU5Y2XCG Gd139Al83iegufyyOfvttx+8BZEGPsBsDasRMYmNDANxw2AAlcoWcmWnpwnlQ6vNmK0ag6bI b4VMWVMyWMwubVmngCKlrKr+2jwwQquJRJN1DU3xeJwxX3755b322gupCTmKYQEkzEfPWSqA AUCVqwZzw1rKKoI1mlg0+tZbb22xxRbd3d0iYQ5rlNGdR5/A53wCmiuvuPiHP/whbAR5KRwO C8Nhvp8wYQLqB0Ia20GR2Lh0Bm1RX84WslqlqNdpirlsPpszGcwuuyceQX/QaUti9YK9FDUK 4plid3s6VnZilANygPDpp5/+yU9+An7gXXwVcxn4YXwYGl8R4z7npctuQ4EApgW/389oL730 EpiEybAdnA9rnNGdR5/A53wCuj32+M6kSZMgaCDBAkIgaDSEltbWYCAATwAwMAHgBHMYO779 rvt+M2/+hwvnLZ03d/m8uUs7lq+MxiKFYtrtsWs1igZmwT8Nmj3WajQeJZPL2x0qEWPOYuR3 33131113HRwc3HzmTBkWoxxQEeYGfmBwSGuff6mtq0MeA5Nc3sSJE8Ekt8P1M+bnfASju40+ gWE9AVU2O+ywwyAyJmbUDOZ7eMus7bdfumSJ6OtixgVU8IHHn3ropLOON5pcpbSnVNA67Jik Fbu9NG5C7Usv/aWYyxcypnxOW+dtyuVSsdiAp8aTSBf0RjOyGdxgyZIljY2N9913349//OOp U6ei2IAZziKWaADDKRw2C7ZpoMuVoJ/87Gc/Y+PYsWPPP/98bozrFKELuQ6fUn1jQyZXQKoE NmwBfo899hi3ww5ivB5dRp/Al/4E1AldHIuyIlP+Gp1dNPcSKorqOeEnvc7sstSPa9/KY58+ acz+Bv1OY1u/989/Lpw+fet4IlHSlS02S2NTUySWGAwEJ0+b7A/5i8U8pAyhA0Ucjgh+nAUm gzTFdtX6VvGusJGzwGoiobBAAoHtiCOOePzxx88444xLL710zpw5SF8cDj/hSvr7+xsaGji8 mM+L6QJljMOPP/74v//975iev/QnNTrg6BOQJ6BChSlZ3IuywuwOfQuHYe4Xc5b4Twx6eyig K6ebX3tpsbY0ZfOJBxWyLXbrhEVL+g0WVzydK2p0A4FwppgfN2H8ex++Y7WbdEbVvcOZxKwM w8GnGeUEkQinExeNSvqVE7HnmDFjEAgDgQC7cQj7o9ZjE4OZwOvghGedddY555wDsAEPbKq2 travrw9MAkiggokcNYz10Rc8+gQ20hNQMQMtCmaY7MGGYIYVOaW4O2RdoxgKObPd0rTrdw+c OnnrwBDxKeaiYjKYPBqdo7ahvW8wZHO5zRZrNJnACFDf1MCwkLuEEYgJbuedd0Y847wqCCtm APFpqucqFpcvX44SD9+AC8Fe7rnnnv333x/l/sYbbwQSRx55JNIXV8hQfG1pagY2KDBcOYyr paVl0aJF/MrIG+l5jQ47+gRUzIgiIVTLZM8UjnNDpLUqckRIgxk01imRSGzHbbf917t/UQxh X4Pxhpuuue323/YNRN//YInL17BoWceiZUt7BvrrGluWr+wEJBJMIAYGGAUqTWdnp6BFOAzn FUcNpwAt9bW+E4771akn//ruu+406rVOu7W3e/WhPz34vNlns6Wnq7OQy1jNRpNB19XVxSEo OYAEqMjKT3/600ceeWT01Y4+gY30BDQ3XH8V8WaQsjhhoLkpU6fOmzsXyUc0DWhaWBA/PfHE X3fcYd9U2pLLGGrqW5LpxAOP3v2bO04zmZVQNGa1mRKRZH2NF1HMV+f7979ecLvs4cGo0+4C CUhQoAWorFy5EuvZ97//fcYUuFY9m5py0WQwHnn4YU888QRuFoQ0QAUb5JPrwfwNM7nooouu vfZaCYezOR2DQyG314vwxuWBSfYE8GhBhxxyyEZ6ZKPDfsOfgKppMMGL9AXZQaCyRVR/VR4j anItwykr2YMO2euHB80675ID9z943Pd/0uqo6QMwqC1trc119U1jxk6wumr/8eo/J06a4nTX 9vQEDAaTWLEZh09oHRVFHD7VqJl13wH2sfvvv/+22247/PDD2T5lyhQERYxsKCrPPffc7Nmz H3v6aRCC5RqugtpDsALoApPoMFjPENiAJTznG/5eR29/4z0BFTNQsygt4mFEg5Fw46rFrCq5 abSljlUfZdK9b7z99JLlr8XiK3bdfUZn/9KGSWMf//PTP9j/hz8+6KDTTj/F5XaiZvT29DfW N8pQUDnKOjhhmTx5Mr/K6aB1iQFdV3HiGv7973/zE3yJld12223x4sWA+dlnn7355pvnv/++ gI0BJa4UtMBhUP2JKhDF7DMCNInoUW97BHxuvBc7OvJGewJaRDLRziXtRI2X0Wgk3kz0DWZ0 SJzdoMgJ49sDga5HHrnz1luvv//e+26+5bZ33ppbyJfD/uhTjz9htZkD/n4rsc+RcEtdnTZf zKczxDczrAQZQOgIgb29vTA0hoXcYTjChTgdG2FBZ5555g033HDvvfeyBQaCZwZZDhQhm3Gd yF1ERmNUYAssRRDCsKwDIZAp0Z/ibuIU/IQNmhW+ArDK3QEVwhRGxqfgdnTZdJ4AcWJaiEyC wbBWIduMGzdudWcnG5m8oWmMV/wkLAKXyHbbbTNru60vu+zCp598/Omnn7r5xpt32XGXiW1T wNi3vvWtlqam7bbZuq2lOeL3J2IRt8NOZI0EL0OvED0wgHbxq3z3u9999NFHYSO4NTkF3hio XHVoOhycF4fMqaeeOm3aNLABqIAKF4Amw1d2IEMGFjQ0NIRUJhZqSSgQ7AEqPvkJ8Yw92c5Z EOFYQbpLpRNr344Q61f+OYqZTQcua690TTImX8U+a7XZgIpM1ZAd1CxRZ6wLgX7w7juYfZnz 773nnldfennsmLYnn3n8wQceGD923DbbbHPQTw5samwc09YWDUdaW1vLRTV6jQPhV2I6gxUw OLwCkwBELOFt4qJBoGIFUEH3V1999cyZMwEMGv/Pf/5z2A6wwQwtXAUAi7rP4dW4Mq4NdDEC R2255Zb/+Mc/xAEKYsXezV2wsum9otErHmFPQAtJiagDpSI4xWMxSRWGBOE/rBDKBXLEDMAW RKxcOuNyOJOxODwkMOT/5YEH33zD9T875KADv7/3j374g1/+/NCddtzxj/fds9m0qdCohLqI m18CpWEsMLTx48cL6wA5SFZwOTCDjMaJJKDzgQceYDsXgHMGrgJCYEGSvczVMiyormS5qf5W hpWEBbFnAFcAxo0wArtxX+zDisVsG2nPf4Rdz+jlfPYTUB2aQmqQYzXWGArjK6TGnM1PsBq0 AlQLsh8z6fTOO+7yve9975e/OMyg1wX9g4ls8m9/fbZz1fJkLrtk4YLBvr5MJrFw4QK9VmfQ aTlErMlci8z3zP1ASOwBDA6jAEWSt8M+bFzd3Vvf2PzTQ39R1uha28fytVBSwtH4ZptvwQp/ OoOJ8Bx+VdOtzWbBM2OCFg4X7YurBaJIZdwCv8LfJJqu8kgqCT8j4u+z39DoHiPsCVSoDdhI DAtsxGyxMP0z9wsFQ3NsRDBDNCI7Zc/v7b3fvgeo2nnnarvVdvyvjsWdsmLZ8kceuP/SORf+ 4c7fnXjCcbfdetPTTz21asXy7p4BSTNmZEaDXqWugHyFdZB/BorYgdNB5WqZjooIh2V5/vz5 qP7sA63zK/tgbXv99dcRyQQeElugM6zRZKq+Vw6XqB+UGfYhMoDdqm7T0cDNEUZ/m+TlrPH0 Q4XQMTIYbET8jEzeUh4AtDCXI9hst912RKa8/fab3/7Wrs89++wLf/vbdVdfNX3ypH332vPm G2984I/333z9da+++I/TTznz5z/75V13/j5fysgI4huVQEyoH4iyjmyGWQzMAAOxccs+IBbD GmhhB9QSZDaxgM2bN0+CBsQyLttZl/SbahgBlyrp2Vw/44B2dhOzm4QIbZJvafSiR9IT0Fxx +UW4zMUgO37ChHffeQe7FrQuRAZPgI7FxYlq4bCZMplIXY2HrBgybkq4WAxGk8UaCIbJPIPs IWo0erPRwIHJeJxUMpfHm85mJZigygSE+p966qkDDzwQNoI0BaELTdutZkKbb7nllvfff5+T XnzxxYSTwWGuuuqqP/3pT8JPYFAcwimMZhNXAfcQXZ8RpJIG4GQfImhmzZqF3UzUMyk3VSyN sBwBNTN8dNlkngBplJpLLj5f8mcABnQG5UluJvoMFAxdokajUqO1qzSqhxxTOrKXdRQlM8fi STBjszmisQR5ZnLfkAA+Gcy4rGBJ1eoNOF/EZyqLyIHQNxEuRx11lCTuc8Y1iWJr4w8+9hQ5 RIxsMgiXh0EZ87dhAznMgIf4TsaXtDnEQk7B1ADnEfWJ8TkjuzEyuBVr4edfxNsjthMxgsMh +dxQHQLx7X7yOYjsKq4wFi5AVsTPO7qMtCcASev22nMPhH4ohpwwDE2iQoiwBCVxxRLDL4oE Yclmk1HRavK5UjKRcnvIPCvnCuQ4Zw16o6rrrwkZUIU7kjb55D8oRcVSJVKz6vWHUDiXhMBI +j4oguAsFZ1+vYvq68nlkLVELRE6w1i+3p25fmQzLAEgjR3E1Mb+EuTGTfG1mrONlIiwt6Hz rnc7l8q9iIGBMeF7gFPCt9e7fxUt7C+zhqBC1C1xLq2LmaqwKiLr6DJCnoAaNUPdmXNmz0Zr RoMJBYOozky94n8UIsDcVDVz2eyWQjZjNKnvOxKOIcWFQhGqalotanKLCgxY17oLqkdFmZGJ EyoX3YYBJTigobFRdldRZzBwDaXi+t18HEy46Jo6G5WiGYl4nDEJD1jvVMSeOGeZCEQFErGN 2+FasLUhWXI6vqrKktMJzVatCJ9zYmN8rpnDxXCnLmC4cqfrHeFjmOH62ZnnYDCq9nduTZ1t RnnL53z6X91u111/vWbOhbMvuOACJlpeKqILvIW5E5mHFUQOMTpDW7LO5JrOJCF6h3WNOxJJ inmSQ8S3WMUMFWe0ZS2FzjBiic9EjFdVX4qYHDivaBqcQlI4sR6v94Gwm8QTSKANDIpDKgEE 8fXuLxM5+4jNQJQlVqgFAlrE9MwO3Be2QUYeblgnz0oM8YiIq1at4u6YAhhHqnh+chGzijwH mUH45EYqSUPqFrnOyhaVJw8Xw18dFX2zzvzsc89r7vjtLccccwy2XShAXrlYt4Q5SHCAmKEh NYDE4g8GMDRDgig5NTW1Ety1ttbrGimcyVaDdqthKsX/o06lUqZDZHeRSRAFKaYBeDip1Buo CCrr5zNCVWJiFvCsndHXP6+DCqiZTxEIRZzj7ORHi4GbEbgpVDi8TyhsYGBYL58xeUSoRoyA EMincDPx3n5yYWe1RtzafURXrMBD5cxi9wM88hykQMKwrmd05//NE3jiyac1l1164XnnnUcS GPwE6ufdw2SkRgxvDqoSvyGoYB0qDEejxUIZFSgQHCIIAKtURUBSq2RULlpbIeH/01/zuRTi E/uIiblazlzMXOLUh6BFPahE06yp3PmxRyA1OGEOQkxcLaemjIbXu/40ZqgZK7kaK1AxMHAu YWV4ZYVeRT6Uuyaherg2AAYRwQxNhkviuQmXEHb6yaWq6nziOaimcFH2OFz8vCJG/m+IYPQs w3oCz/31Bc1VV15y2mmngRmImIm/qbn5/ffeI3oFGqXSxeJFi0RymLH55gvmz0e+gA1gCuOl PvLIQ067A6gkEwkwJtyDIs3rIEcttFksZAxUp63IJOwj1To5CuZGFJmEt4huI+ITNL3ee1Dj eiqwBF3IUZDXnnvu+eKLL2Yy66/LLMDgvKqJvBLXLLUIrVbVQ8p2roS8tz//+c/8CquBgw3r 2XE7XNK+++6LxZwRCJ+D6CW4br3jqKpLxd8qzLb6HE499RQeNZfEr2yXwyU2b1jXM7rz/+YJ PPnUnzW33HwdQZDI9CKxQGGkdh166KG8VCbgJ598EnOtECvrhxzyU42WysigqPjwww9ffvml qK+qPo3pVhWe1lx2FTn8qlZvJhisooSouxFvlkgMDvU31DeJLViVl9ZuN5vxb0rtWZFMqmPi l9FkMqoej+ZNmM3CBfOmb7bZZZdeeuEFF6k7qkVu82VF6NWklKktqEP5stoMRFjbXW5GyuQw +pmBDuUK4AgffTRvy622Ovec8y6++FIThXQ5YcVGviZNoHL2tV9ZVU3oMh2suUmNhsll6222 uubqq6F7joIfA0yzSfoRsLMqn/7fp9rvoIyFA1bEDbOeSqYGBwckuJuJQxi7cCpRfv43RDB6 lmE9gb88+zfdDtvP2mvvfXDwQ7rMwWCGGhfjxo1HE4jF4rNmbe/xeCvCg476L1QC0Gv1KjGU CU5ZteOO23csXzYUGAyFh1atXoF5IBYLd/d2lZVCX19XZ09nPpdNJpKrOjvDkUg8EUfq8wcG e/t6X3nt5Z133uX5vz//nd2/Q2qlmhGQSnWuXk1dzlQy07O6u7u3Jxj0R+ORYNj/3vvvQUED g/6enkFg4/cHc5ns/Q/ct8uOO7zz1ts7b//t5Ys6+vp7sqVY98DCnqHObFo7NJiKhYr+gVB/ 72qb1ewfiCxbsSJfynX3djKpB9DDAuG/v/DijtvtPO/DRbvssuOKZb2rV/TEY6l4LL508VKd VhPwD67u7gxyaX3dQ4P9eo1m8aIl0XDMqDctW9yRSmSHhoLPPffXnXfZ6Z//fm23b+/SsXKp P9gbiQYi0RgACJFy10eA0ep8Icut9fb1YO1IpuJd3d1Y5rnfgcE+nu9jjz9GYjnfJNxOHFBi rt/ggpmF+WP078t6AnhOhrMsWbJM1TvBGYoKkgbvGmEJnkNeJEygakPDoQ4L4nXyayW2cR31 VJ3g1fyt1tZms9k4b8FcrU7p7lmNlG+zWRLpBDhh6tVqSNZXrUyMQzgZqn+ukGlrb+FqFyxY ADjx1TQ1tiSS6dWre/VG67SpmyHpRGNh2MKee+yBcoLmg5khEUsaDWZonqvVU+4GBlWg7A01 OI1q8adyqq7R3TvQGwiEkCgRDNtb61d2LA6Hhrxuj1Gvq7AjKq8j9hQrl43NmhrtKoNBHFUF yUK+pbUpFg/HYqG2lnqdtkCTEZMhe921F3m9JECUP/rwHYcT+1iangjCTdZwRUliU2vepiom bFU9GzduDCyayQU8kAqECwjLBaCtaHD5+vpa2PWwJrnRnUfCE6hYPyuGMsADXY4dN06KwVLA kmIaFHZhFiQ1n/oV9JBZTxFkhJZKX4Cenr5UKvPt3fZwu2oa6ttaW8Zl0kWrxaXXqUhjTE4h pToZp662AUNC1+qeZDJN1k1bW9se391zp512mTlzywMOOGjnnb5ttTlnzdrhO7vtnkmlH3vo oe9+61vTJ05cNPeDyZMm0NEGMKNGpZJpvcGEIFZSiol4CmEP7wtjtrW1TJ061mjIJhJ9pVLQ 49U6HBqX07hq5TIPSQFKXqNkFW2WDm1qhxyasemKZV28UApn8sF02p/LRTKZkM2h7+1bifaE I+rRx27PZPsNuphOE5s0ifIDS51u8j1z6h+SZ6WSAtJgWW28A0NSbQOiHaHtHH300VQ4kII4 +L6APchRxVSDgdlktLHUSMDAcK9By2tDWealgg1eNko/RWEgcTTmZUuXUpMSggZOBIa88cYb FOKrzKZrc4PXnE1tO9Pc1D550hYuR+1WW87aftYurc3jfvHzYyaMmfyjHx308suvMuvncwRK 0rIv3draTswynIGUNs7e2bl62dKOaDROgBny/qLFHUNDXaQKRMJxt8O93XazZk6fts0WM978 12unnHiC2aCnUBPXU1ffGIunEqlMMafSHzSKsGS3uX2emmI+t3jRh4P9y2btNPnMMw+3WpLp 1MBAb8e49hZtiSYCtCHgD4uFKAyqIqRosmVNqqbO6q2xaHRpgxH2UgY5VkvhzjuvmXPJWRYz fQ6jOn0imw20tnio3kFQBIXe16orWAvR6NSRzzn73GOPPZbiuuiETBOwVu6RLTT5Of300w8+ +GDYNQY9+A+Wg9HGUsOl15Gwv5ouj9bJ9I9/EA0bcvzOd76Dcsx7RbehBVq1ngv1/DGvrcHM /4lnarsZSLCvd7C5qZls6MEB/0cfLEaV/fvzrxE/2dnZDbngwYCA4EhYs4aG/GPHjkfLrZjI NDAiLNeowlzAHb/74/sfLnjqz288+shzPm/966/+y6Kxnn3qaScde1yjz+PE5V8quKxqxuWK FatqG5oSGI4N2kg84vR4I+GE0+FD0kQVmTZ1bHOr9aTjf/zTn+567rlHjG13tzd76fvR3dmv LTqUopeOn0rJQUgAyThrFH0NxQsivf0dZSVVX2/1D61qbLQ/9vhdV18zu5Tt3GHHKb+9/bKX X3zyvXdeWt7xYVOjq4K0SoMdFhCo/qlQXL26+4EHHrr33j/eddfdjz5KQN0xxx13wve+t9cZ Z5w1fvxEq9XOZIG61tzcOjQUcLlG632OBBQM7xq0xL9IPWVmawnERJT64P337777bvEGghwM smxnXsSPsZ7hK7JZbW0jIfxOh/V3dzzw0YeLH33khUULV+g1np7uPqIZadeBmVeNbNabkMpw XOp1qp8UPYcmNLTS6O3tR69oamohYUent40bP/nFF16eNHnq5HFNK5ctLWVTF194nl5TTAQD rePGmA1mgm6Y5HPFAmJRrpDzB4Jt7eMyidxA78D0qVNWrlx07dXn3vb7K/fYa8v99tth9tnH phP+VCzS2tCilC1KyVL5VM1rcEhhODwEHsXcuXP/8/q/rr3m+vbWMZdcdOnee+6VjA6Fw307 77jFOWfTRPHgjo5FAX/fv//1MkxGbfvBf2t0Gi1GeAKQXC43xsATTjjhlFNOYbLAukilafTD 6667DqGUCai2plY4DAwcrW94r2t07xHwBFR9pur4541ST0z0GapRYszF2oPY/V/6DPK7KsLL H8uahEeqz7idNYW80tw0pqd7cMb0bcol4z//+XZL6xiP2wNth8NRZD+plZHLqhEwNqsDWzLa P5IbEWsUPMtmclRFs9hcBJfw06K585GmHnnwgQvOOeuVF/62oLOTcLS5b79TibNUz+6tq8cc 5/JS0DCXSVNAIzuufeLKjmW33Xz1LXfe2N/53qqOt/fdZ4fdv731WWedOG3GZvFoXANdq1Cp 2o7BjK6k6O0O7wP3P97VOThtyrZHHX7SQE/8xmvuuvuOh8AhUah3/fZ3V11+xc033Hj6KSfP /fB9aoN8QkCtPIqy9ve//z1GlDdef+Omm26isiFCGpXaDzjggM022wxNBstKqbym/jXiroRX jy6b1hPQMtV5vF7YiHjWkL5IxIe9sL6io4POZFLTFf31lVde2WBARxkZD1mfHExcMcr0aTM7 Ojpdzho4zIJ5C6Fwp9M1a9Z21AdEOJF0f4RAiWFTMzcphG4wJBLJcROpvFzyeGtpwSlxj2pT jXTqh/vvp0a4DQ0uW7q4rq5GTf8s5BMpVVuwO2zhaMjr8wWDYZvVBZYumnPhfQ/dH+pZ3Diu tanBOtjfseuu2x1x+C8OPmB/lwMLHgaAlBYDACsq/qF+OFbpww8/HBoMfPtbezTUthWzBqPG FfFnzzj5guuvuu39dxYM9AfPnT3H4/Kdeebss06f/f77H6iRQR9fVDUP7YWpB/aDWsjdwVu4 09/+9rdsxHNaV1vHdp62dCzdUEDnpkVD37SrVemSe8b4K5HtTH6/+tWvqJMk9cfQWVFspKsz rk8JRVnrcPyvZ6VRyLi0xmMKUjvyekN9I9yA2v6wLCSTVDqFSwHIQe7Lli1jxkUaBKWIKNSg ATbRWNTjsWPsdjhseE+wfSMpUXXgt7+9/fnnn2fC/jeDpFJqLel00mwxViI7TSSQlcqE0KtO wIbmJi4YxyuxzFdddP7df7gzG8aWkFq44INbbrrhr88+09bSetnlFyn6sKL3K/qgVhdUdBFF GytrkuCHeOtgyF9bUxcOxbLJwn13P+wwewpZ/Uknnvv2fxYbtL5syrj5ZjtstcVOb/7nvXIJ LUiYleqpXLdaGjeFd4YIVTxaxOugs7ndKC1MDZU0IkXB30UvXyYRPofZ0+2bRpwj9H6H7Z/Z 0H3oDeRyFglKxhcJ1eby2YkTm/EIVvoqx+fNnbdw4WJCjcGbhJwhAQobgbNBrFttuVUqlaMk mtvtnD5tDFv8/kGLRS0CWNQq4ydNVuIxeItky+Dl0OPSUvMxiWikpIaWdoXJZJy5/Hvf3eNX Rx39q2OOg6eZXF5sDyrxag2nnHzaGWedPWfOhTAWTF4qk1HNzfwR1pUva/MfzXvzW7tu++Ir T2dzganTmsyW1EUXn1wsxjOp8gnHnxv050sFvEbbTp64RWfnwIzNtsKsrMLm/5Y1/pmKW2Yc fIbzCsjZhekDuZSJAMbCFviMGPcxe4xQuhi9rA0/gS/mn/mEWKKhMB/+yjRJNCQT6PTlMWNa VqzocTrt0WgYlrL5zM3GjGkjZh5OAgNJJEk6sGSyqaGhATw/Ho/rgw/fs1qN6UyqqdG7smPF pMljDjzohwQKPPjoI39/6cUnnnk6SI2oYklDpmglolmn10CwJLths7PZrQajPp1OAiHYFBbt RCzt76dtEy2kamhEEIqQT2pNZQgzKKmqv6r9VyzOiq6iwRfATyzRv8feW3f1vfvvtx8KJt6N Zd655f4zH338GrfPm0wbb//tI4mkdtGiLrujXtHACZMV+4HwGZb/0/HAA6EMJBfhya3x1RWo ipDOlYoKChv2j/6+wVg0geUDcZTta/n2KIVuSk9guP4ZCaZad5H5lYDcnM1uMluUaCzY3FIX jvibW2qNJt139/iOGl3WUAc8jj76yPqGWopZ4t7EJUkEPsrJBx+8B2aQEAvF0rhxbas7O6ZN GxcMDJB98+Y7/9l8y837hvxGhyOWSiOBUQEAqSdfwi9ZUHvclvJ0wSV/gGQ2VBCjifBRLXa5 RDxdV9OupGBKLnK0gY3R5LA73FodaOHPjN2stMaARsqaqojvuvu3zjv/jOtuvCiaWDXn4mMa W8rp0NvnXHDkTbfc7HQ2dXYHLNYam73m/vsfd3vqfn7YEZgN1Haha4PUWBEAwT2YF6RpFLxF 6hbATuE5IARBFHlVQlolYmP4fao3JfL6Wl7r8P0zzMzq5Cx/6wQ1agqBoF9vULbeZvNlyxfq DcVguC+bi7/xxr/33ntPjG8Yjl597eWaGp/H44ZVcGw8HhscGhgztq2SPqlyqu6uVfV1zlQ8 sPc+37n2ussXLVv86zPmdAaGiOYnQZk9KOVEK6hKbg8qRRFZD+JD8iHludIdB9MC9TSs9XVt CThBxmy3oizZAsFM32AkqAbQpVRDs+qicSpFu1Ky81lWrErR2tw4bpdvfefqK6+YffZpd9xx 3clnHocjl5IBJLGefe4FXl/d4089884Hc7fcdttdv/2dVau7K9yl+hwqz6TyV1/XKHU8WCS5 Wq6QjdgDQA75C5gKpZGBpNCMLpvWE/j/98+sgQ28gtKC5LbMm/9+W1tTWck1NtXMnDl16222 CIXoqIECE588eTo91Xt7uxHPCCno7++tr6tHTEF78flUAtpr7+/tvNO248Y3Wy2GqdMm3ffg vb/7ww2FXD6ZSJd0hpJWR6CYGiZNlHJJXaXfOjGjLBo9hja1tSahpWqZ6URWU7aSRZZK6E1G 7Gx17e0TMcdZ7FQ44IIJeIE3SrApbMdKJfdc2jxh7DYNtVP+cOeT55599S1X397dGQWAZ80+ /6LLL+8e6Ntpl5332mfvHXfeiTh+4vpUxX+dPO6KGU39I3uP60EbI3AGfkIraeBBTAAIQc1D mcEKInYXNDpiLzYtchm9WlWgGLZ/Zo0Msu7TU0mPMN7Gplqo95hfHbHNtlvOmDEVPeHd998G GIRgqRWfPe6enlWk0+DKjERDzMl2hzWeUEmcsV5+5UUoHptBX9/qbCZRLGV23/3byzqW7rv/ fiW9NkcCMKk1hBVgyaYsh0pzqkCIQ4RYT0xn5DEbjFqL1YAGRR0cvc6SjJduu+3eK6+8/bFH /lYqmSOxNNJdMDJY0kcVfUjRxRQtjQ258Apyis4xLdtqiy0H7HPqj/c9+5xT7+lZZg/31Z9z 2u2XXXZD/2Dv1OlTmtqbewZ7i0qJaGuXy7EmcUDNsVsTcQds+KN2IfobFd9J78Gzeccdd+Co oZ8hzk0Ag6hWidRUMzrhP0ino1S4yT2B4fpn8H5r+YNQKpJIqaythAlrCm6P7YUX/louZd78 z79WrlhK4r1STtf7MIN5+voGapsb//XWGxOnTZq36MPJU8ZlcqlEIVWm8ovdazI6W2vHYs1a tHBeV/eKRYvmLu9YDAwWLl5EDEEoHJ07d0E8mVYLD7BUil1oiVAW2Uit4aKWSIfFREORWDRF coqCkbdUPuGUM/bZ/6dXXH3nOeddd/IZF0TiGThRc1trWUNEs2ooAyhlLetqahfJNukMCLQF Axi47H6/QdG2Pvn0B2ecdWM4mm9uHzt/8RKd3mgwmtmbOKNUNrMmv+f/mmGsifXGC/zgQ/dT wfA/b77+wQcf/Pv1f/KJUIr94+WXXwQ2BGtzH/QdwXSGkLbWNbzJUc439YLppeFwObALF8tF Vqx2ayAUOOKoI9rHtrOOb/2nh/60vrGe9VQmte/++xKrki/p6GSWKpRShWwsF00X43mFw7OF UqasySxe9lHA39Pb07lk8fx4aCCdCPd09Hjd9elUeszkaW9++NakaePiyQEjeoRe2wP1MEkX 3Rl/2aVzmQ0anSGnwZSl0zz51NN9vQOpZJ797BZXIpqwwUT0OpPaBVqDoz2ZIlbNkM2VyGnh V2pDNzfgiyRezlxEUDMaiKl0NIzpjxnz+sYUlTkc+Bm1FGRLZ/HpGDCjxRJximp4vFRBSJc1 8VwhbLITDqCLZJLe5raeaOrYMy4sWWvLelssnne5G6JxYtuslEGMJVMMpdFpscql0ymq8KCe UWWA5BnmE5gntvWOFcs6OpYvXrJwGV7YJQuXLl2yZOmiRYsXLlq8wGq1cAgdRrw+t5qHVC5l 89y1lsSGIhJnqajOCBS44qf1/qkT1ejfsJ8A8108keLR4SezWO0F0iYVrclsJU9xvX/wBay7 COAWqwkDL55A0p+kILOaes6EJ04DNSbA40FPRRz/3e9+JwmDSEsPPfQQEgVhlBh74CSxaMBB URqr3WFyaEvaWm+d1ezUls2asllbJmXKIAYhwl+0mmI+G+nvXbG8v/O1d17Vaw0rlnaGAjGT wdYfDRit9nhaAQjYjQ0K6Z/5VKUg+toFy9KaP1R9jFGS7suvXHNb25hMloIVJa/Hy8VUCqWn tfxicvIsEuQhUKJNaypq7PyVNCZlbek1m91tMFphVdxRsVRYsXJZoUhMAJ6fot6oDUVCWqMB e8OpZ51n9zVGkvnKsUT+y596PTKU1J7mvN3dXZA+lsC2tlbC6SrZYOrtf/Kz0upDLRyHjbGS HJEhJKIiaarNc5DWpE5INVVzOKlQo/t+xhPggavZX1oSQxysV3RirFDxDR2GFir1jUWK5qhK MQk1kV5zwYWzCSLEsYhpi63bz9r+w48+hBrYdeeddl68ZDEhAhyMz3He/HmZdKKl0ZuKJ/JZ w8sv/XPWrG3/9cbrICscTHh9TQQp4ugAyQhspYrMoy9n08FOh9vuHDdx5aqBclzTVtcaD8VK euWUOec99PRTE5rHz3393UT3kB6vibNsdlmyifR/l0hbIwMgEYkZl2uT8jeUzJXQHgIrpY4M u7IbVy4FMtcrPbCbRAlh9j3t1NPuvudu6tP+5S9/YWduX8rtcgqqRRPqItGr6x2Hx80IJxx/ wm/v+C11pamLy3QjhTLWuz+oQPtnQClIIuUEeOw33XjTkqVLVI+TTsfhWKWlROA3VfTZWPet urZ1OtEneUe8Al43BiMLae3rW9gTr4DEXkIwHMIKTrbHnnhCc+VVl547+9y58+aq826xiNhD tyOq0XIOyOK+++6jwgach/U//vGPZ515SqBvGexCr/hcTvza9RqzpO/jTK/kBCBqqXHxSbWy GaUgSlQfjyrZxEC87HS3WjXOQkTR4+MpKH2Z6EB4cMrEccz5So6QfG26nCloFTPMaX33IKUw mIN1WM+Kai9bPO7vvPPOt3b5FnE31dA1k9HEr5/y4NVZXaPlEJfTFQqHUDx23HFHNBUOwWVk s9roFqKqTJWUUnw6GxpNdmAhFwi9nwMZgSrWG8rjV/FgtmRzaq0MLoAVLpVDMtkMqo7MdlKX R2qybagWx8aiqa/7uFCI5JCryVeV4koQvOoGwA2/vg6NvAKpJK7GNFbaW7BCDthfnntOc9rp J914w43wFo5nCgRPeBVAGOIZj1FakQFKToD8Fgz0NzXY8plCNmF2Wik0TpVaTToTQ2KxWXxl HPQ6jMLxsi6BF6VctuuLWqQ3dmuZtPnyjr4Ge5Murwv7g5ly1tZiT5aimjKFnnOFZNLmciM8 Woh0Jm/yY8U4K69TKvpJ1UK4geCeLbAUrlCCUISNymS/IZqTeiBQJ6H4TBDCqSVHla9SDoZn KsWXq6UMP0lRYJgpg0Pg+DwxLgAeyAPcUKiyiJRq+kOlLBOHs4WdpdOotG2T0jxyd6Phm18u innazLO8WRHyedTQALGU9Eda74mgomoloApHikq/iUcff1x33HG/IitGKvPz25rYlkqhMwbl HRPbAl1CQFJfL1PMB8Nxo9kVjacofJTOJNxeSjnndYhkRDqqmcO5shb3iAZ3IRpUIp7X6Ky5 MuFfluDQYHtbI0UsWlrqChqC06jQV6bVDTU3tEZTDFtU2QhgpPzLxxbVCVOZfaXEWUUrULEh shA/SWsN9QorFT1FVPvkgizHI0Osgtz5VdofQKBAReRXkY6gbHlSG3I7yoHC4tmZEdgCnjdU l0zYiASGy72IPCblFwUkwm0YQZL/vlyi+YaPxnOudkPixUHzwgwIXlzvk5HQfnkjqPRQnczO y5ev1Jx//rkXXnghxIHSz6CAB4cj9MRECAqhBhLRWEGr4QXXNNaHKeeUSXsdnlgo4XXUZBIR zD/pRFCHiKXmb5EWT/lMrBKmUtFXVEw2tzmaCMXSUbOx4LNrwkN9TXX1WAuC0Xw6X7LaKIlh wPpksrjDSZ3N4Sxl/bqyWvr5Yws3oIZypVIwBG4VChM6E/WAnflJ+CS8SOh4vc+CR8AjAznc ESTOTQkpS86ZKBJS5V0IWhpBf3JhO7tJdSUuTHoNQOg86w1Rp+zJNQsgBRWSFsE4ak5EpV4u Q/EipP716PJlPQEhGJEFpB6dKmgEhxAM1nsKcUxDAJtvvjlwOOvss1etXAls/vq3v2tuuukG XG8I5X/4wx+uv/563h/EhGwmvAl2xltkVyw80FNcrV1HazNjqRw3YhXOGBzoM8V4sRDDfqpG PaLIlwnEQjBTqB5ITBicL0e7c6NSzCt2Q0qrhOnHUcpTQdATjWRcPi+enkw2qTM6YnGFWsdg jkCyT96GEJyUrqxWABM7hlohrTIrsAKhSzTxhlJ9pNi52luTzJzKPTIaFMz+jAaK+JSfGIp7 39A4Um2wWklQ2NoG84sqJZhF9GIfgaJ4k6X8nyCZC2NFrn9UNvuy0CLjVOUOqcRAXyPKlKtC hFr6Zz2Cjbqb0ynF9M4+66xrr7vurTff9Hp9f3r6GTVeHYrhYEzJMr+KbsC75KvU3RIVgo12 m8NGJD8BJ5qMXklajBAcnkWrzuAJRLIFjTtZ1ie0Slyn1E7/rn38ns3bHFU/4+hxW51cO+ao gkHpiVkzSvNgppjWaZK5lMNtUbSZ1V3ztKYoThe3A5BRL0ktvlopaKQKSBJRz6mhcshIJJ+q mgHlcYVcquhqXLzIndywTOcitso4YlgUexor7Mz8UVW7+VV6hwhjkUxvkZc4VmXilU8JjZNz VZV19gEGkL4wN2nmI18xvgnrkKGEt8gp+CqCn0BdupXwVdIH2H+9i0gLn1w2RGEb2v+btl2e D49Upjmh+aVLl2J07enpXbx4yfLlHStXruKThEJW/P7Af974z4oVK1etXOXz1QArmgzJ69NK KTrokiEQ2tgEKRDPUknqIoNfjS/k+co5EpGYEXlLDabP8oecQVqwpqSryGBNfYlcVq/UTv3u b575x25H7XH0tUdFzH22CTXfO+ggvWvsmKln337va6uiuIRaClqH2ebGveL3D7S3teHywN4W DfkzsbhBb4DCpLOSoEXmZqk3y2VI0QKZmLk2CTBDYJMJG51E6k2LYVEKvTIINC3dm8GGyHIc SO0OMQlIb2c+OYVaNDAQ4OEikcqsD+PlUaDosyePi6HU+my5HJMLv1Zys4vScEpAyDUwLJeK KRkBQOTm4c6aw8XGcMcf3V+eQENDE2+WdyRsH5pBk+d98ZbJg2KGhbrUJK5KWrFMZ2siCysV XylDTo2kosPhoooSScKkbbGRFfmVP6vJbCoollwBZYWmgbqCChc1vFmjXdEXsNjNvuYtT73+ jH+sftKzSyo6fv4uZ0ze7dCx7Vu6M9FQWVdX37rz31/rzCrGSNnUH04pWpvdWR9LFvpD0UzR 6LXWUwCaODJql+Gg5BrQnLC5VaJjgEp46dLlGBJ8vlqupL9/kEZrdL+hBAcrCao2ZXLUWIN/ NDY2cyA34vH4LBaU8iLHknfNjaTTND5wEfjMutNJzjZSEP5QSq37qAJTEaDwdbpraurYk2tQ ixbYHLW19R0dK6kUQ/42I/OU6tUsVEQseI5a94MRuCrOzoGUI+Qnzjs46B8zZhzXzwojVB/1 51yp+nM/tvI5Dx/d7fM9AQWlhbfJzrxEXqjd7uSTN0jxMOgQyoH42YHIKUiCfVTMgC0mSHHk iQ2OraBNZnfAJxY3ZveKeadS15hdiqgxlXVV5cdZrlDmTx2vZmxUyfumGPymRW/3/rV5S1vZ mg+Goibf1Gy8Zs5F95199q3X3v1cTmMyOlxak85osta3tGw9a3vablJo0mJ2mY3WrbfeWsxH mHFhICCedRQqMq7lOrlIJBn0OaYElDnQzxamBPgGTEZugcsWpyRfOZZJQu6IGxETmZxCdCF4 C0PxKUlgUt0CUQ1eBBvhwN1224392QKquCQs/ZxU9U/hodJopJEOAZfMSRgSiF9mHyKa+YkT YaNT61Rt5GWUL32hB6zGW0IAiA+8Kcnh5ytCBy+RFTaKgUeNpK/I5CpmRNeU2A3oAMqDUOh0 +Zvf/Oa2226jF+zNN99MLZXbb7+dlXPOPLtSbhW0UB8MuRDHf5FQFbRfYjJbmg5V8o19fbG6 ZkcovqKp1dtFIdmC9+FLH9WnJiu9dbl4a039tr+57rdgDbdoMB4NxkORcHTZ8qV9/o4p0xrS kf5MIfX2229zJVwPqAASkLt4ZsToIdoLcBJGCY3yyXaoVrSyakYxEJKfAA8rDMg9gx9ukK/I UVC2qHA8Gp4Llg9x1UtDKGqIsjNpPzwsRgA8VKxmELHdgYR///vfoqiAMfDMmAiQgJn6Bxwr Ap5IhqMK/Rci6P/FQTNnzkSrgbp4p3Q7nj59BmelZAWvGwmcjcBJDb2vKMBr9BlRV0QZELMP hMUB9LrAnnb88ccTE0BVDQqonnjiidQWq1SPIJoKwNgJJVR0+ZI2rS3pJo852mfZxZjfqtG6 U7RHW2edkuyrbbHv8vQdr1h822UGHI1tu3isLYEFSw879fh7Hr87r+RMVpPT4e0jlEYxs7ps 2XLFrC1m0hKEAuiZqoE718qsD+kznUOj3B6AQeKkrBRXDpULW2Cap/QzK9OnT0eRYAe4AYNw IIIp0JJ75HC+AhUGh6DVMs0VdZyv0qOGZ8QhUDycBwBQ/V1UfE5KuhgzEFgVi/aMGTOANAAW JsbgHM46CBQoysh8fgF95n9BL6PnUBRIBdrg7SOf8+LIJSFsatdddxWXhmQHqkRSaXssb3ON E0NesEyizLKov+zKRohDHNuy3t3flzQoMaOS1ClpnZLDbIxOg7WrrNjKMwv9m+v8O9157nul zhmJjyZ8cI/58dPnH3foLdkhkzHjyfhzUf+Q4tW5ajKK0R9M9xLDC0attvpkEYOVJ4uFWWvU mSwiL0GvyFFAHHCr0f5rfXzCE/BJffTRR2LwhT+IoEXKCrdA1SVKgULBPAu2c6siYjEXcGsc zu0AG6Q4xufRsA/jUPmWjezMuaTzmXh+pNg0x4rsynNgH1H6gQ2nljTm5cuXcyA7ADbSzrg8 9hGTAOE5w21uM0rM/7MnwGyIPAJgttxyJuuI5xVpi+D0BGIFL523LNI79CBGV9Vuxg+QBa9c Qj/EelA18rJRzFPsbbXb1CxH1JlKWxkqwhTxbitmNJx0xGw3tBsK9UrK59TPtOu2UIpjFWPz 7268WjEladKRzw8adTlvXV0qUUwkizWWBogvl1WKWcWpM2oJQ9N7laS2mMgZyaDMlwuZfDlH 3UBbMk6hcTWlHinS5fYSxU0IN1H9FDjHu8oiFdgAj5SZ5g7httIoU2Z6mRGq9ZF5NAAGnMA0 1NK7lV6wCHXYT0AUv4q8J7yOX8UGLQ5HHpe0l+Jw0MKpZXxmGdiaeF122mknNvIrY4J5nGKj tTL+ZxiQE1WLVq7jeYFsC5oyLkPcFWoxicpnaWxbu9ftbW1qnPvhXFop1dd4qAI+cdzYzTfb fHAg6LS6E/FMOa+xmG2NdY3UVVYxw+sUoUXeq2o50lPDBZNRQRgOVAL9MaHyq91suO3ay6GL m6/4HVlb1151EekfV111Vy6v6MyGrBLSOsJKafAPv7snQ+ui+uRmh7T/8NLdS02Lit4PS6Yl RuJaopq7r3i6mJmQVSyc124qeG1ps1IykABZMKMsIYhpchTU0Lh01jENbXadrcHXQNZOLqs6 O+PJTL4IUDVklbl8NU63t6auFmxwzaBd+plJ7B0UDIsQkzTUDyljB6k69auBAqyI9sxuwo6l hr8YP4TDQPdiHRGHqXgk+WTLkiVLRN7DpgzSxMcqTW1hYpxXRD6GErb+sWVUz/nSscQjJToY K5CKicqfWteeUL5MSkHnLiTKmQjZkPzRbi+XS0cDoWXzFr36978vmz93wdwPXn/ttcUL5z33 l7/O/3BROa/NpSFTZyFLiKCxv2fI5/aRiqvWnRH3nzhnoBJmVgQ4XjPbmbBFxyX2VnV35LNn nfprk6Y45/zjQsHwBeednUomTj3lTOZxX621rIkZzBrFW68Y6xDXWrdUxs+KrUr/46CTd/r+ z7ZsaKVPejkftSnlCe21O1K+yEunDTJ+8vFAoBPW5UVqkngRgwZOEy+m3/7w/XgmGU7GiuWc zqRZ2dXX0tba29+nI/zZbKZ+DcQKEuCBfIWOkalEUhKdhxsRzxJ3Jy5FeUNAQkyCrAMSDpfd JDhSNBzx7bAdwDBlCNiAEzoVh4AcdpMQT4DEJxYIdhAfK8hhfC4JWZkxhVPJGWWpEsp6gfSl k9E3dsA1JZEqr51gYoojIb0QvqLiB7+8yVxXX0O7JK2OShNljb5ADpXCJ3lfupLDZSfxHj3b 63UHggPZJD3z9OHIIO5I1Z9d9VpWhlaNA0yTYmvipUobWhRisVPhdo/GA0hCbq8pmYuYLWTh UwWTlMIBoz6P3UuJOjSlOru+sPXWyZzybOOUcF983mbbTA1HMim/ttYyY9qEPa674E5jRikk lXxKZzE7PDWugi6Wd/hzzmTGVvJr03FDOWcoOdvr00ZlKJsgGntx58qWtqauzuVj2pvDwUAy GjSp2W1qcBtoF2Mull/uRVYABlcOpULf4mKvBguDK4m+kT35VWyIzBdsFLSAE9FP4B6iTTEa gi/yG18lxBUIidjGT/ATToRlTzpLSwQnWo3IwYCHK1kvbL6xBL2RbryiNJDuuGb4dYMOS2pR 75xisGjVdl/2WDq3dGVnVkP+RjqnSef5U/hM5YlR0aQGI6utbl040ZcuhGwuxeQoZfKBphZC ZIpqEohI5BKlCzWINAJ9SNomRAB9oEOzG1SCc4QpXaMrkaKbjOfMOju6Qm2tMn/hyS1tRbdV r4QKzmKrV2kPreobWL1US/S/TX/ZVVcXSzqzyadQCCOSXPbB5bAYqsjg++lZ2a9T8JmWe+mh nhuKlhP9Cb8/Ewnlijan0dta19ze2OvvnTBmDDXQgWYqEbXbTCXKwmo0LQ31alHNCg9BGKOo NJcq5nLRUvhJjO4oHkz/IjXBNtlNRC/siWIw5CeRuMQqALtgNx6FhDaLwX7hwoUMziPiOfBw KJQhch3SIJk8YtlTG7ZVbBLsxnYkNJ4q4BHMVGGzkShmdFh1opdSSP/VDxl92ail+p4Gs1U5 Fs9qSHyxuGwub1lvKBt0/BUJBCOq3qAr8WnUKEa92WGZOHVST19XXZOvu2t5LBmg9pjKZ4Tg JCJLgsrAD7Pm1VdfTTsNQtlw0Vx22WVU6eary+nJQ+h6VRXJFbVWQ30qqY0n6GCTT2Zpr7eq pTFFV454p+3u81+d5vr5lo2/XLEgP23SzqmQms07bXJjjTOdTy7OxpRSTrHolWhvpKV1XCoJ GnTpbNTmcJE33O5tqjG7OjoXD0bCr7/2ajoYdpgoe5kjXr9UzDmpmlmh1EIpN3/eR5Ta45rh A8IQIGWJ4xQbF4Z2EYfEdIZABbfhNlmAh1QZF+lUmiIyLFTOgQwiPIT9AY8E1OCTAS0cK14X 7GMcyPzCp4SfiftVDAyCK1DE4WsbwY+S9EZ+Amu7VSBCqI0fpLxpZSUaDNFw3OKpUegkabJT E0J1Elq8mbIxVfnLlPgzpMqGbEmfLRr1Fkf3QGDJyk5PbZ0/FGptG1Pf2JjOZRhPt9dee+2w ww4QBK4G8dkxxWLw2W677WiPutVWW2GrZp3GtNh/tt9+B5JEUNSTGbBhNulwoBpJg7ZadLls 5PAjdrn95j/X1bVZzDXUW337qYe2/e5+2YK5GLMv+VuvG43JmCkWlr31/smUGbMRl0NKgNUS G0hY7E5csfFMjBTKSF8QbcMNS7LY3AZzk9fXtWJFg68mOuh3EyRHt41MWq8zkCqE1k/mI2wl HldlJFAh8cjCRsQyCNOQjC5x+YsBrVJJXdVDRJoCMxJiBzNh4uBrpRyMamdjB0kOk4hj0Ysk QFOQA7QAlVgXJA2OjXIiCTPlk4cpAdTClGScqiYzqtJ8yTBS1UW1HENFs1hTupIvZrVFnyYd TxJvaHG5Xnj59c233bG7N6gz2TD8ljTmkkL1CEtlxVpSLMWSqaGx3WxCRDfNmzt/p513WrFy pddTM3/+Us0111xzxhlnqL2K/vMffJciiwttQQq8fgnilFeeTlFrgqj7XFmfSSVzkHIuo1A7 k2BLnT6qUXzaomf6ZjcO+lvcLRNimpWB0qLD5vzwkfsfdA00mkKlMXXaf/771IQmnUytrHPW lBMc6lMLhesJZ1YySsZKZkE0o5gsSjiIU70w0K/3etD3lVhYcbsUpNFszujzUKaWe7dQ94Ns 4axqE+PyZIKnbqW8A2haEk65F3aQ4BokMSk0LqpaNYKTr2xk4pCblchuhD20OBHPgBNaPgIe 4JQUAOHPkskDYCRhk3lHUlxFFJR0cVbYvyqViSQsF7muZeJLJp1v5nBqqTpsZii5KlykaKNa 7BRjWl41aZLaSMiYxqRrGrPFtK1mvfXuR04H4Ytq1bFqfwfVMkYFe60hGgw01nrDgd5zzjr5 xOOOCA51U1f5b399QYPcRSLBm2+++eqrr55zzjm8TgQMsTjJbAqVIFaJPVqvA06qfpUuxKxm C4HItT6HWqZPQUDqQ1iMhWv0eif5Mzvu9lR/xB8uDf7irH3vv/d3Y3Wt8/45B9YSRCeuCVgN SHRFj61diWA5U/LxFIqZ4jUrVIzF9ZNMYdtSYeRyEvuleF0qo81mFLL2TQbqh9M+E1tVJBKm 5BhUzrVxwchC0KhwBjGaQe5shF4lZQKGw6eIVWI4hmRBmvhh2Ch0zwo8h4cAusTWLN5VgCQa HQMK2KQus0woYrvjYqplN+REHIhAKDk5AhvhM0LS1RCmbyaFf/l3vQYzoIRY+UpaDNhhigQS amGSEh7zQDRlc1snz9z90qtvnjh1BqK97FZdVLmurOSzJSsakE4ppGP/eOGp2WccsXTJMrvN +ORTj2rQW84++2zc2E899dTs2bNlAt7g/IepmwRkmp1rAAmANmgVk1atmoElPESSAKnNyTSF BZxo9dTOp45ZJK24rIo1rRhoSq7WE09iWaPxSiphtWs9DibcIEXzMVqFFY9TGRhUCM4htICZ WK/L9vaZait8BhojttpsLMbiukbC0iIFjdZR6wKuiXScqpbiP4F2IUfJN4YcoVpIX5Kf2Qg1 Q74SHyTpZaCoah7gWFAE6UvSAfjBNyWSGIMwd4A3QALDEdOiPGLhGIJAiWfjEFELRULjE0zK GSUEQRYuWJDM/owvgQLsKYKfGGZkfBYpoyMgFJjJXbAiaOTWxPrHgXyKn0B2lisU4ZCNoubJ nCgBFuK8ljjXKgP88qn5fzPixzCzhs+oPbnULo5q/rCOwkiUapm6xZ53P/zUQ488WyogMlCF i8lsTTcUVQuq9L7TlQtGbV5fztQ4dHMuOHTxgi69PvfMX/40TMyoRexAVbGsSVPXUn1rYKak xgEUk1mdPo9kiIU7X8zRwSlRLF9y6dVXX3I1pf2MZD0WkSOVciGWMxvzioXcTTpQFvtT9mz8 gl8f4R/otXub8Ixq1OJ6oUI219rcVM6rxcsrFFaieKfRalvZ0ztmypSb7sSLWgzHE7VNXmqU FctrerXDCiBESFboHiqBpJDH0N1Zl7eGgiHmLPbEnMXOQqMQDcIYhgRxVophjfRVxDOhV7FE S0KbpOJJzowMy4BYGhkNHMKg2CKmCKFXMW1L7g3KEhqOGF3WJST2QfzjAjhKSJxf4XicS6z8 rAvdS4iDBJJylDjWZAepdsC6GMqRTgkC4r6EwYqXSeKm5CxcD2PyE9fPY/mUnPD/Dc3//55F jVIhC3KNbFapxcIHD0SdQdTc4bIhQzE7jTJly+/f+9BTDz76l1IBh6FqD6hUn1ljoq7UiVXw dxg1eb2SAjMXnX/o4oWr9LrCM395av1J8xu+dOZ3GmLiEuKF8wIkr0ZddBZTMUulfScWOU05 V1SGbLrEdZf8upBZYSp1211pi1NNtClk9EbFy7GRrBJIFDSWhLZZPzCw4K6H77np1t/f9Nif bnjgzntefer+fz1z29NP+PWJq39/4/WP/OHmPz88efNJH8x//+nXXupa1ZkKR3gq9U3e0GCY zjO4knjfAAacAAm10F4lNZKrgkrEzgttoWZICCbb2QfbMStQDOTCRigJxgJIJL5bSBbvPiMI YKR4ADtAfyKDQbsSPMo+AEbSWgUwAJWTgh9GEy4hrImhIGLhLWhf8uigaXF9cqkCM/AGALgX MCDxnVwk2OAapBCElLfjetgoaevsI58CJLGqc4/sJt07WKExAWcRMDOgWErEdCEJeVJsaBNf II1K2bAKYCqRXmsb0THhVziPmntPw+A1LbeonLymgVdZS/kX9a+kflKMWLp6ZSjtTWFiRRtX tJSPhEsNb+EieDEE6mD85e1aSqCxwszidNqzKLHBnM3dqNc5o0Hqwmquuu5au5nK/IViJpZP xqkMYLB52b27Ry0C6HbqHV6jkg+MbW9QohHFU1MIhpLaTKQUcjTUzO3495yrz9vt+7soDt3O MyYce+JRrW0NqYHuhsYaa607GY/yNGrqVK+/2lesQoWAB5YCpRKKL45OViQOCLKQmBrhDNLW gv0hFHQSNqrW81yOoSAvgh4QVsW9I/uzRXgF2IAoITsJmeFXfhJJSYJZJQUA5LCbWO2kNCk4 5Ciuh09OBMzAgzx7VjhWcgO5JJEDZSOnEJ8PIGdYhEOQyZ7CJ8X2ANSrCphcgEQziFFEQnhE y2IokCMGDLlmMZ1zOL+yRQC/aS9rAaNWDltboVYq4ksds7XeTrUykgqhSv1uLVStNq8nE4zG YIhRbFQ/S0SIabPqJ4u0x6t06voCCzVlKZdR6WvBpVWM4Zgfwv4MoV1490tZd71ns2ys+byz bi0pDr3JV9S7DDbyZ4jlzDGLjmvxkYLjj69GUigmwyu7uhW6/3GLFgNm50mTJrz19p+/9a1d dtnl27+7/bpD99zJoMv6hzppH5tOhY2UdsoknK6KmJHCeK3K90I0sAX11vDwtLeLp1JSi5me oXjIQlK4oWMmezZCzSKbcZRM7QInjG94qERukamXLBqwARGzQH9Mz2CSAckOAGYiZUF/0LGY H4hDY4cqW4O4GZ8LY2TxC7E/GwFAlQup0UCpFJgUBUNkS9lTxDC2AHu1wnolcgcAgAcR24T1 qQ+kUsKLFVHM2E3CoGQc7pe5QJRVkMY4gkwOF6nyC5DCyDqkYmGWal9rtJM1rEYAI8iRS1bb N6p7UyesvKZOf6XThBqhxs6qeqP+FSosAcywrnYKq+wzvAWQQO3/V15VBSueVbpdaEuEGNS0 2fQ2ZuVeLpp+E8ccd348r7K0vMZKLz2j25WLZeK0o1Fy/vBqn8OdLeR07jpvQyM+p5Xdi4wN lmmTm26+7NT9djvg7ZcfffSuy/fZ7Yhdt5tpoMWAx5aMkSdTGhwksiunseizubTFZc7mM8ge EBD0hETETCyxxlVjGgQh+WoSOQZVQZdQmzhYoBhIh3V+Qs2ApPjkkUD9bGdFCu4AJOq8QVVS q4D9RT8Be1Az5+UTKhSXDsOSlQAGJJlHfDKsCzOE6CFoiZSD4lkkKUg4EuOwGyNLqixIA7Si 30tEAuZsrlAYBVfCnoiLDMJFsrO4idgibIRDGFAUG87CuvTD4XRcp8SqS7YFKzxGueVNeqnI XWuszOvcSNXZSeuhCmLWGsokXKBiX1ZboahKB5/qHyVpVJtzZRC1o13VtDZMzDCQ2iSM3nqq BbyiywBBQo7x46cSub5Uqu/yK89+6Inbb7r9pqtuuHXc1MYb7rxjztU3XXDVLZdfc18ppRg9 bofXlYgEmzwNRhyb+vpsqBxJqwrXuFntWpPx/luv/f0FN6/456PJ5Uv1gaEnbj/hwVv/dP4J x20zdffJY5otunIdwWllvEIFP13Sgmp1C3E7ClsAPKyImAQpyDQseWCiH0NM4rSFhkS+4lco knUOrDSTskJMDAUGOFZ4CPQEmQoMxJgGlsShKZKYZCJISgUjEMWDlCXEKvM6C0gTNUk0EwAm J5V10cfETyr7yNlF9AI/kmggbISj2E2sFzA6wb9s5Ff2kXRrjuWMsDJEVrGt8ytolKqo7CZO Jw6v/rRJA6bCPtYApoISZo617EUaFqkmrLWLGgUDQvSakkH+KsXG1O6RmspnZYXtWLkgJ4zF lTasqiY/3GWtPAju1PQZ1eKsLhTU9NbVWOxGcmHmzDnvlJNOOPpXh55+yokn//rUObMvPfuc U2wuGx1gc4RzUhOjrDVRtSCVLMQLJl8Dgf3oR42NNX969KIzTzrj78/clggG2hrqp0xq6h9Y dNYZ37p4zh3XXHro+6+/pbcYM7GAHrWslGlsblPjhWiiRHRZuUhSgNFqSedz2UpfJy6T3CHu j7A0h8Xa2thEbXWaosFkIEEoGHFLsjihM9GAAYCQr1iZZCNUy7oYZ6W6jWwBHmJTFiQIDCS2 TazDCGmswNZQKjipsD6OZUWSLOB1wECMEKAO2mV/fq0aqVlnO4cwOKeDyiXIQMQ5EbfYyFEy LOCXeAXGF+TIq+GyJRRVACmh37I/VgfWq9Y/cU99jRYpEaNOPlVjldxdhdtgEgBUrK7p0Cis Zk3LOvq5Ym0uMyea1spz6iBIfsPEDLyF8StdvuEzajdLhXJnZuxgcPVsBpM/sVvYkU150sXw OKqGMkKTSxZ9ORReTTa03uestP2oC3f5fWabPp8hkIwJYNrELT988S9XnnXJs8/eoNgK3ZFg dzzcXxxq3sI1divz7Iu3vHjOQ88//fiv9tzblE0pDqyGCRSZfNGQL+TNFgTPUiIVJywgns8Z rLZcgarpaoNOWtoUctlQX//QULCWIP+SEg6pUrsabFpR5UVFgUtAN/AlceOIiwMoSowzAhjb gQ2gEsYiNgBIk51RmcRGJy5/Sb8R0YiF3SSbjV8lvJrDMZQhKwqBsjMrCGAcKByJ3QTVfJWU OK4HhDA4l1p15qjvvJKmKkIakh63IFEObBR+yD0CDL4iPYo9Q+xyDC4+KDFscA3cF+cSy9sm vZBuL03oMZ9V6JMNqBIIWpV4k7XwWKveABttQUtXIYxjGfSMShlYIgX4K7BaJIhGMVUUkErQ Z0UFGiZm1Oe99k/wql6Teik+b4PJ7NAbrMWClrAas9GSTWfgZF4zLQFXWtDfs1G6JuP/xH8Q iSQamlqUWBIuQEQMr3xR58JtZ+z/zlsvxGJ9kaS/qXXCyWdcfMJpN46fNt5Zr7F7M9ddtdcR Bx70+4ee8Ji8CIP5TJZHotVD/bG6Wl82mxoIBiwGndlqr+iB/CsFA/6GGg8FBmAf6lnXSqQI KpAg4ZucF9Ff/PQS3iKJLugMCGkSgQbZIWWxHcKFwvgJ6hSpDzwgs8FGIDVgI6gQWxmxeTLl T506VQgUemVAiS0AkOLoZEGKQ8dgcIDEZXAs43MxEm3A6TCaiW2jGtVWVdbZX4oTSFYCI7Cz aDUirYlSxxWKeYNxQA7yGJIbx4o8Jl4mxmT/db2umyxyxDZVpWzRRCBR0VKqBL9mUiPXWO1h obZ+IYtTjkXLx3rGRlWfgdtUdKA1+1d6QX5JC5MWVCivSkQU+L6BasxmIwYwmECdr+a88+fk CsXjTjjeXeuec+55isV8zx13Ej1H57FyILzDjJp8MGCzlIcGe0858cIdt95v88nTfn3cjQRN 19abdYaEDqnSXBsKAjufwdlQItUuF/K6naHBoLakqXN6MrmCi7a0KiloA/4ADgwaI03fYqbJ Zq6pryfdNEefzqwahwaJABhRBmRKFlKWeDM4g6RM82zYwg7cDusSSQCFic1NLE7yyRZWBE7s iT1NQtFEn2ELVAsw2EjlDeAEb4FAORcmPuKjGV/aoIuhWTgVeGYLIpZYqDmjpHBzuBQ0ZF38 knxyIDgXaVNUeUmIYCMxuJKewMVITSnyeRiWF8RGDhHFDPiJtDm6fPoT+NIww6On1I1ok0Iu qg8hGssmU++/9Y7TosYdX3nFpTj077z7jnQmf/a5s+GcR55wPDop1WM1WkN/VwBRyu1ytqKo GH1GbW0qagoPKSY93SaC6RyWLCZb+sEQZuKhDjQFAy1WqoEksoTiFIgHKMCAGxqb0QlofsZC 4nMkkfrz888Hk8llvav98VA4kzSZ1cJlQn8iaDE3MzHDEEQjBy3QnGR6IzJBXsKIWLhBqFAM UPAHjsWexmgQvdigAAzAgCiFKYm4BceAU0HKgIQtL774Ik8JBsIhYKx6GewPkkEOg4MWRpN4 U4EchwNpLhvK5mr55Nqkvgcb5XRybezMr1yt+HYxkSOYMaPxOrhBWA33Cyw5nEWkwWqogZgQ Rpf/EWaYGpkOoQ/RUHn6vHtVx9XqWuobSWejZTlQoTdTMp0nAcfucaYpck7pVzhINKHYXW1N DYqrNuqPdy7v1WvsqQjhccbGGlIPrM1NY+Ep7ePciqfW5qxVkhRVoyeaFR4K/cA1LQ61PFI4 GOpc2dHS1Bjy+7ErxBA/tMqYSVNJNiqoNliD3eWg8qyo7zLr88kFA5UXXniBy4aGxGUu7AKi lDACeA5bYKT8BI1KmJZk/3MIrAMpThypDF6VhQQGbIEnsC5ciFJAIjWJUUF4MuNIkRrIXapJ safwEC6V3UTTgNy5TX6CyhlEooREVBMugUFcUn1Y4RB2BiRyiMSYiuTGgHyCWw6smpjZR4wH o8v/CDNinOU9ibmG961OZkNDyVicsDGLyeyyOyxm1e6pIfgyV0gk6eupkJGtONy0j1JiGUx/ ylDcZm5025ubG9oJd6F+gF5n61md6OvNWG3NKcgmGCoRPUcPAlUd09LadnBwiGKbWO+8bl+N x2vIFVYvWmbRG216U3AggCufGrY2g6HBV5vI5vv6ey20sTUYcJuAEKhZqicCAGhL4mvEHyIF 0RHDgBrFluAqEkYpnET0ZknLkShJkCMlO9iNJyAGXCAkBm4RgSQ7jR0ELSK5iUOGLTw9fgIV IjRC3BzCmFwnu3EZUpuBXyX6hosXPw9gqFrw4HjbbrstQ8khXBhXziECVI7iankv8DFkNrHm 4ZISb2/VbjGKmf8RZngfEoIBEZBfQDcbMguee+65W2++5XK+/vYO1emWJc+ejjPaWJI8Mys6 FzpZZNWq1tYxJMTYzE6KADz3l3f6+3IPPvgA/obW1toF84dam7bWace73ZstWhpRXJa8NqrY 8qGhHmIAbCaqILT2LutULd6xdO+H8zCVmIyWVCyrxPPjmtt1eSUTCJVoJRuKaBLpMd7a4OAQ FEapTqFjECJsB0MWtwCBghMxN/GVRWYBNBx2gLBEWWdjVREXQU48M/KsqaPJDmIKEy+KDAWt 86tsFM0EkwBEDA75FToW8x0L1wNo2chJRfVnHzoQwhkACQXcoG9WwAaYf+WVV6rBlxxCWgdn r0ZqClCRMCWSmouUmpFoXHJVElbDJfGTHDW6fPoTGHZc84aG46FDcOLblrgP9kwlkkjfGZoo MZcbDYFI3OF2xJJpp82i2h+KtCqPGayW4/bf93d3/o6iOj/fd/eMluQZYy7jQCEvKqF0ZkDN YchRbUPzj47B8qq+o07+9T3PPFQ2Wct0I8QkksE+iG2DiLeYYrfiLgE15VhC48G8BhJTjlpH kSIE5TwnUgpZlPpAMCAeFaEYLhgkcM3SnYrLhnQEAGI4FjoW56YE8IukBKlJKLEke3L7CEUM y+DsUA1mES4E0YMEUTMYX2J5AKfEuSHOYQzgKIGN2K/EGs7pxKi1ruAkVyjaC8gHBlyemP7k OlkkVU54IyOznTOKHCjxbxLgzAVIxyG2S9D3Jo4ZMXCpWV6sqVYxCdMsMzERQ0btFrUW2JQt 9777oacfevQZchExlyGhqyEyRbvqq6nEy6gdXst6I+UClGitJ3jp7GOXL5hr0Gme+fNzX5oN QAz/vFdeuQCGxYqRl6pFqqNdzdkg0YU7sWMa47Vl0tjGcXNgCvSHo6eecNLJRx7dMmbqhCnb G60NYyaObR3fOH3GVJvdu8Mue7W1bz5pys4n/+jQY089IadLEdNG9aZMskDwWtqs9evy4VIq ZiRBp0AqTjITKriMhPhENHlTvYMYA0LeNFYMYslsEROT6sGsJlpCcBC0xAKzXQwAXCobRaZi u2BAJn4AIFq7QEJsa0hHcvuIUnLv8iuLcICqLCfOfshXjHWyM+sSZM1RcAChWjmvDCJeSNnI VUnsmcQ9cIjEoYntW9AoO3OPQE48MBK/LNvV91LJlhGTIBcj4UIsYsoDw2KLE2lN0F49dnTl S+Mz63+U0Kuwe0zdahipVgpwsqjkQJITEQDYcDs7baRrA2nVJ5ikqJTeaowM9dLY2FrjXfnh 4nHTtlayBsWJRkHkWJ93Qns2TdpMjdZm6I3GvC7edEzJp/19XVPGTxoKUbmimVIfAIuXbtRp KGZR77Jn4kF6dRQ1uEFVSAi2oSehQhH3RUwSd7vQihCcSDtCamwU1jQs6hFSZvDqUTLlV33w HxtNEFvlV7LC4eLrhJqFoPkq+pXAWwAp8QQCsKoT82Pjy5XINay7iMAmswbbWZFhRZ3bFJZN h89s8Gn+90vhG65W/tLJdIaSlJmsv6fX1t6m6DAUlxUasDc36sCGt9Y9ZYa1bmxsKDlu5++S NZ3HkpCKF/Iab+uEoW4KxFiMJh1RMnUuZyDiB5kOi2Xy+PGRVNDj9cRL8YxSHIwGqICWzhfd bpdRr6FgTSYeIadUGEt1HhWoVKmkSpFCPULTECKLbIHOvoC6XCVEIfd16XK9j44d4BKgmmsT niMW/CqVy4qMI1Cvrldv55OQ+DxEX8WhoG7dk36ew7/2+wxvsvwij4M4gcqf+ibWxjWovQWI B7Fb8dDXNreoeZhmE7owKTWK04aoruSLl51zYTyScY6frqSywUjM0NKop5qZ1aEYnCZbrdFC 485iKhwshuK+ZLE2pzFHY7psxpamAVtRT2lBRePQGQnJMhdKHe9/1LNgiRKMUOBZ7S9VCRhb FwMiBQmtVKdt+VoNMBPP5rqS57CeRpUQq6eQE21oEInlEU4oWgdfhYEIJ5HPTy6yv+C8an6o AlWgVV0+ub0KErlOHhQ3LhLm6CJPYCPLZupMWBGv18Qs/B+J0K7YoFU779lcdjRfE7IZpdP0 av5cMBjyeetvv+7WE087XckVc8mI3kj7gZIRyaqk0+gIMyP0S5svZA1l/Yl7/HhGc3twcGUy HfJ4rb2hwSTBDlanzlXXPRjJZkrTJ0ywUHY3Fi6GBp2NtRc9+STeDZFwZAYV2hWpRqZq2chV V40B8rDkp+rOX4CGGL961GcyAVR8UbcEz+t+XfPy/htycvGycxU5617khs6+7vYqMuV+BXtf 4E6/ukO+DrIZlT8qrKb6gitR2kYKFpYUAKNWBjGaEN4h5WguE0qmKF4+6B888azTQ4MB1BGj 06d1uI1o28QFm8nUUfRmLWU2VKd1LluvtRz3o0POv+G2Kx949KxTz7j5gYfuev5vd9933+8f fvj5V1585ZWXv7/3Pqedcuo5p512/VVXdK9YgXVOZlCZs6vkIpQhnKRKJWI9q0pin0ck+9hE Xv1apfINEfQniUy09ir1r6vErxcScvFy/esFZPXUH/t13e3ccvXX9Z7lqwPDSDnzRp9C1ib7 rHPDktmA/begsiA08rxSos8n5lst/ThsTtJJfXU155x/hrPGUak4Q8Z8BFInozqWorZakQGo xWN3uECbCkUK1tR6D99688suOf+YH+ylpEJKjWUwPDCYTdzy+P1/euvVms3H3/rkH6+997dj t5qOQbEq/VeZRlWlVjni2tla1vlE/xa0VK1S1RE+iZBPf7Hr7i97fgrGxNMvu0kg36fsX9XH PjZs9XqqCs+6N1sdUDZWJwXRZGRMWUYKwY6A69jomFnPPVYiTclTMFgNycQaY6jDakukEmor DbUrgK5/aPDyyy/Xmw2pNNlsSm2dG5Dw4qAbq1EXDMUYFr1Xyab9oT7Faz9t1pYtzXVGc7mp vWHLLTZTjEVjg+Oxvz89t2PBlTdeU9aVL7nhqnNuu3ZF/yowA0izhB4U8yKDQRlQZC6jWlfX WFpJwiHokS4I6m5Fon6KyI2lMisqzgE8RjvVarCeZUPvVDR1+ayurEuUHwOP2Nmqwfmysq6u L0OJ0Y/LX5fE5bLkRGKAllurfsrKerfL1CA7CIS4MLmY0UWewEbHjFgA1FNVkwgqgdo6C/0I 8jqDNptJkQxVLuR9VnsplYzjcFS0LXUtl118BeqGyQInoUhgioPCgWA5nyNXhph/RiSCmega AtCU8Oqbnn8iF+t7918fLl38wYeL3kyV4VrZ7oHVhLT5zCYj/XGoNhiP1TfW5dCCqGZNqyhS dyiT47AlE5TuN5otJq5ExaSdxB9jZ093WUfNULU2ko2yMk1Nbqdz1112sVpUPwzhc8h2lAPl j73Ecx+J0cddBaG4NYkeEFM1tQFE2mEo4l+Ee3CIWLfZX2ICWJEWIGyUNB719VQWCXYmUEBE LxlHIITAxp5slCwgCfnhEAGSnELGF7NH1XLAbhyOP4pLxcvE/iL7MZrYtTFS86uUBNmQQfyb iaKNjpn/eqzrwCaVTpGTphIreSbQU77gHxh4/OFHHrzvjw/cd9/5511AE/M777zztNNOmXPR nKf+9JjqFbGY8IeSKZdOJXp7enjNZIkmYwHFZVC6VgCkJ+f949F33ixpS0TlJEu5E3590q23 /zYWTdJwnIwDilsN+oN0iuaei7lsX28v6ozaVN3lhnVAbmu0FyLKNNrxY8dDf+K3MZqMg7RC DwRe+NvzuHYwXVAVJhwI4PlXi3TGYvjRsSypMKgQNKTPJE3sDLdG7D0R00L9xJLRqlaKQbMD rncmciIJ1CaOdrtUMsDlT+SbxFKoBpJKBCfXQNQMgZuSu8/pGAc3P5TNRjFUcFIeEfszjlST YRApyMSw4q5lN8YHEoIfDufUBKSxzoFgm1uQbFNunOvkV5BPrNBnmiu+UeD532JmnUcrBCqe O7FvQmEErh977LE//elPzzrrLFreHnfccXQlOO+883ivvEIIC8ogdIowLeILeZdat7up1ldY sLAw2H/J1Vcq8VTf2+/Nn7981Yq+t9/8aPHSriOPPSmjNXrGTiBrU3HWkxinZAoRf8hpc00c PzkRidfX+JLULMznrA5Xf98g9DRjsxkkq4UCfp/TjfoPJ5k0eQqxkEg/pE+r7IJIUXo+U2Gs Uo+XDp1cD5GOxKG2NLdIHQ8IlChJgvmlyIbQHNyD8ckwg5rZAgwAgERJsyJFoiFuwtX4Vepj CHcCP4RUSpAydEwYNTkIEqfMChtZkZI0jD9r1izAJsEEcC2uRHYGCWwkOIgVkMPOPFUOJARB eBo9fcUuwvXDtap5AezJY/9GoeLTb/YrwwxvBWLiZbAi8oZMh1LzDjJigiS6nlfIy+PdS5VK aBRClHesFpfoWFkIRm6+7IrH7n/wkgvmJFd2vfvW3Befe6W9buyYmnFWxdZU2+52GqKDUcVZ W+yPxPqiisbg8dakQhFon7P4A0HK7KFnIAEilUGmhAbX+mrcThcR2VYjFQW0i5cuURMJTEYc h2ptn1LZV1sDLUfCYagT2R88M9+zD3ky4AcCBQNkwhAuCbOSCBcuWDp5wASILpMbkQoyrHN3 BE1C3xJqTdg125kUIG4pA8Az4fnwuIAiNL3bbrvBc0TfkJQEAMBjZGceGhcgNT3AAwxwxx13 5BAeo9TalQI33NeWW27JWdifwxmZi5dQA0nqBO2wShEvN/0gtC8T8l8ZZmT6/FhkhwQI8xPi O2QnfctY4S2qSQSVEHrhTmJQctfU+HTGKTWNvUtXOE3OD9+d/4Mf/PTMi2/UhcqP3Xb/dede GekNkd3toqdALKdz1Ps0ViWFlU6bRd/Jl4x6U1Nzi98f1Oj0/nCIXM7OLjVynhMZDUZV80XK t5hXd3cBksbmJovNil8WvhRPoiIkneTHuV1ImHW1dZFQOBqO0MoR+mYi5/rBP9cvgVtMBNWw A26BBeqEqQIA+BI3AjyEvrk1vj7//POS3iz3K2X+GE1abzMm9C3Xya/AkodGn3sxA/KggCLg 4XBwCHh4VvAoQMINkQ4k7Igtkj8Dm6KcCKgAJBJFCv7BGG8HkLMntyPdfEcXeQJfGWakIoQI 7rx1AQ8vlTckhYV4i1JdhXfM9ptvvpm3fu2110I3jz32GDtcf/31TPYc/srbb+apFOhy7nzs sUpDixIgerru0jmXHX/s8XVNjRnqr6lVOnJKMa8WY6d9T2+fh87MJOjHovwZLOYcnXActkwp X9vYoNWryfGrOzsdLjWPBSm/taW1f3AA6QszGkymubXFbuM/eyii8hnIq6e721dTQ64MV8OE DQWzSK1k7gK0sA9fAYAUtuS+uGzunUWQwL3DjiQ5lCmDA1kXaY3DYbNyIjqrwV15IBIqCtGD HPAp2c5SYoqF64erCIPiUwq7iZ0AyZbHqIqUlaN48jATcukAGyOznZG5Zak5KrYHPqX21ejy FWOGFyYWTMiLVyWWGSY23jfUwOwrDAcKE4WV5gXsc+qpp6KV/vznP5d1AnS7UrEbly88/7Xn T7/n90q9D19NCVJzW5NG7VtL5yWMuYFituRRspr4OSf+0l5rJ1/A6fYQQdPf24fzNFssxTHj 6vSFcomsHvqnh0JBt4dfyGOjFY8RKR8Poc3ucLrcKSr0hQJRhCIi7RNxj9dHkjEU3FJJjHnv 7bdBO/cl0r+kNEtCJeQokcvQH+lfrECpkCPzNztLfg7IER1PLFqsiOglswk/MeBLL73EY2FP qQqAFUHkKKF1BmQfKVog9mIeYLUnDw+WeQo0MhFImhAHwr64NumAgHTHV66QW+YVSHcQgMpQ o7LZuvPFV8ZnxMbKpcBJmCx5Z5ACGyVLRPofsZFpUipKim9ePqvvm/o5Opo6+YdIQlBamyJ0 VIYU7LZYJu9w6w/75SE1Da7Lr7ggmvZrDDlfva13sDM10Ie3nNm8sbUZQas/MDR2/DgMZUaD xWK30TctRi0olVKNBMQL1WJMLpeKFCKAcKEejHeRuDqjw7PYSCwPKMqk09vMmhWi+lFencIl KwZGASQ4CuRzLxAxKcegRVpHwQrAmMz60pkdGuVR8ByqMQqSMSrJfDwH1B4pkSPGNKDF8wED IBMSBw9SUxOcULpAaqhzIoRABgRIjIYdTwzWUsBA6n5wdslIV4VSo5HTCXuXW2AL1z/KZKpP 4CvDDFcg8JDMJxamW3DCV/H0MYkyDUNSzKmQoMzB62anqFv0hoLBrBitit2tmOwUGTCZnUy0 +CmZnD1G5VcHH3Drlef7Vy40luK1Dm0pE7M21FCaIJ2h1DNpo7lMLj3gH7B7HXUtdSgZaUI8 9YZEMoYlraGJ5s9aHJvAwOOC97ggR5tRpd1KiVczFf70OrU7tJAsl8dPEDTUCf1xd2ADjAkj 5Wq5QUgTFEkpcQ6B3OE/VXMIG/mVewQ2PAEOhMTZWUpGSfsn2JRITYzJs2JFmABHiahWZS/s LAVo+OSoanU1DhceXr1gsMdlq/aMSu4Ag3C12AYYUwrejvKZEcFnRPaoBmvI20UZveqqq7Av kxp9+umnf/TRR3PmzLn33nsltWt9C/VqTIqzLr96UInkrBpLZCDg0JjtRpMhW8RbqRnq98/9 KLZsaXDRYkMiVedyxHq7KE1AZnU6qxYsrnH5goMD8VCov7trZc/qbCZe0XlKFqvZP9QfCYcK 7BeLdyxbjpZfzKmpN0QMcLWRWIQKU1wSszISmprgmVcJTqZtRpZetpAmLEK8hzRgZF0M65Jy zO2zG59iP2Q09A3UHkACbKQeAM2ixf7Lgez82muvcSBbQIuYFtCUuJ5q41shdIGceFpAMioK V8VGdpZKA2Kvq+KHfUSklAJrYFtM2KxwqdXst1Fuo8odX+FTkLgVEbfEG0AlriuvvPK00077 wQ9+AJ9BsKb1Gq0L99577/VfJ11CopRXtxnMtUqG0roUD9QpgZgyGFa6+6254gSnb5LZtW1N iyWUUkKpQjTtHDOGXEwo3mYx45zRFHM2ckipT1AuI7u4UB5yqTTtO0kiLRbcPq+Zop9mm9tC GQMjnaSIfIbUPE5VmMzms+GIWidtRUeHCv5KZVeaOfGTWL1wjLAzYAAz0B9UKD0whJqBAfcu ComAjRVmdLYwtUuVTeG0DIt/BkYhQhfbkcFkWHaAn8AA0YiEy3FGyQYVPwyH8yQhfbG1IA2K txQIcRYwwyEIbwAVxgjAxLrAdk4qpnNuUGa00UWewMbPBdjAk5bJkh8lUkOS18XvLkoq7xuy 4MWzD9s/OdWpI2QLR+2yx+bjJw/Goiso6d3Y4PK4hwb6PU6btpTXlnOxsD8y1N9WX9tEQTPq Ize1nPLok5FU2lJRgnMEFMTjKOBFuioSBKpUWgK2tRJtonHY+js6GsdPLsUyWiJBbRYaaPmD AW9dbVdfT0tbGypQX39fS6OaRp+icTS9x/oHahobCPPCFid6MzconhkpliByDnck0qbIYEKp ULYwDZnapTQUu/Fr1c0vAhK0LoAEfvzKyGyHiXE7EggDfpAJpbS0RJdKeimPS+RbefJ8shtQ lPeDAUCsFAzLsQwlTx7mI3Z/OXZTWDZ6LsBXhpmPVZmQryK38Pp5SX/4wx+OP/54qdsvCs/H Xpj67kkJiMTDfYMUZKIQLenT6UImlUm63PZCNmUl2hPFhR7ozc2YlnKBkN7t7kqmXQ11Hips lJVcKGx0ORM9vXZqTdBBoFwKLl3smzJJCQURmzR1vlTvoNnoJtpaLdbrsJfzWY3FhFtTLWZQ wQM+SGQkn9uLDYAO9LhrLOQAa1T7GMxEZmjWxeMEEbORiYAVqSYDxXN3cA9RdaomECZ4mAMa hbhlRJZjXUJpoG9EQUECkJDSz6yLdCeddEVdYWEHLoBzyXaOZUCZksCGWOGk+CDGCQYX/sZj 53TigeXVwMo2BbSsuePK/zaFGhrDfaZVTUZmPtGDJZtX9OCjjjoK0hGH5icBs+bx4JW3GT2T x2pqPRpy18pFjclQO2lcVMmbat1q1qfNYalpUKxexV6rtE3StowdM20agMknkqVYvEA8wcCQ ncDpTC763kfKqi5ffZPS00eWKG3dcytXWQ1GLc2iCfGkA24mO9jX7+/uVYPTEklMyBAT8zE1 O6m7QX/A+pZmFBvW2cgdQZEAAypnRYQlqJavHCUsgq8AhsleogEkJEzoFfsYW/A/8pPoQpAv O4uBRMwGKn+raO1gQHwv0Lfgh+1yFPuACgDDUVIuh2PZGa0GviEaP+diN1Xg9BAPpBbmhB/C u1S/U08PJxXGONz3+zXe/yvTZ0QcF7SIuC+GTihGNP4LL7yQ1ymVJsU7/skFxpKHAxh0eEPz sailtsZaUxNPxO558H66oiuYBzCpeRuVgjFftqasDoKQI9FklmL7mWx0aOiy8y484bAjb7jw oqP3/P5Nl1x+80WXHrvXPmcccdQpvzhsztmzTzr6V2edcMLpx/xqn933oOY1KTt1Hl9tUzOx pGAAixmqjkrHmbSoZL0EodAYvdKLU9QzZgE+oV3hIVAkVMshUCRELB3RhI1AwXAAuA1kKonE UDbQYn/htHLvYk6AghlfpCZ5MhIXw24SNcNuDCiPVIyTIoyxiH0PrYbtTEaMz9Ui74n0BU5E JGMBrlIKXZw/X2MMDPfWvjLMQBNiFRVfBNfNOwMz0BOzIF+vueaaRYsWyfsWh8x6Fyb4YDio WExqyzbswilqc2TOPPOcotpPgYbpBsVoyhaKTLkag9rZjfKzRW1JrYlU19C/fNnl58/+3h7f vfiKy044/bQDfnrIaWedffnV1/kaWi+94bbZ5134qyOOOfJHP95l5ky6EZIxTbFpavXV1tUB gFA0UlQKFrOJWvPUt8GZ09zWBjgQ0oCTQaePRaI+r09tblVW/Zuij4nZQ1z+QtZiaucTDsDT YJoQyEnoCtTPlfKgxALGc+BXKFiAx4CQvkRRsBtjQt/sIM9W6qoJi+CruF/gZtXgS0CLgMdP YFX0LtGj2EccMhKlwbmqkt5wyetruf9XhhmeJm9xXR+lPF9eD7MgK9iaiXgXUMns+LFFsERy TixOYHJG47TSlErntPl8tefOPldTInvNhH8TuYMO006X1lAsJ4mVyUd1dhR6tXzU5KYaczHt rnOHdcqKXGZAr0tajcuHgrbWqQWjL1LQup2ediONCgaS6UgyHzf63PTE6OvpV+1jNpXIqLaH 95OkrHxRDZe2WO2U1KFSOoXdqLUMhNTbpEplKq2GQ8MRK22b2CgUzy3IFF4tgyb3WH0yAjOO Ys+qFeRjkmq1ViDELbGtHCWf7Cl8Q2Q5Aca6tQVlT7kkOZdMT1UFRg6v7vDJt/AN3PJVYma9 j5vXLOEzN954o8gMwGbD/pk1LWOJGUvms1qzmqCGi+Paq68jmBgRhlTDVCEXTkTURjnFbIPL aTeYo7Rt0hgSHasyAf9Q96oEqotep63xhuh72NpS9rrm9fWvjMX19XX+WLSUSHoMWltrk85i CAypET1Nrc06g2pvwI+Dmh6PhK02CyBx13gHunrgAiqXyOZ8dXVGvWEIZzyZKmur+30DKezr d8sjDjM8YpHgCcFkkmOGQ+YGPBt69AThIn7gAkc4QRlA0sDnzbFSDxYE8olFVQxBiIDGshLv GiDY2d401mty/OvFV5958s/PPvvsI088/uzLL11z+y03/OGOjM1gG9M4UExFdUWz046ynujq Zj4m8NlXX7t4wSIsX2qoi9G4++67I+QBHn/AT+LAzjvvjMujFp8GET1wSJORLp5qQYsNy5Zf P5L62t/RiMMMEjmSPcIYnk0RG0BO1Y3wyfchqECWIIjzvvvuu/XWW1lBuyXHk1DoiysLRC/4 wYKcjCfGT52mxOJKPodzca999zvyuF9tvs02B/3857vusTvrhxz2c6PdGk4m6HmJFS4cU41I dmr+ExBNcnUmP3WzaU2NTaA0k8vh2i+Uc8tXrvDV1CKevfvB++FINJ3N9PuHiENjxUyR6IqQ 9LWnpG/ODY44zAASyBE19IYbbhB3DRRfLcL/yRcDAxHHNgkkRAwQ7Ey+ALrQueeei3sH/KAb wBMQ9OFCgViEHAMaF+atRsVh1vpcitPyxycfP+KE43baYdbhRx39yiuv2cg/oLEhKTLBcCmX J/xMjSyuhPm4PB6AlyB1ra+P8JvBkNqkEqVf7RA40I+j01PrM1LckKpqStnudGCfIM1m6rRp pNysKYew7g2spyTPN4fwNuE7HXGYASeQIHzm5JNPFpMaclq1yPcnnzRMAMLlky4xLBwCxqBy LD+qMFZJ80QpAnVYh8hDjuVT/ZGgHg0+m4tjJ05nZ207658vvfbee3P/8tiTs6bN1KZyjpKu weI0JHNTGttotqvac3VU/BB7t8buctbV1NLitMFb77DZAYbVTIaXjRyb3t4+It2CJFfa7B6f mjUNq1yybCklbDZhGhm99P9+AiMOMxKjAQZgFGJNwo0tsVjrXRDDwAmfOLPp/IqLEK4Cs0Ja Ey87kp50XFEd8FpjLBBpdtdnQgnF5plQ12IvGv717AsHfnuvvbfd+dDv7ffaE39p0dpSK3ub FcsEs7dn7hKK0KhZipV4SsrNqHa9dI6CASa9zuFxqD2Ze3rUC7Y70bu22mZru4ueSi02p/3t d9/BMkC4QFNLC3mbo0zlawO9EYcZyF1Ca2+66SYi4eVBf8w8uu7Tl65gII0FspZelug/kswo HsBHH30U2CDsQesP3Xd/LpW58crrlFBksLsX0/CpJ55y7z33YAb467PPHXLIIXTIARcULPQH h4heozs4lY4ovo6tTI0XJqbGbCTYLF8odneuph5NXU3NUGAomU7CHgcH1Q7JNOboXt01tn1M qaw2uFRrKWk36F/62lDSN+dGRhxmJOoEPoNOIk3wsAFI8O+GFqAl7SxBmizsL9kpEl1CWDTS GsIeju2Tjj+BGkvnn3c+JTPQ73UW0zkXn//LE4/Z65ADZu29293PPtaRDCitvl5dtkuTyLpN oVTE6fMkh4gCNmIQE45nNVtQ6unMgQeGQoENNXV2i62fJLmi2ry9p6cbkxol0Ugu87rcYaL9 SU3jsLUNCNbcCG1F1Oban7GI//6z9lpTLlB2Y6bgrj8WnSTjfJ6hPvNc3/AdRhxmhuufgTJI foSUkdAAhgQykngjyfF8RUKDA0hkJIObXY5lVG124OMrGJ0YlS1X3HDtHx66/4E/PfrMy8+f ceF5/bFgKBsvmDTulvpIPlnSa11ej40Cf+V8PB6jIJKSzcNVkok4ypbFhi2AHshDVN7cbMo0 StUM9A6MaWlFz1mxvKOpoXFwYGDmjM0p+ASdcXZ44Lr+wWpIS5WgP0nZEgLzmWTKsNXd5Cwf O5GM83mG+sxzfcN3GHGY4X0Myz8DZeDEBDAwJQ6UckdbbLEFnAf6kJJFqg6STqvFazLpcD5t a60vm4mzDOs99sVdHdfceuMe++73gx/u/4M9977yisu05ZLHbkkE/URwlkgjs1oGQ4FYKBBJ xIEg7W9Rmca2j0XwIxA4OjCEa9Pr9hC1SdkNn9e97ZZbERLDHzVogv4A3s4F8+Y7HU6JA1h3 UTd8Nha+IH2OYuMLPrjPcdiIw8xw/TNEDBD/CzBAxYMPPnj++edTlYZkTxI8SV975plnCJuH 20DicCGLxYZaUiwXevuGrG6nxWRoa2o8/JBDgqtX/uuZ5+e9884xP/zJRJu3qWyaYPFYA4np dc3ElJe0GmeNz+PwYkHOJFP1bS3zPvyIhOem+kYXTapz+WwyRXTzUG9/Nl9ctawjEyOZudy9 fIXPV+OgCXswpL4I5KsKE4Exqp9rv1en/4+tfI53998I/ASrWnOiipW8KpLJBawrtg33RKP7 jzjMDNc/I0m/AOZHP/oRblA8mPvuuy9i2KWXXooCs99++7EdboOoBroS8bBNo6+12Fugda0+ tLzLEEm6U8V3//y8LZCw9oTHZQ1tybJ9hd/WG99W7wm+OTdN9UCjnrxOKsGYKjHLyVDE7HSu ycGiFDglmxVNMhLVabSFaCKfzuipx15SWtvHqFFtJPiAmbUcRkSmKnvBlvBlkeC6kti6stnH RLJRCe3//4F/ZTlnG7p0qaYlxYiZFCUxS+oVbWgBMNVgdWkcDWVgAFC1l8qB1QpdoXgYRQV1 pNnWqPQP3nzMz+kWmLK4jL56fyxBoXVnjj5QumzBZjaa4oGVTXVeYpYTbvMJ996esVk0sXKt 1U3vGxoTDgX66bOuJCmbVlRsViVbUsi0qaj04e4uT1sbCag9XavrmxoNGJpzWY3JqFZ7V9Ua EdMqNTnV0Ov1L7CCj6kfwkg2JHSNCmNrn+PXN09zQwCAVtSZuFzGboa5WdQbCGJD5mZJipaK EywoG/guqcKhVj+roIVFsoXBTzKfzhu0BkVnK+vTy1daykl6DChaI7Gc5traob7eOoKUU7lY zsBleHwGhVL/OlpPZ8tTx61MhD2K02t1AoxEOGSvdVNNQ4mTHp20El2GwYxkA7LTtLpCMq6n fQAxZuAEY3cybqUcpmpTgyERgqPmDqjCkqq2a2mwtt5HIc9hXe4hMtWG0iLEnCBIk6Pkq9Tx qMpjMqbsvN7zbvrY2+iY+dJkg/9/licj8EaH5Z8BMOLjl1oqYhw7+uijJTmH0XBr4q6RlBKK LnPD/qgf6cgytk3lD/STqasx1fn4zd7ckDYZNOPbXVPHmdrrE7CAtmaluUGpb8wWsg0UFKQL QDxBnw6yVwqdq6OLl2gKWVOxkOgdygfCSiCcGRzM9HYRJK0k0n0LFinJuBIctMajyWVLSQVV stiAS0iShRxVorLFXJGMnA0tHzOgfaaluFIod83CGcTcLBZnPqs/sSIbN7R8We/xazzOiMMM xDEs/4zktasSUTgMHeCBgaug/Qt4qpUfKiUryOfUWhUD8hWVLnLZTM7sVBralJKuoKFBBtUn 3GWz89JLrsCeYKIoRkNbQWdVzDbF5dTrjGSswSLsTrsGGSyZu+KAg+8/8aTZB/3oklNOuvmM 8y/65QnH7f+DS4hwO/yX1x173Bk/+emN55x79am/Ouuwn1z3i5/dedLJSjJbypW0Om2/P0A7 EJLVErEUfXSIeZZGMSxSUBxRU2qGsC6ZnixSXkPS0VDh4K7crJTIYLuY2iWxTGRahmI3iR5i 4SvrSK0E3TGIpK8xofCJ9U/W2YcBv8a0/mXd2ojDDC94WPkzAEYSD6EJ3j1vHcoAM+sXPNha KJk0aiaj0W431tQqNII22wwWeyZDS7Oy1en59Wln2hx24iwpGagx2fN6XVZLMQ76s6s9CdWY M6SaUrHeoP/ht3ebPGnszt/91oRJk7bbftbxp56043d23ueH+zrqvbt89zsH/vzgyZtNnDJt 7Pd33SHe203GqNZqjKdzxG7S0KaUztS4XQh3Q4NqzDWpqVTSYAW7OVKouJUwXUhPCzXFrdKS iRU0N9DFPlVyl8rXUp0DLDEOqABLZE2LqV2K3bAdaIkvC4RQn0kiX6WLgdoLpGJa/LII62s8 zojDjCgwnz9/RihGWhRVJRBi1Tb0zoT5QCVSihICIpoTUoOqqKLPdszTlOHjAlQQamkjrehL 5Kup0r9abFZFj1bRa62tjUvCQ0dce6lv5uTvHfeL/U479vz7frv9L38865c/+eHZJ+565MH3 //Pv7i0m73LQATVTJ9ia6xSbqaNjZVGr5jknI2FVjcmXs4lMY2Mtcz+pqVJck+QfqbvJTUHZ rEPHqiZGcVCtlo1qSLXdjq+JfXBJif1DSisBFSRVQuBIN6pSv1ReBjxkTXN3YhphT6k1I4vY 6xlkXfXpa0z0/5+3NuIwM1z/DBQD9UMERNDwCT1BWPhnNvRcRNphwkaAkQmbaE5IjY3QDdPz EUccgXYk6hCchwdECLOqWKtmLtXKVeRDr3lrwUcD6US+mOtOJf769pt/ev2fTVvOWBGPvDTv g1cWzvvrO28GlOJQLrPc37/SP5jAAJCIN7S1WCxGVFTukZxmGoc6POZEPAk1g1tIFlYANsTK J7WYpa4fCytSnAm2INxGSnNILI8U2cD+AfyYcUR/YwuXLaF3fGVPCYxgZ8nSYygpHs0OnFFk vP9PevomHD7iMDNc/4zwGYhJOophQIOkaI22oZdXnUrXnVM5SqzbYIYaUbhBIS+qYFZ0gYqt S1qOS+6YCiPtdjvuNH3LLQ4+7PDnX3751TfffvTPzxjszstuuOGuhx5esqrrry+/2jhu/Ire /u7+oUy+YLLY0MmpxZlI4/YsuHy+XCxSSGRMBjNAZWCJKIVFgA2Z8sGzmLb4SSAtIGdnwMMt g3auVhqNsJHrl3ZRUmlgwYIFUkJNGnXAxzicwQEkkwsjEE9EU07ulOfGnsiEUmP6m0D0/5/3 OOIwM9z8GchC4ppReSF0WAT0tCF9RqZeoT8+OZCjqONKUDMlCPGHEvu89dZbU4oA6Y7KyGR9 VpwpFcFM/ayIaKqnsrxy2YpCOn/5RZddfdnVhx38swvPvtDfO3jFnCtuvOK63Xfe/dzTZxNm 01rXMnPa5nazrZgp6FzeXJp2tqZQOKCU8tTXsXud2UIGZDIyZWmlj5J0w6xq/9IrgUVIXzX9 VYANM6G2E/AQ7V9aJ6CiAAZGY2cqX0vFDB4IY0pFNfgYgwMStiPdAVHSHKRkIUBl43prlfx/ UtjX7/ARh5nh5s9ALkCFuVZKpIqiQsLmhl4VpMkO7MZRoIuJmXwbBjnjjDOOPPJIGNQvf/lL VsAMbT2hUQqbUayyXMpXAk4IeVG02AHyiltnCazoGudpeP2Zf9x7zW2ZzkF3Rt+kcRZ7Y1ed en6mK1Toi5pjBWtaM6m+rRhJKMGoxaCJx5KNNQ2qiOW0ZvI52pw53U4kJboISmlz7gJuwJQP B2AdDIjJmBW+slHgBFrIC2KFLZA+AhgSFyoKN8IOIFDKLwkOuUfJ3uMo1sWYRh0FvlYLcAJC dhaGNrp8+hMYcZgZrn9GCqhCz6opuZJ8Bue5/PLLN3TbUtBIBDNJvRRzExM2pAbpiOYg1ZZV lUb9W+PM4P8qpyGKBiTli2Ob2tOhaCGe+tVhR2UicU2q4NKZV85fev0lV2kTBbvGVE7l+dVU 1BVT1OxwRv0Rr9OWyiZ0Rn08VUI5am6th+1xOgAgRmS5C04Nr4AJ0PMZRLGwwlc2cinggX3Y KDmqsBcRz7gXcIX3lqEwA/AoYClS+08q3Eq1NGlfjqWOO+XGxVwmBX6ZTUYB85lPYMRh5gv4 Z5gdITWmWEgHhR7x41P0GUgNwEBJwEPsAVASmoCELQoVohZLYIFUkQRUugrM+Ao5qq2mjNQ0 UyuAAleO/c9//qPGoSWT6Co1dXU333JLQ3MTJFjpkaYdGhxU67tS+6/iea+U2E1PmtLS29eL azUSibERuucTJoAQxRUyOFfFmBA6l8SJ2AHKltgZ4C3eW7l+mTLYIpZlwT93x2ORQjxgUuxp TBbgh3G4KdYxA0gtXA6X0oSjmPlMwLDDiMPMRvXPcMOSvCnuP4iJLZALs7LkDrAFKj/ooIOQ 76V49K0330II86WXXALV/ulPf7LaLb+54zdKsRCIR4YSoZatZ5pr3a+8+3rJZmyeNm6I0hva oqulfllf14rB3vkrl0Vz6dbNpnb191Aa0FnrHgiEnHYXeFi2rAdZjGhsTqEmF4wdCxS5DCnG xxYAIO5amI/Ymrk8oM4n3AMsQd/swBbYjnTeBAawC8aZPHkyKj5jCsaAHFyFu5a+NJyCoziE W5bgGsEVVzKqz2ySmOGiN7Z/hllWirhKjAkogldwUugJWoS8aFspkz2pY+eccSah/nPOmzNh wsTvfm8PLMHnXDRb0eR941riutLr773+1ooFs2++srsYT3j0QUsxYC7sedQhuRpLqc4+8zs7 108Z+96C9631XiWXRhijYfqH899X5aiSKpIhFQmXw2wFoYMQYWts4VfIWrQRUD1r1iyuRzo9 YfjCDiaMSMomgjHBBvclDkpMCywoLUwB3BT3yE9ARRqtMQK8SPLw2IGhQCYglAqmo8smps9s bP+MyGAQCrQlohfUJvQkOdLo08zrYqjFpIZAhZuE4K3KRG4kaTmPPmM1B6LBkq7cOr69rq3h 2ltvNLrMHyyay6ez0XfxNZfndGWD3fSfD95+f/7cqZtPy5XyBIPSFs3lsG82Y8aq1avy5biW lAF1TJXVwxOwDkO78BPIWoosc5FwAEiZ68EuLF4arpDd0EngKqzzySESF8O9cCxsByQgiSGY IemxkXUEPNYZcPr06YidqP7SjwBeyvg8B5iPPJnR5TOfwIiTzTa2f4YnAkjEegadQW3QmYqN iszDr6KxiKeCeTesyjMq+Q709VJFM53NEtPCGG67LR4ON9Z6U7Hor489eqina8dttjJqysV0 8leHH1ZL+0F6caaT0yaNH+jpiQT8qEDEASQyKWxwapPNVCJfyNEeHYYnxgaYjNRqw9jNhQFg kINCDzeAprlgwCC0zjWzIhEMXCHyGJfHV2kNIJ1qwMCuu+4qsWSAiqNE6nvjjTeozgOovve9 74FSTidqEj+xIu0BR5dPfwJfn/wZpAsR62EgGwqY51dpDiX1aCQ+hY0PPfQQHSehXdQACAgO g2CD4o6CfsH551EYHU86ql9vJIlW4jOZC6u6bjr6sCmbjX9hqCOsNXptraFIonFMw+Kli+rq Gmo9db0d/Q313n1+sIs+POTt9L/1xge/+sP9SoMvp8XqlqP/YDaXKWvtOVp8GEwGvRZi5Xpg cRAxchoMREgc2Yx7EUkSSAAVoC52MPYE2IsXL8akxp4SvMxDEHsxABC0iNdfYgiYDgSf3CDq Gafj9iX1SPw8ouBt4ss3LxdgY/tnIB1oAvqQE0l/qAMOOODqq68m4uawww47/PDDCZ/Bw0NC wfkXnBcn48ZsStLmOZch799JYkwqr3fSSK28TfuEUw78xb2XX/+bC6687ZRzfeHs335793XH nXrdmXMevvIWTyRbm1EK3YObz9hmaNkKytykBkPFfK6nv7uglAxGcygRI+W6SDpNJUwG5gOe sWWhhAAYiFhiT7k8icsUKwUUj7bDntKDSer2AxUgJIoZIGEBP+BNoMXg3CasRqxkYmImsE3C AmBi4vHkRNLmaXTZxPgMlytebWgI+UQqY3x6r20oQMw+HCsNwT/lniXMXswAkCBztjQdqDYn lJh8aT6RyWUVnYkUgnTKb7faM2WNSWMuBmOg7eI9v5tNR71bTn938fIWb7vL7pm/6MPGFjqW lUp5jcPgzRXSKSXs0hXHaU2DgfhFL76qgDcbKW6FxMAqO+0EtZZ0vkTX22ImZzBb0K505B0U CqlkzGyzas16cntKiTQJQPjxbS433W3he26X2n9TZCruQozOcvFQPBvFZCzXzwq3KSUR+crO HMJXsS5IaTgJFxAb3aez6E0ESxudz4w42UzMo7we8jSJYeEr9MGku6F2GuvmzwAtSETyZz4l fObzv3uC/jOFHGmjKOoEm6mmefLYaOKZL9BzUzGAHbo3F3QlIncidc2NyWjAZNXpNSYlZSJF p2zD1ZjVktZmcSSKeruvTinR1rOPGlF0/FCa2mmSVIiE9A5XcSik89UqyYyaKW3SF/OJollr pJLgYFxxOIt6dCB7WaNqPrl0xmZV29nChYA3j0ViZzZUnpdHBw8BPJJvA2/hqHWzwUWZqX5+ ilj7+Z/bV7rnRsfMiLMBbGz/zLBepxrJrClp1KIXNIdSQ5vVGkzkI5NQ09RMUoviqU0pGr3H 5WtvDCfiGptZX+NR6txKU722oV5ncxSRnbxOxWPDH1Q2KN2dK+mZrnT1KUQGwB8GhoqxhOIP KhRA6x0o9QyS7KnkijqLTZPL0shPSeeUUExntSWikUQ4TgSPoSJSisLDIglqn1LPGsCAB7WL QSYjdjZMz+vKYNwSC4qNfA7r+Xwzdx6Jz2ij+meG+5qxCOtUwFRyAtS4ZiQ6SEsfJgKFLXq9 p6YuncnqTGZPa+sf7vtjPpvLR+P0iyaOM08KKM0JzSY6Qpe1mkQ61zpuXC4aveTEE2+8/NIj 9tv3qCMPv+qiSw783t7XXnTZYfv/6PJzL7zkjHNO/dFBR++538mHH/Org39+zdHHX3/MCcrq Pkuu7LU4dJmC0aCHdSC1Qv2UDkWHkRCEDd2XWJOJzYEjYV0Q07MYS0aXL/YERhxmNrZ/ZpiP SYVHFTBrYINfRavz1NbjsilkcsFImFKaMA16mx17wkkGh5MkHuxWikXPitZmUXR6iju7nKqA hNHayEo6te1WW++zzz7f2VXN8Tz4kEO23W77Q3/5y+kzN584ddoPfvzjgw45eNttt8UyQaEp TATYqdXQOINGbzUW8moQA2qeZGIiSlE0tNo4dr13J2F1LKguII0pCbYD86kuEk4nX4f5fL6J u484zPwP/DPDes9aNS1T5TNrkYOARvkYXTgUcXi8dOPwNTTSgLyzp0drtZ4z50I1KRqvp5qG SWhZIUclmmKBQoQ9/f1ulz1Fu1zxCK3qOPDww/b5wX7f3nev3X64371/fmLb731n94MPOOTX x8zcbcdnXntx4jZbuJoa0ppS51C/4nPb6n2KQekdGtIbdVjD4B7ih0GTIez/U+5IEpvxYwIV OAy4xYCGSX3dQyTdQJZhPZxv5s4j7hlt7PyZL/Sa5Sn916fH50U2szqc8WRKQ59mowml54Zb bitqtCYbNQYAmlLW6XP5Yjqb0+pVx7xaTqCEim+Ysfn0adOmZIP+F/7x/OJVHfM7O6bssM1Q LrncP/DGoo/md60oWAz+VCyjLXua6pvGj8EqMETbzmympqkOlGITwz4mMTVoMpKdtqFFymJI 1yoAA9hwgwIhUWNk+ULP5Jt70IjDzMb2zwz7VUsBP6kVK5+VwstpDGrFEl3UNTARk6GxuSWa zJx1/nlaIy4XHe7+WDJHgo7F5tRQ1kzRJjPpSDRBDVu4D4Ewq1asvPOOO/71+utPPPvsLXff taSn65rf/uame+6644E//vP9dylLE04nV/f3Llq+NByPKZmU2tYzGQum4iaLak2GUQAb8cZ8 Ot3Di8QxKsE1mBYxKBMKsCa9YVQkGzZBjLy45o2dPzP8R7SmNrkARgpgYs7UGvSlssZsMd15 9z2nnz37ymuvv/GWmxubm665/vobbr3possuv/eP9/cNYifALk22TZn2G8hmsUAQTxDt0XHe /+IXh5LZhvP0sssuN5jMF1x08RVXXXnDLbcecfRRKnHb7RPbx/LX6PGVMzm73uxzuR30Uq/c AIGk5GniysQegHoj3pj1LsxBAAaESH0m2I6EFEi9EYkeqH5WNZ8v8pS+MceMOD4jkVefv/8M r39Y+TNf5M1W6gCg0PBZqVSOSUxtsGnQE7dGg4347Nmzzzn7zGOPP+7Y4447+bRTDz/yiGuu mdOxckV9fU0kHqk4W7WxZCoQialhbFoUH2vFwZILDPjPPun01Ys6MsGosaxZvmDp8b88Jtwz RPVba0GjjWccCFbhpEZn0qWzbkTAQmmgvw8LmATOcC9imp80aZJUG0X0kjhl9hHnJvIbvAi0 ECnDdq4WBlX1ZgI2CRqQkk5qatDo8llPYMRhZkT5Zz7l6YmJSXL3a7zueQsXqe5CLb3WilBh KJSFjrO5otvhNhktCxctdNqsXrdTY7RQcdPtVgsXFun4nC0cffQxTod7wuQphWKZzMxjjjsW BtJY10AlJw22hFxBlyuiBsHa8BIZNNrmxiZAyNml9BmaCenNFJeSsDGpB0BopiQ5cxa2S8QN EZnqpdbUSKURECJ1m6SpNSiSkNDPIpjR30eebMY7GVH+mQ3RiEzJzNyoFv5geOb0aRjUenq7 HQbCY/Rk3fd291C6ArYUiUY2m7YZ4tzSJSvJiDZYrAP9Q42NzRROIlH6ocef6A35O7q7M1ql bnz7q2+/WTemfdGqDi3NP/U6Gqbj2FF5nFpqTXUO0U8a4ua8QIVTU+NPiu7KdcIuCL6U+lV8 xekpCZvsICmooIt9CDZjBNkutjJgJu7RUUx85hMYcXxmhPln1v8AaUpjNuAzgZ41qzpW1Ps8 Jq3BZbZ8e9fdLCaj1WYMBpKTJox/+umnANLtt91KwNjll105dcq4E084QampQyobHAjWNzQR WqO3Wyw1XsVhdbU0zF+1ImvWrQ4ONk8cp7VaaNxJnVvCDip90tVyhPhZ6AgtpUJIqJbCF+g2 fEoyJhxju+22k2QB4TkgCnjzVKWUJvkzMBNwJdY2KQrFJztLYOhnUszoDiMOMyPNP7OGRNBk VMJV/8Q063BYMCbTvdlsIllysFDKr+7p6li6JJdVGwf6vLbA0OBJJxxPWadzzjrLYbdfdOF5 g4Ox2++6S4kmqHWDqzQRS4Sj8X0POjCpK0WV/EAq7h3XvuNeeyT4WsyWLAZGz+s1ebWMQDFV yieVQlIpDgaG4BhQOVYEtBp4Dv5NsRdjRGZl2bJlgEES1/gqmZtSmkfQwp7iwZQe12AGvkRs q+w2ConPfAIjDjMj0j/z8ccIhRKUWYkjNjbVN5h0+mQ82drUGPD744kYcZhKrtzcWD/3o48I GcAmlk3h6lQjkVFLQj09xYIypn1sMBDdeuttn3nmWUo2OxwueBY7PPu3v6qu+khcr9XxZ9To 1EhNDRWjaQGirkHlaCNC3NJnl0UmGh4dohoWFMDAUCBBss3AkpibZ86cKd5M1lFj2AfwSGEN au4QiTNaE/AzAcMOIw4zI84/I+xFXcQxU+ldppRcdG22W8l5nvvRB7U1PhL8e7q7G2p8ZqOe AJVQINjVuXqLmVvQQ7pcqVBhMmkpIJNLpL2t7TqtYdmyDl9d3VtvvLXvt/doc9c2O7zlaCbS M/Dz/X9syimTG1o1sbQuljGm8uY0lgDFUNBYy1obCKy8MnlK8ApGhp8AIcAAAKgEAG+ZOHGi FNdFHsOHQ5KzFEabN2+e1G6GpYgxQKxtYogjv1oydkaXT38CIw4zI9E/s75HKCXF6DI7Ydz4 Ky6//Ibrrn/j369fdtllt9582+WXX/G73/8Oaa0iwrkDgZBOb8yks7AGPcqJ0RDNZUPp1NNP PvniM3/++8OP/+3eB43B2CM33/rXP9z39/sfnvfiq6muvkJ/IB2MROKxaDalqH+ZUo5yaZlc uZgt51PFVJ+/nyae8WiqXMT3ko2mYmW9qsoTDhoY6I9EQt0BfzibwxwndRKBEHqO1ApkXbLW JPdGpDWppz4KmM98AiMOMyPRP1N5iuJur8Zliepc39hw/IknnH/hBWeefdbBPz3k0kuuPP3U c88668Izzp995pxzUlkS+fNOXx1ew3IuDulr9UXFoM05zLbmhm99a9Z9t9z0u+tvvPvCS1IL F91w9uznbv/tafsfcOnRv3Ins006i91gck1uN01tUwylVDmV1tKqM7M63AeNl9ClyEcoK5lY oZjNqSk7VlM0GydUh41GXRn/Z4RfadqB7a1S71xuQQQzPrEZSLiNWK4lUOBTYnA+k5I+tkM1 7nMNj17ba21Dpxju+F/h/iMOM5uQfwb8SH0wIUSp22IwmIml0VFFkIqY/BG7bzDrjUaXmzT9 opJPB1avSGlLr73z1h//eN9F587+2e67X3PRhR6L5eBv73bVebOvvfTiay65ZNmCBX//69/u ue++a+68fXmgL5lNWX3usracTsSbvV4aDiYSQw1EFXRHa2ucugymgGRP/0q3xd7g9GT7Q4Hl K7P0flMTmzdIWv8Xbfb51oZLozK5VIPZqtPNhs423PG/wv1HXJ4mzwKnHvke119//bHHHivF LLGB4sZe72PiV4QNKQuGgC6xIVQr/5R2Gl/K4+ZcvH7EHs6O5CP4qXQoqJRBr0ynJclXgzuV YQxKOhqh6DLVa3MDA0a9UTFZEqu77HUtvUuXNE+aRKcbyjTZ0NHpFE11m1jcbDUrjc1KLKjY qfycCuXSY9rG0C8tOtDnGtOY7Q2XQiZLS6taQNpazqSDpULZqvEo2KStBSUYUNra8yT4rDX0 fSl3vSkM8s3L09wk/DOQjsgzUpFDSrlWox6ruShrcFP5AY+k0WxVTV/FgrGxSfF5FJvF3kSF sWTzjrOUhpqBRMw2YayiKeVNeqWtybzZVMXlVpvgUgvG4XTWNta6fEo2p/T1usgYW7mCPjIW lzu7aJUSSwx8NI/KAdQQSK3qU/oDyuKVZFOHFq7UJctS8PaTy6eIYev9abhokUHW/0zWd4Lh jv8V7j/iZLMR6p/5xCuqyhjVX9iiimprVR5QxKLKJzjaaaM5OIBrv9L3SZsJB/ORCEVvFZ/X PLZVMWmXLFv80vtvBePhhK6sqXER/E+ojGK3KMRBYyJLppVM3qI3U1XjstNPvfQn+x/xg+8f u/uuc448/JorLz3yJz+k+MHZZ5+9+y7fuuqSy35/7bUXHHv8BT/8kbeuFtlINfWtb/l8Etn/ 7TVcGv3Y8/nM0w13/K9w/xGHmU3CP8MLk5ATYS9i+RWVRmUyahzz/y1sYYPT7UEZp9gt2rfW bDa4HLRvVs3WpVKfPzBxsxl7HfAjk8ertzpyBn2mXErmc0WDKlqpoobFhiBHloGSymhzye02 n7znHrv84Ed7T9tq2vjNJ7dMHb/L3rs3Tx5/wKEH//3Vlx989OG9990bcZBiOYp6XV/lsq4a 81Vex5d67hGHmRHnn9nA4wYhYnSSUHzWJRplrWCm9tyo4oaNZpMlVypEk3EqeBrJhVaTn81q SU6DsZ5Mz1zutt/8lo5oaaWQVzSD1PXn/zZbgQxRm1ltW55IZqm2odXF05G9Dt7nkKvP3+0H 3znklKNOve6CSbtue98/nr7jz4/u9YuDdj3w+1R/uuaOm231HkWXV5nVuvAdrkD2/7G/PDZ1 vqgsYiBhGbWbfan4rQy2qfhnqncuKg2kIJ+gyICpjH84ZTCesap+M2QLWajG7fbRNJp0tVgs TrVP2r4UC6VSrhwNx84/Z7ZRZ8xl8Opoa9y1JoejoGjDxL8YTYqRiv8Owm0Uu02FlbEcmvdW 3lwas/nYsFI87JwT3u5c1LDZ+NXJwEkXnOXPRP2pyGAirDTUppJqI4D1LsBwWMu6msnnWeex yPjVRB3Wqxs/eeovn5I22ogjjs/wgkdc/swGnr4YUqVeq4hqlZJ8a6f2Nbk2KpawXZn0FqWs hZ8kUhj6LGabzWSlf1Mu0Ntv0GqaPTVXXXQ5sDDkKY6m9YcDmKuHYmELxc00ukQmi2/F4HQR LePxuTqWzDe7rQavZSinjJ818fI7rpuyyxZdiaE99v9uUskFsvFX3n4jlE4kI0Gr20nQDo5/ 3P/SiZYcAeGEtCHAp1ltDUAEgJoRVPHV8Mm6ROiwcGsciH2SjVIVXsrhirbG/oTeyBZpNSeB ntJ/itrThPCIRVFqrGEIld5s/Er8Di16pPzaRqPwL3/gEYeZTcU/85mvomqwksibVCaFv8Zs NJvMVoxouWKhf3DokYcfe+qJP933m7uuv/Qqn8X5+1vvvPrSy889a/Y//vp3jiI1GnLNlIpZ 2t0Egxjc6PbE85mw7dZ33nnHJZdforUo235r1g133PTGk38bXLV43wN/2NXTOaatlTo4UKTN 5+vrGwDS5PNIfU3om6/4+yHTt99+m0AbtkhBWnbAaE6UDcGdUp2DPSFlIj4l3IZBGFNawBNt wCBMbdLJg4BoaV4g/YCl8ACVPTjqn//8JzvgJ6AcNuciuhScMD6fXA/xO9TF5uyS/DOs5SuU 8UYcZnhwm0T+zIZeMOHPagT0fy1qBgzeTT4R7DGikexMtVBMz0QZn3Dc8b/46c/OPOPMXx97 /LHHHXvtVVdeeu4FfZ1dfX29TrMtlk509XS7vT5fXS2WN0N9/erlK3Orek47c/Y1N9/G7Hzq KSdm0rF9jv/xrvvuOf+Ddya0Nnd1dSsmczFBrWiNz+nt7+1TA2rKZYlAg6xnzJgh7TQIiIZe YQvVRhqUdYfWqc4hydJ8kjlH3Ke0Hujo6OBwulkRgAPSpJANpA/MJImN2DZ8a+wMTtgi/Ujg LUAIfsIh7AxsOBDYSD9Q0hN23nnnTasfwYjDzKbin/mck6KUElTFNoMxX1BjIqmjqdoPShq3 y40xjTJoOos5RslMqyGwulft5WQweeh43tRMpBgH4scMx8KsINIUBgamTphibGnvXLgkOdTf 2mrCArfPXruvWrkIwGy35WaGclGVFGMJu9Gc6fObjObGpiYgAdOQWGbwQD1BdpGWZhA6AdGs CyQgaL6CAQAGWoA0rwNxTqqkAx7Q8t5778FkCAkFGEAIPMBtdthhB3ZAHmM7aOFcnIid5UTS DEf6HLJF5DfOIv2qXn/99S/Qj+ArjCcYcZjZVPwzG+YzlNbgT+U2iGfypz5ltYxAyWqysq4G 95MfSQcLuo4laTNQdrbU4EipaWjIRxLlUiEWjqAws2LUqbsZ8IQqJeI7sUSHQ/H8qr66uvpY NL5yZfbIow7rWLHEoCm+8/y/wv7+bDxqR3vy1pKtZjY788l8idRoRYGsgUG1RC2sAB4inTTh LaLVAAkKbQpCeAsAjEhnQMXOZNeIwsMCg+JX9gQVjMCvZH0CCenBBh6ACjhhARVSjh04cRYk NBIT2I3LgMUhuUnPHFjQp9QA+Zxz0/9ytxGHmU3FPzOslwRs1Bgfg5Hy5Bhd4/E1EcT5UtHs shrddrvLTWqBxWluH9vGziaj8YbrriF/5tZbbhnw9z/66MPYsK+/5losAV5fncFq/8fL/7z9 97+vbVLmLlo0FBy0u60P/vUem91EQjTxmrS0BV+K3qRoDKEoFBtjOhdNg+5UpNNA8QBDcgG4 MIibT1ABDOjkgRBVTT576623oG9ELFQg9uETNiLNbeAqJBEAErEEcKxgBhgAD9ZFSIM9AhvU JziD9Gnj0UkqNYfDA+FvXM8G56ANKC7Dev5f7s4jDjObin/mU17DxwIjhdVYTFbiwWAm9FbG CkuqPxu9vtpANh3MZbpDA/F8Il3I9wWDOquF+LRTTz7FqNGfd9Y5TbX1hxx8MHR50q9PUOz2 zh7Katbvf9CBl193XSCpHHPSMeFMJFVI77bXdxZ3LK5vacgWS88890yq0majTBF2r0eyYuAG UDmQgKbRSZDQoGnAwALrkNa8fCKbwWGAE3IUn9tvvz1toYAWcpQkUQMbaZ8G65Deg/AN8MCL 4ycgIV1B+So/ARh4C/1A4UVcEZDjYjg1MOZErDMy1zNcst6QvXu443yB/UccZjY5/8wnH/p6 nylNBaTsht1qc7tdSGpD/gAyl2q0RfoyGQf8AaSqfC5TyKYy+ZzNasOUQOFLRnNY1cZMGNyU RNJb1xDtGtQUzQOr/T3L37/9ort23Wx7e8pww+mXTXK3X3L2hV6X++rrbrZ5fRoXHWmoaaYq Qpwa0peyzlA8JA73kMbUrAuowAOwwYAMQ0IDASdcmzRzt9ut6XRywsQx1ANRNIXaWjo/26Tf IDpXKBhiOuhe3dPS1JpJZQf7B1TfFIWlcvlUIknXa+KJuK+W5pZMOlVfV69GsBZLbLeYzJVJ JK1m8UlG38f+uCxNoayhDoI6EcnsIwuSa+UPERYPVwE5ljE1BFxs/GXEYWYT8s+s9+1IfWdK Z1Qab6hLpdSzGl1sp+2MBqMzXcvVUmm0xxzs7TFm82Q8mxVNQ21NIOA3OCxD0bDZru7Ju7EZ rWp2tI44A5LVjIrNAYiO/vkJW4z53g+23Xemd+s2g27+w/9Z/MCCd259c/lj77315GuapMbh aVq6qjcbjhl1hUhYzWpm1oe+payMGNBgIygeEsEg8z0SFxD11Xr1BmNffy/lQYnRrrTjjabS CbNFp9Vg7Y7U+JwOh6lj+VK8lZB4IVtQ6T6eor7U4kWL0dPqa0CFEgmFWpubx7S1+DyueDSM wBgcGijms2hlTrvV6bD7AwFag1D4YOrEacGhcEnNClJySbUqVTZBwWvqx6tRSNTuzZdpQlqo +L0qFkk2Y0Kh5ZZOPxgaUojQ0wLLUjGVKWVJH9roJL3RTzBc2H9t/DOfvHERJ2S7dGaeMX2z 66644vabbrnrjt+dcfrpH879aM5Fc+65716Xx61Oq2v/5JCS+l3r8tVuue2OB+y9x357/Wi3 bWfMaJ/8remzjtj3gON/ePBPvnPANtO3GjNmbEPr2PYpkynFbrGZ3R4Xlc0QukQj5xMtAsEM CQ0xCcAgsEmqpvTkYHtff7fKBnJ4g1R/aKWVdByjRiIV0+q0y1csw+iFVAm3SCVV1wp80ea0 kr5QKOa1Rs3KVcuKBfxIxY6OJUNBf8eKpRaHhdJs8NNiMVsoZ9hCEmsmGXd4nACyp6fbV+dR zRxME+t+EmGKkKoaVKSNVwUw6hc+NHi3ckrR7nJUol7ZpAKMgibDpbcvsP9o/swXeGhf8BAk H2gUwoXOpGMuXkVy9xkOLeLhhx8++OCDxS6M6I+2sO5pRBPW4pFZvpxMm0KpoHXaC1gV3J5M MBwLhM1FndPiVFxetVOawZhIx+1tTdFEFH4iLhT0cqifQaQlrUBIgq/leir+lvpMNuVyumhC mAIJdmehmAuHg+PHjfUHh7xeN3N7MBw26M0Ou5u+iWQuqM11lBz1NxCqsS4wfufqlePHjk+k EnarNRQJed1ePunZTo3blqbmaDyqmqobmnOE1eSKM2duuWJFVzA4SGFE+CE4NRlN2VwWK0gu T214TRHZTNEZFbOmTOydKrwxdxQRYtXeWWCFoNcsvid9SZsIpXykG2lLFXCpkXZqiWB194rk B3Mqa4plY0bR0Al4ypZ73/3Q0w89+kyxyMglrTahCn5Fe5mwVlUapNIwpeX0xjL9g6K1nuCl s49dvmCuQad55s/PjTg+8zXzz1TpHmKqxpuwUbI70X3F24hb46ijjgJF4qlAhfgYLteKeVrS B5S2Mfrx47U1NWWzJZZK5PT62vY259gxSi2NRJF2mO8z9lovEW7IQPlK2JcYfDmXmJIRxtDC UdDRbaQ8DeuoPQT1ENXT1dVDpU8uCc5jNlnb28emaBnia/AHY4Fowmzz2hzuUDRLakKuqBlC CEvGmtvaG1taybDLKkWqTHf7B9PEmyl6YupSpYLBZnPW1DY0tYEyk8Ne19BMKF0ynzdZHW+8 +06mlDE7nAUtlUIIEddWPjU5aocalDzwUEwlxZgva/NqCDhqjFpUVDWmaLTpUp5iCbF4ymi2 m6wIfFYw/AXns+EcNuIws6n7Zzb08KshVSKeSbUKkFDNMH300UfFuc4OYjxcz4KWBFRi8cGe 3kg6ZXR7yxar1u7QuNzJDMJeUTHrdW6Hnm6ENmMklUjls0SIMpqcSCJcGBbrFmhBiceMhpOE 7RI7h9vRaDC3tY7hVwG21WqGRlOZAoDRm5yprJaIHlTyTJGoacUfTdjcNTZb3cIVndFsYTCa 0mgdQ7G0y9didzTE84rJVpcpmMo6Z7ZoThaN0ZSSK1n6QsmuoSjmusFIOhjNYVrPFCmnQ8Fq KlJZQIhGS3gR0TS2MgmoCuKWoURuktomXv1TZdTKCjo/redtjhr2gbcWFM3QQO/aIkHDAcEw 9x1xmPla+md4KVVNRpUvKtWWEY3EciX91uEziGTIb1hmJTZsPa+S2rPBkMbrqZ80yeKtQczQ Wqw6mzUQDtnqG4iaVhx2xWJAg84jvJkMeqOhY9VKxmF8zsjCKfiKbwSuUu2WDpNBNgOxMDo0 +xx1nCsnTyRjqpSj1dvsLqfb7XRY6+s8gaiyuCPs8em7BspOnwOSJ76yZezkVMHqdHnQ4Y1W d6qgB1dDYc1gsJwumKNJPWJOKquzWO0arTFX8tTWNYRSis3lbG1v7RosJbO6ZEGJZZV0WYlk FKx40ZySKitsJBocKwPR3oilNBfNUDqOT/IluLDKzJIrafqG4qu7Bx1Ot8v7aS27hwmNDe4+ 4vQZaEt8ZPRtvummm7hwqcG1oXJ1CBv8xA5yoPoQc7krrqB80uVf1jP6UsaRlAEpG8DdifuC dWAjESXnnHPONddcwwoauYQJy9z/XwuH5pG2lbLR0DXUZ3e7bEbboL//mSeeOPxnh1E90IQG oNdpTbpUIaejHrRSNCkGfJYS/MKJuAAAwwWATKQvCe1jo7SAV+sLpnNO2qnTJJ22B1rtqq7V bW3tcQBh1R91zNlmm9vh8tmdzkULl2y97TaLFi3Bqmd3uJLxBCV43nzjra222ToejWmoEkoY Ww2trJsG/UNDA0M1dbU6jT4QwOpQGjO2bfGipSj4RAAsWrRowoRJsMBKykDObDGmUjHQq1rq zCY2mQ0W5E2tgj26CK/RwHNQWfTFXCmZKaiFQgmtSIajzbXe884+sZBPupg11GUj6jMjDjPc LjCAYnjBmHdwI8jL/hTCJUwDmhDXNV421Ogvhcq/9EGABzM9BAp+RJ+RBV8h2jMrENC0adPA fNUNvx7YIBEFQp4ar9rNk/k4GfPZVE3dRgxoJQtBlfr1mhBBNA5XrpgjvTOdVKOSxc9InDKB ZFyJhCHjT7zrrrukHggXcOKJJ5Zz9KFWa3hEYmHUKoA+6I9ggE5nlcuvvP2RR54uAkq9IcUO /f1jpm2uaGy9vX4fcTRctl6fyeYNOr1VrZdoW7xkqdPuIpK71le3fEVHXU0t3MxiNaAzxcJR GvhglR70+0uFAqHXzHbZQsZOG/dE1O2wRxMx1tULI1uoRC2QCIUS6JetlNH29WUenj6dyMYN WkNrc5smX54xedw9d18MdD0qZlTl/xtkA9jU/TOfgjTIVDjhuoDhfgUw8FUAI6YCZoE1Sv8n hgtHEl5qojOzRGNYgwBMMp257OLLVAaVIRO0wOi5XMHj8ODY0WJgWlvKTAJnUGAgXNFqbrvt tnvuuQd8/uMf/3jllVeYm+64406V15FiWizW19eiMsQSkbpa76A/gZUsECDGLVNf14LiYXd4 PM2trHR2DrS1TRnoi7hcjVot1aHovjZ2YCDm96fYHovCsfSkDrjdTYlEqbFxPPv09YYnTtqC /WnwTr0gr681nsjH4hSBM9IA22h0pjJlp6suEs2GI/lUyjg0SAvEZqPFWdZafHXtAz1xvd7t dDaQVWR3NM7/aMW8j1a1tk+ncyluny99pvvkgCNOn/ka+2fW+zqHdb/MnW63nbwvVkjFIbuA GEiH2XzlZZfBYEwWo5Z0sWKR0Gk+S0Vs0Qbc7ZyXCRvuDWAALdoLHObaa69Fe3nsscd+8Ytf wNmw4CEcghxy0a6/9gar3RKOhGLxCNGbHF5XizimYIAeP27yyhVdA/0BTMPUT8f+xoHZXLq+ Es7sq6nBK7po/jx0H2zN/LrZzM2AXyxBumjR5rAP+fuy2dT0GVMWLJzb3bmC+p5Tpk7s6Vnt 8bgbGxssFqpeZVwutRcV8gJgHj9uottVD6hyBaWv3x+NpcheGzdxRiiY7FjZ3VDfRsHqaZtv v9lmO/gDqXBEicZVR9PGXkYcZrjhTTp/5gu8sGHdbyqVI7aFZk92s5GOnoVMBj/h+edemEmr 8S8Z+t3qdKo2otUlYnGCViR+WYKa8QKJcvi73/0Oz+b+++//4osvirEBqx1wuvPOO3ff/bvU O7/3nj9A9yj98UQYV2Y8QY1BZerU6f39g8uW/SMc+Neif/+nY+lzy5b89bbfXP/B+7e88MJv ymX8ob2lUmLc5GZKq9PvPZ0Z4g93C382OFApks0HzZbcAw9c4nFrd/vutuFw5+Ilb8+cOeap P92ImDk0tLy11bW6a9FHH969YMEjCxY8ODDY7R8Ku121K5Yta2lp6ux8PoqypBjr6lv7B156 772Hk6nsogXL/MFkNqPU1sBn/hc+zRGHma+rf2ZDWBru/ZqtRjQHKg30rO4yaXUeuxXz2NVX Xma2mCk8azIbyZ0mei2dSXtIzqlIWXhgwAzyHko/UDn55JMJyjzyyCNBESligOqFF15ApyJb Bq+l02Pfaaed6JL7p6cfp197sZSzWy1OO1UXFUBIEwRUCY975z1+8qOebmXGZntecsm52257 +C677Dd37pO066ytta1c9tHEic0wtqYmZ0/PMlKqfT5TV9cih1Npb0fVjI1pJdZuxYfvv9bc 4kyHVr/88lWTJ8BYusaPq18w982hvue//e2fT5m4y+TJuy1d8iAaF67gSdOn/PONR3mGPZ0r uXhSG6ZP/2n/gNLU1DJ9xpZul497TyaVOJa1jb+MOMx8Xf0zG3qVw71f3IvwGaISx45pw5E+ OMBcnp593vkY0xLpFAkxJhuOzjSWKzW2LZ0BM7j8CS3DJ4OtjMugo8a9997LymGHHUayJP4Z aUojlsmtZm7T3Nb01ltv/ulPTyVT0YaamlAsQP/Qulo1jWegr3+wX9li85mvvvJSa4vSWF/z 3uuvBAN9SjmLKhGLDirl9LiJrX+87+Z5c//82qsPul2Gvt6l0UhPcOjljg/+9c6bf3jjX39B x/IPvlnIhfKZYOvYhkULkrkMbvq422GcOLEtEqLedMFp00+fMraUo9yCefWyhf96/c4xY7dA QpswfQKhPQU1Fi2HYRkn08K5c4eGAkwHFitVFjfYi/dLhNKIw8zX1T/zKXyG9w0TYPoX+7J4 6De0P0anbD4FbNAWTCZDfYNa5/+qq65AwLI71Qa3aqAIFlmTgS0QHKIX2gujSUuzOXPmgFL0 FjgP0TrYA4AKuWWsVBoJJt55771oKPLSy//o6V79yKMPF0oZk0GbTiZWr4oRhuy02cePVcqY 4LQaQlm6V3dusdXWdBBpqqstZJToQH8mEf/g7Yf33uP7W22+x24777do3jMNtV6DthwJK+8v XjBt6u7f2e074ZCy8/b7jB/XHhzqXzj/ud133ZEAnMbamoG+3uXvvW2zKvFwSKspr1y2jC7x VrPB11K35Vb7en02QJ2nBm94aOq0idlcAiR7aWZd43U6abKrGRxiziByfKOHAow4zHwN8meG NaUN+36jQb1ZnyvliMZXo37VNhmZ8+dcOBQOQCyErtARDWsursBoAg+haqMjsB9lQnIqv/3t b2Muk5oYfKpOzEJBvlY8RWqWmFqXXW8YP34szhp8Pgaj3mG3jRnjxCRAGFgipqzoWFZX400l lVXL33jsobtfe/mRF/760Pbb/nizzberq2kc6KdlCEWnCPW3hAIKQdl6IrM1ytFHHkPUs91i NeqUZDwV8gfsFjtcZUzb+FxaCfnDDqtj1q57gD2TwUqZnhpPQyyC6t9TU+vKZOManSp3dXWv GDuupat7lcdrV+v4lrL0F0mRcpCKEhlGk59vIma+Bvkzw8LMsO/X5aEME8G+sBdC/MORCL6p yy697P7770fmufKyyy1aAx5dvVa59dZb8ZqKn/S8885Dk6Hu+4cffrjNNttIxCc2ADEAwNwk vRnb19HHHEUKDVYDos7q6hoI9MfATO4CJoZCIRuODuHIGTduTCFfwqI2acruu+/+0z33OGn6 tH0sZnfX6n7/QJi6uS6H204adjCCvbqvd9BmdRKo/eG7Hzqc3oCf2gOUQ8SD4168+PXddtt/ 6UfzTWQ52Ozo98uXd5Djk0xkXE5POBSjdiKxqsuWr9AQulbQdHYXZ2w2bcnSBcwXuRyuG6KZ NSWKJ5azBFR63BaE1WE9/C+284jjM19j/8x639Cw7hcqiUWiXruHZmrhcBTluKamDnXlgvPP O/uU08qF/IVnnU2M5oXnnEORjnPPPotMrPPPP5/znnHGGXyeeuqp0ohTSsC8/PLL2ABgdGrj dTXbjJYf+gceuiefo7oFZT3Sxbwhl9VYzGo2ciafbR1ba3Zo8SsGYyGLw+0P0nlg80iCamyE JuAm0tbWtVLIDXhEwmrP0Obm1kG/0tTc3rFyNb7RGdvutGxpp9PTAEzDEcKm1ZK8H837S6yw vKtHefe9ZwKhyNhxE3Ce5gsl2lWh1pM+sLKzu6VlgsPRbtLXt7fqOlf1UBknMOR3WOrDfrJ3 tE31TXab0aQvmsl90JFUt9FJeqOfYLhQHpa/gsER/SXNUJ13Mdxks8y71Pwe7nm/qv2He79e twff5cfu96orrlTTIenWRDkAdH8SWbI5ACMGBuzLRJfhokEMg+GQ5Ey5JrYzCLYBNs6ePXvf ffflK1UHUrGow+3efttZXk/dzw45vEg1P5M1kky4naaXXv2HyaLHTUo5alp9ktz10bwOh7te o3f46lqNFk//QMThrg1HlYHBwLLlKxctWUGUdjKb33LrHfqGlKUdXZM339YfIFpHiSULdntN fe3W7e17T572QxqCbLP9IRMmTp23aKlaQNFAyUQvsCQ8dNqMzfsGgn19WC+sK+kVDzx1OpfH G43h6CQNKYdeF474u7tXJ+KE7+NN2ugkvdFP8AVocVj+CqlDh1AvRSFkOffcc7/Aeb+qQ76U +0VjAX7MGhKtJyGhfAUVEnkkpQBhLITPEIwnzWh5aHvttdfcuXO32GILvJkeDzVljLFQYoft dz700MN6e4donGPQUYtDjxu1tq6pSI4JjacKpXQuT0ePydOmpTMFUm3yRU0kniSsJp0vTpl+ wFDo1cHAa119rzV7ZsVTxe6+oGqWMLsCoSTB0ctXKqt7/jUYiG++3S5NrROGggliLvkMRtIE r20288D5i/7y52cffOnVP02YcuiCRUuIZCNcLZnNto1TvHX1H773vt5sCQ7h+VGMWKI1mtrG prETp1gcSpqEgY2/jDjMDNdfgfNBArQITpNCj0BoYzds+hLfy5d1v2JzkwXYIGjJFsADSJhH kMdwa+C2P+644/DG3HLLLeQCAKGXXnqJ4J358+fjk+G+zFbbd3bbfeqUGb/4xeEGvcVksmGe guDxz4wdOy5FYGRRCcfiVKmZPPWg7p4eiJTAtkA07K2tIaw4GIpN2WyG17yrr/77TfV7tG+x bV19M+rM9jv9sn3M+EQyrzPaTj3zymmbH6oxWJav6l64eHldU1ujd1eXr54/Um48tY0NLd/f fueD9vvhSWaLY8y4sZgB+nt6MIs3Nu8VT6bbp0xFuvM2NvQMKHiOcEYFQsHV3V29g+SwVTpm beRlxGFmuP4K4TOI40RzQhlosYhqSCAb+bl9acN/Wfer1hmsJIFK8SQJaZPkHIIyWWFCwQwg 2WYnnHACECLM7JRTTuGnZ555BhMC4Sr77bv/nt/d6+yzzj3yyGPmzV3o83lJG+7tCditOsSk jpWdRrVErTI4+E90bwJAm1qabE5znPa3WMT0mqHuzmmbTUUVcbePmTZ9hsXjpcd7d+9Ab9+g zmhZ9ME8YjfLiuH1F/9JUWj+6upaLDYPddi2/tZ3CWYbHCQqlJeoKRcI8KnXas0Bf3B1z2qn 2zF28ji/fwizHrdGFc50Lr1g/v1WB7k0BQpnENgDL3K4DBazGumzsZcRh5lR/8xn+Wcs6Gyw ESkiLnUwRH+DpXysawVf8fwAJMn4F7FNEgFI14GxIKHtt99+iGcXXXQRnRjh2AceeOCPfvQj vUk7bep05DtCc1pba4iVBCqVYuTZ8ZN23HyLH5vJ0innVnctz+ZiZU1ms2njVyz4sHlSe0/v qqHBHq2usHDBPJvN4h/smTp1Eg7LXDrVOnEsaUEej8vkQR9xW22Wnt7u5pamZCrx/r+ICWjS 6jTZXGb1qhUzt96yt68nl8/SHdFkIOzA3Nu9Mp8j4zPrcljCg/3/r73zgLOjKtv43N63t2Q3 PfQqIB0UBCkqHUQUUCnCJyAdkd4JvXekS0c6KEhHkBogkEB62d5v2dvv/f5zHxhXyK5s2E1u 1swvXGZnzpw5M/M+5+3vCfrd4yft8qPtD+xoXmi3pWPRro6OFvJC+/434wCG7K8gPZ1IxGxW RenZ+PCnn376SE82w9X/MD4vvIVXoaxMIYQ/cf8DGDgMRzil8gD8yVuCG5977rk77rjjPvvs g1sTs/Ezzzx16OGHAIxIT5QFP8nYl7ujvIzlo4zecAcqREmpL5vra148Z8LEutrakmi4ubbC 0d0xr6zGZ2RJ+exJJbrGj6+uqQ1VlHkmT2n45IWn11lzYiLS1tPZ5LKnmxvn1dWWd7Q3tjQv nDC+rnHJvEi4Y61N1sdYFwq643095ZWh3p628jI/DcbUllWUOLra5pf4sTxEx1aXpfq6x9RX peM9LlvaaUuOqStzOTKVZT6nPVseNFLx+DdSjobrQ/27n1X5M8P/Tofa47DnC8kAoLwDNoRV jIoYlFW1GZMDgplEOFAEomQ8MC8xa0gZpIsFS0upLg3kCst4OPIF5ej/jjklUFqRy9tJdUbT yLLTlwh6Q4U0tSB8z+/3sVJ1RVkZtUEkClI5gDRpp8Pd2UlxzbEIET63h/vSmJsCYLKpZdND xmYjPJSz6F1I2pTLIR0NO5vblY9GFq25xsS5XyxqqJ/U15eLZxL+Mkd3b1dXR09NZV11SVVb 8/zbbj6DYjlE3xUeegTzZ4oOM0gOmibJJ7niiitkAiImSjPlNzcITpEm7PAN+LYQB7LKymJu Hq7nJTV1oPeDs1+neJNy+XNTDABaChsNEAEPXJnJcJkUy6lX1FRRnYk1clCLCF3DNkVxjLbO nqqaGoDVlzFX+2ztylRVODF6cyRYCPKKxIzmls7VplQiHxH2RWwYmF28OFpfH0yT6IKnMoYd z1zfrbExV19P4p2ZpUyiIJ4CDhLfQ2hMOEzaAuUKzIOYpIkxjUUNzOcE18T7KA+C+GZGBgXL jAjJz8lURYmbS6pCRiJiEL2GFOeAFZrm5hHETNHpM0P1V/yv+WcGel7LaPa1HVUiZzq3FmSX zgNO0GrQ+x977LFbbrmF6emRRx5hITIAs3DhHAq4UKIJ9aM04O+LhR227JiaCpw+Hd3dXqfR 2RWpq3BC3OyTRWlW4ktTBym29pTKluaWXKqPOc9py3e0tK82IeixGR6HAaxyiWQJq+j2GRPq 7akoJf+Mvp4ITIH4/WhPojJkLv5pSydrKgxC5TBpd7fGkn3mOrxc27JwSZnPVlPGVWlasvx7 iceoLTEjdBLR7iXzwyj/hNjYsqmB1twdKvMfpH3RYYaxDou/Yhjf0Uh3NaLPi1sGMYmQM0wF cGCkI0Alwez2229/+umn2Xn00UdVlPnee++99LJpEyaMd7jsoZLAxzOmQ+rlpaUuO8FcRri7 o66c9M/8mIoQFaBiPe0sclDiydtzsVyqt7oEdT0zpirosadcaBbhtoljKzMo7slIyJsHD06S Cbq6KKjUuGBRwJP1OdP1taG2xsU+lzGmyhuPxDLxZG2lJ9zZxZGqUkd9bcCRAxHxgNeYPKmO BXw7Wztra1zxsIEyEwv35rIUtg1PGFs+oaEkEY1louHCytgjbm0uOswMl79ipAl9uPofrueV Qeybm8JkFFeGPgPbASSwl4svvhg5FufMAQccoKXLfvGLXwAh0p5vue02GpMHuv66G7LDqTQL gEZ6GmpqqZfU0dLY0dbidzrHVVd3d7aGuzvd9pwbTchItzQvZgndEr8vGY9Wl5dFo522bBIb V7i7fcnCOZWsIFURSvVFJk2kclq+L9rV3dUyccKYJYvnd3W0UM/W5chGwl1+r33+vC/SyVhz 0yK8L9VVBHpSGjcZ7mpx2nPRrpg/SPCHy+9zEOtZFvJRlTMciZRWBHAm5ZJmBPdIb0WHmeHy V4z0ixuu/ofreQeSzRgnshmCmXgLEMWPScIMmjfhZ7Aa1Bs4DDo3FraHqV/z20Oog3HDjTez ak4ndaEMux+Lr9MT9AVixIZmsvvstse42jFIQT6XY+P1N1x/7XUmjJsY8JdTanzMmAb8Q3iI kklzJd3e3ojfF8yks36vu2H8uPamxnAnddzzNZUVjYsWVlRWhAL+SE93w7iGddZaM9rb43K7 Uom41+3a8Ufb+73BTTb6Xjabpqp6ZXVZoi9cWTmezJ/y2kqkr46OGKt7uLzBjt4OVh/B1AZk o73hVCGRe6S3osPMKv/MMvtnBrIBaK1MLQ0LbyG0+b777sMPo4UAYEGvvPLKZZddRgOaBf2l hx16xOqrrXXNtdd73P6+vmQwUJZOUcTSEfKF4rHEB+++T23keG8k5AsunDvvg/c/+nTGF+CE GIxkIl1aUuFyeBOpLN5MKsK0tLYSrUydy2hPmCDrkooqVkTsjUTrx1JZl2BqL357p80dT6aC JWXNTc0szDZh0mScp5l8ev68BS6XjyBrTAHl5WOT6a4FjUsSfQm7l5rVrF/NDoZvc93eRCrf 0xvz+oPe0rJvrsw47BAqOswMo79i2F/WSHQ4XM87kGymNZIKdcrNlTzQ/rGY8Sc2xr333lvc iSWTaIaDiyoZh//uiMbm9ttvv+vll18HU06nl7LI6WTO7XTn0pi2SsbXT+hubi9hmSiXL5vI VdURVoxdjlw3JwvXwp1mz1u8/vrfr6yuL6vEgdPgD5TibRxbP7G2ZqzLTqkqyhP67S4vnUdj ybLyajcx1BGy2hJjxo4PllZSK4PS6YlExu0LsfShLxjsjoYbWxfacRjZ7bF4lhSdxtYIelIu gYHME06wBFZfaVnA6Q0kYljGR+Ir/UefRYeZIeeTlJdDAZACmi6TKLYgItCKrSDgYEYYux0r OXM8BRC10iXbQAUQOYXdbKnPa1ZlXtoGJ4GfoNWQiEJMAFo+4EEkI4jmySefhAVpCSc8JCoN d+kll0+ZOOmRhx/LZY3HH3+c9DOoORBksQ9zLYNMPLO4cXE5FeQcjvaudiq/JqNJqgeyYiE+ HrOeRzK3+WZbzJszj3u9//6HVVV1MBOWBIjGE75AMJ3DykY9ROqXE1rpcHt9gUCoo6u7EsYR It0t39HZRXt/MBCLEQWKuZq8nSRF0kpKKzq7KF5D7UwWO3DX1rCmSMYGiGiRt1eUm0uPkObt DWCfHnGSHvEbDBX1Q8onoXM+OXMkgGEH+uCrQxMrUbzZcD2v3P9svArwIFzpTyQueAseQ14U sDJtypkMsFQQjQwAWqDGTKTJpAqrUxisMMNSTdCiE127sJKF2+eOpfrGNtRnbMQ352vrzWiX MePHBkuDk6ZOyOYSsb6w10NOJkk+nVyUTSUryktbWppY76mqujKZycRxgiap5tGNxMUUxy8V NPmlQWHJtBTlmtZYYzVCSAmxwWFZW10DgaJHpRI5n7ckk8uusebkzz57P5PK+O0enx0Dmyvo 8sfCURZ+IuQs3mdmhYz0VnSYWeWfgZQHcuCKzyw1X4hEf+ieqmWzZs2iAhMMhLgYjuDrhBxv vPFG2C85mwCJKmdCFwHOuhH2AMwANEOV+uUvf8kRpDWWYgZLBVCZoUnmjs+dypC8k2xpa2V+ X9y4hFK4c+bNbmlrxpkDUCsry01elE6Wl5UgC66x+tR58+YATrgcl7//wfs+1hP1ehkV/iIG IDBjBOcqEMuftCTCmsoyMF5crpgr/BR3SqTdLmx+QWDW1LyI6hk+r5M6ValYuo+VSZ2u0pIg adiwU+pBjzRg6L/oMMOYRtRfsRze6VBvMSzPC2bAA8ETFEEmaVnlMoAf5WQhx7PPPhuSOvro o2E7NIBeYTWYmwsBL35Wj4EF0QxeRN0m6JUYFk5hTOOXbhF6FW4DNRM30H9tHIzXHEe0s9Ze 5hKFGvAeGAa9Kap64403RmBDHCCqX2WiuDVdKYhGwR+glAsBD+NhauCm1P7kLP0wSH4ZDAep 1M4+t2af23F3hQupKPZIb0WHmeHyV4z0ixuu/ofrebVKmVbsgNogKShPkTLM8ZLBIH3YCNoL lTRoDy1CdshjYAl7ANQML4KUQdfJJ59MVyxAC00rEgw9kyOq9sSNFCitDXqlAQBQHWroWPlt tBcAGAwjYR/6Bi1YuuE2IIf61NwdINEJZz/++GM4HtAl4YcjtKEfuKLKGpKSzbvS8oaMituB RitkGzBzIyvEbri+zlL7KTrMDJe/YkTf2jB2PlzPCzkyKmCglc0hbigY8oVekX+0HqBCIWlw +OGHm/GX0Sj7e+65JxkBUOouu+zCEUiZS958801cnABARdm1uDnXQvHgim4hX4X2QfEqXsNV Qia/LN5GP+xzCdSM1MeQ4CFETwMkMKZlccl1g+7pHETJFCFWs9FGGwEJOgRINCNkk5vCeWQ0 R2bjifQsDI8QB0bInwiHYlYjvRUdZlb5Z5bNPwPhQk+QI7CBzoAEbxKChkZJWoaOEbRAEWeP PPJI5CscMgAAovzb3/42d+5c0pvffvttbg19gxZA9atf/UorLNAJ0zyEyy20D/ygaVnpVGqQ llC/rAhQMB1Onz5dbEdGDhQYOkfQEvPhTzqkc9iR2CM4ZGz0Tw9ssDt+BQNAwo24Fv4JNugc BPKAU6dOZabg7lrAB0T1534jh5yiw8xw+StG7pUNb8/D9byQC5Ouwi6ldougoVqABD1BcOZ6 sckkEzlKDgAgA/ykk06iPQmbr732GvSKhEZwAFloZNTwmJLEuJYNzgA3ULW0bbbZhs5F8Vyl VQbYgA3AMHVxn0+2ChE9djB+aYagRQPJclA8AOAWQIXetIgVbeiTG3E7LoFH0S2QkNAFCLmF Ho2zcBsOwkJlmuc4s8bwfp2VRjYbFn/Fcnh3w3KL4fJHiVxAApM9hMhcDg1xhP4hQWhRCXk0 k3xFvWapGYcddthmm21Gkia8BXJnn5q0SuCDHKFXfmEFUDlXQfHo4m+99ZbCcOhfyjobl4jc tUa0bg3Rc0pp5/xJPxyH1mFTsBrl2MBk6JwG/MnlXMsgQTK/AJKnoEOuYrTcUSxLYhuWAD0s Z1U7RRVDR3orOj4zXP6KkX5xw9X/cD1v/zgA+f6tI1LfRXxM/ApwpgHpzVii99tvP6xq6BLo M3feeedRRx0lyob+EJ9gArJfQcFM7QhI9AYTgKbFIdkAgKV8cxw2ArQ4Lv6jX61CRT80gFPB r3Q5ghY9a+VdNZNvmrO05EEYKn8yBtXOpY0s4yCEsfEL6qQOAXJrSMP1dZbaT9FhZpV/Ztn8 MwPFaEJVUCR0LGOX4ARNo9LAlNDUsQGQ1QxUfv3rX8MWmNrRFvDP0AbbgBIqacxxNoQrlREk /QZEcUppnuAQEmfksBToW+sfLnWDM0DftBFOsArIQExjDnJTSVyM0xoqDSSzscNdAA9okZ1Q vI4/OSvdaUTRos6LDjOMaVj8Fcvh3Q3XLUb0eeUAZQM8zOiqnQCpAQ/LdKvCzbRB7BFbgO3A mqRbiw/AIiBiwADMEIcKrnozPVZ2MHZkWINqaSzz8UAbF2pBXNyvEk0Zm+AHDLAj88sgYYmM kLOMAaAquEFOJN2Xe3GE49KgVH5ouD7KIP0UHWaGy1+xHN7dsNxiuJ53oHndCl3TDtQp0UvF ACB3QmlYUpNoN2IFkJpAiPQTSJNZn6sEaYgSDgDbYaZnHzOxpDVN8IAEGUmABHigYiC+B8vi 7sqyxrvKPiyLq1Tug3vJRE6fmMuUuA5EGRggF0ppr1AgRgWHUZEQsUFJgCO9FR1mhstfMdIv brj6H67nHYhG6V8eSQaM0UnmZrnnwQkJM0zP1DeTA571z0AO7SULcRXqBMcBNlSOzAbhykkC eGQWAwMQOoRL5SdVvbECApb6isTHUN+5hE5UAlerEnAXztIJY5NbU+U1GIZkP+7FODnOMIAc UIFTyTmrmMP/UX1mlX9m2fwzA2EYGYZNdCxjLjuIOuQzo3vcc889P//5zwHJyy+/TKHAZ599 FpAAISWoMZ0DRchRghDYwAagcBUGKQM0s75c+3iBYAu0sWxZSx0S9E1XKt8BM0Fl4k+ZpGEU dMUggSt1DDkoRxPNFJDGcdCiUB04D5esv/76DB4sKSZAOUIjvRUdnxkuf8VIv7jh6n+4nncg 2QxJzDJqqXAzESvvv/8+MMAJc//997ODjEQwGHM22QF4bObMmcPatFAwZApCxHZoxuXYANhH MIMtIIyJudFMpTpBpiAhq8NAm/BGDyoQBTLBm/rhEqDCWTon5k32N2QzOgS6aFn0zxPRgHvB 7ripQgSAk36H67sM0k/RYWa4/BXL4d0Nyy2G63nllf/mJm8MYgxzMPhEtvnggw9QOTA0S/WH WK+//vrrrrsO5MAoOEj2EQT917/+lZmbDuX5kf9RzAE2JZ+9gIpUxlnF1AAwOoQVDAQY+Xno R9Y2+sS5KU5ItxwnrowxcByxjQEzEiAKt+EuoIun4Iks5invkwLSuPZ/NA5guPwVw0LQy6GT 4XpeSSwQGeQFnUmrhqSgbOkYUCoEhzQF0eOHgaaJjpENWr5LjYQ6tDw1VgHqaQAYepCcxlVM 9igVctLLhC1DGcBDOuJaJDfhgVOACi7BVcqghgkwDC7E7EYnkhU5BWdgtOCHrrCY0ZLeZFCm KzQoRkgz4CRxjrvTgwBJ54yQewl+jGRwVWq4vmbR8ZlV/pll888groiIcZtAiPzJPniAWPEb MkPLZExVXo68+uqrnEIw423DHBCHgI3UaxZygi5ff/11eA51AmRHVsQK+zJJyy4slz/90BKt hsuR3Bg8Z5VKzcZVMnLQGACg2UP9Qgi9MU5wIssEXYEBGKDqe/AnA+ZC1f6Up4hbAxKFRQ8X AJahn6LDDM8wov6KZXhHI33JsDwvVAjBQWFQLSQItUF2oi0WaWKSlnBFJhm+f6Z8QAK6xI6k V0D3XCu2wJ8KvoRGZciSViNRCrqHoOmWC+EnLDwGDORPRIJClBJHoisxKByXgEfh1ezwqyg4 OIxilvmTWyhvR65M3gl/AjMNEvjRmBESMS3mNtIfZWXSZ4bLX7EC3+mQbj1cz3vVVVdhSkKD 55d8GCZmVgWEZMmEYTyEkEGXzz33HLX/IGhkGFjBGWecIQEJCEGXCipDzwEbTOocpOyy+Ay0 S1cABgEMM7E8KrAv2aDJrBTYuBylSGoPvEIBbzRAPqQ91C/nPXeHNfGL0i9znPw8DEzLR5NI A1/ickQ+0E5LM0szGITDaC5QmtCK2oqOzwyXv2JFvdCh3ne4npeVZKS+Q6M4XqDmc845h324 ChwGLR+a3n333Znj999/f3M9ve5u1pzBnc+AoVfYAjQKaVLnGsqWDIY5iyMIVOANMpXao/ho 2rM0GiTOcbEpmQHollsrpB+KFwOR8wTqV4Qy0OKOjEfBMuoW2NCY+xK2gwWZxrQUorDjKV5G 8dGDJH4P9eUvW/uiw8wq/8yy+WcgJugbQoTIlBoJWUMTHBcqmK1hIAcffDDHWZJWCjf6NA12 3XVX4MSbRydB4oLuSaEhSebHP/6xZDb1AAYYG5vSxciQUdoMhA4PUZC/wABI+FPpA/xC6/Kc KJ6AESqNVDIkV2GqBh40po2YHveSMsOwlUHAKWQ8Rsu+wsxW1FZ0mBkuf8WKeqFDve9wPS+z MsQqz4bCvZSYpYgSGAKzuDzlCs1Eu+AIx4lrZgqHHKkSCH3DghQPRrIAAICgLfOAzGhstKF/ 3IvKNgMDsAVlmylKX34b9Bzgx3FGIiGQlvxyO24EzFRmDTUMUMl6BteSrAirAZZyxXBQAWkq nIuEJqlvRW1Fh5nh8lesqBc61PsO1/PKxydjK4QoPR46kxdfKZyKfSSxDK2DMDOZgAmfgbJR XYgMgDRBwh577IGLk7waS0uBxOkNHYlL4Ab4FqF4UCfeItgLLewALfltcATJLqdTjAH4KfkZ HkIUgkifzoEu2LAMCUhicDn1xi/YlpwGs+JXKtYK3IoOM8Plr1iB73RItx7q80JwUg/YgXok HVHPTTKYNukG2odeFdEsT4tcIj/5yU84BVrQbWBEzzzzDGlkkCn1zg888EDkN3AFT0COYlOl QhXQoFt1rqU4dC/aCBIWiQsz0t110Np0Sf9gSrmPeBYFO9MA/Ch+lE2+FyuUgbNqw+3AsJXq IxdF/5cwpK8wpMZFh5lV/hnIaxA1l1MKhhclgQEp7tZXF3X2JwIJVByB1jVnQ5FkZarkLDj5 4Q9/yC9KDjSKkLbTTjshvMGslO+JsgEf4HZawpa7y66NpEQ/EsO+/dYfP/33NUiL6Nmxhr1U gmYiIDqOQcqoTRvV0BkS9S9b46LDDI8xLP6KZXsdK+SqIT0vohFTLLM+UFFCL7LQqaeeOsjI xRxoIH0GWlQ6JPyEKGaKoZHYvP3221OZCc6DtY2e5RUBJ7LqSgVnUpdGwcaOCoutkDfGTYEH 0h0jgdNaGTsa50hvRYeZ4fJXjPSLG67+h/q8ggrUrBp5UAkQohqGNR5N+dafsA4pA1IMpDMo UljIoQwNkhh1z0488UQGQwPUcXR6zfR0juwnNsXtgBB/Si8SoxuIbwx0fCCOpPb9o9S+yTC/ 9s6RCaU7KSxNdWqG67sM0k/RYYbPgIKIzHD55ZfrjciZMNAzICfw8fiEKtSAjZLXtxLVax7q 80KvUuhxmUPBylL84x//OND74c1AprQXHmimIxAcMzQHeV2iOU7RlRz/7Mvxz44asKNaHIog lsFXIBzSNtA4rU7U4Gt/fvMqsRQGiT7G02Gaw6KgOjUjvRUdZlb5Zwb3z0AZQAWk4UthslD9 SKrIDkQoFp8RVGhmMRMFOxP2z2pnrEhz2223gQfagARkM2lNksfoRDZo7AHiMzRAvVEM2DBu lhrzX7V5kMx8ij7DMNjnnTDVLp/4gKLDzHD5K4bxQ45oV0N9XhWOYUhAS+oEhCJ9pr9401+w Ef1xRDuy1YK6p5566s9//jMizbXXXktYDdyDAByW2UCrRjaDCyk+GgiBT3ljYOaQKbiVUx84 DVU26y999d/XS+YId1QqgY4M1L8ycBgSjy/Lm9YMHdGPpc6LDjPD5a9YDu9uWG4x1OeFdpnm oSRVjYBo+CVARvQnauu/I5z0t0cJPETTwEn++c9/khGAYAMJ7rjjji+99BLXPvTQQwpmUUuO 4EKhZ3lLAaqC0wAP0trScnYGOzYQZuhTl1mGDfY5OBBmeCjeAGKk7NSaBeSVGumt6DDDO0IG 4HtQ4p5ZjT+Z1eQKWOr2v7b+DC+BFwIpq8aXqnvBKKAYhSEz6cqVDn+w3BeiMFXc43IyAjiL fRk/poL8peuT1UzFJmZuPDZcwg7SGpxNVmABFf5G51zFKYXSYJ7WBA8FF5aRMcMFpAVxRMVr xE7ZoR9VvVCMDL/KW2Y8qtIEerkLvheAqiBrupJVnV+Fxslvo5QHRoVdhE54G1aRne8OG5k9 ZJYwccuagwWjSDHyGUamgAtWrJfFkwEvw3os3/2tLZ8ehvq8qBDYOcyPWNj4olAMcS6ie2nt MBCiUXh1fGOomdcoDwaoYDIi0pnIFOzL0KtizAjW/Mtf/qJcZS7B0QlaMKMpHUBRzBAl96U3 pDLdHRrlpvSMv193pwGdMAZ5jbDscUTBNQwJwBATDQIJigFyeHiUnEwDbgcH47jAQP+cVVYP 95V/ljHAY+mHnhVYwGDQYRg/BMNB2SSG66vpGZeqVhUdn2GgQ/JXyG7W31/BtxzcXzFcr3W4 +hnS86JCQMR8S2UXQzR8XQQtRbKAKMKxoC3oD2KCNGE1Cm2kmeK+iEeGL0HZlAKE+ODqstIq quW4446j2S233EI/ULAimiFceuA41AkCOY4/FFbAhYyB2ym2n4HRnsfhCD1T1pkjishUVswm m2yilW3oTQXWOKjsazWw4hUEZi5XeA6nFJCmCh7igbRBEqEN+8wRVr7QcH0X9fOlcMvCboWt GPnMUP0VyqZgDsOkwy+vmI/X318xvG9w2Hsb6vPysMTGK5YRskPxBRW48NnhCOQFQhREzPwN kMRhoFreD/fCgj9jxgzSMIEHKZm0hwohBaWp8PbIwKFD1tIAJ2TgKE5ZUhCX87YRmeBFhJyp 1L9Yk1ZuUkFa9hVAQBIBfYJtMQFa/utf/wJCqrjJxyLIjR7IYKO9XCsAkgQEiZQMSdxSqQcs dM7lzAUc5wFBqTibUtM4ziUkVw/XB7I4+Te5TdHxmaH6K/7X/DNQIZmSmpJV4wuyQ/eDdJjj 5aCQ5xFqg5iUCcMRJngIGuqH8jiiGjTM2apBwb5mfcDAK4UWoWlqA8DHuATWDUtRDIG0jkLZ wARj4BaAgR5UCErDUG9WYCiQoBlUqEVpOEvtG34pl8H4FZWjkTMqsuJkXRD1S8+R/EYbYMbA 6Bz2wjj1q9po1M0ha2C4MGP1I0+R/ixePgPTh+Mfc8wxcpktWz7JsL+7EepwqP4oiElUzoTN /A0BQUzIWuSZ8a5gI0zJGL4gblaYATa4biApMV70e24HYYnugQRUqHwbwKMalhRw4k+YCfSB oiIBDDzwLUTfghbwUHiodBVuAXOAZalWE+wLgEkhUT0NDiLOoc+I7NZee20tqSkvqiqUk+9J DyTwcIrOOQXOua9gKSzRsxZLY0fRZbRkMDSDwQ7jN5Ik1h8wxYuZoforVM+XN850KNM+NIRd aBhf34h2NdTnhcKU9C+TkeJomH1POeUU6IZAGGiIQDKID82EI6wnQ0uENxpTbgbBBqKECnlR WMl4NBV0pb3CcMgRkBgGudMGSChin7Ngg7cNubODfi/TsAJwAKqiB4QBelC2mfCGiAWhw8G4 L0CCvXA5wiSXIHfxp/gVwaD0QMo0p+hEFQLgUQASowXohYJBEf3QOY9D2py8maocQidKsxv2 7WuWgGKUzVatPzNIbTvJVJrzpNlDN1SWAB4iYjEBfoEWRA9d0kAFkDi71157sU96mTwbYiDE NQMz/oQP0AYyJSMA4sZ0Bk3zJ7/QJSgCOYhV/AntitFxHA4jvqTaGlKB2AEwEDTdcpYh0Yyb sg/H4HJgw1lGqPXV+JNLZCyWr5aD9CNDHIVyZLijE92XuYYdOgdXqupEb8OY9txfn+kvmLFf dJhhrP9T/hlkDOVFwiiU2iW5a6DJ0pIZpBjABKzCRVJXlJgFQkCUpVpwF+iVX8gRdZkMSpmJ uQSfpnQeFqaVVKwkMIDEQWhUATWMCnjIu6I8UFEVxyFZ/cnliFVay5ZmWrBJnFBRoZzVc4F8 YMMApJPIksaf8u4zPLEg7g6M9ZgMVeve8KemBlUXUCaPpZUNlcnsvbeZ1M1Necyf/3xPcE5v YO/YY/dEl2M8yn7L5L+sElqMmBmqv0Jr0PEk0JBk7q/lkwz1JS7n9nx1vj1fZdq0aVLc+U4W M/nmYL4mYVsNZBGmKyiA96ClMGVAg/i4C2QH7UKLiECE/aP/8CecAecM5Aihs8q56s1iYwA/ YFgOUM5CPfTJtdh/aQMeQAJjpn9uJ4QrI03rMSl0UnYC+SI//fRTKF6V/7kQYRJapGeJpmCD QcqqwYVvvPEGbXgiEIIAxi0UeaAHFCNiB+5KY1X/EFPS8w5pe/rp54kbAu28gfvue/iFF17A fo3qdcUVj7LGKDfaaqutoCi9WMUKFx2f0fzBK0CF5V3IAaz1Spe6jQL/DIQIxZx33nmqqsp3 GuR5+8eeiOdoU0ak7CVQKsTE5A0VQm0QMQ1EnXx4dOVNN90UWN5xxx3oPCCHGDM22qAOUTeD Zc9wcIET3jwQBQyyBNADkNBKlyJfvo68+HADVYrB2ouJWT5KbqegSZ6Is0hWDFJRHUzkkCaD wRpBGx5KMKMBfINbyAcKA9QwGCSdKy6BkYiPqdwmd6elytwsg2xGn2StsjEYbkHF9/3330FK GuuKcmsqttGmotQs0vtlkM6QQLkcGjN0LJK8Pj4n49YEqbqjS91GgX8GpRzKo9gSxC1WoFIv S914IdYmnmNxHj6waufxDlXwGyoX1cp0K57AQWgLkUwRMT/96U+JCQAtW2+9NSRLQA1MRi5L yJEGNIbo+QpgG+FKUQj0D+oYqkwI0pIFSPgYt1aQC0QPjGkGcYt5MgB26FDJc7ARJm86V2gP RAmvUBEzbsQR7q5Qbjph3yqgwVzAYBQqylnuwlnJbEPauJYXQqwq61dzCz7B7bc/gXtKtiUZ M8xYVTMOwayLW4x85n/NP8NHwqwEsZIyqXmdr6VJekgbaIF8IWV6UKiitH92FLIp9UOmRWgL oiTVjOBOplh4C9VnqI2GqZrEZhQebFMMhoFJIxIkpOhzIwU3wSJAOCITZCeXIjvyZrLuAHfn KgbAn4BNvmatO8tB/uRCmJL0GUYIafISFFEm0udZQIsCyTjCO4H9gkktlcOf9C+GLL+t5ogh vTQaH3roPrK1Yvb4xS9249EwfrBe4plnHqyECKwLjJw7MmZJhjbs9wQgqeyIUpdkjfmafW2o Q1nm9rK08EaYhBgGn5ZXbKm5S+2WB6MZooimAUkjyzyA5XyhnpfJle8tPiOj00DDkHjQ36qj fS4X5bHD67IqudAnmxyOImuoViSIjs4l0K4gxFmJQAwGYuUgfypumks4SCcyT8kHKkrVUDXr y4QgzgPlqdaHAEC3XC7BgbFxO92RTUEx9MO1kCxw5SC9CTy0t7Q7xsDB/vRgDYYBqOfKSvPu 3JCXwpuyGzmb+X9iLJk1bNm8O2HYUnZjze/tcvt9f73vgScCgZo/33zTgb/eK5vOuGxl99z7 wIEH/aI30pvJ2d5+852f7rhrTbnd71505G93a547t6wk+NCDjxadPjNUf8Uo8M9AGZCCVAsA AB0PEsctwUxI0CZNGknmscceoxNyYCAZTduSyxVAKcOubsFVomzIFNrlIIhClBKTZzBMQ4Ki yqNxnPlIKpOcNpCvuuUIyowsBDSjW0zJCjnjTx5NS2Kg8dNe+o8CzDS7cxduLeYDxuBXEia5 l8QtLTgDhKTM8GZoD4uTT5MLZX3mOMCT5WNIG+PZ5ac/pSSi1EJ47/7776ohWfqMGT8eKmPw mrCKjs8wJmDAN+Bl8aLRFCUBD/IipDvykLThwy/DixvSWx72xlCAoiclNQ3CZJg6p12CRz/L 3GnLMWs684Yza8/kDFP0yqZzjz301MJ5S/546snBEv8hvzsY+dxt98YL+IGqNGfLasIb5r4y cyODISBJ65B+CCFyipcppQWChrbExmU306+oVuHJIin6FN1DwRyUkZpT6lkslKHyiQGA2JeA LeVKUwY7/EkbAdva6ESsWEcUeaBfSUbckfieIfEZLOF+L7niPc898+xPdtovm7Nnc4mXX31p w42+v9rkNdqXtI+r8zqNueecesSizz/LppNPP/Vc0fEZHn60+mf45BJU9AsBIcBAi5JSLrnk EggC2NBMNCHFvb8wlkzFnZ7cHnvvsMfPNj/umAMPPfDAM884u6Ku6pUP3rj7iXs23Or7e+75 6/H1G9547d2nnXEu1V0jmUgiYyafyCogVUfRytxdlgaoFiqXG5GDssvxCWjJ7KPjXKhCM8xf 9AOZ8itIKFBSBmWO0Kfy0oCBJeEDOT2jfPagVzGdQE7BbIxHugC/7NMV+18DDEfEEi0IKUBB v7p8GfSZgw/aEwmOl/CTn+5ywC93M2y5cKRrp513PPOs33z88XQ0REJazekgb3IY2eWKDjNS gkdl/oyisPTJIR32EWAUjgUVolVCcxCfZQCQLCSq/Uqtd9od2Xyur64m0Bdpaxg3oaKy5Pe/ O6Kpe0nZmOC63193n/0P+Gz27FQyFwtHc0Y+HI+Q7cUr5V7cUQQKBegWYJI7IoeICYgmOMsR 9GzoW4tzIHrRg4JB6UcpBopEZoeuwAndYtESx6AZx8VS2PQ16RwWxAB4CaJylXhmh34kj62Q 7f77n6MigmLn7r//yWeeeQqzLbLeFVc88NHHH6Yzya223mKVf2aFfBrzphZgZMWSQUnZINAW tXJowOSK/ZSYK2nYqjIjhz3EZ7cZqUS8s6PJ4cx1dDWOrQ+ttcFqZ1x5auXY0IKmOWuMnVRS 7g35fbM+n4G0397dXFda09Rs1tLXfAwwlBAGl+BGkCxuQYlkSqyHbuAJ7CvgH28MuMIczOzO celCnILbgC7ixKSE8MufIEdZAOAQzsOwuR1Mg8dhakCrkU7FvvJ58BVqVASwLQN/GK6vyGix tlNuV14srIi77baTzB6r/DPD9ZKXsR9wIkWFSZe5lqkL2qUS5A033IBvEYcmYYiElsJtCP16 9913JfdDUkzh2v9SVrHlt9pii/POP+sfr/x9cXNkTEPl/Y/e9c+33sm6ElvvvVl3rD2VxZ8Q g9WUBAOdPW31Y+qhAOyiSnKUPxGSVRILK71I7lLmmUyO8D3AA1rgDGJ9XAU2YAgQt4xXPAjI kS0OdOHPkeYpm7JyxWBBEsDoH5Ma95VtkKB93gB8ibhpzg7ijFrGdz2Uyxghj0OaKmEQkglv ueUuMotW+WeG8hZHpq1lu4cKZa7ga5E9hj+RhSvwuzPD4SEhaP+uu+4i0kTyG4RLY/kiTGkq 3hePRV997eWLL512wC/3qx1rHHfK771lzs12WGPK2vWeUntb5xK7KxMq8SUTca/TVVtWs2Tx IlBHOAz3VXC+VG3IFxJXiTPoWDWZOA60oCGOS6sEFSR7cQkYAC2glzgx+A+Qk/YlMQ8DsXwX HNTyGNZjKoJGaeqcRdKjK24EtDbaaCN2GNUyxLwM11f65S/3YGDMCyRB/PznP2PkMMOCf+bQ gfwzRafP8K5HZf6MbEd8EiQW6FWiDnSpIEtoEZlHpi0+oWQVeJFYkyW6+H3+KROnTJ4wsau1 pa2txeE2qsdW+UrcnqAzmYu3tC2ZutZkRPBQCfaxQCwS/WzWp7xMKFVBkMp/1AYUkaBE5dwR 0xm0gigPxTMMZlk5fBgkwSPkTnJQo0UnJgYZ+Uq+F/gPl8tmBdhQgbAoyILM5QRB00COS27E 7ZT6JoEQ7qSoTSU2r5Dt0UefJ92IR+MBH3jgSWLPGCFvZtq0e/DM8v4ZGy9BWdzS+ooOM6PY P2OpMbx3Kd+QEcDApC6bLExACSdM8NJzOA66oFSuLZjR7DNnziovq2IlC4/P39lt7PvzfUvK Qo1tjQ/d+mCoogRaJ0aXC2PhuC3nWG/N9ZNJM8VShV0U7yjEQrIwBzEfsIRiw3FmVu4le67q mDEMiAaHPW1kIcAsTgMwpuAX7gUl0T8kBbuABck4xp80RldhR3oR8IA0YUdsjBNZDjwDMC4f obyXbwNC3jZ6C/6ZQfSZr/lnig4zMszz9gm81SoObIPkk/AZ+JxMaUxdPLaSPRByvs37Wp5t eO8QpZx6jFaaAGTEviX8gBCJQ1AVEhqzNaIaVxGuyqORjEkRgPKy2q7OyHPPv3zTjbchrn34 4by33vpwzJj61z57w+fDHmXzBUuzScNp81SWVVPy0uMyXTHQMeDUOk3yYPJLz7w6hDF5/WVv 4O3xJoGHVBrkKFkOZMRTqLyiChgqIo0CC2A+Cv5XdU8eik8mr6j4G7egT5VF5/tyLTihpd7G 4P63Ef1MmpIwnRHRzI0YzK233k28mSJBeS1EAzLmnGE6cBWLVHSYGa3+Gam/fBJoS1EevH2t 7arQXcVT8fiSo8iv5IOR6M8v4ZtcSK4l6rZh93R2x0845dxzz78sGjHOOuNPkyZM7mjp9bmC Y2vHtbd0ZdPGJdNuuOjCS/i4Xg+RRynFONK5QpIZBliV80emCMbGn4rXAhLwNH65ChLhvlwo YKiiDZOUdBWALTLiQlgWXcGy0Mr4BQO6hFtIcRLD5E9uhyWNs4Kljq9AW/Pvf7+v1MVddtnl N7/ZnfcAkrfddlv0GQwkPOwq/8yIzlmDda7IEb6NfJSS4KEV6cdSPZVzBk2zI7+nnH0KMzF7 sDndHv+ECWvM+mTWRx98lk9Hzjr+wng47Tb8555+Ycvijrv+fG9d9Zhnnnru1ptubW5q97h9 EDRJMrALETGAJFYfG52y0ziiBTThGyJcfpHmld6MVQByR7ISV0SHkVilUX3/+9+HcQEP1BIe AWoDZvfeey+40no14F/x/0CLC6E/IVb6D3dXEgSCnDw2K2R76KFXnn76aZ4aZnLnnU9iylOV XdM/syp/ZoV8Euum0IoFAEkscvnzeZikoSpoiAlPRgK0BYWQyCmuiBJTKnC6jj32xMqayT/c bredd9rHbgsZWcOZ8X787hfz3uv48K3pr7/4Zrgz+u6H73JVdU1lY2tjc2sTmj2ShoQrCBd1 HFKmc5RdThEDD8kyAFE5B6lCJpQCCRoDEsaJNg+KYFDf+973AA8NMIjDJ+lK7nlQAcbokLuw w7OANDQobgQ2gBZKEf1LTVJ4G9U85PqUNWKFbAyDmG6SvRUNTIj3DjvswJw1iH+m6OLNpKTy xpkarWjcwd8mj8p7x4iJWklLK2RjhXyDwW8K6cvkKhmAavw8L4YpaBHkYJ5ihobCeJBDDz0U ahNf0sRs4odJGg9666KxlWDJbdiq23p7OvOtgXK333BUBye4c3XlztqWtukMI5aPenwuO6pN 3uRvkoLknQSfgEELnaOFKw4AmYopVhq8dB5xA6iHAUDoAI+PIqe+XPgMG9iIUfBLDzAl5QhI 6lOIGo/AVTJsKISHIyoPwIZvFJv78H0sFUf/tnHNXZ3pCeOpxdHyyMMP7r/PoZForC/eO+Oz T9Zce/2xtfWOjKOrdfbUCflzTzty7icfVZSV3HfvA0Wnz0i+582OsvVnoBJFcykeka8KYbG6 2CGHHIKKD3ggYtwCRx99NP5NfAUy4zBrQK+0l6E2lc0kc9m62jHtHV1GOtM8r7GmtGxC+UQn WoPh6Iq2ffrhJwCms5mM4ozX5+iJd9qMPFEFKnOhKrL0yQ7zq5Je2AAM8pXWzFBEGWStRHwV xFAQJDDg03AKwNAnZ5Xxz9hkilXqJd0qjIBrac8RJgjlBtMDzZRMRgNlZdKVlKsVsh1++K94 IaAd69lBB/1E5hDKva/yz6yQz/H1m0KRMiXxVRRFhiQDAUmRADDQrtQe2ZHEYSSVsZmRy2jn kZ6OaHdtHV7F7jEN9Zk4odwdXsPT2tEaMHxTJ1d1LM5WjvV6Qs5PZ38U8nnDfRHVEESNYaMT KF7R3zA06Js+8bfA5bgvg5H/HjwDAKQyxibjGGOmAdZhPYIqYIB/ODzH+UWzp42yGOBgqt6k Akv0xlnEB3ZAJnQpRFm1pyU3rpDtkUeeJYdCFdhuvvkRrGeMGQit8s+skM/xHzcVr7AwY4bK FqrAQEzCxuOPPw4NQWeElih6l/b8CalBdvzJJfzJImNlWJPz6UoMBjYj2t03tnKMO++cVDWu L9ob7cxUNThyBEbbMg0Ta/NGOo/GU+gK7oEcxR3ZAAxTO9xAYAAA8tPDNySScS/TKVFWxkiU CQMnYfDIXQBbwXLgRCHJnJLFQsoYOyoGKymOXzpBcgOQNNAzKhQAHiXHqFWPZvl/J+5OaipJ mgySx6HG9D777P61eLNV/pnl/13MO/JtoEVhBkKRxZmD4h5Q3u9//3uIGDJigoegpcBI4pfB jV9iNHEitnYs7otH6SVORCVrnhnmwhWxTMxwGMFyJymJZqd5znv6snEoW9Kdajgxo0Og8qjy pwJe2FTEFXxySp5KGdkUmgDRqL6HtBdhhjawGk7BOgRyGvBciiGQ0kIDBVMrHkfQ5dZwNriZ uJb8pCvmqxSs7Twyi+/ef//9hQDt7EMP/fXJJ5+ORvt83kAmnZsyebVV/pkV83UUiiJPCOQL ebFJNYc6OXjuueciEkBPVpaI4CRpTdYzyHDRnFkTqmo8HldLWyPh0FUNZYlssi8RM+zZS6+5 /OxLrzzjousdZbZYKp/LuEscFbasyd9kBxO/QgwTpSpwUwcVmQ/1KKhMqhSjVWiMFDDwg35C MwUpK/9cThgZzWUYkCtQCOQ4D6U28BmOyzEFZ5PMye04ov5XyLbvfjvgakbf++1vDt1l5x+5 XaTopffbd/8/nfrbOXPmMWupbjr5M7zGL3N1iq0eAONTSCkfgA+p0teDx4orQVzZvBKyV+A3 GOjDS3r55oNIsRFV8Qhy9lklATSdi6zNLZ++47brFy2ebXcnQ2Vjkomq6jHj33j72YlTq2fO fX/Xnfc+5bhrm+d3/PFPp9TVlRx44O7RSPfYmnHRsFkCE+qEMvjw0DoajsKT4TP8qn9oWkYC 2sivyt0V3s/w5OLkoJUYwyUMnjYwGR2kZzqETwrnVoItug0N4Cr80jlXKWcTxxEA5nIFCgwT ZoZmNyOq4c3XX9t99+1seaOjJf7W2+/9bLddMrlM3uZ85MHHDjvokLpKZzzy4bl//N17b75W U1Xx18eeXGH4HuQFKaR8lNU3g9oAjOZ7TedQEkQGIarSHGEyIibVJRvg/eSjsd5DDznwtNNP 2nSzDU848Q+HHPbrsuqypvamz+d+UTduzLY/3KZyTB2ryZ56yimlgZKGurEkqWkGYUKBlBH/ BBihkfesRSyUOsZIaMOQ0Im5SmmJDEkEzcil8UPlCmtCV4H0eSg2czLO5QAMz6U/Zb/Wsk3c V8ZlXoJ0HsZAVSc5haT5rJAN4zhFqnbbbTfGxjiJANhjj5/p5VDOCjMJZj29QJVdZ6foMAM9 jcr6ZuInkCPfA7qRfK8qZPzCYUgHgGQhSkk4IkGZ2vQJ+eVPv9fZ093y0cfvrbb6eMoheUvc V1512fMvP1/XUPP53JmXXH5JZ2d7R5MZ9Elh17a2VuRyrpJpjpkeIoDcuSmoQKmgmSqRawzC leLTdISNMfMLxXOJSsvqKqQvlBy6AiFcSIyJMnx4UujPQog0JT21RD7YC4BBggBdeGbobQWW cGBIzAjoM6zJIzv7448/xdKISkcFLfpksUQMeGvuKDrMMMpR6Z+xxMX+ciNzsKR5trPOOktl iqDpL+toSd0pbBw3zQC2/OJFcydOHBsKeqqIUQ/ZNt9qo6NP/r/vb7XxjDmfHX30Ka1dLb6S QFecokdtXR2ddTVmZJfckTIn0AmsQARN0DH3hcPQQHBlU8KCJn55VFRySdEloELSMiO3avxx CRigyDKXAwMVcKRP9mmvhaYhOzoBjcADJyZrrWnmJluTMUCgK4TJcFPK8PJOGCcz9SGHHMib Zzy77rrrBRf8dvr06Ty7WG7Aa1ZaK14+MyrzZ0T3lrkJqKBcstr4TTfdxJoWVJaDvbDEH/IA 1YpZ0OJLkBQsZv+mJ7tREvJ1dza//NJzvzvmNykMZPb0Hffe8cjDzy6eHT3i+IMbW5vifRGf x1i0oKmhviEeNYvFQND8QsoQPRSvVQTZxwYAPGQU5ojUGOQxSB/moAQ1bo2zBXKHqkCXojRw dyoNBjJC0IKwZLcAV0piI5oTwIAN7qsMZ24n65/CQ9966y3+BGzMj3SOgLSiMEMEEItXq/7B 9OmfMTDVHLzooofI/GPAPB34742ahUFkHiw6PjNa82fkGUSMgUTk2tMylFQkwwNNUbL/+7// ++Uvf0mMI7AhmsYSxvr7NI18Juj3BAPuffbd/eZrbqyu81925SWbbrnJD3bdZJcDNn3rvX8G S4O0iSeJpxzbuHAxygyJMvIYQqxKU0GLgCbQ7JXrAmBkQVaqpvwzbOInbMSMKToGPCh1GZYi SNOzpD4JXXAwCI4vSEAaTIwYRwk2nOJCU7D0+6XMgEnmb/YphsbdrbIhyx85TA2bbbYZ08qW W27597//nehmPpBSm3DawE75FhIseSESsIsOM0w/ozJ/RkVbJJjJhgbxKfUPsmOCZ1ZWRgoE qiAU+R+1w6+5pdMyGXd1dTT1LGlv7HO6HelsMpNN9PR2caoEzGCVzpnfVTIVpmt++eoMQGlI dCN1hRvRFWTNMBQ6qT/hA6Zdu+BgAVGoLmxK9YHWVR4A/EhL4SpNwOwjVUqlYWqAgYBAhX7q qfnV4OmKxgwDjgf8uGoFxgEwKu4OHhgVkwjPqAxTBqySVKo+5fOaC3toQi86zPA2R2V9M0VY ybyr6Qp60npj7CAFQTo0gBy//DAFJUfxJkqlNP0kNnJRol5/gN8lS5rGTy0/+cSTmLp5aXff eBfRwhNqx9kdzli0L5kAk17D6YIF0A8ECq3TTKWThRZELIVsSmKEgtlRHCccSQinMZcowlK1 jMVYxLKYnulWIWdiEUqfpo3wxqazNFPIpriT7BlQKuE8PLtM7StkkxNJY+bBFSIkEdSaO8wv YZgHNdkVHWZ4p6Oyvhn8RPGRVs4jhIsDCkplFoeqFOKFIZgGvIEzzzyTz8aiNMgGL774Irgi dpPgmerasa0tXa+9+taTf3160ZzuF576x/tvv+u2uf7y8D3jxtZ/8tnHXpcZU2x3GW6/D9Mb RMw0CVEyX9KJqg6wA2cjnxljl0iWOwJg6Jt0Goaq8DMCN0EFsFEoNCTOWZmnsX1RAYOPRVfw HHpTKDpsByhKAOMqhDRV7qQ3HhBRB0MZk7fihnhqBEV+abBCALNsNy06zPAYo9U/wyylcBh2 wA+EBZnK/su8yylWVNb8DVrADG3IzSRBAIVHR4ycvXFxh89f9Ydj/nT6aecTJvPIQw+H2/vc WfsBe+9vxymSzvf1RO656+7zz7/YNL4RAZDLgQqQiSqvAEoJSByEcBGNmE0ha3g7Uz6DQScG ACCEg4oYYGBsIBkqh+KVDo0NgPQs2CZQ4TgGBmwJoALYsC+PDfjBGKBsczqURZtJgR4UE6DB 8MjC2MqyFR1mRqt/RiIy0y3ExLTKY0K4Emn4k2keCpMuDq1DVdCfZdxU+jEzOrkdNTXEU4a7 umKzPp23ZMGiA/Y9eLMNNs4njL1/upczbdxz+13VtbVXXHHVTbfcbHPYeyJmIQtuQc/QNzih Z/ADQ+O4GUZVqGoJQcvDyDAUiQwRQ+IYW1XrTCYvxiCPJKeUucmmwFOGykEl/9BGAZ0ywVlh DZJLlTikcmdC7+BBHkUIpKLDDJ9nVPpn+PbQh6xnSveFsBTLxOwL5eFhVAgjNMRULYYDyUJn ULzqUwaCJSedetYPt//ZpAlbECmz7uobpXrTCz5f9OaLH8z+uOvBW19669U3/W7/4nnz2lva nV4fmdA9YdNADDWDFmn2CGnSZBgGd+QsdCxHKiiiAQKY5Ct5UeTlVNgooGKE6MpSThgbnYAT LoSPqYATl1j2MQUKcFCuG2YE+f5V1UmhaOwrFmFl2YouT1OqmOL/+MbKOLVmtaW+VqUZQhbF vP6MIrJgMppoNf2TagYlIcCgWkBzHEccAkiQEWEBvAop4lAevxBuoi/udnh9IdTW9pbmzvHj 1w2Hs3l7p8MbDbjzpXVT472BTMLTHet0OA2bI+V2GC7D2d7WQYcQK/qJcjDZQAIUr7XBhBwt R4HcpcAzpTTLPgZ0FS3KI/A5uJA/QQ6fiUGiI0kY4xPQnmZCDhdyFqxirdbaB7SnGUfkV4XF cVMynLnj8HGbocWbsX6pLU90XJR4M1s2yDoLpFHkOWQ47HknSRYuo7e6vJN4s9kzPnI5bE88 /nTR8ZnR6p9RCBbUqQeE7CAsygRTR/O6666jsgwEROFZfAKghU32K0gKQoQJKGS9tLwszdIZ aUc27Rw/cY3WJdESn6M0VBFwBtKZ1LyZH6X7oql0Z9BHlH42lUmnchlKb2rWh3WAHDlYzNLP BdCK6BUUC+nLUkxjgK19S7iiAcxEUplKy4INsKRAMqWpwR5l1+ZCQYJOgBamDgDDLzyKeQ3N ByZjipqFFTvUfiXaig4zo9U/o6kXulfVTGkySuqCdBRvJhlGDj6xVihM9SjkCUHp9wXd8VTS 43XlUn21VcG4adp15nNOlzPo9QST5AAkjd7OVFkIQ5yTcBev78uVeeTHpLUqYoJJy4VPzwBA 5WQZDNBSsAxaB+25UMk2nAUqiuOkjWyyspUrZYBLUH64RFZ1OCcHaQOWeAR+gQ0iKGcBEghU yjSGweFjMssDekWHmdHqn4EKpcwoFkZhKdogHZBD+IzsBEzJ0CXvwdoU2WX6NPh1GX2ZXrsz mc/2kKfJCkWs2NQWTcxe0hLwl0XCPZlYorLMzWJOsVjE7XGzKB535L6SlOhHiWKMR3HW0sKh Zq02ozBEBStoeAoLkLuzP2egEg3N4DxcznExRqAiwY+e4SfAQzHait1WuBot4TNKs1H9k+VB 6cN3j6LDzGj1z0hPsxzemoD55SDUzHbFFVcoH4vpXKXAvrnlbUY8nfH53W2tC3PZuOHK9ZFv lsmUldXW1I/rTSbo31/mTYdjXe2tJcGQw3AuXrJYVjhoVLwOGtW8rmwWOAC/8nYP4luUHUzh ngAMpkR0jFYFVFgnpwiEoU9MAvIMsq+itVyLbVrhAjwjXEsBZrSBwcKjVmDt2WWAUtFhhmcY lf4ZTdj8Qk+yREG4ktBUOI9au1ISEG/QmJf6LflaXpczAPRY8DEYSkUjpdX+RDYDczFsnouv uOLyq6+58ZpbXB6/zaBKk7u7Nzy+YSK0rsrloIVsEP5UVI4CWBRAyT60O0geCwxB4QsMEr4H U8LYhXLPn6pDCzbWXHNNiZ3iUYAQE5xKmXEjAEkb5D2+LzeSGU3JcKqQuLJsDiqgEY8N+pkk SL6xPq0+8PLfeLmS4H/wgx9YQoKVUvLN8Ujm4SMx5zE9s8M346GW/8gHv6PgAbfhAUVSwIOX zC/DhoB+9KMfMe8qYF5lUL7ZIXzm7LPOefONF+d9/sEjDzzw6msffPDJ7AeffuzzhV+89+k7 iXjyjpvue/bJ5z1u14cfTd986y3NOJreHqBJh0piValOefcZBkhQwBi0bgUyL/VBRPH8aswM krBfBWjRiVw3QF2RAfooIOHDDz/U4hzIZgyAO/L42kE840NzleJohk+l0XsrRJGb/+Od6Yj5 V95wZDCP2Yzrbr5v9733/2QG8ZdOs40txQW2PN/FzvKA5mUGxRfsDvNfMuCLb7f1Jl1trQ67 7fNZXxQdnxmt/hlrUpfPW6QGsfK8oB1SRjaTx5P5gml4qbIZ37M04D/8t7/51S9/ftTRR5x/ 0QXnXXx+3aSG9z/96Oxp5//myMO/v/UWLp/vskuvuOLSq/i0ke5IZYW5lLGkPqiZmBd2mN0h WZAD+UL6sjdAx4ObsBgSIwT2NGPMm266Kd0qUw1pTZo9UFTFZykwFN0U71IoqsprEEDAEXgU 0NKKooP7Eopt+is6zDAPjdb8GU3PUIDEM0hN8zHUA04OP/xwTkF5HB+Yr+Y8DiObjC2cP6dh 8gS3LxgJt027ato7M95bZ6N1OyPdV113jcvndnrcnV2dHa29dTWo9aaNWwv6sUNmlYIyoW/o mBSaddZZRy58eBHkOxCBIkdJ29EI0U/QVcRDuJZPpvqxPAg9cwtpbjypXDpwM+lpwIlANTxF zBegiCMSK4oNGIOMp+gwM1r9M6Zw8JW4JVsTR5TDyA5iDOtpSvKBtqDv/nYza9/IE6XGeiHY uALpeGfebuyy726/+d3B41cb9/mCmdtutulncz9raV28qHFuIh2rrSkN90QROeRa4RZKiYFA xTGgVxydHKEBhKv40aXel4OygCngV+mK1DhX5gK9ARvMfexIM5EVW8mh9Ck2wrWS7gg541px NjltVy59pugwM1r9MyIazV4CDIIKcQCIZCyjSfwy5HvKKadgCeAIRTDMuPOlbblM0mHP3nnX LVdcOc1HvIsjde+Dd77/xgupcGSTnTefOKXB5nWGYxHE8q7unrKyIMkyvFJRNvKYKixrvkdO UzSNvDHSWAbCjJyVQgvjV40lUCR4wFXok1/5Z5TtDC/CVMBVsgEo9wGeQ6AntjUl84jVKINg ZdmKDjOj1T8DQVhSu3YUJE/kMgHLJ5100kEHHXTBBReQtnnEEUdIsWHihzohVuiMP9khVLKj o2XypLF//OMJp/zp5FCpceW1lzZMqNt05x9stP3GLp8R7utyOLOsp5lJxSsqSlpaW5SDQD+K bkZwAiTYe+SpVFoLB2kAc0OCgpQJbIEjKfVFRmSZoZWtyeUIePxJG8lUxP7QlWJPFTzGPkFA AEN5ODSzrNtcyI10IWPgT4mpKwtgTOm02MY6Wv0zmr9FKP33tTAYPAcig7CYj2VGU5qNcmwg RP5kn/nY5/c0Ni5palzYF+5obTYCPndDfbXbZY/1dcOC5s79IpNK2Oz5nt7OcLS3rrYGAkXY oytugeIkGxcueWApaoa+VY4IdHEjtBStJwNP4Cou55LttttOEWVEYaLzkLNAY7AhmQqDMl8N fYbn4izgZDqwXC4c5L40o6auit/KuIwexVX0z+9AtvViI06Np+gww5hGq3/Gwoxevf5EkQAn ikmRwAYwkGpACHKUUhohVhwskCnIMY3pbpeiUdZcy3gW0+4AAH8ySURBVP3TXXfxuBzNixfd e8udtTVVP/3BztRnXtK4pIqVYTo7Ysl4sCRkRS5j7FKUMTBQqKXKXzDTA11ZsSBr6T80QHDi LBimSgEClfIClAbDqMQ6VDIGTgUy4ULiGHAesMd9ETiBBGOmZ9QYsEHPxAdwkAYMRoFqsoCv LFvRYYYXPSrrm8l2DFl8zYgsWRQMIPpzCuOsUrWoqgEhIrPxywIbGKZOO+00UzNJZl1O7ykn n375ZVe3NaVaG1te/vtLIa//lddf9jm97854z+mH84ybM3fuxAlTUjlcETbivuRCZb5XXTWF iiNcgU8IFzBwa1gEKodCEPiVy4V9fklNg5kweC0oAJWDN3rgEsidARNHw4MoNoeDsCOilcE8 eWwAkgFwL5APwIgeoE8JciAQOZABWGWjVwrYFB1mRqt/RmixMGPtMEfg0IADQI6QHWmSHCGS hUhniI/FdKE5DAMcPOecc6gQmIhna2snXHrdHRddcGmk1zj26BNry8bUVo7dYZudZn861561 lwbKTz/97GefeyGRyzucXkLUmINgX+IbjIF7wdZkGobLKahZKwLAQPiT8dCSMQhajEp1N6Fs mimXgR5gOPKTwppAIyChH1UbpI3W56Al+zAWKU6IbSrjIqO27Hhau3OlQEuRymaj1T/Tnyb6 KzYQJfqDRTRMGZxV7pcoEkpVhFhBQ2COc8+b39S+qHHBvOZkqvOPx507qWFK88K2g/Y/sKqs +qH7/+q0ex584NELL7q8ozOczdk6u0yRTzZf2bVBAiSuZZskVnE7iNiKS5AJmFszGBrThiMa GFgCLVjMkNm06CdjQ72hAAhPQQ/IYIhbcuDg/JGXE/aimBoek0vomdshtoG6999/XyGqqzCz 7G9gtPpnoCeFLSt5y9qYwhF7kF40kSP5yOarGEcInblZViamc6fLc+HFV+y6855Tp+y68QYH 1IaqocRXn37li0/nfPLP2a+/8ubN191EhY2mxvbWpraa6vK8zazlB4FKHqMfSBZKRWQCk4SH iY0AHtrIdAaWoHjUJ26npDdgoJobMBC4BDBQDjYj1Ko1dK7kAkifllzOjeBXJNIp7MCKmAZa cDZ6QEKj+h7tN954Y6lby04xy/3KYpTNRmV9M4XH90eL9lGvsS/ffffdt99++4UXXkhZTZIC pDNAf5qAlSYpcS6RjL/8+tu96aZwfsniJa2JeKaNOtwfz2pbtCi+KGMksmNqasORjs6uNjPV MI+rJKl8NWgawQnqhEUong3xTEnF3E5iEm203jrIgQOIv1m2Cu6uoBv4EuOhJfxK7EhmDHAl 8zEynkIZxDMVRwfMAAztMdNhDKANTweAV9mavyvqpRPzUY8//ngURP5UBuxA/SpDnU/CjuY8 PgM+9e86juG+3gpDhIAgPvk3gQdrzaKukKGJzwRHzVFHHYWXhmxNKT/a2FfQTYGss2PHTW5v 6+3uirtLWDI2E3K5K+2eciOQiUaWLGxsapzT3d3ktCfcmXyp2/A6HcocpgfVG5ADUUhQ1pe1 wXZooz+FWOuU7m65mBRHwyZDmaQDrrWGLbDJvKYd8TTJeLSUD4rxyAA93O97BPsrOj4zWv0z +obiLZYNjX1ZfpmDWTtECoam8/6k3G/fFO2gtlBZdXlFPSH8qWSmbUmL23ClE5mu9u76sWPi famq6nKf1+Zy2lJx8nOcMA0mHWXpgB+xlK+Z7/7rn0OlwYE6hMPAbZD63nnnHZDD4yDvKXpg ZdmKDjO8uFHpn9H8DUj4hZ7EbTTZIyAhyVxzzTXKx4QPDFKHBYU5Go7kMtmeHvhqjuyVYKiM JQN93tLq6vpohFQ2ezQSD0cJxASiJh2iXQBCTe3wcKu22AqhUQYAdLk1VZL1rflV8ZOVZSs6 zIxW/4xIVhO8xCT9CYrQCrAsHXPMMcryledk6fM0ltnOzmDIh0SUy1FawPHJx3MqymsWLm5k /cxoIuv2OPwBp9sX8PlD3T0Rn99BIgisjOlc7kheLxKX4DqkbagEPVDnyhiFzzAYVR7kCDa3 ofa/AtsXHWZGt3+GpxOH0Y42rEnYbS+//HL2keyRowaUVWy5sgp4EV76Xubm1ubO9dabGutL NYyb3BtLXXPNTX++87FTTr2oqydKyhTFmhQUit4PRFUTUFn4UjyGtA2VRgfqHLQom1o112F6 gEcL76ws26r6ZsvvS2nqFavh1xLV4AOABDKSE0OexAGGlbn39hvnzJnh9tnLq8bkc9U94WQ6 n/AHfR5fcMHC5vvueizc0/mH4w92u2znnH5OJJLJZuLlFSFsXKBF9mut4aFSTMt/AzNSY5ga tASaNLThC9NcVd+sEC4+iI4oNzbvXYvUsdGe6PrlTw2D35GBCTBs7CvtzAIPgz/xxBNlHOMs RttvWqVN906OLM7Www//1bHHHr7XXrtuv+M2p512cnVtxctvvHLltVft+/N9dtxph9XWWv2+ B+674KLzcjZy950ABsGP2BwsVNwFwNC5qoqtkE1iIfIYg+GJxHBkdltZtmKUzUalf0bOGbEX YVsoEpPh+A033CC7GUwGuWupmMnnUs1NC2trQouXfGF3pLfaehPDnj7q+P+bNfezqWtMHDO+ 7le/+dVnn3/S1LKY8o9UA4z1kUSQV9k+OAxAZUKR2Wqg/JwB83aWOqCBDw7UDyCRnV2lT5WQ o9+VZSs6zEBGo9I/I1+HdF/JYPxCK5jIIDymiYceekigYibWKjSQlDzxNFPEZCLZV1UZmjPn k2CJq6N7id2VXn2DSTfcdtW6G60+d/HnkybV1Y+vNpzZSLgr3Nsd7ukIBjyYCugNlQZWo6QD OexZbkC1yAppOWaMjAzfgjH7aBrs6CyjVUF01Q3UJp8PA9ZBLoSJyaKtTuicUACELp4ITyhP wXH+5Nayp9NelTiVf7aybEWHmdHqn4FqFfRlJfqiY9x///2PPvoov7j/iWcBNuzjkOUXGmUm lpQPlyDkkekZ8q2vr62qqbju+ivvf/DucF9u2+02v/yqi5568un5n87e96B9WEojl4/njOTc +Z9X1+B0N5P4oU4V56dPmAz8DWomSIx4MIgYt6aCdMAw4ZtAWlWduDWIZVSo7IrLpCs0EC4h 0kddERpDbzqocEwELfCjYFAOYhAjiYALCT/jlGRR1q/kFJMFbwC5UfVvVxbAMM6iwwxjGpX+ GYns0L2CACAayJSY/+233/7II49kMU0C/n/729+yUD2KDYTINM/sC/lCdhAlNMcRj88/Y+aM zz6bcdFFl511xhmprPH7436XMvr2+/Uuexy205wFn/qCTpI0I7HuiRPGZVJmfj9gU1VOJXvC BNZbbz15NhWHj2SowuQMD6s3Yf+AQTE7/BJJSd6LkKBcaIKUVTIGdBExre+Fp1JpMGTFKDOU ltLvOQiLA/aUm2Ef5qlMNQDDcS1SuSpG8ztNGaPVPwNZQByQFzuSZJj7oR6kF+QWRBRyTsAV sz5khLQDaaqYE3SpckfmWsptrSUlFdv8aOfX/vnK/OaFJZXGuIZxa2+wxsLm+Y2ti7wBZyId DUd7fB5vKp5w2ZydrR3jx41X4DB0D+FyI6UiK+6TOxKOyT4cTFll/KmsZtBCSz6HSpNpJMCJ lWUZPCOHOQA5fgEMdZvoHKYhX5PCPZXNxrUc4ZdyM9yFp2YukGwGXFe6Ys3FyGdGq39GlmUJ ZlZQlvx66G/sKOeeZoQwAg9IkGbKAFP8PBdWVddRPW/uF/Nqasf2RKJuj7Htj3/Q1tkCe3nm L095/K7FixfCy7xOv8fld7lDtvSXUWoIXbqR5jPlBdCnPKqSu+An8DQhhK+A7CQYAzYwrIrM tFdOJTxH3ImzwB4XEyAR/1RdKC6EyfBcIFa11LgKtkk/issEOWzoNkBrVW7zd+Uzo7K+GYIK pFnw35vVZQUeqAragpRVogV4MJGTGsBx8jQhXILQkKPQc2BNl156aTaXLysnTb/iwYefePEf r3Z0kcbcGEv25W252x6/dcONNjTFngRLqDj7IgkjZ7DMRltTO6wAYCjsQKlgsBSxDoibgUHE /AIJ7k7qGFRuhWC+/fbbiHDy7XA5g1TagjL+LQ+pLDeKDFKCNIDkcRRADYp4XtQnmRnYtBAV +KETaVzfiWiW78VFp8+M1vwZiAYkSKGXJ14kCNnBYZBeIDXIC2qWhkCkM8REmgA8hzBnXgsK D5WQ58xe6HEHjzr6+COPPNaIG7/7vyOBBPVdNt1iU3I86bZyXN2VV1/9yIOPdSzqxNsPDJQ3 BhSBH+BEowAYcAZYBHdnQxqUEsIvshkjAU6QO7+bb745AdeMB54gdkGHWg8DHCp0zVqNWQvO KI2ZHZ6LUxgGVAEQdgRCVDQDbMNbeEDegEzPK9FWdJjhY4xK/wzPJbUEwlLYMgQnEUh5kRzh rMQnJaWYonPhV/OIaa3O5etqxzU190Z6U63NHfObP772qhu87sD4MRNuvf72Tz/+/K+PPO3z llxwwbQjf3981bhKg9XOPWbUDDhBO4dA6Qe0YBaDe4AlqBYKFqi4qfgeNyItTAVrQDgMAXRB +uCN0YIr1WpC3gPPsA4AD5uiWwQEdrRYgLCkYFNQxFODbRmXuaOmD6n+SkRdhZllfwOj1T8j CZ73woygWCwIDjqWFASdiYxEuBYj0ln9FmIr3RddcMVOP9pt3bW222CtHTdaZ2Ojz5j5r6ZX nn3nwduejXWk77j1gSWzFqdzroramua2SG8k19beDUUqTR8A0LmMzqo9K6+R1BVIXL8cBwBC LLQOJHSJXKIchGOoFK2eRdIdgORx2If/cBfOgv8NNtiABqBOUwPt6Z9TmiNktaNok0C7smxF x2dGq39GHINNc6ri4SnBqsTMp556CgWGhLNbbrnl2muvxWg2EAEtXtS6aEFrZ+virvaFS+Y3 L57X1LRo9uIvFnY3taW7k90LW8rrx8+dP29x46Ka+lBJhb2mphzhSvTN9A90IWWEJSr2Q7WC kHyUKOjAA5EJ8Uw0jXClAn8qA6AKT/TwxBNPyGyNUsTjyBom7UgKvQyDVE9/+eWX2QGBcBj6 p5lyOdk+/vhj7WiNmpUFMOZUUoRjHZX+Gd6z3HzCjOxI2267LfVmL7744v32248ZnSozv/rV r0gKoKbmQN/F4fLmbE6Pt8znKjFyHnve7XeHSMeMxuKxcCqWjs767BPWqkBdYlmzcF8ilcmu tdZaZjFBnw+6BzxIWZgBhAFQAX5k9oWmEa4AA/TNJ1DhMqgf7QU2xcgViQx+yObnKcAMvzwU bbSQExBSkAGNwQasTIkx0qlUyJP+5QmFvfC7yy670I+ExpVlKzrMjFb/jEQdKS3CD78oBkzz GJQgmgMOOACqYgdb8yA+PjIJkolMPkM/rmzKsJMOY/iMvMNluJY0L8mkDRcFmhz2nlh7NNGN Y4ZwG27KrYGKlCiENKCitZYgZay9ImtIHJqG7hEUtSoTbdgBSEBObApmApa4SgUAOC6zMqdQ kFR6Bj4G/JQ/R0vAw6+syTKj8dTghEuA8eOPPw5yVtU3+07zxWj1z1gBmjITqWoR5ALpoB5A 0NQ/kJFAZcEGfIl2I53JReMUK0NmMhyG22l47VlnZaC6rrzOi+KTyyZzcacrV1ESIJQmFDQr LNOz5RgV95DjUjWi8F3SRgwQDKOQQMQKM2OTxAXzgcMABq2SqUoxont2VOpJaTCS2Xg0uZho AzgFIRqDOjFbHh/BDzM0d9TZlWUrRj4zKv0zwgybduSogdRUzYg/b7zxRmZuJBzobJD1Je1u Ixhi4RrSPCFBv49FxQx3wBlKJdKdbb1dremQn+UpnLl8Np6PprKJ+Qvm0j9UK+KGFUCy4hJw GxmU0dEhcRiIdmimqGQBQ+GhYoziUeCNHfQQ1dwQ0qST0IznEvwAJHcBYHQFC6VnFBuGAUQZ A31iBaEZJuyVBS0aZ9FhZrT6Z3jXEA0kpThl89UXKhjhNkFugTqvvvpqNAdVFRtQvmfNurzh 9ObtZG3lUixVl0nl4rEEq9g5bd5nn3r+X/9674jfndyD9dbt9dr8Pmdg0sRJ3A49BHYhVgDF Q8pwA/lV+ZMdRqL6l1Z+NeMEyWCY4zAEFB6BQStncCFOHjiVFDNVtWUfSAAVPSnPxV04Dq6U K4r8RmOgokgixQTQj4C6smxFl6fJi5PozKdiWuIt87EH590q3CiDrAoKF+Hbhyy0KBKUB60o PkWTt4hYlg/oWwFpAzxCbtrFF5AIkMp0p5I5l70mFk0n032mkh0n4z/7yKPPLVwy99xpx6Qz kWOPOzGXsZW4gqyzyY24O+SrV8oAVKUJsiZQElrniOqmAwkQoto0qCJS4mmpTBmAJBcNg2TY Vu0LOAn4YfwAniflLE+nqYFHVpwBYhhtOM5ItOKAFQQ9rDGa/3t5mqPVPyPzq+L5oTn+hLy0 mqSkNYzOMhJYgfGQmszBnFWbRDLmD9p23mmrHXfa8qhjDvnFr/Y878LTJ0yu//vLf7vngfu2 2e6Hu++xz9TV17rwgssuveQap81vy7pTaTOSWmFjYEMKveL/6RCi56C8NxY2VM6P+8qLz74S kmnJBunTIVQuhw9nsSvQmwxxnKKxokvFvtiRv18MjfZaxEaAkSG7COe4QYZUdLLZaPXPiO4l ebIx77LPdM6MK+IjWEaxmNbikko4Ub08hXJ5UPjz8UwmXFMVCkdbx9avVl4TOvzI/+sIt1U3 VK+38XoHHPzLmZ98ihkt0hHGkhaPJt0us8oM95KYpKqWugV44I7QMaek7aB1cJYj6DaQshbz wIxGD0IF/XBKVRoBvJZzQtaiW7QUxZLRTJHUVi4aSKNbNssTCszY56HEnVau8JmiwwxfbrT6 ZyzAMLnKnQf9WSsqk2qmeE1kJMzN4gOQNRSsPM3COphGOh7tbMfnmOnobBwz0bbm+lPPvfLU ivqyeS1zx48tL68pcwa8XJ7O5Ls6ozWVpU1LzPXHNbsDDPWGAMaNFJIMlUO+WgsA4oaI2YeZ QOJYnxmAAp8tx4vClkEXbh8O0pV8LyAHvsS1AABIMNqddtpJ5jimBiUF8MtZeB2NZR5QzNuq OIDvxGlHq38GnEi9ViS8av4/++yzlAG44447zjvvvPXXX5/SH3Cbgw8+mGhLNVapZe0r+Ndp d2y59dbTLrrgldf+0dyYr2oov/fhO19485W0M7nl7jt093VlUuFEqi8a6y0NBNuau+sbaqF4 XEBKPJYzXqY5OePZh9aVjyDbN3wP8IAWtB2xPq6SngN0JctpapOsBeljjpPmCQa4HZDAmPH8 889LtqSZgnFkSVM8KLeDu6pe4fAVnflOtPctLy46PjNa/TOa7NmgQpkroBuimH/3u9/94he/ OPXUU3/yk58QB3DRRRfdddddRJ1IfpMIZ7n8UvFkMpp655U3p1185S9/+cuyMcYxJx3tKnNu /eONJq3b4ClztPQsNlyZkjJPMh72OPKsNrt44RIEJ3Jj5A8RYGTqpVuFFSsWE+RwXMuXq9Q/ 4IHcFTMmdQj0EqkJ/5HcxSNIzMMcp0FykNAbCV2qcaNgGfyYMqbRTDYeduBs3ALTnBVY9C2p dsU2KzrMiHfzJQgh4c3qaw1SjItJS6IL3wZalB2TAvsr9rV+8+6S5iEmBsxoJerwXEy9ysVH 5mE6pxm0JSlO5imTt3ylBbm9gQljJ0ysn9ze2mKGdXmN2oaaQIXfW+FJ2eKt4aYpa40znAmv w1ZdVRKPdn0xY8bYsXW8Rl4Ob7J/WBfvSss2ifTJioGCoWwonmFA1tyU0TIAUimJFeCgRjtj xgxs4qSj0QMfC/4jMLCvfAGcngp3wPUEDkGFNBYO8lnpkwxQhFK+Mh2qDs6qGuffiVxHt39G aoy4jRyCiCXILbJEwQSQWJS7Yrk15VanfYHibTNnzCkvqW5r6fL6Qp1dxl4/3zdQEWjsWPLA n+8rrwm0dC0y0ihCyb5EVzYTW33dNdPJL4OOuReaCf0IsXQLcxDzoWcUG44z5YMKWsosxr7S 9xVGKQsBQhcNwJjlzAHb8CXwACOCBQEDOudXKhNnKcTBhfRPn/qT47wH8MmrYL5YFaP5nTDD yx2V+TMgAaJR1AlzrTQBZmX2LeEH5EgcQm5BQuMUohpXkaHJL/HOOEGoSBHuTbz4wmu33Hin LW/MfKfxrVc/qKuse+3DV/1eXzaVdlb6I2kzTTpYVYn6Im8PFAzwFHHMEeU20yfEquQWYRLy haaVOCmVRkRPe6kcqkojOzJDVT0A2sN8gBZdaRlqRi67ucKiWRzKSgilvawRHIHV0JhRrarV 9J0wM1r9MxAo9AoxQVvQk8xlzNnS32Ri1npJkqPI0ITaTjjhBH6PPfZYLqQejd3mdDjdbe1d fzjxzAvOmpbvMc4/+6y16teINPaV2csnVk5M9CQzscxVV15/5lnnG+QR+0qIbFa+F53LtcIw wKocLzJFMDb+hHDZARLcUWtcKvKfCwUMrMmgAu4hlUy5YrThQlgWXYEQtDJ+gRNdaV0gpTRL 5pT7HxwyAK2Ew1PzyAP7cL8TLY3QxUWnz4xW/4zoRuFYfEvVK5L7D6LkIPsqTwEBaalK7XOJ HH+0sTnsOcO++hrrTP/Xu9M/nJlJRk8/+hwbq/olnBecdmHbgua7b72rtmrM0088d9Mtf25q bnd63ax1jl4hDz0UDCARjbDRKdRFwTswdviGfIv8oufwJwNA0wAYiFviiugwlgbPqEj+gUUA D4xmPAKoA2Ys2ybVH06C/EYzpD5QIVucPFRcRZ/Ib7TnPShOdCXaig4zvLtR6Z8xI4S/AgDP KCTI+MskzYQNSUlFFrWZCCnwBAk5Qhp/n3rGWSXV436+/6923ulnOPfdAU9fND531pzp7332 3lvvv/LCq71dkY/emel2uGrqxrQ0U3evTdWeJFzBJTCTgAo6xwLGqb/97W9QrbWqGQc32WQT oRTipjGIYpysZg6K4A+sxg54aIBBHD5JV7JV8NXAmCqescMloBENihtxFZ2AE8VKYwPgT6U9 w3YY28oVClB08WZSUpXgIbn5v85ATNWqAakQQCjMMuz+12uXcwNIXz4QVaa87777eF4MU1AV yME8xQyNSsCDsGYgTyG+JMOUiTm7g2oy8Z72RL6rvKomb4TmwEMqXTlbklwAn6fc4Slh6Zmu 1nn4RVJ9br/PnS8sQaCuZKxTYCVgAJmcw8ylOACFmUmDl87DJeJFDABcKS5OOQWKr2HYWo+W s/zSg5JwuByIchALGyBUGJscO1LnmCmAE13xJxlsg6xRNfQP9L8XbzZa/TMQiuqJQYJyR0BY FNE85JBDKMgEeCDiPffck+Iy+Df32Wcfxacxa0Cvmp65hEIBhs3wlVc6vYFoX3LOnEWTJ0wJ eUvL/ZV2wxGJhmd8OKOrtRnekkpkAUwknAYyhAWgOSDvcQuFimqhcyuDGsAgX8EcGB7sAvoG LcxB3BEqZ9gK6AQGqF6y/tMnZ8EYCGRsqs8G1JkC6JZ7cQltAAx3lCBKGwXRcDkDUDQqgFHc 3dCxscKuKDrZbLT6Z/jCihljh2eURwJJBtlGkgmAgXal9ihiUhxGUpn4ZyaHhQCl2XB7/AQQ T506mXxmR9ZhS9tY3DzgCqwxeVzzos76unq/LzDzs7mhEirEJnBocjlqDBudQLKK/oahQd/c QkXPuC+D4SzUDzUDACQoxibjGGOmAZYuPQJg4Dj4Vz0Afgn5oY1WCxYHQzYDJ/IOsQo0LAgE Sk/j1rwB7kIgAtBSGPXKshUdZkarf0a8wsIMfwIG6AZSEzbI8pVbdtasWXJl0l4lWiRqcgl/ +pn4M1msZ/zDE5OMp3yeoJFzjBs7PhKOdnUkG+or432UcbGPGzeBhQF1R7qyVkjmpgAGoQhu IDAAAJR4xgDtSiTjXjTD4sxIOMifCrJG7gLY8jKBE9qIyQgJUsbYQWCD/9A5baTnbLzxxhxX GSceE6wCTpnyZPlYibaiw8xo9c9AVdCiKBjSl8VZ3nFpOL///e+VYcIED0FLgVGksAxu/CLT Ma33Rnv74tGSYAlx/tA8HZoJaPh/7K6yEk82Y+RZrqkQHdPbk4ZqJd0hF0m+QgmRR5U/ragc LTnGJZxSeJuMbApNABvy2Ut7sTyzquFk1USnAc/VP4aAffFMbqSsaXl7FILAY3IXHlmG75Vl KzrMjGL/jCyt0AfkC3mxSTWHbjh47rnnItYrCflrOVgFtHz5pb6Y/UVNZVnenmvtara77JXV ZaCQ1WWxxF12+ZVXXHnrmWdNQ/uGRmFOpWVmAWhFx+h20CViGAfpUIGbOsiUrwgXBZVJlZKP RZCjDfhBn6EZv7RBhONXsXMymsswwPjpB3CCLpndOKuDnFV+AQ/IcTI0tfrsyhWj6dhhhx22 2morZhSqYG299dY8gF7iijI9cV/eJt/pZz/7mVaBHPydKpKcrytpgckMsuOhim3Skj7AOCEy Rc2w8SekySNzZLvttmNHRZVEr0t7hNwzzzxx5103z5nz6QcfffDmG+93h8PnXXBGe3fHn/98 x6abb33ZFdc88eRjSHazZn36vQ03b2/rLSklI7IHRYJXKqsxVAtDU/6Z6mNwXxpo9Q6oWaye MQByJVTSQHED/Am85bJUzqmYpCIbVERXebJW2TSu5bso/kClN5HlkPpky4apclx5NcP0yVTZ p2AuNP+H4VBHzL/yhgMrStZmXHfzfbvvvf8nMz6HH5ttbCkusOURiVm7N2deZtjJGHeY/5IB X3y7rTfpamslmfzzWV8UHZ8RH2fGwpqE7YXvx9sHPAO9UBlG+QB8Tj6zNsKEh+kDDFs3kA50 pvle0zmKOEQG4CFQbkOYDCOHgpm/JB0tFTPtLQtPP/3E3/72F9v9YPM//vH4ffb6yZobrDV7 0exZ8z+vGVez9Q+3qaqrvfX2W07+48k+v21sfRn2NnEJpa+AFkwCktM4yHuWzUqpY4yENgwJ VHCVsg8YktyO0k84zgtXbD/Uz9fhodj4k2vBAM8llz+/PAtYokNlyIBJJaWxz1l0ObAke8Cw veiR76joMAM9YU3iExI8IlGeD8bLHehV8EXl4eYr6nvwtaC/kX91Q7uDyALSgVgBj+LttS4s v0ze4ByShShFUtIZvrahqZSVeufP+aRx0RfjJ9ay+l5JXfnZZ579jzf/UTtxzKyFX1xy9eUd XW0LFlDLJpdJZpuXtMeipj9EpjkYCwTKi1IyM+YykAyKIH2NQbiCjqWZcIRN+gYMkEvkndRV zFYoOeJgXEjImcLPeVJ9OD4Eqg7xnTyFAguUUw17AVcKMiAbgq5W1WoaGjF9rTXvGnGZD3b5 5ZdLRWYi1Ey81E18hs/GDMfXQsDgG5Pz+J0GMQIXWwqJtcNNGC0zsdSVs846S/XBtJbLAEPI UGl2yoRahKOq8qAjYGy69UaHn3zIxltv8tHcT4865ndNnU2eUl88G+3ugSzbx4w1LWNyR8qc ALmrhgb7+Ea4L9MTDQRXNiUsyHEptURhY/QjS4DswqotyI6CL2FcLJDG5dxVExxfgW5pjMVM NvS33nqLyQIrAmEEP/rRj7gvaGHRNeAk2/TKshUjnxmV+TPSDyURMdeqUD9lmimdQfljSjbD Xq6//npqz77xxhuPPPKIzANf25C4fS4bZWUffeTeY088kr3OSNsTf3vi4b88vHDW7N/+4feL Whcn+yJ81EVLFtTW16USqfIKM0KZSR1ShughYqZ5xVgoehKzrxz8sgIjj0H65ppqhQQ1RgtB gxmtjaEoDdQSzNOyZ4AHQCW7BbhSEhvRnOj39AArEzcDnNtssw079AZiWVKTWyglgbcxSH3q IgRS0WFmtPpn5BmEH0J/ElogX2Z3RFCsHRQ4Z0lNUi+JcQQ2RNNAzd/cqJFZV10W6+049pgj rr7s0lCJ8ZcH7h03uX77/bbf8YCfvPXeW4HSoEFxGyMzddLk9pYmh9MGVcoqhVilnBzCvYAu RjDlugAYWZCVqin/DJvlZ8RArOgYVaNl8LAU+qENPUvqk50NDqaFAeEkxKfRmAYgkElQ2OPx +VO2BLrlXgyJZip+sLJsRYeZ0eqfgTKUPyOZh1+Ij5lb+hgTPCUplJECgSoI5ZtbLpONRuLV lTWoAV3hju5OaqWboVxmbb1YVybbV1rmM5z5DNgyiHDxG/Y8pmtQCk0zAKWp0K3UFW4E3TPZ q6CmSihJe6E9+xLS5HZUqo9iXsAb+JGjhqvk0WcfqVIqDdiARwFCWByneDp4jorW8hLk7oTN 0szC1coCGMZZdJgZrf4ZCBGKUT1L2QOYcVXrlR0oDIKjAeQoTiuAyUTLZCw1w2a4Oruzdkd5 KpnBszG23n7yCSe7co6A3XXfTTeVBmx1lSWGx0XGJFE2eScxaGYkAP2AE2iddwsfgEyFFkQs hWxKYkRmY0dxnNxRA6Axl6jYrIKRxVjEsoAE3SrkTESvjEva8LxYO3lA0EUyAlyLa3Ujpgnl PyO28ezyb65EW9FhRv4ZPtIVV1yhgA5e7iDrLTKxyY4pJwCfEL5fhPUAIBTFR1o5jxAuDwil MosLG7AXDME04A2ceeaZUO20adOQ01588UWejthNm8vLsueLlrT/46XXn3vu+Z6O3Jsvv/3+ P9+P90bu/cufx9dXfz7rE4QhM5rG5vJjbC44fGAjsBpYBJ2o6gA7zP1ktmDs4t1yljsq4IUg MYaq8DNgCSqAjUKhoXvOyjwNDFiHWb4XUEFvCkWH7QBFemBTDgKNtWaTBRtewuuvvy5jAB/O Ksa5ssCm6DDDixut/hkme4XDsAN+oCroRvZfeev/9a9/af4GLWCGNuRpkiCAwqMjeEDau3tD 5ZV/OPbEk048lRn/0Ycei/TGg56S/ffa35l12rOOvt6+u++8+9yzz+0N98Kn4E5a+AV1QgGU CgjgIKfQTOSjZOohgpPBkBUDAEAIBxUxIPcrSIbWkQmVDo0N4IMPPoBtAhWOY2CAdQB7YMM+ I1eGGU/KE9GtLNdKFOVZyHZmdoO10hujGqSmexECqegwM1r9MwpPZvKGnuAwCj+TSMOfTPPM 0NLFmTKgJOgPIpNyrPRjZvRYPFFWVdvWEe6JJD6bOefzzz7YbZe9Nlt/M78zsM/P9rNlHPfc dndt1dirL7/61ltvJxE60huVBkXP0Ld0DHnfOS5PP/dVUVmlgkHfDAw8wyKmT5+u/Eoai9bZ dMrKa1LgKUPloJJ/aMO+CgCx0VKxpzItSAgELYqsU7pbcZbYHgiuRYeZ0eqf4QNAMbKeyZoE YaEHc5w5GMpDuFf0MTTHVK2pF5IFQlC86lMGgiVHH3fS5tvuMGm1bfba66CNNtyClc1nzZjz /BN/m/vZ4gdvee7VF9/wOX2L5i/p7iBd2W93OmQghmpBizR7qFmaDMPgjpxVrQxup0AeBDDJ VxtuuCEH5eVU2CigYoQY3HgQOSXpRI58+JgKOHEJB4EE7QGMeJGCdMRdASfLQTMertIMUoTM ZJAhFV2eJiQlg5IiBRVONni2ptIMrSL2ioAqts8AkSnEWBmamv5JNQMbeDNQLaA5jiMOASTo jLAAXoUUcdAlewDODLdZGSbXG5+D6rzahK2jcWqi9xn2eFnIXV5T1dftzmYc8QQeTDv50LxA VqpRIBmUin4iFzAbSICO4TySGPkFljIx095KaZZ9DOgyci7hEfgcXMifIIfPxCCRuBQ+wyeg Pc1kqVMcGo8pC7uWJKC9nkX2OmYHxiZGNEyf7H8vT3O0+mcUkaW4TOlsUMkee+xBHc3rrrvu D3/4A1IKhWcPPPBA0MIm+xV0DD3JIAtZl5aVON0u7FaJVHa1CWsuWNiIu6SypKwyVJ1NZ+bP mp9JJbPpPq/bzqI0yZRpPFNEDDiDdUCdcrDALgRaET1/MhhIX5ZiGnOV9mXTU3oZbEFSmaot gwewxFUyM9AtABBauFC6k9Qn7XB3WsorCmviLrTnLoLQMAFmeXRTjLLZqKxvpnkUioHmZOLj TyV1QUmKN6ONYuw5JdaK/MOmgkYKlEymc/Fktrq0Nmc4G8aOQ/IyzclZ0gI8Aa+fLLR81ujs QNYy17HgKgCjW8uPKWqWsdFy4dMzAFA5WQajSEpoXb5IRYuJbwAVxXHSRiZs2cqVMsAlKD9c wilZw4Qx7qg60dJewB6oozH3ordVtWe/K9BHq38GKpQyIz24v/UcSgI5hM9IkkF7gZL6R2cq sqtwxPB5qWFr+kDi2bjdhoXaif8SXtTY2OT1hzo7u/A0shKZJng5gqTuKz9Mx6F1xqM4ayn3 EC5iFQ2ETAUr6Fta8TvADCoHb+IkePppBiq4nONijMomUFQovFTeW/DDGDhiupgKC9RwUFMD owK60utWlq3o+Mxo9c9IT7OSqyBWTdIcRGFgwx+lQoFM59ClRan/uWMk4pmAz9PUsSSfSdud 2NySqbRRWV1Vb0ZeRqlmFiyBKGEpLMzkCQT8OFJUO8ZibuxLMFOKC7TLLxO/3DgDEa68ZAr3 BGAwJUI8lassfyunSMGiT+QuHo3bAXXQwr7KoEnX53FoifImINEMwBCctrIAxpyDinCso9I/ I3LhFxqSJYrpWRIaOjdYuvLKK6UkQOJaGfybG9fDZ0Ie/JWOIJa3WLis2pPIJnr7whlb/rJr rrrs8stJ1XR7SZvK5XNGuLcHxyK0Do3CuxCTcLAASGUZAQMZALSPfKVw5qVusBGxKQYJAGBK uCmJGeNPuuUIrAavi5DJRMAcoUQaxE5kPAAjjY6NohnKnFFmG2aPQeLWi5A+i85uJh1xtNY3 U5gm0gikADyYaPXL3IwyLdua8k8k/3xjy5115ukOV7ysJjd/wWK7Ma6mesqCxQsnThnjdLPo TOLaq+7paOy8+BIKz6aP/cPRFCEMh6PISxCopCNJXCo4xo4sBLJMWstoDkSmmsvoBwAwzvfe e4/qgYxTubHsyEDHvXhAPZGs2zwyf34tCYrHVOQbeNNsMkzb/57dbLT6Z6xJ3QKMZm6eFwkH 8kI2k8cTgma+H0A2y5cGPUf89qCDDtj3qKMOveCCc867+Lxxk+o/+PTDc6ede8jvD9ty2y1c Ic9lV15y2VWX2B25WJSaL2XcWlIfgMELxA6AIeYShgZgWOtG9gbODgDUL4mZIQl4NGPMm266 Kd0KddLjsT4DKlV8VjUZAn9AmsIImB3kk2HjIH8qr0Zm7mECzPLopuhkM97gaM2fkUjGV5V4 JouWqrGAk8MPP5xTUB7H5WFcypY3vMTHpGOLF3w+tWGi31fR19t58VXT3v/4vbU2XLulq/ny 667yBL05W66jlZm9rbSsVJo3XhfRJfeCyjkCfUOypNCss846cuEz3w9S/wXeIm1HIyR2Bj1E CzxxLZ9MoZY8CD0rmRlYIq0pWFsLDQA2xkM/bFJvZGuGay0PYh+mexQdZkarf4bvZc3isjVx BHFIwhITP7mlCjABV0zD/e1m1j4Cnd/tCHe1VZSXxLLdaKO77LPbbw/79YSpk76YP3uT9Tef NWdWtKNt7vw5sVR07Ji6rkIwgQzHUCdKCARK5/yycQRHpxpo4SSJWEvdRNmSnBXRQ41zZS4w ZmCDuY8diXygka7wYCrFAPjqGeUz5RfIcVaZAorHGSZ6Xh7dFB1m+Daj0j8j9qJPKsDwmMQB IJKxjCbxy5DvKaecgiWAI7fddts3k2dM7oT8n0vanPk77rrz8iuucJUYeXfsvodvf/mNv/f2 xTb78earr7W6EzjF+9wOT6wvXlFpLv4KCCFuXiymBYQo9AoQgviESU36hkDFr+JrlrpJxRJa GD/krlofcvLAeUAgv/LPACT4Dznqip3DwsZBGJEcQfTDMFS+memDTlbJZt8J67xQreR4/PHH MxXxJy96kHeqCCi+qCo8aR36IqwHwEuxIoC0I/MrkcsELJ900kkHHXTQBRdcQNrmEUccIcWG iR/q5NGQcxR+YjjsHT1tVePGnnTaOX846aTyOuOyq/80fkrpD3bYdLvttvUHgp1dbejVFSXV kUTa7y9rb+8l6kzBRLwlAQaQ4FrhxTIMMMCGNMWNoG9eNXTMa4cb8Bq5r4zIMkMrW5PLscXx J23kYyH2h64UOcblWqcJ3oL92oqdYQegqvqzSgjISyMlapBcj+9ETCNzcdHxmdHqn9HkLQmt /74WBgPwmFwhXJgJUwZWWqXZKMcGUuNP9s14Z7+vuaV14cLWcDTettDwh5xj6ys9Xjuncpm8 WXo8FccIFelmZY6+6qpK7GYAhq64BcoMMFAMKLCUfRL65ir+hGNwI7QUrSeDrMVV0DeXUHtN EWVEYaLzkLNAY7AhSYyYTr4abITn4iwAYDrgQYAHx0G+8u2UFsURshsYgJKjZCS0OPDIEPkw 91p0mOH5Rqt/xsKMvqH+lNdPMSkS2KB+xH0QopKTNIO2kHOkJJi+GW+IFQKTsez4NYw9d9+b lJyWxrZ77rq7rrrmZ9v9xEhlmlqa68fUdLa3p5LpUMhc90+Ryxi7FDkmHZ33rPIXMAGgy3Hl h7EDKSsDmbNgmCoFOHaUF6DCToxKEqZ0FTgVyIQLyWkL5+F2XM4v5gFlCtAVaJFtAMCQsqYc T80Uw0zXI9ld0WGG1zcq65vJdsyn/JoRWbIo8y5SJadYEQnKg+aoqgEhIrPxywIbUN5pp51G Skwinva5S08+4bRrr76xcaHR1tL5wvNvlQbLX/r7K163770Z7xp+X0PdmNlz5k6ZyvLiZmw/ Dk25UOEzqqsmhwzCFfiEcOUhgbJRLRSCwK+yZdjnl9Q0mAmD14ICMEbwRg9KI2PAEvYkbnEQ dqS4NX6xZcN5gD34IT2T3uhENmu+taTQVTGa3wnjo9U/I7RYmLF25J2AA0BJkB1pkhxBEyDS GeI7//zzYQIYBjh4zjnnoD+n+vJjayfedtO9F59/eTZiHHvUSbUVFawH+MNtt589a7YtZy8L hk4787S/PfdMJp10OcwiqsxBsC/xDcbAvSBfmYbhcgpq1ooAqlDOeGipWkqypMlMDE5oplwG eoB1wFWAHKwJNBL/Qj+qNiinDTfiEvrhLkrWkNNG0ZwyTigtQix3ZdmKkc+MSv9Mf4Lor9hA lOgPioxkEwEp90sUCdmpvlEhC81uyznnfbF40YKmOZ8vTPa1nHL0JZPGr9a8qO1XPz+wurzm 0QcfctjsD93/l0suvqinE108Teok3ULN3Eh2bZAAiWvZJolVUjkUQMmv7L8ytdGYNhZlS9yC +sEAAFBcGeoNuTE8Bdci3aEjMXKeiGxn4Yf2PBTIkRimYFANiVtIFFxZAGN+o2Ib62j1z0BP /Y1I+lPRZYg9iE+ayKEn2XwhJsWkINjIPGVqGk7PtIuv2OnHP117jQ3XX3e78qo6I2u8/Oy/ Zn76+Xv/fO/1V16/6fobO5tbmghybmqpqquhhiBSFlQreUw5m/AHUv+BBw5HsRHAQxuZzsAS FI/6xO1ACAeBgWpuAAD8+mBMOdiMUHo8nSu5AGjRksu5EY8gp61yp+XbEeNiTsTg8cknn8Bn GIZUmmKjw0HGU3SYGa3+GeABeVlQsXZQr7Ev33333bfffjvlciirSVKAdAboTJxBaZLmV7TZ WMbllZffiBJ2k+xtbmxJxHo7O5tnzfiivb27q6ktl8pX1NRFe6M93e0EtHEFxK18NUgTwQls wCLoEKggnqnAObdTBUDaaL11kMPKZOJvlq0C+gbAaPDKSaYl/ErsSGYM8RNwonQa1TawrAX0 T2/gENMcx7mWI1wIulbFAXynKUM68ejzzwASzaZQGMQnSxHwYK1Z1BUyNAmkx1Fz1FFH4aUh W9OyRxeQYgYHmEcIV46n68dN6u3o7ezoDVCTybDZDaeXcBZ7EIfkgoVLWpc0F3Khnaw/COSg YLDBrelBXhqVIBMSYAKW7ZsdmMCXNyosTCLnSf+RWC4mK2tAhjI9mviGPr/6ER/jIL86woVS +hW3xodGhBskZuc7EdPIXFx0fGa0+mf0+cReLBsa+7L8MiWzdogUDE3nA31ucm4Mp620rKy2 ro4LM9l0c1MrsMka+e7ebszN3T2RivIKu8PlJCXAsJM7BtNArVeWDvgRS/ma+e6//jlU8huo Q1UdUAYOj88joAitsjUP9fV+vf2o9M9ollXkCEQjbqPJHgEJweaaa65RPiZ8QCJT/wn+q/2c u8RL9n02l27vaM/kcy4HjshSh+F0Ga7K0vJoH7zFF47i92AWN/qSGH/Nyv+AUOkA8HBgswJp VHXVeF6V4OBJVUvtuxLNcry+6PjMaPXPiGQtQcv6EwJCssczeMwxx0isl+fEwpWIwfoT9SVQ EXJ4HHkjHfT5Z839rLqselHzImpnROPkCbt8fmcw6AkES7u6I/6AWaBZ4pDckbxeJC7BdUjb UGlyoM5lS6A32Av6FU8KjFeunLOiw8zo9s8ooFgAsDYMtdhtWW+HI6jXSC/Qt6UY/Aex2vOl VeWGHVtCsqqqsrF1yZpT1owkIuPHTMzmbTfeePOtt95z3HFnNDb1JtNZl9uMamNDWwCiqgmI AQDYSPEY0jZUzAzUuSLW4DNABTCDHGyGqnGzsmxFl6epXMLRV9+sv6wlPFiiGqQDSKBjJQbL IGsRkOS3ryCUu+PPt37+xaclZcFAyJ+321BoItFkqKTS7SlZuKDpvrv/0tPVe9wfjvG6XWef dWI8lkynEuXlZnQmaJH9Wmt4rCgy5fvKTi0DgNJyhtXW/L+Xpzla/TNIR6J+NvaVdmaBByZw 4oknKoSEszLa9jdPy06dN7LhSM9hh//22OOO2W2v3bbfYbtTTz0LFf+111677LLL99lnv113 /emGG2z02GOPX3zxNCxzRMwAGOUVYzGTLETnqh2zQjbFEDASLcLBGMCP8s9Wlq0YZbNRmT8j ohd7UYywUCQmw/EbbrhBdjOYDC5zy4Gjll/9mV3SPKe6hmjLWW57Zqstt2KF4WOPO/azubPW 33jdCZMaWPXpgw/fmz93Vt5IJVP5dN7IZPMq2weHAahM83SuWK8hbd/0LA1+ZKDOQaymBq1/ yqaQ6pUFMIyz6DADGY1K/4x8HRCrsqwkiUHHWLGkoN9///1Qs0gKaxK/7DMTc6EiTeDA8USk dkzw87lveZzdfb0LAg5jnTUn3Hj39ZPWn/DZ4hkT1qhvaBhjZBLZVHcy3tkV7fD4HNigUZBQ aRSwTJ9y2BNirFpkolqlyrAvGLPPwCyaZjCMgYOqG6hNPh9oSAe5ECYmi7Y4Kg8ISwGx9EMd An5hd6qdybUbbLABbVS6ehWf+U5Txmj1z0C1irCSrsI0jI4BTlhME9//rbfe+tFHH2Fufu65 5zCgPfbYY9Aos688hnAJaK4QBWyUlPrG1JXde/fNT/z1ga5O43sbbTDtyoteefnviz+Ztf+v f57Ox70e6Dgxb97MuprqrnDU6TCXLFf9WPrE5Q9EFSRGMQCIGxlJQTocJKoSSGuBGm4Nwomy QbdUXCbjRw7kErR2ugLhZHrSmw7SQBkH8lfSIRijN+IJ+KbEByE+zJo1i1PcV3lpPJoi61bx me+EGS4elf4Z6WnQvYIAIDKoiph/0rmoOksUM2HLWlKTPzXNwwcgXyxLECUZNWYZNK+f0BUi tcgLOPGkE1we4+zzzso50tvvsf0Oh+yyqHl+3p6uqC6bN3/OlMmTsDOUlwQXLzGXneF24iSQ 9frrry/PJvmYoAUWp8LkDA+rN2H/gEExO/yScc0yUkKCcqFx29MM/IAHIqb1vciapjEshbgY ACB5kvagHbTA4mQc46YMg18WQuSIOmQMg9RV+67ENALXF51sNlr9MxKxIC92JMkw96OXQ5Ho 6BzHx6eplx1md0gT8uISrRbGcZBDMRmHzb3LDj99993321pbPX6jvLp0rXVX6wq390Y7O8It ZZUljYvmT5gwvrW1Gcy0tLWPa6iHY0jzhoK5I2QNXBX3CZIJx2Qf8UxZZfyprGbQAqT5HPAH etBIgBP8kMHTDxwDcucXwFC3ic55EPma6BYoqhyhlkADNvTMfEEzsErKAzMCDWA4YGnAOjsj QPHfvcuiw8xo9c/IDibBzPK9CAzKKlGdS0gQ/FA/CdqimTLAIFwVr6itrrHnHJ/P+mJM9dhw JIYDZpvttm7uaPaEXA/ddL/hyMyeNzNYGbLZ82Nqx0SjYbfTrQ+Mws29rJAcxZLRpzyqkrtA LzxNCOErQM2kjkH9EDQaiyoy016jhUWIO3GWhUDoX9WZeUwaqHwZ7emHKQAplH7kyuQquByh zapJrbUKV+kz3wnJvPdRmT8DWUCakCPExBws8Cj4F1RAdog07MBMIF9ojjxNCI4gNCjsoYce gjVdeumlWNoa6id73aW333b3M888T7BlbziSzqbCsZ47X7xzux/90OYwoj2RWCRKZJst76yt wDPTBotgapeTEb2IOHxYiliHylkAJ34hcdgIqWNoOFYI5ttvv8218u2I4pW2AAAAkuUhleVG kUFKkIYRSaXhjqARfHJH4CHWRG8S//jcIHlV/sx3wsxo9c9AQBK9tAaLLE6QIGSnmHzmfggO OUeR9kQ6Q7ikCYAiwpx5LWQ4Y2x7791PAr6as86Z9ofjzoxGjH32OyDal8SgvNFGm3w845O6 urFGznjqqWfOPefCdF/anjcqy00VgnuhV9A5ehHCEvtwBlgEd2dDwZASwi8SFINhDKCCXxYk I+AaaCFKqfQmuAIGED0MSqFrHAGNyjOT0iIzump2agFank5xD5YZnfYoV7J6r7IBfCfM8FpH pX+G55IkBmExs0JSEBwHtW4z5AWBIvcrO1/2XxrrV/OIaa3OGVMnr9vU2N24uLNxUVNz86w7 /nyv31dSXlp9zNHHJeOZa6+6Ya111jn9j2dcdMG0ivLSSJirzPXKwQlqjJatBC1QMNwDLHEj yF2g4tbQOvfiRghUqhkLwiF6eoC+wRvUD32rVhNGNlVjQoGBTdGtaplrsQAacAu6teQunk6F B5RRp8pPMm2v4jPfCTND9c+oXDfvXQsbqb4ZVfaWYRCK9hU3EEPQDsetD2+dHWr/TKhSJ6TZ QzpABfKCjAAP5AiNKn6Re8njQWPJSPo1YyvtzlNOPefHO+2x4fo/WGeNbdddc5NEOPf5P+e8 89I7C6fPWzSn6darbpz58efNjR3lZdVtrX3BAMVgzcoYXI5jBC6h+ANuATcACfIacV8xEA0S 2MBSJD2CEE6pTJTiEhg50h0t6VbOJTZ2ePMYkbnESiZTZB2LcgqTdKh+uC8zhfR+JUuvXPkz RRdvxntUVQdeJbqjkj0Gj0dSgBbfgw+sdFxNz0PadPnXLuEDW5n6nIK8NCsPkle49NjKfqsA FNws5nIA0Os999zDk0Jq/KnSh5xCvIEKCaVZ6vh7uyEyt5FsB3h2X2WvkWg3Opxel91wrFbS sNYam0abexbN/iSdy2fyHq/PSGfy8+Z/Thoz/QNRXo6kLB4WeEit50Yqgcmbh1fATFTDX2U1 ReJwG5Up41VTDw3zgGLGpMBoXVvQIpsbbSyGqZXc6US+JjYVr1FBDzE6+UCHafvfizfjxQ3J PyN3m5xolvUTF8dQP4DKfKnakGxcmmWhAIWuQOsSrqw4sSHdQjCmKznRZQfbcsstd955Z5wt ZGhSUJMqM+wfdthhAwEGynL73SzV5PCXeQN4UTwBR0nQVeozAiVGaVc49fqLr8+Z9fm8OfNd Xo/TbSxYHKXqBoARGlXJErAhesn7zj54gJqhbBg17A6ciCMxYfGkjBOEqDaAtBR2UId4LfAW yJ1uldMmvgQyeToQwr3AA7eAnarGAP3rjrIWgF4BZlgDNIf0TZax8ZDn42W8z7e+bKj+Gbmr FZ3B14ImoIaLLrpooBtqavzmRnuV3GZHpCDzjtJ92eHTir2Ik8gM9c1toPtaQp3mVHWCYqAg X/bRBxTNzbMo8GypG0Vlw7Esi/Sl4+zlMvGsK+205W3heLi3t8ttuNwuY/Jaa7Q0LrG7jPKa IPeRlqLUfNX+E59RXQs4hmgdIHFf3ieWMV6jllWiDZIYCAE8ercSWbkcJMh7o3EiEeDP4aUB CYUOACoZFXixcqfyJ2PgeTFq8ys+BopW+TS/NT6W1pBXyVtGRSGfRPZ+WP8gOUkK3+KTQH+8 fWiCr0ux8KEOghupkqoWllCgl/4UnPjVET68uMSQNilLkkPYgKJiAqBUTedKpaQNjyNl/Zsb vC8Qcjl9Do/PQxyOy2EPuZ2V3rIKW0mlt7ShtDbkByJGKtxVN642bzNcTP2Of6+vxkNJp9L6 UBCxRgUFAxVp/CAKd6pAK46h4XEc5MgFSTO5RPXy2RH1Az8LG4BQ75NbaMFaGcoEOdVVo41s a5bYNqRXuqIaFyOfGZJ/hvfO3MbXVeFjqIGvSJn9gV7oQPxB1KOIKb6ohQqpqlJ1uJG01WWo kyL2IrlOEz93pEOkGkVkqhYM3IBbf20N2n9zRUjQZsSxIqeTuVQyEU2mY3kbA2c56JyTnYWf N4EZNyGcHY2xVCzSF8b5CL3KkMUvkhj9w9wUIapSmrxwhsRUhWzGQevZ9bBczktQpBy8RSNU ARp+Re6KYmaHu9AVH4LnAqK0oU/BUtgAcniHuJAB0L9wpVzulWUrOswM1T/DjCgKZjKzwv7Q ZwaSwaDapW4yd/JRtZYlVAJhSatBR+9fV0V3GaifgT68YmfY6Eo9MEIoDOqRH5MOoU6mAB5n oIQwVjV3mtzD4fa57H5o2LSlof577W6fw0W8QH11DYzFyKfKq8viqUgo6Jk0cYLsIpKjUNN5 Y/zJFKNqt2BG4Tx6japFJp89w0Bi5BTXQtZiuTKFsyN7tGqmweQlYUqE4zjPZen9DADeBTzg VPQvw5q8nDyv5qmVBTDmJFJsYx2qf0bVUHkKKEgedCiAQmED0LSRSdsyabJKSHCMZbLxbCaV TRvZlM3v8xv53JKFczb//vq7/Hi7fCre20E9F+NPJ574xxNP6DbXEI/bHHYv9fC7OmPxaDaP 0db6p7upotjSN54LKhEyxXOkI0FPKprBWQhIUv5AnaAD5YxsOgmYs2TOZHNJSsuypZOpSDjM jrPcyZxveD2pRNLjdtoNWypjmraFVe4LycKKYZuWrwbECiqAgcHIucnDaO7Hx6JZifcsE6Lq pNGAV80lIIGelT7N5bThRQlyWuaElkoc4Aj9WFObbAYcZ2eVbPadYMh3HVL+DJ+QNy6x2HKN YYbSp1I0JOTIDqTQ2xN1ORGN7DYIONOaTLW73Lbe9hh1jTORVD4e+dlOW91121W3XH3xZuuv WTemdvN11jzr5BMwclG4zml3RPv6YBDBynKPz5u3Q7asMx6jDjhl77FCO5x2DLu9vZCfWa3C vF1hpQpRD0fEQ0SgIiAF1Mi5oTV2mPhFrJit2IfpSZgUtFh6wm84nBlbOuPIpvNoMwaSkc1I pJLBUGkOt7/TSJEy4/DlDX+Zu4wFa+JR01Sl4APmfoWWKQWNVye344wZMyBljovhyOkJSDRO JFV9UdktROtgu3+xGBG9pe+pvbilJEPLcMIRYc+y7C+DY+A7Udh3vrjo+AwvVxTGcl8qbQrR D1Lvi0+InQehmQ8M2fEhkTrOO+88KEA6rqIeeVGgCFsrszD1tUneokSLKWPk7Rhl490Zp99e Eii79cYLD9r/gN122eqGKy/45c4/CLcv7liyEIZTEvS53E76n79kISS4pK3JYXPAZ1jXoqOj FYJzuhxNjZ1uL0X3QtCiArGYZRkDMr1Cd1EtoCpwwtSO8qCYEQCD3CLbgMapaF8kH5GXLOAQ lmnpcrn7IpGyQGm4t8/h8WbtuZ5oT0enuQ4ML6qxuYmV0NwBz5LGFo83ZDOc3e1d2bQJFXED Nu7O+6FbemNsUuWJ/+eODJsjvE8MZTQjboDnUp3ylWsdsu8Miv/SQdFhhvEOyT8jWVlRj0gd Mg1dd9112L6Y/KBFfjGbqlI4nUdjmWCZ3R8oTSVdsYgRD6dQCnzlzpoS12efPrjHbod+9OF9 V13yp333OnDfvX5QXU46VN7rsecyie72lpqqikkNE6D7sTUNfQnW9GLpmGxVZU08EYsn4pVV FFLBC2HqAxA6w+Du0B+5Iqquwj4zrgryE8cFYsES6YqMHCJGEYeOoVEeQUvGgjFZnBg8k4iU Bzpnnyelc/EKrTdGM8AmzoDCQD8Sw9gALWNG8+adKP9MCJHjH3hwLzoBw7wrVjAXmAnWpH+6 4vUOMmeNNIEWYf9Fh5mh+mdkhuYbk+p41llnUc0VwHDw5ptvJjT47MIGiQg/WUSWUicTs81w e93lleX1XnfAFbIF3baX/nHLBhv8fEnnw80Lp1eW5e++9ehLL7zsoF/8eL21twwGHL6KkvKq 8myK7KhINpXt7u4NeoPlpWV9sUQawu2L+704LsIlpeaiRfA6mRCgcpQBuOW2224LPHg0KFVB WRwERVAzUiWzu9Rr+AAkLiUHMgUDmuAlr4pZQf3ITvTDQZAGy6I3aw0MxRDQADYF3hDtuKkq /xNcLAsvWAIh9MPYuJ3gzV3oHBa0ySabyGHCtZIe6VBLpa/a9AaKDjND9c/golZ2BwSKKx2v ziGHHHLGGWdgOjvyyCOJDmYWh0QgRKbent6OSF97aUWgraO7tTWWZFLOGGNKSx+677KTTjq8 ufGyjnnv1lY505GmxvkfnHrCtnfc+sStNx3b3dWcaF+c7O0KBAOs7tLd2UMdO2JEOtp7SkrN aEtosbFpcXkFFcSjMZhXwd9vGfRkxlUWgMIiuQSGA3hktzCtC4U1LmmpyBo55nk0VSUnsxKA kRgsxQDGxYU0g6y5i5ZcxjdPlhgYow3IoQHYIAJAMmqhgrMZ/QU8ZNQWcjiiXDS6YhjwFi1F uN5669EJUIFFs4zUQP6i/00UFR1mIJoh+WcgF74oJMJcK60UomECFslCEwp+YX5lSoYBlIX8 kXi32+Orq61CWPOVlH7xxfQTTjzx3rsvXjj/496u1nQsWlni+/EPN3dku669es+TT7jq0ovP 3f/nexu5VLizA8IaN7YWU1so4C8NlS1ZsNjtRqFaUm+6ONIke8HxIFzITjxBqr8se1bWF3yA ISF6MSr4DNTJKS1ujFtQkZRk1CDFyXTBsyAgAQD4EhjgKoU2Ai0YhR6fU0wKdMVVnKIH3oZq PkH0wAPEygev6UNJ/NoUuSyTHbIiVyGh8fZAI679t956S4a+VVuR8pmh+megKgVNymAgxUau dI5DCkg4sCCICQqmUEp7uIN6KaUhCnwZTU0x1qJYb73J77zzSDoZTsaikxum/uHIa0857vqK ceNXn1zduODj00/f9YLzz3r8b097ykvQ07Ge2fJGnJSVjBGORBsmTII1mJ7BvgidY3Eg9oW5 nORkCBHEAh7IWuHDjAFyByrUfAHq22+/PW3Qv2m28cYbo5MoF0DxpgCPswpwlO4OKSNl8UQK oWeOAEtgAxYE5BSdoEwv/pRVQPwEFHFKrn1eC/1oQWxuxz43UigqL81Mny5k9tNMNmgF0axc sS0jje2i4zND9c9YUbSQCMSH1K6ZXqurcpA5/oEHHgA2iG3tHR033nhjwB248sorqF38zLN/ NdxGPGGEqkOmwbe84ZCDzpg6oW6LTdbdb4c/jJ/QsMZaE3MZvOYxIxbJh3tYirJg9jVKQx4n dcVxHxI+nE4TIhbwB6J9YY/LXB6sYKCrUD4jJAtIZA9QMT4wzL0YHgtNMiq5/F966SXYghXP poBRyBfaVQQaR2TPVewWZA2vwKjAk3JK9l+mD4ibfqxgORqzL9QBNt6GYvOkIwEGECs/PRuw VMabadQu4E3JcPSgS1ZtRcpnhuqfgZL4tCIsCIKvzvTJPr98fgADKeywww5QFbVdINmTTyAU zXH8ccf3dLf99tADMvG2721a3dXcuP6Gm6cToYYx6+bT9YhOEOGixvZ0Nl9RXUX9VsPtsgUC XS0tzOt0ifeFY2Z4Muu2BgKyEeNGVIgKzEFRZNJeGBsDA0LSChQ5z/AYEsNjkIwQ0UuWPQQw UMdL4FqaSflWNBftIWXlO8jdoSwuLucs4GFscDCq0ihuFcYLMmEgSl/hEoYnFPEn9+KOyF38 qn8GjD5Db1zCfbmd1nKi51V8pv98UXR8Zqj+GUQOaEtlGfjq0CtUBVnw7RXiydNCCkzMpihP 0Ikz2NMbTqfi4yfUZfNRZ8jZ1d1uc7r+8cJbyVSoJxzwB9fojWD8qpuyxvcWtXTFk7loXxyn fzaeqKirg2pDpT6Xx+FyE4m8CFpf+MXskjLTebf11tt2tndCXpKpJGVxHFRAxAyP8bDPQU4x u0PTWmKSAWMIllfxnXfeUfUMZQ4rykE2N7qCXylni2FgGAASlsYvVoYhAdQBEvZhIyCHN0C3 3IuWIAE1SYk6Og7TY5bhBTJgBob2wjA0bDoRYrn1KhtAUWOGwQ3JPyMBHeJj/oZQUB4gNQhL se4gR5MoIhBkkU5lopFYMhr3uF2pZB/G51hPx6TJU5zu0Obb/GT8lE19odUSuSrD3ZByVL31 0aI11t+qM5KsHz/F5gnmHa5Ib4/T6470xRHK+uKpqloKSizeaaedCGB02rx/e+5vbrPonylB cUdGAk60ZDG3hnyZ4yFTKB4bAEhQXQuwwS9ZNIBNJA4Y6IWSSNgDwAa0S8AbGKMZ/fBQgB+H I6KdvPsyCSh4gsvBBpdzU4VFchU9K7AfXNGVAgLEjRkMeZQ0ADaynZgW+WyWwXMvfnmBXCu2 tmorUtlsqP4ZHoPplqugADlk7rrrLuLN/vSnP11yySUvvvii6aR3Uuq7XItUYuwaVz+emHQ3 yoeZ0en8Yu7i1va+Bx99/vKrb3v2H/8MVo8zAjUzF3QnbBWzl0Sq6qa88dZswxfs6I7YCRh2 uQNBH8FTqXQiGu7u6e365JOP29raM7l0fV09gcTQMRhG2YB8iUkRYiULKfgKJqOqSErqog0N WNtVFA9CqHAJvcLBmPXBA2IeJD59+nTO0gnAY3aAXcBgpbgDS/ZVFJNfSWKKjVAwi5aYtQpW 8NTygTK5gBY4G5MUZ2E+WkwTQGrYYBsOqZ5XAcZ6A0Unmw3VP8PnZ4KERinLgk+Gwq0nnXQS jwdsjj322N13333vvfdWRjtkAfXMnT2HUnatzS0GK7Y4vfCMd96ZucPOBzz02PN/f+PtinFj Hn7+6eZIOO0tOeLEa6+8+aHTzrly7oLPDZu3rmGCxx8geiyeTlHlrrQsmMqmauvHmhE4dke6 D6tbMlBYVoXJWwkqUDNJjgyG4XFrHo0NRMnMJWlKydtQLVQOicMiQAs4l1uTs3LCSF6SncOi YNpwkA41HUgKlalAEqAaMCQOsnEhwiFAlZFNwXiwO67lrGwJvE/JbwyJU7w6OrGyA1YhhzdQ dJgZqn+GDw8RIOEwv/KZzTSOTIYaGnxpdmRr5heCMA1TLveUqZPdDufkyVMMu7utkViSsTkj uGBx2/MvvvnCK6+++t4b/5rxypMvPvCPt/71+cLFDz/5yqez5+Vs3kwyu3hJM8mH7T0d1BMj qCydSdod+d7OdiITTV3fGygpK+1q68mmc8zWsoAxc+NqBCEQnxJF2FS8Qu5LpnOVO4KsFXVG A4UhS56U2CnrmWI3eS56kOVNNkZZO1RaibMwBwmHnFV4G91yI0tepb1pdi+kJIgpARWrnBJA xWVEY0UDMDArtHQVYIpUNhuqf4b20rZFlAo5o/ax5k4ohg2CgAhME62HiPRcW2uzObV3hmvq ah1OnCGuzu54OB5L2VJZe6Ynkcr6DG9FaE5TqztQa9gCdpcvnbOPbZhI6HJlWZXpGjRy6Rxa QWlpWSgTj4Yqqrta2rIJo6LcZB2oMdCuPKqaoQEP45QzRKg2uRPRaX6/FTVMS9iRMMOYZd6F gmWz4hJFM/CkdAspwwGke1jxxRxhagCfVCQTKnREFf4hfV4CPXMtr0I7Sk+gGTBmxmFfGj+N NTCaEcSwCi3930DR8Zmh+mdkd5J4g0gDGUEf5AJAnezLhgaQJLGYMcKRSM2YMViLSyrL8M6z WFBZWXlFaa3NcATcvli21xV0NrXHk2lj4tg1XUZJJkcxAKfPH4ghxuXtXeGeEl+I2Hu/GzEm bIaI+Xyxns6KuhqHz0ghutnNohBsjAcYMwbAo4Au7ch9BK2LA9BSQWWME24J+fIUSjhRxBrk C2XLQKxIbQ6a8mDhiChboZmS39gnuAbqpxNlJqPfAyGupStBkWvVLeOhmVQ+sKfYHKW+0kz8 GQY4ijFjo2acufEy7XnWjefXsOdYQZ5F5PI5m5GxG1lOFM6a7ThUdJgZqn8GScPM9irkD0IW 0AGfHwMA1ADdWMGFyDAQitftcXs9id5up8+dZBFXp9HSESONy5Z1hHyhdDYe6wu7HEZtjc/r Il3LIKnG6faTKJNP59wOt8fuqSwpmzN3vi3nsBm2Eoq95O1NCxf6QwHe85KmJpfPDJBhGJKL GBW/KPRiFNA042EkcAxYitz5tOdPhorGLybDESib9tArz0IPgI3nwjcK8jkCicuABokTMsNV mjU0L3CWX2EDAAha1lnLO8m1EiDVQOxdGUca9v+GrSznMLJodUaeIEBPljQ+G+TgNPJ8Ozu7 dhvzWpLIDzYwQ/KF4FVc21D9M0rQhaTQIiR5I4FQ9IjJGDpgGhZliFbQIYyMuTKRjRRGu8Ey YOMmBBIRI9zeRd4WRcdqQkGfx7HPfvtGu8OOVMblC530f7//3obrQ6MdhTAW5prSYEmACMhw FB7BCkzVtbUF8SlLBiVvlJA2bqTyrczWKAz9U68YD2BG5UDLwjwgJ4mUCjQfBREzu8uqIQhh YVMnEj6ZIzBkyaSuvEjr6YrrQ64MoylQP1NmzpZz5sykcBMYBW7jYDaE45gwMcz14gvtvvwp OswwriH5Z1Q+E+qBjBBLZIGlNDjTrYJBkHwUeEbPKBSG3evwBbvDbdNnvh30Gx2dsVQ6WVJV Q3JAtLtjymo1n8x4/pLzj99lh40Nb3btmvJLr7x8o402rBlT29Aw1uN28L6IigxH+kzTFlmW wSC3DpVTcyM9rmFcgvX48maYJkyPBvIt8qeKIPNcctiDc8BA5Au/SuRUVqmJ6mwW/AN7zoIW oMKOrAWATSAhflnF++AGSh0T6lZty/gG8gOhYOmp6kWHmaH6Z6SxKAYeMoWMwAm1miBWZBVc 8pCaktd5odW1dWZqcBK9ObDBWqv3xttQAUrKPQs++Sjb1bn91ls8dv9N222z887bbXnFBSfu senaq0+onf7PlzvaW+bPngVhm+FhPVFwY2oOBJ6h9BjE7QfDnT0uJ6lghIpiQzNhwzC4qfLD uC/DQKkADApTYGCwF/lb2FfdGXDFVchpHGSHP0GLsoNkHVYyDDATH5PLRRE3K1cNimWk7OV0 mXACi7EA82+MoOpwrugwM1T/jNQGEY1CPyDQ3/3ud8pqlMIAXUKUhST4TLQrHo3F0UZ6U23h SGtp0Dn305kT1137e+utdflFp+++yxEfvHH9nTf98ejDjtht+42ykeYNv7/egnlfTFptEsgp Ky2heEVXN+yCYEfq4VfFesM2F8ymhJhG6hm5bAzHjP9XTQmiv+AGsm4R1aKKklZMPk/KcZgJ qj9IUNAArJKnAJP8qdh+jGAKu1QiJ6yGzrX2Bl3RJzcapP7bcqK0/6XbFB1mhuqfUUYXzOSC Cy5g6WMqIOOcIR6EWObrr78eIY26AhAiIo0CQ4KVvrKq8j6KzuQz42rGzp732ZR1J1d63Tdf N+2s086fO/POJfM+9eSjN1xxxH1/fu7Qg3erK119xx22M9KJgM/T3LS4rLykoryEDqFUu8tJ sAyCb2tbB0vERsIpTyGMHxKXU58sFJkoUEWUHqMgS6nmMhXATAgF4CB94oAHJOCKfdQz1TSS 01OZ+gCGlvJpYk5gpgBs5B1IZVq1LdMb+CYE4DCFf6bu3188Mw1nKDxFh5mh+mfkD4GrQI6s arTffvsRDfDbwkZAAKmaKk0k54Pb44jH0mGWmLA5yz3V3fGe1SdPKnN5n33sxrNPO+Uvd53X 09q4zpRJq40bkw63HX7wlCum/fXyC389/YN3cum4L+hlUfumJY28ODPiU3X7KegcjY5pGAsH Kwm5U0m8qP5XXnmFQEmgIjMXI0TfYFOctUx50vWlh8AYQRogZMfs0+XCHqAoLzQfxi9vjyok yaLFnyqtRGN4zjLRyqqLrDcAGAYJqOsPm2KVzYa0/oyMs0zkkCAKA2wKfqJERcUgQqMQrsg3 mcJ5nw2V+L32UF8u63YFJ682efr0v/3mt0fec++lDVMaGhc3LZq7JBmO+522zb+/+kXnbX35 ZXfedOO1u+68UzISLg2RQVPeG46VhEj3T1ZWVGOc9gZLculsLosdwiR3FPKtttoKiQtRUPnM DE/lXaB16J6NP1VQj/aMWTUAJECqJWoPcpqiZmTzVVQy+zyXCisDP/DDn+zLkLBqW5Y3YBoA +nEOU40xLWlfsZqvA6YY9Zmh+meYcQGJ3NXaZ/JWQDsJ9Dyhah1BnYWQlKQn6Ph89mfo0amU Ox23z/5i/o933mnGZ4/HEq2xzqaJDaudfdrVJx17/tprbEA2vteXPuWkfQ77zW+ef+HvMbhT wc1SWhLojfSpip+pkROl4nL4/K6ZM2eNqatjDFC8MgIgccIxGQw8gfHIdwmhK6VUrnpGSz+W q5FLZEADIeJCVtSM8ghoacl74q5KcVkWchnKNcpC0xUK/JFbbHRt/34iHrbfZkpphT/N+avo ZLOh+mfwdcisRNkH1ACZXyEmKI8AexmjKKnBoyKnITjdcN3la6w25fzzpwW8FU8/9SKaBa8j me1llfAFixb+4dg/bbjBlmuts8lxJ54ZiYVDZZiwHBSkNNzOirG1TY2NpSWlPb3RkpB/3Lj6 TC5PGUmqqtF5T2fvGqut3t5uZrwhK3JfRcrICSNeAbCBE6PFNqAAMBprwSnFkinnlGaIdqBO GZQgig7l6Rc7YgcQwoX45RZKBBhp2kX1srycCja1vKUjfesR7N9kMnhk+rOar5gMrObfprP/ GELRYYbRDck/Q3gVdMMlhNAzoytVWJFUKMeqhUf4GQdvv/32fC67zz578pJOPfl0p2HfZdfd sxmbw234yksmT506ZfV180ZZOl/W0p5ZsMTwllUms6ZOQv5xrrsnG42Nra+P9ZkpK5ms0dVr FsdopUpLRTmvnQLiXr8dwxpOS6ZhXCgKgYPOCHnERMF4GKp8kXLLyIcj2zH7HNeaLRyBQzJs xo+Mp+WNgBMsiztjTBPtclymCFO5GvoaVd+REEdjlMB/w0LBjcMM+9/afcdXO/TLh+qfATBS iCFH7gaTwVarCBombP5UARqV4mZqrylE6ROP0tTSY1q+nJ7KqkDLkpbWjsgbb00PEubsLE/b SsdOHtvamy6twuDbuPrUqXYCVewu9BIFOxLKyC+UvcVWW0VZeSwe8/rcZHi+8cZrMBboWDnV yqLBDgZ4lEIMMBgqndDm3XffVWqAaZxwu2kGkLRYBRQJ5ACeCibRnqdTUT+xFBIHFESjgjKq azOi23/KKuZfMpqP6E2XV+f2AqvpvyGk6dGsncJfhcCzosPMUP0zTOGQmhRupVIhyWiFYeWi MT1LEILIgqESahm3NXcQXFVfV5ZI9sWScbc3VDd5/XQ+UFE9tbR6Qmt3amFbJO0oT+TLFzRF a6obnHZXb0s7aniwtDQWjhGLRlfUfQYW8xbMrampQk7zeD0trUsmTZ6Iyct807kcBI1wiPkL 3AIPiB6YMVol4tPDT37yE04RT6l6haAFEmTMWniMuUA1wtlgMoCEbrXIB6eofaGiMxIC5aQa 0a0/Kxs9spn5yr4Ggf725a8pbF+2LDrMLIN/RmUfoFHCmRHA7r777osvvpg6mqywh7uGDEfm aYJz6bm5qaWvKzZuwpRo3HTPh0pMlXr27JbXX3zr5Vend0fy1938aP3k1TbYdNu/v/rpmEnr Zx3ldof37X/OLJ0w0XB6sglzBUIu7I2YpfsBwIxPPiEsFH8leZrUQMZCJvc8mOF2jz32GIGV IEHmO44wVEQ1FZVWujUCGJhX3hiYB04YD/iTzkWmUslUjgxcSQXiWkVPM0GoNNmIAkadA2xt 1r1Gl4TWDyH/4Zn5uhm66NaghdqgAOjj+OOPv/LKK/k8kJGstAORheLnOYvcL5sSZMd8rOhM ZeFD6/RTAp/JGksWLShrqOmK9VSX18aiHVVB587bbBKNtOaIZQmt1hPJpaKp6rKsOzczEcnX lIUe+eeMyKK20NhJhq90SVNnVV0tc1NrY+v4hloKBRq5LLVnzZUCTHIyI8kxp8Eo4AwAFVVe fhglTmpIbLK58SdjA0gcgedgz4CTFGQ/M76THeRMqgIAIR5Qkc68GWW8aIVq4IQESHrmUMWk ZSB3yWNyyJpySuFPWfmKafsytl/8wm4G7xfkqzx2P4oPuxMErNuNNb+3y+33/fX++5/IZ/BK m1lVpE6ZD1WIYTb9NbmsM59x29LufLyyxH7Wnw6b+elMlyP7+FNPLo/5aUgvlO8xFP9MLp2h 1rivq6eTyjCsBVFRSZxxrWl7zWcz5G4lgBMR9TymueipuRZLLNkwcSKmsNryaoJX/Z5AuCv2 /Ev/euO92W/+69OXXnvjX++8++GM6a+88+Hf35752mczHnn9QwLFQxOm4Abl5dfX10bDURZO amioNVPPMK44XL6AmTbscJrqO+NXFrEFGNmIJUDKYiu3JlhinyPABvDATzASgBNYk7QmTsFG aCnbmmhUtkHhihuBPQBDG04NaRvSR6ExgykY683NNIIUzM1sQ+1nebYHMP0UkoKJjP/yhiNv uHNZTy7pyifdubgzH3cacXc+6TQSHDEP5uMuDuYTznzSbiTt+UzhUiaMAr9FjKGoMeHljz76 KAXCxYIt8+jyfELdS7fm88NnCHsRNUBtioS3ZtMvd2yZvliP1+8Lx5K5vDNvQ8sgiotFLAJG Drm/vayigsmYZEx0/d6uvqoqs8IYn7uzt7OyqrovFg0GgrFIbzAUZCkk6JlaTomEKUH5vE6P M42FzcCsBlpMqZcX5jQtk1+O88vdwjRWGPmXL2vp05AUfZiP6oYhv0HxzA6qEYNtAOlLJQHQ fBgzRKlQTpEp+1oiXAnJSgFQRppMDnLjaEVyJahylZKoaUk/Jpst1OaVwUApN9/cBuE/UsO4 kD61TNpy0KOGToHCSf9vYvKbFO/f5SVnnOpxObtz/Q03RaiAarJ2N99YX0+QMJ0PcJl0CmJy OcmuSR9wwD6nn3b8zE8/YWG5xx95uOgwI1KQIwJtWItGLPVDmrCxZfIGjr98LJoKBSsoXoe1 N9wbKSmDpCjM1JfKpBqbW1abtIYt7+rtNuMmeTOBkF8BwqI8NqgNoUhedrkX0Tpwj0AcwyV7 6I6iVHya2AawIxNsxp9YLOTaVxkxyFE1NSFu9sm0kZgH/9E6u2CGeYRfEMJL4HKF1XCVaqbB i9iHoBHw+GVCJL5GihC2Ppw/gxDiQDKessQZoUar3qwxD52yR+4KCzOW4csEQpj87UBJMpml MDHQOOGEM8c1TBwzbnwLXgRLGyQ30xwXi19hE8w6HXlKPmTTiY7O1j+eeuKMGR973c5nnnii 6GQzhoxkBWAIHpP0AnFojcv+mz4t/8WSmc+/mBsKhIy+BAFY+E1Kgv7enp6+vK0jlc15y8ZN Wu+TL+bPnDUHMJiaT4kZ1yitQGjhl9vBythhvpeqLX+i2gzLpiKxdMUYsBdDf8wLMhNzHBIE wOIATBMATOwCkDAwLbCjPP5CeI65dCtGAobKPvIbmOGIQnK4FgO0wnAAjOrI8ESaIOQttSzF 314LYjAKHld0HD0zta0MtQK/9FeiysrcR+Ed3Guk8Hl9rjXWnLLVNptsvfVGW2+1iflv6422 Mf+xs8l2222xzdab/fAHW+y+287JeK/bZvg8FPo2aaHoMAOZQq98j6OOOkp+DEhK9bYtF4E8 A4UPT2hJcBKzNclkRj7BCoFJsvYzodJg2uaM2z2LuyMnnXVuXd3E7t4oJcmp52RKVIX6xdCQ wiglBUF2zJrQHNxGvnaVlhwIMNZgvuWObgcf4AEl4RC2zK3ZoH4oHipkdlAgGY1lOucS9rGt cZWCMtkkxUG4sgpYUS1UnWVfqg5nZaSW+EQ/cE5NQAobFWy09UeOZRz72o4sFlrRSeqZYreH ZUIZ1k4EEsnSXzd5QVBkqBOuFAz5WdbN5yd1POdx5TzujMed87pybvadBMLmsplYOkVhlZ48 USKZpM1IO+ykc2ZRh4oOM+AE8xHfA2WGWUGmMMVTLfVzNrU1e11+I5E+YK11Lz/pxFMO2Nfo 652/cG5bHwsEhP7xxged3cmSEt/tf777N4f8ZtLUSVIhzEh+u52exWEgQdmCOQi1QRxQg4IJ BvqcA9HWQMfFZBDJkJ240euvv86f3BSSZee1117j1irLZAGVQSrPDOcmpxCKNHIYBbxFxmgE NoVvMstss802PIjsBJIwNeOouiymAukhkjY1TkXEfBsbGu8NMLOik8yY8BxeVLHWPbNgYyHH RnhuMkVyvwlyJK5AgKzBjNeNGQjZvs/GvzxM3vxX2E94PbkgFUec+Ui4u7w0QCWNRF8knTEj AIsOM8xnmI/4GL///e/lguDzfC2eyqJLh80+oWZsrqd33y23+OGG69T7XfM+fm+r9deYOHG8 w+e5+/EnX/r7q9dcedHc2Z3XXXP1o888ft7F5wZCpmymuhZ0i9ACPhF+IEoIGmcORAZ9QKmm nW347EIgk95UaR+Chr619CzcAEJnITTGQ/6Man0wPOgePFshzOanKojddCK7s7Ib0IiYVoQ0 2QB4dYrBASoyZCPsgRb+BE68W45wiQSVbwkYvStYFpOXtVA2txuEDw8r61i2zvojxwyN5W0U LCKUMo2HI13xRLQ33A4WjGyfARj4NffRFc1/tmw66HeVhny2fNrv82QpIZnLBFjcuwgxA6VK DCA/Wa+KP/vH7X4llZlChVm1gqUsW9oefuWVfzz5zIx/vVpd7n7zvTe6o21umzPS01vhL7fF jHUmV7IsOYvP5gv8VaEoTLeiJ3QGkQ6ktuWWW3JHyEKGJuScbyl6/ddmdMVng/K0HjJUC31r AXEVNGTDFaPZgVEpZUCZAjRgjqc9rwJCl1cEsMnno7RtjqO38N7kw5GFgF/lfsOaNtpoIy6U v6i/D9R6nxIUBzJYaxJRho+KEAA/GeVWhs30+PGJszkU1Fwg6HE485VVLKzlI/6W+j1up63w j1hcg6IP/IuzZF00nEknXQ4n/jdKrnjdrFpcWLO62B6YBxMR4MiXTgypIYfIGyDngH5NJpDK kDbnp0Z/V8cma4674vUXbvjb44aDGrCeWLx7h622PfuEE6t9Rk9rmpI81Gae0zw7mTbZK9ci z4ieVI+YjSNaNIb+UTzgP1DYIDSkMXzLTRXDFN4vfYZ9WA0SF3cEANAfzw47Uggz9wU/YIM/ OcUlTBxS8IQc2ghFKp7GUBUTzSPQD/tSXYQEGqAp8SfHuZZO6N/yscicrW2g51VtA5AMSgEz /SgcttjoxxzPfwzqSxuAiRlMyDx1LoNgnkhQkBofRgSDAP/yX/4ys7KfxtJcSMHKpRJpvzdA rrrdwCfnjPQSPmKWpSmuje8ha8zhhx8uVZVvDHj4nHwtPjZ0AzXwvU2R3WbM/PsLS95+J/nR 9JPOPNVYMrd75vSPZrw/e8Hnc2d+imvj6vMvSHWYpmjyWxa0zasdQ+Uys+AdtKVViyEjGZfo UKnF3JSemUTlBtEdGQ9jUHV9LlRlDFXAENOnMUPVIq8wLvphwBwXv1KYGb1JPKAlUXA8FwiR OYuRSM2wqmHQD50IXfTAXeBCYhESLLGA/fOf/9xxxx1R7lXzQDYDRQlB3DQG9tIGiU/j7REL pxVwGYMKAqqWGr0xDCEB9HIVaNTLMSPrkOoLw6BDBbzSgOADmeCKi3o0moFzLrF8OeyosmbN P+YlB+48g5oodocZealfPgNHHLkMYZsOp8MbjSRKQhCki3WLnQ6PWcOp2J5ZgZUQ0y233KIs eUaoGqrKLWNiVgqXaTiKxsaUVdxyzbVXXHX5pdMu6mlpfPlfb38867PxE8eVl4TmzJjewzLf JUZFZbmRyY6tqY309cbTJu9SrA10I4lc9IqWLCMSZSu4l8JtuJ0EOQag5TpUKxl40Fhmaw7S IYQIcn784x8/+OCDENPWW2+tpDf0Zpmw4WMQtFR2TGHQIqiQnUNWLBqDJVgcOwo/Y4cGWkiD kRBKww6iGiPBvQMGyIBg2FAzoBIYeHv0zADYkUjGgxAkyoUYDMCbct04yGsURLkR04Fqrivm jehsLU3DA2q1D94Vg5S+RBtAyADE4laGrX/k8lceT8qaYQQz65hRBND51a/JlzhoRjoru8b0 eLJvtilE2RSfbMaYNMFTAYMJUsIAtMU0T3SJFAyoQSsh8+U/+OCDeDIxfo0125PpOR1de53y p5/uvd9nM2dfeN65s2bOMAWZzpjhN/rCPcm+eK2/NpM0/fGy+dA5aIQgCC5m+pRbgz8hXChY HhW0cCnuUA/WJ8BsZWLSRgY37FpggMYM7I033iC3mdFC38zEkBe0JWZCz/T5/vvvy1vKn3So qoWKZf74448ha9QSWQuU3cAIuYUUeo7AALmvFX3HPv0w/dOAroABzyXnkpgAHXJ3biHWx9sT VwSKCjugB4ZBDQPaSERkzFqgBoTQWAtsMAzlt/HqQBFnYTXFajf7ligugCfvQMO18ZsvYOPf /2SqNpFjmpfN+A8CTQqI+pbdL7dmfEIJ/XvuuSdBynwkjM58WtaWQa4gVJlf3CxM2BSYhYuu s9GGkWzms8VLPl7Ysskuexv2gNdfteFam91yx+0bfn+Dmsl1RtDR09riLy935V2xaLQsWC7N WLxF7naWf4FMCU+GOJSmD4koywCyoDGjUoQL10LB0K4UA2hUVmBgA1dhVBIj6RxGwbVyPirI gB6YzlluVtyDZkznIIq7IHdxkNWaIHdERPiAFm+Tv4XxyOlOGwzxivVUUjSjZcwUtZFuwxF6 RlrjjlA2Y4AXyQfKKa7lKqYGBs8tTIIpbDRjmhDDYZxiccCSgji0Z8xMGfwpV6zWUWPOAttF Wf4cJBAF1z+CxiJe8Y3+NP8VSEweAjzMKpr8658DoDLNX26FjM6iw4zkJWjlySefPOGEEyBW RcGxGqaKynKKeGfog+xLI5+r3fz7193/lwteeOn51m7DXWE4Kgx7WS+aftZY2NX6yidv97jT 9tIAccJnnXBWXaCOVf64lg5BI58c6ociFW4MmUKvwEBiEg20UicCjJa2ZGAiXyXqMBKJiLKD QUxaNJNL2MCDwhcgWclmED0NUFTEZLgQQgQSMATaM53LKqAAGRnKpMlYkf+AQfo9I9SN6Epp qnQCDCRDMjbESzqkN2W2cRarNCNnn9HSOQ9ObwyPSxgYT6SF1OlEpa24CwIYUwm3AGYKvmaE LMDGEQRO+meoy20y/XY3soIytdMfOQOR+pdGAqt/U2IzUYPMXYiEJj7LljPrAfBbqK1RdJjh o0Kj0MFee+0lguMTSoLiQ2pmFe2aSVfM1n0xe021kTYSLd3G2NUjHelEykN4QNbh3P9XB+97 xK933P9n7rIQyQBG3Ag3dTvtZnojPSMLwbKYeqESCForYKIbcC9ZpYABNMFZ6dzQorKRITWI j7OQDi0VpgB1cjmCHH+yA5XDOmAaEofYVCwTQperlMmbriBEDvK80LSWFAcMnJXYBuTUmD8Z LayDDtnhnUDKPL4sGfAxFUNjMIyWs7wfepNig9gJ2hk5awkqqpKxcUcenN6kjPFLt+CBI3ou +hEPoSVY4iDNRFUgmXHSiVYO/HakvDxbKQkAU+HXqpOZ3P0rFUU7SyP+LwGTy5MaUECLqpzl zKBm818x1jfTHM83ZmU/dlSdDLRAEHxUqAEykruGj2d3u5I+T5/fZ3gC3gmTOhZ2+YO1JcES h7MkZXdmDM/qW2907QN3zWxb3NIRzvRmWSw20m4q1igb6oTZF2pgHoVL0LkMXJACZKQSmFAe 9CeGwy90rIQWwMDAJHQhlcmFIvKiH+QWtHNN0rKAbbHFFjwUhC7MQ5GSgiTgSVvQZMFBlZJR BWo6oXPuy0vgEuhVrh6GKqWfDsEwHFLziHI8IXoENn5RtICfaZcvwB5eTSe0VzQ0A6YrqU88 14cffsgTIafRhg8hWDIM2gBdHpl3rpWx+Ra8uuEKYB1WSC1VKvsvd5BQ9lURwP48ypT0cnYQ mAVC5r8itAFAT7KZUgIT/ZUhMs1DWHw2yTxCFJ+Z70rsB8WPe1luye7IpIyqSVWskMHzeR35 KgNuE64JlWbjyfbWjs8/n11aVUGJ91CVuagl9CGbj3QYMCA/CRO27KrQE8QhewOnRHYyHIEB CAsCgqClH0OmYECecvoUV6GNbLWSvggG4zhnaWNZzzkOxhT5z3ikI0G+Inruq8vxIHFWkQT0 IM1bw+BZ9DbY53XJTA94OAI/5JezchNzdwBAb/zJtRxRlJ34GJoYO8onZfAMSZDmVWiFAkWv sc8bkDkbxlWUcQCWHm/hxFJP+uspfCdxmy8lrv8smfklCxJvLRgBzA/LfyxKs8JkM0ks39w0 C4IN1H2FZvJdoWAFeug1SAgxH4A8yVhXFYFBeKnwQOWMpC3qsMVs6cag0TLeSFV0xpr++Ymj O7nG1NXmdi4wgIlphP/3UysMTJhkByKQrMKOtAXdSLQuPCigGMDQhsshMi5nMoZ3yXuoTXOw dblFXtoR7XKh5R6xHs2yiUk54bhmCqtP60+O6HLdZZBsFvXTvxNdKFuzZQ6RsqThWe2tbhmY 9TjsKBunyDa+LK+dR+NXdjBtOHBNP7ieGpc4MmlHRxfJgpK4Cv9UC/BLs7LHGbTnPSxO4yA8 wI5zhiQqO+EDXL7CMGNyiaVtjIlZlhkRPsOMK4JQ5uM3N0iY5GCPz2VzGYFSe0c4EioLdkU7 8ulEJhYhaTXV1jn7vY+efOjhXx/y64rxNZFsMvfv8Oj/6M/69hqUIGqhy2pqNWNel64lxyW8 Ed61kttei4z+l3E4/e3F/1ZahPy+eDQSjfA1iYVA+eTzFeIezPqGX21m6gz/olEWk2R9B48t byMzl4ImsUg0b64wVHx5moxJyVWYmA8++GDEAyDEDLH0VA1bJtLTEiwpjfbZWjt6J0xsaO3s TqV6Jo6h/H4iEYmFSmsT8VQ6Y3cFfCAg3Bcu94dIbf3mZjEx65REKf1+86xyjGXiY56mkBKD lL9lGb/1qstG6g2YhM4Ex6ekzolucuJJJzY0mFlJXvfS0z2YBzFyIsEyFaIdnH/BBYsWLkSm fe75vxvkNoMwHBQsDi6o0bV+R3Trh+z/2JVTXAK3sqOkSAywIaZHEpnOnlg3buquRIp/7Mz4 HOUh8emn7+bS9MA6MX0tvR3d6XhHPDJQX/0HoRgtbf2PL3UMKNl6XTQe0Te2qvNlfQN8F/Mf 4lkiGe3uae+Lhy+6+DwIo/APElrKv0QcdmQe74v1XnjBOa0tS954/eVZMz+56KILik42A98o 3+gMODFlBQY5iiJZ6hZPJwmpC/h9ixoXtLQ0+z2uT2fMXGv1dRBn1157PdYAxC5Kbmo5CVus h+E1Y7n/64ZIZm395cf+FyqxhyNaPYYZC/1Y0aWrtiJ8A8y8fFOP21NWWsbwYB3pTHoGtPLZ Z0v/N3Pm+++999H06fjZuLCmEIQuTXKFYWag16ogeeVpIvxAsuiaKqCx1M300LP0K/Xyykqm TBi/eNG8Ddedita2wbqTYt1N82d+Qo3mhx964Pubfa/EF+yJdA/Uz0DY+Fp7a6rT2Mw3WAgY Qz/GuVGUanEREvAKGBLysyk1FFZp9nlNJ4HL6ZJjY6mbglxVxsQ0CxViCxWcvsIwMxCf1QMw XKrhyD3CWHEULF2W41Ey2WSCiLNEwE1h5ZYp41lG1j393cde/vu9P9h89Ulrjttw6sSjDj98 9QlTFy6YU8ICywQCDLppYN98j1wkaY0hyeYrhMhWq51VfGYFoOFb35IvqBAQEzYFQyIfGiwt dVMauTxs2iyqWGGYEeV9c2P+Rs7BF3HNNdcoRB8JDQPAUukcO4bPRSqQ22O4XXlbVXnp1AkV Lzxz1Q+23usHW/zwnjum7bLpWuUBzzuvvrHgizkTxtQ7zdJwS0eMskcEUetX2LAUPAs2jEpB ceCEqUiB9FYxpG/9EVc1XH5vgHlNxn1umUgmzGDTRJxvp+/+zU3+DAUTWYK6jPIrDDOylEN8 GDS0zy9PgrECtsj+RRddJM83I5aPD0+IkjqgVLkLzbQql8eW5fF8PS3tU2orrrvsrN/88tjF c6b95c6D99/jhP13265tYdMma69b5vJRk89tc5BNwoUqB0XnaCPcC7Mj91JEPQix8mCVu8/Y wLBSTVROgIP8wv2AN/2AJexmuGiUJLdqK8I3IDHMTLbL57weM2APCY1fiE1BD3xQPh+yA/TG PsfZVL1R0d8Qg4oTrTDMCCoMTk40qBCf+v333//II4+QOTNt2jTmgBtvvPHss89mib9nnnlG sSqqCMPQ5eQmZSjc2ka2ppGIb73pRk88fN/F557+2F+OiHbOjnTMuuyCzR65//ErLz5x8rgp 6625WrijI97TTVyKbgfwgIGc/bgjOYJTSJY6Je1oxQHuyztlR65GxV/xqyx8xgP8uJBoZcYv eXfVthK9Ab7duutuSHkGgsp33XXXCROmEH66zjrrNDRMJLaDqHCchKAIsPHdFTuywjAjjzKU KqUFSgU80C4rK7EmJnH+hx12GDH/WMBZcYlgKoYO1ULHBM/jBkHhNmPA/P6S6jpKYE4eW3Ph +aft/tO9H3ngprXXXS3W1VJT4qsMun+x1/fOOPmyyy44bsEXn42pqfGFSvvCJh6UUsIYCCoD FWCA3vhT0Z9EUvGCVJOSZoxQRV4UEgZTUq4ixxV+ApjZJyyNbSUil1VD5Q2AmdmzZ/Kh+YKI LSUlZu0uyCMc7uJrAhtchUyF8Bm+u9IBVxhm4HcQq2LdATGYscp8cUTh8YoDgI55BmKceCQu 4RmUTQVyOlrbI+2da62xxosvPXHCCcfO+eKFaG9727wlmT5Hqa+6oa6+YUzFGaf/7Kwzr7zx +kt23G5bI/FlCrFiQ3g7vBSQAGOhN3Ci0C8VOmNsvEqEN8ZGG7FERSJzisEoMl9xPSCNHooy zncVNAZ7A3zTrzKLUrFYUtL1Sy+9xDStEFUAw8dlB7FcjvUVhhkp1hLMLC87JKskKuId5VYn XpBmkKwCcpWvL8mKC6tqakJVda+9+fqe+/74o5nPLmqaSQUqlli+7fonzjr14arSSWPH1tSP D5174R6/PmzPF959m5Vi9f4QyZQNSooIIFQCsHArZUYzEKkBxFaqICV35DiIYp+NuElSJsEP 2BafBOGD2C5XUW5xvgF9WZwwc+Z8UVdXxZ+kHknXJY9QSRNmvkYhcUPC0QrDDCNgfMg20Jni HTXxK0dFv4xbSyBxFhcn07mC0B566CEeg+K0GADvue1OKoW4g9lglT3aZ2YIX3rxbW7bhLJA 5e8OvQgu4fZm5i1+3ywDYMv2RqIev7m8M9iT3kIqInreW2+9xa+K8OOaBAxwYWQz9plaBGlU QAVNSk38/ve/z6hwHImtWxa24qSMVaMa6A1AfgCDL06Dp59++p133uFTcpCpkFRzPjezKpNm vGAekKK7wjCjSC1GoBB3WfEUXQZNQ6wKolExFCZ43DX8HnfccTCfAw88EMSj7Ticzh/uuGPd 1Imo3i2tsyrr/HaHy27UVpZ/rzy0fiZlW7B4SXv3wq1+sH5lndHduKi8po6H50bAldchixkD wMUL2OByiGfADKaMLIurGGhJeuQSWdu04DiXqK4k3EYp+IiOsEQr7HcVja4sb4BPpoLAECGf EukDMlBtE6gCIiQ2ig+N9clKFlo2zMh7+p1+GROCGL0QNleIrs8WDBSmW50iXtAleRwF702q kJZo1n0000oLvwXSpKiuG/Fu3KQJjYsWN4yvqR67enuP0diRdYQaOuPeOe2pnkxZ9cRNjMCE xW2ZBMV4A0GyH3h4XgTvSKvBKI2EYXBQ+r0SkplRsB2zX8i1BBRJamFx3+pqcxkMPKmFdE5T p2Js9ICJvNDPUN/J8iGtoY7q27cvtvEPaTxmlhmT4AYbbMCHhhis7CzZQpV8jvRhFo0o1J2T 3cx23nnnnH766YQSU7DitNNO43SBPmKDxufyTk3aLYJf8x11d7X7g3mP2xGLdLvMcofVBsqO WSwhZdgxqLPICBzN67CX2V3mKhpyUUkUlGOYKaR/Us3XXzxZFSQn/eevnXyKpR23mWkb3/7N DPiNZVE0Z6bCMoNidDBGeaMtDVDhofJiDUwv3348Q21ZbOMfbDy8QAk1SNR4/w499FBSAyiX OYjYppQQTAK/+c1vKBiENPHAgw/bzj33bIy5yBjPPfccMo9VGXlAdXaARdOHBPBhbJwrZHkp U7fAtQIobffeey9eHZGRFPT+OOm/L/nQOrKUgQ3wvBbVfstnGbD911cM/rI/3v9Sxy/M6Fta AQqDYWakv1exjX+A8fCh5WYxJ9nu7ptuugmZ31y3tHTpa07KlMpVtIGLXHjRRQsXLEBTeO75 F23XXHMVigFIevnll7W4KV3TdEA+M9Lf4FvS4FfNKBTK/KF6FFr9AtioMJo89HJKaoZGALPi IKyAN03bA9L0AM+71Ji0QcY+VMzQ/1LHz1f/5mjFapZ+95H+XgPQ6Aob/wDjQVGBySB+q/IW FA4S0J+7u8wFiL65QTBQDhMxLVFxSeVCx+aL/PXxp20nnXQC1Sq0ohj0ZDrXnc7B/Nkj/Q2G iBkWfEMR4gllCmMmQLzkvajsHUckjKH88PAy1onsJNVowmZ/uGhuICwNFTPiM98cP08n/qMG lpA5XOMf4usvZNUvbVth4x9gPPIHyougYiyqv4PyPNAjo8OY3urC2yakmeqT6DOP/fUp27XX Xk3UPWvxKCqERthYgY0VAfr1HosMMy6nqYDJPihrGNMJlhBUN3ESSW4KBeehtM9x/oTOrHCE AfWBIcpmw4iZpY5fOQgaf8Fe8iX/tKw6y/t7DYyZFTP+AcbDZKosdOiEj644ZXMOHRgzKggB O8GeRmNgBl+64857bWeeeTqqPwEpCGNwH52WZWnF8PohTnSRsLl0HtSDGsMrAPA8GI8gmzWd QWTin+zzyjhoBup9JbPJjqzQzyE970Dz+nBhhkEudfxim8I/O3xXnoWJc8ACGiM9xw1Aoyts /AOMR/V3kLVU7IqJVesuslrGUr87GNOSKrTBIgpT4ok4+Nrrb/0/uNhvHZUEwqEAAAAASUVO RK5CYIIAbh7wwsgAAIki20hBupZe0eMZhBehHLT/iVBORw0KGgoAAAANSUhEUgAAATMAAADm CAIAAAA2vvUhAAAAAXNSR0IArs4c6QAAyGtJREFUeF7tnQVgnOX9+O9yFne3JtW0qSttKbS0 heJjA8aAsTEDxpwx4ce2/4Rt6ISNwcYYbsVditQtdU3TpnF3v8td8v887ze5XC6X5OIt9N0t XN973ud95Ov26HNPHgvwt1hMPna73dGub9fpTQa9j16v0652+Y83l2raf/P+W/T64l4f7adP b1/ZNf7BvqnXZdI67N7rAEbl3q2nR9u9WPu+drFbn+4vGMxYO57x9lEv9tDbrnpO08OT7YPv za3/rpUfri4tvv6PPfG0vrw459MtRz7ZfjIqNi7ct93HYSuqsTocdn0ncjKQrq8ud7u+6nXq f6pd53+079rV+ahLm44fVYOuXzue7niKHzqf7/Z67Q0922hddX+fDMZ9VN3e5/pKjxPoeLpj mM6XuL7J2aRr5s53uI+q24S7rW7njDpXxjlDT8vqXACtC+f/Pa6BLLDLTy4L677ArsPrXHTn +nWN0GUHum1S11B7rI/Ageukur67LK5bK7e5uUGLc2Ldlshl17t97QEMncDSA5Z6DqLb6rmC eG/Aq21QG0xO7+NEYqZv8PGxOxwGg0FutrW1GQ0+9tZW92YGY5ix8cWnHtPXVeX/8s9vbtjd 8r/vLY/2aQqLCvjl4wf+8cLHOj+jrtGqXmI2qo/OR2ez6Xx8dFAbg0FvMqqB6XVtza06ow+D 8WlvN/hb9Pwqm8Dfjv+or5ATa0srvJjxtWkd+KiBtpmMBovZ2GJjzGqgfr6mjhXterqjK4EI dVv+MiDne7rep/3S0VQadkKS/NLxT/euZLDqb+eYO2DJ+VRXVx0w5tJV50tdnu7ZlfuEul6k zcNl0dzGLMPSmnTOrPsou/7VfQCdy9X5XPdtYc+cUNj5hg5Edo7HZQvdl04bvtZH5xr3Mryu mXUuaVdX3SbeHWZ8gLfOje7aFo+7o+DfbXe7w4y2bKyyy9NO2Ol4tuPHzgl1ByHPENVzVJ0g 6uNo16VGGGP9mpFC5QUtLS2Hjx6bP3dOTU01OAnwBwUGrNu8d+qcxSnBNoPJ3NpqN5tNzY2N 7205uGj2lHXP/V1fV5n/y/veifaJ//W8VuuJfEtC1IulQV9+4H2jj+27N6zw9ze//8nBfYcL 2traL1wxvaXVHhLkV1PfvDXjBL0zgS9dONdkNjY1Wn19TS+8ucvfz0TL9rZ2Pz9zU7ONNkaj j8PRTj9funAOz2bsz02IDfPx0ecVVU2dGFdZ3bBu09HliycvmDVu7+HCtz46EOBnsbc5eBCM BXV5h7XVHuhvAXu504WfrsDsvmFdC9sXZjpR3ZWM9IqZ3eGpG5J30G93vO7eVe+Y2YX93QGs 5wwHiJk9KZH7TF0IQgfcukK5C1K5ELtOgteNmnhYj84O3chFD6B3IzOdqDKA3fEKMwe0O95g pgcO1Dlme5s+PUYX2nQUjsPKGAw+paXlh47ljk+O/eWdvwkNCamtq/v+Ld/KLLZedt3N0daj z619bfWqFRs2bJ6RPuXD3UVXXnPte0//1fDLn//k482Z1bbA86ZEtuQW2s46Oyg+TmcO2n34 5O03n2+z2RfOST174aQrL543eUJM+pSElMSIyakx09MS0ibEXrFmzhfOn11T29TQZLvx6iVF ZbXf+PKSmWmJ5y1Nu3jljJio4NXL0m66/pz84mqQ6rorFr3zyaGffHvlwlkpJ/MrI8ICv/rF hdv35uw5VPCNqxcfP1mxcPa4aZNir718wYwp8ecumnTOwol8WTQnJS465MqL5kxIjtp1MJ9J KtrcG9PoAO0zmOkJqdxEmYHyTHdR5Axm9pANOzETUTY6QGexV5ksfmaLBSGxrr6purbBZDTO mzvnhz+4NTU1taG+sa7VOCl9DrJrY5P12zf/cObMmfPnzd2XVTxt+vTj+7dpooCuvaK+aW/o pOw5y3bvzn/p7aylU5PHJcRbLIbME6Wvv79v6YKJ2/ecNBoNu/bn1jW07D2c/8H6Q3/5f1fz 5Vf3v7F43oRrLp1Pg/AQf3pLTgifP3Pc7oP5a5ann71w4q6DeaA3+ISkAH6WVtTf/fAH11w2 H3vT829k3PbtlRFhAUqUNfq0tjrmTU+GnWadLEuKDzuZX4FpytdsuuaSeflFNfNnJtPGKbif +XJmBU7lFQDc29vbP1z3ycuvvFlcXGq2mJX+5ePTYrU2NjW3tFhR5zpU5/b2I5mZF110fnlF RV19vRJFtUvxzHWbj8XGjFs+O/ZQZlVQYtSq8ycdL6l/5rVN6I4vvL4jp6DSbm9DNP14y1EE 0S0ZJ2BipeV1UeFBf3l0HZyzqLTm6Vd3BAZYsk6W+/uZD2cV7z1UkF9UDavcvvskiueJvIrc wirsv4lxoR9uPAK+Hcsuzcwu9fezgM8HM4vA+SkTYjbvyl77zh5/XxO8t6S8Dr5aWd3Ily27 smOigtZvP55bUIUu6qp+dOgmZ6TZLjnYVUHuoVefkWZd9HkXpu8uhQ1Rmm3T6aP82xtLMl98 +bUDBw4mJsT5WSylpRXxsVGbNm06lnksLzcvdVxCflld2syF1vJjPnqfS9acHxoa1NLcdKKo dvrM2fBMZQG6489vrt/dcv3qRdU1DYHBluAQv3qr9Xd/e8laUakL9FVmgRYbRhudQa9Do4Vx 2RyxKdExoQH7jhaoX+1tPiZjm8Oh/todyraja/cxGtB0lWFIsUoTUmhzs41lUeKojx4maaIx KqlOh2KJDgkLNcPs0W5bHSaTAdUUJBQzNE9phiyDny+GqC4LEGx4MJipobbzf11mpO4WiE4b QncjRdfLtb3s6KqbntmbuaK7BO5ugegyZ3VpbGJbcTVMealnKjuGElE8KYfdh+ednumhqw5T SecGeFYOhSd00zN5oJt9zhU7nGYbTWHpV89UXXUYxvq2ADl3yc1q1fVUD/2ob8zUhudRmNde BYAbTfWFR7N2fRwYFIwxtqkZJtliNvE/M/Ipl2KeLc0+/hET0+dlbn/PiAXIbgf6W60tprCk Ky48972nHtCXFeds3HZk8+68QP8gDEQgi4YJoIeyIHWihlNwkCHpQC0Yqa8vPLrTi+NiTu/A J3nIeV8Um66eXMzRHbAtP7ve7+hC+71bZx0dd/3H5TlZuG6DkFG7vN59VB1PdGvUMdeOpzz0 6TpaZ+OugboOrgNAPS1Jx8jdpt1tdbqm322a3WbvfKBr+t0n7To3QZeuBen2z+7z7ujEw8id a+ayqZ0L3bmPXavW+TKX3enc0R4/9Q5LXaPpBk4dnbo+1w2m3IflCa5cVkMDWicM9TJ15wq6 jqRzBLgoDEYlwbpcoGQ3MEDgbW1tdW+m14UamtY++6Q+P/d4S2MNkQaOtjbnfmkT6Vrv7i/o 9V+d3tvh8Lj24zkf+Cs8OPt7m0h/nbv83l9T714xbDEIQieHI1BABt57yMWAJ97fAwNe1P46 7Gv4g4368OKdLJpXrfrAKZPF9/GnX9IX5J2ora5Q6HzmOrMCZ1bgFFgBi8XyxNMvdrN2Egbg cOCBUQwT+Zi/TkuRc8ByB71QxGWEY/6JEugMbpCW8k/56+xNKTmdl+sK0I8ZEbzzMplM8hYZ g3MYvY3HtTHf+xj8KbDsZ4ZwZgW8WoFumPns8y+9/8FHBYVFmceydu/ZB1+urq7GcOrsCbNN QUHhk089t+6jT5uamlBbN2/Zlpubt2HTlgMHD4NdgodWq3XT5q2+vhbuHz5ylJvl5RXKINSu a3MQiIB43RX9By41Nja++tqbyNzqstvXffzpvv0H6aSqqpobqL41NbUGowE1urKyypVYgMPZ J3P4ED+xddsO5O+ampqq6uqMXXt4S31Dgxu98GpJzjQ6swKnwAoYfvLjH1pbmhgJ3HLbjoyz ly4GpjMzj2HjyTqevTNjT0xMNFELCq/gjUYjeFtcUpY+bSoY+MmnG09kZ/v5+YFIGF3Tp6aB VzTz9/ffvWcvHPfEiWz+5ubnZ+zec+zYcbvDTsuKikq0yMjICOnTYjYfPXps4+at8fGxu3bv bWhsOHDgUFNjIzi6e+8+MG3fvgO79+7H7LVn3/68/MKkxARIgIjfYGZ+fiF4WF/fwLjKyiu2 79xFpB9+oU2btuYXFMbGRAcEBJyR1U8BSDszBG9XACzbt/9QT999O5KqDa9/m6OwsAjREN7l Zg0ScbGqugYkSRk3rqGhMTk5MTVlHDYk58unp0977/116elTbTZbfn4B3pT4uLgtW3fA3w4c PJQyLhlmKI3BsH37DwQHB23bvhNMI7YwbcqkkJAQSMDcObPEVrzs7MXllZUx0VGtNhsm6J7j QYaFw+cXFPClpbnFYXdEx0SPS06C6/YUyL1doTPtzqzA2K1AF89EyrSYTEsWn1VbW2e12iLD w8NCQwH0GdOnwQ/FQgRKwBXz8vNgdxMnjs/Kym5sbEhOTuI+EumE1BT4lbDfmJgoW6t9zqyZ FZWVyYmJjU1NSxYvRLWdNWtGeHh4clKiU6Gt1+Iebvz69QQp8R0RlE7obcaM9L17D0RHR4bC soODNCXTUFNbN3nSBCfP5CauognjUwl64kt0ZCRkJS1tMsM7cvSY2WSaOTMdInKGZ44dgJ15 84BXQHhmh20WDESX27h5W3NzM+xu9qzprbZWkBEQ19ybHcwQPfPIkWMHDx8mMGDq1Cnz5szG 84ncK22czfjnpxs2geEhwcErzztXcFXsNyAJX8AfGS+uGXB+46athCbFxcace85SDWM7HLl0 rqL6tM551tm/63gOHjp6NPMYXfGu81Ys4wsIbG2x5uTlTZs6RfPQdnHyAS/SmQfOrMCor4DY Zru8JkAwcimYg+XG19fXI58BSQj5wxKj9EOLxc/PczN+hemBvfCrwMCAfqfGe0FISEVAgIq8 9f7SxsOl5G2IS2BgYCfC61VERafA7H2HZ1qeWYExX4EuzKyrrZSoAol3U77S3t2bmo4nzftu 1qHBkhLW71Q730uP/Td2681lPIN5vN+xnWlwZgVGeQWwtjz+1Iv6ovzswoI8JE9lROm4lATJ PwcWfKCFHg3PHAbR1Sn7SG8r0vuA0Q6GZxnP9HIargDsLjIy/KVX39YX5p2oqiwjRxlE5H8o aQ5HK/JhbX2jmzOQZ4hNVw7G7uF/TB9MJhi9xdrqZghVsrHFZLW29kRaohqIJrCSINaZ9uJc Rt5CsoyTkcp9IJkCCGi+NgLoe5AA8suaW1Situte8Hai5JGT8aH2MOdSp8HYbPXwSOcc3Z5A fdUTZO/dHFV0RFu7qtIAufNmjhJTjXEb73FYSNBpCFFnhjxsK4DT8ennXlZ6Zl1tFeHpWuJH O/8hM6SsojosPApwV7coXmIya784KiqrDUZLVEQIAQOAEuWClEXXbMagWlXTEBcbDX62tZuU MCxxqu22srIyf//AsNAA1E4Ze2Ag2KIvK69paGyJj4umEUjY1tZhEwKPyiuqg4NDQoJ8GZLT EwM2VtfWtVjtpNLY7aC6yqfgWe7jmKmorAmPCCeDjInYW23QFJPZQp+VVTVt7T6x0RG0YTgG AxFLCksxdFVW10dHRVI1hdFqvhkJFW7n7UaTmqOYqbgp0U4ow1Cr2JgolUljMNqsZNLozBZK udjKyqv8AwLDggOwKjMXtSxtdl9ff4xqDU3WuNioNq2uEk+pN7Uro1lZRVVoSCipc8oFRc2W 5hZ7O8VWLNU1dRHhITZrkzthGLZ9P9PRqb4CuB6wAHV4TeCCwJNWtEQxQLwmwUFBhMIXF+WV VFSePLo/LDzMbNCXV9aEhIYCTk3N9es2flBQUlBan79jR0ZdgzUmKjoowFJSkG1uzjA4Turs +e3Wk2S11DQY8L8Y9a1tjlbFFez2F1442dJC/61tOmNEaHBdbRFo4mcJpvSLvt1htzVV1zVF R4U3NDRVNzWF+OoBa8iDj64ND6rZ1z/E32RrbTJipOJ5k6FNZ29pJEHcFh0ZZm1uKMw/4R8Q UlJaVlNZAoiDZoEktpkcNbWFLday6qoKf79AXXtrc1NTi80RGR7c1toEqoSEBMLfrC2NvKyy qjY0LMxCEpujlfe2OawwYh+do76uzt5miAgNbLU2l5YVmH1zrLbiqoqWAD/fiqo6nEzkrkG/ 2tvshSUHqqsLI0KTiUfSGUxhQb6O1mbYZ1VJLj1ZLEZbS1NNXVNUZLhPm7WsvGxXbuV7x+ur ivLSkyMrqmsDgwIdkJ4z1+d1BbpFGoiSCU4CWsq3oQUAQNzbjL7VqRPbw8NzsrONZpN4Phqa m95f/0FJTZVPgKk4vzQnq6qxspnoOcS2nJPZjeV7Gqr2NdYfaaw52lJfSjIMPfuaDGazViTJ rNuW1bBlU3lAgJE8trq6MnvjJwHt60uLd5RVbGlqKfUxWCQFJzzIVFRuLapv8fNTQqGfL4I2 PhYdSpjR4uefsT/wD79pfPJZXYNVb1ID4xEHOTXhcY1xieOnph8/fiy/sBg3D1wPcdZsaQ8K MZdXln26IWPX7iwYlTwCD/P1D7NY3zS0HjRZglUAoXaf6eM2am5pO3R0U219pd5g1rg0fNpQ XVvdZN3wzjuvlFfsMJi35+afMJnMrAtMtSj/aGX+3rTkj0P8Xjt6bG2LDZauZZnqDQ1NDaEh +1vznoIq6ZiJ9hafdse6o5UflwWWNQfVNtuLSspcYyE/r5B5Zt5qBToUMyQ3UY0APtgEUENe 2MYDtTt2NZryWsNDYj/45NDhI3kU4zIZjNlFOeaQkB/e9N3IIF1OZn2UAQ+KFopg0Bts+sCd sSH7Jxs2x+jtqwLiFqEYAucf7KvevLfO1ubYc6z+ezemRkwLPZHdZDb51tdlpE+PmpQ2Jzww x6zfn5n5EcXFwEPckO/uqTbYDSfyrb/58+Gsgqa1Gytqa+yq6B7FEU4UhL/7ZPQPbklpaip/ /GmLf6AYk5lCa5s+t7y8oNWxfM0FTY31ggBgTklJ+f49R2Mio1evWppXt6yyFmyX4AlTVFjD ky+u3bn1vZBgS2dAhU9zY0tZ7qMGn7VzZ9dFRhdUl+VARzSQ8WluKU1MMIZHhD799J7ERKq4 lILniMP5metNFoPDL/LYtrCy7FnGxqMNtSd8DETnGxD2s3M2jpvY7OfYc3TzO5po0pFP2eow RBkNfmYUcovV1npGiD2Dl7ICnUVHtEAZpWppOdn80Nhs15v8EibH7s+1fXCg6pgubduePIpE A7ukYCcG6TOPbGiqyEsJdhAV1NSsPIowXLvJsiVq/KeWmLqkOEuoHwHsCgrb21872HAi19rY YJ+THBjm6/PO0ea8UpsRTDYZa6sadq5/ta5oW3tVZmPx7vyCHKPJiLr4/O66yip7e5nVUWeH Zjy3o76yxs4jqrJmU1ObJVznH92ak99YX++aKqwhm17TThXzl0mil8bGJM6dn+4b6PjvBxHB IS3xUVZiKND5/PyD/PQfRUa2Rpr3tdfvMPtifVE6p4qyKCoyHj/gW7TZJ/9lW0Njl0upzTxh 4kQ/P90vfrHcaPTX6y1KGVeyRnZ1yUdtPkcCJpybMOUcu362xTeKJUFaDgwIjQhPK80uqqyZ PGHhhQgjooizmH5+Prk6nwriK9o0Y9jADOJnwPgzuwJdxkxlxldIpOCSC9tGUU7Njv3Nx/PL j59oKi+tDPA1ADYa1Lb7t5e+8p93847W6RzWsoaWuIRIrBrwzQaHbpNvxHZLqG5aum94KLE/ snIWk75A53jvSOPzu2reOFRv8TfQC3DY0mJ47eX1DVWlrc1tNdX65ClfnTlznpheEF8P1Frz /ExTL0/alNfsF4BhVoFtW0uzfdqkvCUXZPzyzn3JyZHXfrm1017iaG/za9ctjYtPCw9vabRi cHaWAGhprXzl/fRHXprrsFVfshRLUocHF8txSW7V+LgFZr/p1WX5SL+aQajNP8ASOuNHtbG/ +HRHWkHtFbETZyq1U+GSIyI8acumtilpcf4Bfnt2t6WMm06gMTQrKOFqg2/rOPMHhqad0IKY cfOCQ8K1DBtlMfI1B1SWlrTY2ojPcDJGqKC9uSWmKf+iqJrF6YktNs2ydeY6swIIoFquSbP4 0MTHhjpIda/QkODWhpq66qLEwIYoX8fEUPvqc6ZgGvX1DyTw58D+Y/VV9c3+caVlLV/56hWJ CTF1jbbgAIyjukunxy+K9wswwS8VjNfUNQYFBzsaMDe2tTS1tTa3t1rbUwKM46PaAgKNEWHj fHwn64POtlnOMoUtSxw3ATSrrW8ior211mptabc2OprrHQ5b+8Qg07jItoAgv0Bfs7W1xZSc oJs1M3j+HL/YyKa6+sam1rDQYIO+7WT2ybyszLwTWfkFxQmx0QTmm8y+AX5mLLatzboP1iX8 4pYyLM5NTbZmqyMsJAAnkMM8LzR2sX/0MmPAJFtLfVVNfWBAkMWop96Zn78lNH5iSEwKMnlT U3OrXRca5I+6TahvUVFhU0NyYvwCs9nII0FBQREhQUZj+sHtjbFTLgkKjcD2XVdb1643YmRu tVlx0tQ1pPrHzvYPDGAstQ3NhAMTj+zX1pzi2xQfaqmqrooIC0dYCAoMFFvuGfj8fK5AV9xs fW0VMiwpGlJpD69JfX2jzmC2t1pV+XUtNIj/N7dQ6d0QHBSAYZOqdqpxmwP7TmhwINIsfg5k OsLKpdqCCGUwUhAjMMDPbm3E2OJcaKCu0dYWEBAMIyKvRfyTMCu8Dlyc6+Dva1aPuIYi6XVN tnYMrTYbzk4lPCMJK1ePMvc6AgICTUafhsZGVVxPu2gAz+SdZLE0Nzdpbh5lOWVCCJ7E0wYF BXOnsaFBsSklDKinGIPBYA4KCiC6UGLuJV5XabB2B3Nsx5jb1AxLtNlaQ4JD8Y4gzKs5+vuR v4Y/BGMPMgXyKg8i4hLN29pKfkwzjhx0TiX32lvpGZ8KVZQI4CfpXAkC6KmqDqLqIDkptrmx zs2d+/mE0c/nrBHcnnh6rb4wP7u8rLimpg7IgXNK0Dl8wGj07Um2sc0gamLSUGbSjgtHgwJc xDwtWN2d0mvlvADTrvRreY6u8NNo9mC3R1RnfTyi/H/dL60HhaQ9odk54A50RY/T6EPngJ0B iV09uj3iQk265qjm6RLo7zpHcBxKRIAV1E0L8neZo7NGm0YMsLR1LEsnXRBCYLMiwvDUqcsz z+TujBzJAK6iIiNURHtJYc7u3bv5t0UrVqsiVzXrhMcQVs2mojI/eu6NBusdBtLPrSSmwqR8 /SJQsNsdRzOzw8NDWSktlEItDuTGalOlPTvIBFq9Jluos17AYGrua7+oBqLqm4i4wsnsbhTS 2Cw83N2Qy4MmI85ejOHuF4QWgYHMdbet0R4xIrb0fISuoB0eM3Uoz3jGuzMSyAmQUPly8qTJ /3joYYWZe/fti4mO8NPyS4JCQomfEW1TwESEOoGYqsoKJFgeBv46kFM75Mi1DcIbatXns+IX erVfAHpiwNtvv4OCsHTJWUqPRRLRuHpldS2aqhISEEw6ZfsOk5veB6kb5CHRB88wojICcAsy sMns70csFIFZJlCU+zxtQwG32khaVcGPZtorYQecR8Zubmpma6i9otgvXB07s0ZJqW5qb20L DglyxTQloqN9NzX7BwQgMcHn+as9SHFgVJYmosKCggIlBa+TnKjkHoIrqP3r3PSRgNHPa5/t RqM5JDT8r3//ZwdmRkaEcU5BYHAYZkablfAYh/ITmCjYQxhnoBBtti2/sCQwICApKRnYkLWD tdZUExkXgR6FoEub8vLKlpYm0q4/h4mR4FtYROSGjVtu/MZ37rv3T5dcdAHhgawJS0H8MIai 6uq6vBwOayLuwiwmaP6GRkTPmDEjOMCI/kzllJzcPAo7pKaOy84rG5+SSCQWGunefYd8ff2m pk0EkfKKygKDwmIiAtBK9x48kJ1TMC4xacnCBaXlpRW1LePHxbc7rOjerQTuOjivyQaqFhRX RkRGhwUq9Fap5FogMXtXWl7V0NyWmhyrb7cfyzqRk1cAM4S0zp83q7quJTY2LsgfUmzDjAfz brW1+fkqj7a1VR8aZDmTZDf85KO9HZdkeEQUmOn0mmDZNxhNpuYmpR2VlVT+89Vd9/yleMPG 7Wyxlu9FFRJHKDF1Dsp5NNbX1TTU12IiOnBg347tm7KyMom5qa2pqqutweVI5YHPqSqiV/X+ jhzNhIPxBa4iXIhLzEjaX58XX3o189gxJEzQEkYn/BMZdc/efW+/93FNXctTz649eOgI2Kvp DY4Nm3bsPdD28YaKnbsPIQJrir3SSDfv2Pr4pvWNsQu/9/oDT731ksVE+JR6ERjOGRk7M45l ZRe9/sZ71FvrSE7Qt+Xl5e/es//oseO79x6oq6+lcy3mqb2isuJoVm5pucLB4tIKwowhx0Zj W36+7vGnxr382vTj2QGBocH1Wibt53Rzhx8R++qxM4uyTSlImhSq/JkOW+vubaEbPzUlRIYH mv3qGpu0iHBKb/k2NdRxQVkRfohWLy4orCgpLSksoLCAGJDQV9FDGhqbemaEjO7UxuBtyPAI oT+49ebvffc7CoJFqtBi6J2jAQOp7vf3fz5yMidX6fZaI5DwwKEjO3ftnzF9+vjxqVOnpdfV qSIsPAfu1tcr5AUh6+pAdZUwoDJvCMbKybNH6coas1rireuObTP5dBQus5jMuUXFP13/7sb8 /KbGOpFpEXBf9dfdv/6Tf/z14bLK+qNHTtyVf+ywWW9RSTymjZu2oaQQK4z5as+eXa+8+oZy w/roqqoM56+JvvLK8CNHKhrqq3LzC+vqGlwSBsdgkT8nr3RLm1LEG70xr6rqqktK/t//lRxp afnafx774IMNtTVIZUR7cmg8VUiUFZTSPls3bzLYaq+6/EI/o8/UKZP9/TuUT1DTedrR52Qd ZZrCslDSvnfrd6hORKEwmJ467ELLVulCTmKMrdb//u9J6v0R8MR9fq2qqkpMGvfjn/zklltu Oe+885qaVUFDUJqVPHlyX23tyYaG/BMndlMtSUVpEabb1Ljh4y2HH/1k/V/+nno8Ii12UquK hdCCgXXtdlvL16KTA2shqlaV+qK5izIKW32jUs9dtnTfvn2lJUVHqs0ljTqc0Nt3Zmzdtv3o 4f2lJSXrP11P2Rcc2pAY3lJbV/XJJ03vv2+jdmllZXlQcBBOI4kSO3ON6Ap0LTHBpXjANequ T4yPzKkvC/T1bagqDw6LtZEm0kH1ObLWlzwN/uXv55eUkmp1+FSVFdc1WyMiIzsUS+USlJo9 n79IM82bctef78vNzadmBM4PZezRFsKpdaOeTZs69QuXXjxxwvjwsDCJ8cAPvGzp4ojQgKNH VXnezZs2UI9TPa4S1lr0Bktx8fHi4qy6enzOKnwKZrt9x64Fi65eMHfx+Wuu+eKsa29ceUWT jRBCVemzsLCYEk+tTXVFBTm29vbiohLlldXpJ9RWxDpss+bNL8jPP3DocFpjbTgFTQ2G6ppa 6gzOmD5r8pS8+fOsx08UgpxYmHCQRUXX+Ae8bzY/ef31O3V6IwlARHS4FkkcUej8PHdu+Olt Pyop5cA83yDCSZsbNcrvY2uqaKzY6B84RR9gndRiqWqsbW1pnjJlEkyAinhajlggGlBUZFRx cXnmCdJQLMnjUgR7leXXaMTygRHoc6iQBAYG3ffAg2tffnX1yhWRUZGamUShK2egEbAOUauq LJ8wIXV8asreffsnTZyAQdTXPyA2Ls5ocMTGRr/91lsbN24YlxQ3c0Z6RVV9eBhxQm1U0o2N DU9IiIyKiuZYYpUNZ/aNiwkvKy+87rovBQVZAoPaJ01MbMZii1Gp3bF9R0ZIaFhUVGR0dBRx TivPW1ZX38xblkUFpwYHkOGycMGcpUvPujxtQrieXJ22lOS47dt25OXn19cFZGU1IftcfeUX bHbiOgi4IjGmMirKt7U1ubKyaVxSPBQZOcDPosI8Ps+YM0Jzx9zj5x9AhVfNNrt3b2REaGx8 Ym11pRYEQ4G8vSezN8Qlr8ysya7LqTO0tp1z3tIp4yegO9XVN1CaJCkxFoArLy/fuGFjdGQE tS1Xr7nQiYfsWV5BMbv4eXNsYu0MC4+88pqvz5k57UtfvCI5KQF9W5mC7AT9KNtsWVlVXm6O Oo3Qh4RvVQKCtYqOjZ88mcDABlRKQgLRKVk3ynu2+1jCQ4Obm+r8/PyVMKwRvoYGfmkJD480 6O3EexBQpFUXVCm1+DmM5gBCEUtKijqE5/b2kBBVmrSuoRmsJvdVibVKTdSE3rY2wiEs/kFh wf5V1ZX0K5EPkGn03tr6lviEOJOOMEb8MSr9iBdR8KGByvfmwKjwQDE9nLmGcwVcbLP64sKT +/btH5+aiueqqrJU9sZkxJaAvmm3UyhEaZfKFoE/Wjzm5VV145ISaIZrC/2TPGPE4IDAjlQs 7gOLhUWliD145z7DbNMZXCF7A+xqlU105MtNmjCOSvZgpqoEoSy0pPJg6jSYLP7O4EV5XEQM KrzgNnZdK34lEkudK6oMSU69QBVn0k6pcKiTZdQJpU7AUPipHsFnKklm2kOqhkJbG9IvJl27 sqp2UzHYWKIatXiGrjNsaMMjqCQtzTjQuqGfxEtERUW12wlU6nB0Dydofs76kgIXrpOGL4aE RvztwYf0RQXZx46dwHNVXFzAbvfkcmj7vkbsrarsQXMLVW0cfv7+RqOyECqfuUEl/4s7+/O2 qthV8D45Z80SE7ABQibGx1A84dDR4xhXpI6JQgi4leay17iZSzyeJv8rxO4R2Cgr3LWqWkei L3hsLz95lFMG9wjWqZ5hlfQPnEBITt3owdMEEBVRNpkITHFWyQJCCOfGAHHfA39VmHnixEnC tZPHTYiLjxMEU4CkWSYUFDkM72Qce/MlnOPB3/1x6+yk2PoGRcY54Bog4zxdSDgRKlpNLaQd M648PkQUwQq06JMWFaH22bo06dF69OiRuKhwLcRXBRuj/mH1QbCPj4tptbU8/dyrd99zr6Al eEcySkBgQE11dWNTi27aIp3FnxR1J2frWJ5ORtdZNtRl1egIJM/cprM2qQJIo3T1sXFnEHOo ewCSrVp9/mOPPkJoAL407GrAEue+z5yR9ue771WYefx4Njg4bfpMDuchx4IXksHEOULy5n8+ Xf6XiCvtIXUV//x2VOn8V/6XMEcTZXfu3Ik/8+KLL87MzCTydvny5Vg7Nm/evHDhwgkTJmCX P3jwIAclrFy5Us4I+4xdaFn79+8LDTQSMYMDiVpHJSVlfoEhqIFUKgMzn3n+1bv++CdmHRkZ CXJSt0jLC6tttrUmX/QVU0goQbRCLLUkmHZC6RBAoIWq7pHz0pirKlZIJkpLS+GHa+2NDZIS 5PFCbEaJ/byp9yMNWiQWybEgw3uBa5dedtlDf7+vqaEWss4pIcRd1ja2zpie/ue77+nETL1P 2tTpx48fT0pKAnGLiooWL17MOA7t0Z1zSX7s09e3H56U/+efNRTEf+mlf770pZ8fPXLkZE4O jXNzc8HPadOmwUNOnDgxdepU4hDOP//8p59+ml85yYtMS9gmfU6fPv2jjz46++yzGdCOHTvO PfdcHoGbl5SUVFRUREREAL6TJ0/+8MMPaVNaWlpYWHjppZc6y64P76IMvTcw8+DBAwG++p// 8tefrt/45P8eiY+PN5h8e2Lmz37285SUFBaBCcJdjRzuEhUVYm8LWbqkzdYiLlCl5FksDZnH WgqLos49h9hzCKgOu4tZ1TFS1Yd89JyYuGHzZpRFDxqHSkhQKj3rxpWRkaHEmaYm1NdTOWdl 6LswCj3Ab1ZfeOnM6TNUxcZhvVQNKl/zmpVL3n777e/98PZbbvomH4Iip6dP7YaZU9LS8/Ly CgoKYHEwz7S0NH//9o8/tnzhC2Hjrn3KGlNi2zmvetO8BX/93/Yffm/rlp0AC8j21ltvwSFP njwZExMDFmVnZ/PshRde+MQTT4Bv4N6111775JNPBgcHL1q06NChQ7Nnz87JyZk0aRIG4eTk ZIAMfKYH4OlLX/rS888/z6/8E0Tlzpo1azA2DOtqDFtnYOaRw4dqqkqef34tZp8ZM6adddYi o9m/ob7OjWd+/etfP/fc5XLkhEJOi3lyszU2NaWVCrllFSAkx/o25+UmXHN1w7HMhszjBOxg KaIMic5mwz5j9A+s2bI1ZM6s+rbWwwa9QzmTuyRJDaMRoZt27txx+PAhVg9COWyTPNORtgI3 fPuW1StXw9C6RBllNFD0FGmHm14c09qhF2jFCTqcizxIKYyzF8146qmni4qKkVK/fPUX9Qa/ adOQZu/pJhfB2ebNm5eeng4rAyWCgqLSpwaE+TpqcmJSf3lf8vf/QSDXuD1fZSQzZk7Pz89/ 4403FixYAINlZBjTcaLwReRhUPGb3/zmWWedRUAMaJaamgoeYmkEbvhp+/btYD7tt27dClON jY1FBkMSphki36xZs7hJS/o8lWGDzK0J45N+++uf/fH3d1z1xUuofOlxtEgKcvKK2kxYIeWe UcLLK/18dGZ9u287Bja9LxqEmWNdAn31PmHjxhFqE2A2REyY4G8x+VEAjRQWCuNaW8mBlU7E HABOQvuQMv70p7uefPIJJJEzaDkiAKNOZFZSjHzIpsJVQSiIr8UcHRURExUBO3X+2vMLv2oH NIuVHku4ygrSvlBU3cHGfueb1931uzvu+PkPoyJDteKQ6uqSZtOnzyLFHhGIu/A9EEla/P3P th/e2Rz7f79qLkoIeeXnr67TzZ2j7iOp0hgRDvxBIh03bhwvhuUmJiaiU8FSQG/+ApHIt5B2 dE6QGdbKEAEg+iceDYSEVPCXTrgP0tIDfSp/TG0tX0ZkoYejU6jMS69/TLkQJXZqltWmpsZZ U5PxN7rxTH699NLLLrnkEtkbysYHR8XvPZ7vgxffZqMqO7nn6nlffwzfKJkGXE34KtAsTXgT rQ6D3qgzkI05PTnGWl2JpQ3yh1zD4sMn161bB2Ucjgmd6aPXFbjhW7esXHEelk1agKGE0Cxe NLe4uBSeSUUL8O7AoaO4KfCKqWhM5XCimpRKRsDxyM5yxuSs6VOzc/JDggPxTZaWVvBMYkIc DuStOw8mJ4+jprEoHfQWEeq/bPGcP/7p7i4L0NT0GdgqPI7u0w91r2/Kj0vSXbsyKTH1zBaq FSBO4Ad3v28z+OLg45/UG9PbG75/WQKlNKGmrhYgWa+lS5d+61vfhkyaDT6ZDY4/Pf02/k3N AqT8mBh/lJ2HS9VwUbXS8EOp+mbKDIueadC1WH/4lTULYwJbWh3g5J49uz/55BOUCNfNgPyh UMBIuQmRFfm574vGGI0hCwyMR7xxUUIUkGgASEizl85qoh1wqEKgvRkSAx7UK0KYywi9whUz QZ4LV5/HoQSfrN9MpCoIpmI8mpvjY2MKi0uonsWps5yMTu4HdZ44nZkaVZT8Xrb0LDIWqNmP aXXm9Gmsw6EjxxbPn3nvf9YVt8VwToBsU7PVvmaW7zUXzv7dXXdLDdV+ruWrdbPmkdAZ6WYU xDty4sjh1CnTigoKiDhzumX66++z8DsKRkhIQH5JHWWJVMwA2NNGufdep7Zt2zbg5oorvjg9 bYqBaHWSm2GJOsIMzOTNcUy21om6RIls19l9A/1gsqqeHuWk21FmVALn+o2bN23aCE66YUVo aOg3vvENVHTUAZhzRUXlhg3rMS30sdYrVqzAIiDkmDj1vLzcp556qri4uLdHkHouuuiitLSp CYkJJFZjIMDUtGHDhj7wE3UGkjR+/ATOX8Skd+zYsQ8++MCrVyQkkLw9kFeMR9AbyCvSEhIS 5RW7du1av369l1QGOZbM+BMnc6jWA3VOTkwQx6GSnRyOSRNTM3btj4+Njo8HUUvnz5318fot ZeUVbD3yI5k6SxbNKy0r5/R0VTFLrwsNCy6v0tVyKIlWDoozNBytRPaoHTDc9pMfcmQ68BAV HcOm9twV3ofwmZdXCJlETEXydLZ5/vG7P3j2voyMPQU5OfOXLqdHQGft2rWMg66QXYnPhrQn JCQgmr744otsLQD02muvYaiYOHEi/Tz33HOsC9QX6yXParFGalwIukeOHImLi2M+DFrUqlPK GcCyfLQzl1Mb2BA1MFWDqHXpjEhqd7FzCKUHDh7duHGTc63YeJYRTxJlRYLix206clIrcdYa GRiQHBFWVlWnTl9zNaQ62ibGR1PHvr7RqrVsOyst9ZX/PfLue+9hpHXbpvNXn/+T236Clq6K GxAL4nDAPKdNmz5nzmxwmMV3a88u/Oz2n4GWZGNDv7XaTj5o+0uXLoHzsPI9wQA15LbbbgPN yHwgb57pEp0yd+489CXwzSNY41G76aabeJDxIAriQ8f2Pm3a1Kys4z2HxBtp+ZOf/GSwr2hz fQVeBo+viI6OlleASy6zmNvHLBjYrLkLCJITgQJQTB2XjLB6MjefRUtKSuA+OUPTp6UhqRIX vT1jN0fskKsA50xJTsrKPkmzqWmTCEFBkUHTOXgoMzUluaBQha9u35dTYzVD3AXwSQpKS/ab OSVh/YbN/WMmJlYQCTUSbEHgERILdX/qkV835q77wYX6je+91qiPWH7R1XQN1mETAoFBSzaM R9gMIAn35he+8AW6Ag8BIEaBHRhVEwq6atUqfmVr33zzTaYNDaP/V199lZuIWLAa/r7yyitz 57J87rW5xpD5sh8fZ+R1YSZyZ3tfmClDxR5WXlaavnjZlkzqP2MzcsxITUiICiuqqtWCH7vS ZX0txrkTU/1MhvyyaiWMONoWTxt/YNNHldU1brNGOf/e978X4B9A2qczEovhgW/EyuK72rp1 i1uEFkbvNReuqayg+oSzNgWZ8ZSkMKSnTy8uLiksLHB9C6/46U9/CvUsL6dmNTF+WqFD7cJP BrHuicxs6403foMQa2RvwVvGAJ2l/iCP9MQcXgHmAxu9vMLU8xW4ynt7Bfjf8xXI7cxCXkHU o9ssMIt4JElumMlcSJ2dPGm8ErmDAxHs4X5aCDSntuOTDI0IC8Fogm5J1kdJWXlpeQVIRwID uzMjPS0pKVFLbC6PiYqkFNvWPSdthlAy7iTlFWdZWlIHZvYfTcK6A08YABFCwMxKsvTKyw8f yqwuzvniuRPW7qv6yvkh4ZaaxhblH2cbsMSCcrweso1whUUH6gUqsvTcZ9BwTuYjJlz45Lvv vssd2CweVLyjYK92fJj/zJkz9+/fD1aDq3hZ6HAM8XB4X63gFAJss8WEh6XERFGIJC0pRgUL EQtLlV5Vr92Rlhgb5GtMiA6LiwzVkbCi2Zk8XvilIJc12iK7NWDjWPMLLrjA9T4mOhxUCjqF 27tcYB07gsjq5qxasXz5pMmTkK3c2gOmIBtYjj3ftR8EyyuuuAKTGFTV7RH6RxT64he/6DZU IlUmT5nc+yvW9HzFF7/Y6yvg5z1fwSz6eMUFF/CK6f1uNMQLZPvw440ojWUVlTsy9hw5mkVm 1ZFjJ3btO7h+09bi0nI+O3fvO3Y8+0hmFm4veOanGzYXF5dt27H79bfe33fg8JHM41R22bX3 gKJZPXZNxtA/ZrK44Mnq1asRSllxEI9tSxk/YXxaWmVD4z/fm9tgdUSHtll8lZSL6vL6669j MKQlRAUcgyojpcA5H3vsMWQ5+vn0008PHDiwZMkSKO6UKVN+8IMfYJ4FtrZs2YIxli88DhqD k9B7dhEiBynqd8lOlwZsBKzf4muelBSzaNI4dYhoizUlKnzhlJSIQN8AizEkwLxgSuKkuChV sqTdZ05q/JRxMQbcJlppArdpQjchf1j5PE5fwmiXLFmKFONsIGROzOY9n2JTkI8gi64/TUtP b2xQRvueF5wQ6Lr44ktcY0LGjx8Pb1SZpZ5eAb1AWSWexLU3EK/PV7S7vQKoCA4OHdAr+ptF +yWXXOxNZAvICVJw3pw6W1GlHDiYETTFaDDiHkONZF7oFFU1tc50eQQiCheikcK6tBwdPUE/ HuuwOtekf8yEoYGN8DowDVSRJ/2pYtBmeXdrfrCl+JPjAb4RM8zaLtPgsssuQ5JhoUFCvkCw 8U9ycZ/APXAM9YOLJQCqoKxsHvQSCeeaa66BbXKBqxA8/kkzOuEpohROF8Trd5wcDzgxKf7B H974i+u+cOmyBSvmz1yzZP7qRbO/femqP9587f23Xn/3TdfefPmaVYtmr1k8f/mCmZees/Bn 113+4I++MX1SSkNLl7NbXiRuJzkwyuOrgRsIK55S568Qzb6tHSAbe+5sb/H1TUhMlOrbvbzC Dj11FZjHpaTgQujtLdwHllTp8M4L5Ra63+crSHDp9gpE635fgWjm+gqEhb5fERkZ5aUdiKXQ Snx0XaJqIZTKF9XAxV4q7SSfQfuqKodoZLZXm2H/eiZvAjnDwsLAT7HIqxfrdHEps1JnXH75 5ZfOOPcH0xddQv6R/AR5dkqeEk4kwwI+hITQwBlJK5ut5Sv6SANx1slN+hFi3xtM9IsGI9dg cHom4+G4lS0FNRv3Hlq3LePjHbs/2r57/c69n2zf8/H23Z/s3PPpjr2f7tzz0bbdn+zYwxca fLpzL//ckLH3vY1byrMOUePddVIs16pVq1krN03S2QZQQ786dizTaRGFZxK8hSzT26pyn5XH 6NqB/Lxi5aq+X8EuZ2Udc8Y5YN6jGmDfr2CvkZKc9AUizob3MYtBvAJccL5CW6j+X3HsWFZZ Wakb2Myev3B86niVUzWsFzb5kmqOZw1poYDLIPTM3oCb3In4+Ch/P/+kxGhy36UZIQcE6KEZ EoiHYRYzz8jhxmnaM6hVueXd4g9fLP3oJT5l/F2nvqgPX9atdf1n2bqX5FPywYsVG95q6ywm OqC5a97vAeXodRUZ9vJF6pDvgRgCNLbZQeUH8ooBpEbwCicj8f4VUqrX7aKQEj6SEbg4wVGd m+5xeP3zzN5mhc0GxCO6lV1HNBV+iALJhS2X+wjfyMDoA9isnnnmGcRrhC5stphnCcRDtODx l19+Ga2Vx5999lkeQWV65513EM9oTEw8XzAg4ZQTK25WVhbcm5Ys+piHBw2aZ/ZcT8SGTimn t23qFbQAl9Wrz++DoWnSh2nHju0QTekFnb9vhgaacYopXlMnQxvoK2DLaKp98ExegR2h+yvg /L3yTEYC5hPUWVLS4W715hXMYuPGjlnwRhIt+n0FC9XT3Zp9IjezoGzX/kM79uzfuffAcH22 ZuwqLLcmjp/RqKpJDNw22xtQgH7wdhBPrK/SDAgjFBYfmsTcifMTm9BVV10FLmF6xTANSrOs oBk4/J3vqOqP+EjQJxFc8ZGArvSGOoq3jUQzODD+EuLm0RmQZ8BbInvJO/OSCp7KzZDeUbBv vPHG237603vuueePf/rT73//h6997WtXX321MzTyVB7/52dsCfERqZH+Po3lppaq4fw0V/q0 YlfzbOvxKgbI4x6Ae7iMYIB4qPGjwA/FGoE7BI3UVbZRIWlms1i9QDC+wB5pIEI7/0QvF8GD v9Ba2ouLDI8wKSnCjfkrIplo3qc1WGB5XrlyFdbpuLhYYgO0ExY6nCJxcfHM9Jxzzj2WmfnO u+9A47yJmDutV+PUH/y8efPPXnYO9qHhzTTmUNnNB2sLewmi7N8229vCIazCMIXXEVrBhahJ Y8mEEDOUPItbm7AvcIw2gpb4RbHW8vjDDz+MAxOzLSEKhCXMmTOHycMw0VThk2AsHheU+HPO OQcZA/zH1L5p06YxF2WHAkzY7u/45R14FCFS+MSIwGSa4rXnYlUhbSzd7DlzbvvJbV//2tex vQ3ldWeeHfoKaGK5z6xZs6dNSx/Gz4wZM2NjIM2ePdWDx0wJ0WTQ2K+d5mkEUbKoQSfwDUSS 8mqolF/96ldJlcY1Ahsk6+LLX/4yAht4SO4iN+EhX/nKV/CR0Hj+/Pl0CNLef//9aES0JxwU /xh+FKKIeCnJZcuWLRv6co9JD1AW0BLqi+4tXniP3B9FGhTFMnDu8hWEuQzUkjEmU/tMv5QM PuW0BNqH8aI/4uN7E/8Gj5mSKYYDEw4m7BF4wpxDIQJ8kuAbF9Z52TD4qjO2Dq4ovhCe4osA J8DnGpHLT4i7XNKGBqrakOZNce3q9IKGs5ctu/mmm7GKSc2kfgfPetbX12GtufXWW88gZ7/L 9RlrMHjM7LkQQBv50PBMDDxEGsASYZ7SDCcK0ixKKVYfpFO+iNLIX0S4z9iaepwOwUzXXXsd USDaIZYDmDFRI8hR11133QCeOdP09F+B4cRMWQ2Mq9hOubDZyh1oPwi5fuPGjz/5ZMu2bRiy JU6dn95//31qkWDQ5wvSL3f4i6THFzJ6aIPwwK/opRhpESfQUU/TNb/++usR/lVM3MAPk0bz XLToLILsTtO5nxn2IFZgmDETJMRjCX/A2IOPRKxBcMWQ4OAka3tUWHhiC4fnKv8H4hnZfQio qJo04DsJJeAzrk6KmOC5ImsM2y8Yi6cEtOQnrESE1ErVhdPrQoKYNXsO9MUbIbbn1KS0FyEs 3kR1nl4rc2a0va3AMGMmr0E5BM3I4QLfYHHwQMXo9Ppd4YEGP9+dYQEWNM6OIEP1dmxTMEbi ufBbYpKFT/IsyiQ2SZ4FyWmD2ZZmUoXkdMRMVfKzlwhyL0GTZWH6qanjvWx/ptnpvgLDjJnw BAQ2ggFwS4Ki4BWqJiClAmhVWdW2ICJ5NcwEx0BF8A2HCm4S7LegIq5RWmI3kuQSWISE3eIg pSuxEp12thDEh9mzZnlZaKM3eIJtsp7Tp3dLtjrdge/M+PtYgWHGTN4EToJd4A9GRXkxkhgW oMqDB/fs2lV98OC+/ftJqha5joApgmDIVMA7ImwT3yZ3SEQiGoZ/Igci7tIn2E7GyQ033EB8 9um1o0RfkITnZRJDH1ODbeIBE6fxmeszvwLDj5k4J+GTXK4oRN4mDknw8MKLLuILublu6SbO hXZqYh6/DE5PG9tdnDRxEmdJEFY+xGEwd7xqHotoDLHnM4+fgisw/JjpcZLwT7giUQSUbCKg h5RL4Ky6uiYvL7+0rORk9slH//dqVhaHOHSUsZBSbr2tFwIzXkHaDJ0RjcKWGMhUVIlsQ32V CLTOUy2G2t2Z50/tFRglzETLwnGCrZUCIuId4TqRtacy+7mvXnft1++6+YWPNv30tru4iW0W eyx/sc0SNM+DPIWBlyon4CqPU/cEdyhR8jSg/NepvbxqdMPF59HJIyOjiY469ad8ZoRDX4FR wkyQCm8keesIsZJlQ6CBr1nf2FhuDW/ck5cRnVz41/vuEDgmARf+QBQe5h/wGScKzpL//ve/ RMxSfRBnDDFGcA85yWPoS3Ba9aAKDJ9WAz4z2EGuwChhphhjOTIMrCOAm9y86hrqoLQF+Prb A+sXfHlSXDDH9aikVW7iMsHjAjITcsAFJuMjRQymE+LgwUm64m/P6k+DXIMzj51ZgVNvBUYJ M5k4Dg9srbhGMBGp2iXhobW1DQUl9UV7Gysz9+/bW/PAX5+gGViHwIa1lqRqKdiFYRY/CiYl 0BKjLkW9VNXWtjb8KPDhU29Jx2xEHkthaKPplc32/kivs+j5yOi8og/xaPhmMWZ71/PFo4SZ 2Po5BYwgAYLgpQY0V0j4uDa/sx74zf1fS7vbWt0yd95kbmpnkPlLGgrSLF/IU8FfAkKCnN/6 1rdgnliSyKLCT0jQ/Cm0lmM9FGT7npc2qF6tT70/0utkxuoVfZjQhm8WY72FLu8ffOb0QCcB vkmlWWfSycxZs/jA/VqaW378ze9LhySvSIU+TD6E/sBgwUCPRhRC5wc6hs9we1QALGdcrgUs EUAgYWRp95w4uwChfPDBByUdVBpgZCKo48c//rHHBR/oK4gpoYxjb6+Q+hpuF6+grMx7773n Ngs8bWQCe2AsvbwCSKMWu7OytuuDA33FWMHMKPFMmZ5Hgw2YWVdf5zZ/av/AJxFfEYD/85// OB/HWYKKyulXbiWnJGGFmyixp2P43tC3H+ziIPra2prS0hLnh3+CGx5xQJaLOnHlFI3vfISk Wj69Daa3V7DgHl8Bl/P4CozzGiR4wExewRZ7nIVHYsEr6MrjLHqzDvYxi+Gyog99N+lhVDGz txG7rQhpYtQHIvqH+ATMsL/61a8wzPIsTpR///vfVO7CSEtoLsnZhw8fBieJd//zn/+MQei+ ++4ji4UGw7I0Zzo5swJjuAJjj5kSaovchTlH2B0iGRIsYhU6JwG0VDb4+OOPuQ8SomrKGURQ Vm5iCsKxySWHUpCAJpX4xnBBz7z6zAoMywqMnp7Zx3BFBBXxgxgX5A2+g36knqAwgLpOyQRF CNyDl2Lp5UAUzLMwTIKKyAXFz0nkGv90rY0wLGt0WnTCGs6ePSciItL1XCaWi0ItUvPF7ULO xCF83XXXuzqfWGfUMFn/no8M1yt4b5+vmA1R9n4WeMh7zqLvV5CJThF6t1fgEfC4UGO1+2PP M6WIuJzRwAUeUiiIypdkTiOykjZNDJCcmSPVcSilQ2MsQxiK8HmStYhzhX9y//e//z3lFDAd jdVqenzv6Ggvch4JNIsiSc6Lf0K8PFaNYDEhYRIs6WzPd45y623A9INpfeivIDazN8wcw1cA RadUeY2xx8ye0ExayaOPPgr3Q6al0Dt6JnknNKPq0KqVy2EC8ghVISnqRfoYwAe44COltFdC fNyaCzyYIkcEV935imfnBPsNCUcWGJaLkx5d5wIWcfIxPWP6BtPceJ2E2mrHUnQdcEgz7vCI swhTjw793FLtnK+gt95e4cqC5KV9v8LXt1uNdlkcnvLyFd7MwtXAqy3UwF4xIjDjdadenQbv dW/9NCSFmsgB1y0U7REu56wYJF2w/QTHIs0S0AddFwH1/n9/mFtY47Ar2Yxq9q4v4+BBm01V BwQECV+blBJx+83nD9ewPfbDYU+/+tem8toWjiXlNCyKf7fUV/7yhmk9T4MHHBCfeuMSAxok S3fo0EHXk225s3AhXK7X433onzZHjhx2ihLIGhwC3YfkxlC1EOV9Mjb1Chipz4BekTh+/MQB vQJezd71EW7pPovExPET+nlFQ0M9Wfgds/DxWaB49QBe4dyaL37pypUrVy89e5nTvTSgXeut sZ/F+NbGk3vz7PU1tUJwOQ3+C0vCrr9swW//cPcpipmkU9955534MzHncDTYL3/5S8a94ILf HzhWFBri72cx5Z0sbbNzzmSbOlO9xRYWE5A+LTzAjyp77VabfUZawh3fv9jWOjy1vzDNg/Zt 7T6TJnXESDAYDTM3lla3NDc2+Rh8WlvbfByNTswEP9dvygiPipFzDTj5tBeY6y8IVh2v2HFK vCJYunZfsy+nwfHFud9NnC3fecG1O3/oaqC0R5LODZLyordRXsGmTtGVxtoJjt2GocoF6/W+ ajE7qGRLs5V8d/mnR1lXXmHQmLaY9PqNnQTKhTPLMPoN5+p4hTb3gb5CRt7vK5g455pwxJjL 6qojXqKio/fs3nX+BWs6yasKOho6cp5+mEk2idSnFSsF//zlL3/xox/9+Ks/+G9kOAeo6AtL aqpqGk/mVcRGhxw+VjQxNfbmr8xZvihx35GyVjtFqDkJtq2+geq9Q1891QMMOT4qMDig7dzl q5xbIjyzpKqJMAne09aub7PV/d/Xpjc11sXGRONZ3J5xcOk5K4W3u7m8BV1Jtux3fDAKdT6l d4H7QtE1T29/CK8hGO051RGPoOswtCzQNrV02jlz4nbUBiDHy6nnuOHmT+YuQxUvpcKcDoRX Ikxrqwf7k+sbEV+Rm7yZI4IJR2l705L+ZTxu4+xtwbXFUATFjUhps1ezefmltRdedLG2wmq5 NPozVPA61TETmkTAOhZXibHCGoRiid2VcFlURyLakWkRwOCiN/zosaZm27RJcbmFlYXF1Qmx YVZbq6/FHBjgNyUlYO60qJXXP25V9ZO1bEh7qw7lqt2uM7uSwH5xwVODRtvll02787uL5i1c 7twO4ZnldbaGugZEEYUOrQ2/+OpUkWYbG+q27ty/YNFSTQ5X2+7sF1viwYOH0NxSU8c5TQ5O 1JP+5SRiQHbf3r1tnBg/a06/4AggYjOrr6udNHkK6NnJ7joWw3m0sXxhPLk5J/NycxeetYQB ytuZghzxKIwRwrErI8PP31ffrjeajCEhofn5BRMnTSotKUlITGJrnEBPYyaye9dOzukUYhoU HFxUWJCYlIyx4Oyzl/VxAAQ8avu2nRMmjsc9xhsVlrZbmls00uByMUDOGti949PIqGhE8X5P lGAWJ44fpzdO8uy3MeM/eGA/aDl33jwwv/vS4Rcg5Nvw5huvr7nwIhfMdKe2gwCsvjHzlLAA SX09uZghijsGemAadyUQ6ZohbTL65BZUvv7u3j0H8mBHnPlrNhk27zxeXllvMhp8LcZgv/Kk qJq40Ipli+PSJ+pnzkhCOgnwN5sNPkY+Rh9/P7Ofr4m/iHe09/NT3zny02w0ICTzvedH52+2 cDqoJz7EqSRCOx0aa+t3e2iMfyjz6GE4SS9iocIT6Qk4UNEtlRUaE+uHQsOdjh45VFdb49CO eew5EunWOcZASGBIiGY06mirjlql5Kb2KL2RFUTRmMmT02rrakrLSlFT586dV5Cffywr6/Dh Q64nfEAUiCLCfDNx4iTCdzCncwjXzJmzoSlZnWVlPK4MD3IofXZ2Fi01rmssKKr+8KVfb33p 8t1vfHEXn9e/xJftr1y5/81L33n2x1u27cXl3e8iq+1wOA4d3E85N282hWEEQUtCgl3Xrb/1 9hzQ5s3YvGwz9pjJ2hG5TjwtVFPO8CDUE1gkrYQQH47cge5eddWVClz0upAg/407shpbbA1N 1kOZhWiS7316qKyyft+hfLu9DU71natmvvDw73/w1eVpEbk/Ps9/1tQoJFuq1K86N/3H31m9 culUzgq0mAwOu2Pe7JT4mFDwGX01ISZ00bzxUZHBYJqXC6c1U1CsZJ22diX4dY84475iQN0v gACiAwja7a3OXzoPI+5qChPmAryAdUycMJOeXfW4owPV6jmzXSuB6Xq59i89wwQa6uujIqPk TGG5XMcLXAYGBoFmOSezsf00NjSA8J988ql/QCCKGM4tIRxyAdBAdlV1VW5eDky3sanB3mqn sdniJ5XW+hg8JwiYTGaILyvjY/Df8fFD18757/cu3z0hIjPa78TMxCMpEVlfOWdnuF/+reet jQvMdujMIof3fTFB/4Cgujp1+l1/bdX40dVjYmK7DZXntLXSJsjmDgQuhqPt4M/PHMTbCZ52 njztfBwkRDV3DdzBfos99s033wQCMBL+4Q9/+NKXFGbe/Y93t+zMKswpb9PrOGy0IKfseGZh XX1zfUV9m7350jUzH395x/KF4yeOXxIYnJS9/79GQ+RHx8yVVfW84uyFk978YF90VHBKYsT8 2SmTUmMWzhkP85w6MS4+LiwkyG98clRFVX1FlRJN3abGUV3pkyKXzo2PT0xxklLQ5pOM3ObW dmsL1hElzfq0t549KxJmSMU/u82aV1ASFBrGP60tCEo2EJI4J2RgJMPEpCSLWckFrpf6kUs1 pKmVMzTsdgdfOXfbYvHt+NXtmc5/0jMmF458N6nSaDSWvuhG+z99yl/tn9qvrTQ0miyNjU3a 0LRfVGubVQVkWZutLUpPUzZwdYhbeAR7EgP4pqSOp/+oqOjO9upBsAtag9BgtvgG+gdERUaH R0RxXx1CFREJTHsctRqzzRoQGIBsrKXv8lJd/tEXV886XlNren7D+CB/3YZDsXtORJXW+r+z PekrXyg4tv/I7pOTZkxPa2ho7GUl1CzomR338w/EmwQVcq5Gz0ekMXuEHA6NbWxq6lwMbTW0 BWEjEJdOZp9AkncyVU0pGKqqiQB4LK+mpLaNBe95fuYpapuF/3AOJ2ds4jXBFCRn/q3fdqyq tjnAz8KSsGhOQQWijvUl0Lft/Osf/s13F3/7a7du3PJW2Sf379df+r/3ss2GdnjmDVcufvnt XTOnJU6dFBcbFVJT11xeUcdnQmpMckL4/iMF4aEBm3ZkHT1RYjIZhN058ZP9uvqitNu/SfU+ dz2zpKoZCxBEFcuT3tF4R6fXRNlmN++Kjk8G5lDrFNHVtUMAwkKDzKhSDkdpWWVdfaOPelXH Jd86aXM7LUMhGL4WzMKFJeWNTVZ66dbUhX6E0zg4EA8hFp2CwtJGThfXenYVaqVn+qAxRyWa TWZQo6ikoqm50YUYKYMHc9fk3naT2UTjsJBA1r++obmqpqGuvsFitkCVeno10RjDwxhGEFoG A6ioIlqkAZ7cU82jb14RqRJ1A2gA9BeXVja32HQ+gYfW/+pXV31SXW9+4NXJ6Sm1+0+Ebs8M jwmzRgZb/377nrfe193/9qW/+MVtzSCxp4tRMZfIiJCgQH/oWVNzS0FRGVJSL+J9OyWaosJV Y8bc0NhcVFyG4Zr5O5cOSw9IHhERnrFjq9hmxRzGxxVCBsGleOQ00DN7Tuxvf/sbiT/f//73 OSNMXCZcS+enLp4ZmZZsGhfVetGK9MtWz5LPpSunz5gciTTLYtVUlR4+fOTYzv+MSz+v2Opv 1w4n1Gx07bd8bXlcTOi7Hx+sqm48kVPW2GwblxyJNIeOWt/YUlndEBzsNzE1OjUpMjkhwjux VgyVqn/lpO2RP6F+VqKXAgxAPDkxNjkpMSQkuKmxITE+OjDAvx2jC5igNeuweyKy63VhocHJ CbHJiUm+vv445ZITYgL8oUdAg+pN66/DaMjbI6Tn5CR1eCmNE2P8cXhA1DuaaGbWzmFEhAUn JcYlJybD+mAK45JieQVqrPQncqI05hMWHJAQG6Ud6WlstbbERoVhb8NG0jUSGY80DglMiItO SIijB2lssXCGNHJ4Vxvn+KMjQpMT48YlJ2MFcLTakuKj0eQV6VFmbl1YoI1PXqn/7Ak1588t XTS1EizVYcn20eH7SYiNNJuNHsfAq2Oiw+g5ZVyysn3bbUkJMWCdc0augwGH46LDkhJjx41L Zgd9dG005lR7WTrndmgLrhE1jW4iHA2jZCt9ahDUcTlxYez1zJ5oSYT6XXfdRT4etWeJ1CN3 5He/+x3NTp7MefqZ5958+72sE7nU5iJqj7JAxMpu2LDh3nvvB/ssfoHbjjQ9vvbpzIrQ4rCl VZW1PkY1QYw6r7y7++lXtr/3ycHyyroX3tixdfeJT7YcfemtXc+/tuM/z27cuD3rnY8PHDpa VFpeV1xaW1Jeh4DqBSFshzWhZLJ1ams7TerC/DT9U20kRIFtDg4KQOlCVHzhhRcIFeALXE5Q TGujPnIBoMGBAcEhYZB8qpDBelDDIOxONsUXgRsNnlAv6TkMTYGe66VxMDH9qmc3qw8jDAoM DAkJq6mtW7t2LbYoTG7aMGCSqLVdwxCeoBqHhldVVb/00ktoHEA6A5NhdIGS9g2E4aVhYeFY dOhZGsOLnI01L5HmKXI4UAJ5KUYFbEUvvfQy8mR7u4PGWNHU/BGPfHQ//tKxH38x6+oV+T+/ 5ugPL8+66eJsnZ8up9iIoxRzYaC/X0/TDnfQgUODgrBW5OTkvfba64jm+IQC/H2BDbfdlMYh wTQOP3Eim1pTqANgIHZ+LQGrY1NckVAKMGkLr+iXF+DRfxPMhhZfM2TdAs3DmKk8PZ1g0P/T I9yCiQJVIJhU/eFthMsSgoecQ2AQv5IOhlgroyC4kTZyXDxBQkAAa0qKSWJSokbLfbbub3z6 3crXtoTe9ONntmcchy6iJfIh/KCsop6/rG1dg7WxkS12tNjsDU02FT9EG3tbs7UVtQteim/G rj0lH50Ng5FyKfRcCX7gFZBYjS2z/V1txK3vRCFgF90F5CHplBqfVZWVIL+Al7RxgjvdIGUB r2vXvkiIKXUbiLjgLW7I0FGqSw8bUTmN9Ey4IroQaK+8OC49azisCAQfsALV/aWX1qIjEMyI EVUa00YJ3l3DUB3AbdgWyr6sXLkS3Zh1dw7DiWnyhXmzX+TlgcNr1lwQGxdXW1ennLHaoAUh nRdMCWUb2y8n2VxyycXosHV19ZrYb9UHLnz54xDFtQzMi3RbXTsHU7Xpmht1TzxlfOqD5NBQ PzRAWbqelxqGyYh356233uS8VezP2K7EsempsZ4Jklr47rvvYHRUEkeTSiIXNO7cFHlO/FjO a9hQgl2HONJvKxSnvZ2pOaFs7C1AzBtYwcwgtEhOIuLEIZCT0CqC13HTYQpCuAVASShB87z6 6quhi1S4BBqYGKhbUlwcERm9bW9hYKApIszX39cYEenPLoYE+YYEq09o58f1u/Nmzy/ylHws fqZZU6PnTotOcLMA7cpvbHE0NzUDeSpExmFbNju6tdWKBYi/BUWlMXGIo+g7eGUsEeFh0JHE xCRGi7UZymI0W7Ab8xMeCOaOgVo7MZQFsERHIk47kpPGUWMl+2Q2dJ3yZdAOrTfVni9AlbL2 +PpGhIXg101MSKQxYkV4RJiPAd+9aiyHjkKM5f/cCQ8LBQgITB8/YTwULTyMFAJUwY6e1bu1 y2xSPYeHw+RbU8ePT0hILChQu4B4QDAUDRiodC1vUY1DQ1D+GUN0VAyNsRJBzaAF0ljaq55V CLFqjETAUrC/IFJsbJzd0W6325InLNy6r2HppN2F5fpv/Tnu8Q+jnv0omM+TH0auOzg1MXni FZdfMmfObJRSOJgshevFmiBcYNZKT5+OuVj5ySOjrCjfjjYGALS4XCa2Ca0Y8xV1cFB5KX3M 4R3INyChrLPWf8eWlBQX4kcVyjVcF1L2sdyaiiZDU2OTUvXbiZBxTEv2n5mWsH7D5lPRAsSC QsPAWKQdmCS185544okVK1bgR6G8JZqnOFdgpPBPcjj5TnKmCSrrQ00DFRg2jCuoxB5AymxE ET13xWq3SIPc4lq4qmJ3UPm25l9cP7WpSUUaWFuaXn3zg48+/tSZksaQpkyerM60r6gQKHFS cf4JY9y7Z49EwNHSgVnW4eCf/DXBBaglLUxQLhUtaOO+2CrgR6FhoRCsw4cO8Rjw5IwBUE7W tnYwAZurUH2IPwx58qRJBYUF5WXl/gEBNHB2rORSNG+DD0ZJUX7trTac9Xxh8bGra4xdNe8U JpW3mfFrjfEitgUHB7FlHNxGgy7ZTPiOiqZS/mrVXpsnqwaBoMQBzBYkYLB2uyHAcOyeb2b/ 9N8TSuqTK8rywXbR9NocLSAwx3UjHCmLYHckUcZYPz/SG3iRiCBIPSyUFkTlLsqqFXY4IExq kNoasj6TJ09RGU4Fhc44eC10sZ2lvuKKK3DnXvOV66TzoWMmZApJB2Hl1Y+OHSoz1FVVMUUY MybnLy6NuP7yUzhuFqz76U9/ypoCIj//+c+RptS+2u1sIYSt59KQn1lVUWIxtTdbEVzdI0iG spSKgpp9sDiUVNQt746Zd/5rY1FZA3Z2JS5qmHn7tVOaNcxstbU8+r9nE5JSli8/lykw8uuv uxb5TSvMc+Wvf/Ob+jqtAr22y4BCUVHBQ/986I9/vAvdjxCAu+++59lnn+Un5Pnnn38e0qAF G3Sh5s9+9rPbf/ZzAqe4D/DdcvNNJOUAQ3/5y1/PPXe5SkDXGoMugOBvf/v/Vq5azRpq3qmg xx579KF//hMgu+iii//4pz8hCTv7JdfjmaeehInROS4NRvLgg39/9D//AdtByxfXvoRoI7ZW GQtqNuP4wQ9/nJSUiLwD9n79azeAIQhBd/3xT5yRgZ7SSUx09PDv/zwCQfnGN26sr29gUtRb Y9jg9vLly//ylwdo7OsX9NYrj+TnHjlwwufqL1344Yfr7rnnHubFSCg6c//999MbwsWLL74A A3dN2gLOaYCfhthdt+3uiUkMFUCKiIoG5VgrcnVuvvmmPXt20yE1bv718COuBWu0BIy23/6/ 3/3twYc0gtWhegwOqDRQ0R3Ytxf2s3TJWbuOt+zJa22oqRWBEev31cujJaL9lMic7jlJ6ut9 73vfg/RCBUm8lAaQc49o6XxcSWVmY4BfV8bT4JbP7SlgsbfMve7+Z/e48OSkpPRpaeADaACf h0jTc2pqyrSpijw734L2X1xcSKzF9OkzgGkkK2emG/BHRU+Js+3CS70O28zkSRPgToqp4ucx +EhiR1ralKlTJzsBi/2WcDmS46anTwX0eUtUJD5GNVRskgzPdSQgXmRkBLWA09OntjQ3MZKJ E1TOHRDJu2gMdrl6QYwmE0LjxIlwvlTehYMOfJNjL9KmTJqaNtmJmdyhZUw0llIToiYvBYGh O1T65ieiL7nJg0zkq9/8+e7d+1bbm6ZNS//00/VAAuSMkaAVywrwncasp+um0K0K4lFBFP2D tLLf6PXAUvq0qZi+QfW4uNidOxU/R/Rgmq7Uig4Jd4GfS9TBECFKRbYdADF3AQwfffDh8i/c gsNY5Spp2r7ItHIN9U1DHGhvjxM6yyHN/KUg0M033ywHVAPibCQqKCZZueO8iotLxAAD3ACj fKeBcvAPx0WfgxFh9LpWux3pWlPrfW666SbQDNsPCjMGD2Ru56dV2aVUJLoMFvsWRmmUH4CP p9hLzSnvciEVtDNBOz3QP18WL14CoKN+o7m5dS5pLtqyqDfio0dyhtmiENK+Z2OoGyCiBRy0 1tbWXXDBGtgIyMBIfH2V9cV15DRTI7GpkaDdoY5+4xvfAHsZP6F8PTq3iRFIZgK2s7Pk1k6Y MIHT30AGbqL1YcReumTBhRdexB0RmriP2oI6Q4Y3tAOQgIUCDN3XxDrQ6vVY77QeWnkpJVTh AajfZAI3YQB02R1lDUaIHSZAhyRWVJQtWrgQEaawsAApw2gwKVFWDL8uFsRTETOfe+65f/3r XxdeeOEXvvCFyy+/nBqH//d//8e4EVmp/bN37152C4UTLCXwHRGRaKGHHnpI0pOUSsa51wWF bCranDAH/mq5vH4SsaDdUS2dJBDoHxb9obftA7VAAyqPvfXWW1RdEP7m8WJIjBxGQcsdO3Zw KqFErjkvF7LdQV3p7de//jVms7///e+uSmb3/jsaA9CIjhwbw6pCJvoYCY/zauAVcyvUEMmT xp3qpYex8xMjZyQ7d+585JFHYER9h5KzJueddx4eL7YSe7XzfFE4IXN05YeavbQdHMaHhEH+ hz/8oTK5dZzDqhZGNRgC5vBqijl8+umnuOI4F2uIJ532NxB4r97a2pqVdbygIE9LxFH6rIqp RKtHU+ikAWOPmSwr0hd2Vy7J7iVclqpcoAqGO3YXPiBHoXChSICKKAlADLIujIKz4gEgQJlY TQw1Gzdtf2HtG/9+9KmH//PEm29/ICdngZDHso6/+tpbWcePi0EPLC0uLoXMo+Npal6xSH3e yEL9Lb3n3xkk02E8fZe0AHNYBMzRyHuAI7wC1oGNhFmTd84SQZU04wfLo5wcToIiVXl7Wjtk NBhgpbG0gRuDOW5yR9e4XYxNjJblIjav10QtzafQSe8UcjIS9rTfDA/BfBkJOO9KGTs8FR0j 14MqTJxSpjiEaIZMgdwLDMiasFw0GCJhZSTIBbDiXtdkcLvu6SkYI7JGQUF+XV2t0BfmC7pq 5reuvKhTAjPRYcQBIIgEBCtjncWC1Mo/NQddh+rIFpIddu2114K66DCALPuKVsazkGwB1OCw 8Hnz5xcWlQaHRGBV1Rimcf+BQ3HxsSdz8kDRDRs379iZkXksC0P5+++v27f/wDPPr92778Bb b7+H03nkkBPg7gNexQYAa8XiRcrbY489RnwF5XbxUlJM+X//+x83OYWJAsccxK1wTQXrdDjZ mCOd94aWGmZ2Xfyz75FoDr0uJkS3/eRPuvjx+x2JE1YZEEZZCJDE+vW8pCUggfj63e9+l4AT ipvefffdSNe4ee+9997HH3/8ySefhIUii0JvhyhwiqQ9fAjYV09YpbVYK60Eh8b/u1u81bNj j5kMAiQEwdBPxC6PCIfED1pCFJHo2DzKGqixatxVanXzCIoHKtOll16K42TV6lVYovEfJCbG 4xJAo4P4JSTEEk4OBOAYgPDPmz1rQmrKgQOcf30EREU/O3b8BIgKTs6cnn4yJzc7Oydj156R w8x+d52hwgSYDvhJ7jiqJlQJIoWsxR0Ub0wmEKOOaLF+uzu1G4CKsEE2V6r1uV3QYnyJQlMA A+CBFbjuuuugUyI0gZzcAVSgyyyaq4Z2as9bSa7MSlFSFWilWKVczFTFhJ460mzPdQSv4A/o HrBH1h3/AayDZtQdhFsK9nKxW9gtRRyNCA/XovXxBCoCrIJO2hzKUyfOAx8fqtm+9c77x7NP Tp06BQECKz8+b3zNWBcnTZyAiAgFM/uaJ0wYD3qP4dYCkejPGANZBFLGGQlzIbgfAQH+z/0x JBzDuywA4sSJE5Ah8XYQ0EdV/o8++oj6FaidfCGk6fXX34D+8lKmLCmByMkEacgw0GbBTwxC rJJTpBreEY5Mb+CkZgbrNGFqQf8qwoz7qgLGKWKblWGATjXVla7Bjci3+PGwghB8R+0mWSMQ DKN/H+sFNWJu+QUFmNdSU1Lxzom9Dm/1iuXnxMfHzp09a3r6tAvXrMJvMX/enOXLzqYY3+TJ E5csXrRq5Yrzzl2WNmUyBtWR2RKvegUWMWthigAVWQHBTKRZ3F+ZmUf37NnjWg/Oqx5P1UYQ UPAKmsie4iED6zBiEfUlEWDYyUTKZfhMGeMZ0dQsxTPPPCMTQtpH+CksLAKZT6c10WLYYR0S sQF5osaSqhjQqqqogJzOCIrRk2YRRFHckV6c6tDhQ/t2b337Pw//8y9PPvjV7z94x/89wFgx wOJ9hjRiPOypjrORWEeIddy4cSNxP/AQV8DDfxAfH7di2cI1q8+57Ue3jEuMVfYSDbhJ5Jk/ by5/GUZiQkJMdDQBWERhjE9NQfHnPvo/JJxwmT7Mj2MK5ENUo8Z07L28XJYa+xwW179oF9ZX bKRwUVjiZ/jc+24BXT4qfFfzFOgJsndq+KOEmdjWCHPlL7KHMzzdYatqq/vgz/964G/P/Cs4 uiQqXImp/ApnADlxBCPAYIBF1AEb2TPEPAwhnBUFWUXd4nQT0k26Nr0z1Z3I6HYyi1qayOkV k7qY3aVqiYRriVivSfZKdhUQ0fyWvabAjzVmDMUvcCqiJUstMfRgILYuOSCDUsP4ybDGe5eF dyrOy5sxdaP+HVVgNPeey8OjhJnyRkQR1Hc4J4aNyqpaMKHNJ3rW+fGO6U0+QU1fvvJy2mCq kZgP7B8omfBYsBTdgy1EomPPBNlAcswhTuceuEbkSpV8amrlU81f582hfamsqm5qbh5MvIE3 G/X5a8NuIrxgG5fil06fBzKO5KZpEb6fNWKkxFfNd9mHFd0JC6OEmSAhGhQHe6FOgHtkWoSG hqiwsva6nduPL5kTmWhKPJ6Ty7DYKoJCQMjXXnsNVCSoHTRmJuAhRhHYKQ3g/agortMjpiwm NiEiOikyJnkkPhHRyenTZ40pBo01zx7WyUNSkXqIeuSva8ibWCk1j8IQPZTDOtxh7UwlJ2j/ 77vXUcJMfLjwOnggfxFTlSTjo8stqMg41L4oecGR9eX/fGzDPx9Syj27grcdjwjOA86uJWAF D96Xv/xlrORYaEmkxnROlBaxGlgOnF57DLa0J+JshC7cM5waMqwbNNDOPlMMBKpK9ALePP66 ehFFyxB1wzXZdaCLdSq3x2/QTggkJQ77HOUoYSbWM1wgADd/YZsypFWrL7vmG79+4fHXdjyQ 9fb//vTkk/dwE6wDLdE9JL0LlCbcB8TTMhJNElRA4Agx0CCnx3OIT+VdOTM2WQEQT1UBClD1 aV3XRFI9xTPUL1dRwuFpKElAcvCb9McyRzfSwE1AAdMQSg1GH98g8/Tp6aTUamutd61l2gco 02zosf+nD6qchjDY3+JySLbyF7S23nbbbdBZmlNhGJs83ksJken36he+++1h9Bsoed2LIvqj xDMZjLL6VFaiVzh9IQf2Z+zbuvbuP/7u1//83dXfvf+W7/6GZcJ4S8w6HhGKXIjPw/VC0MUe ixmJBtzHPb179268f5J59Jm+PlPSrLBESc5mlxGUbr/99ltuuYU0BnQWgnv4S5LJZ3JDmTim z34lglHCTEypuEOIRSYgy+nq8GlvsNdv/M/LTz722lMxyaWLF05lJ/BngnVUFWFveAQiSjwQ 6Iq/BGcJp8Fz3jsxMWAvjbEV4W7G+XmqnZk5WiDVFdslthOPlxpMJ//po5n85DryvjrsMcMB Ne58WhUBh86SJUNAD2yTOsOk46LO4LKGgvcrE3nDV0drLwbwnlPINit5PeAYnkmSJ0DUiopq om18jLEzzov2PUtnDHSsWnEuk5N0RKRcYvFQJgmFAfGIK5Awd/xdUFm2UOK2sNYySXTRAazK 6dq0V9nOe2Trt6U0EKVjoJg20PbyClQSAtavvPJKuCUISV4YF9XDyGKl4ky/CVmnozSr5R5Q o6ZbgnFPqBwlnsloMOqsWbMGcw5fQLPIyDDiHtocNds3Zc9O9Y1oi9217xDjI5sE2w/YS7gs kcpgI9uDRqqKhMfEEOBOGwy82AnASYK2pLRXv7LB6YqPXeP+rEmzMjM2TorHuV7CKvtOlztt N1TFskNQVCBen9coYSYeDhCS5FdYIgUdZEiFxfW7j5ovnLO6eJfx4cc3vPTye9wE5VAaMbqS YEGqF3QU8wBeE3J/yPQloh0lBGcoDdg/XClgO3z1MxzJddqCYD8D7zQHdgu6csVPbyZ+2kmz KoKijapfKhyt78GPEmYitMAJyQ7BRSmV77guWHPZt7//h/8+9NSGv2fs++Cxx/6nvCZEI6xa tQquCHfln/hL4JbOYoT4QrVKbYQaqhQhUB1FhVSgvusDebPHp3wbz9IsC9W9WGO3f7npaX03 HuWMDVgHohOpXlLBTJX9oMhnjzp3fe/L6SjNqhIGatynRqSBx/XVqrwoaVslcPmoqvVy9av3 u/U20PanPBJ6HKD7RpKRiI++sKgkr6Ao39MnN6+QWuxOTxVfKiqr8vILPTbmfklJ2WgqBQwe cwPGdkKjsT4cPZqp0ixPOyY4KGDS1rn7Qd89+hklngkSsu5E23E51fr9+7Yf3fXcz2774Q/u /um3fvnvG752O8PD1or1lWwgzEXiC3Hmi9AJrhfi2jHSkr+HLkqRb+LaqQPE/UEt0Wn8kNR3 zdi9f/2GLRs2bev8bHd+X79xK0foODkhX7JP5n+yfrPHxp9u2LL/0DGWY9Rwg/HI/k6aNBkL AvViJDjMaUnql6tooz3ddlCLmnU4WokOVunDvU9glDAT6kjGltPWKstpNtisdTvf2PLeSx++ kjSh5NqrVLEC/B/4SEBjqpVCSvGOUGYC3wk1u3CW4DsheY+kauyxeDJRMqkOiJUIf8zptkUD Ha87DAoPBaZTU8ZxwA5/OcCHE43kn+NTxnGmNYUinFmvfGHR5Fdpn5SYQIlN+U42XHR0pGt2 0kDHN4j22BEw4Ek9dPLvpCLOgPoZYPMB9T0yjVX563bq0fcrt48SZrLosEqSXMVrooUcVKFZ mMwxkxaHRKwM8A00zZ41k8WgJSqHKlMQEUHxRS0jIY9sPeLyILGYfKQav9Q7I26BMqSq6P0A 9ZORWfVee+3pKhy40O4BZFHPxiUnXnrh6jWrV6xeec78udP5rFyxbM35K85eunDZ0kXAvLPW I1+A/gtWraDxhRecd9bCOfPmpJ+9eP5Fa1adu2zxinOXJMbHksI+misjkesSJetxiUZnML3t zsjZ/Imc7Vc2GSXMFK8JBlXsOthsNKwLJwKE6qoZG/PGh9rMDaEfrd/OToCW1BBBgoU9goqg MbgKscdaAMtF0OU72WSEK4DeDz/8sNQp7Xeeo7PHvb1FhudWigpWLzW/hzi2VoedA1pJypFX UIEQCaK4uIiDAChG69Y95xfwKS0pEXMLq8ehQ5zlDsV0VUqHOCRvHgct8VRDYVXWsKdLTkDs +xry4qnuZQukCpkTS9GPWJyRMGE0NTZSwcC1RrbHOfY/+f4Wx6vfsccid7ETTBWZS56pqLId yA65fvWXdScnPLN26/adu7lJoLN4TSg2Cz/E6YzXBE803BLrLl5pKUJL+VMEIY7WJOqAFXQ9 stqrAY1uIwAPOkLmPv5YuVCnCT9EaB9iXR+teEUbneOX+sUvfvHtb3+bc19Q0aGDnEsLS3KT 9yjjgGYREBiI/MJK3nrrrRxSCpZiPJcTPkbtAh+MRhOYAA5gfYA0EB/m/EsoWHNzk5zE3Mc1 LNIsMAkIoTc5d4csf4wXmKYkoGUYL+YDadTKETrFE88C/ChtBvAHmiGRUt/FGbKzavWFN3// znv/+LdX7nrr8MbnHnzwdywBUT5EgfBFnCtSVk8IG/AN3vJdnU8eHs5Pkq9AXhhy7zAu30h0 xWjRkCExXBynwcYP0AfrGUbZZNAS8Z7yghjGyOZB+OcOCVahISFuVfYw51ZXVbMXEAWKa5P3 I7VtQQ+WUQVv9DhnciSWQvqEvScmJvBq6Ag4QH48wZiIQoSz8xcjwssvv0JRspEbgGvPLCDW DQCJ3YFgPfrooyNWW0jtI2Vx+p3XKGGmjMOjfg/Brqqtik9I4tAY53AJmySiYM6cOdiBYDX9 TuPUbwBlkULGnCwAbRp4oG8Pr4nmlddKqKhzJUD7+fPnU5Mf4YLAY/zAFZUUPet6Sml07W1I j/xEDgAiDBQQ1zFiFfWm6QeVnjL+o7mSkFrkeYKfCSBBtudwoX/84x+UI6OoLIMkWxArZt/j GRZpVug+bJNlJEiQSBhCeZ1RisO8IKpWgzpNtF9b16juhMdJsihu0jxSDUE/EE4USDYMSiZB eahS0FfKAVP/F86AYiCn5QBVFAeiaBDx7qA0IXsU/CcNBR4yzMs6hO4QYCiKhzROHao77vg/ yt6AEkNRMlWtFo7ZtpiF3XHkBNxPbNcETpFcpU627DotQh1tAhwjXGA2YwygMWcfslAIMsAi w6Nu/XABuvfrJLsPNt53333sFzuOssOms/saVIyGNMtokSPYHQ5x+etf/3rPPfci2QJsIxR6 gcGLU12ISux7lcYeM53jcyrfGHhgKYi1UHTYJnIgpJRm4v4CITHGUnaERD4qknBEB6tJ8Uuo LAUQMBFRBZP9BmldT3TyHlZGqCVDwkkA/9+7b++WLZuJ1/cyDbVzPN1glFpInKXHB9yDDcL0 WBNYDa4ptE3tNBR7eGeslaZHNUK5iBeyWlsgZCzvH//4RzQChoQVjVegO6gjPUdo8p66FXLM srAO1HmSg9IgHAjkDKxfljK8I4UwUQ0jK+vY7j27N2xYz2Ii14yEwR+FAgscCW52e7M2hV5J z9hjJjsEYGELkQu4AamkCIWcgcVuOfdJlHVWjVwhfmI1UUuo240HRU46wWJEG54domWl/41v 12Ey4ZRYbCryUQVUelxOiYBRQWUgHJdfdjl0BJcsFGcg8OeONQhFUn0XKRTrphykB51CiZUF 1LwRHQOChaKcw2BZUmQp1CqWEZzkaCDoHZiAeXQkALG3ZWQ1oA7Z2SfF/umUHdg4KXHIg94s ztCZvBAI3ovWDaO+6sqrWBOsIaztSC2IOlu6n0QThjT2mMn8iVBH7YFQSVgsVfPIz2Rj5DQh DAP4S2Sr5OxRYmvVyeTt7aAigbh8R/CAf5IshqoAdPIUfY5osgKHulZW1hbklRYXVfApKqwo L5U4pG5UkNnJaZZgDnIj53NgCyVFGCztN8Wpb+oA9QXHiDvlRBgfH6pDBDc3WysqKpuaWkxm S319IwfqqfMYtaBHZEZVqFCv5+wYvcHo6+vPsfMlJaV19Q1Gk6W5xVrf0KTymPsnSMPTAlRE mGfX3ER6QYbOCl39D2fotlnZHUAFKKIgtewOGjiANBRdo9dl0qvzrZFclKuvz7Uce8zsOTwS 8zhG5tVXX2WHsGGS8E49UpppFfdCnQfdYkqRHBS8KTAKXCl33XUXWgp+FFRTtC/4xvDAkade OHZhSmjpZbMdVy+2XHWW+Zol5ovmEGrfcVi6PCEBaHKsMlQZkwbeIHb9/PPPR2YbIOHoto+g GQdARERGAj3R0UiAScRfoFcGBQUSyhMSjCTWyjmzUrEDcKfOdao6fFY5pYj4iYgIw24fHh4W TPuoCDAS94p2wOHILVi3nhkS2QicXuFWoUuzaql4YG8Y5hDHioLLcaBHjhwV1yIrg/1Mdgdy P8Dd8XYszI6DwFAulCv7tMNMBsxp5xSA/s1vfoPJBxO2iKZANujnnA7c1eluAof5J5e4rWmD iAvv9XbBBt6O6MeU+ICLV8+6ePXsi1bNumT17OVLp2pUtgu6acMIAT6GhBqMKAsFkYuzAMQb 5PFiOnI5fwXJeiaOEIIp54VC+Iku4C/HGSJuYEGh+i4sUTs8QwGAehbxW5O3gTm0BoaEtQxr EL5EtAm+IAOPhGPd4wQZMyvDSLRjf7umJnsqiURuyClI231NFHPt2dLLzaR/o8kYFRWJossb UdGdu0MoKML/SFEHPQoIxr9+hnkq8kyGjLmCChSYdv72t78RLuuchCoGqKkiPafFOjpVFGEU Xu7QoJu1Otqbm1ubW9SnqaW1ReXNdGM66HmodiEhwRIRCsKgvSAsYQsFEzyOEBGXM78uuOAC RoUhl788+4c//AEOQ8w3WrTzpHctmUgZFZGLQCqaEWaAPIbdn3N+CcQDtrpjmooIAzl5NfYe lEyOG8NWxBF39AmZAEBHChY9LbHoJkwC7sEJLsyaVuQncGAJRlpQRRu8Wk+Gh/MMOYgvrJ50 hqGLsuDYIK666qpB6gUc32g0sjtCCAjAwJrNOYh0y05JiepBw0ZvD9KjtUWd/42+33fnpyJm oohfc801eP/wxQO+HBVOwArTwCsA/+TQCzYSww+aALSf+1gRSD0hPQWHCijNmuI84HgM1M5h X9kBdcg2IHZWVlYpX2JbG0dcgQZ33HEHFXQBQeCs597TDLzFJIPrSKRx2uDx4y8LInYd5xjU 4+06OB5fWDFQFGmZNvBnwmtUGJAmazgvk9GE3QX7GYdPslZoDZjNtJhyXyknOeqV0RUPhFIw NTATTgUNYn0wxWMhY6gSoMeUMUNwAQDO5F4CVxgwjke3NRnQBtEYzVwxT6OR3WH1fvWrXyGp EaElYsVAe+u/vapIptLfbDaOe+2r+SmBmRLT7DxaFDmW72iPWHqwkkEX8bwJ7QTmaMxmYBbC a4IbE4P7P//5Txye7Bx+PGQSkJNMMf4J6va/UiPfQsAL5AHacGNyoTxTWtqjbZabnOBCgA7H qsusmS/ux9/+9reALOQGE45zyErE1QRU4XWgNMZqNG1IEjyT7TeausEWSda0BBlgMqwqTBj+ IJk9Wu6ydURgsfcVZjCQCXYKYzVsCnqEGYbNRW0BXaFHkigDBuJsJBKTRQB7pT8sqKAQC8Vi DiVeR8QKFpndwRUHDyBACosjJGCExC5HG+VmyTU5NeoA9QH/LA3CmBxXKjUvwUA2jG1DdwJi JCLPebFeUHrUSBrgjkNNwo1JzTX2FbbJF4gfApIWoXZK0B0ZOYOB1kAyvva1r4FgjNyjPxPc gLhs2Lhh46aNUG4BmoxdGZs2b+IOk1IHhndeYDtH27NWEDJy5fhLGA2vwH6G/sZ9mKSrgA0m A/csMpwBhgmUE7NBLSzIH28JDAj0hkyx7DRWUKuyf/t/Qhr3IicrARtLHvFeF198MaYXxHgu eBcqH3QZKYAXwNDw+8uaSM1Ern379/FPLiJsh+4hY+nYEbpCI0D+wj7ndjxH//P0rgXzbW1t bmywtrZy5nJfz4w97Dq9JuI4QegH65DlJGsMLIU9YisTzsBWgXsUBIKkAdnQewISgDYkNw7b lOPGiCBFLQETRsi85t0WuLdiPAwVae1Pf/oTfwE+Z2SFa1NmffWXr37k4UfuufeeG752g6D0 nXfeSZQMWLdg4QLRqcAxaFldXT1foGtIB0yWMBrYJvo59mqegqIBB3BT/rKMRUXFFrMJYseC 49bHPUAgB+Hv8CIImeZ5GlVg0MamWD2D52JeXK5ftIx5Bbzc5ExxArxYk1u+26FnQn2Qle65 757V568epJ7psu7gNiya6AvZHVSDwe1yv0+BjST5lFdwqtLpIM26zQcbBoIKwiqi3fvvvw/5 RJCjDRiIqEZYmbSHygJYOIhZU847gfazplA+VpmfwNWxPomkY1psBlCIiE41QKgMQa38RWQi frBnKgPAyshBsIS4BKeJMiQ4JDE+MSa66+wzQBbhQjNFc2KxihzgKUgVRR6o08sdCaMR0yVv 1zIblDlU2BfOJ/AZhEcaBFeRHqUo80jYPHoDVjHPSvoXdET+emwsLePj4lkT54qpYzUSEuNi 4oYugbOGqEXYL/Bvye4AdUQ7Dr1nT9OBHuFCI6r0lJdmPW4GSV7oD2AaEIy5QtoAbZB5Z3s3 SHKDKhgUuly/NGwUGjAwiDqiI7EQqI4IkPwFS0kHF9xzuwAI0AzkCQrsqKOLcd8/wJ/p+1o6 Dt4F2znvHj5JaR/yKqtr6vhvWXnlvn37CwqK+XI0Mys3L9+Z/ykSqNaytqa2nsbV1XVHjh7j w7PHj2dnHc8GV0fLnalmzOCxGrA4aDGwdIQdfL+upw+5LgtIK2viVG3EEYXo5O+nTA+D3kdR vDEZouuyNbI7+OqQk0cGMxkpo+0/Q31UBRjvl4+o9J/+9Kd4NUnOBEWdD8IogHLIfE+9he1R sKXBIF9oNpo+AM/EXuNXUs0OBvXAAw8gcN5///1YdPj+5z//GV+FGyzSEkXxhRdfeP2N1/cf 2K+61evWr1+/9qW1b7z5Rl5+HrGv3OMpxAcglSJA23fuOXg4c+v2jN17Dxw8cnzfwcN8J9l1 e8aeWiXu+rAgcF0kiyNHsz76ZNPho1k7MvZs27nr4OFjfGi5bedusmNz8gq8OkvE+13ssyWj wvIENmq5X8ep0FVeXuFRY+QmDViT115/bVdGR+IRgfsvrn0RdDp+4vig9Ux2B+LIYpKnytY4 dwd3HRtEtKM3YXQDW48eQZa91TI6FTETQw42dFRwLBOsDj46UiKYPz50vHA4TlApAV/wE2MJ 6IfGxX2CxZFAqBiEdkp7hGEAemCrNtytEdBKS8tq66hJX00kE6aOSy+9FA2TnAbCTdAGa2pq Xd8JsOJgnDVzFjnvfManjmfut3731siISMUhW+0rlq8gb5wgEvCVRBOkWc6xN1s6fB5wVNyn /FWXxTc8JDQivNPACI/Fph0R5ufnj9Dr54vt1k9rrFrzHc4THxvTtzQ7UHG3b+lYK8dpYlT4 P7AwUJGII1V7mgbADexDSxYvYfoUQ8Gvy5pwJSUm8U9+XTB/AUoNvw2U4SNAl5WVE8ZYXFyC ikQQCxu0evX5FJfCpnjuucsbG5uGnbhTBAjZRzYdKcBiVvqFR7jr5u8absj0tj/2Qyspr4YI 3EAI0SKwXEt9A3YO9YmUVsw/zEo8cgS7EDTLHVAR3QAsxeMMMnOTf+I8wJh0CuSaEGhmh2vh kFAGGItFU//aSAQhIgxSTdBcB71XR4Ir0EJGQIgS/yf/lJv0wBeJgEEWaGxo0E4uVgfXzJmV PmtGl9Cu2XtUBIIot8Iw1TZobv34uBhi8dx2RRrLW1wRQ7BUBiDfkY3pTRK+e4Ks06IjCAzO sDuiSfZmmB0/PtUpMsjjPcGUfoi4kCLDYjNzHRIjUUmeNhu2I2+hrbMdc9J2xwBWYxLj1ZI7 wU2q3DAWCSkbXuSk2MuKFSuff+5ZRjF79pz4hPjjNZ7TwcaeZ7LigCm+ZrALp7mE+MhOYCtn vTQPeIeBWSADq4+YH/HIoaUQ60ggHiiNVxO7LjoqS4w271GLG+j+Da19O7qQtUVF2MTHxxEI BisEXpkjwUAUtiMWBLavXqEdfo4RkumAw9wktk6zvtZpRX1K+A4xOnEimyXqtJR04IyK4uu8 NDMKzED9dYKyNoUOjuLaWL5LY0F+t8k6mSR6YENjA/si7iiPwCqN6Yc2DFswk9FCSnpjxfwK LRA/tnxx4p7zFTyOCsrcWRP+IgDLmvCFNWGV1HlTFRWDkMOplc6+tLA7Wpa21HnjdQwDEh8Q oE7lwPiv5bV64R3yDlCwQS9esvTJJ5/+/R/+ePvP/49SXb1h/thjJiMDTMElLhYIEoiZR+JC 0MLZPMJ98JQInWbXwT24qES344BCSuQpLAF48PknfJItZM8wzJ4CkQb62to6P38qGFQBeKAc qhRwRhEtPtwkfhJoY+8JGeBvbm4ecHbixHHSo6iaJYemAS74bLnPPzEbKrbmAiiuoNzzu5Pd Cdj027gndPEIA1Wqe20djAV8APcQZDzaUYFgcIZlBy2ltA+T4p8eBTZ6oGf2C+IFtXW7uAmp 1eZeIGsCkrCtrICgCp3L/czMYyr4duC+ax5Bm/APCCTGmAEDcuA5UCcbJHYpdmd467+puOr2 9hmz5q46fw0iIdSoN4wee8zsOTKSLVHBpUweKV0333wzzjeaQdWIWeGSR1DVcJfDNrGFgMzo CfgAyLSi3Ab3QVdkWu8I2Yi1Uv6JkMaGOtJBALKwsFCoj8SXAHmxsTH4gXDzKIapU8IqlBp4 FQYLpErBJO6jNZIGyiMJCfGu0a0DUvwG1FhWhMEgzgBJxL5D9aRoFbjXoSb0YCSCh/A08IfY VxR+KWXi0bGMuIjIAJclLpqWGAXYa2gxcYtc3BGph9WAWKMLY3FgBVgT4WAiJ/OXNUFpRg4e 6C6qHQkPa6ivQ1enT16EUJOcPA6KD8+MiYlG9SA4ZJgF2o6g/HZdm0ru6cOHfCpiJkuMDxNt k+QvvCbELsuiQ2OIC/FyA0Bg6gZ42XikmikeUgdVJjiTQpJQX+2UZcC3RaKdUBRVJoqPAcmK XSK2CWqC3Qt8rKqqAT4ATTChsamFaneTJ0+igTLld+p+ovgJyvV2ydT4FfSQKG1v2jufEmSj bhCaBdIKUMssPDJM4cn8ip4PshEcwqVqC7kkRruuM5NgRuAnpjtmzUzBYbAarqVJ7AY6AStA SIiXNKioqPL3DwAbVbnTxibMWFOmTIbSDS4Wn3HVVNewO3BORGPIBBRHoxc2mDm2AHaHAAze O7yqJnSFHTdrZWLIcjl1pVmPWEHONJkQhEoRy/b4449LG+bA2rFzRAi5CUiiqCB7cB86LaLI 8Ju8B4jBDJiESTgiPHP8hPFhYeHR0TFkRcI84+LigTCoZscgNf7jlDYBDgIC+AmYAz64yOcC lJ2zBruoAgQHA6oA336RjeILBQWFGLfFvNT35QYrvBTcQAYBhUCJvtGAZ2E1kEXYLMODy/UN 1mwcuIfhgPhnDPIYwHAvYfLJzc3BDMurQRVZFlkT/oIq3GdZ1IlaWKgHzi2d4MTuoC6g8MMh JTuHTWGCISGhDIx3jYhCpNim8tYgCJhM5t4OiTgVeSbOTPYG1kEONLn/bBWJEawmm02IFgGi SDsIS6AfwesgJPoGnigc93hKkIiIm0U0OhW8JmLuS0ubApDBwCdOHI9vQMTs6dPTkcOJhegp LAETlHucMD4FEIE2YUmZNHH8uOQkNxAUAQyiKyyxb7YJZCMSIyH3h5UeTB3iTkTHI7oIYbLv 9Cg4JByPiF/0fKbpMZ/GSd+EnTJNjHak+3Ef7wUuEB4U17RToWZNWMPxqeR8h+N7RN2dMnki KeAD9ZS4klZwGwxMmzIFUoIwwgahCvGdv1Onpk2YoDZrmEVZ5+s1mdZECLTe0GJrb7E5Wmxt fJqtDErtJ/8fe8xkbyBOEjMpyYfERgG+CBJI+YhPEGysO9wHCYmtpTGEH+bJTVwmpCBzcZNg WmpzARYoOWwqD4pCMraX0/mBAWPbtu0MGE8sfwnxlUp/Hg3IACLEm82DNkmmogiuzrnAP5GI iNcDOb1hGiwInFpKtAx0QVh2toCVJxUDntm3dKep02HsBfyZjYAW9PZG7tMbe8RuOrNVuanx SRlkt6HKmnAXcyCsmDURK/dAp9OFHVoRbXkdKgPUhO1g2Bi6uAAqtmlkzfs+Bj+fJlvRvmBH UYAtn0+gLc/Y1iwWvrHHTAYB2IGTXCAnyyQWfDYMaBY9yrm77ARciGwviCs3sQmxu1iMoLLg KrwUbwo4CeVjcQcdGjLozfb4oEb7FY2En5P4i5f8pptuQlxnvgB9T/LBsJn4wYOHMD+effYy pHf+ibXWrSWBrhWV3ib48n6E/MFVLWA8GGPQM+WgJ1eeiTDpNmWmyYCJFcEsR9SRq8tEhFJp z+bSIQiJ4CMCtgvRUQDgNlnGwIaCKshHixcvAWCw2PNd1naI+yU9gJlsDYWakFNQoAAnBt+b Rj3EN8rjxDLHh7ffetXE3/9g2W++u4TPH3+0LC013GpT5GbsMVNTxtSxJVB0LpaJ8HRgCLhE ZGX/EKUkx5+WoC51gGiMNQjVH7TEKouigjQCRddMLI3YZllTpKl+j44YlvX1shNgC5BF5CYY DYWN2fVW1ZJpwhPwcisfulXFGOLRjYyM6AklvRlXPA5J5FgvR+vaDPKB1A0RBDGA174FPOGZ uJfxmuC+6i1zUigvb5HenBjrJMTanW7oKundPEXYBs3gn1KZbRBSQM9FoB9gBpsTCM/uwO0H WHN0EOuqHkF2bdMZ23Qm7a/6EPchfY09ZvacE8HohOBBEZFpodYkE2IHohnoh20WNUAewVRI Tgk30UD4ToYK+V9oC4hSZIFBs9FRB7lgI/AYwIQCTELMunUfQptxD/Smg2kxsUlIASiiYq2F ymgFy90dAy6CX/8jdkWA/lu7tAB5MLei2oGfkIy+Pe9OnsnI2YLe8rMYOagOhZWyrk6S0Z3W dDFk0TNZCuRqeuYvGz2MB42DmdifEbjefe9d4pnJAoWfj1hEe7fl1/bFw2lopyJmMnDkVSw9 P//5z4n9R7qQqQAWGPG8hCpEKfbSy8aj0ww5UJWfUnU9/FxLFvV8O7qPCMD8RHIIxv2eChUA DboKU5IgHiBJOcg6v3cTEUmM1g6DEWXBtbHzqd4WAZ6Jws+7EF7AtL7hVXgm24SdHBN6Hyf2 MAZEHtFf6F+ct/TPTYRVN57JT8IbZU3EuTKMtncxdkh9MJwxrLY32vuIgs0pipmgJdECmOyI hnVmgbFeWAgRkzDHu0Gq1IxGFAGMUEjgt4jBI2LyHuxuAFLk7BNzf8nFF993372QHow3vUli AArQKaoOlh5USgDRHVa0knkSQgQ0Y8PAL8Ks8cXJOULdwuJUwm4rMS7cpKQiF2jDpR1kSuxL CWEvbrKuU/2DZ7KwNIN1A7gejS6C3oI5DBW5F0zmkqIEHi8n7jEw2BRUWCr9YNhjLmgoGjZ2 PcrwaMlMRf3j6i2GYRBbBNiQaYCd4tJLLv3xj36EtMVghmJeGsQY3B45FTGT+I/bb78dExxR /wT6EA9E2hTjRm+BhWI0Q7jCsyKKKPuEhkkmJ9+58JewrxSMIFCBhR76Ag2xB7E90gnbLI4+ mANiIfy8t5ILPMJPzAKwhgwh9+IcUsyzK2JWWe9IRymvqKyrbywtKaUB0iY3QWa+8BRYChw7 sQs4JsyUiAWyK1TOlRb3h8UNrz6NuXid+EW5LwMA56UaMt+Rq4mIAJM9hhnQBooJQvIs5AML HBME57nTr20TdQ6ljjI/hCVQjYFKP1zsOGSLqCNX/kzPDJJJMQx2FuO22FSHZKTp3B06RyJD PWbwMHA0pjEviDH2mMm+qvwJomMaGuTkkg0bNsgBuCgqEGm2WY4DYycgpU6jGdvD5lEwmjg+ FhRrLXAPeAH0SFOEuY+5QCJTg1MBPXzBH0jiPKWlcM/CP531Kd2Qn6dACTBZiqdIJo0c1+Vk azATaqSSw0UYQ2iYCiHGJMb6ILJiF4mPTyC2AdhircT8y08ImcTWq+rPwUHiPsHDTk3H2Ng4 KiiAA4xH2KxwJ+zBWvU6lV8KTWQkIKdH8w9tOPwS9GbM9IOoCY8lFprB9M120K9og8GPbpmC hJXDrPjCJl588UX4cmVxWECpqIIFVaJnMeqyLEM6GphcE7udYGb6h+IAbJQvkd0h5mHMBa6x x0z2EmbC0kguGMuE7sSKs1sIRQCQq0pGA8LZsaNgwec+7jL+YowFk4EM4kj4DufEPDAsJrsh MkzhIYRHA7sMlYFhyqJIJ+FNcAmItMf+aQxAswK0ByFhJiyIm3tAeCYfgnsAUDzmRHWDEsAZ PLOyEqjlX3WHDx8BgsWs0lDf4OcXQIfEndAhwUOksIgoSz0hwt3QAo4dyxIWxF9QS44XYTCY wfknjVytNc7BMzYtnU0FmtEAZGP9IbVMoV+GxiOElGDzY0Ohp1jv5C/si6RN8bvLJZCAPwZm DrF2Mx0NbqdYFnaHZ2HdeDKxaMju4DXpbXcG96JBPDX2mMmgWWUVsRYaKtVE0TDZYOguQhrU GqURbVOgHCZANWTWke1n/+ComGHRf5BAwEyIOoDItrHZyDzDaCEYxMoKMIEDgDUjFwVMoiCk kGQfphQghkemT58OzZLTCns2Rv/kuCPSCYEhZqqxFz2cMzAwSHMwqPgEImbEqQuOsVa00Xz0 FOxSPJllh16AcgQJ8mFJiVZzcjneyHcepB+QgZVn2YX99lwNwUCZJjiJLCOREn3QR5kjDZgd ONzzIuDS7UWMB/MschMgwVuG6q9WResNsEqxiiEyAG9kY4OiEsY4uE0frqdOCcx0mwxoRi0W 4BihCwRDyeQYYNrALXFsOi2uUFlyz8FGLkgs3+FIoAGIinqDaoQrZbiWadD9AHywI4FCYpsQ k1CAidHHztF35Jr491kEmU5PyVxyrfU6H5CSZkASpE2IEdHY/BNEYhFYQ0E24bqgghhOQEJC RLXj4lqFqQLxzhwAXqfiVDV/Bn+J7hAe4mYlci4LIawi7/AWWor5pG9nI91CFBik01bcL4OV GAyYPLsMTRkWC43kzdAzRboIWXn19Vf/+re/YrkYufMzvYSlUwIzNY9OtzArlEZWB02SWDZn iUHIML4QLycmlc69bDxCzcRnTNyh9A/IIhBygRsSwtrHeyUmDmQDRDyGCgHZYGAnCjnAc3gP EAa+8QpyMlxhl1epIpF6XUtzC4yKAAZJEUYKRZTlKRim4JWT1U+bNhW3qrBBBszjEg3Xc9g8 RYgpsaZi76EllIKbfcfQSKo0fwmJQ6HlLxFBQj7k6lnNVnQZtFDWxBtR2ZttFX1SCAprWF9X j48KejFUhuzNu/tsM6qYKZvhHM/J7BMH9mz95KMPXn//zZt+8rcnnnyZn9CaxPSPaAG4uIVi iFUDGwAqKI1xn2ChRUEac8G1j0UWUAa+8ZRgWMbaTNUiIpn6zsOA4SCzoSsi4fdkPnKiCUeA JSbGYzVByoBmwalSUsYhU6SnTyPV0LWWMctOHmMitTLjYnHXA99ctORZ1DpJW3dujaAH/YtE p9mKAvgn0i9/PdrVpLHIunynPVgqJar7WBkMxWw3Cgi2ZPZUzu3roz09o7NINffhSs6S3WGc aEko9ghlZFAgjrkuyJCxbDAdjBJmAmFYUMEiois66muAhFW59qrXbv3x92//568rW3N2bleH txO/hueDuiHgG8ZJcXCBjQSdsitANtIgu4glgGwS+Cr3qRKE0DuY2Y/iM2AmMhhOM2RsIgr7 zerWIoGSwS7JXfbIqeCK4AA/Kf84uSRaMjFzklSmbo9oOhWWWIah5R+pxkL1xL3ek0W4qohw S/4JSnjUeAV7ne01Zt4KL8Kc24fXhPFgQKaoB8yZdByoCXbZvjGZXxG5IVWsyTAa3kXPRCfC ZkEKAbuDFX0UQcPzq0YJM9kqNglFC4EBUYeVrW/AV6ZrbvWbvDymKrjYL6zql7d/jzECbXJ6 AsuE2oPtAZSmWB7OA3wn4n7ANML2QNXEWojgOoz7NBJbwrBh78yajHAKtGFbBiuYUR8sgp8g NyxFH3GqkirhRAwnerjiiXM6SmPQLC6ul+uzfU9csAKU9ka74xVyYEnfkQbsIDUf2HG6RYLg b9+qJmsitZH6jt0d6A7SLWwAqxXBnrI7SBOQ/r7VjYG+ZaDtRwkzhSyJkMMXLWLEBwnI12g9 lJ2z4qIJqUFJDc3qgFHkVUQsFBsKisJdgU7MmMA0SheGR74A0/BJ1hGRhk2lo74zBge6IsPe nvmiFFHtH8MPqQykF/KX0FnCIXoGfDuhASyCigs369vIOewD7tkha85FkhScsG+7jsjtzAv6 i7zTR3QeM8XHA+kRkiGXG9Wgt06dUw0KogBFBooEhIZp4kpu50wATpFga2R3uHBsjq2qOUqY qZnsW1GuwExVaxwa6WdBudifaY2yxuxct/OJF3ff+SuVOwuVZUVwcLFnUiMPeybR6rj1kDQw VKKnibEbkox+RQO3E8WHacOGoRtX9wKx+EQX4FWHMCMOEN6ESsM6uHJ74NJJZYBImAN0Supf jib91g4v67JO8WrGAE7ii4Kz9TRHyWFnzksCmOSoiz5OHKFbTFYYrqUYl9sFwGhYrVDVuSYg JHoNZE6KgA19TcTSxPLigcMKAJjJxe6wWZjfvBEQhgFQPHUxSpiJbEMMAFuFBM9fGcm8hSsW nvedFx979a0f7v/htZf98U8/4qbUMUCcYKX4J+hHPjRylDAQKuXxkwTusaOYcOmN8spEGozQ Ag2lW7adreUCpIgsIbqA002obMQxCmjLzzzzLDwfp4W8QvMENu3cmSH16bgj9lu4xPAKb/3P qLvRGNohRasQv0EMT6aXbkZmtgkxlVlgwZIYCY9vpFt+JQ6JiEsORGVB8FtgO0Dl0Y4VeZ7v hP5jEkaLQUQSwYFHxD/EW4aqwuiVgMboIB933vkrNoUMJy45PYHIbYzAY2hZHCXMlL1xlUz4 J/ZDlP/EpMQZs6fedtutWmUq5VqQE129v5B+h0+28f61iq04TfxuU3MiGwIb0arE4mzevAUn EMCNiQv7FjlHWLaOHDnqat1Bwtcq03RcwiqxVAMf/fr6BjDugTcV7Q7G0m+1EaYj4fIQUzZU Im97e6EookwNGZL2xFQgMBOMQZAJxT4oK6spQXqtXl5H0IKsCeMRuXrgU+l6gseJgiIVAhMx VoBdu3ZDTVCgtATa3RkZ5NAWkSU7lFcM5dnRw0zok3KiaYfMyXUs88ienR+/vPa5x9Y+cc23 /3jf/Y9yk3gxtoetRZnsSRSBURwqhGgA3DRGsGE18a9oJ7qN7qUdsNVxuJw2L09jULGp+Oyw cTA4s1kVyyCSDg97ZGQUydCgIrqVGncnX0GBoieZifBbhAKtTtfgy2oMel3EOgC3ZAxQzN27 d0vge2/MCpyBp8lpi+wRkRJ9xwOIbskj4AMxqxzmy2GEnMUk+QmEJHUSODLI1ZrQP+0BJGx+ aJtDDDoXbxAyC0dH0Dm2av5iy8CCDW+AbWhHnnTljg56GQf34ChhJhYdeAVYRESyJDpwNTeW tNW89fPf3fm7R+/R+RXWVJZzk9ACjLE4V4BFviMRYZgFGxEFeZAsKup0QGghcvzEd+wo9Dn6 XhOsFmERkQ6dqZkKS606PlZPVfDZWoAbHEa7BsGQzSRLC4AA2mAvEhssap2mUxF50xGyI1n8 RL3Qcoj8YXDAARoIamEgwF9KiAzWcmBXZFQNrRhqF0tkpuAtziGUDsKPUExcK8TSj6tkC5qJ C5RX/OhHP5JzpXApUaELlceJdaJnSqQe30X/hHZjlh+yhUbpGowZ0knEhQQ54hnSjmpXwYLs xf79B4ZFoR3E+o8SZrKHrCMqFkSXSyuAr2p7traFzVyd0JRUbQytu+U76iBX1h1Bhe0HDoAG lgn7NRjIkoGB0GO6QkxiTemEnyBvbodSD2IVBvEIA4AzJMZHJWmfhLiI8FAEUTfJTaVQcWC7 wBaB5sCTmB8hLqooo3Y2iZLQdMpHD5FOSkqWRBAgRo6sxcrlpa9iELPo9xGQB0WXEWqFkqMk fUTyWmTwit27TFqLwlXGZHZKi4lXsTViznXltCAkoC9F3CU6T0YiFaFYGgla4OJZKgmi8vEi bqLoQs4AADr3GBrV74ycDZCy6YHgYwml4lQocuI0UUUFV2kBT8pWPMS3eD8et5ajipksKJvK zikXFiexcli5T+Pu/SeWn5uU6pdUVlnB4ABiZCd4LIkjCDlsHkoFy4RVVupusZcwTIAYqIU8 YxsYqiVgsIuHClRSXPzxJ+s3btqye9cexCz32qEcU+vvh6CL9shoIyIitRStOAwbGuxGA+uU t1SAqxkh4ZAIUQLQ4jUBH2CqQ9epBjtFFZ/AqKToGWjJ9oEkEsbQU4EUnolayDQZOY35Ikdf uzWmJclxsCV0PDefkGBj5xMqooh1gDpIuV3Jd0Nd15JmhlSjmRIfnEpKyUZK46NBIMQyWuRk DnNAy2Br+Ce7A6sYRAH4QS+488FRwkwIJ8uKCYFtYM4q7sRsyMkr2324dXLApF3rjvzryS1/ uOthhiWKBOITAEp7YqaoN4fzl5h1HCQYePnO3uNEwQ9BCDvGg7Eqk4dZghyN+//6j+tu+FZu fgFlRNx5JjXaa2qJz4Eek3Wl5Z/CBtFI1Sk6yA5SJFJBrSibigt11LlgoSTDg0gxqb4z9M0e aA/iL3E6KjhXj9FCJXF19OxK2KBWQEQVKOWfoh4LD3SzYDFTkouYN39dCSvfRZnU5F7Fi2VN ZPpgrBx4I6EmwloHOqku0CcemBBZCwlxNSTAwoz5K/YCrU48kl2tcrtjEx70O4bw4OhhJi5K YjVRIaSQBNeycy9c86WfvvTEGxt/m/XP33zv4Uf+n7q5bJlU6cdZwj8lx5xtgFKy04Apd+hB qm9JiCYh72PiNYGCREdFPvLPvzz75KNf/MIlnH3lxjOhtYSmBgepAzOQF6jLzjgx/MB2yJqH JINyHVEyPQAMWJRzCrG7SCTQEHZ5kI+CFViVKaiJ2HLo0GH0/JMnc+BXHH3Us0eAmPBJLSMU Uyfm1SzNzpmFDgJ6u2EmuMeeSrSgq/IJ5kuBPMFJt7ewJvjMYKFoMZA2WvZs4/1U6Q2xRdud qPHjJwBUCGuIBto/x7NNLP4Ye02ESgnpEuF+JC46F4bg7BwZLykxLjg0OG5c9GWXXxwZGc1P Ig4NaABw1xEdec/ByPaTl5CXXwj8TJw0MSc3v7yySlvDLiRjqhAOEEwL5UGfUawDkizxaECt EBePwMR9IBtyjs9WjBPew9xwtWTi2uGCUQwbwCVcnn9CXtEser5CEzXDID2YlwFrlEN0ZuYO lPdWrhoGy7wgcMg+0Fz61Oplb0MI8igtg7EoL9gRocuSbT8UnsnusC/MRdJZJVOH3eEmG4Rt mZPalCg78NrZw7L++qKC7KysE0HBIbZWRx9+4aG/TIlGDY2cb+xGPrnPEiO5IeL37VJXZpLu dbuHPqqh9ACUcPyzEzigObNmTaNiXFxsdKut5d+PPb1w0dKLL1ojVUUQw6hdhIOHOQKLyGM4 KimJQmg7dzZt3vTkE0/+73//A1iBP+2gOFVnBPjDC4pUT3Ai8A3H0MxFuq/e8LX7H3iAF2H1 7WMKQnMpdPblL3/liisu77cAL5okNXiOn8im8pIkrwn7EgUSLHJKniJk8tM3v/nN3/3+D+NT U8TpKvoh9Q2cIqiTaALl999/P385vATjloZmhVh3yVugkgDOEnz9sjhcdItjDN7ImkjCF49g BYQXM0hiDyABKDhALF94F2fQ/u73v9eOk1DOj74vegO909Km3Xjj1yQ/UzIuSJDQDOl2qAnT Yc3RqphpXn7eL39xxz8eemR4nXPIBwcP7A20tJEzJPvIatQ12mdMn/bnu+/xAdwlqVzfZm1p rLU21Y3Qh85NhrbWlga3/rnfbm9JiIuy25r6HkBTQ9UIjW1w3cbHRKQkx41LipXP+JT4irKS +oYmj4QcMgwPpAjVAw88wF+AADDqA4CAUQxd4CdagMTE9QdvI/K72E7RG6Uag1O88shJRCBC /Zb8NfF8diqNHoenLLdwp4ceeggIJNyf0EWy5Dn+HTeYECnXx+iQnvkJnBy6nunaM1I0uiVU SXYH62PfuzMia9290w49kyKbFr8AX/+R/ZjhmJ5eYfHzN1Kcxs+/twEEBAXXNzZzMEtQSNhI D9L7/g0ms9tH54ONxEjtrJ4HPAGyaFwcAI5LdtWq1fBDRQ17N2CAili50EVFzxwTf6YI22AC XBfDGzHffecriwjK6U/gGNHOCAh9czDWBKbH6VKEEGPqw8KHVY/QS+x8BK9SYsYt7JY1wU2K bAUvRc4fop7pighQH+IiODyT0Lzrr/8qNLS303tHASflFdidUO1MgbgwfBxmQ9sgPgG+huAA s7/Fp49n/cx6mg2ic+cjJkN7BKHwJt2gx0lXFmN7kL+pj5HQPxMZ9CtMPkS0WFzPhHZuJKwD /8c55yxDQCKaHX7Yt5oEKiLmIb/BH7Tw2rHhmWAOPASRW6r4InAymN6gE0mVAwjeffc9bEVX XnkVoTzi/+gDmsVHAoOCebpeWsyw+3OQCfAHJYJUB4wLfaSYDRR/GANhLSSR40W/5NKL8dUN tV7mQEfQo73GMzHaKwfaYD6o+/v2H3z2+bVZx7ORmzHxYFunR6aq4s5Uwq6Rm7m5+Xv27tdI KrY45OnBvEsNcrDjFDs8ITgvv/rmzozdlKTSwuI66qAr/4cB/7iBCJAjR49pYthgRijHPXo8 ERGqTPoCce3EoN1z9z1AgHiSeu4gA0W4AljJqkHPJHYKXWgMTRF+fv54HVHwCLjv1xIBHyO8 CRpUWFjQd/k5QEEzrakF6MXg17U2YhoEXWGtKJbomcRR9XHQ2EDxAsLH7hBS/6s7f8UHK8Bp XwkaRXn//oMTUlMR03fs3PXGm+++9/663Lz8jz/Z8P776zZu3rpp89Y33nr38NHMp555YcOm rfv2H6isqhoT2QxwZ1Qzp6cDPbgfX3vj7c1btu3M2EPS7PYdGS+98vobb72zeeu2T9dvIgJi oFvrTXvQDBsMJo2y8jJM/70xE9BVskzgVERBIRZKKLlr9RBvXjf0NowBefIHP/wB9AYyce65 55DW0wer5ycEUQytiL4wfGgQJo3epokGi6xOtKpYkjTe4Dyfz33sIvdC3QgPxP+EoMuLJPJh WOJM6B8mzEiefuZpNGrM0RK3NPQ1HHQPQ/VnMoGJE8aXlpdbbVDKw7hswdW333kPZ3RhcUlR UQnnsKWMS6Y06uqVywnth3MSCDMmfnPWCEtGYlL85EkTGUna5EkADfkEMFLiUdAPk5MSMZHN mT1zGDfEubvoiihRRIfKhZ2jb0upHHQFEWlobGDYAGUfpy0Mevv7eJDFwaMBZqI2P/DA/STH UDifkch53m4GdkEttFCiKW644askcD3zzDNMobJSxbx5RE7YFN58OkTlzsvDEXoYY7VoqnK5 jY3+pfyPhH+JxXuIawLqyQYxcuyxyOqyOwS39GvHHok1d+1zqJhJX1VUScTb1taWlJSIALNo 4XzcWMA3hB9zMMoh5B4HHrhKwAe+MOrPjPSsPPYPcZ0zZ9Ybb7yzYeOW+LjYQ4ePsLspKcnE 1gEljFNV07FYyNsaFjKstASt2Dnh13QIPGFKkcxM6sqjifV9sgCPsJiEVcTGxGpVOUJHedHA vZyck6AN8TCIFRS2k3MWIGo9c7uIlMEkw5m9rB4aARW3QDNCFCB5IKdHEUlzhKgoKPQIjfT0 o5EyfZEmWAqp4455tm8ltp8V01xKWIYlWZ/xg5OyO1iY+j33YaS3Y6iYCck5b/k58+bOWbx4 0bKzF69eeS5e5gvXrAZLL7tkzcwZ6YvPWsip3ecsW3rJxWtIfJo2bYptLJzmrCPoxxHrjOTs pWdRr/H81SuXnb1k1swZV115xeWXXbxg/lyY/+pVK1aed+5wua2Amw6PlBaqBoqiZ3KAwmOP PYaw17PUiHOzxTmB40HVOzapAHE41SgLV53qbqBWJDqAMDUqZUoKNZf7YHC+qdPpVS0f2pO6 gVhEtT5wEnjwOHLaw6ZAMMpzURGTOl19n90meqkqCtpQTxg6F2syFOFLq2ZgFyoDZuKg4hRw 2R1qxPWxOyONk9K/YGa7xW4JbPUPGPjH3+YX3BY0ISLVz+ob5AhMDk7ybbHwxdJsjvWNiTRG BNoD+CefUF3I2elnpYaOo8EgXsQjHAKqFSMf/EVtcoqYM2EgnsBl0aOwpkpwEvvEX8JBBv0C W6tWkbUzDAjVCRoPgRdMI+cQwyx5M6hh+DO7ndXVfbfpBCGQvzjED+w/AEqDnKNsLWTAmlKn zhqCaRP6g8gDIkHUetYTYKhwMNw8YBfYS2NihtCNx49PFf3NIzRLlSM3DdNpDeopzYI8kNfK ikrWhGghCT/oKVd7iTlCejjWRYJj2REUe4QaSjRhOXc938nLDoe3mdGgM9Q76u5p/mtze7MP BV1YQ2yrqhK/ZmIUad+peMlNLgRSwsWGUSHre1qUMPa1fsd8Y1hrpL3d1KZlTg12IZwP9vzi OtVBdN/O2BDeXQJlFCfBsioHVwJMUtBo/vwFDz74994S/4ASGAMTpD1PQb+JXBNONSThbeAT cpXq++PYiqE5N6W/xh1D4VAj4oo92nvdNE3WhGVkPGgBrBvRVETVQQJ4dvBroh0MgWJM/T6+ sNpQoukzptc3NFBthNcNGucHvtIeniBq01ipr3po5sO6T1GEOVOW+spU48FaQiEa7Q7YCB4C xlj4+Ut2Pn+36XQEnI+mwtimu7npW+bj/nuO7sd8MiY5md6seG1NZUVZR/FbRcc68xLZZgJc /vWvf6HYfPrpp7DN3qJJATVAHI7KmWigMf53zQU1Zsn13sx6oG0E0wjJBDMlJ9MNwTrrCXR1 zArQkhg6+DbZDjBPULRvx4w3oxLqQ2+UTbvjjjtuufm7+/btlUpUY+VDlmFr0iwY+DFleXS6 xRxSqdPl6XQf6XT/1emydbr3dLq3tb/P6HTv6nRPanjLd+4MVUX1Zt26teE0GCx4RIHIoX2n 1wXkYatEuAXfQFcRcXubgki/+NORJCnvMIb5mSO0yMwOwrRw4QJoEHodlWUoYspMESm5+EKR JKqZYZJzHQCNSTzCn0lUALL9MMYAidcE0Wbr1i1IyIjiPaO7EbyH/UKM7m2FOyINFIekSA0n cYGlsESOJoBbFmpPgQVVOt0Mne6oJuXu1+nG63SUvxv1oBRkZ9bLm5DlEYKnQXcLpsEW8F8T /MUJcAhLxLIDW310CBAQzYc/naeG63SdQY9/JB4EGbTyK1bkUuLXYVAsDrVjcLfg8oVy9Swq CSMl4IEAHUSJ4U3Rgv3yRixA7A5V86699lrX3WH7rDYrpnWY/DBeRUWFUAG3mqDOpdZSkEBL hFj45D6d7mydLkKnC9fpOPAzVafL0emo88A/4ahpWkvO1/qQDCjK7o/EfvXVp0pvj4iAuFJI e7TfPYT3CQMkwYLTo53SF4AIvhFf6taxpGtwkwYc1At0knKBZWJMYjOGMGmvHgU5xXVJoglp KAhEaNQkjuG0IIqI7Rapwrkm4A9hBjBbLNuUehmmnFV19gRyLBRBjl3iYmBoE5zKIf8kYgwT zEP/fNBL/dmrycsx5GGh11x5icf2Gs9E0ibt4XJOrtTpyLxbqdMt175Tw5VzK2/V6dZo3/l7 qU6XoNNdo9P9iAQhLwcwbM3YmKXnLf3617/O5g1bp6PRkUr2J+6UfXW1+irDf49AE4zGkooJ 2AGp8EzCgACdIVi8RmOGg3hHZ8qYKrcHq5QT7zHqgpwIk04cEHFDAo9YEyxA8EzJ+RwmPVDF HmH9ZoVdd0cS32RemsHRce11X73mK9cO4+eGr319ztx5vUX/6ksL8rce/CR33rNmX0N7G/Gu UGuw2cU262qA9WiwHcS2DPiRdke7fWXTz6eEL9YZ26hmMVzBAAMeSH8PkFHXUF/Duev/fuwZ 8jMvuvACgAnVSI5gEe1FwI7vsFAADtAkP/Ppp57+y1/+mpeXS/FLHIPgJNHb8EwYCMjJBUUf /fzMPqYrW+Can9n32rjmZ2L+wS0htXwQUMm/4SwpHscMg6RKEhbxdyADiuff//6PgoJ8kIRy k5Q4I3SORcOrgSMHmQK5Y9D5mVPSpn3rmzdShAG/K8gv+W7O3WFfeJHgZ35B/v/dcee///t4 HyXn+4MLD79TvmHfnl0WvTUlxUN+JpnThcdPvBURdEt4mN5g0leU6mITdGExGiN1+kgY8Kg5 SDxPEcJGRZmPCwrH79u39bLLLh/GaOZBrGlvj7CdYpu1WZvBzLMWL1u65KyTOTnjkpPFuCq1 8zTTBRSwlV2XapeCmQ8++A/yj7TTBEzoOQSjkLwLv8U4AfyhWX1mMBPRgMIlSO6gKDnlSJKC mXiVwDfMP1deeSXu5d2792DNJnaPJYJagcl4g8FJcYTi5IBaDRozp05Lv/rqqzKPZmoREUpy FuophiUpC4gFTlVRKcgfg8xploO8pYwDbY8/73juZfuHm+yZJ+3PPWd//El7cYn9+Rft775v 37zZ/vwLdp1+DD8OlRDT1sbhAuHhStVk2KKinFKXG8YyNmLTkPsJbaMcO/SejQco8Zjn5uYA cMSzuCqQAAcBBtTv4kHJrAcbYZ4qemEIpagGQXr6zd5y9qnMcipjZ2CWetZBPJk9j6kUp5Em VigtUxG72hriZEFj7lOqB2xhAYdet97gY2BtSTdij6hsBPNkzYlFIRqRY3bz8/OoqzZMquwg dkBzfSCVREUBEzoOoaSuZ3GxkmbT0nQffKBDoSMN+MgR3eTJg+l9eJ+RoA2twOEYc3Bv59Xe jhe7qbE+PDyMILWoKIqD2GGJQumxYUgUi/TGpPgnjEKMz+AGnk9YigQYjOqU29sBfXHVaGYY hXkSKCO6sXwRYoHBSkRTvtNYtEdp5mysELc76jIdyadxy1xh7tyXFdCmrNaENAPtjuoWJZOx sSY9VXRvN6WzHdQhPCyM3WGPACpO7yTXhdwXQhHhoogncGax0A6+Pt9Ax+TSXgRrCvvrZsxQ H9JiQcWICPUlNlaXk6NjzePiqGE3hJcM06NESwLW2CrJah+mLke4G87z4qyrgCA54xVhiSLY mN0xv0uldjaemnRK0NUkAPAWD54AMTe12qejXZtLeDNne+Tn5cPA4R4gD+MnX5l/4jkgWlVU RK1EsqIghBAePZoJicnNy+MvOhv4QzMq7vGTViGyhtzOHmxflcOW+AEO4RYzNcE9+E4o4yAU AaTgLaAlpIBf4ZlSYHpYcqb1PnDjOn//IFJeWHOKccKcidfng4DN+KWCvqIdA5QIhgWqFBCQ T7N4ie4rX9FdfbXu0kvRwnUXXKCbOVP9vfhi9feii3WpeFDG+oJ2XnDBKqJn0L7Geixevr/d 38/XZqMStDqiA8ACyLQKnUHQY6yLWuHzSJdoPsVJAAXhn0A2Jgd+Fe+Cl68ccjO9XVVhDwoK DiopKWtobIaUQEFANgpqQVPAVZCNupWArwpOIqfZZCL3g5v19U3kWFdVVgHYWDvJsOMRkk7I OMHM04NtKm7ETTpnTW6++eZ7772XRDO+UAyB6qear085nEhUkuJgNIZGyCHcQw+KohOtqmgL GiwTQe1HRIiIUAWvteoKAbw3OjpmVKUVl83TFxfm79//aUrq2xx/hngvPykBBhKuzuRQ4gr1 8TWF2MPFYrmZSeVZIsSHDCLdOqBAtNl0a0zMIuqDix1lePsfrt7Y6fq6Dtvs4iXLZs+aSZJq dHQklBipiWUES0WZRF+CMxBrBlhQII/wA6wdRBcApiAwIEg1A36FeBM8NGoWoL/97W9HM499 95bvEvrP8EAbpG45w5O9FpKhUXNyA5hKECWCvn7jN1NTVKVWcJXBMx2qKiPzigmRTkQwxtd1 7333+lp8nbXzSBajEyyxdO5a9g4Q4hFkCmqX4P2HISNhkkuIQgg75aXIz5CwIVqApqXPuOTi C7NP5kZFhvMuKbfN+OHx1LNkd5gpMi1THhMLkL6sOHfL1p0ffrRX5cwHBRIBx7rbHXYoVmRE JGtLKcpWeyvme4WB4CjV9lwuBJWgwCAylcThxmSsLdam5iaJ4aa34UIhVZX0hksDg4MI3Vq1 apXkKAwXOg1XP4BUXW1VZXmJ2GYXLzln2rS08rIKcLKmplo7qlVP+WMwE5FPUyB9yMbgvthm OQ+Lw+GkBjGYSbIyBg+q7+DlAwqByFGwzf7tb389lnXiGzfeiPgNPiCFkmKCtMLUYFwgEnfw DGl3dAzvW9/+9o03foPjzdDT6urqpVYwaejIqNAXqUkHWvIUqV5//dtfLeauqpZkewJX4EBP by3P4hr59a9/9dhj/9u3bz9rBVsGfyBhII+QgKlTp4JOg7bNpk+fcf7q1Xn5BSFqUpjiKDGj yiwA0qLeMxGWnd0Zm6qWmmKNCfF4QeHBjIx1hUWHautyd+78sLDwUFHx4aNHt2Ud33nw4Kac nL0nTuwqLcs8dGgz/+Rz+PCWgoKDdXWYGPfv2PFBVVV2eTkGri05uUQ/fpKff4CWjrZKH0Od 3qd2GD76GkSbDRs2UYIAC61mgyBL79T6aOm/XVZKdjoxIYH0caCWcF91QlFiAmoSCiSxLMA6 WOrqUkd2BfSFqEEsRNdCswK+R9l/y8kr8I2amjoO44Fhoi4ikhIsgVGKAyDk2Cip1KqcQCYz wqU64MyhGqOtIcQiA5NKAn0BXeFCPOWWW6OOjNAuiJQc3+h6wTO12oKqcDbSJjK/NJY1AZmH fgqTaK0p45KwEuMuZo8gNOKaQl2SUkwDtTkPF4lXTE6TXeF1BkREJARWnA2QQHuoNcSJBgAT N/nO9kiso2R8y8kcbAkN+EnyCdkwQBA1AzFMCv4Ol2NDU2nUIXDDYgAYxkXsrSvwi+lLzBes A0mMlC4STSD8hLwgxQk/kccBO03bUbm8ckdMmjCW0T6lT6m1OkA/ISEuwN8C+E6ePHHy5Emk OMOgCNAh0nXixAl8p4yZDBUbLmdDkDgdHR0FfCMpQImmTJnMIUsIBVR155/qgCA5LLRjvtga TTJHMf961KVZE+BKaotosKostBiiVE75EE+UUFlgcmyuMi8T8UeyAXIKu8N3dgqYH8PKBhqB R0bVjIMgGAsE+5aKLCCqnOjEuoCQ/CoWf6k+KGc88bQWnxEsiCoVa/hLJ7TsLdFpcFghXJKY GESOwfUw+k+JrYL3spikyNxAkZyvfpW/eMw91c7D4AEP6cBM7QjHVryaQ+cP3k9coyYqKo0d pIhPU5MVioxCCJhqFqAiTEFcZDNiDcIlqADAZEKrpKY75iJUQdrQVmvPSQclubnqC4FQbjYb aBBYAfBAviG14AZgI7YuuTrHjMdIFXCSn6RGBKSBZ4cenSe7o4nfJgbMvshF+ktvlQ29X8kh tlSYyfbHR8dMnTgpMiQ0NTFpfFLypNTU9MlToHtw+sSY2LQJE6dyYA6J7QmJEcEhtIkOC48K C6Pl+OTkKeMnhAcFTxyXwv3F8xdMmzR5YkoK7cclJFh8DG1WWzsHRQ7HhxNI16xZQ1kA0qOG OO0xeRwQh7pR/Qlplu9ukMo/EWUpupGamiKSG6QNnETdQsxzstaRHrk6VdJhB2GUMKnV89dO K1MMDbVRvIvcwXSJMqmZHtqJKoWwA0V8BUUVb2xXkTRcIBLNRDJUyqSLjYJnMT4Ta4GB5/jx EwgR/NNtmrSh9AQKKtKm4iDaOTFc0AXweRgZGrND8Ga1CTYkCAlxr7e89pFef2f/ytqmNxri ZqQnzJwWO2Na/PSpMdOnTjlrYey0yYkz0vkSnTYpde6s1PlzJi5aEDt1Evfjp6fFpU+JmzaF LwnTpybMmCo3+UxcOI+fxs+bnTxrBs9GTEqNnDx+WD5RaRPtbXajQY9YVV9XfYp+6mtabZ4r rwNkH330EeH4pDX85Cc/QWTqmS6sbGYup/SJh2DUs8CUowL4AAk19Xi8djZWKriBRIoChkyL XQRplr+aPqxcjiYzuOpPUUL0IKRc+DyNeQQjjQT9ki6jHUTZJc1KqACnMHGKERYyhGQ5NtcN 9F3XBPzRTtSrpTfxag6XMwlKxO6sXr36V7/61W9+8xss5D3JxKjhpLyImseOuoDAP8ya75OS oi8r1WGPLS3Rxfdw5Yug7+8/yuOT17Gf+LPm1lY2VlYdyMpadNaiU9AwyzgBFA4r9jg2fiKL gohQPHXUaCNuu+/izqAHCh4yG1n8UPGh6lReb5tYWRAXkU5FCXS1UfWcGuPErJCamgwvlcbS hvk6vzvvuI0C7HUNPHTKlsIee8Zq8y45Yhw9UDubTAkXXs+sr4YMg1r4xO5++OGH6P/YMjqc EcPS+6A6UdIs9u+qjz+uOHy4/N77yjMyyvfsLd+8mTMQy7OyyjdsKF+3rnzr1vLi4vKjR8vf e798z57y5qbyN94o37Ub69DofDiMuhb0NJo+/WQ9Zab37t1vNnOy2in34cBebMYeNwJIJR+f ZHwKJWMEwjarSX29AhZQjnqGzEbli9GPBMLSJlZQ1xH28l0ZrjiAwxWHO1GrH5BEIgDZVIaV dvVrf+ZFWEAQNVFnhvfEIV7NjrDg3/72t0lJgzCNft1tt8XSLEBwwpgY3auv6lav1r37roqd JYj2tdd0mzbpsIwfP66rqNDt3KnLzFTsNDdX98qrKoRv545B0YLBPySKCpKM2OtPi0tsiQwV tQ3RDknpt7/9LcXLly5d6rTBepwIk0VcRGbDboTcO4w6lTfrpo6p8JodyVH23nTr1oYYQNQ5 ZIeel1Yd0z03nzVBVCb6Ap/20E+21QbTYRNmGHB+tkZ25/LLL3dagwcxr2F5RMNMMjKjYzCT c+CziqDFIQ42gpyY+xMTdQSpRkaqIHdWf9IkFVDL8XIIt8Md5dPvfFQsWFsbFpExP0Gt36FK A/HOCx3RjBn+ciysoFwfLAJAhwUR0YZbZQxPtvVymoNrxuJgvIdgHTlyGImdkp9UAMKxJH+5 g7vIzSDEI3jyYJvDcrItVB6GLfFkXNir8PfI7mD8HxytGdxSeHxKw0yOMZ88SXftdQrrvnqD Cpm95FLdd2/VrVihmzBRt/Rs3fTpuvPPVxyVmPclS9TfbTt0SdQCGtWLxcI2O3HSJM60GNUX D+FljBkIkxQTgI8jXDEC8fftt9/ujb6Ipoc0xcmZ6JlEqAE9fYu+QxjgUB8dEK90k4ehUyDb Bx98yGTlXAY4IVZrPOSI8evWfeiUFHgQLPUPCEAbRNUkq4Fm4FK/AnDf0+PtBPdqNYd9CaJw 7g4Fu4delc/LlcWnqiXloAapj9NbxCl9Os58mdPmmBcZNr+xfkFs1LzGhnkpyfPjY+YHB87z 0c3z95tnNM4LDlIfk3GexTwvOHjet74xj9LsTY2q8ch/5jY2zGxs1DfW+wX6L1ywoLGh7tT8 kFKEsdFZCZq9AaRIH9FOQGsnLAa7BQItCqcEZng0LQJtgrRg5oTxEySCX5zJY07IvYQ2L5sh FyBTwKM4GQ0+iY7385///M4777z11ltBzvj4BKeplomrrDEdXGMm6swlF1+COQ1T0NDONVHe Y0lkYSMIkmGROSMURQO07/t0Uy8n6E2zmtoGsgDKK6r58IXzgQQqfGx6c5yj5KNds7fvmbLt 4Mz1W9Myjs3IODh587Ypm7ZPzchMzzg8NePQtIxDUzP2Ts3YNy1jT1rGybMyGi7NODI748D0 jIM0HvHProPT9x6Ymt56vLLBfmD/Po7BZTVPzY8rsgn3w1bBgQLgGxW6vnzNNRzketPNN0P1 e54O4txIOkGgUsEe/n7O4Bj459ATLLyBlVFrIxEFLBFuJM7DRTSABnHcGCqfBJ9JAIxzPBJl Dn8zmDqyQ4d0Fpjiwz5EBZOTSbfszvLly2++5ZYf/+Qn6BEw8JH2ISNLU0JlUto0zmsODY/k ExYRxVGXQn9VQkCgn/2NDflr3899Z2POi+tyCvJzDh/OKanMKa7IoXJ/ZlZORWXO/kM5WiE9 7dOerbNn6dopTetyc2S/57briiwW/afrN3L65bFjWX4k6Zx6H47Nxm6hjg3VLpVqobKQKwUE OU35tVdfff6F55984gk0pZ61yZ1uBnkchgBW4yGkjAPBtMKBP0tsU86PADOJHBCLC+IrTKzT RaScpa5T5juCg8pyjokl7o816fLNDCpJjscJWhL7MLtD2dtnn33m3/9+BH8snQ9RVO6XwKlw K6PB12wI9DWEh/iHBFqM+Ek6gaejpkF4sG7rEd1He3V8yS/TvbFZl3FUt/OI7mSJ7nCO7vUN uuOUHR/NiuyepkXmCsLPrFkzoWf9TvvUaSBR0QABBgbK/Nz2k9swcvDdLV2GBuQxkixGXRJ0 HsyPZDkCpkwZ1yIPEuAmicgjTcu18k8KI8QR0iFcdQa49lxYGBuw7WwsZMgZEOtxI/iVuRDH h2LpGjHL6yQPU0M5Fe1QWqrSrykFQvQcgZmEBLJutEHi4A7MjV8RfQe9JvIuOsSHCVz98he/ /OD9D6CGoxOdpxZKr3/434997wc//c1v/1inTkbr8Lp1JEaYjLqoEF1kkI5AyLxSXUmlzq5R fpVkRwglFQ8oNjsgZX8EMINJkI+G02mUXQjDMhUggPMzH3roIfL3yfa65JJL3OJdaAAGkuEB lODo07asg01quE2ojYMcfHWu46D4g5ez0E7IchDsSqwsBCLr+AngnmpaKMmEy3LwnhsnQako KS3NyaF9Po3BE54Cf7TY2mwEVCFMbpckmgjHc/3JVVwXDFe1CJVxm1PAGuSOLIqGUB0nptFg UF6bjjeLeQl/Jvmx7A57RIzeSDPMznersPOZM6ev+3g9sVBUpXFChVo1a6tuaoruKxfqrrlQ t3Cqbu5k3dcu1AWYdNNTdXERukmJutULdTEk5Q/6jB8vgaK/ZuzEiuUrsAQA4v21PQV+h+Qr a5u6WH22/N577nnrzddef+2Vt998/W9/feCll9YGBVImz6iJb1DK9gkTUidNHD9v7iwyOrTE AXXiHRnD5HaGhgbPnJk+ZfKE5KQEDHjApdnEg8h+6vG+PzQ2mjgkt/+WtEH1gm9FhIeEhwU7 qO5nIFDWRsAsxUPqalVGOGGyvoR4SG9K38PdZoqPi+Y+jSnaSnx7c1NDWalKUm1p4QD5rsZ0 TqkgeQvJcTHRnDIWKdORDVOyXDvlXVtBZ+4zEg44ZU04+JQwowCVUOFH/0FBAaSVUS8CmCYP hrxtwjZpT17TAD7aSJgCS/3KKy/dddfv33j9VXbnzTde+/cj/0Km9fM1WzqmaYRO0tL1w9YM 0dIh7JHjgznJctumj7554w2uRkFqGhQc2vv+gvg/BPr5tLXrCWyET5JsUFKhCw1QZfW4Qza1 Op1Xy/hxVrocXdhHyGltDP1veOIqhme1qsyD0R2AV2+DdjQS0VtVbmtp+u8Tz09Ln3nuucuo jkNp+UsvvYz0Rtde/AOCn3vhNQQn8DIjY+err7x6z733NjY1wmRgWRQ6BToph5lfUGAnYthh Sx03Dv+/CJq3//S2X/7fnZxH2jPQ1PUVwlWwN15yyaXnn7+6X+85xIDjA2CMHEEPs8ISQ3R7 YIDKIZYXqRBZTRUUsZM7/3fHHVde9WUIR5g6ENpIyQJNrG2Dwwtzc5qUeerR//yHoIJvfutb cDlUrJLiEjrJzcnhRNl1H3B+jnHNxZcSJ0wI64oVK1D+KMPDmnD2ISQOpoxZhIGQVIZlu7nF hnKTkpyssBlLm8HwjwcfxPTgjTzFCBFcCQS+8sovUdAQzeKmb9+we5d75Myjj70we85szahe dO899/3md3c50w/ZB38/g9moNsT7SysP0nVBtqsqSg3tNoiaDzZCB4tm9/UPPmvRvD/+6W59 cWnBwQ8/XPDgP1qgjno9hyRwtbAG4DPnVbar6u2sMT2SkE96Et9HvTi7tsMkLt5/v2Xeoqri YiCGGnPer8iotQQTmpsa62oqKTiyffehBfPnsYjYhJSJsb31w6152/KMAb5dQXmuyZmi13k5 VFHGvG/slAP7fURMTCI1irrYIddpXI2JuFmhlCioGL6GHpoGqCaCl0iREFUBQ5UpUYUqFRoL PRWJ1HkpUqORHC4Qm8BAm61Vlf/qrCfY75ilwcCwROMxzpGo4jg9kMxVAXZdcIbf1NKmqzx4 +dmRrZhsvLvUJPWmmTNmtDnsnG3eYrXaWx2lJUWJCdHOkbNWLTbdrJnT/3z3PfqissJjb741 +Zs3bdbOEFquHZ9Zop05RBH/8zQ85A4HEXEyWLxOt1Gn+4J3QxneVmxs8/qPP7HrCrKOrVq5 kmDo4e1/uHqTStAIfvsPnzhn6UJdW2t2Tm5dbd2Ss+a+uzlv00kzGf5OpFJALwChoQ5sqGMY ArtOWHH7J62R9LyOwVKl37w26ipgdap//XIEzbKq6WkKgUVhE5GMOXZ8Mfg01TeBbzLHHiPp pAFOrVpsThp9kCLDXVvTcV+70XNNBlzETKiQ1hlCcA8I6NodWfCu7dA1Ndsj2gp+/b1z7G1d Ef99gxCjKy6tSU6Kq6mu3Lf/0IrlZ6M55xeUpKYkOXVaDGm1Da0zpk8DMxXd5SQ0jsOcrp1X AnI+oiFhqU5XqdPt1ek+0OmwhOIheV+njtgcCPceLmjv6Iedbqivnz9vHsaGYe56ZLpDDyks Kv7K9d88knkMNmKHE7S2kmXq/AB2woKUaKiVP3b+s+sn7ddu/1QF610adz3m+RuNBW28uWip Ond/Yy+PqsaqtiUlYJgd/+KLCk63O7Qv/OiwttjQt51z7DES9ULltdCWRV4tA+Y/7tN0nUXP NaH9wD5da6KE7x4flzV3WRPe62A7FB54eqhnN513WmXLFJbfcedv//3oE4Sg9FxWJyRqXhOd jpIE4OFxna6MMAvt4K9I7YOPCbwlDI+TwfiJzxiIsp2DhZTiQpCiw6fJpXiIny8bcJqMd+DD FGRRTFKhn6rfofRMVcFZGZf5AjsdevGBgY/r1H1CJAsNKvoCC4WZaJWczYcOeUynm6rTTdLp OGorXUPXszS0hIVO0Y7n48OXsbrYcg4bRnfHKTxWY/D+vcIIY2Kinnnq0Vkz0zFXQC0RfrCM fHY+dmQoQ3OL3daKp0cVdrbatC+t7S1Whyqy16oEvzad4bMzZbYP+4u9nbKQWGed8a79fzF2 1NxC7rz/nj989fprOJMT6uXWiRPAlJ555K23F9/6Qz8s1wOU1AXp3RR672F3AC2Bcput/oN3 Q5av0p46ZXkQVS0rqWrZUF+3a9/RKZMn2qxNuDbUwrY7DmfXZJYZOPp8NFZsAIs71KYIkR1W R3FRqv3p9gW22sfhyt6/Hv7c4eX1+hmYtmsYs9fP9dPQ2toWpKu6fNUUB+X1vb7qGprDw0Ls rTZfi7IAIbNX19RGR4a7WIDsRnPA7Jnpf/rz3fqSwpy9u/dEGsx+vpa+2avbAGhMwCFsQSsM o2o6KW1B6esDGKvXk9LsdGFhnELa04Y2gE5GvilktLa2sramymY3UHKjKyab0DOD3qgZBEd+ FJ/BN7D/FIZtam6RCj2cNstCorn3MVUeQWikTd++pUEslqqQRMVN28AcBNAvNwNyl+lbGA7F nwICgvxNf/37PxRmkhJn9PMNCQ4220ztxvamtmYUaYgNxN7isBBa26JrliUg090XM22bzmpQ Zd2Kikux/8ZER5zMVgeDEt6J41jOGNSKACu89XjkoNijB7xejOF00NiEwDm954PY+DOPuK0A i1nf0CQev4iIMOykBRUn9W2G+JhxfQTrwKhz84sC/P0i4UsKppVfh5NYpRgnyh5ACu/iJuBo tSlWBhID2KrAL1xG4/zctHHWsJbASWPZXBABjFB1HwwGbnKHKGjQVRqIgdrZzPkihqqltqgi unRLG3rmFZAP3ssr6CS/sDguNvqNt94n0iBn3769SfFxhflFDx//32TLhOvmXW0Ogr4bSvJL Hzn8vwCfgG/NuiEkWtWtrCuv/+/ep2rb6m6e9o2EcXH7Dx1lwrm5xUHBcagWTI9SulMnJzM3 ahoSq0Wl4zmzZ0rBGzk6BgseI2vUiv8Si0SfcsTyZ+sSrnjKityn32IDM7V19SRJ+VrMqUkJ uW31uXVVbz9/4vZrFoWF+sEUKf3ulNUkHIJJYhgvLCqDc0SGhbU2+Jh0htLaooi4cOrxgQ8c wXL8xMlFC+cRWtjU3Dxzevr2nbuIvkpOSiwoKAoMogC1P11l7NqbNmUSeHjiePb8+XPEBZ1f UEgz/hLqPH/ubHZ61+594NuihfOJ2eK9oSHBtMzPL6TD4pJSQh0XzJ8L/B89eqyhsXHunFm7 du2NiIwYnzqOV+zcuZvzVBgSZUM5KCEtbfIrr71tuP22H2FTaa5s+nr5LdtvydgUuc36kXVl yrlN1c3fOvj9D77zccbUPbnv5V0Ud4Herr9926+eu/6lA0sO7fpgz6XBFzbamrOOHzdaElas uMjfP3zy5ClvvvUWZRkJHPtw3SccWVNdTaGzuoLCQmrUUwdx3UefqhM7amrefPtdDs+gfGNm ZhaBLN7b9L2x+59p89lbAZChpcXKcV2gaERo8N68/Kc/ImpwxvLp7WYjzkjjrt17ibU6mZN3 7PiJqMiId979AGfF08+9yMFJHMUXERIdHh+/+1Bm/KQJH3z43uTx40FjJD6StI9mZlVUqETt E9knwZmck7mTJ074w5/unTVjenJS0oZNW/iVIGKOhyAIqa6uYfq0aYcPZ6596dVFCxcQbZ+X XwhW84r33l83c8a0psamrdt3kopA7Yr8gqJnn3tx4cL5kABQtIz8BJMZnkQQck5uHsHroCvp RAzgvQ/WzZ07i1ir7TsykDRTxyUfPnJM2YssJsvu7P0F80gn0elSdR/5rbfW2k7kntybdkD5 TMJ1mxO2l1MYqaRqc9w2HUWYLbr90w5lnTwBloNddlvlkSNHKNd+LOtg+rQUlZat90HhPHTo KJFl1FDdsnXH3n0HiHsmvhnkPHIkk6fARqZHXX3k3tOPhp8Z8ditAG7TWRExZ8WdXJ62NzyY nDstjyz7JBW0+SBngiSJCfHww/EpKSGhwbZ6m39bSHl1yca1rwZUtZoNlsbmZtgsh0EBnBjP qamZnJwEC4E3kq65YdNWDCgww48++ZSMlvT0NACaqvMEJRLc//6H64j4pe48Dtv5c+cEBvgT iY7kW1lV1dJiw6LT0txCCAFW6cT4uEkTJ1hbWogcgFbyLqqETpuahuCKKWtCakpAYEBEeBhx 4EvOWgS2w8mjIyORMZGrlTakqJGtZXHagsmbJ+qI6d+ru8J6iSXMPGXipLMPLlYezJO6NQWr YhOioxMiLyxerVwo5bol+xelT04jYJk6EcuWpGdkfJyff9DWUnTWgnS4M1jn62u56sovpKaM UzqnyQT5QXxltgjWoOIJVi01BSV+wvhUCbA8c51ZAS9XAGNrY4T+vAumHS+rXfvREcLuUR6I zh2XnATrq6qu5sgmysIrXbEdF06Tj8XneHG2v4/fOeetqGqoLywpBSDRsD7+dP2Wbds51ATW B0ByohGhOfA0Dm6DcQHbgCiiKWIqcimsBY4NFqWMI33PgBUGCH/l9Tczj2VxJBqRvdPSqK88 H+BPSkzQ5GqCFo0qW0vj52AjPB8Bku/wLc7/I/iEs7zg0tAFQvNxPsA8Y+M4XbfD2qvZZvft jY+NaahseHr/8xODJlw4b3W7WZm5Gyuant2zNsAYcOW8y41ByvrqaLC/nPFGnb3+2tlXBUUH HTiUSdQ/muvhzPKzFk6JiQqRyv/o61AgODVx9LyS4r3QDEgLgdqU8cSQW1xcykJk7Np9zrKl nzEXgpfgdabZgFYAIZaTiyoqqwP8zOXGyBO+lQlGv5deyi8qdnz/itSlacHllTXUfCC7FUI/ YXzKgYOHk5IS6xsask/mT5yYgo6afSgXmM7JO7l06YI5c2aoSPq8fPQ46lXDGIHbSZMmHDx4 GBYKoFJtGhs7mhdGmsOIeCnJ6JlIpNPTp0rUIQ3CQkPB5/qGenqA3TE8+C2YxryI9IJj0ZJm iMFV1TUg/8QJ48nya2zk0zg1bfKhI5kwTCpow+Rh74yZB2H+VdW1wUGBr2MBUrbZ3buxR4Nj vnpfh66t2d4swUdEdfgb/CEP3BELGPEd/kY/H52+yaHuZJ3IQSNPTk7kWOWWJkrgEKjV4RLg WYX9cvCJQYVWSiVvZbPSUrltnKqgpQgMNBB5QDt6pvFnYwUEM+sbGtv1jh05dl1glb8h7ESW ra62euH0lAvmx5BOjPFVauRiU1S2RnUktv5I5nFgOzEhjvQUpESOosTuCKAKGnARHiGeAvge ZiQtTNAu9ePFDEsmGGZLsAAmDNDKeor1lTt8kZOz1R1qYUtCM1X5tAh+aUb/vEicPRIsxSPy LnkL/fBSXgE6YFSCaSvbbEVpwcmTJziPbaBZ4QqvVDSzCnDU4rO8TX1wworySp8OXpDPBnCf 7rPQ3HKh9fWNpHbr21UAoIaG6vzl3vQhDejVya6qrodm/9CCbYf5zOXhXViGR4z7U8++pL/v nj/XcJae1ylFwzuOM72dWQHvV0BjAJ/xOA2Z4InsnP8PzsdGPeljtqcAAAAASUVORK5CYIIA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADwDoAy0RAAABAOkDKAAAAIAWAADgEAAA 4BAAAIAWAAAFAAAACgAAAAAAAAAAAAAAAQAAAAAAAAEPAPIDYAEAAC8AyA8MAAAAMADSDwQA AAABAAAADwDVB5gAAAAAALcPRAAAAEEAcgBpAGEAbAAAAHyQGQB46EBpfKQZAIyQGQAIAAAA 9KMZAPSjGQCgkRkAlJAZABB1R2mUkBkACAAAAA8A1QcAAAQAEAC3D0QAAABDAGEAbABpAGIA cgBpAAAAeOhAaXykGQCMkBkACAAAAPSjGQD0oxkAoJEZAJSQGQAQdUdplJAZAAgAAAAPANUH AAAEIgAApA8IAAAAgABAAAAAAAAAAKUPDAAAAAAAAAguAAAABwAAAAAAqQ8KAAAABwAAAAIA BwQAAEAAow9uAAAABQD//T8AAAAiIAAAZAAAAAD/AABkAAAAAAAAAAAAQAIAAAAAAgAAAP// 7wAAAAAAAAAAAP//EgAAAAABAAAABQAAIAEgAQAAAAAABQAAQAJAAgAAAAAABQAAYANgAwAA AAAABQAAgASABAAAAAAPAAsEyAEAAA8AAPDAAQAAAAAG8AgBAAABfAAAIAAAAHkAAAAfAAAA AQAAAAcAAAANAAAABAAAAA4AAAAEAAAADwAAAAQAAAAQAAAABAAAABEAAAAHAAAAEgAAAAQA AAATAAAABAAAABQAAAAEAAAAFQAAAAQAAAAWAAAABAAAABcAAAAwAAAAGAAAAAQAAAAZAAAA BAAAABoAAAAEAAAAGwAAAAQAAAAcAAAABAAAAB0AAAAEAAAAHgAAAAQAAAAfAAAABAAAAAwA AAABAAAACwAAAAEAAAAKAAAAAQAAAAkAAAABAAAACAAAAAEAAAAHAAAAAQAAAAYAAAABAAAA BQAAAAEAAAAEAAAAAQAAAAMAAAABAAAAAgAAAAEAAAAvAAHwWAAAAGIAB/AkAAAABgbOE8U3 ti+y5hunJ8xEDnn2/wBnfwEAAQAAAAAAAAAAAAAAYgAH8CQAAAAGBoki20hBupZe0eMZhBeh HLT/AMrIAAABAAAAZ38BAAAAAACDAAvwMAAAAIEBBAAACIMBAAAACIbBAAAAAL8BEAAQAMAB AQAACMXBAAAAAP8BCAAIAAECAgAACEAAHvEQAAAABAAACAEAAAgCAAAI9wAAEB8A8A8cAAAA AADzAxQAAAACAAAAAAAAAAAAAAAAAACAAAAAAA8A0AfsAQAAHwAUBBwAAAAAABUEFAAAAJUf nBQAypo7kkGGMwDKmjsAAgACHwATBDwAAAAAAP0DNAAAAGQAAABkAAAAZAAAAGQAAAA8kBkA eOhAacynGQBMkBkACAAAAAikGQAAAAAAAAAAAAABQGkPAPoDZwAAAAAA/gMDAAAAAAEAAAD9 AzQAAABLAAAAZAAAAEsAAABkAAAA7HUyZwAAAABwoFNm4Z9TZgikGQAIAAAAsvz//6z///8B ABkAcAD7AwgAAAAAAAAAcAgAAHAA+wMIAAAAAQAAAEALAAAfAAcEPAAAAAAA/QM0AAAAIQAA AGQAAAAhAAAAZAAAALlmVWl54wKG9KMZAMhNowHMkBkACKQZAA4BAAAAAAAAAAFAaR8ACAQ8 AAAAAAD9AzQAAABCAAAAZAAAAEIAAABkAAAAuWZVaXnjAob0oxkAyE2jAcyQGQAIpBkAAAAA AFYBAAAAAEBpHwD/AxQAAAACAAAEDAAAAAAAAAAAAAAAAgAAAA8AiBNpAAAADwCKEykAAAAA ALoPEAAAAF8AXwBfAFAAUABUADEAMgAAAIsTCQAAAAAAJQQBAAAAAQ8AihMwAAAAAAC6DxAA AABfAF8AXwBQAFAAVAAxADAAAACLExAAAAAAAA0ECAAAAHC1AABwtQAAPwDZDwwAAAAAANoP BAAAAA0AAgBPANkPDAAAAAAA2g8EAAAADQACAA8A8A8UAgAAAADzAxQAAAADAAAABAAAAAAA AAAAAQAAAAAAAAAA8wMUAAAABAAAAAQAAAAAAAAAAQEAAAAAAAAAAPMDFAAAAAUAAAAEAAAA AAAAAAIBAAAAAAAAAADzAxQAAAAGAAAABAAAAAAAAAADAQAAAAAAAAAA8wMUAAAABwAAAAQA AAAAAAAAEgEAAAAAAAAAAPMDFAAAAAgAAAAEAAAAAAAAAAQBAAAAAAAAAADzAxQAAAAJAAAA BAAAAAAAAAAFAQAAAAAAAAAA8wMUAAAACgAAAAQAAAAAAAAABgEAAAAAAAAAAPMDFAAAAAsA AAAEAAAAAAAAAAcBAAAAAAAAAADzAxQAAAAMAAAABAAAAAAAAAAIAQAAAAAAAAAA8wMUAAAA DQAAAAQAAAAAAAAACwEAAAAAAAAAAPMDFAAAAA4AAAAEAAAAAAAAAAkBAAAAAAAAAADzAxQA AAAPAAAABAAAAAAAAAAKAQAAAAAAAAAA8wMUAAAAEAAAAAQAAAAAAAAADAEAAAAAAAAAAPMD FAAAABEAAAAEAAAAAAAAAA0BAAAAAAAAAADzAxQAAAASAAAABAAAAAAAAAAOAQAAAAAAAAAA 8wMUAAAAEwAAAAQAAAAAAAAAEAEAAAAAAAAAAPMDFAAAABQAAAAEAAAAAAAAAA8BAAAAAAAA AADzAxQAAAAVAAAABAAAAAAAAAARAQAAAAAAAA8AKARZCQAAUEsDBBQABgAIAAAAIQBWrgfD 9wAAAKkBAAATAAgCW0NvbnRlbnRfVHlwZXNdLnhtbCCiBAIooAACAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAB8kM1OwzAQhO9IvIPlK4odOCCEmvTAzxGQKA+wOJvEqv/k3VbN2+OkRUKo cLLWuzPzaVbrg3dij5lsDI28VrUUGEzsbBga+bF5ru6kIIbQgYsBGzkhyXV7ebHaTAlJFHWg Ro7M6V5rMiN6IBUThrLpY/bAZcyDTmC2MKC+qetbbWJgDFzx7CHb1SP2sHMsng7l+0iS0ZEU D8fDOauRkJKzBriQ6n3ofqVUpwRVlMsNjTbRVcGQ+mzCvPk74KR7LdVk26F4g8wv4AuGZvh0 +M6TQ1L/m5yhjH1vDXbR7HxpQKWMVN4F2Dv1w/qbXC9Ft18AAAD//wMAUEsDBBQABgAIAAAA IQDt5AxLuwAAACYBAAALAAgCX3JlbHMvLnJlbHMgogQCKKAAAgAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAhI/NCsIwEITvgu8Q9m5TPYhI015E8Kr1AdZ0+4NpEpJV7NubYwuCx9lhvtkp qs9oxJtCHJxVsM1yEGS1awbbKbjX580BRGS0DRpnScFEEapyvSquZJBTKPaDjyJRbFTQM/uj lFH3NGLMnCebnNaFETnJ0EmP+okdyV2e72WYM6BcMMWlURAuzRZEPfnU/J/t2nbQdHL6NZLl HxWS8WHoxpNJK0SNoSNWMDtm6VuQZSEX68ovAAAA//8DAFBLAwQUAAYACAAAACEAP4W4cUMC AAAoCwAADwAAAHRhYmxlU3R5bGVzLnhtbORWUW/aMBB+n7T/YPk9DQmhZYhQAS3apG0PHeu7 Eztg1bFR4hWqaf99l0tIUtRWZSNapT3hiPN93919d+fx5S5V5F5kuTQ6pN5ZjxKhY8OlXoX0 +3LhDCnJLdOcKaNFSB9ETi8n79+N2chG6pt9UOJzbgl40fmIhXRt7Wbkunm8FinLz8xGaPgv MVnKLHxmK5dnbAveU+X6vd65mzKpKeEiCenPwdz3B0EwdS6ur8+doB/4zqwXDJ3hYHY1/7C4 8ub96S86aWEDN2Dwib/6cnnhK0shli+Cyx8pwSCITxwyjWOhLfEQYrs2SiwjhXDxcodmxUdi tL0RCZF8F9JUapOh/SbL7Vxl5J6pkEaKxXfUnYzd2r64imkRtRW/8yob2wawcY1l4xnPiptK JBZ/NdlCnfyLHlQqTjcQea5XSCA3SvKFVMj4AEnZPVLLCrgpjRT33jO5WncIU7u3ZtNdMJXz yFhr0u5gGv9S55KLj91BtQDK423XWAAA6qjVl+xV9YLEGDZP2TtWQhthI0CPg1LLRqg1ic4f C7FEQMxK/HBut2AEM8jDHB+2BziHJvtjhsHfMGxYFSf/OX4HcTW2eB+r+eaiQlbI9Dl+T0WF torBKDSPJyeJQmo0DqrTDdBmrL04QI9WSKXXRu0Q6pMKbUWayGIB/BdRt0MtMnBjtkUP1jX4 l7VGIu310h96J92VuF5Q+tVqPmb0HCWsKq2Y7beW4mb7KXyRnDrLe/+dJ7rJbgFVPWnL7de8 bye/AQAA//8DAFBLAQItABQABgAIAAAAIQBWrgfD9wAAAKkBAAATAAAAAAAAAAAAAAAAAAAA AABbQ29udGVudF9UeXBlc10ueG1sUEsBAi0AFAAGAAgAAAAhAO3kDEu7AAAAJgEAAAsAAAAA AAAAAAAAAAAAMAMAAF9yZWxzLy5yZWxzUEsBAi0AFAAGAAgAAAAhAD+FuHFDAgAAKAsAAA8A AAAAAAAAAAAAAAAAHAYAAHRhYmxlU3R5bGVzLnhtbFBLBQYAAAAAAwADALcAAACMCAAAAAAA AOoDAAAAAA8A+AM+gQAAAgDvAxgAAAABAAAAAQIHCQgAAAAAAAAAAAAAAAIAGQBgAPAHIAAA AP///wAAAAAA7uzhAB9JfQBPgb0AwFBNAAAA/wCAAIAAAACjDz4AAAABAP/9PwAAACIgAABk AAAAAP8BAGQAAAAAAAAAAABAAgAAAAACAAAA///vAAAAAQD//wEA//8sAAAAAAEAABAAow98 AAAABQD//T8AAwAiIAAAZAAAAAD/AABkABQAAADYAAAAQAIAAAAAAgAAAP//7wAAAAEA//8B AP//IAAAAAABAACABQAAEyDUASABAAACABwAgAUAACIg0AJAAgAAAgAYAIAFAAATIPADYAMA AAIAFACABQAAuwAQBYAEAAAAACAAow9uAAAABQD//T8AAAAiIAAAZAAAAAD/AABkAB4AAAAA AAAAQAIAAAAABwAAAP//7wAAAAEA//8BAP//DAAAAAABAAAABQAAIAEgAQAAAAAABQAAQAJA AgAAAAAABQAAYANgAwAAAAAABQAAgASABAAAAABAAKMPbgAAAAUA//0/AAAAIiAAAGQAAAAA /wAAZAAAAAAAAAAAAEACAAAAAAcAAAD//+8AAAABAP//AQD//xIAAAAAAQAAAAUAACABIAEA AAAAAAUAAEACQAIAAAAAAAUAAGADYAMAAAAAAAUAAIAEgAQAAAAAUACjD1IAAAAFAAAAAQkA AAIAAQAAAAAAAAABAAEJAAACAAEAIAEAAAAAAgABCQAAAgABAEACAAAAAAMAAQkAAAIAAQBg AwAAAAAEAAEJAAACAAEAgAQAAAAAYACjDwwAAAABAAAAAAAAAAAAAABwAKMPPgAAAAUAAAAA AAAAAAACABwAAQAAAAAAAAACABgAAgAAAAAAAAACABQAAwAAAAAAAAACABIABAAAAAAAAAAC ABIAgACjDz4AAAAFAAAAAAAAAAAAAgAYAAEAAAAAAAAAAgAUAAIAAAAAAAAAAgASAAMAAAAA AAAAAgAQAAQAAAAAAAAAAgAQAAAAIwTyBgAAUEsDBBQABgAIAAAAIQAo12LI+QAAALsBAAAT AAAAW0NvbnRlbnRfVHlwZXNdLnhtbJSQu27DMAxF9wL9B0FrEcnpUBSF7Qx9bH0M6QcQEm0L 1QuiEiR/X9rJEHQI0EmgJN5zyHZzCF7ssZBLsZNr1UiB0STr4tjJ7+3b6lEKqhAt+BSxk0ck uelvb9rtMSMJ7o7UyanW/KQ1mQkDkEoZI78MqQSoXJZRZzA/MKK+b5oHbVKsGOuqzhmybz9Z oDiL4gtK/YDAHG0LafJ8+Q5U2e+yWCtOl+L5FDObdBJy9s5A5Tn0Pto/Dqs0DM6gTWYXmKxy QeJz+R68ugDdzdG6b19wgJ2v4vXAqqftFPT0P+p5asWdC4oml+kK4fpYZzO9rL7/BQAA//8D AFBLAwQUAAYACAAAACEAjuoq+r4AAAA4AQAACwAAAF9yZWxzLy5yZWxzhI/BCsIwEETvgv8Q 9m7TehCRpr2I0IMX0Q9Ykm0bbJOQjaJ/b44WBI/DMG9m6vY1T+JJka13CqqiBEFOe2PdoOB2 PW32IDihMzh5RwrexNA261V9oQlTDvFoA4tMcaxgTCkcpGQ90oxc+EAuO72PM6Ys4yAD6jsO JLdluZPxmwHNgik6oyB2pgJxfYfc/J/t+95qOnr9mMmlHxWSJ2vojJwoZizGgZICE/nbWIiq yPtBNrVc/G0+AAAA//8DAFBLAwQUAAYACAAAACEApC7BJcMDAACHJAAAIQAAAGRycy9zbGlk ZU1hc3RlcnMvc2xpZGVNYXN0ZXIxLnhtbOyaTXLaMBTH953pHTzadijYfNhhYjL5aFZZZJr0 AMIIcCPLHklJQ1e9Q2/Qa3TXo/QkffowGGInNCUNDN4ZS5bk39N7+r9nDo/uE+rcES7ilIXI fd9CDmFROorZJESfrs8bAXKExGyEacpIiGZEoKPB2zeHWV/eX8kZJcKBIZjo4xBNpcz6zaaI piTB4n2aEQZt45QnWMJPPmmOOP4CQye06bVavWaCY4bs83yd59PxOI7IWRrdJoRJMwgnFEtY vpjGmchHy9YZLeNEwDD66aUlDdTrxZIS/YaDQ9ynd9TNLrmD6QQ4RZIjh0saIuA1Tpk81reH WBCkeossOiFje3UZSecO677NwWFzpfV4LB/pZ1tHZPwRJhdfQ9TptGDOG8KVuQCimS+l8eg8 plQPpfCTU8rNrPLeRXbeYi/FjDlylpExjsCw75LPDSpVT9wneKWBYNMQiZWGSNixzQr161lU aiC49LaHmoZTZKA36l+TOsU0HvIYOVkso+k5TmI6C1G7g5xoirkgUu0KQ3yZikJhqbRrKvle USgslU5NJaeiUFgq3ZpKTkWhsFR6ikqC+QWExK6vAuGWxGa1PvGKUUaBsYz8BaMD1xwc23F+ vTYjBcYyChaM3Lbv9uqNlDubImMhHRQgBV4Q1JBySIoMXC/Lxaw/TEezB9rRRKt2xztQ/GI2 Au0ZokZ+w7gmfYawhOgHIz5XXA5vz0HBFoTdMY8xLGNZzeD+8PYU9I2+HaLf334YSViQpm0d hV9CmrIqacoaFdKUNdaUpsYoPhilWzSKF3R9dWPHjPL9gVE87axbbpRVZWyM4rqdttrYC1fx vKAQoHfYVbwXy+I26CqrytxaBSygHX0ewHbUKiW+onfblvvKamZgrOK1ur7eU7ttlV8/Hwaw XTBKeWLidd2OjlfVRoHj8xoPr6Cwkyv0vKxE8AU74TdQ5UGOLtbYnxAPp5hNoIp2ecsiEBAu 0nK6tORUrgyqTvwnChprSAA138tUpzYY18ozJO/Ad/VZWRvrn0uJGzRWeapmNPOj0qD2rDXr vhs0VnnK2A6C3hOKoTbW/zfWPHUtJKtZP5VTwuepK9jl0lQB4Ep9gqBw9IRoRBpnH2zCueiS fyMxigScc548bcy8dhXqQ4gJ1lsu1tQ3I1tD0R9CDJrlgiWkMXvLpzzxy6VQvX8qUrDlQuU+ b6DybMhdLlLuM6CKzEQXUuoQDUdWRTbgd0w5s45BFQocFJ0uONSAKlRvr+svFyv39pSfK82i uFTfTOw/iAZ/AAAA//8DAFBLAQItABQABgAIAAAAIQAo12LI+QAAALsBAAATAAAAAAAAAAAA AAAAAAAAAABbQ29udGVudF9UeXBlc10ueG1sUEsBAi0AFAAGAAgAAAAhAI7qKvq+AAAAOAEA AAsAAAAAAAAAAAAAAAAAKgEAAF9yZWxzLy5yZWxzUEsBAi0AFAAGAAgAAAAhAKQuwSXDAwAA hyQAACEAAAAAAAAAAAAAAAAAEQIAAGRycy9zbGlkZU1hc3RlcnMvc2xpZGVNYXN0ZXIxLnht bFBLBQYAAAAAAwADAMkAAAATBgAAAAAPAAwEsCMAAA8AAvCoIwAAEAAI8AgAAAAGAAAABgQA AA8AA/ARHgAADwAE8CgAAAABAAnwEAAAAAAAAAAAAAAAAAAAAAAAAAACAArwCAAAAAAEAAAF AAAADwAE8AwBAAASAArwCAAAAAIEAAAACgAAkwAL8F4AAAB/AAEA7wGAAAATAAWHAAEAAAC/ AAQABAC/AQEAEQD/AREAGQA/AwAACACAwygAAAC/AwAAAgBUAGkAdABsAGUAIABQAGwAYQBj AGUAaABvAGwAZABlAHIAIAAxAAAAAAAQ8AgAAACtACABYBV9Aw8AEfAQAAAAAADDCwgAAAAA AAAAAQAxaQ8ADfBmAAAAAACfDwQAAAAAAAAAAACoDyAAAABDbGljayB0byBlZGl0IE1hc3Rl ciB0aXRsZSBzdHlsZQAAog8GAAAAIQAAAAAAAACqDxwAAAAgAAAABwAAAAAACQQAAAEAAAAH AAAAAAAHDAAADwAE8E4BAAASAArwCAAAAAMEAAAACgAAgwAL8FYAAAB/AAEA7wGAAOC9AAW/ AAQABAC/AQEAEQD/AREAGQA/AwAACACAwyYAAAC/AwAAAgBUAGUAeAB0ACAAUABsAGEAYwBl AGgAbwBsAGQAZQByACAAMgAAAAAAEPAIAAAA8AMgAWAVEw8PABHwEAAAAAAAwwsIAAAAAQAA AAIAMWkPAA3wsAAAAAAAnw8EAAAAAQAAAAAAqA9SAAAAQ2xpY2sgdG8gZWRpdCBNYXN0ZXIg dGV4dCBzdHlsZXMNU2Vjb25kIGxldmVsDVRoaXJkIGxldmVsDUZvdXJ0aCBsZXZlbA1GaWZ0 aCBsZXZlbAAAog8eAAAAIQAAAAAADQAAAAEADAAAAAIADQAAAAMADAAAAAQAAACqDxwAAABS AAAABwAAAAAACQQAAAEAAAAHAAAAAAAHDAAADwAE8EAJAAASAArwCAAAAAQEAAAACgAAkwAL 8FwAAAB/AAEA7wGAAEDiAAWHAAEAAAC/AAQABAC/AQEAEQD/AREAGQA/AwAACACAwyYAAAC/ AwAAAgBEAGEAdABlACAAUABsAGEAYwBlAGgAbwBsAGQAZQByACAAMwAAABMAIvHqBwAAqcPk BwAAUEsDBBQABgAIAAAAIQBa4xFm/gAAAOIBAAATAAAAW0NvbnRlbnRfVHlwZXNdLnhtbJSR TU/EIBCG7yb+BzJX01I9GGNK92D1qEbXHzCBaUu2BcJg3f330v24GNfEI8y8z/sE6tV2GsVM ka13Cq7LCgQ57Y11vYKP9VNxB4ITOoOjd6RgRwyr5vKiXu8CschpxwqGlMK9lKwHmpBLH8jl SefjhCkfYy8D6g32JG+q6lZq7xK5VKSFAU3dUoefYxKP23x9MIk0MoiHw+LSpQBDGK3GlE3l 7MyPluLYUObkfocHG/gqa4D8tWGZnC845l7y00RrSLxiTM84ZQ1pIkvjv1ykufwbslhOXPiu s5rKNnKbY280n6zO0XnAQBn9X/z7kjvB5f6Hmm8AAAD//wMAUEsDBBQABgAIAAAAIQAx3V9h 0gAAAI8BAAALAAAAX3JlbHMvLnJlbHOkkMFqwzAMhu+DvYPRvXHaQxmjTm+FXksHuwpbSUxj y1gmbd++pjBYRm876hf6PvHv9rcwqZmyeI4G1k0LiqJl5+Ng4Ot8WH2AkoLR4cSRDNxJYN+9 v+1ONGGpRzL6JKpSohgYS0mfWosdKaA0nCjWTc85YKljHnRCe8GB9KZttzr/ZkC3YKqjM5CP bgPqfE/V/IcdvM0s3JfGctDc996+omrH13iiuVIwD1QMuCzPMNPc1OdAv/au/+mVERN9V/5C /Eyr9cesFzV2DwAAAP//AwBQSwMEFAAGAAgAAAAhAHl8HFR/AwAAHAsAABAAAABkcnMvc2hh cGV4bWwueG1s7FbbjtMwEH1H4h8sv6LSprddok1R2+0CUoUqWj5g6jjbUMeObLe0i/h3xuN0 b0KA2OUNqUrG8dhzfObMuBdvD5Vie2ldaXTGk9cdzqQWJi/1dcY/r65a55w5DzoHZbTM+FE6 /nb08sVFnbqa4WLt0jrjG+/rtN12YiMrcK9NLTXOFcZW4HFor9u1lU5qDx4DVard7XSG7QpK zUe4ld4v64UNlvi4X1hW5hnvc6ahwpCX4CVbKBByY1QuLevxduMaVwFCmRuxdQ0e+BM8uYWv eMgHUJg27yyeJgkB2gTmhEsjrBC03jB/rBFV7pGYG4wEquAI+JDxbrMs+uL6u2M5Oh6kh8JW T0U5uoDUFAXDiP3BGRLJ2THjw94Af50AAVJ58EwEREmvNwwOAj16w0HSHRDGCCR41tb5d9I8 GRQLG2XcSuExo5DCfu58YPEuBFEaiahTf5iY/Bg81/jGlEcp/X3qUMMYf2PsDWfqg3YZf5P0 +3h0TwNiijN7f2b9YMarqVEZxxWgBe6TceFtpFM5v/RHJZ8KMhxX7VWCYmCgrrHgFGeF0X5M A9h5Q+S5WkxkEbzRWnjH9kDIIp8PZseF/4VfM5vL4hOGDHJNSC+u8lMlAQF0YkCjyvyqVIr2 CkUsp8rGsP6QkI8vtY9fzgYd1FQD5uRMqXb391FY65qqpcDazfirSreUj4wK92hCuGbDiJV2 a6iKdpOCAPDUd/5aLLQJElKBnVPG0fhEBoakd6lzbFZk3iYKka1gvUQSSVkoFOujt4S5ntht aByP08mIhWYal2xAX2PbWey0wO0js0ova3HKomhITpDjW5bvezyrMtY7zPPqQE1jvVve3JpX qMrbwUds/eTiYR3LGtKYpyiCprkVKqfO/W086Q7Ou5eD1nQ27LT62Jdak9m005q8mZz1huez 2Xh89R0rkxrppggNflVWkmRmMS/bXVVW5ksZU4KMYbuVrctZ7LhRwuuYJ3ruMq4RYripbLlF qWmzJIuzrbThXiPVC8De3jjWglbqcEOp8ka+p+EanFRluOcwVdosrDFFsENylA5PbUKZxGPH Lw80TxfgM9SOLArspCeud3Pd5GIXojf2r+pLwqP6kvC7wkPi/9eFaDrms9aFH7FwD2KjxicW SaBZ6nwBFkJb/rnax6v/av+Har/jn7JS4/PuTwmarh79AAAA//8DAFBLAwQUAAYACAAAACEA JFt/u9UAAAD5AAAADwAAAGRycy9kb3ducmV2LnhtbESPwUoDMRRF90L/IbyCO5u0Fh2mTYuI RXEhTusHvE7eTIZOXoYkttO/N7jQ5eVezuWst6PrxZlC7DxrmM8UCOLam45bDV+H3V0BIiZk g71n0nClCNvN5GaNpfEXrui8T63IEI4larApDaWUsbbkMM78QJy7xgeHKcfQShPwkuGulwul HqTDjvODxYGeLdWn/bfTMDbVgCrWS3VoHz+L3UuxmDeF1rfT8WkFItGY/scntu8f93/lL+rN aFiCaF6vx9CZCmOioCG7ZdNsCXLzAwAA//8DAFBLAQItABQABgAIAAAAIQBa4xFm/gAAAOIB AAATAAAAAAAAAAAAAAAAAAAAAABbQ29udGVudF9UeXBlc10ueG1sUEsBAi0AFAAGAAgAAAAh ADHdX2HSAAAAjwEAAAsAAAAAAAAAAAAAAAAALwEAAF9yZWxzLy5yZWxzUEsBAi0AFAAGAAgA AAAhAHl8HFR/AwAAHAsAABAAAAAAAAAAAAAAAAAAKgIAAGRycy9zaGFwZXhtbC54bWxQSwEC LQAUAAYACAAAACEAJFt/u9UAAAD5AAAADwAAAAAAAAAAAAAAAADXBQAAZHJzL2Rvd25yZXYu eG1sUEsFBgAAAAAEAAQA9QAAANkGAAAAAAAAEPAIAAAApA8gAWAGihAPABHwUgAAAAAAwwsI AAAAAgAAAAcBMWkPAIgTOgAAAA8AihMyAAAAAAC6Dw4AAABfAF8AXwBQAFAAVAA5AAAAixMU AAAAAACsDwwAAAAAAAAAAAAAAAAAAAAPAA3waAAAAAAAnw8EAAAABAAAAAAAoA8CAAAAKgAA AKEPHgAAAAIAAAAAAAAACgAHAAIAAAAAAEcAAQABAAwAiYmJ/gAA+A8EAAAAAAAAAAAAqg8Y AAAAAQAAAAEAAAAAAAEAAAAHAAAAAAAHDAAADwAE8M0IAAASAArwCAAAAAUEAAAACgAAkwAL 8GAAAAB/AAEA7wGAAEDlAAWHAAEAAAC/AAQABAC/AQEAEQD/AREAGQA/AwAACACAwyoAAAC/ AwAAAgBGAG8AbwB0AGUAcgAgAFAAbABhAGMAZQBoAG8AbABkAGUAcgAgADQAAAATACLxkQcA AKnDiwcAAFBLAwQUAAYACAAAACEAWuMRZv4AAADiAQAAEwAAAFtDb250ZW50X1R5cGVzXS54 bWyUkU1PxCAQhu8m/gcyV9NSPRhjSvdg9ahG1x8wgWlLtgXCYN3999L9uBjXxCPMvM/7BOrV dhrFTJGtdwquywoEOe2Ndb2Cj/VTcQeCEzqDo3ekYEcMq+byol7vArHIaccKhpTCvZSsB5qQ Sx/I5Unn44QpH2MvA+oN9iRvqupWau8SuVSkhQFN3VKHn2MSj9t8fTCJNDKIh8Pi0qUAQxit xpRN5ezMj5bi2FDm5H6HBxv4KmuA/LVhmZwvOOZe8tNEa0i8YkzPOGUNaSJL479cpLn8G7JY Tlz4rrOayjZym2NvNJ+sztF5wEAZ/V/8+5I7weX+h5pvAAAA//8DAFBLAwQUAAYACAAAACEA Md1fYdIAAACPAQAACwAAAF9yZWxzLy5yZWxzpJDBasMwDIbvg72D0b1x2kMZo05vhV5LB7sK W0lMY8tYJm3fvqYwWEZvO+oX+j7x7/a3MKmZsniOBtZNC4qiZefjYODrfFh9gJKC0eHEkQzc SWDfvb/tTjRhqUcy+iSqUqIYGEtJn1qLHSmgNJwo1k3POWCpYx50QnvBgfSmbbc6/2ZAt2Cq ozOQj24D6nxP1fyHHbzNLNyXxnLQ3PfevqJqx9d4orlSMA9UDLgszzDT3NTnQL/2rv/plRET fVf+QvxMq/XHrBc1dg8AAAD//wMAUEsDBBQABgAIAAAAIQC39IBkKAMAAPsHAAAQAAAAZHJz L3NoYXBleG1sLnhtbKxVUW/aMBB+n7T/YPl1aiEUaBs1VG0lukmoQoX9gIvjQIZje7bDgF+/ sx0K9KGb2koonOPL3efvvjvf3G5qQdbc2ErJjCbnXUq4ZKqo5CKjP+fjsytKrANZgFCSZ3TL Lb0dff1yo1OrCX4sbaozunROp52OZUtegz1XmkvcK5WpweHSLDracMulA4eJatHpdbvDTg2V pCMMJdczPTXeYk/rqSFVkdEBJRJqTDlWynFDpgIYXypRoN2nndY5fgcIZqLYyraI4H8QFQb+ 4DFPwBCpHg2eJ/EJOgHOHplEYD6pXhK31YirdAa52WX0dwMGEVKEvcnoRftp9McYh8PZcEhI N6WpP4p0dAOpKkviMya9PvJJyTajw4sB/roeA6R84whDh97V9WDoHRh6XAwHSW8QQEYk3lMb 6x65+jAq4gNl1HDmsLCQwnpinafykCLwGpnQqdvcq2LrPXP8x8pHRb2/fihlzL9UZkeJ+CFt Rq+Tfh+P7sKiP7js4cIc7+QnO048KJFRdALJME5GGdY50Cmsm7mt4B8F6Y8r1iJBNRAQC+w7 n4KUSrq7sITGqUCf1eyel94framzZA0BW2T0ZPeudG/4tbsFL58xqRdtEhRja/cgOCCEbkyo RFWMKyFCLN/N/EGYmNZtkuDjKunim8tBF1XVgtk7h2Lb4zgCm16GpimxhTP6rZZnwkVOmX21 wWwbMGIN0Vqyot0WwQPcD6B3yyUEQUJqMJNQczSeg4Epw38lC5xawTwqFWKbQz5DGoO6vKJc 9Ocwkfdm5SfI64KSwEO7jZ8sQS5w/kwbyTBB5FbImWb7OrKW5gRZfuH52ONTtZE3WOn5Jig9 b2a7F3OMunxZPOEtEFwc5LG1IY2VijJoJxyXxRQMeLGtmrqq1a8q0opnzmjBz+7mcXZGGeaR 6/BsMioxib92TLVCuUg1CxYlK278JRWUywDHdOuoWfhS+utGVDv+PSxzsFxU/tJCsqWaGqVK b3t6hfRPqbzUI/D45kS34Tb7BP3zssR5uGermciWzcZnb+23eoTDqx7h8K/mOfAfmkbj8zBs 0bR69BcAAP//AwBQSwMEFAAGAAgAAAAhAPGUJc/TAAAA+QAAAA8AAABkcnMvZG93bnJldi54 bWxEj0tLAzEUhfeC/yFcwZ1NWnwMY9MiYtGl00rXt5M7D5zcDEnaTv+9Fxe6PJzDd/iW68kP 6kQx9YEtzGcGFHEdXM+tha/d5q4AlTKywyEwWbhQgvXq+mqJpQtnrui0za0SCKcSLXQ5j6XW qe7IY5qFkVi6JkSPWWJstYt4Frgf9MKYR+2xZ3nocKTXjurv7dFbmJpqRJPqe7Nrnz6LzVux mDeFtbc308szqExT/h/vSVbHv/IX9eEsPIBq3i+H2LsKU6ZoQdzEVCxBr34AAAD//wMAUEsB Ai0AFAAGAAgAAAAhAFrjEWb+AAAA4gEAABMAAAAAAAAAAAAAAAAAAAAAAFtDb250ZW50X1R5 cGVzXS54bWxQSwECLQAUAAYACAAAACEAMd1fYdIAAACPAQAACwAAAAAAAAAAAAAAAAAvAQAA X3JlbHMvLnJlbHNQSwECLQAUAAYACAAAACEAt/SAZCgDAAD7BwAAEAAAAAAAAAAAAAAAAAAq AgAAZHJzL3NoYXBleG1sLnhtbFBLAQItABQABgAIAAAAIQDxlCXP0wAAAPkAAAAPAAAAAAAA AAAAAAAAAIAFAABkcnMvZG93bnJldi54bWxQSwUGAAAAAAQABAD1AAAAgAYAAAAAAAAQ8AgA AACkD7AH0A6KEA8AEfBSAAAAAADDCwgAAAADAAAACQIxaQ8AiBM6AAAADwCKEzIAAAAAALoP DgAAAF8AXwBfAFAAUABUADkAAACLExQAAAAAAKwPDAAAAAAAAAAAAAAAAAAAAA8ADfBKAAAA AACfDwQAAAAEAAAAAAChDyAAAAABAAAAAAAACAoAAQAHAAEAAAAAAEcAAQABAAwAiYmJ/gAA qg8OAAAAAQAAAAcAAAAAAAcMAAAPAATwUgkAABIACvAIAAAABgQAAAAKAACTAAvwbAAAAH8A AQDvAYAAQOsABYcAAQAAAL8ABAAEAL8BAQARAP8BEQAZAD8DAAAIAIDDNgAAAL8DAAACAFMA bABpAGQAZQAgAE4AdQBtAGIAZQByACAAUABsAGEAYwBlAGgAbwBsAGQAZQByACAANQAAABMA IvH0BwAAqcPuBwAAUEsDBBQABgAIAAAAIQBa4xFm/gAAAOIBAAATAAAAW0NvbnRlbnRfVHlw ZXNdLnhtbJSRTU/EIBCG7yb+BzJX01I9GGNK92D1qEbXHzCBaUu2BcJg3f330v24GNfEI8y8 z/sE6tV2GsVMka13Cq7LCgQ57Y11vYKP9VNxB4ITOoOjd6RgRwyr5vKiXu8CschpxwqGlMK9 lKwHmpBLH8jlSefjhCkfYy8D6g32JG+q6lZq7xK5VKSFAU3dUoefYxKP23x9MIk0MoiHw+LS pQBDGK3GlE3l7MyPluLYUObkfocHG/gqa4D8tWGZnC845l7y00RrSLxiTM84ZQ1pIkvjv1yk ufwbslhOXPius5rKNnKbY280n6zO0XnAQBn9X/z7kjvB5f6Hmm8AAAD//wMAUEsDBBQABgAI AAAAIQAx3V9h0gAAAI8BAAALAAAAX3JlbHMvLnJlbHOkkMFqwzAMhu+DvYPRvXHaQxmjTm+F XksHuwpbSUxjy1gmbd++pjBYRm876hf6PvHv9rcwqZmyeI4G1k0LiqJl5+Ng4Ot8WH2AkoLR 4cSRDNxJYN+9v+1ONGGpRzL6JKpSohgYS0mfWosdKaA0nCjWTc85YKljHnRCe8GB9KZttzr/ ZkC3YKqjM5CPbgPqfE/V/IcdvM0s3JfGctDc996+omrH13iiuVIwD1QMuCzPMNPc1OdAv/au /+mVERN9V/5C/Eyr9cesFzV2DwAAAP//AwBQSwMEFAAGAAgAAAAhAOTD8aWKAwAAKgsAABAA AABkcnMvc2hhcGV4bWwueG1s7FbbbuM2EH0v0H8g+Fp4bdmWUwuRF46z2RYwAmOdfgBFUbFq ilRJyrVT9N97SMq5PWyLTYC+LGBIQ3HIOTxzZujLj8dGkoMwttYqp8mHESVCcV3W6j6nv93d DH6mxDqmSia1Ejk9CUs/Ln784bLNbEuwWNmszenOuTYbDi3fiYbZD7oVCnOVNg1zGJr7YWuE Fcoxh0CNHI5Ho9mwYbWiC2ylDtt2Y7zFbw8bQ+oypzNKFGsQcivrUpDbrimEIRvJuNhpWcJO 6bBfElczQFprvrc9LvZfcJWG/YnDvoBElP5scKrEBxgGUGd8CvB80HZH3KkFOitLQANJDzn9 o2PGCUOB/5jTab86LsE2T6e04bQsO1ameSvYxSXLdFURRJyl6QTEUnKCPUnxG3kMLBNHRzgc xslkMvMOHB6TWZqMA4fDiMR7tsa6z0K/GRXxG+XUCO6QYZaxw9o6z+ZTiEBtZKLN3PFKlyfv WeANCURpfXsKoWnE32nzQIn8VdmczpPpFEd3YTBNL8YYmOczxYsZJ1da5hROTHHsk1PuTKRT Wrd1JyneCtIfVx5kAjUQJu9RgNBOpZVbhgHrnA7k2ZZficp7w9o4Sw4sIIt8vphdVu4rfv1s KaovCOklmwS92MatpGAAMIoBNWruppYy7OWLWqykiWHdMQk+rlYufrlIR9BUD+bsHFJtn+8j UfsqVE2FGs7pT40aSBcZ5fbVBLf9hhFr2K2nKtp9CjzAcx/6ZrGETUBIw8w6ZBzGl2AgZHjX qkTzCuZjooDsjhVbkBiU5dXkordga3Vl9r6BvE4nCSz001iyY+oe7WfTKY7tI7NSbVt+ziLv SU7A8SPLzz3eVRlFhzzfHUPTKLrtw6N5A1U+Dm5xFQQXx4pY1iyLeYoi6LtbJcvQyf8afxrP r9PxeHCdrOaD6TxZDpajeTpYXq8u0ovlp9XyZvU3KrNvqGj3Ci3VM2CQlX3X1I3+vY4JAV85 LcVgeRd7bhRwEbMUnl1OFQD6e8vUewhN6W2wKNkL42+5oHnO0OF7x5aHlcrfV7J+EL+EYcGs kLW/9ZAopTdG68rbHphU/qm0L5J46PjlheLDdfgOlSOqCn30zHS3Vn0mOh+9t79WXYK9qi7B /q3sQLw/oO9M36viXavCLYi/BdGm8USJeJqFKjfMMN+Uv6v9f1D7E/8hKy2eT39JYNp28Q8A AAD//wMAUEsDBBQABgAIAAAAIQAIsQqr1AAAAPkAAAAPAAAAZHJzL2Rvd25yZXYueG1sRI/N TsMwEITvSLyDtUjcqN0KlSh0WyFEgRMiLQ+wjTc/EK8j27Tp22NxgONoRt/oW20mN6gjh9h7 QZjPDCiW2tteWoSP/famABUTiaXBCyOcOcJmfXmxotL6k1R83KVWZYjEkhC6lMZS61h37CjO /MiSu8YHRynH0Gob6JThbtALY5baUS/5oaORHzuuv3bfDmFqqpFMrG/Nvr17L7ZPxWLeFIjX V9PDPajEU/off/JzOLz9lb+oV4uwBNW8nA+htxXFxAEhu2XTbAl6/QMAAP//AwBQSwECLQAU AAYACAAAACEAWuMRZv4AAADiAQAAEwAAAAAAAAAAAAAAAAAAAAAAW0NvbnRlbnRfVHlwZXNd LnhtbFBLAQItABQABgAIAAAAIQAx3V9h0gAAAI8BAAALAAAAAAAAAAAAAAAAAC8BAABfcmVs cy8ucmVsc1BLAQItABQABgAIAAAAIQDkw/GligMAACoLAAAQAAAAAAAAAAAAAAAAACoCAABk cnMvc2hhcGV4bWwueG1sUEsBAi0AFAAGAAgAAAAhAAixCqvUAAAA+QAAAA8AAAAAAAAAAAAA AAAA4gUAAGRycy9kb3ducmV2LnhtbFBLBQYAAAAABAAEAPUAAADjBgAAAAAAABDwCAAAAKQP IBBgFYoQDwAR8FIAAAAAAMMLCAAAAAQAAAAIAjFpDwCIEzoAAAAPAIoTMgAAAAAAug8OAAAA XwBfAF8AUABQAFQAOQAAAIsTFAAAAAAArA8MAAAAAAAAAAAAAAAAAAAADwAN8GAAAAAAAJ8P BAAAAAQAAAAAAKAPAgAAACoAAAChDyAAAAACAAAAAAAACAoAAgAHAAIAAAAAAEcAAQABAAwA iYmJ/gAA2A8EAAAAAAAAAAAAqg8OAAAAAgAAAAcAAAAAAAcMAAAPAATwdwUAABIACvAIAAAA AQQAAAAMAABjAAvwJAAAAIEBAAAACIMBBQAACL8BEAAQAP8BAAAIAAQDCQAAAD8DAQABABMA IvEzBQAAqcMtBQAAUEsDBBQABgAIAAAAIQBa4xFm/gAAAOIBAAATAAAAW0NvbnRlbnRfVHlw ZXNdLnhtbJSRTU/EIBCG7yb+BzJX01I9GGNK92D1qEbXHzCBaUu2BcJg3f330v24GNfEI8y8 z/sE6tV2GsVMka13Cq7LCgQ57Y11vYKP9VNxB4ITOoOjd6RgRwyr5vKiXu8CschpxwqGlMK9 lKwHmpBLH8jlSefjhCkfYy8D6g32JG+q6lZq7xK5VKSFAU3dUoefYxKP23x9MIk0MoiHw+LS pQBDGK3GlE3l7MyPluLYUObkfocHG/gqa4D8tWGZnC845l7y00RrSLxiTM84ZQ1pIkvjv1yk ufwbslhOXPius5rKNnKbY280n6zO0XnAQBn9X/z7kjvB5f6Hmm8AAAD//wMAUEsDBBQABgAI AAAAIQAx3V9h0gAAAI8BAAALAAAAX3JlbHMvLnJlbHOkkMFqwzAMhu+DvYPRvXHaQxmjTm+F XksHuwpbSUxjy1gmbd++pjBYRm876hf6PvHv9rcwqZmyeI4G1k0LiqJl5+Ng4Ot8WH2AkoLR 4cSRDNxJYN+9v+1ONGGpRzL6JKpSohgYS0mfWosdKaA0nCjWTc85YKljHnRCe8GB9KZttzr/ ZkC3YKqjM5CPbgPqfE/V/IcdvM0s3JfGctDc996+omrH13iiuVIwD1QMuCzPMNPc1OdAv/au /+mVERN9V/5C/Eyr9cesFzV2DwAAAP//AwBQSwMEFAAGAAgAAAAhAILp4/fHAAAAIAEAABAA AABkcnMvc2hhcGV4bWwueG1sjM+9TsMwEAfwHYl3sG6ndhgQiuJ0QOrWpYIHuMRXx8I+W7bb tG9fAxUSG9t9SP/f3bC9BC/OlIuLrKHbKBDEczSOrYaP993TK4hSkQ36yKThSgW24+PDkPoJ 50+b44mNaCFc+qRhqTX1UpZ5oYBlExNx2x1jDlhbm61MmQpxxdrA4OWzUi8yoGMQ07qPphHr 4irB+CXYAx2FM5d2mVJdm2H/HU1vPt9R/A9qMq7to7/eGb2GyXYgx0HesZ/q97HxBgAA//8D AFBLAwQUAAYACAAAACEAS3NBTNYAAAD/AAAADwAAAGRycy9kb3ducmV2LnhtbEyPQUvDQBCF 74L/YRnBm90oWCTNphRFBA+KjaDHaXa6iWZnQ3abxv56p17q5THDG958r1hOvlMjDbENbOB6 loEiroNt2Rl4rx6v7kDFhGyxC0wGfijCsjw/KzC3Yc9vNK6TUxLCMUcDTUp9rnWsG/IYZ6En Fm8bBo9J1sFpO+Bewn2nb7Jsrj22LB8a7Om+ofp7vfMGXh7m48HfHlz1+fW60lP1kT27J2Mu L6bVAlSiKZ2O4Ygv6FAK0ybs2EbVGZAi6U/Fk3lzVF0W+j93+QsAAP//AwBQSwECLQAUAAYA CAAAACEAWuMRZv4AAADiAQAAEwAAAAAAAAAAAAAAAAAAAAAAW0NvbnRlbnRfVHlwZXNdLnht bFBLAQItABQABgAIAAAAIQAx3V9h0gAAAI8BAAALAAAAAAAAAAAAAAAAAC8BAABfcmVscy8u cmVsc1BLAQItABQABgAIAAAAIQCC6eP3xwAAACABAAAQAAAAAAAAAAAAAAAAACoCAABkcnMv c2hhcGV4bWwueG1sUEsBAi0AFAAGAAgAAAAhAEtzQUzWAAAA/wAAAA8AAAAAAAAAAAAAAAAA HwMAAGRycy9kb3ducmV2LnhtbFBLBQYAAAAABAAEAPUAAAAiBAAAAAAQAPAHIAAAAP///wAA AAAA7uzhAB9JfQBPgb0AwFBNAAAA/wCAAIAADwCIEzgAAAAPAIoTMAAAAAAAug8QAAAAXwBf AF8AUABQAFQAMQAwAAAAixMQAAAAAADrLggAAAApa8cBYDecIwAADgT2CwAAUEsDBBQABgAI AAAAIQCCirwT+gAAABwCAAATAAAAW0NvbnRlbnRfVHlwZXNdLnhtbKyRy2rDMBBF94X+g9C2 2HK6KKXYzqJJd30s0g8Y5LEtao+ENAnJ33fsuFC6CC10IxBizpl7Va6P46AOGJPzVOlVXmiF ZH3jqKv0++4pu9cqMVADgyes9AmTXtfXV+XuFDApmaZU6Z45PBiTbI8jpNwHJHlpfRyB5Ro7 E8B+QIfmtijujPXESJzxxNB1+SoLRNegeoPILzCKx7Cg8Pv5DCSAmAtYq8czYVqi0hDC4Cyw RDAHan7oM9+2zmLj7X4UaT6DF9jNBDO/XGD1P+ov5wZb2A+stkfp4lx/xCH9LdtSay6Tc/7U u5AuGC6Xt7Rh5r+tPwEAAP//AwBQSwMEFAAGAAgAAAAhAKXWp+fAAAAANgEAAAsAAABfcmVs cy8ucmVsc4SPz2rDMAyH74W9g9F9UdLDGCV2L6WQQy+jfQDhKH9oIhvbG+vbT8cGCrsIhKTv 96k9/q6L+eGU5yAWmqoGw+JDP8to4XY9v3+CyYWkpyUIW3hwhqN727VfvFDRozzNMRulSLYw lRIPiNlPvFKuQmTRyRDSSkXbNGIkf6eRcV/XH5ieGeA2TNP1FlLXN2Cuj6jJ/7PDMMyeT8F/ ryzlRQRuN5RMaeRioagv41O9kKhlqtQe0LW4+db9AQAA//8DAFBLAwQUAAYACAAAACEAa3mW FoMAAACKAAAAHAAAAHRoZW1lL3RoZW1lL3RoZW1lTWFuYWdlci54bWwMzE0KwyAQQOF9oXeQ 2TdjuyhFYrLLrrv2AEOcGkHHoNKf29fl44M3zt8U1ZtLDVksnAcNimXNLoi38Hwspxuo2kgc xSxs4ccV5ul4GMm0jRPfSchzUX0j1ZCFrbXdINa1K9Uh7yzdXrkkaj2LR1fo0/cp4kXrKyYK Ajj9AQAA//8DAFBLAwQUAAYACAAAACEA+c8JOYMGAABcGwAAFgAAAHRoZW1lL3RoZW1lL3Ro ZW1lMS54bWzsWU9v2zYUvw/YdyB0b2MndhoHdYrYsZutTRvEboceaYmWWFOiQNJJfRva44AB w7phlwG77TBsK9ACu3SfJluHrQP6FfZISrIYy0jSBtuwxYdEIn98/9/jI3X9xqOYoUMiJOVJ 26tfrXmIJD4PaBK2vXvD/pUND0mFkwAznpC2NyPSu7H1/nvX8aaKSEwQrE/kJm57kVLp5sqK 9GEYy6s8JQnMjbmIsYJXEa4EAh8B3ZitrNZq6ysxpomHEhwD2bvjMfUJGmqS3lZOvMfgNVFS D/hMDDRp4qww2GBS1wg5k10m0CFmbQ/4BPxoSB4pDzEsFUy0vZr5eStb11fwZraIqSVrS+v6 5petyxYEk1XDU4Sjgmm932hd2ynoGwBTi7her9ft1Qt6BoB9HzS1spRpNvob9U5OswSyj4u0 u7VmreHiS/TXFmRudTqdZiuTxRI1IPvYWMBv1NYb26sO3oAsvrmAb3S2u911B29AFr++gO9f a603XLwBRYwmkwW0dmi/n1EvIGPOdivhGwDfqGXwOQqioYguzWLME7Us1mL8kIs+ADSQYUUT pGYpGWMforiLGR0JqhngTYJLM3bIlwtDmheSvqCpansfphgyYk7vzcvv37x8jt68fHb8+MXx 45+Onzw5fvyjpeUs3MVJWF74+tvP/vz6Y/TH829eP/2iGi/L+F9/+OSXnz+vBkIGzSV69eWz 3148e/XVp79/97QCvi3wqAwf0phIdIccoQMeg27GMK7kZCTOt2IYYVpesZ2EEidYc6mg31OR g74zwwxX4DrEteB9ARWkCnhz+tAReBCJqcpc7mh2K4od4B7nrMNFpRVuaV4lMw+nSVjNXEzL uAOMD6t4d3Hi+Lc3TaF00iqS3Yg4Yu4znCgckoQopOf4hJAKez2g1LHrHvUFl3ys0AOKOphW mmRIR040zRft0hj8MqsSEPzt2GbvPupwVqX1Djl0kZAVmFUIPyTMMeNNPFU4riI5xDErG/w2 VlGVkIOZ8Mu4nlTg6ZAwjnoBkbJqzV0B+pacfguqR7Xb99gsdpFC0UkVzduY8zJyh0+6EY7T KuyAJlEZ+4GcQIhitM9VFXyPuxmi38EPOFnq7vuUOO4+vRrco6Ej0jxA9MxUaF9CtXaKcEyT y4p85oq8LWhlSuyeqMPLcCerb5eLgP77i+8Onib7BOJ9cQe6rL2Xtdf7z9feZfl81oo7L7JQ f3WfYxtk0y7HS7vlMWVsoGaM3JamYZawYQR9GNTrzEmRFKenNILHrMA7uFBgswYJrj6iKhpE OIVmu+5pIqHMSIcSpVzCIc8MV9LWeGjYlT0iNvXhwdYDidUeD+zwmh7OzwgFGbPthOYgmjNa 0wTOymztWkYU1H4bZnUt1Jm51Y1optQ53AqVwYeLqsFgYU3oRBD0L2DldTira9ZwSMGMBNru dhPO3WK8cJEukhEOSOYjrfeij+rGSXmsmFsBiJ0KH+kD3ylWK3FrabLvwO0sTiqzayxhl3vv XbyUR/DcSzpvT6QjS8rJyRJ01PZazdWmh3yctr0xnG/hMU7B61I3f5iFcEnkK2HD/tRkNlk+ 92YrV8xNgjpcWVi7Lyjs1IFUSLWDZWRDw0xlIcASzcnKv9oEs16UAjbS30KKtQ0Ihn9MCrCj 61oyHhNflZ1dGtG2s69ZKeVTRcQgCo7QiE3FAQb361AFfQIq4ZrCVAT9Andq2tpmyi3OWdKV b7IMzo5jlkY4K7c6RfNMtnCTx4UM5q0kHuhWKbtR7vyqmJS/IFXKYfw/U0XvJ3BlsBZoD/hw pSsw0vna9rhQEYcqlEbU7wtoHEztgGiBe1mYhqCCi2XzX5BD/d/mnKVh0hpOfuqAhkhQ2I9U JAjZh7Jkou8UYvVs77IkWUbIRFRJXJlasUfkkLChroHrem/3UAShbqpJVgYM7mT8ue9ZBo1C 3eSU882pIcXea3Pg7+58bDKDUm4dNg1Nbv9CxIpd1a43y/O9t6yInpi3WY08K4BZaStoZWn/ liKcc6u1FWtB49VmLhx4cVFjGCwaohQufpD+A/sfFT6zXyn0hjrkB1BbEXx00MQgbCCqr9jG A+kCaQdH0DjZQRtMmpQ1bdY6aavlm/UFd7oF3xPG1pKdxd/nNHbRnLnsnFy8SGNnFnZsbceW mho8ezJFYWicH2SMY8znrfIXKD56CI7egbv+KVPSBBN8XxIYWs+ByQNIfsvRLN36CwAA//8D AFBLAwQUAAYACAAAACEADdGQn7YAAAAbAQAAJwAAAHRoZW1lL3RoZW1lL19yZWxzL3RoZW1l TWFuYWdlci54bWwucmVsc4SPTQrCMBSE94J3CG9v07oQkSbdiNCt1AOE5DUNNj8kUeztDa4s CC6HYb6ZabuXnckTYzLeMWiqGgg66ZVxmsFtuOyOQFIWTonZO2SwYIKObzftFWeRSyhNJiRS KC4xmHIOJ0qTnNCKVPmArjijj1bkIqOmQci70Ej3dX2g8ZsBfMUkvWIQe9UAGZZQmv+z/Tga iWcvHxZd/lFBc9mFBSiixszgI5uqTATKW7q6xN8AAAD//wMAUEsBAi0AFAAGAAgAAAAhAIKK vBP6AAAAHAIAABMAAAAAAAAAAAAAAAAAAAAAAFtDb250ZW50X1R5cGVzXS54bWxQSwECLQAU AAYACAAAACEApdan58AAAAA2AQAACwAAAAAAAAAAAAAAAAArAQAAX3JlbHMvLnJlbHNQSwEC LQAUAAYACAAAACEAa3mWFoMAAACKAAAAHAAAAAAAAAAAAAAAAAAUAgAAdGhlbWUvdGhlbWUv dGhlbWVNYW5hZ2VyLnhtbFBLAQItABQABgAIAAAAIQD5zwk5gwYAAFwbAAAWAAAAAAAAAAAA AAAAANECAAB0aGVtZS90aGVtZS90aGVtZTEueG1sUEsBAi0AFAAGAAgAAAAhAA3RkJ+2AAAA GwEAACcAAAAAAAAAAAAAAAAAiAkAAHRoZW1lL3RoZW1lL19yZWxzL3RoZW1lTWFuYWdlci54 bWwucmVsc1BLBQYAAAAABQAFAF0BAACDCgAAAAAAAA8EOgEAADw/eG1sIHZlcnNpb249IjEu MCIgZW5jb2Rpbmc9IlVURi04IiBzdGFuZGFsb25lPSJ5ZXMiPz4NCjxhOmNsck1hcCB4bWxu czphPSJodHRwOi8vc2NoZW1hcy5vcGVueG1sZm9ybWF0cy5vcmcvZHJhd2luZ21sLzIwMDYv bWFpbiIgYmcxPSJsdDEiIHR4MT0iZGsxIiBiZzI9Imx0MiIgdHgyPSJkazIiIGFjY2VudDE9 ImFjY2VudDEiIGFjY2VudDI9ImFjY2VudDIiIGFjY2VudDM9ImFjY2VudDMiIGFjY2VudDQ9 ImFjY2VudDQiIGFjY2VudDU9ImFjY2VudDUiIGFjY2VudDY9ImFjY2VudDYiIGhsaW5rPSJo bGluayIgZm9sSGxpbms9ImZvbEhsaW5rIi8+sAAeBOMFAABQSwMEFAAGAAgAAAAhAE2O8/z9 AAAAuwEAABMAAABbQ29udGVudF9UeXBlc10ueG1sfJDLTsQwDEX3SPxDlC1q0mGBEGo7Cx4r BCyGD7ASt43IS3E6mv49aWeQAA2sLD+uz7Wb7cFZtsdEJviWb0TNGXoVtPFDy993T9UtZ5TB a7DBY8tnJL7tLi+a3RyRWFF7avmYc7yTktSIDkiEiL50+pAc5JKmQUZQHzCgvK7rG6mCz+hz lZcdvGsesIfJZvZ4KOWjk4SWOLs/Di6slkOM1ijIxance/2LUp0IoijXGRpNpKtig8uzhKXz N+Ckey2vSUYje4OUX8AVG1InkmRL8RnmMOUfyUb8v/aM79D3RqEOanLlJyImpBLXE5wV30Bf t8j19d0nAAAA//8DAFBLAwQUAAYACAAAACEAcPA43L4AAAA4AQAACwAAAF9yZWxzLy5yZWxz hI/BCsIwEETvgv8Q9m7TehCRpr2IIHgS/YAl2bbBNgnZKPbvzdGC4HEY5s1M3b6nUbwosvVO QVWUIMhpb6zrFdxvp80eBCd0BkfvSMFMDG2zXtVXGjHlEA82sMgUxwqGlMJBStYDTciFD+Sy 0/k4Ycoy9jKgfmBPcluWOxm/GdAsmOJsFMSzqUDc5pCb/7N911lNR6+fE7n0o0LyaA1dcPbP lLEYe0oKTORvYyGqIu8H2dRy8bf5AAAA//8DAFBLAwQUAAYACAAAACEAVQhhn7ACAAC2BwAA IQAAAGRycy9zbGlkZUxheW91dHMvc2xpZGVMYXlvdXQxLnhtbLRVTW8bIRC9V+p/QNyTtTe2 46xsR2na9JIPK970TlmcRWEBAdna/74DLI6cuNK6VS/7ATNvZt6bgdnlphGoZcZyJed4eDrA iEmqKi6f5/ipvDmZYmQdkRURSrI53jKLLxefP810YUV1S7bq1SHAkLYgc1w7p4sss7RmDbGn SjMJe2tlGuLg1zxnlSG/ALsRWT4YTLKGcIk7f9PHX63XnLKvir42TLoIYpggDvK3Ndc2oek+ aNowCzDBez8lt9VQLRDjSu4Eu5JVucEo2JsWdoZ4ARTQlaiQJA0s/ABTTolAwR4BY6hkGxfM rC4NY95Btt+NXumlCd737dIgXnm0DgVn3UZnFn4lmMFH9s79OSGRYrM2zWJGCmAHbeYYRNz6 JziRApJANC7St1VaPxywpfW3A9ZZCgAZ7IKC/jpW9LGcPJXzjpThrrzoQwDjVtEXi6SCgj0P sU563yZUX7yPo2sUNXFeD4yU4aBclKjziqaBpuRtA9Up/x1Bk0l+MRpEmvLz0eRsus9VPhif h33P2Hg6Ho7zcQiSkCBIhNaF23xR1dYz/RPeIKhvmjlmxBcfYYV1K7cVLOgBrJECSoIHGAvi B43Jk6cVDFrjrgUjMIiddm5xLTh9QU4hVnGH7oh1zKBAAYwlQM5AHAe90UEyWS2JIY875Iqd XJVd6hAZ8k75hhI8s3/W8eyjjr6bloJQVitRQSq5x4ZBSIL9laSeuHeKwlhAz6Z+6K/saHwO B0vo/0PCTgbDi6nf/1/CQr8h0Yqdgv8otKc76Gz3hAa5QxvFRwoZ2Dqit1aMKjimBGuZ6AEf pD4Cvqy56Y9+FkelN1836tW4unfyo2Ph+fogOpynR49YmLR4A8CnvzPCyAhzR/RDGyqG2xIG +zosabgfu2PwzcRjpPt28RsAAP//AwBQSwECLQAUAAYACAAAACEATY7z/P0AAAC7AQAAEwAA AAAAAAAAAAAAAAAAAAAAW0NvbnRlbnRfVHlwZXNdLnhtbFBLAQItABQABgAIAAAAIQBw8Djc vgAAADgBAAALAAAAAAAAAAAAAAAAAC4BAABfcmVscy8ucmVsc1BLAQItABQABgAIAAAAIQBV CGGfsAIAALYHAAAhAAAAAAAAAAAAAAAAABUCAABkcnMvc2xpZGVMYXlvdXRzL3NsaWRlTGF5 b3V0MS54bWxQSwUGAAAAAAMAAwDJAAAABAUAAAAAoAAeBKYFAABQSwMEFAAGAAgAAAAhAE2O 8/z9AAAAuwEAABMAAABbQ29udGVudF9UeXBlc10ueG1sfJDLTsQwDEX3SPxDlC1q0mGBEGo7 Cx4rBCyGD7ASt43IS3E6mv49aWeQAA2sLD+uz7Wb7cFZtsdEJviWb0TNGXoVtPFDy993T9Ut Z5TBa7DBY8tnJL7tLi+a3RyRWFF7avmYc7yTktSIDkiEiL50+pAc5JKmQUZQHzCgvK7rG6mC z+hzlZcdvGsesIfJZvZ4KOWjk4SWOLs/Di6slkOM1ijIxance/2LUp0IoijXGRpNpKtig8uz hKXzN+Ckey2vSUYje4OUX8AVG1InkmRL8RnmMOUfyUb8v/aM79D3RqEOanLlJyImpBLXE5wV 30Bft8j19d0nAAAA//8DAFBLAwQUAAYACAAAACEAcPA43L4AAAA4AQAACwAAAF9yZWxzLy5y ZWxzhI/BCsIwEETvgv8Q9m7TehCRpr2IIHgS/YAl2bbBNgnZKPbvzdGC4HEY5s1M3b6nUbwo svVOQVWUIMhpb6zrFdxvp80eBCd0BkfvSMFMDG2zXtVXGjHlEA82sMgUxwqGlMJBStYDTciF D+Sy0/k4Ycoy9jKgfmBPcluWOxm/GdAsmOJsFMSzqUDc5pCb/7N911lNR6+fE7n0o0LyaA1d cPbPlLEYe0oKTORvYyGqIu8H2dRy8bf5AAAA//8DAFBLAwQUAAYACAAAACEAVxWVIHMCAADW BgAAIQAAAGRycy9zbGlkZUxheW91dHMvc2xpZGVMYXlvdXQxLnhtbKRVy27bMBC8F+g/ELwn SpyiKATbQes2veRh1ErvW4qOiFAkQTKq/fcdUpIDty5gtxc9qN3hzOwuNb3etJp10gdlzYxf nl9wJo2wtTJPM/5Y3Zx94CxEMjVpa+SMb2Xg1/O3b6auDLq+pa19iQwYJpQ0402MriyKIBrZ Uji3Thp8W1vfUsSrfypqTz+B3epicnHxvmhJGT7k+2Py7XqthPxsxUsrTexBvNQUwT80yoUR zR2D5rwMgMnZ+5Ti1kEtjInVhrMc5zusXPI5pIuVrpmhFguViloyGMS+I1gJ0qySm5jDgqu8 lCnBdF+9W7mlz9n33dIzVSe0AYUXw4chLL8ahOGh+C39aUSicrP27XxKJVxhmxlH8bbpiiQq QYKJflG8rorm4UCsaL4ciC7GDcBgtynq7npFf8qZjHJ6Uy53qvpQQuqtFc+BGQudSX4vT9x3 I1jSnOBdw/oSxOTvENd/zH6M8QGeZrPi5pOtt0n4D9zzIpU6xFXcapkNAW0qAY4L7NeUOlya s8cVOryNCy0JEzCYF+cLrcQzi5bJWkV2RyFKzzIZzAMgp3AnojgDpDT1kjx92yHX8uxjlXlT iZ1BemSIx97Cvxt5NRq511NsqUnIxuoaVCYJG504WvdP5iarOLNeYQj6bufoSzTNWJlTHE/H CFAkJdKJ3SH/US6mO70z+j/rkZo8lyPs1QNVydXuL+OWWdQJLbCSwmKuteykPgI+V+QE+KpR /nj0q97Ro/26sS8+NkeTf3cqvFofRMe5c/Ik5IHoT0o8prM1d7b2d+QeuqwYfxPM3yIvOfw/ 0F0p9DUkYYz/o/kvAAAA//8DAFBLAQItABQABgAIAAAAIQBNjvP8/QAAALsBAAATAAAAAAAA AAAAAAAAAAAAAABbQ29udGVudF9UeXBlc10ueG1sUEsBAi0AFAAGAAgAAAAhAHDwONy+AAAA OAEAAAsAAAAAAAAAAAAAAAAALgEAAF9yZWxzLy5yZWxzUEsBAi0AFAAGAAgAAAAhAFcVlSBz AgAA1gYAACEAAAAAAAAAAAAAAAAAFQIAAGRycy9zbGlkZUxheW91dHMvc2xpZGVMYXlvdXQx LnhtbFBLBQYAAAAAAwADAMkAAADHBAAAAACQAB4ElggAAFBLAwQUAAYACAAAACEATY7z/P0A AAC7AQAAEwAAAFtDb250ZW50X1R5cGVzXS54bWx8kMtOxDAMRfdI/EOULWrSYYEQajsLHisE LIYPsBK3jchLcTqa/j1pZ5AADawsP67PtZvtwVm2x0Qm+JZvRM0ZehW08UPL33dP1S1nlMFr sMFjy2ckvu0uL5rdHJFYUXtq+ZhzvJOS1IgOSISIvnT6kBzkkqZBRlAfMKC8rusbqYLP6HOV lx28ax6wh8lm9ngo5aOThJY4uz8OLqyWQ4zWKMjFqdx7/YtSnQiiKNcZGk2kq2KDy7OEpfM3 4KR7La9JRiN7g5RfwBUbUieSZEvxGeYw5R/JRvy/9ozv0PdGoQ5qcuUnIiakEtcTnBXfQF+3 yPX13ScAAAD//wMAUEsDBBQABgAIAAAAIQBw8DjcvgAAADgBAAALAAAAX3JlbHMvLnJlbHOE j8EKwjAQRO+C/xD2btN6EJGmvYggeBL9gCXZtsE2Cdko9u/N0YLgcRjmzUzdvqdRvCiy9U5B VZQgyGlvrOsV3G+nzR4EJ3QGR+9IwUwMbbNe1VcaMeUQDzawyBTHCoaUwkFK1gNNyIUP5LLT +ThhyjL2MqB+YE9yW5Y7Gb8Z0CyY4mwUxLOpQNzmkJv/s33XWU1Hr58TufSjQvJoDV1w9s+U sRh7SgpM5G9jIaoi7wfZ1HLxt/kAAAD//wMAUEsDBBQABgAIAAAAIQDj0HCMYwUAAOoQAAAh AAAAZHJzL3NsaWRlTGF5b3V0cy9zbGlkZUxheW91dDEueG1srFhNc9s2EL13pv+Bw2vHkfUt ayxnHLdpM6M4mkiZniEStFiDAAuAsuxf37cAKJGum1EVXWQSWDxgd9/uA339fleIaMu1yZWc xd13l3HEZaLSXD7M4m+rjxeTODKWyZQJJfksfuYmfn/z80/X5dSIdM6eVWUjYEgzZbN4Y205 7XRMsuEFM+9UySXmMqULZvGqHzqpZk/ALkSnd3k56hQsl3FYr49Zr7IsT/ivKqkKLq0H0Vww i/ObTV6aGq08Bq3U3ADGrW4fyT6X8LbMk9UujpyZ3mKgG9/A82Qp0kiyAgOLPLGV5tFTbjfR HSvpHM7GlCvNOVnL7e+6XJYL7Zbebxc6ylOCChBxJ0wEM/cqYYaHzqvlDzUSm+4yXdxcsyki Eu1mMRL3TL9YxKZ8Z6PEDyaH0WTz5Q3bZPPbG9adegOcYL8pcl56j/7tTq92Z5VbwaPu3itv yrB0rpJHE0kFP8l9715yv63ByGeCLzeRD78lqGDnJ108anvjYlofdB+J7viq15uAt/B8MAHL Ll9FZTiYjAYYjCg2w9Fo3J+4TWokbOKhy6ndfVDpM4V0jb/IHJPJRoGpa1rBpsLYpX0WyDOe t6KLE0VMPKCUBFjApinPvmLIvMxi8B1brmvP9/ZIchsHIWZTBAI/WCoYVSKXF9+WqMTC3gnO AB9csjd3Ik8eI6sinuY2+syM5TpygUPd4mSEbt0eDpLLdME0o0N55JRf3K6C+9gZvtc+uzBQ Pv476f066XUZLARL+EaJFIfoESqKpU7wSRRABcYoF3C5JsxpRBh1e+Px0Cetro4WDwbdLpEl RMIX1/eIgJ5p0WKUfomjJ83AaPN3xTSPI/FJmll81R0MkG/rXgbDcQ8vujmzbs7IqrhTwjUF bYV7hH1NNls/3llQDxOJKkpm53JZJrSGuFJqY1e7P5ku0a4Mjmbh5r1abljJnQHbzo2lmmva 0kqJ9nxbWZXlYdpTnabeonfB9NwdIpcpeic9kum6uodAuKJokL4P1oeQhvJwsFvRo0rxUC44 cOoYvN4hRcAjkIDXP+C5yB+LR33ABwV4BBLwBge8bn/cpR5y3AGpyveAhBIAhw3ACdrTaYCE EgBHB0C0OxzwpBMSSgAcNwDHA5e5E1wmlAA4OQASmmu5RyW5FUNCCYBXDcDRcHxiUgjl7aZ7 gEcsQc6vjucgxiu+71t8BKqv2HqJ9l6zDuXrrDmbyw/60ZV0pqS9daqwZoY6BC4cMkxjpw1a PO5Ei0omKCdfzoJqm9w2ZbJIbLRl1B0QmAO9GhYfePbaluSmZiIwDha3GeSgjduwC7Pr6k7o 1c6V87pavuwfP8IVp84ZGv0svtU5E+hHG6YNd70gLNk3A8vWvu/UYuiLIyS1IUePVZEX6q/c x9ypntcmp56ejlBPYrn7rWaxRMeh66nOH3EWqZbuKY4euabLLPWeKKHWHAypW2KIGh4T+Qv/ w71STkROl1s3t9BKZe65qbaOgZJ+pfqYCxFK3I0YJfKUBl1c6e7LET2fMrvzuoWAN614lvHE 1oGp5jIEuCKY8OxY0oj1L4W8EJaaCy547NUEZ34iMa8mEhPa0SHUXgP+r9YPaq1fkX42hb5P O/yo0JPoIJeopA0TWdB8d4WACp+m+cM+rnb+bne4ErdEf3KJq6Df5IjLn4v8D0tityU5dGN0 3DpZEh3NAx3PIYnUZAJlziOJV028MyhiC+8MgtjCO4MetvDOIIctvDOoYQvv+2IYpM8R39H0 9C8Sahrug8S0vkjoNvpWJ3JXb/8FjUf64HYtRujPrPyydWfBfxjwrYNOi6ES+kk1ANODCWHU /6O4+QcAAP//AwBQSwECLQAUAAYACAAAACEATY7z/P0AAAC7AQAAEwAAAAAAAAAAAAAAAAAA AAAAW0NvbnRlbnRfVHlwZXNdLnhtbFBLAQItABQABgAIAAAAIQBw8DjcvgAAADgBAAALAAAA AAAAAAAAAAAAAC4BAABfcmVscy8ucmVsc1BLAQItABQABgAIAAAAIQDj0HCMYwUAAOoQAAAh AAAAAAAAAAAAAAAAABUCAABkcnMvc2xpZGVMYXlvdXRzL3NsaWRlTGF5b3V0MS54bWxQSwUG AAAAAAMAAwDJAAAAtwcAAAAAgAAeBCoHAABQSwMEFAAGAAgAAAAhAE2O8/z9AAAAuwEAABMA AABbQ29udGVudF9UeXBlc10ueG1sfJDLTsQwDEX3SPxDlC1q0mGBEGo7Cx4rBCyGD7ASt43I S3E6mv49aWeQAA2sLD+uz7Wb7cFZtsdEJviWb0TNGXoVtPFDy993T9UtZ5TBa7DBY8tnJL7t Li+a3RyRWFF7avmYc7yTktSIDkiEiL50+pAc5JKmQUZQHzCgvK7rG6mCz+hzlZcdvGsesIfJ ZvZ4KOWjk4SWOLs/Di6slkOM1ijIxance/2LUp0IoijXGRpNpKtig8uzhKXzN+Ckey2vSUYj e4OUX8AVG1InkmRL8RnmMOUfyUb8v/aM79D3RqEOanLlJyImpBLXE5wV30Bft8j19d0nAAAA //8DAFBLAwQUAAYACAAAACEAcPA43L4AAAA4AQAACwAAAF9yZWxzLy5yZWxzhI/BCsIwEETv gv8Q9m7TehCRpr2IIHgS/YAl2bbBNgnZKPbvzdGC4HEY5s1M3b6nUbwosvVOQVWUIMhpb6zr Fdxvp80eBCd0BkfvSMFMDG2zXtVXGjHlEA82sMgUxwqGlMJBStYDTciFD+Sy0/k4Ycoy9jKg fmBPcluWOxm/GdAsmOJsFMSzqUDc5pCb/7N911lNR6+fE7n0o0LyaA1dcPbPlLEYe0oKTORv YyGqIu8H2dRy8bf5AAAA//8DAFBLAwQUAAYACAAAACEA2sOBtPcDAADLDQAAIQAAAGRycy9z bGlkZUxheW91dHMvc2xpZGVMYXlvdXQxLnhtbMxX3ZLaNhi970zeQeP7DRhjYD0LmZYmudls dgp5AGGLtRNZ9shaAn36nk+2WOPSYDa56A0YcXT0/Z5Pvnu3zyXbCV1lhZp7/tuhx4SKiyRT T3Pvy/rDzcxjleEq4bJQYu4dROW9W7z57a6MKpnc80PxbBg4VBXxuZcaU0aDQRWnIufV26IU Cv9tC51zg5/6aZBo/h3cuRyMhsPJIOeZ8pr9us/+YrvNYvFnET/nQpmaRAvJDeyv0qysHFvZ h63UogKN3X1qkjmU8LbYfF3vPWZheocF31vA83glE6Z4joVloQwY2PfMpGzJS7LDYqpyrYUg tNp91OWqfNR268PuUbMsIaqGwhs0fzQw+1MBhodBZ/uTY+LRfqvzxR2PEBG2n3tI3IE+sYlH Ym9YXC/GL6tx+vkMNk7fn0EP3AGw4Hgocl7WHv3bnZFzZ50ZKZh/9KqGcmy9L+JvFVMF/CT3 a/fih50jI5+JvkxZHX5DVA2u/tPGw+ErG1Nn6DES43CK2rLhGE2DYdiJSTAczgI/8BhFxvcn owbR9rhmLiOz/6NIDhTRDb6ROK7itEChbuo4y8qszEEizTySO+nDIMblEzpJogh4lIjtX1iq /p57MAk2bZzjRzxyjOcWDyLMI8QBH9gqOTWiUDdfVmjE3Cyl4KBvfDKLpczib8wUTCSZYZ94 ZYRmNm5oW1hG7MaeYSmFSh655mRUzZyIm9/XNsQ8wsmIr/MZj3W2/zvnCOJpFzxKHou0kAmM GBEresXl98oKyBLUryuS/skPwmlICaVmOJf90Pd9IOrsh7Mw8FEKVImujKzbdR26SLjs29Zq p6pJeSfTAVVfTdkC4HHU1Gu7KmZtrAMAG5zBjttYBwB2fAZL1Xa0wQGADS9hHQDYySWsAwA7 vYR1AGBnl7AOAOztJWwNONdD2MnAcGyWn+wp0lTbUtVJT+Fk27H1hzvSFu4VbbwScaESJsVO yB70treuoF+nme7PbhviCvYPxbPG9Otr/JgK8xr6bHuWHWPul6rZ2KnZmlLdljIbkNdLWT3M aIJAwjEKUi63Hu4AEDibSDvUSHLsw8pWPIkvLTlZOjfd/HEQ+nWfv4z8k/E2ntz6w8lPCxzL ub63V4xMJbjt0COZtnl+wKXQZrOlaf6JTtFMJCw6keStoXIzuhffiZ52NLLhu/XHdCrrxXei jR0dbfj8YOpP+hLe/kBrHd9sNCOp72XgCV9Hjxu+0WgG817D19Fsxzcd27F1vX0dXW/4iKx3 Qk787Wi/45uE09fl4/8xH9DZ7jZhLxi2190rAlbojcLelqT+xMvPO9syeIXCbW5pl0q8NNE8 B/QFQlTuJWzxDwAAAP//AwBQSwECLQAUAAYACAAAACEATY7z/P0AAAC7AQAAEwAAAAAAAAAA AAAAAAAAAAAAW0NvbnRlbnRfVHlwZXNdLnhtbFBLAQItABQABgAIAAAAIQBw8DjcvgAAADgB AAALAAAAAAAAAAAAAAAAAC4BAABfcmVscy8ucmVsc1BLAQItABQABgAIAAAAIQDaw4G09wMA AMsNAAAhAAAAAAAAAAAAAAAAABUCAABkcnMvc2xpZGVMYXlvdXRzL3NsaWRlTGF5b3V0MS54 bWxQSwUGAAAAAAMAAwDJAAAASwYAAAAAcAAeBHUEAABQSwMEFAAGAAgAAAAhAE2O8/z9AAAA uwEAABMAAABbQ29udGVudF9UeXBlc10ueG1sfJDLTsQwDEX3SPxDlC1q0mGBEGo7Cx4rBCyG D7ASt43IS3E6mv49aWeQAA2sLD+uz7Wb7cFZtsdEJviWb0TNGXoVtPFDy993T9UtZ5TBa7DB Y8tnJL7tLi+a3RyRWFF7avmYc7yTktSIDkiEiL50+pAc5JKmQUZQHzCgvK7rG6mCz+hzlZcd vGsesIfJZvZ4KOWjk4SWOLs/Di6slkOM1ijIxance/2LUp0IoijXGRpNpKtig8uzhKXzN+Ck ey2vSUYje4OUX8AVG1InkmRL8RnmMOUfyUb8v/aM79D3RqEOanLlJyImpBLXE5wV30Bft8j1 9d0nAAAA//8DAFBLAwQUAAYACAAAACEAcPA43L4AAAA4AQAACwAAAF9yZWxzLy5yZWxzhI/B CsIwEETvgv8Q9m7TehCRpr2IIHgS/YAl2bbBNgnZKPbvzdGC4HEY5s1M3b6nUbwosvVOQVWU IMhpb6zrFdxvp80eBCd0BkfvSMFMDG2zXtVXGjHlEA82sMgUxwqGlMJBStYDTciFD+Sy0/k4 Ycoy9jKgfmBPcluWOxm/GdAsmOJsFMSzqUDc5pCb/7N911lNR6+fE7n0o0LyaA1dcPbPlLEY e0oKTORvYyGqIu8H2dRy8bf5AAAA//8DAFBLAwQUAAYACAAAACEA/+70YUIBAABwAgAAIQAA AGRycy9zbGlkZUxheW91dHMvc2xpZGVMYXlvdXQxLnhtbIxSy07DMBC8I/EPlu/ULQeEoiaV eF6AVmr5gMVxmgi/tHZD8vds3AQE6qEXaz2eGe94vVx1RrNWYWiczfliNudMWenKxu5z/r57 urrlLESwJWhnVc57FfiquLxY+izo8gV6d4iMPGzIIOd1jD4TIshaGQgz55Wls8qhgUhb3IsS 4Yu8jRbX8/mNMNBYPurxHL2rqkaqBycPRtl4NEGlIVL/oW58mNz8OW4eVSCbpP7bUuw9pf3Q YD85SzRsCVjwgpLLrS6ZBUPAXWIMYPA7VGqobPuMfus3mLhv7QZZUw7aUcPFeDDS0tYSjQrx T76fnCDrKjTFEjJ6AtblnCbVDyuJIFNdZPIIyl9U1usTXFk/nmCL6QLq4OdSqqdYVA6xU+ca X8GvW8oHGc05KrxPkKfJHjPIX8rgMf2U4hsAAP//AwBQSwECLQAUAAYACAAAACEATY7z/P0A AAC7AQAAEwAAAAAAAAAAAAAAAAAAAAAAW0NvbnRlbnRfVHlwZXNdLnhtbFBLAQItABQABgAI AAAAIQBw8DjcvgAAADgBAAALAAAAAAAAAAAAAAAAAC4BAABfcmVscy8ucmVsc1BLAQItABQA BgAIAAAAIQD/7vRhQgEAAHACAAAhAAAAAAAAAAAAAAAAABUCAABkcnMvc2xpZGVMYXlvdXRz L3NsaWRlTGF5b3V0MS54bWxQSwUGAAAAAAMAAwDJAAAAlgMAAAAAYAAeBBIFAABQSwMEFAAG AAgAAAAhAE2O8/z9AAAAuwEAABMAAABbQ29udGVudF9UeXBlc10ueG1sfJDLTsQwDEX3SPxD lC1q0mGBEGo7Cx4rBCyGD7ASt43IS3E6mv49aWeQAA2sLD+uz7Wb7cFZtsdEJviWb0TNGXoV tPFDy993T9UtZ5TBa7DBY8tnJL7tLi+a3RyRWFF7avmYc7yTktSIDkiEiL50+pAc5JKmQUZQ HzCgvK7rG6mCz+hzlZcdvGsesIfJZvZ4KOWjk4SWOLs/Di6slkOM1ijIxance/2LUp0IoijX GRpNpKtig8uzhKXzN+Ckey2vSUYje4OUX8AVG1InkmRL8RnmMOUfyUb8v/aM79D3RqEOanLl JyImpBLXE5wV30Bft8j19d0nAAAA//8DAFBLAwQUAAYACAAAACEAcPA43L4AAAA4AQAACwAA AF9yZWxzLy5yZWxzhI/BCsIwEETvgv8Q9m7TehCRpr2IIHgS/YAl2bbBNgnZKPbvzdGC4HEY 5s1M3b6nUbwosvVOQVWUIMhpb6zrFdxvp80eBCd0BkfvSMFMDG2zXtVXGjHlEA82sMgUxwqG lMJBStYDTciFD+Sy0/k4Ycoy9jKgfmBPcluWOxm/GdAsmOJsFMSzqUDc5pCb/7N911lNR6+f E7n0o0LyaA1dcPbPlLEYe0oKTORvYyGqIu8H2dRy8bf5AAAA//8DAFBLAwQUAAYACAAAACEA yj86Td8BAADCAwAAIQAAAGRycy9zbGlkZUxheW91dHMvc2xpZGVMYXlvdXQxLnhtbIxTy27b MBC8F+g/ELw7snMoCsFWkLqPSxIbtfMBG3JtCaFIgtyo0t93SUlOHznkwsdydrgzXK5v+taI DkNsnN3I1dVSCrTK6caeN/Lx+H3xWYpIYDUYZ3EjB4zypvr4Ye3LaPQdDO6FBHPYWMJG1kS+ LIqoamwhXjmPls9OLrRAvA3nQgf4xdytKa6Xy09FC42VU354T747nRqFX516adHSSBLQAHH9 sW58nNn8e9h8wMg0OfvvkmjwrJYaMrizZpAiQ0PHwZWsWL06GC0stBw4JpTIsHQS/TEgppXt fgR/8PuQEx66fRCNTgRToiymgwmWt5ZhvCj+ST/PTFD2p9BWayjZC9FvJD/ZkEZOghJ7EmoM qteoqndvYFX97Q10MV/AFVwuTapGRf/LuZ7ljD6sLqpGKHDqnVPPUVjHOpP8UZ566GaypDnR +1r8YfyEGw+zHzM+sqfZLOq/OD0k4U885yCUJtKBBoPZEC4bSibnge03kPoa7eLxwH3d0tYg cN9P5lG1NY16FuQE6obEPUTCIHIX8C9gyjW7Q/w4EyVavYcAPy/MGhe3x1w3lHwzFz1XyMtk YZ7G/uBlaqLcAibcg991uU7+OXzrNoc8/5XJrVdI4pj/XvUbAAD//wMAUEsBAi0AFAAGAAgA AAAhAE2O8/z9AAAAuwEAABMAAAAAAAAAAAAAAAAAAAAAAFtDb250ZW50X1R5cGVzXS54bWxQ SwECLQAUAAYACAAAACEAcPA43L4AAAA4AQAACwAAAAAAAAAAAAAAAAAuAQAAX3JlbHMvLnJl bHNQSwECLQAUAAYACAAAACEAyj86Td8BAADCAwAAIQAAAAAAAAAAAAAAAAAVAgAAZHJzL3Ns aWRlTGF5b3V0cy9zbGlkZUxheW91dDEueG1sUEsFBgAAAAADAAMAyQAAADMEAAAAAFAAHgSq BwAAUEsDBBQABgAIAAAAIQBNjvP8/QAAALsBAAATAAAAW0NvbnRlbnRfVHlwZXNdLnhtbHyQ y07EMAxF90j8Q5QtatJhgRBqOwseKwQshg+wEreNyEtxOpr+PWlnkAANrCw/rs+1m+3BWbbH RCb4lm9EzRl6FbTxQ8vfd0/VLWeUwWuwwWPLZyS+7S4vmt0ckVhRe2r5mHO8k5LUiA5IhIi+ dPqQHOSSpkFGUB8woLyu6xupgs/oc5WXHbxrHrCHyWb2eCjlo5OElji7Pw4urJZDjNYoyMWp 3Hv9i1KdCKIo1xkaTaSrYoPLs4Sl8zfgpHstr0lGI3uDlF/AFRtSJ5JkS/EZ5jDlH8lG/L/2 jO/Q90ahDmpy5SciJqQS1xOcFd9AX7fI9fXdJwAAAP//AwBQSwMEFAAGAAgAAAAhAHDwONy+ AAAAOAEAAAsAAABfcmVscy8ucmVsc4SPwQrCMBBE74L/EPZu03oQkaa9iCB4Ev2AJdm2wTYJ 2Sj2783RguBxGObNTN2+p1G8KLL1TkFVlCDIaW+s6xXcb6fNHgQndAZH70jBTAxts17VVxox 5RAPNrDIFMcKhpTCQUrWA03IhQ/kstP5OGHKMvYyoH5gT3JbljsZvxnQLJjibBTEs6lA3OaQ m/+zfddZTUevnxO59KNC8mgNXXD2z5SxGHtKCkzkb2MhqiLvB9nUcvG3+QAAAP//AwBQSwME FAAGAAgAAAAhABk/b7p3BAAAQBcAACEAAABkcnMvc2xpZGVMYXlvdXRzL3NsaWRlTGF5b3V0 MS54bWzsWNuS4jYQfU9V/kHl91mwMZehBrYSks3L7MxUYD9A2GLsrC05smAgX5/utgTm4i0P m6qkKrwYIR8d90V93NbDx22esY3QZarkxPM/dD0mZKTiVL5OvC+LT3cjj5WGy5hnSoqJtxOl 93H64w8PxbjM4ke+U2vDgEOWYz7xEmOKcadTRonIeflBFULCvZXSOTfwV792Ys3fgDvPOkG3 O+jkPJWeXa/brFerVRqJX1S0zoU0FYkWGTdgf5mkRenYijZshRYl0NDqY5PMrgBvzZtabBdv 6nn5h8cIrDcw7XtT8D+aZzGTPIeJmcoLrtNSSbpTFgstBGLk5jddzIsXTQueNi+apTES2IVe x96wMPorAQaDzsnyV8fEx9uVzqcPfAzRYNuJB0nb4RUW8bHYGhZVk9FhNkqeL2Cj5NcL6I57 AFiwfyjku6g8OncncO4sUpMJ5u+9qqAclj6q6GvJpAI/0f3Kvehp48jQZ6QvEmZDj1QWV92k eDh8CTGlYJntzyreoeNL+KVJPs5KMze7DFIA403mUwL4OBar36vQ1qbB2zocnORjMAUukKyM Yx0IefdlDnWQm1kmONSJDbWZzrI0+sqMYiJODfvMSyM0MxSFEg14AHYDqbSUQsYvXHMwwjLH 4u6nBXnJx/BkcNH5A8Mq4M1h7+3Djjl/yXgkEpXFYEGAlLBDXXyvygDG04PtCnvJJawhERit ky0Z9odQ4LQv/X6v7/s9NOmwO8Nu2PVHIC64Rwe9++GAbK5vPUwxeuEi4jLMuIwSBWqxrCjr 2bPJZjnXj1QXqYyhwHGIT1+un0DFyJBqL7Dyr4kXhGjp0rlZ2xs0DMAOS+i8asXaPWdFKrQD zOwdWO/9kCxow+qPzlmRyrKGB1a/N/QHCG5FS8jjECCXpe3XaEfBiGy4lha5LO3gQBsEIzDh O6xFLks7rNEOwx7tw2utRS5LOzrQImf7lF2ILXJZ2vsa7aA//K6UIRepTb0mSNHwIbDr9tJF T79e4VBwSODKI4WD8n23ioVOxWZKGqjVIyEj1bheyLC6E56trIxVEoOvVQoTDuYUMdTaKiHN Mhb4w3A07H9Dxnr3fR+KAxFtdIxkqJ6oszfVQZ0qyhoAhk5M6kqGJbTHOgBgnUTUsKQke6wD ANbVfR2Lu3KPdQDAumJuxDoAYF2FNmIdALCu7BqxDgBYV0uNWAcAbFUgrhOg+JJI7n37b1QQ lRFcXNHS+/cdbclcRErGLBMbkV0o0FN6qot30C+SVLdnt2/+1orzSa21SVobH1YV2Z4+XV1k h97kH+3O+k7XFqfdGVl8vahV/XHVnaHA/bnmGtpOq3EUbWqVW2vcIOx3AzAXOrGmXs0fgvLd erWJd+vVoF++9WoTr/d/7NUGTtMu9WrUGl0va+dSRjp5tZQ19WsHKbv1axjz4/7n1q81nOl8 84vntKG69Wt4hFZ9DZ7G5t/s1+hQrTqbhSEe4NIxWaY/8+J5Qy0knFtDMzWjqQJOqvHLAKAH CHK4k+/p3wAAAP//AwBQSwECLQAUAAYACAAAACEATY7z/P0AAAC7AQAAEwAAAAAAAAAAAAAA AAAAAAAAW0NvbnRlbnRfVHlwZXNdLnhtbFBLAQItABQABgAIAAAAIQBw8DjcvgAAADgBAAAL AAAAAAAAAAAAAAAAAC4BAABfcmVscy8ucmVsc1BLAQItABQABgAIAAAAIQAZP2+6dwQAAEAX AAAhAAAAAAAAAAAAAAAAABUCAABkcnMvc2xpZGVMYXlvdXRzL3NsaWRlTGF5b3V0MS54bWxQ SwUGAAAAAAMAAwDJAAAAywYAAAAAQAAeBFAGAABQSwMEFAAGAAgAAAAhAE2O8/z9AAAAuwEA ABMAAABbQ29udGVudF9UeXBlc10ueG1sfJDLTsQwDEX3SPxDlC1q0mGBEGo7Cx4rBCyGD7AS t43IS3E6mv49aWeQAA2sLD+uz7Wb7cFZtsdEJviWb0TNGXoVtPFDy993T9UtZ5TBa7DBY8tn JL7tLi+a3RyRWFF7avmYc7yTktSIDkiEiL50+pAc5JKmQUZQHzCgvK7rG6mCz+hzlZcdvGse sIfJZvZ4KOWjk4SWOLs/Di6slkOM1ijIxance/2LUp0IoijXGRpNpKtig8uzhKXzN+Ckey2v SUYje4OUX8AVG1InkmRL8RnmMOUfyUb8v/aM79D3RqEOanLlJyImpBLXE5wV30Bft8j19d0n AAAA//8DAFBLAwQUAAYACAAAACEAcPA43L4AAAA4AQAACwAAAF9yZWxzLy5yZWxzhI/BCsIw EETvgv8Q9m7TehCRpr2IIHgS/YAl2bbBNgnZKPbvzdGC4HEY5s1M3b6nUbwosvVOQVWUIMhp b6zrFdxvp80eBCd0BkfvSMFMDG2zXtVXGjHlEA82sMgUxwqGlMJBStYDTciFD+Sy0/k4Ycoy 9jKgfmBPcluWOxm/GdAsmOJsFMSzqUDc5pCb/7N911lNR6+fE7n0o0LyaA1dcPbPlLEYe0oK TORvYyGqIu8H2dRy8bf5AAAA//8DAFBLAwQUAAYACAAAACEAHwwjFh0DAABxDQAAIQAAAGRy cy9zbGlkZUxheW91dHMvc2xpZGVMYXlvdXQxLnhtbOxX23LaMBB970z/QeP3xFwMJR4g09Km L7kwhXyAYovYjSx5JMWBfn2PZIuQhBSY5pEXW5bPHu0e7a7l4fmy4KRiSudSjIL2aSsgTCQy zcX9KLidX5wMAqINFSnlUrBRsGI6OB9//jQsY83TS7qSj4aAQ+iYjoLMmDIOQ51krKD6VJZM 4N1CqoIaPKr7MFX0CdwFDzutVj8saC6Cxl7tYy8Xizxh32XyWDBhahLFODXwX2d5qT1buQ9b qZgGjbN+6ZJZlYjWPMmbu98BcThVYaYdjBF6MuMpEbTAxPxJkokUBjTulS7nijELEtVPVc7K qXIW19VUkTy1DI1lEDYvGph7FIBhEL4yv/dMNF4uVDEe0hhKkOUowIat7BVGNGZLQ5J6Mnme TbKbLdgk+7EFHfoF4MF6Uex1WUf0NpyOD2eeG85Iex1VDaUwvZTJgyZCIk4bfh1ecl15Mhuz pS8z0shuqRpc/dLp4fEamjqxzPKbTFc28Dvc3SSNuTYzs+LMCQK3aQxyXCA/pzarmTi5nSGr CzPhjCLrG/HMeMLz5IEYSViaG3JFtWGKGBeXtpRDqGOwOQ0lE+mUKvprzZyyk69z5zeNsTKc 9h5iWEv4vpBdL2STTWTKacIyyVM40bGsyDsv2oGy6j+oBsoXATIQ6eH34B1trVyvsizqfUG9 ulRr91stO3b6+oSLWt0B5gNi0y7qdXpn/W4jRM3kBKi32Wuyddfs2rzibVc2NE7Zwspr/e8M 6kWh/gYAw84WbLSJ9QBgu1uwrU2sBwAbvcW2X/jgAcD2dmE9ANj+LqwHAPtlF9YDgB3swnoA sGe7sDXAat2Uk90YV02wJGBYl81/VpfNIFdc+kV1YeV6NbeuX9Il7gEFPWOJFCnhrGJ8D3pX ZQfQz7Nc7c/uCuIA9gv5qEy2t/NRXZF7b8dFvtjKjq/Ih/a16F99zWnyYX3N7Z/7VNhO4wab 34xtfa0fDY6NDV+EY2OLj41tfRA6NrbmwOZu9YEeQ3vsd8cwrq5oeVO5XosfHRwTJ26qxK8N zkUW+gyxHP5XafwXAAD//wMAUEsBAi0AFAAGAAgAAAAhAE2O8/z9AAAAuwEAABMAAAAAAAAA AAAAAAAAAAAAAFtDb250ZW50X1R5cGVzXS54bWxQSwECLQAUAAYACAAAACEAcPA43L4AAAA4 AQAACwAAAAAAAAAAAAAAAAAuAQAAX3JlbHMvLnJlbHNQSwECLQAUAAYACAAAACEAHwwjFh0D AABxDQAAIQAAAAAAAAAAAAAAAAAVAgAAZHJzL3NsaWRlTGF5b3V0cy9zbGlkZUxheW91dDEu eG1sUEsFBgAAAAADAAMAyQAAAHEFAAAAADAAHgS0BgAAUEsDBBQABgAIAAAAIQBNjvP8/QAA ALsBAAATAAAAW0NvbnRlbnRfVHlwZXNdLnhtbHyQy07EMAxF90j8Q5QtatJhgRBqOwseKwQs hg+wEreNyEtxOpr+PWlnkAANrCw/rs+1m+3BWbbHRCb4lm9EzRl6FbTxQ8vfd0/VLWeUwWuw wWPLZyS+7S4vmt0ckVhRe2r5mHO8k5LUiA5IhIi+dPqQHOSSpkFGUB8woLyu6xupgs/oc5WX HbxrHrCHyWb2eCjlo5OElji7Pw4urJZDjNYoyMWp3Hv9i1KdCKIo1xkaTaSrYoPLs4Sl8zfg pHstr0lGI3uDlF/AFRtSJ5JkS/EZ5jDlH8lG/L/2jO/Q90ahDmpy5SciJqQS1xOcFd9AX7fI 9fXdJwAAAP//AwBQSwMEFAAGAAgAAAAhAHDwONy+AAAAOAEAAAsAAABfcmVscy8ucmVsc4SP wQrCMBBE74L/EPZu03oQkaa9iCB4Ev2AJdm2wTYJ2Sj2783RguBxGObNTN2+p1G8KLL1TkFV lCDIaW+s6xXcb6fNHgQndAZH70jBTAxts17VVxox5RAPNrDIFMcKhpTCQUrWA03IhQ/kstP5 OGHKMvYyoH5gT3JbljsZvxnQLJjibBTEs6lA3OaQm/+zfddZTUevnxO59KNC8mgNXXD2z5Sx GHtKCkzkb2MhqiLvB9nUcvG3+QAAAP//AwBQSwMEFAAGAAgAAAAhADjOm+OBAwAAYgwAACEA AABkcnMvc2xpZGVMYXlvdXRzL3NsaWRlTGF5b3V0MS54bWzMl8tu2zgUhvcF+g6E9qkl+SJH iF10MtOZRZIGY/cBGIqOhVKUQDIeu0/f/5CUL50UMIIiyMaWqcOf37mR9NXHbaPYRhpbt3qW ZB/ShEkt2qrWj7Pk6/LzxTRh1nFdcdVqOUt20iYf5+/fXXWlVdUN37VPjkFD25LPkrVzXTkY WLGWDbcf2k5qvFu1puEOP83joDL8P2g3apCn6WTQ8Foncb45Z367WtVC/tmKp0ZqF0SMVNyB 367rzvZq3TlqnZEWMn72KZLbdfDWSvGP5FXCvKHZYChL5vBdLFTFNG8wsJCCFmdkKI1/a7ul kZLs9OZv0y26e+Mn3W3uDasrEomTk0F8Ec38Tw0zPAx+mv7YK/FyuzLN/IqXiAbbzhIkbUef mMRLuXVMhEFxGBXrL8/YivVfz1gP+gVAsF8U+e6CR/93J+/dWdZOSZbtvQqmHFNvWvHNMt3C T3I/uCfuNr0Y+Uzy3ZqF0DuSinbhpY9Hb299THvQfSSKPB9mQx+O0SidXKY/BaUoinyEQUah yYaTPC3GfpFeCYsE6a502z/aakchfcA3Mse1WLeoUkczeKmsW7idQp7xvFEZiBhXj2gjhSrg ZSVX/2LIfp8lWBJrPvjEC44IcKXisnEm0n2qiGDzEiHBB0QUp36U+uLrAv3YuGslORaK3rn5 tarFN+ZaJqvasVtunTTMhxDdC0ZSd34NLyl1dc8NJ7ygXMmLT8tIhJURhd57HxDKzK/Tj3iH VlhS7d0rLuS6VWgGlpMkuqXP84sqgaKfoG1Q033hvKgg8st0UqA4TrrktCDGaZpNixiH0GTn FMRD0HyuIBpubnyD1rrCTkOPlNOHpztsp57kqEywJYbXtlV19blWimz9biqvlWEbrlB9W9qC kM5auzBSANtXApK8N/bJPtLBu7BSqLRQr6SDAsypdAPpaFyAAuE+AzebviIuMUbc4QH3MkOb n4s7eUVcYoy4owNuNiwyojgvvOQZaRxl8SjBv7caCDLyjo94p/mUkvz2eAky8k4OvHk+RXjf Ii9BRt7iiLcYDc9vt9esB4KMvNMDL8Ge32+vyUuQkffyiHcyLt5mvxFk2ImPbhH+zCd67Mn7 w9279fI7AB3J/gpgT+4AOA6ePef9cRdur3ika64/wJW55d2XjWfBzR63C5xHGOpwl8cpRqYH E9Lo/xvMfwAAAP//AwBQSwECLQAUAAYACAAAACEATY7z/P0AAAC7AQAAEwAAAAAAAAAAAAAA AAAAAAAAW0NvbnRlbnRfVHlwZXNdLnhtbFBLAQItABQABgAIAAAAIQBw8DjcvgAAADgBAAAL AAAAAAAAAAAAAAAAAC4BAABfcmVscy8ucmVsc1BLAQItABQABgAIAAAAIQA4zpvjgQMAAGIM AAAhAAAAAAAAAAAAAAAAABUCAABkcnMvc2xpZGVMYXlvdXRzL3NsaWRlTGF5b3V0MS54bWxQ SwUGAAAAAAMAAwDJAAAA1QUAAAAAIAAeBIsFAABQSwMEFAAGAAgAAAAhAE2O8/z9AAAAuwEA ABMAAABbQ29udGVudF9UeXBlc10ueG1sfJDLTsQwDEX3SPxDlC1q0mGBEGo7Cx4rBCyGD7AS t43IS3E6mv49aWeQAA2sLD+uz7Wb7cFZtsdEJviWb0TNGXoVtPFDy993T9UtZ5TBa7DBY8tn JL7tLi+a3RyRWFF7avmYc7yTktSIDkiEiL50+pAc5JKmQUZQHzCgvK7rG6mCz+hzlZcdvGse sIfJZvZ4KOWjk4SWOLs/Di6slkOM1ijIxance/2LUp0IoijXGRpNpKtig8uzhKXzN+Ckey2v SUYje4OUX8AVG1InkmRL8RnmMOUfyUb8v/aM79D3RqEOanLlJyImpBLXE5wV30Bft8j19d0n AAAA//8DAFBLAwQUAAYACAAAACEAcPA43L4AAAA4AQAACwAAAF9yZWxzLy5yZWxzhI/BCsIw EETvgv8Q9m7TehCRpr2IIHgS/YAl2bbBNgnZKPbvzdGC4HEY5s1M3b6nUbwosvVOQVWUIMhp b6zrFdxvp80eBCd0BkfvSMFMDG2zXtVXGjHlEA82sMgUxwqGlMJBStYDTciFD+Sy0/k4Ycoy 9jKgfmBPcluWOxm/GdAsmOJsFMSzqUDc5pCb/7N911lNR6+fE7n0o0LyaA1dcPbPlLEYe0oK TORvYyGqIu8H2dRy8bf5AAAA//8DAFBLAwQUAAYACAAAACEASYBVolgCAACfBgAAIQAAAGRy cy9zbGlkZUxheW91dHMvc2xpZGVMYXlvdXQxLnhtbKyV32/bIBDH3yftf0C8p07SaZqsJNWW rXvpj6hJ/4ArvsSsGBBQL/7vd2CTqlsmJdpesIG7L3efO5vZ1b5RrEXnpdFzPrkYc4ZamErq 3Zw/bq5HnzjzAXQFymic8w49v1q8fzezpVfVDXTmJTDS0L6EOa9DsGVReFFjA/7CWNS0tzWu gUBTtysqBz9Ju1HFdDz+WDQgNR/83Sn+ZruVAr8a8dKgDr2IQwWB4ve1tD6r2VPUrENPMsn7 bUihs5StefrBWTJyLU0nfEF5i7WqmIaGFjYyKGREhy2NDqSUDLzdOMRoqtvvzq7tyiW/u3bl mKyizuDPi2FjMEtTTWb0UvzmvstKUO63rlnMoCQYbD/nVLMujuQEJe4DE/2ieF0V9f0RW1F/ O2Jd5AMogsOhVG7bZ/RnOtOcTo9jcsiqNwVyvTHi2TNtKM+Yfp+euGuzWMw5ytua9eRDJDvY 9ZuJR7b3xDTBCvsvpupi4k/0TItQKh/WoVOYgFDYUJI4DYRfQWxs1KPHNTV2E5YKgRp/gBcW SyXFMwuGYSUDuwUf0LEUDH0GJDkjOoGKM0iirlbg4OGgXOHo8ybFDSWdTEHnCOm1R/h3kJcZ 5NBNbKVAYG1URUFMoyp1X4Z2JlZZUVNk8v+BKBWAqVYd0P0j4di2CbB/Q5g4p/r1Qz4ypXFG UdcoDH2jCltUJ8gn0mfIb2rpTle/jHU8Q/3avLhQnxz8h3Pl5faoOv1Jzu7t1OL9v49e438y daxyt2Dv29QhdC3QF7VMS5YuAmIRTV9Noka+WBa/AAAA//8DAFBLAQItABQABgAIAAAAIQBN jvP8/QAAALsBAAATAAAAAAAAAAAAAAAAAAAAAABbQ29udGVudF9UeXBlc10ueG1sUEsBAi0A FAAGAAgAAAAhAHDwONy+AAAAOAEAAAsAAAAAAAAAAAAAAAAALgEAAF9yZWxzLy5yZWxzUEsB Ai0AFAAGAAgAAAAhAEmAVaJYAgAAnwYAACEAAAAAAAAAAAAAAAAAFQIAAGRycy9zbGlkZUxh eW91dHMvc2xpZGVMYXlvdXQxLnhtbFBLBQYAAAAAAwADAMkAAACsBAAAAAAQAB4EXwYAAFBL AwQUAAYACAAAACEATY7z/P0AAAC7AQAAEwAAAFtDb250ZW50X1R5cGVzXS54bWx8kMtOxDAM RfdI/EOULWrSYYEQajsLHisELIYPsBK3jchLcTqa/j1pZ5AADawsP67PtZvtwVm2x0Qm+JZv RM0ZehW08UPL33dP1S1nlMFrsMFjy2ckvu0uL5rdHJFYUXtq+ZhzvJOS1IgOSISIvnT6kBzk kqZBRlAfMKC8rusbqYLP6HOVlx28ax6wh8lm9ngo5aOThJY4uz8OLqyWQ4zWKMjFqdx7/YtS nQiiKNcZGk2kq2KDy7OEpfM34KR7La9JRiN7g5RfwBUbUieSZEvxGeYw5R/JRvy/9ozv0PdG oQ5qcuUnIiakEtcTnBXfQF+3yPX13ScAAAD//wMAUEsDBBQABgAIAAAAIQBw8DjcvgAAADgB AAALAAAAX3JlbHMvLnJlbHOEj8EKwjAQRO+C/xD2btN6EJGmvYggeBL9gCXZtsE2Cdko9u/N 0YLgcRjmzUzdvqdRvCiy9U5BVZQgyGlvrOsV3G+nzR4EJ3QGR+9IwUwMbbNe1VcaMeUQDzaw yBTHCoaUwkFK1gNNyIUP5LLT+ThhyjL2MqB+YE9yW5Y7Gb8Z0CyY4mwUxLOpQNzmkJv/s33X WU1Hr58TufSjQvJoDV1w9s+UsRh7SgpM5G9jIaoi7wfZ1HLxt/kAAAD//wMAUEsDBBQABgAI AAAAIQCyIpdOLAMAAA4MAAAhAAAAZHJzL3NsaWRlTGF5b3V0cy9zbGlkZUxheW91dDEueG1s zJbJbtswEIbvBfoOhO6JFi9SBNtBmza9ZEOdPAAj0bYQiiJIWrXfvjNcbKdNgaDIQRebooaj b+afITm73LWc9EzpphPzKD1PIsJE1dWNWM+jp8frsyIi2lBRU94JNo/2TEeXi8+fZrLUvL6h +25rCPgQuqTzaGOMLONYVxvWUn3eSSbg3apTLTXwqNZxregv8N3yOEuSadzSRkR+vXrP+m61 air2rau2LRPGOVGMUwP8etNIHbzJ93iTimlwY1e/RjJ7CdGaxnAWEWumephIowVEXi15TQRt YeIRLciSNzWzr7R8VIyhkeh/KLmUD8quuOsfFGlq9OBXRrF/4c3sowAzGMR/LF8HT7TcrVS7 mNESEkF28wj02uMvLKIl2xlSucnqOFtt7t+wrTbf37COwweA4PBRkFq6iP4OJwvhuESkh6ic KYWlN131oonoIE4M34VX3fXBGcaM7uWGuKxXRllv3tS9tykJS7RNa2A9JGNaTIrEZSRLR8k4 m7zOS57n2RgNMDvpOE8SZ3EatXMtS7P72tV7zOoz/FtVaMm1WZo9ZzbbkBNaAjn8gLacYscw cfa0hI5pzRVnFDrKK2MWV7ypXojpCKsbQ26pNkwRY6tHo8sZQBhQ3rtkon6giv48eK7Z2ZdH mxFawpchHYEQhk6ff6s0Ciott8/umxm6gkoOMvyXUHr77ISCyoayC9q+X7B0lKdTr9ioKKaw J7xWbApyWUmtYvkkQ2usoKC9Dd7VT8jHm4qhTLznKRQOaam6sZ3TiBq63w4pX4NaUHnQxeBg ewe7nVW5ZisQASd1B11+3XBuH3CLY1dckZ5y2Ch2uDOAgo0wbiafJAdUux+isQU/8QNhBP8w 9HzoB4bZEXU8yTEzZHi8COl5R0fei3Rs22x4vAjpecdH3kMZDg8YKT3w5AS4yArbFsMDRkoP PD0CZ1kBnTvIEkZKD5yfAOfj0UB7Dik9cHEERtqBNh1SeuCLE+DpJLd7//BqGCntVh3Oe6T/ gOMezsuPPPHt2eeumzDES6k90rm6pfK+tymHWzjcM+DkgSkJ9248OsH0aII+wj1+8RsAAP// AwBQSwECLQAUAAYACAAAACEATY7z/P0AAAC7AQAAEwAAAAAAAAAAAAAAAAAAAAAAW0NvbnRl bnRfVHlwZXNdLnhtbFBLAQItABQABgAIAAAAIQBw8DjcvgAAADgBAAALAAAAAAAAAAAAAAAA AC4BAABfcmVscy8ucmVsc1BLAQItABQABgAIAAAAIQCyIpdOLAMAAA4MAAAhAAAAAAAAAAAA AAAAABUCAABkcnMvc2xpZGVMYXlvdXRzL3NsaWRlTGF5b3V0MS54bWxQSwUGAAAAAAMAAwDJ AAAAgAUAAAAAAAAcBAQAAAABAAAAIAC6DxgAAABPAGYAZgBpAGMAZQAgAFQAaABlAG0AZQAP AO4D9QsAAAIA7wMYAAAAEAAAAAAAAAAAAAAAAAAAgAAAAAAHAAAADwAMBFULAAAPAALwTQsA ANAACPAIAAAAAwAAAAMIAAAPAAPwNQsAAA8ABPAoAAAAAQAJ8BAAAAAAAAAAAAAAAAAAAAAA AAAAAgAK8AgAAAAACAAABQAAAA8ABPA5AQAAEgAK8AgAAAACCAAAIAIAAAMBC/BwAAAABAAA AAAAfwABAO8BgABAEgAFgQAwZQEAggCYsgAAgwAwZQEAhACYsgAAhQAAAAAAhwABAAAAiAAA AAAAvwAEAAQA/wEQABEAAQMCBAAAPwMAAAgAgMMQAAAAvwMAAAIAVABpAHQAbABlACAAMQAA AAAAEPAIAAAAPgWwAdAU3AgPABHwHAAAAAAAwwsIAAAA/////w8AMWkAAB8EBAAAAAIAAAAP AA3wdQAAAAAAnw8EAAAABgAAAAAAqA8dAAAARGF0YSBNb2RlbGluZwtJRVRGNjggLSBQcmFn dWUAAKEPJgAAAB4AAAAAAAAACgAHAA4AAAAAAAAADwAAAAAAAgAgAAEAAAAAAAAAAACqDw4A AAAeAAAABwAAAAAABwwAAA8ABPC8CQAAEgAK8AgAAAADCAAAIAIAAAMBC/B2AAAABAAAAAAA fwABAO8BgACg6AAFgQAwZQEAggCYsgAAgwAwZQEAhACYsgAAhQAAAAAAhwAAAAAAiAAAAAAA vwAEAAQA/wEQABEAAQMDBAAAPwMAAAgAgMMWAAAAvwMAAAIAUwB1AGIAdABpAHQAbABlACAA MgAAABMAIvEeCAAAqcMYCAAAUEsDBBQABgAIAAAAIQBa4xFm/gAAAOIBAAATAAAAW0NvbnRl bnRfVHlwZXNdLnhtbJSRTU/EIBCG7yb+BzJX01I9GGNK92D1qEbXHzCBaUu2BcJg3f330v24 GNfEI8y8z/sE6tV2GsVMka13Cq7LCgQ57Y11vYKP9VNxB4ITOoOjd6RgRwyr5vKiXu8Cschp xwqGlMK9lKwHmpBLH8jlSefjhCkfYy8D6g32JG+q6lZq7xK5VKSFAU3dUoefYxKP23x9MIk0 MoiHw+LSpQBDGK3GlE3l7MyPluLYUObkfocHG/gqa4D8tWGZnC845l7y00RrSLxiTM84ZQ1p Ikvjv1ykufwbslhOXPius5rKNnKbY280n6zO0XnAQBn9X/z7kjvB5f6Hmm8AAAD//wMAUEsD BBQABgAIAAAAIQAx3V9h0gAAAI8BAAALAAAAX3JlbHMvLnJlbHOkkMFqwzAMhu+DvYPRvXHa QxmjTm+FXksHuwpbSUxjy1gmbd++pjBYRm876hf6PvHv9rcwqZmyeI4G1k0LiqJl5+Ng4Ot8 WH2AkoLR4cSRDNxJYN+9v+1ONGGpRzL6JKpSohgYS0mfWosdKaA0nCjWTc85YKljHnRCe8GB 9KZttzr/ZkC3YKqjM5CPbgPqfE/V/IcdvM0s3JfGctDc996+omrH13iiuVIwD1QMuCzPMNPc 1OdAv/au/+mVERN9V/5C/Eyr9cesFzV2DwAAAP//AwBQSwMEFAAGAAgAAAAhANZapvyyAwAA DRIAABAAAABkcnMvc2hhcGV4bWwueG1s7FhNb+M2EL0X6H8geC2y/ljHToTYCydA2gJGYMQu ejRGEhWrpkiVpLx2fn0fSSn2Bj0Uu+juxT5YQ3I4nHlvHuXk7tOhkmwvjC21mvLBhz5nQmU6 L9XLlP+xfry64cw6UjlJrcSUH4Xln2Y//3RXJ7Zm2KxsUk/51rk66fVsthUV2Q+6FgprhTYV OQzNS682wgrlyOGgSvaG/f64V1Gp+Ayh1H5VL423sqf90rAyn/KPnCmqcOSqSV3ppGBD3mtd ojchhYXOdrbNg/5LHrmhzyjuixSY0r8aVDHwB/RCEl0+Cun4Q+stc8ca2dgmXftsOJI8TPlo eDu6HU+Gt9ft3rgBQU412VAbJYfCVN+a6uyOEl0UDEcPPk4G4z4IOwKsm5sxIPU5UCIOjmVw GI/6/RvvkMFjMLkeem9fYUwllBpzqxN3uNf50e9O8QQFkdqvhxQ95cCHNq+cfTYEdO3fDRng Jn9XdspvB6MRUnNhMLqeDDEw5yvp+YpqqgctPUPMOBlM+JPKcMCUu858cBj5gnVVk1uoVZ35 Pb6s2li3PvxJpmbexCbA9KRXW6pFcKD9wrqIzsnX71To4nnjdFE6Jn3IZ5E3me9jxO7j02Ia gfM7pHUrd0THfiOIgc1OZV9NRagejFZkFgEdGM/BkHtACrhKlUOawST5grIyZzjLRbGmdPXa cuX5cdFf0ELdm12go9DKzcMmAkZgFwpX7TK2bEm9QG7LRmU4IFIRQPRZ2TpbZo7tyTPrkeyg PPe4F8V7X3T6mytinDzmhet8nY1xu5Dwa1fT5kGa9SGAmzar1zfzEaUElReUQelzU5LkrC5d tn2kqpReZyM015aMFQGuNsYTrsZgOkpjE1EC9J6XBrNQW6t/XCSUGDCxa6qy0n+VkQQgNOW5 uJqvcdUC7SFky1kamQnfzZQrHOFvYlPukJrSq2BxthPGt6HXPsu8ylpH3/iY8r1LsnwVv4Vh SlbI0t/jYW1ptC6CnZfGoTzM2so9SEEI2g+ykMpnrfRjKWWsJs5YLcvcTwbA/b0vAGvE3B0i 0eiElt3J9RljnXPA5os4oihE5joIm4VquWn8Qa0dGuyMpl8qdSVde/PRuwVBcSGz7xYy26oW fPgK3IxtGGOb8Omem41nDy2Fb3h5Jr3vRZEXRb4J7aLI5P9TZJTjZgNdnjR5si/qbC+xy/vy 8r6k5Hu/Lzt1nj+DTC+6vOjy8jv2B/2O7dTo35nejs9/kST+R9H91Q/T1rN/AAAA//8DAFBL AwQUAAYACAAAACEAb6KAcdYAAAD5AAAADwAAAGRycy9kb3ducmV2LnhtbESPTU/DMBBE70j8 B2uRuFGnRVRV6LaCSkBOrdpy4bbEmw+I15FtmvTfY3Eox9GM3ugt16Pt1Il9aJ0gTCcZKJbS mVZqhPfjy90CVIgkhjonjHDmAOvV9dWScuMG2fPpEGuVIBJyQmhi7HOtQ9mwpTBxPUvqKuct xRR9rY2nIcFtp2dZNteWWkkPDfW8abj8PvxYhE2YPx/NothtZ2bQD0Vlvwp6Rby9GZ8eQUUe 4//4g3fTcnsp/1CFQbgHVb2dP31r9hQie4TklkyTJejVLwAAAP//AwBQSwECLQAUAAYACAAA ACEAWuMRZv4AAADiAQAAEwAAAAAAAAAAAAAAAAAAAAAAW0NvbnRlbnRfVHlwZXNdLnhtbFBL AQItABQABgAIAAAAIQAx3V9h0gAAAI8BAAALAAAAAAAAAAAAAAAAAC8BAABfcmVscy8ucmVs c1BLAQItABQABgAIAAAAIQDWWqb8sgMAAA0SAAAQAAAAAAAAAAAAAAAAACoCAABkcnMvc2hh cGV4bWwueG1sUEsBAi0AFAAGAAgAAAAhAG+igHHWAAAA+QAAAA8AAAAAAAAAAAAAAAAACgYA AGRycy9kb3ducmV2LnhtbFBLBQYAAAAABAAEAPUAAAANBwAAAAAAABDwCAAAAJAJYAMgE+AN DwAR8BwAAAAAAMMLCAAAAP////8QADFpAAAfBAQAAAADAAAADwAN8MwAAAAAAJ8PBAAAAAUA AAAAAKgPagAAAERyLiBNaWNoYWVsIEFsZXhhbmRlcg1EZXBhcnRtZW50IG9mIEluZm9ybWF0 aW9uIFN5c3RlbXMNV2lydHNjaGFmdHN1bml2ZXJzaXTkdCBXaWVuDW1hbGV4YW5kQHd1LXdp ZW4uYWMuYXQAAKEPHAAAAGsAAAAAAAAQCgBaAAcAawAAAAAABgAYAImJif4AAKoPDgAAAGsA AAAHAAAAAAAHDAAAAACmDwwAAADwAAAA1AHQAvADEAUQAPAHIAAAAP///wAAAAAA7uzhAB9J fQBPgb0AwFBNAAAA/wCAAIAADwCIEzgAAAAPAIoTMAAAAAAAug8QAAAAXwBfAF8AUABQAFQA MQAwAAAAixMQAAAAAADrLggAAAApa8cBkIDNIwAAIgQIAAAAAQAAAAEAAAAPAO4DzAMAAAIA 7wMYAAAAEAAAAAAAAAAAAAAAAAAAgAAAAAAHAAAADwAMBCwDAAAPAALwJAMAAOAACPAIAAAA AwAAAAMMAAAPAAPwDAMAAA8ABPAoAAAAAQAJ8BAAAAAAAAAAAAAAAAAAAAAAAAAAAgAK8AgA AAAADAAABQAAAA8ABPAQAQAAEgAK8AgAAAACDAAAIAIAAAMBC/BwAAAABAAAAAAAfwABAO8B gADg9AAFgQAwZQEAggCYsgAAgwAwZQEAhACYsgAAhQAAAAAAhwABAAAAiAAAAAAAvwAEAAQA /wEQABEAAQMCBAAAPwMAAAgAgMMQAAAAvwMAAAIAVABpAHQAbABlACAAMQAAAAAAEPAIAAAA rQAgAWAVfQMPABHwHAAAAAAAwwsIAAAA/////w0AMWkAAB8EBAAAAAIAAAAPAA3wTAAAAAAA nw8EAAAAAAAAAAAAqA8GAAAAQWdlbmRhAAChDxQAAAAHAAAAAAAAAAoABwAHAAAAAAAAAAAA qg8OAAAABwAAAAcAAAAAAAcMAAAPAATwvAEAABIACvAIAAAAAwwAACACAAATAQvwkgAAAAQA AAAAAH8AAQDvAYAAYOkABYEAMGUBAIIAmLIAAIMAMGUBAIQAmLIAAIUAAAAAAIcAAAAAAIgA AAAAAL8ABAAEAL8BAQABAP8BEAARAAEDAwQAAD8DAAAIAIDDLAAAAL8DAAACAEMAbwBuAHQA ZQBuAHQAIABQAGwAYQBjAGUAaABvAGwAZABlAHIAIAAyAAAAAAAQ8AgAAADwAyABYBUTDw8A EfAcAAAAAADDCwgAAAD/////EwAxaQAAHwQEAAAAAwAAAA8ADfDWAAAAAACfDwQAAAABAAAA AACoD2gAAABVc2UgQ2FzZXMNUHJvYmxlbSBTdGF0ZW1lbnQNQmFja3dhcmQgQ29tcGF0aWJp bGl0eQ1TY29wZQ1Db3JlDVNlY29uZGFyeQ1Ob24taW4tc2NvcGUNRnVuY3Rpb25hbCBDb3Zl cmFnZQAAoQ88AAAAOQAAAAAAAAAKAAcAHAAAAAEAAAAKAAcAFAAAAAAAAAAKAAcAOQAAAAAA AAAcAAAAAAAAABQAAAAAAAAAAACqDw4AAABpAAAABwAAAAAABwwAABAA8AcgAAAA////AAAA AADu7OEAH0l9AE+BvQDAUE0AAAD/AIAAgAAPAIgTOAAAAA8AihMwAAAAAAC6DxAAAABfAF8A XwBQAFAAVAAxADAAAACLExAAAAAAAOsuCAAAACprxwEAcDoGAAAiBAgAAAABAAAAAgAAAA8A 7gOIAwAAAgDvAxgAAAAQAAAAAAAAAAAAAAAAAACAAAAAAAcAAAAPAAwE6AIAAA8AAvDgAgAA 8AAI8AgAAAADAAAAAxAAAA8AA/DIAgAADwAE8CgAAAABAAnwEAAAAAAAAAAAAAAAAAAAAAAA AAACAArwCAAAAAAQAAAFAAAADwAE8BMBAAASAArwCAAAAAIQAAAgAgAAAwEL8HAAAAAEAAAA AAB/AAEA7wGAACD3AAWBADBlAQCCAJiyAACDADBlAQCEAJiyAACFAAAAAACHAAEAAACIAAAA AAC/AAQABAD/ARAAEQABAwIEAAA/AwAACACAwxAAAAC/AwAAAgBUAGkAdABsAGUAIAAxAAAA AAAQ8AgAAACtACABYBV9Aw8AEfAcAAAAAADDCwgAAAD/////DQAxaQAAHwQEAAAAAgAAAA8A DfBPAAAAAACfDwQAAAAAAAAAAACoDwkAAABBZ2VuZGEgSUkAAKEPFAAAAAoAAAAAAAAACgAH AAoAAAAAAAAAAACqDw4AAAAKAAAABwAAAAAABwwAAA8ABPB1AQAAEgAK8AgAAAADEAAAIAIA ABMBC/CSAAAABAAAAAAAfwABAO8BgABg4wAFgQAwZQEAggCYsgAAgwAwZQEAhACYsgAAhQAA AAAAhwAAAAAAiAAAAAAAvwAEAAQAvwEBAAEA/wEQABEAAQMDBAAAPwMAAAgAgMMsAAAAvwMA AAIAQwBvAG4AdABlAG4AdAAgAFAAbABhAGMAZQBoAG8AbABkAGUAcgAgADIAAAAAABDwCAAA APADIAFgFRMPDwAR8BwAAAAAAMMLCAAAAP////8TADFpAAAfBAQAAAADAAAADwAN8I8AAAAA AJ8PBAAAAAEAAAAAAKgPSQAAAFJlcXVpcmVtZW50cyBvbiBPdGhlcnMNQXBwcm9hY2gNUHJv Y2Vzcw1JbnRlZ3JhdGlvbg1PcGVuIEl0ZW1zDVJlZmVyZW5jZXMAAKEPFAAAAEoAAAAAAAAA CgAHAEoAAAAAAAAAAACqDw4AAABKAAAABwAAAAAABwwAABAA8AcgAAAA////AAAAAADu7OEA H0l9AE+BvQDAUE0AAAD/AIAAgAAPAIgTOAAAAA8AihMwAAAAAAC6DxAAAABfAF8AXwBQAFAA VAAxADAAAACLExAAAAAAAOsuCAAAACprxwGgfEE5AAAiBAgAAAABAAAAAgAAAA8A7gMqDwAA AgDvAxgAAAAQAAAAAAAAAAAAAAAAAACAAAAAAAcAAAAPAAwEig4AAA8AAvCCDgAAAAEI8AgA AAADAAAAAxQAAA8AA/BqDgAADwAE8CgAAAABAAnwEAAAAAAAAAAAAAAAAAAAAAAAAAACAArw CAAAAAAUAAAFAAAADwAE8BMBAAASAArwCAAAAAIUAAAgAgAAAwEL8HAAAAAEAAAAAAB/AAEA 7wGAAADAAQWBADBlAQCCAJiyAACDADBlAQCEAJiyAACFAAAAAACHAAEAAACIAAAAAAC/AAQA BAD/ARAAEQABAwIEAAA/AwAACACAwxAAAAC/AwAAAgBUAGkAdABsAGUAIAAxAAAAAAAQ8AgA AACtACABYBV9Aw8AEfAcAAAAAADDCwgAAAD/////DQAxaQAAHwQEAAAAAgAAAA8ADfBPAAAA AACfDwQAAAAAAAAAAACoDwkAAABVc2UgQ2FzZXMAAKEPFAAAAAoAAAAAAAAACgAHAAoAAAAA AAAAAACqDw4AAAAKAAAABwAAAAAABwwAAA8ABPAXDQAAEgAK8AgAAAADFAAAIAIAABMBC/CS AAAABAAAAAAAfwABAO8BgABA8gEFgQAwZQEAggCYsgAAgwAwZQEAhACYsgAAhQAAAAAAhwAA AAAAiAAAAAAAvwAEAAQAvwEBAAEA/wEQABEAAQMDBAAAPwMAAAgAgMMsAAAAvwMAAAIAQwBv AG4AdABlAG4AdAAgAFAAbABhAGMAZQBoAG8AbABkAGUAcgAgADIAAAATACLxsAoAAKnDqgoA AFBLAwQUAAYACAAAACEAWuMRZv4AAADiAQAAEwAAAFtDb250ZW50X1R5cGVzXS54bWyUkU1P xCAQhu8m/gcyV9NSPRhjSvdg9ahG1x8wgWlLtgXCYN3999L9uBjXxCPMvM/7BOrVdhrFTJGt dwquywoEOe2Ndb2Cj/VTcQeCEzqDo3ekYEcMq+byol7vArHIaccKhpTCvZSsB5qQSx/I5Unn 44QpH2MvA+oN9iRvqupWau8SuVSkhQFN3VKHn2MSj9t8fTCJNDKIh8Pi0qUAQxitxpRN5ezM j5bi2FDm5H6HBxv4KmuA/LVhmZwvOOZe8tNEa0i8YkzPOGUNaSJL479cpLn8G7JYTlz4rrOa yjZym2NvNJ+sztF5wEAZ/V/8+5I7weX+h5pvAAAA//8DAFBLAwQUAAYACAAAACEAMd1fYdIA AACPAQAACwAAAF9yZWxzLy5yZWxzpJDBasMwDIbvg72D0b1x2kMZo05vhV5LB7sKW0lMY8tY Jm3fvqYwWEZvO+oX+j7x7/a3MKmZsniOBtZNC4qiZefjYODrfFh9gJKC0eHEkQzcSWDfvb/t TjRhqUcy+iSqUqIYGEtJn1qLHSmgNJwo1k3POWCpYx50QnvBgfSmbbc6/2ZAt2CqozOQj24D 6nxP1fyHHbzNLNyXxnLQ3PfevqJqx9d4orlSMA9UDLgszzDT3NTnQL/2rv/plRETfVf+QvxM q/XHrBc1dg8AAAD//wMAUEsDBBQABgAIAAAAIQAaXqTiRQYAAJYwAAAQAAAAZHJzL3NoYXBl eG1sLnhtbOxazW7jNhC+F+g7ELwWWTteZ50YURaOgbQFjIURu+hxMZaoWDVFqiTltXPqO/QN +mh9kn6kJEdxD1002aKbyAeHP0Ny5pv5SHqYy/e7XLKtMDbTKuKnb/qcCRXrJFN3Ef9peXNy zpl1pBKSWomI74Xl76++/eayGNuCYbCy4yLia+eKca9n47XIyb7RhVDoS7XJyaFq7nqFEVYo Rw4L5bI36Pff9XLKFL/CVGq7KObGl+IP27lhWRLxt5wpyrHkVCuHkWwuKRZrLRNh2ID3aulq IEGbmY43tlaJPkelxNAn2PlIG6b09wYGnfoFekGfRjUFzfyixRr67SI+HFwML96NBhdntWwl gEEP5liYFTR1u2ud7K8uabzCX5hYQffv9YTPHIzU5p6zT4agsv21JCM4kz8qG/GL0+EQznSh MjwbDVAx7Z5Vu0eV+VRLbzYzToYi5EnFWCDirilOHWroiHVekJupRRH7Md6swli33P1MpmC+ iEFi5z7oxZoKEQRoO7POg9qW9SMVomRSOp1mjqXw9SImCbePRmd9LCX9IrciKWMfORFH4KC5 mqeC0s8hrVu4vRRPhRXzQr2nzhImgY9zMjMEMgLFW4LabUBPboE0GjKVIK4jftJIkLyDhZKz RKRLWi3uazdCFl4JYwTN1LXZBE95sCZhCAE+QAVyqbobQ9ak7hDe81LFWKTyUkDTq2eLeB47 tiXvdA9pg2lb4lqkx7Jt+DHHg8QkdY2ss9W8zZSQq3tX5VSa5S6gvCoX94fiDUxhbl+IFByP +MRkBBiKzMXrG8ozufcwIu7WZKyANWFqcKmcoiU0R/zP3/7wcUFjR6sq1GgMIG8DA33UefrS uPqCdzZlnuX6l6zyCcCKeCJOJktseAD+LSzlbFU5KnyXEVfYA/1+aLINtFR6EUqcbYTxu2cY Ensu1oKeHpjFRzjJ7F78EKorskJmfjcNfXOjdRrKSWYcLEWrzd1UCsKk/UAeqbzqSt9kUlax X7VYLbPENwbs/e4rgHAFv9tVmxic3ZYSaSpi1wBUzlTthNJPU5dDJLX88V2uTqSr0BV01CGo 6ojtUUdsa56aCnl3xT7WH19ghxoqfltAAOEb/vHO8gY9MxFHIOIZwH1MRGx5ByIOzs+w62C3 64j4JCL+/oxEHJx3RDxsjM9MxAMFmf98ZB0LX9Jx2LHw6zgOOxbiih8uMC/xUtqx8OtgYetG 2hCyOxVf4I/Ejo//dz6Cft1F9NVdRIVK5mQI6Zp/yMx0PwiP8ixPyMw8gP7Fsi5NcvNx1gVJ lkPWpZHosi5d+vN1pD8fcp/dQffqDrrPfIDojrnnO+b+/gDh3yE67nXcC69t8vjxr+PeF+Ne R7qOdB3pwv8p/Icv7q2n9lbxdZ2AfwEAAP//7FbNjtowEH4Vy9eKZqFsdzfaIAES6oFDtHBH E8cBF//JdrbAqe/QN+yTdOwEdhf13F7IwRl7Po9nvpmJ8wy51CvLJih4y0oWyCvIgg7v4kOz yXP2ETHjzTV29A6KNt4Q0yacscF3ds8mEddrq3Yu3fqAJ0FetavTRVwYHUg4Wt4A4wWdOgGS EisC2y1ACXks6JcxJWwHzvNQ0GQ62pjjSlou6O+fv2IMkAeolj4ksebNS+m6yGzporYbSkf2 rRLKfBfRGpGgtwWt+WC6psSfCjp6REpIlZQdpC2oNpqjOjixRy+1WSWJkj13GnlEctBHsBeg ZWm/Nk6BFCf+LU0r8FwKjRYQrk3pjGmSXAsXMFJc9SrMJQc0ekej01LHUZuFkLKLplvxRoo6 Lka1ZzuuODLc0R8Owz6nH1C8aTgLZ4Lape6T0EYzvSwhCP0uH5+UHsjQscvhSsGhUzB/pWC+ P991zIcJ2fRPrDSsFxwxHTja6L8lByW1z6GguxBsnmUpIvCfjeUadU3kMeDUbbPawQ+ht0pm yPrXTIHQiSnMMlHglgV9GI+e7pFLnL0kUuVrLHZKhK65xiIajB7vHyIC5BaZxoLDcllDtcL0 Pw3H45hNF3APvjks9czt0/4Gi3WatkAbTKwdZKtXI3SHpYSela1meMiwz9+t72KKsRJufReJ +E99t7l04GZz68Hb3dd9F2933z+8+/7SdpnNw2Fm6iPehRZ/zSZ/AAAA//8DAFBLAwQUAAYA CAAAACEAjN7pbtUAAAD5AAAADwAAAGRycy9kb3ducmV2LnhtbEyPzW7CMBCE75V4B2uReitO qEAoxaAWqW1OrQI8wBJvftp4HdmGhLfH6qHiOJrRN/rW29F04kLOt5YVpLMEBHFpdcu1guPh /WkFwgdkjZ1lUnAlD9vN5GGNmbYDF3TZh1pECPsMFTQh9JmUvmzIoJ/Znjh2lXUGQ4yultrh EOGmk/MkWUqDLceHBnvaNVT+7s9Gwc4v3w56lX9/zfUgF3llfnL8UOpxOr6+gAg0hrtxejZF +l/+oXKt4BlE9Xk9uVYX6AM5BdEtmkZLkJsbAAAA//8DAFBLAQItABQABgAIAAAAIQBa4xFm /gAAAOIBAAATAAAAAAAAAAAAAAAAAAAAAABbQ29udGVudF9UeXBlc10ueG1sUEsBAi0AFAAG AAgAAAAhADHdX2HSAAAAjwEAAAsAAAAAAAAAAAAAAAAALwEAAF9yZWxzLy5yZWxzUEsBAi0A FAAGAAgAAAAhABpepOJFBgAAljAAABAAAAAAAAAAAAAAAAAAKgIAAGRycy9zaGFwZXhtbC54 bWxQSwECLQAUAAYACAAAACEAjN7pbtUAAAD5AAAADwAAAAAAAAAAAAAAAACdCAAAZHJzL2Rv d25yZXYueG1sUEsFBgAAAAAEAAQA9QAAAJ8JAAAAAAAAEPAIAAAA8AMgAWAVEw8PABHwHAAA AAAAwwsIAAAA/////xMAMWkAAB8EBAAAAAMAAAAPAA3weQEAAAAAnw8EAAAAAQAAAAAAqA/j AAAARGVzaWduaW5nIGFuZCBJbXBsZW1lbnRpbmcNRWxlbWVudCBNYW5hZ2VycyAoRU1TcykN TmV0d29yayBNYW5hZ2VycyAoTk1TcykNT3BlcmF0aW9ucyBTdXBwb3J0IFN5c3RlbXMgKE9T U3MpDUNMSXMNDUZ1bmN0aW9uYWwgQ292ZXJhZ2UNQ29uZmlndXJhdGlvbg1BbGFybXMNQ3Vy cmVudC1oaXN0b3JpY2FsIHBlcmZvcm1hbmNlDUludmVudG9yeQ1BY2NvdW50aW5nIG1hbmFn ZW1lbnQNU2VjdXJpdHkAAKEPZAAAABsAAAAAAAAQCgBQAAcAWAAAAAEAABAKAFAABwAUAAAA AAAAEAoAUAAHAF0AAAABAAAQCgBQAAcAGwAAAAAAAgAZAFgAAAAAAAIAFgAUAAAAAAQCAAAE GQBdAAAAAAgCAAAIFgAAAKoPDgAAAOQAAAAHAAAAAAAHDAAAEADwByAAAAD///8AAAAAAO7s 4QAfSX0AT4G9AMBQTQAAAP8AgACAAA8AiBM4AAAADwCKEzAAAAAAALoPEAAAAF8AXwBfAFAA UABUADEAMAAAAIsTEAAAAAAA6y4IAAAAKmvHARCM/18AACIECAAAAAEAAAACAAAADwDuA9gN AAACAO8DGAAAABAAAAAAAAAAAAAAAAAAAIAAAAAABwAAAA8ADAQ4DQAADwAC8DANAAAQAQjw CAAAAAYAAAAGGAAADwAD8BgNAAAPAATwKAAAAAEACfAQAAAAAAAAAAAAAAAAAAAAAAAAAAIA CvAIAAAAABgAAAUAAAAPAATwfAEAABIACvAIAAAAAhgAACACAAADAQvwcAAAAAQAAAAAAH8A AQDvAYAA4OoiBYEAMGUBAIIAmLIAAIMAMGUBAIQAmLIAAIUAAAAAAIcAAQAAAIgAAAAAAL8A BAAEAP8BEAARAAEDAgQAAD8DAAAIAIDDEAAAAL8DAAACAFQAaQB0AGwAZQAgADEAAAAAABDw CAAAAK0AIAFgFX0DDwAR8GoAAAAAAMMLCAAAAP////8NADFpDwCIE0YAAAAPAIoTPgAAAAAA ug8OAAAAXwBfAF8AUABQAFQAOQAAAIsTIAAAAAAArA8YAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAfBAQAAAACAAAADwAN8GoAAAAAAJ8PBAAAAAAAAAAAAKgPDAAAAFVzZSBDYXNl cyBJSQAAoQ8eAAAADQAAAAAAAAAKAAcADAAAAAAAAAABAAAAAAQAAAAEAACqDxwAAAAMAAAA BwAAAAAABwwAAAEAAAAHAAAAAAAHDAAADwAE8M4AAACyBArwCAAAAAMYAAAgCgAAIwEL8IIA AAAEAAAAAAB/AIUA/wGFAAAAAAC/AAQABAAAAQAAAAABAQAAAAACAQAAAAADAQAAAAAEQQEA AAAFwQIAAAAGAQAAAAA/AQAABgC/AQAAEQD/AQAAEAABAwMEAAA/AxAAGACAwxQAAAC/AwAA AgAAAFAAaQBjAHQAdQByAGUAIAAyAAAAAAAQ8AgAAACgBcIPVxU8Dw8AEfAcAAAAAADDCwgA AAD/////EwAxaQAAHwQEAAAAAwAAAA8ABPB6AAAAsgQK8AgAAAAEGAAAAAoAAKMAC/BSAAAA fwCAAPsBvwAEAAQABEECAAAABcECAAAAPwEAAAYAvwEAABEA/wEAABgAPwMQABgAgMMUAAAA vwMAAAIAAABQAGkAYwB0AHUAcgBlACAAMwAAAAAAEPAIAAAAoAWVAUEOHg8PAATw2wAAAKIM CvAIAAAABRgAAAAKAACDAAvwRAAAAH8AAAAEAIAAwEYyBYUAAgAAAL8ABgAGAL8BAQARAP8B AAAIAIDDFAAAAL8DAAACAFQAZQB4AHQAQgBvAHgAIAA1AAAAAAAQ8AgAAABLD5UBSQU0EA8A DfBnAAAAAACfDwQAAAAEAAAAAACoDw0AAAAoQykgc2VydmFzb2Z0AAChDxQAAAAOAAAAAAAA AAoABwAOAAAAAAAAAAAAqg8OAAAADgAAAAcAAAAAAAcMAAAAAKYPDAAAAPAAAADUAdAC8AMQ BQ8ABPAhCQAAogwK8AgAAAAGGAAAAAoAAIMAC/BcAAAAfwAAAO8BgADgRzIFvwAEAAQAvwEB ABEA/wEQABgAPwMAAAgAgMMsAAAAvwMAAAIAQwBvAG4AdABlAG4AdAAgAFAAbABhAGMAZQBo AG8AbABkAGUAcgAgADIAAAATACLxCwgAAKnDBQgAAFBLAwQUAAYACAAAACEAWuMRZv4AAADi AQAAEwAAAFtDb250ZW50X1R5cGVzXS54bWyUkU1PxCAQhu8m/gcyV9NSPRhjSvdg9ahG1x8w gWlLtgXCYN3999L9uBjXxCPMvM/7BOrVdhrFTJGtdwquywoEOe2Ndb2Cj/VTcQeCEzqDo3ek YEcMq+byol7vArHIaccKhpTCvZSsB5qQSx/I5Unn44QpH2MvA+oN9iRvqupWau8SuVSkhQFN 3VKHn2MSj9t8fTCJNDKIh8Pi0qUAQxitxpRN5ezMj5bi2FDm5H6HBxv4KmuA/LVhmZwvOOZe 8tNEa0i8YkzPOGUNaSJL479cpLn8G7JYTlz4rrOayjZym2NvNJ+sztF5wEAZ/V/8+5I7weX+ h5pvAAAA//8DAFBLAwQUAAYACAAAACEAMd1fYdIAAACPAQAACwAAAF9yZWxzLy5yZWxzpJDB asMwDIbvg72D0b1x2kMZo05vhV5LB7sKW0lMY8tYJm3fvqYwWEZvO+oX+j7x7/a3MKmZsniO BtZNC4qiZefjYODrfFh9gJKC0eHEkQzcSWDfvb/tTjRhqUcy+iSqUqIYGEtJn1qLHSmgNJwo 1k3POWCpYx50QnvBgfSmbbc6/2ZAt2CqozOQj24D6nxP1fyHHbzNLNyXxnLQ3PfevqJqx9d4 orlSMA9UDLgszzDT3NTnQL/2rv/plRETfVf+QvxMq/XHrBc1dg8AAAD//wMAUEsDBBQABgAI AAAAIQBd9oi1ngMAAFgIAAAQAAAAZHJzL3NoYXBleG1sLnhtbKRVzW4bNxC+F+g7ELwWjmRZ dmIh60A26raAEgiRih6L0S7XYsUltyRXlnzqs/TR+iT9htyNHaOHItJhRXKG8/PNzMf3Hw6N EXvlg3a2kOdvxlIoW7pK24dC/rq+P3snRYhkKzLOqkIeVZAfbr7/7n07C63AZRtmbSG3Mbaz 0SiUW9VQeONaZSGrnW8oYusfRq1XQdlIEY4aM5qMx1ejhrSVNzBl96t26XlVftovvdBVId9K YamByztnI26KpaFSbZ2plBcTOeq1+aKIh1t3QPgwRohr4cpd6IOj/xNc5ekRGX8VFxyMUjxD aBaR5cPncAN73zx+dBUCpS66FMGh9s2p7jkTV9cCaU0v3wIuKY7I8Go85jXioJk6RFFC/m4y uca5FCU0ppeTy+urC9YY0YwjYdXWh/iTcidHJdhQIb0qY8qU9osQs6vBBbuz7l4bcyoEKUlj TzUjHgt5DVRSwDmyZLnREZ1kdAMEx/zLqG4VVT/aKqlE0iavgaWxqSO45Nx73HPVkbPd4B9t kIfhm/uNpxDQbp1/kuLRE6Yq/NmRV1KYX2xADufTKYoc0yb1hBT+pWTzUmK75s4Zngnho0lL XCZbwkEh47C8i9hx67impbiwq7Yc5ogLuj78Rr7tqx7RcJ/cakut+q/iZ91cft/MMQy17nsj I8QiE+IqHo06Fa1UnoGAvhlzjognuCG/KOTFdHLNY4Td5wSK2QNAHGhbgYAKeTZokHkAWxop KlWvabN66qsDXYCd7iha2Fu/SwWowWDzdCVRhDBgQduLcWVL9gHss+xsCSeZxAxXgsMLbbks o9gT1/JLm6Z2fNa4VfVrXbBE7miowsazxryOg24M2W7q/KzXSzfdnfHrQ0J5062evizvkYqI x1bVIONCzr0mwNDqWG7vqdEGDHQxRTttyQeFbPqhgj2cpONC/vPX33nUIm0yfdAMQH7O9Joq whFiyvBBdXZdoxv3h841AViFrNTZfI2XCcBPMLxSbHKh0rcrpMVjxQ+X1ztEad0qraTYKc/P XKLTkkesV+SuhxXLD5bRT+rntN1QUEbzs5dkS+9cndaV9hGZ4jQ08c4ogtFxmgkmiYH/gF5P GyiBM7piUkzY8zOpgHCGPx7Oe7r+SkvVNWh2AKhb2L4IHZvp16mTXtTjh8aemZjRVfRKoCgL yvBKUIbeP9Dm+OKN+D3/0v/zJx1yUmghfKGMb5tocaBDvJmhvfkXAAD//wMAUEsDBBQABgAI AAAAIQC00x1J1wAAAPkAAAAPAAAAZHJzL2Rvd25yZXYueG1sRI/dSgMxEIXvBd8hjOCN2KwK ul2bllKxForIbvsAYzL7QzfJkozt1qc3eKGXh3P4Dt9sMdpeHCnEzjsFd5MMBDntTecaBfvd 620OIjI6g713pOBMERbzy4sZFsafXEnHihuRIC4WqKBlHgopo27JYpz4gVzqah8scoqhkSbg KcFtL++z7FFa7Fx6aHGgVUv6UH1ZBSv9stxVa8qnN+vv94dyq8c65kpdX43LZxBMI/+PM/7Y HPiv/EVtjIInEPXb+TN0psTIFBQkt2SaLEHOfwAAAP//AwBQSwECLQAUAAYACAAAACEAWuMR Zv4AAADiAQAAEwAAAAAAAAAAAAAAAAAAAAAAW0NvbnRlbnRfVHlwZXNdLnhtbFBLAQItABQA BgAIAAAAIQAx3V9h0gAAAI8BAAALAAAAAAAAAAAAAAAAAC8BAABfcmVscy8ucmVsc1BLAQIt ABQABgAIAAAAIQBd9oi1ngMAAFgIAAAQAAAAAAAAAAAAAAAAACoCAABkcnMvc2hhcGV4bWwu eG1sUEsBAi0AFAAGAAgAAAAhALTTHUnXAAAA+QAAAA8AAAAAAAAAAAAAAAAA9gUAAGRycy9k b3ducmV2LnhtbFBLBQYAAAAABAAEAPUAAAD6BgAAAAAAABDwCAAAAPADIAFgFRMPDwAN8IIA AAAAAJ8PBAAAAAQAAAAAAKgPHAAAAERyaWxsaW5nLWRvd24gaW50byBlcXVpcG1lbnQAAKEP HgAAAB0AAAAAAAMgCgADABQABwAdAAAAAABDAAEAAQAcAAAAqg8OAAAAHQAAAAcAAAAAAAcM AAAAAKYPDgAAAPgAAADYANQB0ALwAxAFEADwByAAAAD///8AAAAAAO7s4QAfSX0AT4G9AMBQ TQAAAP8AgACAAA8AiBM4AAAADwCKEzAAAAAAALoPEAAAAF8AXwBfAFAAUABUADEAMAAAAIsT EAAAAAAA6y4IAAAAlWvHAWBhLq8AACIECAAAAAEAAAACAAAADwDuA6ISAAACAO8DGAAAABAA AAAAAAAAAAAAAAAAAIAAAAAABwAAAA8ADAQCEgAADwAC8PoRAAAgAQjwCAAAAAMAAAADHAAA DwAD8OIRAAAPAATwKAAAAAEACfAQAAAAAAAAAAAAAAAAAAAAAAAAAAIACvAIAAAAABwAAAUA AAAPAATwGwEAABIACvAIAAAAAhwAACACAAADAQvwcAAAAAQAAAAAAH8AAQDvAYAAQEgyBYEA MGUBAIIAmLIAAIMAMGUBAIQAmLIAAIUAAAAAAIcAAQAAAIgAAAAAAL8ABAAEAP8BEAARAAED AgQAAD8DAAAIAIDDEAAAAL8DAAACAFQAaQB0AGwAZQAgADEAAAAAABDwCAAAAK0AIAFgFX0D DwAR8BwAAAAAAMMLCAAAAP////8NADFpAAAfBAQAAAACAAAADwAN8FcAAAAAAJ8PBAAAAAAA AAAAAKgPEQAAAFByb2JsZW0gU3RhdGVtZW50AAChDxQAAAASAAAAAAAAAAoABwASAAAAAAAA AAAAqg8OAAAAEgAAAAcAAAAAAAcMAAAPAATwhxAAABIACvAIAAAAAxwAACACAAATAQvwkgAA AAQAAAAAAH8AAQDvAYAAwEkyBYEAMGUBAIIAmLIAAIMAMGUBAIQAmLIAAIUAAAAAAIcAAAAA AIgAAAAAAL8ABAAEAL8BAQABAP8BEAARAAEDAwQAAD8DAAAIAIDDLAAAAL8DAAACAEMAbwBu AHQAZQBuAHQAIABQAGwAYQBjAGUAaABvAGwAZABlAHIAIAAyAAAAEwAi8RELAACpwwsLAABQ SwMEFAAGAAgAAAAhAFrjEWb+AAAA4gEAABMAAABbQ29udGVudF9UeXBlc10ueG1slJFNT8Qg EIbvJv4HMlfTUj0YY0r3YPWoRtcfMIFpS7YFwmDd/ffS/bgY18QjzLzP+wTq1XYaxUyRrXcK rssKBDntjXW9go/1U3EHghM6g6N3pGBHDKvm8qJe7wKxyGnHCoaUwr2UrAeakEsfyOVJ5+OE KR9jLwPqDfYkb6rqVmrvErlUpIUBTd1Sh59jEo/bfH0wiTQyiIfD4tKlAEMYrcaUTeXszI+W 4thQ5uR+hwcb+CprgPy1YZmcLzjmXvLTRGtIvGJMzzhlDWkiS+O/XKS5/BuyWE5c+K6zmso2 cptjbzSfrM7RecBAGf1f/PuSO8Hl/oeabwAAAP//AwBQSwMEFAAGAAgAAAAhADHdX2HSAAAA jwEAAAsAAABfcmVscy8ucmVsc6SQwWrDMAyG74O9g9G9cdpDGaNOb4VeSwe7CltJTGPLWCZt 376mMFhGbzvqF/o+8e/2tzCpmbJ4jgbWTQuKomXn42Dg63xYfYCSgtHhxJEM3Elg372/7U40 YalHMvokqlKiGBhLSZ9aix0poDScKNZNzzlgqWMedEJ7wYH0pm23Ov9mQLdgqqMzkI9uA+p8 T9X8hx28zSzcl8Zy0Nz33r6iasfXeKK5UjAPVAy4LM8w09zU50C/9q7/6ZURE31X/kL8TKv1 x6wXNXYPAAAA//8DAFBLAwQUAAYACAAAACEAxLzsnqUGAAATJwAAEAAAAGRycy9zaGFwZXht bC54bWzsV8FuGzcQvRfoPxC8FopkRYpswetAFuC2gGAIloIeC2qXsrbikluSq0g+5R/6B/20 fknfkLv2Ri3QoEqaHrQHLskZDmfezJDD67f7QrGdtC43OuEXr3qcSZ2aLNePCX+3vOtccua8 0JlQRsuEH6Tjb2++/ea6HLuSYbF24zLhG+/Lcbfr0o0shHtlSqlBWxtbCI+hfeyWVjqpvfDY qFDdfq/3pluIXPMbiNK7RTm31Evvd3PL8izhrznTosCWU6M9VrK5EqncGJVJy/q8W3PHhQLa zEy6dbVK4lNUyqx4Dzs/0oZp872FQRe0QTfo06imoRltWm6g3z7hg/7V4OrNqH81rHkjAxa9 mONgVtDU729Ndri5FuMV/jAxQvfv9YTPPIw09omz91ZAZfdrJazkTP2oXcKvLgYDONOHwWA4 6mNg25RVm6KrYmoUmc2sV6ELfqFTbJBw33SnHiMQUlOUws/0okxpDZlVWueX+5+ELRl1sUju /b1ZbEQpA4PYzZwnUNu8tFIjSiaVN+vcszV8vUiFgttHo2EPWyna5EFmVUqRk3AEDqajnAgl yVDOL/xByVNhhVyod6qUIAQ+LoSdIZARKGQJRg8BPbUD0pjIdYa4Tnin4RDqERYqzjK5XorV 4ql2I3jhlbBGipm+tdvgKQJrEpYIwAeokFy6JmPJRuhHhPe80ik2iV4KaJJ6rkznqWc7QU4n SBtM2xy3cn3M24YfMl44Jmvf8HoX5TYiwVdTV9VU2eU+oLyqFk/P3TuYwvyhlGvkeMInNheA ocx9urkTRa4OBCPibiOsk7AmiEYuVVPMhOmE//Hhd4oLMfZiFUNNjAHkQ8hAijpKXzGODbyz rYq8ML/k0ScAK+GZ7EyWOPAA/GtYytkqOiq0VcI1zkA6D22+hZbaLEKPs620dHqGJSnlYs1I 6QEpFOFC5U/yhzBcCSdVTqdpoM2tMevQz3LrYSlmXeGnSgoI7YXkUZpU1+YuVyrGfpxxRuUZ TQbs6fSVQDjC7/fxEIOz21xyvZapbwCqZrp2QkVi6n6IpJY/vit0R/mIrhRHBCkiIXVHhNTV eWoj8v6G/YwvNPi1v9Y8CDQKX9OLf7ShQw2jcwQRhxYOJe8SAl85c1Nvz7n76bl7j2z6AgmL Oyzm9DlhA7onJWw7SUP//5h35xvzq92YUnfeLc435viL3pgvd2b7WvwvMnGE2nWIeuTj2pVO 2KZ27V8OUajjgXCuXU+qXX87tXZtZWL/8ly7Pr8lPmPtGsvQugj9y81IVen5ijw/Ko8fla3E PD8qj56In+VR+TcPxucbk5K1Ttv2P0w1TU1v2GIe/+Pt+icAAAD//+xYwW7bMAz9FUHXIXOS tmtr1AHSAsUOOQRNdw4YWU60yJIgyV3a0/5hf7BP25eMkuykLXpr0EutABJFUrRI6oWWvTd5 ljm24TW4r9pwtatlpW0NHqd2nZUWfgm1rmU2Hg6/ZTUIRSdXkJu5JTXYWUFPTseXwyENs7uC IiEfZByFKrnyBR10GiDXqqCSkpJX97BaPBX0cnR6GhZbn9ZwmKlruy3oiJJKKz+NS6DxGu2C F6oV45INqDXubN4ohg8ZxV1JtTAsbM8ZNmeePACaHQ1Do9nkKoP8ucY1r17ropN7VbRx0JhW vtP1LtntTKJeK101N9Le7/BJkK+axdOevEVXiH80vALGCzq1AjAMRni2uYVayMcQRkrYBqzj 6E00HWzcICeyC/rv99/gA+QeVjPnI4mBvJvb5BlmJEhTh9nZNrWo9U+RcoLBKihXgx8LShwG /gQ9pWSVEhX7pqBKK45ib8UWd6n0IlKUbLnFxI3iEgZmr2hYXKnCeZHiiX+P0xU4LoVCC/gE pedW6yrSpbAePUWuq/2N5IBGh23ewtaVvhVSJm+kChynpSgDM07CKeUY4RR+vxu1OX2hxauK M98FqJmpNglNMNPS8SQ9y8eXWg2kT9Hl8ErAIQmYeyVgrn2+TZH3E7JMDUfStmU4dHh0sMfM YG+CK4YgzJTLoaCbI0DwHCF4hmF9CUGE0B6C44uz86DRQ/B9EPyTzsJRIDi+6CG4/0s8IgQ7 FC4J/kJrGR0k4xQ7Qj4Cm13xe4lNhOIem51Gj833YfPd5bHkg+l9Xx7zDyiPz2CZABrA+SG1 skNbj8fwetm/rpLP/boa6mAAY+g7IoyJxhp5oFutMHTiw6rA7Mvpp7ttclXOwQJeQt+6b/YF NX0LOHJBPQS9u1FmJve7a10+IsPgx4/JfwAAAP//AwBQSwMEFAAGAAgAAAAhAMgmzYfWAAAA +QAAAA8AAABkcnMvZG93bnJldi54bWxEj81uwjAQhO+VeAdrK/VWnFIV0cCCWiRoLqUK9AGW ePMDsR3ZhoS3r9VDexzN6Bt9i9WgW3Fl5xtrEJ7GCQg2hVWNqRC+D5vHGQgfyChqrWGEG3tY LUd3C0qV7U3O132oRIQYnxJCHUKXSumLmjX5se3YxK60TlOI0VVSOeojXLdykiRTqakx8aGm jtc1F+f9RSOs/fT9oGbZ126ievmSlfqU0Rbx4X54m4MIPIT/cfV62uSff+UvKlMIzyDKj9vR NSonH9ghRLdoGi1BLn8AAAD//wMAUEsBAi0AFAAGAAgAAAAhAFrjEWb+AAAA4gEAABMAAAAA AAAAAAAAAAAAAAAAAFtDb250ZW50X1R5cGVzXS54bWxQSwECLQAUAAYACAAAACEAMd1fYdIA AACPAQAACwAAAAAAAAAAAAAAAAAvAQAAX3JlbHMvLnJlbHNQSwECLQAUAAYACAAAACEAxLzs nqUGAAATJwAAEAAAAAAAAAAAAAAAAAAqAgAAZHJzL3NoYXBleG1sLnhtbFBLAQItABQABgAI AAAAIQDIJs2H1gAAAPkAAAAPAAAAAAAAAAAAAAAAAP0IAABkcnMvZG93bnJldi54bWxQSwUG AAAAAAQABAD1AAAAAAoAAAAAAAAQ8AgAAADwAyABYBUTDw8AEfAcAAAAAADDCwgAAAD///// EwAxaQAAHwQEAAAAAwAAAA8ADfCIBAAAAACfDwQAAAABAAAAAACgD2YDAABFAHYAZQByAHkA IABkAGUAdgBpAGMAZQAsACAARQBNAFMALAAgAE4ATQBTACwAIABBAGwAYQByAG0AIABtAGEA bgBhAGcAZQByACwAIABpAG4AdgBlAG4AdABvAHIAeQAgAG0AYQBuAGEAZwBlAHIAIAB0AGUA bgBkAHMAIAB0AG8AIABoAGEAdgBlACAAaQB0AHMAIAANAEkAVABTACAATwBXAE4AIABEAEEA VABBACAATQBPAEQARQBMAA0AUABvAHAAdQBsAGEAcgAgAGEAYwBjAGUAcwBzACAAbQBlAHQA aABvAGQAIABmAG8AYwB1AHMADQAcIHcAZQAgAG0AYQBuAGEAZwBlACAAdwBpAHQAaAAgAFMA TgBNAFAALAAgAEMATABJACwAIABDAE8AUgBCAEEAIABlAHQAYwAsACAAHCAgACYgIAANAE4A TQAgAHMAbwBtAGUAdABpAG0AZQBzACAAcwBlAGMAbwBuAGQAYQByAHkAIABvAHUAdABzAGkA ZABlACAAbwBmACAAYwBhAHIAcgBpAGUAcgAgAGIAZQBjAGEAdQBzAGUAIABvAGYAIABoAGkA ZwBoACAAYwBvAHMAdAAgAG8AZgAgAHAAcgBvAHAAZQByACAAZQBuAHQAZQByAHAAcgBpAHMA ZQAgAE4ATQANAEYAbABhAHQAbgBlAHMAcwAgAG8AZgAgAFMATQBJAC8ATQBJAEIAcwANAFQA cgB5ACAAYgB1AGkAbABkAGkAbgBnACAAYQAgAG0AdQBsAHQAaQAtAGQAZQB2AGkAYwBlACAA RQBNAFMALwBOAE0AUwAgAGYAcgBvAG0AIABpAHQAIAAmIA0AQgBlAGgAYQB2AGkAbwByACAA dwBlAGEAawBsAHkAIABlAHgAcAByAGUAcwBzAGUAZAAgAGkAbgAgAE0ASQBCAHMADQBUAGkA bQBlACAAaQB0ACAAdABhAGsAZQBzACAAdABvACAAbQBvAGQAZQBsACAAYQAgAG4AZQB3ACAA ZABlAHYAaQBjAGUALAAgAGEAZABkACAAYQBkAGQAaQB0AGkAbwBuAGEAbAAgAHIAZQBsAGUA YQBzAGUAIABzAHUAcABwAG8AcgB0ACAAaQBzACAAZQB4AGMAZQBzAHMAaQB2AGUADQAAAKEP uAAAAEwAAAAAAAAQCgBQAAcAEwAAAAAAARgKAAIAAQBQAAcAHAAAAAAAABAKAFAABwArAAAA AQAAEAoAUAAHAGwAAAAAAAAQCgBQAAcALgAAAAEAABAKAFAABwB0AAAAAAAAEAoAUAAHAEwA AAAAAAIAGQATAAAAAQACAAEAGQAcAAAAAAQCAAAEGQArAAAAAAQCAAAEFgBsAAAAAAgCAAAI GQAuAAAAAAgCAAAIFgB0AAAAAAgCAAAIGQAAAKoPRgAAAF8AAAAHAAAAAAAHDAAA4QAAAAcA AAAAAAkEAAAiAAAABwAAAAAABwwAAFEAAAAHAAAAAAAJBAAAAQAAAAcAAAAAAAcMAAAQAPAH IAAAAP///wAAAAAA7uzhAB9JfQBPgb0AwFBNAAAA/wCAAIAADwCIEzgAAAAPAIoTMAAAAAAA ug8QAAAAXwBfAF8AUABQAFQAMQAwAAAAixMQAAAAAADrLggAAAAra8cBUESlGwAAIgQIAAAA AQAAAAIAAAAPAO4D0QwAAAIA7wMYAAAAEAAAAAAAAAAAAAAAAAAAgAAAAAAHAAAADwAMBDEM AAAPAALwKQwAADABCPAIAAAAAwAAAAMgAAAPAAPwEQwAAA8ABPAoAAAAAQAJ8BAAAAAAAAAA AAAAAAAAAAAAAAAAAgAK8AgAAAAAIAAABQAAAA8ABPAeAQAAEgAK8AgAAAACIAAAIAIAAAMB C/BwAAAABAAAAAAAfwABAO8BgADA8AEFgQAwZQEAggCYsgAAgwAwZQEAhACYsgAAhQAAAAAA hwABAAAAiAAAAAAAvwAEAAQA/wEQABEAAQMCBAAAPwMAAAgAgMMQAAAAvwMAAAIAVABpAHQA bABlACAAMQAAAAAAEPAIAAAArQAgAWAVfQMPABHwHAAAAAAAwwsIAAAA/////w0AMWkAAB8E BAAAAAIAAAAPAA3wWgAAAAAAnw8EAAAAAAAAAAAAqA8UAAAAUHJvYmxlbSBTdGF0ZW1lbnQg SUkAAKEPFAAAABUAAAAAAAAACgAHABUAAAAAAAAAAACqDw4AAAAVAAAABwAAAAAABwwAAA8A BPCzCgAAEgAK8AgAAAADIAAAIAIAABMBC/CSAAAABAAAAAAAfwABAO8BgAAA8wEFgQAwZQEA ggCYsgAAgwAwZQEAhACYsgAAhQAAAAAAhwAAAAAAiAAAAAAAvwAEAAQAvwEBAAEA/wEQABEA AQMDBAAAPwMAAAgAgMMsAAAAvwMAAAIAQwBvAG4AdABlAG4AdAAgAFAAbABhAGMAZQBoAG8A bABkAGUAcgAgADIAAAATACLxDggAAKnDCAgAAFBLAwQUAAYACAAAACEAWuMRZv4AAADiAQAA EwAAAFtDb250ZW50X1R5cGVzXS54bWyUkU1PxCAQhu8m/gcyV9NSPRhjSvdg9ahG1x8wgWlL tgXCYN3999L9uBjXxCPMvM/7BOrVdhrFTJGtdwquywoEOe2Ndb2Cj/VTcQeCEzqDo3ekYEcM q+byol7vArHIaccKhpTCvZSsB5qQSx/I5Unn44QpH2MvA+oN9iRvqupWau8SuVSkhQFN3VKH n2MSj9t8fTCJNDKIh8Pi0qUAQxitxpRN5ezMj5bi2FDm5H6HBxv4KmuA/LVhmZwvOOZe8tNE a0i8YkzPOGUNaSJL479cpLn8G7JYTlz4rrOayjZym2NvNJ+sztF5wEAZ/V/8+5I7weX+h5pv AAAA//8DAFBLAwQUAAYACAAAACEAMd1fYdIAAACPAQAACwAAAF9yZWxzLy5yZWxzpJDBasMw DIbvg72D0b1x2kMZo05vhV5LB7sKW0lMY8tYJm3fvqYwWEZvO+oX+j7x7/a3MKmZsniOBtZN C4qiZefjYODrfFh9gJKC0eHEkQzcSWDfvb/tTjRhqUcy+iSqUqIYGEtJn1qLHSmgNJwo1k3P OWCpYx50QnvBgfSmbbc6/2ZAt2CqozOQj24D6nxP1fyHHbzNLNyXxnLQ3PfevqJqx9d4orlS MA9UDLgszzDT3NTnQL/2rv/plRETfVf+QvxMq/XHrBc1dg8AAAD//wMAUEsDBBQABgAIAAAA IQD95AKkowMAADMLAAAQAAAAZHJzL3NoYXBleG1sLnhtbOxWzY4iNxC+R8o7WL5GLAzL/gya ZsUgTRIJjdDAao+rotsMHdx2x3azMKc8Sx4tT5Kv7G4go0RaZRTlsn2wy64fV331o775cKi0 2CvnS2syefVqIIUyuS1K85jJj6u73nspfCBTkLZGZfKovPww+f67m3rsawFl48d1Jrch1ON+ 3+dbVZF/ZWtlwNtYV1HA0T32a6e8MoECHqp0fzgYvO1XVBo5gSmzX9YLx1R+v184URaZfC2F oQpPzqwJ0BQLTbnaWl0oJ4ay30onRYI3c5vvfOsSfY1LhaMviPMv3ghjf3QI6Iof6Ed/OtcM PONH6y38O2RyNLweXb99N7x+08omASidw/EIK3oaDre2OE5uaLzGjhATdP/eT+QsIEjrnqT4 4ggu+18bckoK/bPxmby+Go2QzBAPozfvhji4S876kmOaamY1hy1c0JGEPJkcD2QydOQs4ARG bquawtws65x1OKza+bA6fCJXCyahpA7h3i63VKsoQPu5DwzqpSxrGlTJtAl2Uwah2eSDKpqc 6wS2B/givB1wrKF9WIajVi8FEd7AmZdaiUaQ0YrcHGWLsoDLfHqIWOk9cMVFaQpUcSZ7nQTp R0SopSjUZkXr5VObNMgiB1FH0dzcul3MywZtMI0qBLCQZrSSadlQ2ZJ5RDEvGpPjkZSTiCa7 5+t8kQexJ04xQ9pheilxqzbPZdGlJ1HYOEtMN6GTDT7Z7UxCruWum5l2q0NEed0sn07kHUIR 4VirDTo6k1NXEmCoy5Bv76gq9ZFhRJVtyXmFaKJpFEAzw028zuQfv/3OdUHjQOtUWDQGkA+x 37jGuFlpnBZkZ9dUZWV/KVNOAFYmlel9XGK8AfjXiFSKdUpUXJtMGkw8nn6u3MFLY5eRkmKn HJdmVMm581pBbgZY4XomXT6pn+JxTV7pkmdn5C2ctZtIF6ULiBS3vgozrQhGB7FVtGHXjb0r tU4dk2681WXBlxF7nrUKCCf4wyGNLCT7UkptNioPHUDN3LRJaNhMS8dKusjHD5Xp6ZDQVfSM oSgxcv+Mkfu2T11CPkyE+Jy+uHeHzyciUv9wEkkM3NaKiF9rMG7MA3HeOma8YRZ/nV4rmsy2 68lAkozi6S5eXJKd+nNG98xZN95g6Xb24GQpXkL2zGwNpk0IHo9oLayoXC5jTvX/PKLctxH1 9SPqHkPjhXOpUL3p6ttcGv9ncyk2K7dgGg7n9W+6D79z3b8bSF9P/gQAAP//AwBQSwMEFAAG AAgAAAAhALguCfPVAAAA+QAAAA8AAABkcnMvZG93bnJldi54bWxEj8FuwjAQRO+V+AdrkbgV B6oCSllQi9Q2JyqgH7CNN4nb2I5sQ8Lf1+LQHkczeqO33g6mFRf2QTuLMJtmINiWTmlbI3ye Xu9XIEIkq6h1lhGuHGC7Gd2tKVeutwe+HGMtEsSGnBCaGLtcylA2bChMXcc2dZXzhmKKvpbK U5/gppXzLFtIQ9qmh4Y63jVc/hzPBmEXFi8ntSo+9nPVy8eiMt8FvSFOxsPzE4jIQ/wfz5a1 Lpd/5Q1VKIQHENX79ctrdaAQ2SMkt2SaLEFufgEAAP//AwBQSwECLQAUAAYACAAAACEAWuMR Zv4AAADiAQAAEwAAAAAAAAAAAAAAAAAAAAAAW0NvbnRlbnRfVHlwZXNdLnhtbFBLAQItABQA BgAIAAAAIQAx3V9h0gAAAI8BAAALAAAAAAAAAAAAAAAAAC8BAABfcmVscy8ucmVsc1BLAQIt ABQABgAIAAAAIQD95AKkowMAADMLAAAQAAAAAAAAAAAAAAAAACoCAABkcnMvc2hhcGV4bWwu eG1sUEsBAi0AFAAGAAgAAAAhALguCfPVAAAA+QAAAA8AAAAAAAAAAAAAAAAA+wUAAGRycy9k b3ducmV2LnhtbFBLBQYAAAAABAAEAPUAAAD9BgAAAAAAABDwCAAAAPADIAFgFRMPDwAR8BwA AAAAAMMLCAAAAP////8TADFpAAAfBAQAAAADAAAADwAN8LcBAAAAAJ8PBAAAAAEAAAAAAKgP TwEAACJBbHRob3VnaCBzb21lIHBvc2l0aXZlIHNlbnRpbWVudCB3YXMgZXhwcmVzc2VkIGZv ciBkZWZpbmluZyBhIGtpbmQgb2YgInN1cGVyIFNNSSIgbWV0YWxhbmd1YWdlIHRvIGFpZCBp biB0aGUgZGVmaW5pdGlvbiBvZiBhIGdlbmVyYWwgQVBJLCBpdCB3YXMgbm90IGNsZWFyIHdo ZXRoZXIgdGhlIGN1cnJlbnQgY3JvcCBvZiBzdXBwb3J0aW5nIHByb3RvY29scyBoYWQgc3Vm ZmljaWVudCBzZW1hbnRpYyBjb21tb25hbGl0eSB0byBiZSB1c2VkIGluIHRoaXMgd2F5LiBU aGUgbWF0dGVyIHJlbWFpbnMgb3BlbiBmb3IgaW52ZXN0aWdhdGlvbi4iDVZpbmNlIENlcmYg UkZDIDExMDkgKDE5ODkpAAChDygAAAA1AQAAAAAAEAoAWgAHABsAAAAAAAEYCgACAAIAWgAH AFABAAAAAAAAAACqDxwAAAA1AQAABwAAAAAACQQAABsAAAAHAAAAAAAHDAAAEADwByAAAAD/ //8AAAAAAO7s4QAfSX0AT4G9AMBQTQAAAP8AgACAAA8AiBM4AAAADwCKEzAAAAAAALoPEAAA AF8AXwBfAFAAUABUADEAMAAAAIsTEAAAAAAA6y4IAAAALGvHAZB0MkAAACIECAAAAAEAAAAC AAAADwDuA3cPAAACAO8DGAAAABAAAAAAAAAAAAAAAAAAAIAAAAAABwAAAA8ADATXDgAADwAC 8M8OAABAAQjwCAAAAAMAAAADJAAADwAD8LcOAAAPAATwKAAAAAEACfAQAAAAAAAAAAAAAAAA AAAAAAAAAAIACvAIAAAAACQAAAUAAAAPAATwIAEAABIACvAIAAAAAiQAACACAAADAQvwcAAA AAQAAAAAAH8AAQDvAYAA4McBBYEAMGUBAIIAmLIAAIMAMGUBAIQAmLIAAIUAAAAAAIcAAQAA AIgAAAAAAL8ABAAEAP8BEAARAAEDAgQAAD8DAAAIAIDDEAAAAL8DAAACAFQAaQB0AGwAZQAg ADEAAAAAABDwCAAAAK0AIAFgFX0DDwAR8BwAAAAAAMMLCAAAAP////8NADFpAAAfBAQAAAAC AAAADwAN8FwAAAAAAJ8PBAAAAAAAAAAAAKgPFgAAAEJhY2t3YXJkIENvbXBhdGliaWxpdHkA AKEPFAAAABcAAAAAAAAACgAHABcAAAAAAAAAAACqDw4AAAAXAAAABwAAAAAABwwAAA8ABPBX DQAAEgAK8AgAAAADJAAAIAIAABMBC/CSAAAABAAAAAAAfwABAO8BgAAAyQEFgQAwZQEAggCY sgAAgwAwZQEAhACYsgAAhQAAAAAAhwAAAAAAiAAAAAAAvwAEAAQAvwEBAAEA/wEQABEAAQMD BAAAPwMAAAgAgMMsAAAAvwMAAAIAQwBvAG4AdABlAG4AdAAgAFAAbABhAGMAZQBoAG8AbABk AGUAcgAgADIAAAATACLxjgoAAKnDiAoAAFBLAwQUAAYACAAAACEAWuMRZv4AAADiAQAAEwAA AFtDb250ZW50X1R5cGVzXS54bWyUkU1PxCAQhu8m/gcyV9NSPRhjSvdg9ahG1x8wgWlLtgXC YN3999L9uBjXxCPMvM/7BOrVdhrFTJGtdwquywoEOe2Ndb2Cj/VTcQeCEzqDo3ekYEcMq+by ol7vArHIaccKhpTCvZSsB5qQSx/I5Unn44QpH2MvA+oN9iRvqupWau8SuVSkhQFN3VKHn2MS j9t8fTCJNDKIh8Pi0qUAQxitxpRN5ezMj5bi2FDm5H6HBxv4KmuA/LVhmZwvOOZe8tNEa0i8 YkzPOGUNaSJL479cpLn8G7JYTlz4rrOayjZym2NvNJ+sztF5wEAZ/V/8+5I7weX+h5pvAAAA //8DAFBLAwQUAAYACAAAACEAMd1fYdIAAACPAQAACwAAAF9yZWxzLy5yZWxzpJDBasMwDIbv g72D0b1x2kMZo05vhV5LB7sKW0lMY8tYJm3fvqYwWEZvO+oX+j7x7/a3MKmZsniOBtZNC4qi ZefjYODrfFh9gJKC0eHEkQzcSWDfvb/tTjRhqUcy+iSqUqIYGEtJn1qLHSmgNJwo1k3POWCp Yx50QnvBgfSmbbc6/2ZAt2CqozOQj24D6nxP1fyHHbzNLNyXxnLQ3PfevqJqx9d4orlSMA9U DLgszzDT3NTnQL/2rv/plRETfVf+QvxMq/XHrBc1dg8AAAD//wMAUEsDBBQABgAIAAAAIQAx T5TRJAYAAGQfAAAQAAAAZHJzL3NoYXBleG1sLnhtbOxXzW7bOBC+F9h3IHhduHZcp0mMKIVj IG0BozBiFz0WtETFWlOklqRcO6e+w77BPlqfpN+QkuvkVDRZowtYQBSS88OZb+Yjrcs3m1Kx tbSuMDrhJy97nEmdmqzQdwn/OL/pnHPmvNCZUEbLhG+l42+u/nhxWQ1dxWCs3bBK+NL7atjt unQpS+FemkpqyHJjS+ExtXfdykontRceG5Wq2+/1XndLUWh+BVd6Paumlkbph/XUsiJL+CvO tCix5dhoD0s2VSKVS6MyaVmfdxvtaCgQzcSkK9eEJH4mpMyKL8jzQTRMm7cWCZ3QBt0QTxua RmS0abVEfJuED/oXg4vXZ/2L00Y3KsDoRzoOaYVI/ebaZNurSzFc4D9SjND9epyomUeSxt5z 9sUKhOz+roWVnKn32iX84mQwQDF9mAxOz/qY2H3JYl+i63JsFKXNrFdhCH2hU2yQcN8Oxx4z CFJTVsJP9KxKyYbSqqzz880nYStGQxjJjf9gZktRyaAg1hPnCdR9XbLU6JJR7U1eeKbI5a3M 6pT6BL57eAK8LXBkoZyf+a2STwUR0SCYp3oJTlDRUtgJ2hZtgZBpdhuwUmvgioVCZ+jihHda DaHukKHiLJP5XCxm903RoIsaBBspJvrarkJdctBgFEwEwEKZQSXdiGGyFPoOzTytdYpNYk0C mhSeq9Jp6tlaUIkJ0hbTfY1rmT/WBUt3qvDxQ2OU+1bXu+i3dQm9Rrqox8rONwHlRT273w1v kArz20rmYHTCR7YQgKEqfLq8EWWhtgQjumwprJPIJrhGA9RjrITlhH/7+i/1hRh6sYiNJYYA 8jbwjXqMyCqG8YXqrOqyKM1fRawJwEp4JjujOY43AP8KmXK2iIUK7zrhGicenX62WCFKbWZh xNlKWmrNYJIS8xpFIgO8UD8LVdzLd2G6EE6qgs7OIJtaY/IwzgrrkSlWXenHSgo47QWqKE2h a3NTKBUZE1ecUUVGiwF7OmslEI7w+008slDsfS2Z5zL1LUD1RDdFqMlNMw6dtFePP0vdUT6i K8UjgRRRkLpHgtQ1PLUReX/FPuNhRHg0C96oBRWGgn9m0p2BdKcA8iHpcJjtSNc/Pz0jjSPp nka6f56RdP3zI+l2h+Czko54R+TbPZGKjLHP+KNnX+EQDG0vvYcMBSF3DG01jgx9GkOP1+L/ 4VoEM4mDkYoYHIKDx1vyUD9Nj7fk78/BeEHuX4SBjPQ6BBnb6+54IdJ33W/9nSh15+Ps+J04 /M++EyMV6cfq7k5sB1F0CEL+0u34HQAA///sVsGO2jAQ/RXL14oGWFR10QYJkFAPHKJle14N iQMuztiynS1w6j/0D/pp/ZKO7bDsoh7aak8VkXDGM48h82YeTv0A69Ux57eD0ajf58x6lXO6 C1jizO5yPuCs1uinaoM5h9ZrzhR4iV2YoFvAjcRN0WLpA35yB2OFK1MGw5myKD17Ako76IeL Z5O77DViJupL7PAFlHKcEdPan7DepbynlITrout2ruzDnn4Jxut2dXw2F1QK8wcjaihFzqdW guLMSF9uF9BIdcj5zYizcgvWCaompg455uSJ7pz//PY91ABjD+ul89GsRH1f2FSZKWyIpqWw bNc2stFfZORVEVk5F9j7vOLMEfHDj4H2dQwmSJtz1Cgo7K3c0VOiXkWLs52w1IUBkUPPCOYZ aMr4fdS2ASWP4lPcrsEJJZEyEBx1YbWuo11J66lS8rrGz5UAStrv+hYeHfVCKpWqURg8TitZ BWfclFvRCGI40e/3g66nr1CirkXpTwS1S+ya0IY0nR0n6UU/3jXYUz6xK+AiICAFSncRKF33 +zYx7yfs8fExfNLFonleyBsmkOaIVmoTrSbUZdi+UejGkPOt92acZS5UCu69NgIpVgd+PW3t JqssfKWpb1RG3fiQNSAxMkjdZw3YZRik4W1oFO3uI9nqKWlLYiWQhqt3QkAUFw0ijdFVj3+v xx9pMP5dj5XoTR+SHm+iuK56jP+Pb6lHUt1JknRn4YryTLoMu2Al31Wh/9mJ+UcKFVgVYIEO 0t+dmVeNpveZNz4zz6SfDsLMjP1+pqsDOQy9wE1+AQAA//8DAFBLAwQUAAYACAAAACEAwPnZ wNQAAAD5AAAADwAAAGRycy9kb3ducmV2LnhtbESPwU7DMBBE70j9B2srcaNOi6iqtG5FKwE5 gdryAUu8SVzidbBNk/w9Fgc4jmb0Rm+zG2wrruSDcaxgPstAEJdOG64VvJ+f7lYgQkTW2Dom BSMF2G0nNxvMtev5SNdTrEWCcMhRQRNjl0sZyoYshpnriFNXOW8xpuhrqT32CW5buciypbRo OD002NGhofLz9G0VHMJyf9ar4u11oXv5UFT2UuCzUrfT4XENItIQ/8eInRm//spfVKEV3IOo XsYPb/QRQySvILkl02QJcvsDAAD//wMAUEsBAi0AFAAGAAgAAAAhAFrjEWb+AAAA4gEAABMA AAAAAAAAAAAAAAAAAAAAAFtDb250ZW50X1R5cGVzXS54bWxQSwECLQAUAAYACAAAACEAMd1f YdIAAACPAQAACwAAAAAAAAAAAAAAAAAvAQAAX3JlbHMvLnJlbHNQSwECLQAUAAYACAAAACEA MU+U0SQGAABkHwAAEAAAAAAAAAAAAAAAAAAqAgAAZHJzL3NoYXBleG1sLnhtbFBLAQItABQA BgAIAAAAIQDA+dnA1AAAAPkAAAAPAAAAAAAAAAAAAAAAAHwIAABkcnMvZG93bnJldi54bWxQ SwUGAAAAAAQABAD1AAAAfQkAAAAAAAAQ8AgAAADwAyABYBUTDw8AEfAcAAAAAADDCwgAAAD/ ////EwAxaQAAHwQEAAAAAwAAAA8ADfDbAQAAAACfDwQAAAABAAAAAACoD+kAAABBeGlvbToN QmFja3dhcmQgY29tcGF0aWJpbGl0eSB3aXRoIE1JQnMgU0hBTEwgYmUgcHJlc2VydmVkDUJ1 aWxkaW5nIG9uIE1JQiBiYXNlIA1NYW4gaG91cnMgaW4gZXhpc3RpbmcgTUlCcyAuLi4NIENv bnZlcnNpb24gb2YgTUlCU3MgdG8gIERNIE1vZGVscw1JbnRvIG5hbWVzcGFjZSwgZnJlZSBm b3JtIHZhcmlhbnQNUmV2ZXJzZSBpbXBvcnRzIG9mIERNIE1vZGVscyBpbnRvIE1JQnMgbm90 IGZlYXNpYmxlDQAAoQ+kAAAABwAAAAAAABAKAFoABwA0AAAAAQAAEAoAWgAHABYAAAAAAAAQ CgBaAAcAHwAAAAEAABAKAFoABwAjAAAAAAAAEAoAWgAHACIAAAABAAAQCgBaAAcANQAAAAAA ABAKAFoABwAHAAAAAAAAADQAAAAAAAAAFgAAAAAEAAAABB8AAAAABAAAAAQjAAAAAAgAAAAI IgAAAAAIAAAACDUAAAAACAAAAAgAAKoPKgAAAHAAAAAHAAAAAAAHDAAARQAAAAcAAAAAAAkE AAA1AAAABwAAAAAABwwAABAA8AcgAAAA////AAAAAADu7OEAH0l9AE+BvQDAUE0AAAD/AIAA gAAPAIgTOAAAAA8AihMwAAAAAAC6DxAAAABfAF8AXwBQAFAAVAAxADAAAACLExAAAAAAAOsu CAAAACxrxwHAvDZLAAAiBAgAAAABAAAAAgAAAA8A7gO3FgAAAgDvAxgAAAAQAAAAAAAAAAAA AAAAAACAAAAAAAcAAAAPAAwEFxYAAA8AAvAPFgAAUAEI8AgAAAADAAAAAygAAA8AA/D3FQAA DwAE8CgAAAABAAnwEAAAAAAAAAAAAAAAAAAAAAAAAAACAArwCAAAAAAoAAAFAAAADwAE8J0I AAASAArwCAAAAAIoAAAgAgAAAwEL8HAAAAAEAAAAAAB/AAEA7wGAAIDHAQWBADBlAQCCAJiy AACDADBlAQCEAJiyAACFAAAAAACHAAEAAACIAAAAAAC/AAQABAD/ARAAEQABAwIEAAA/AwAA CACAwxAAAAC/AwAAAgBUAGkAdABsAGUAIAAxAAAAEwAi8WkHAACpw2MHAABQSwMEFAAGAAgA AAAhAFrjEWb+AAAA4gEAABMAAABbQ29udGVudF9UeXBlc10ueG1slJFNT8QgEIbvJv4HMlfT Uj0YY0r3YPWoRtcfMIFpS7YFwmDd/ffS/bgY18QjzLzP+wTq1XYaxUyRrXcKrssKBDntjXW9 go/1U3EHghM6g6N3pGBHDKvm8qJe7wKxyGnHCoaUwr2UrAeakEsfyOVJ5+OEKR9jLwPqDfYk b6rqVmrvErlUpIUBTd1Sh59jEo/bfH0wiTQyiIfD4tKlAEMYrcaUTeXszI+W4thQ5uR+hwcb +CprgPy1YZmcLzjmXvLTRGtIvGJMzzhlDWkiS+O/XKS5/BuyWE5c+K6zmso2cptjbzSfrM7R ecBAGf1f/PuSO8Hl/oeabwAAAP//AwBQSwMEFAAGAAgAAAAhADHdX2HSAAAAjwEAAAsAAABf cmVscy8ucmVsc6SQwWrDMAyG74O9g9G9cdpDGaNOb4VeSwe7CltJTGPLWCZt376mMFhGbzvq F/o+8e/2tzCpmbJ4jgbWTQuKomXn42Dg63xYfYCSgtHhxJEM3Elg372/7U40YalHMvokqlKi GBhLSZ9aix0poDScKNZNzzlgqWMedEJ7wYH0pm23Ov9mQLdgqqMzkI9uA+p8T9X8hx28zSzc l8Zy0Nz33r6iasfXeKK5UjAPVAy4LM8w09zU50C/9q7/6ZURE31X/kL8TKv1x6wXNXYPAAAA //8DAFBLAwQUAAYACAAAACEAe4qjXf0CAABZBgAAEAAAAGRycy9zaGFwZXhtbC54bWykVE1v 2zAMvQ/YfxB0HdqkQdYuQZ2iLdBtQFAETYYdB8aWGy+y5El0mvTX70myu6ynYfVBpkRKfHz8 uLza11rslPOVNZk8Ox1KoUxui8o8ZvLb6u7kkxSeyRSkrVGZPCgvr2bv3102U98IXDZ+2mRy w9xMBwOfb1RN/tQ2ykBXWlcTY+seB41TXhkmhqNaD0bD4fmgpsrIGZ4yu2WzcEHK73cLJ6oi kyMpDNVwuapYK3EmB50+mRL8z22+9R0I+hcQhaMnRPaXf2HsZ4cQooNBRNCDMcASnDYbwYcG UDhAkYC3z+R4NBlPzi9Gk48BGS4m6yj0D3hEFWHz/sYWh9klTdf4I8LE3P+DRsoYEVv3LMWT I+D3v1pyAKe/Gp/Jydl4jFxy3Iw/Xoywccea9bHGtPWt1YED4VhHEfZkcjjIZM6u39wy9lDl tm6I52bZ5OFWCKxxnlf77+QaEUSQpfZ8b5cbalQ0oN3cc6Dq2DbcNCiT65ZtWbEoreFlThpk T4b4Irc9a8FYe17yAQXxRgYBBDje+kp8BOmsyc0jMRAeoqB34BNMVaZA2UeR9CN6LLJZqHJF 6+Vzl6iQHE72iubmxm1jLgIZ1/ESgR6kFt1jOjWubMg8opoXrcnhIGVBh5QEVL7JFzmLHYW0 BiZ7Ko8tblT52rY3w/0/2uuSezv26c0ju067bm+1W+0jset2+fwi3iGMl809xkg0YVqneqAp 2HiIjRJKI7QcTdMCZrdtXdX2Z5VIRcSZLNTJ9QpjCeyhyEHEOjEd1zaTBi7C1HLVFmVk7DJK UmyVCzMOowcFHFqmMww1jKNQhqSrZ/Ulbtfkla7CzIu6hbO2jHJROT5Eydd8qxXh0WGscG0C dGPvKq1ToacTb3VVhMNIYpiRClQlHnmfBg8ydmylylLl3BPUzk1HYBue6eRYDnEylZQD54f6 54nm0DE0VfRKoSgpcv9Kkfuux1xinmfix58vyiKddL8foYNRD1iRpZCyOP76EYcB6JvZbwAA AP//AwBQSwMEFAAGAAgAAAAhAEEZVQjWAAAA+QAAAA8AAABkcnMvZG93bnJldi54bWxEj8FO wzAQRO9I/IO1SFyi1iFQiNK6FSAQXFsqod628TY2xHaw3Sb5eywO9Dia0Ru9xWowLTuRD9pZ ATfTHBjZ2kltGwHbj9dJCSxEtBJbZ0nASAFWy8uLBVbS9XZNp01sWILYUKEAFWNXcR5qRQbD 1HVkU3dw3mBM0TdceuwT3LS8yPN7blDb9KCwo2dF9ffmaATM7pqfo96Xsn/4GnflJ8/aF0VC XF8Nj3NgkYZ4HlN2+1Rk/+Uf6l0KKIAd3sa913KNIZIXkNySabIEvvwFAAD//wMAUEsBAi0A FAAGAAgAAAAhAFrjEWb+AAAA4gEAABMAAAAAAAAAAAAAAAAAAAAAAFtDb250ZW50X1R5cGVz XS54bWxQSwECLQAUAAYACAAAACEAMd1fYdIAAACPAQAACwAAAAAAAAAAAAAAAAAvAQAAX3Jl bHMvLnJlbHNQSwECLQAUAAYACAAAACEAe4qjXf0CAABZBgAAEAAAAAAAAAAAAAAAAAAqAgAA ZHJzL3NoYXBleG1sLnhtbFBLAQItABQABgAIAAAAIQBBGVUI1gAAAPkAAAAPAAAAAAAAAAAA AAAAAFUFAABkcnMvZG93bnJldi54bWxQSwUGAAAAAAQABAD1AAAAWAYAAAAAAAAQ8AgAAACt ACABYBV9Aw8AEfAcAAAAAADDCwgAAAD/////DQAxaQAAHwQEAAAAAgAAAA8ADfBoAAAAAACf DwQAAAAAAAAAAACoDyAAAABJbmRlcGVuZGVuY2UgZnJvbSBBY2Nlc3MgTWV0aG9kcwAAoQ8W AAAAIQAAAAAAAAAKAAcAIQAAAAAAAgAoAAAAqg8OAAAAIQAAAAcAAAAAAAcMAAAPAATwGg0A ABIACvAIAAAAAygAACACAAATAQvwkgAAAAQAAAAAAH8AAQDvAYAAoEsyBYEAMGUBAIIAmLIA AIMAMGUBAIQAmLIAAIUAAAAAAIcAAAAAAIgAAAAAAL8ABAAEAL8BAQABAP8BEAARAAEDAwQA AD8DAAAIAIDDLAAAAL8DAAACAEMAbwBuAHQAZQBuAHQAIABQAGwAYQBjAGUAaABvAGwAZABl AHIAIAAyAAAAEwAi8WwIAACpw2YIAABQSwMEFAAGAAgAAAAhAFrjEWb+AAAA4gEAABMAAABb Q29udGVudF9UeXBlc10ueG1slJFNT8QgEIbvJv4HMlfTUj0YY0r3YPWoRtcfMIFpS7YFwmDd /ffS/bgY18QjzLzP+wTq1XYaxUyRrXcKrssKBDntjXW9go/1U3EHghM6g6N3pGBHDKvm8qJe 7wKxyGnHCoaUwr2UrAeakEsfyOVJ5+OEKR9jLwPqDfYkb6rqVmrvErlUpIUBTd1Sh59jEo/b fH0wiTQyiIfD4tKlAEMYrcaUTeXszI+W4thQ5uR+hwcb+CprgPy1YZmcLzjmXvLTRGtIvGJM zzhlDWkiS+O/XKS5/BuyWE5c+K6zmso2cptjbzSfrM7RecBAGf1f/PuSO8Hl/oeabwAAAP// AwBQSwMEFAAGAAgAAAAhADHdX2HSAAAAjwEAAAsAAABfcmVscy8ucmVsc6SQwWrDMAyG74O9 g9G9cdpDGaNOb4VeSwe7CltJTGPLWCZt376mMFhGbzvqF/o+8e/2tzCpmbJ4jgbWTQuKomXn 42Dg63xYfYCSgtHhxJEM3Elg372/7U40YalHMvokqlKiGBhLSZ9aix0poDScKNZNzzlgqWMe dEJ7wYH0pm23Ov9mQLdgqqMzkI9uA+p8T9X8hx28zSzcl8Zy0Nz33r6iasfXeKK5UjAPVAy4 LM8w09zU50C/9q7/6ZURE31X/kL8TKv1x6wXNXYPAAAA//8DAFBLAwQUAAYACAAAACEA5Y7f qwAEAABkEgAAEAAAAGRycy9zaGFwZXhtbC54bWzsWN1uIjcUvq/Ud7B8W2UhLGwCyrBKkNJW Qiu0ZLWXkZkxYRqPPbU9LMnVvkPfoI/WJ+l3bA9McrVtolVVMRfDsc9n+/x9B8PF+12l2FZa Vxqd8dM3fc6kzk1R6ruMf7q5PjnnzHmhC6GMlhl/kI6/n/74w0U9cTXDYu0mdcY33teTXs/l G1kJ98bUUkO3NrYSHkN716utdFJ74XFQpXqDfv9drxKl5lNspbfLemFJyj9sF5aVRcbfcqZF hSNnRnusZAslcrkxqpCWDXgvoeNCAWvmJr93ySTxLSYVVnyBn0+sYdr8bOHQKR3QC/a0pmlY RofWG9i3y/hwMB6O350NxqOEjQAsOrjj4Faw1O+uTPEwvRCTFT7hYgzdv7cTOfNw0thHzr5Y AZPd742wkjP1q3YZH58Oh0imD4Ph6GyAge1qVl2NbqqZUeQ2s14FEXihcxyQcd+KM48RFLmp auHnelnntIbcqq3zN7vPwtaMRCySO//BLDeilgEgtnPnKahdLK3UqJLLxpt16dkauV7mQiHt 48Go3w+RbWNGYOX80j8o+dL4wRDY8dJdwiZIZiXsHBWLioDJNPoYwqS2CCkmSl2ggDN+0iKE ugPbFGeFXN+I1fIx5QtYhD+skWKur+x9SAlF5TIsEYgTMgwW6aTGko3Qd6jjRaNzHBLToSg3 ZJ6r80Xu2VZQdvv0pJh2EVdy/RwLgu6h2OOAuFz7Futd3LfdErikXTUzZW92IcqrZvm4F6/h CvMPtVyDzBm/tKVAGOrS55trUZXqgcKIAtsI6yS8CVujAJoZZsJ0xv/6+if5ICZerGJNiQkC +TFQjcqLeCom8YXs3DdVWZnfypgTBCvjhTy5vEFnQ+DfwlPOVjFR4d1kXKPZUeOz5T2s1GYZ JM7upaU2GZbkRLoEJB5gFyplocpH+UsYroSTqqS2GXQLa8w6yEVpPTzFrKv8TEmBTfuBJUqT 6dpcl0pFssQZZ1RZ0GSIPbVZiQjH8Ptd7FZIdhcl12uZ+zZAzVynJDS0TZJDJXXy8VOlT5SP 0ZXimUKKqMjdM0XuUk3ZGHk/Zbe3t4xe+EgvGsaZME1yGraz1BpQW3gjdZRH8vWVOXoGjo4Q 96ccRdvbc3RwPjojxJGjL+PoH6/I0cH5kaP7nvlqHD3Qj3WpyP7xExged0ukj+xvid12gUj8 OAq6A2AvQdjLHenZFgGScGTusXX8n77ej63jv/71HqnXYSFENJHwJJYndrYcpmEABXWUEjyp DhSnCXrazyCkQQLHUXgnRRd0+10aQnubf3qXwNVhf5doEce7xMvuEt9035e6WAgr8DPgeOOn m/N3ufEfgt5e2fH/R/tnB0RXT/8GAAD//wMAUEsDBBQABgAIAAAAIQAvgVMw1gAAAPkAAAAP AAAAZHJzL2Rvd25yZXYueG1sRI/dSgMxEIXvBd8hjOCdzVqxlLVpqQV1Eam09QHGzexP3UyW TOxu397ghV4ezuE7fIvV6Dp1oiCtZwO3kwwUcelty7WBj8PTzRyURGSLnWcycCaB1fLyYoG5 9QPv6LSPtUoQlhwNNDH2udZSNuRQJr4nTl3lg8OYYqi1DTgkuOv0NMtm2mHL6aHBnjYNlV/7 b2dgI7PHg50X79upHfR9Ubljgc/GXF+N6wdQkcb4P65k/Xp8+yt/UYU1cAeqejl/htbuUCIF A8ktmSZL0MsfAAAA//8DAFBLAQItABQABgAIAAAAIQBa4xFm/gAAAOIBAAATAAAAAAAAAAAA AAAAAAAAAABbQ29udGVudF9UeXBlc10ueG1sUEsBAi0AFAAGAAgAAAAhADHdX2HSAAAAjwEA AAsAAAAAAAAAAAAAAAAALwEAAF9yZWxzLy5yZWxzUEsBAi0AFAAGAAgAAAAhAOWO36sABAAA ZBIAABAAAAAAAAAAAAAAAAAAKgIAAGRycy9zaGFwZXhtbC54bWxQSwECLQAUAAYACAAAACEA L4FTMNYAAAD5AAAADwAAAAAAAAAAAAAAAABYBgAAZHJzL2Rvd25yZXYueG1sUEsFBgAAAAAE AAQA9QAAAFsHAAAAAAAAEPAIAAAA8AMgAWAVEw8PABHwHAAAAAAAwwsIAAAA/////xMAMWkA AB8EBAAAAAMAAAAPAA3wwAMAAAAAnw8EAAAAAQAAAAAAoA9MAwAARABhAHQAYQAgAE0AbwBk AGUAbABzACAAbgBlAGUAZAAgAHQAbwAgACAAYgBlACAAaQBuAGQAZQBwAGUAbgBkAGUAbgB0 ACAAbwBmACAAYQBjAGMAZQBzAHMAIABtAGUAdABoAG8AZABzAA0AHiBUAGEAbABrAGkAbgBn ACAAdABvACAAYQAgAGQAZQB2AGkAYwBlACAAdgBpAGEAIABTAE4ATQBQACAAfAB8ACAAQwBM AEkAIAB8AHwAIABOAEUAVABDAE8ATgBGACAAIAB8AHwAIABDAE8AUgBCAEEAIAB8AHwAIABY AE0ATAAtAFIAUABDACAAIAB8AHwAIABCAGEAdABjAGgAIABDAG8AbgBmAGkAZwAgAFQAcgBh AG4AcwBmAGUAcgAcICAAaQBzACAAcgBlAGwAYQB0AGkAdgBlAGwAeQAgAGkAbgBzAGkAZwBu AGkAZgBpAGMAYQBuAHQAIABpAG4AIAB0AGkAbQBlAC8AcgBlAHMAbwB1AHIAYwBlAHMAIABy AGUAbABhAHQAaQB2AGUAIAB0AG8AIABkAGUAcwBpAGcAbgBpAG4AZwAtAGkAbQBwAGwAZQBt AGUAbgB0AGkAbgBnAC0AbQBhAGkAbgB0AGEAaQBuAGkAbgBnACAAZABhAHQAYQAgAG0AbwBk AGUAbABzACAALgAuAC4ADQBBACAAYwBsAGUAYQBuACAAZABhAHQAYQAgAG0AbwBkAGUAbAAg AG8AZgAgAGEAIAA1ADAAMAAwACAAbQBhAG4AYQBnAGUAZAAgAG8AYgBqAGUAYwB0AHMAIABk AGUAdgBpAGMAZQAgAGMAYQBuACAAYgBlACAAdABhAGwAawBlAGQAIAB0AG8AIABpAG4AIABB AE4AWQAgAG8AZgAgAHQAaABlACAAYQBiAG8AdgBlACAAYQBjAGMAZQBzAHMAIABtAGUAdABo AG8AZABzACAAcAByAG8AdgBpAGQAZQBzACAAdABoAGUAIABkAGUAdgBpAGMAZQAgAGgAYQBz ACAAYQBuACAAYQBnAGUAbgB0ACAAdABoAGEAdAAgAGUAeABwAG8AcwBlAHMAIAB0AGgAZQAg AG8AYgBqAGUAYwB0AHMAIAANAAAAoQ9CAAAANgAAAAAAAAAKAAcAcAEAAAEAAAAKAAcAAQAA AAAAAAAKAAcANgAAAAAAAgAeAHABAAAAAAIAGgABAAAAAAACAB4AAACqDw4AAACnAQAABwAA AAAABwwAABAA8AcgAAAA////AAAAAADu7OEAH0l9AE+BvQDAUE0AAAD/AIAAgAAPAIgTOAAA AA8AihMwAAAAAAC6DxAAAABfAF8AXwBQAFAAVAAxADAAAACLExAAAAAAAOsuCAAAACxrxwGA 9bXhAAAiBAgAAAABAAAAAgAAAA8A7gN6EQAAAgDvAxgAAAAQAAAAAAAAAAAAAAAAAACAAAAA AAcAAAAPAAwE2hAAAA8AAvDSEAAAYAEI8AgAAAADAAAAAywAAA8AA/C6EAAADwAE8CgAAAAB AAnwEAAAAAAAAAAAAAAAAAAAAAAAAAACAArwCAAAAAAsAAAFAAAADwAE8BcBAAASAArwCAAA AAIsAAAgAgAAAwEL8HAAAAAEAAAAAAB/AAEA7wGAAOBNMgWBADBlAQCCAJiyAACDADBlAQCE AJiyAACFAAAAAACHAAEAAACIAAAAAAC/AAQABAD/ARAAEQABAwIEAAA/AwAACACAwxAAAAC/ AwAAAgBUAGkAdABsAGUAIAAxAAAAAAAQ8AgAAACtACABYBV9Aw8AEfAcAAAAAADDCwgAAAD/ ////DQAxaQAAHwQEAAAAAgAAAA8ADfBTAAAAAACfDwQAAAAAAAAAAACoDw0AAABTY29wZTog Q29yZSBJAAChDxQAAAAOAAAAAAAAAAoABwAOAAAAAAAAAAAAqg8OAAAADgAAAAcAAAAAAAcM AAAPAATwYw8AABIACvAIAAAAAywAACACAAATAQvwkgAAAAQAAAAAAH8AAQDvAYAAQLIyBYEA MGUBAIIAmLIAAIMAMGUBAIQAmLIAAIUAAAAAAIcAAAAAAIgAAAAAAL8ABAAEAL8BAQABAP8B EAARAAEDAwQAAD8DAAAIAIDDLAAAAL8DAAACAEMAbwBuAHQAZQBuAHQAIABQAGwAYQBjAGUA aABvAGwAZABlAHIAIAAyAAAAEwAi8e0KAACpw+cKAABQSwMEFAAGAAgAAAAhAFrjEWb+AAAA 4gEAABMAAABbQ29udGVudF9UeXBlc10ueG1slJFNT8QgEIbvJv4HMlfTUj0YY0r3YPWoRtcf MIFpS7YFwmDd/ffS/bgY18QjzLzP+wTq1XYaxUyRrXcKrssKBDntjXW9go/1U3EHghM6g6N3 pGBHDKvm8qJe7wKxyGnHCoaUwr2UrAeakEsfyOVJ5+OEKR9jLwPqDfYkb6rqVmrvErlUpIUB Td1Sh59jEo/bfH0wiTQyiIfD4tKlAEMYrcaUTeXszI+W4thQ5uR+hwcb+CprgPy1YZmcLzjm XvLTRGtIvGJMzzhlDWkiS+O/XKS5/BuyWE5c+K6zmso2cptjbzSfrM7RecBAGf1f/PuSO8Hl /oeabwAAAP//AwBQSwMEFAAGAAgAAAAhADHdX2HSAAAAjwEAAAsAAABfcmVscy8ucmVsc6SQ wWrDMAyG74O9g9G9cdpDGaNOb4VeSwe7CltJTGPLWCZt376mMFhGbzvqF/o+8e/2tzCpmbJ4 jgbWTQuKomXn42Dg63xYfYCSgtHhxJEM3Elg372/7U40YalHMvokqlKiGBhLSZ9aix0poDSc KNZNzzlgqWMedEJ7wYH0pm23Ov9mQLdgqqMzkI9uA+p8T9X8hx28zSzcl8Zy0Nz33r6iasfX eKK5UjAPVAy4LM8w09zU50C/9q7/6ZURE31X/kL8TKv1x6wXNXYPAAAA//8DAFBLAwQUAAYA CAAAACEAbHcheYIGAAA6LgAAEAAAAGRycy9zaGFwZXhtbC54bWzsWt1uIjcUvq/Ud7B8W2VJ CPlDmawSpLSV0AoFVr2MzIwJ03jsqe1hIVd9h75BH61P0s/2DAx0pUaF7jaV5wL8c47n+Jzz ffiH6/fLQpAF1yZXMqEn744p4TJVWS6fEvpxcn90SYmxTGZMKMkTuuKGvr/59pvrsm9KAmVp +mVC59aW/U7HpHNeMPNOlVyib6Z0wSyq+qlTam64tMziRYXodI+PzzsFyyW9wVByMS5H2pXS D4uRJnmW0FNKJCvwyoGSFppkJFjK50pkXJMu7dTSQZHBmqFKn01tEnuNSZlmnzDPLWuIVN9r TOjEvaDj7WlMk7DMvbScw75lQnvdq97V+UX36qyWDQJQ2kzHYFreUru8U9nq5pr1p/jGFIPr /rmdiJnFJJV+oeSTZjDZ/FIxzSkRP0qT0KuTXg/BtL7SO7vooqLbPdN2j6yKgRJu2kRb4YuQ ZzLFCxJqm+LAooaOVBUls0M5LlOn46ZVamMny5+YLokrQokv7Qc1nrOSewG2GBrrnNqWdZoS WXJbWTXLLRFuyAeeVanLE4x9jMe7t3Gc0xDGju1K8H2dCGtgzL6j+EEQ0YLpIdIWaQGTXe3B +0os4Fc05DJDFif0qJFg4gkzFJRkfDZh0/FLHTTIIgZeh7OhvNPPPi4zwODWqzA4C2EGlGTd DZU5k09I5lElU7wkxMR705lnynSUWrJgLsTOpY1P2xJ3fLYrC5SuRTHGRuJ2ZhtZa8K4zZCQ q3un1UDoydJ7eVqNX9bFe0yF2FXJZ0B0Qm91zuCGMrfp/J4VuVg5NyLL5kwbjtn4oZEA1QAt vjmhf/z6u8sL1rdsGhKL9eHIB483l2MOrKwfPhCd56rIC/VzHmICZyWUy6OPY9AbHH+KmVIy DYHyn1VCJRjPsZ/On2GlVGNfouSZa5eaXiV1yKsFHRgwistnJvIX/oOvTpnhInfc6ftGWqmZ L2e5tpgpWk1hB4IzDHrsoSKkM12q+1yIgJjQYpTIM9fofe+4lsPDwf12GSgLwW5L8dmMp7Zx UDWUdRAqN0xd9pnUisd3hTwSNniXs50OzkJHanY6UlPjVAfP2xvy6J/wRRzwkTT4RExcgNwk Dgy+C4DvDA7dBh9IbQ2+7uXZhZOI4NsPfL8dEHzdyy3wIVwRfJ7a9gXfFuRezYU74QBYYjj2 Dwep2fDxcV14/CKceHLSO3W/4juk2G2TYvfy3ElEUtyPFA+5Iun2tkgxovBQKxISkLhGYQ3M utU3t7C6Fnus9dySZotX41IGHnjL+4i4lHkD+4gtyMWlzFfd1nl6bIgxfIMcP/eEDWDky//V uUvkyzfAl39ZpkTO/KqcWTNhmy1DE2iz6dth0K2fvLjKjKvM9Wn1zglNPDA71N4wsqYjnf/a BcLmxGxDlm477p82edZ7dEeojlXJWtFX1idvZPvcjfW5zEZMM9wdfe6aKONHt5NwTbQDvHgo swfwNk7/166DmpvW7esgRG19HdRIxJPPL3DyuYn438As3sbu3K1GmMW/PLz6Lw8RZq2d3p8A AAD//+xVUY7aMBC9SuTfiibZRZU2alaClVA/+IgWLjBxHHCxx5btbIGvnqVH60k6dgKLOEJF PsiM583Y854nfIdqWOP2mL9GayWVmmwFQWIWTlb0wEXNvmicqcASTsBdQMAY4P4uwH0M5FAJ 7Bpw8N645Nq4nc2OWqGvoGb7EGyV557vhQb/1ViBFOuN0xDIdbu8c/BL4k6r/KkovuUaJLJU pHGZBreu2fP86aUoWPTea0aG+lDpLbETGGo2uyBA7bBmimWd6LfQbs41eynn85jswpgjYI1L d6hZybLeYFikFBiCobqRmilMKXvAHZ2sGZDTJmU6lcKN5fF43vKGh+wDqGxZxGci5BaxFP09 lpq8QqnGJ2LRhws2+LHupSThpmg7vCk3CdkOm/PVXFErNxItnASiwcrA9yvQUp0ijSzje3Be UDepNFRUj1bScs3+/v4zqh2gXfuQbgQRSdKOUtuo8a3i2WHQUpufclSF6KpZJ2aLLcs8Uf9M vbKsHaVKv0PN0KCgcHDyQJcPzSZZLDsIR9KVKYWDvQItT5kYb4ySZ/EjuS14oSRSBdoBTeOM 6ZPdSReoV1r1OrwpAVS0mJSLh0cTR2HsR2Ei3CjZxcXkxHsqiONRgHAsJ1X9LUr0veDhQtFj zB5j9hiz/3XMcluF49J0J/p7s/TVf/0HAAD//wMAUEsDBBQABgAIAAAAIQA9eTqG1QAAAPkA AAAPAAAAZHJzL2Rvd25yZXYueG1sRI/LTsMwEEX3SPyDNZXYUadFVFGoW0ElICuiPj5gGk8e EI8j203Sv8diQZdX9+pcnfV2Mp0YyPnWsoLFPAFBXFrdcq3gdHx/TEH4gKyxs0wKruRhu7m/ W2Om7ch7Gg6hFhHCPkMFTQh9JqUvGzLo57Ynjl1lncEQo6uldjhGuOnkMklW0mDL8aHBnnYN lT+Hi1Gw86u3o07z4mupR/mcV+Y7xw+lHmbT6wuIQFO4jcchvRTFf/mHyrWCJxDV5/XsWr1H H8gpiG7RNFqC3PwCAAD//wMAUEsBAi0AFAAGAAgAAAAhAFrjEWb+AAAA4gEAABMAAAAAAAAA AAAAAAAAAAAAAFtDb250ZW50X1R5cGVzXS54bWxQSwECLQAUAAYACAAAACEAMd1fYdIAAACP AQAACwAAAAAAAAAAAAAAAAAvAQAAX3JlbHMvLnJlbHNQSwECLQAUAAYACAAAACEAbHcheYIG AAA6LgAAEAAAAAAAAAAAAAAAAAAqAgAAZHJzL3NoYXBleG1sLnhtbFBLAQItABQABgAIAAAA IQA9eTqG1QAAAPkAAAAPAAAAAAAAAAAAAAAAANoIAABkcnMvZG93bnJldi54bWxQSwUGAAAA AAQABAD1AAAA3AkAAAAAAAAQ8AgAAADwAyABYBUTDw8AEfAcAAAAAADDCwgAAAD/////EwAx aQAAHwQEAAAAAwAAAA8ADfCIAwAAAACfDwQAAAABAAAAAACgD5YCAABJAG4AaQB0AGkAYQBs ACAAZgBvAGMAdQBzADoADQBNAHUAcwB0ADoAIABFAHEAdQBpAHAAbQBlAG4AdAAgAGgAaQBl AHIAYQByAGMAaAB5ACAADQBSAGEAYwBrAC8AIABQAG8AdwBlAHIAIABzAHUAcABwAGwAaQBl AHMALwAgAHMAaABlAGwAZgAvACAAcwBsAG8AdAAvACAAcABvAHIAdAAvACAAZgBhAGMAaQBs AGkAdAB5AC8AIABwAHIAbwB0AG8AYwBvAGwAcwAmIC8AIABzAGUAcgB2AGkAYwBlAHMADQBN AHUAcwB0ADoAIABCAGEAcwBlACAAbgBlAHQAdwBvAHIAawAgAHQAeQBwAGUAcwA6ACAASQBQ ACwAIABTAEQASAAvAFMATwBOAEUAVAAsACAAQQBUAE0ALAAgAEUAdABoAGUAcgBuAGUAdAAN AFAAcgBvAHAAbwBzAGUAZAAgAGkAbgBpAHQAaQBhAGwAIABmAG8AYwB1AHMAOgAgAEkAUAAt AFIAbwB1AHQAaQBuAGcALAAgAEUAdABoAGUAcgBuAGUAdAAsACAAUwBEAEgALwBTAE8ATgBF AFQALAAgAEEAVABNAA0AUAByAG8AcABvAHMAZQBkACAAaQBuAGkAdABpAGEAbAAgAHMAZQBy AHYAaQBjAGUAcwA6ACAAQgBhAHIAZQBiAG8AbgBlAHMAIABTAEkAUAAsACAAIABFAHQAaABl AHIAbgBlAHQAIABWAEwAQQBOAHMALAAgAEQAaQBmAGYAUwBlAHIAdgAgACgAYQBzACAAYQAg AHMAZQByAHYAaQBjAGUAIABpAG4AIAB0AGgAZQAgAG0AbwBkAGUAbABzACkAIAANAA0ADQAN AAAAoQ+yAAAADwAAAAAAABAKAFoABwAbAAAAAQAAEAoAWgAHAEgAAAACAAAQCgBaAAcA1gAA AAEAABAKAFoABwAEAAAAAAAAEAoAWgAHAA8AAAAAAAAABAAAAAIEAAACBBcAAAAABAAAAARI AAAAAAQAAAAEBAAAAAIIAAACCDMAAAAACAAAAAgIAAAAAggAAAIINQAAAAAIAAAACAgAAAAC CAAAAghaAAAAAAgAAAAIBAAAAAAMAAAADAAAqg8cAAAARwEAAAcAAAAAAAkEAAAFAAAABwAA AAAABwwAABAA8AcgAAAA////AAAAAADu7OEAH0l9AE+BvQDAUE0AAAD/AIAAgAAPAIgTOAAA AA8AihMwAAAAAAC6DxAAAABfAF8AXwBQAFAAVAAxADAAAACLExAAAAAAAOsuCAAAAC1rxwHA ym7bAAAiBAgAAAABAAAAAgAAAA8A7gMP2wAAAgDvAxgAAAAQAAAAAAAAAAAAAAAAAACAAAAA AAcAAAAPAAwEb9oAAA8AAvBn2gAAcAEI8AgAAAAvAAAALzAAAA8AA/BP2gAADwAE8CgAAAAB AAnwEAAAAAAAAAAAAAAAAAAAAAAAAAACAArwCAAAAAAwAAAFAAAADwAE8BgBAAASAArwCAAA AAIwAAAgAgAAAwEL8HAAAAAEAAAAAAB/AAEA7wGAAMAwOQWBADBlAQCCAJiyAACDADBlAQCE AJiyAACFAAAAAACHAAEAAACIAAAAAAC/AAQABAD/ARAAEQABAwIEAAA/AwAACACAwxAAAAC/ AwAAAgBUAGkAdABsAGUAIAAxAAAAAAAQ8AgAAACtACABYBV9Aw8AEfAcAAAAAADDCwgAAAD/ ////DQAxaQAAHwQEAAAAAgAAAA8ADfBUAAAAAACfDwQAAAAAAAAAAACoDw4AAABTY29wZTog Q29yZSBJSQAAoQ8UAAAADwAAAAAAAAAKAAcADwAAAAAAAAAAAKoPDgAAAA8AAAAHAAAAAAAH DAAADwAE8EkBAAASAArwCAAAAAMwAAAgAgAAEwEL8JIAAAAEAAAAAAB/AAEA7wGAAGCPNgWB ADBlAQCCAJiyAACDADBlAQCEAJiyAACFAAAAAACHAAAAAACIAAAAAAC/AAQABAC/AQEAAQD/ ARAAEQABAwMEAAA/AwAACACAwywAAAC/AwAAAgBDAG8AbgB0AGUAbgB0ACAAUABsAGEAYwBl AGgAbwBsAGQAZQByACAAMgAAAAAAEPAIAAAA8AMgAWAVEw8PABHwHAAAAAAAwwsIAAAA//// /xMAMWkAAB8EBAAAAAMAAAAPAA3wYwAAAAAAnw8EAAAAAQAAAAAAqA8BAAAADQAAoQ8iAAAA AQAAAAAAAQAKAAIABwABAAAAAAAAAAoABwACAAAAAAAAAAAAqg8cAAAAAQAAAAcAAAAAAAkE AAABAAAABwAAAAAABwwAAA8AA/Cm1wAADwAE8LoLAAABAAnwEAAAAOEAAAAqAwAAnxUAAFoQ AAACAArwCAAAAAQwAAABAgAAQwAL8CgAAAAEAAAAAAB/AAEA4QCAwxAAAAC/AwAAAgBUAGEA YgBsAGUAIAAzAAAAMwAi8UoLAACfAwEAAACgwzoAAACpw/4KAAANABAABAA7AQAA3gAAAN4A AADyAAAA3gAAAPIAAADyAAAAHAEAAPIAAADeAAAA8gAAAC0BAABZAQAAUEsDBBQABgAIAAAA IQCTXr2S+wAAAOEBAAATAAAAW0NvbnRlbnRfVHlwZXNdLnhtbJSRQU7DMBBF90jcwfIWxQ5d IISSdEHKEhAqBxjZk8RqMrY8JrS3x2nLggVFLC3r/f++plrvp1HMGNl5quWtKqVAMt466mv5 vn0q7qXgBGRh9IS1PCDLdXN9VW0PAVlkmriWQ0rhQWs2A07Aygek/NP5OEHKz9jrAGYHPepV Wd5p4ykhpSItGbKpXrJAdBbFK8T0DFPu0TayxpVvvVE5SorHE7PU1hJCGJ2BlKX1TFZNXPiu cwZVG3lzpG4WSjdVix18jEls9rnytDLiyH8E/lxQnO1VJo+lPLjAFxouG5/Nfltt/SdFnP87 u83YG87fVvp4oOYLAAD//wMAUEsDBBQABgAIAAAAIQA4/SH/1gAAAJQBAAALAAAAX3JlbHMv LnJlbHOkkMFqwzAMhu+DvYPRfXGawxijTi+j0GvpHsDYimMaW0Yy2fr2M4PBMnrbUb/Q94l/ f/hMi1qRJVI2sOt6UJgd+ZiDgffL8ekFlFSbvV0oo4EbChzGx4f9GRdb25HMsYhqlCwG5lrL q9biZkxWOiqY22YiTra2kYMu1l1tQD30/bPm3wwYN0x18gb45AdQl1tp5j/sFB2T0FQ7R0nT NEV3j6o9feQzro1iOWA14Fm+Q8a1a8+Bvu/d/dMb2JY5uiPbhG/ktn4cqGU/er3pcvwCAAD/ /wMAUEsDBBQABgAIAAAAIQCcpKwDrQYAAJQiAAAOAAAAZHJzL2Uyb0RvYy54bWzsV1uP2jgU fl9p/4Pl56VJSAIhGqi4zIyQmAoNtO9O4kBUx44cQ6Gr/e977KR0oJSlpcOsqnmKr+f6fefE N283OUNrKstM8C523tgYUR6LJOOLLn4/v2sEGJWK8IQwwWkXb2mJ3/b+/OOmCG+b4k6SnCIQ wcuw6OKlUkVoWWW8pDkp34iCcthLhcyJgqlcWIWkJeWKKFCXM6tp2y0rJxnHPRDI1/eSFMss NmKnUq/F79ZTibKkiz2MOGjr4jmJGEUutur9w0skXDwRMxHxx7I2kZxjYiLJJ/B+zzrExb0E Bx2t1DJWHWrV5k9ltX3MkU0q894NCUWaXmzNpotdv+0EkJstGNUM/KDta9NISDfqYvExyA+8 ZqcVQMxj0OC7fqfV8mrnv3hSR/lSddrqWtSIKIJWMvuJNCkNCkARCVXE6g8AJ81kqR7FJ506 FAGM67E5oa/M1JbRcdL72x82m77n9Rvt29tWw3O9ZmNge0Ej8AejYedu5Azd/j83Fsh/es0s RExj1Wi+l1mihwv4DgVDWrHddvy2XaXnyXrb9QPHqYK6d1dJtISY28CNVuVRbKRvBiLZ6lEE XwM1ErJSGQ9M7gu9aSyR4DojmsIJbfTnGCWZVJBIYHeZqyGjBMhem6R6E7Kl0ngC4K4lUJ5M iSSP3xWkkU5CUKlDsjNNxRUHYK0y+plNH9Eyllmhy8lzOKB9q1JrcuL6rt3pXC8n6MN4/Bxu 7bKzy9tJSBUAgpzIicEPDB7NIOMJVHIzJGwBeGIAM5pCdZ597uKO43k2wE0qZo5QMuED+dHw MBVc9c0VslICA1JVxuttuLIE4EIBnq54DOIdE27GZ4WBUlnE01ihNQGxDlAEdFRIfHpiQFNN BX1WldXZL8dg7etuP1UnztW70WrI5HxjGBatZp93wztwYzd5B93RHIHyMCmVGUI0gD+VeRDD 77MzMmE5ydERXWcxtSYZqJlRaSZTKZSIocqMuW7RMd3Dyn+y8+XBvWcv9K7/Tc25NCEPIqHs TO8OdNVwOVlXDzMXuIFjX7MsnenaDtHnOPWDRami0649Ud54P4MWfyGT5ttin0XfNNQ9RREp KQNKmhK38/ZYj0UPBzH7afsp/CMdw9dxgaeNSqjM1jRBqRQ5ihkpS5R/A91rFZKXoP/X1ub5 bXiNYN3oHk062RpaTBOj1z73y/rcSTAOSaFW8DxEEV2SdSbkX0iuGMz3iPPDYLx2bRx/2LP3 d+pqB44dFJz6pXFGBR6aQvNwvJBdK8Gv1QZej7/1X/XJatNnROZI0byA1wf9Zb3P8+HRfs0X 4vj1hfgCL8R/AQAA///sV21v2jAQ/itWPnUSry2oFJVOga4SEtCIdNK+OskB2Rw7so+u9Nfv 7NC3SC2BTtUqjQ/GL+fjfPc8d8d5k/dNHvsLvDjn/Wg9EvrmrlnMw/vH6ZWS+LiYKQlOBHk0 MeimCSzmgaYp6csDbRUUQ6CZ4HI58BKo+zceiwZe22NJqnEz8FoeMxmOBHBpF4XSixnPwOQ8 BtOcAnJmdZJ5NL5Pb6YSECVlIJOAa062vzTzVQPt+5wteDdUycY+FOOHl2NcHDk7UbPVwDvp nfTaLa+Qc+PjvYjuu5u8LwyGuBGFW0k/7+80bOvrN22xtu3xmxQ4lnE9GXid7ulxi6JDq7kL k7gVLnCpTECi2+JiSVETFExY3PAovB94Z+1Ox17TSNL0DXwih/qXu7kgCPnuCl+j8sjdmMrt MYmuCCSpXAZrGZP6tnOYkGHu7CeEBjGyW26NaNmPxQqF4rnEEBb2rVYWTSH7IEZ7T6dbrL8i 9wFMAFn/Hu7gwCXo9BbYQquMwV1qyFdLNpqM2VEJwAUlKsPXMknlmCr59UslTRE3IFIJLp6v ssKqZUoTFEy6lIxL+F3SvhPP5UywN9G6J62zs89DtC2jXM47IIgjJQ3qdUxQB4wbL7y9t+s+ WY56p+t8wXXGELKcchCwzNaYg2pDlRRMsUAX3qIcdE573c4B5eAAhEz4BvQLXDwU0HK22IPj 43FJ405eV3HSnnWq5IxtPq3QWVxHP4HqyNQ2AjvaiipJ+ijXChVucgeilUpMXeWgqbAROWss 4QQse2rKqfavOK2ErG6nd3xI/is5c9umvZnpHbLYv4CEp47lebPyv0n5yHbdj6lTN4xadWLA DlZVQddROJsGNdvs1NiMapuStJiO7db1fOjX2I/ppD4PRjUWXvtBo9HYm12HthqWcZFwjedS 83yVxpdE8edrmuf9b8fqStN/mIs/AAAA//8DAFBLAwQUAAYACAAAACEAIJiPLMQAAADaAAAA DwAAAGRycy9kb3ducmV2LnhtbESPQWsCMRSE70L/Q3gFb5ptsV1ZjVJE0YMHtRXx9tg8N0s3 L+sm6vbfG6HgcZiZb5jxtLWVuFLjS8cK3voJCOLc6ZILBT/fi94QhA/IGivHpOCPPEwnL50x ZtrdeEvXXShEhLDPUIEJoc6k9Lkhi77vauLonVxjMUTZFFI3eItwW8n3JPmUFkuOCwZrmhnK f3cXq+Aw+Eiq46I4zdbzs9mny3TfblKluq/t1whEoDY8w//tlVYwgMeVeAPk5A4AAP//AwBQ SwECLQAUAAYACAAAACEAk169kvsAAADhAQAAEwAAAAAAAAAAAAAAAAAAAAAAW0NvbnRlbnRf VHlwZXNdLnhtbFBLAQItABQABgAIAAAAIQA4/SH/1gAAAJQBAAALAAAAAAAAAAAAAAAAACwB AABfcmVscy8ucmVsc1BLAQItABQABgAIAAAAIQCcpKwDrQYAAJQiAAAOAAAAAAAAAAAAAAAA ACsCAABkcnMvZTJvRG9jLnhtbFBLAQItABQABgAIAAAAIQAgmI8sxAAAANoAAAAPAAAAAAAA AAAAAAAAAAQJAABkcnMvZG93bnJldi54bWxQSwUGAAAAAAQABADzAAAA9QkAAAAAAAAQ8AgA AAAqA+EAnxVaEA8ABPAlBQAAEgAK8AgAAAAFMAAAAgoAAHMAC/AqAAAAfwAAAAQAgACgtSIF vwAEAAQAgQEEAAAIvwEQABQA/wEAAAgAvwMAAAIAEwAi8dwDAACpw9YDAABQSwMEFAAGAAgA AAAhANvh9svuAAAAhQEAABMAAABbQ29udGVudF9UeXBlc10ueG1sfJDPTsMwDIfvSLxD5Ctq UzgghNruQOEICI0HsBK3jdY6URzK9vak27gg4Og/P3+fXG/286QWiuI8N3BdVqCIjbeOhwbe t0/FHShJyBYnz9TAgQQ27eVFvT0EEpXTLA2MKYV7rcWMNKOUPhDnSe/jjCmXcdABzQ4H0jdV dauN50ScirTegLbuqMePKanHfW6fTCJNAurhtLiyGsAQJmcwZVO9sP1BKc6EMiePOzK6IFdZ A/SvhHXyN+Cce8mvic6SesWYnnHOGtpG0dZ/cqSl/P/IajlL4fveGSq7KF2OvdHybaWPT2y/ AAAA//8DAFBLAwQUAAYACAAAACEAWvQsW78AAAAVAQAACwAAAF9yZWxzLy5yZWxzbM/BasMw DAbg+2DvYHRflO5QxojTW6HX0j6AsZXELLaMZLL17Wd6aseOkvg/ScPhJ61mI9HI2cKu68FQ 9hxini1cL8e3DzBaXQ5u5UwWbqRwGF9fhjOtrraQLrGoaUpWC0ut5RNR/ULJaceFcptMLMnV VsqMxfkvNxO+9/0e5dGA8ck0p2BBTmEH5nIrbfMfO0UvrDzVznNCnqbo/1Mx8Hc+09YUJzNV C0H03hTaunYc4Djg0zPjLwAAAP//AwBQSwMEFAAGAAgAAAAhAJQ/wgPVAAAA+QAAAA8AAABk cnMvZG93bnJldi54bWxEj8tuwjAQRfdI/QdrKrFBxSmLggIGVY0qqu54iS6HeEhC43FqGxL+ vhYLWN65o3N1ZovO1OJCzleWFbwOExDEudUVFwq2m8+XCQgfkDXWlknBlTws5k+9Gabatryi yzoUIkLYp6igDKFJpfR5SQb90DbEsTtaZzDE6AqpHbYRbmo5SpI3abDiuFBiQx8l5b/rs1Fg 602bjb/dYDLWI7P/ybLTvj0p1X/u3qcgAnXh8bylP7s738sb6ksriCbH5fXgKr1CH8jdLtE0 WoKc/wMAAP//AwBQSwECLQAUAAYACAAAACEA2+H2y+4AAACFAQAAEwAAAAAAAAAAAAAAAAAA AAAAW0NvbnRlbnRfVHlwZXNdLnhtbFBLAQItABQABgAIAAAAIQBa9CxbvwAAABUBAAALAAAA AAAAAAAAAAAAAB8BAABfcmVscy8ucmVsc1BLAQItABQABgAIAAAAIQCUP8ID1QAAAPkAAAAP AAAAAAAAAAAAAAAAAAcCAABkcnMvZG93bnJldi54bWxQSwUGAAAAAAMAAwC3AAAACQMAAAAA AAAP8BAAAADhAAAAKgMAAIQDAABlBAAADwAR8E4AAAAPAIgTRgAAAA8AihM+AAAAAAC6Dw4A AABfAF8AXwBQAFAAVAA5AAAAixMgAAAAAACsDxgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAPAA3wiQAAAAAAnw8EAAAABAAAAAAAqA8FAAAATGF5ZXIAAKEPMAAAAAYAAAAAAAAACgAH AAUAAAABAEUAAQABAAEA/////gEAAAABBEUAAQQBAAEA/////gAAqg8cAAAABQAAAAcAAAAA AAcMAAABAAAABwAAAAAABwwAAAAApg8MAAAA8AAAANQB0ALwAxAFDwAE8CsFAAASAArwCAAA AAYwAAACCgAAcwAL8CoAAAB/AAAABACAAIC6IgW/AAQABACBAQQAAAi/ARAAFAD/AQAACAC/ AwAAAgATACLx3AMAAKnD1gMAAFBLAwQUAAYACAAAACEA2+H2y+4AAACFAQAAEwAAAFtDb250 ZW50X1R5cGVzXS54bWx8kM9OwzAMh+9IvEPkK2pTOCCE2u5A4QgIjQewEreN1jpRHMr29qTb uCDg6D8/f59cb/bzpBaK4jw3cF1WoIiNt46HBt63T8UdKEnIFifP1MCBBDbt5UW9PQQSldMs DYwphXutxYw0o5Q+EOdJ7+OMKZdx0AHNDgfSN1V1q43nRJyKtN6Atu6ox48pqcd9bp9MIk0C 6uG0uLIawBAmZzBlU72w/UEpzoQyJ487MrogV1kD9K+EdfI34Jx7ya+JzpJ6xZiecc4a2kbR 1n9ypKX8/8hqOUvh+94ZKrsoXY690fJtpY9PbL8AAAD//wMAUEsDBBQABgAIAAAAIQBa9Cxb vwAAABUBAAALAAAAX3JlbHMvLnJlbHNsz8FqwzAMBuD7YO9gdF+U7lDGiNNbodfSPoCxlcQs toxksvXtZ3pqx46S+D9Jw+EnrWYj0cjZwq7rwVD2HGKeLVwvx7cPMFpdDm7lTBZupHAYX1+G M62utpAusahpSlYLS63lE1H9Qslpx4Vym0wsydVWyozF+S83E773/R7l0YDxyTSnYEFOYQfm citt8x87RS+sPNXOc0Kepuj/UzHwdz7T1hQnM1ULQfTeFNq6dhzgOODTM+MvAAAA//8DAFBL AwQUAAYACAAAACEAgKh3AtUAAAD5AAAADwAAAGRycy9kb3ducmV2LnhtbESPQWvCQBCF7wX/ wzIFL6VutFAluookSEtvasEex+yYxGZnw+5q4r/v4sEe37zhe3yLVW8acSXna8sKxqMEBHFh dc2lgu/95nUGwgdkjY1lUnAjD6vl4GmBqbYdb+m6C6WIEPYpKqhCaFMpfVGRQT+yLXHsTtYZ DDG6UmqHXYSbRk6S5F0arDkuVNhSVlHxu7sYBbbZd/n0y73MpnpiDj95fj50Z6WGz/16DiJQ H/6f3zKzvmSP8o761AqiyenjdnS13qIP5O6XaBotQS7/AAAA//8DAFBLAQItABQABgAIAAAA IQDb4fbL7gAAAIUBAAATAAAAAAAAAAAAAAAAAAAAAABbQ29udGVudF9UeXBlc10ueG1sUEsB Ai0AFAAGAAgAAAAhAFr0LFu/AAAAFQEAAAsAAAAAAAAAAAAAAAAAHwEAAF9yZWxzLy5yZWxz UEsBAi0AFAAGAAgAAAAhAICodwLVAAAA+QAAAA8AAAAAAAAAAAAAAAAABwIAAGRycy9kb3du cmV2LnhtbFBLBQYAAAAAAwADALcAAAAJAwAAAAAAAA/wEAAAAIQDAAAqAwAAnxUAAGUEAAAP ABHwTgAAAA8AiBNGAAAADwCKEz4AAAAAALoPDgAAAF8AXwBfAFAAUABUADkAAACLEyAAAAAA AKwPGAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA8ADfCPAAAAAACfDwQAAAAEAAAAAACo DwsAAABEZXNjcmlwdGlvbgAAoQ8wAAAADAAAAAAAAAAKAAcACwAAAAEARQABAAEAAQD////+ AQAAAAEERQABBAEAAQD////+AACqDxwAAAALAAAABwAAAAAABwwAAAEAAAAHAAAAAAAHDAAA AACmDwwAAADwAAAA1AHQAvADEAUPAATwJgUAABIACvAIAAAABzAAAAIKAABzAAvwKgAAAH8A AAAEAIAAoLsiBb8ABAAEAIEB0NjoAL8BEAAUAP8BAAAIAL8DAAACABMAIvHbAwAAqcPVAwAA UEsDBBQABgAIAAAAIQDb4fbL7gAAAIUBAAATAAAAW0NvbnRlbnRfVHlwZXNdLnhtbHyQz07D MAyH70i8Q+QralM4IITa7kDhCAiNB7ASt43WOlEcyvb2pNu4IODoPz9/n1xv9vOkForiPDdw XVagiI23jocG3rdPxR0oScgWJ8/UwIEENu3lRb09BBKV0ywNjCmFe63FjDSjlD4Q50nv44wp l3HQAc0OB9I3VXWrjedEnIq03oC27qjHjympx31un0wiTQLq4bS4shrAECZnMGVTvbD9QSnO hDInjzsyuiBXWQP0r4R18jfgnHvJr4nOknrFmJ5xzhraRtHWf3Kkpfz/yGo5S+H73hkquyhd jr3R8m2lj09svwAAAP//AwBQSwMEFAAGAAgAAAAhAFr0LFu/AAAAFQEAAAsAAABfcmVscy8u cmVsc2zPwWrDMAwG4Ptg72B0X5TuUMaI01uh19I+gLGVxCy2jGSy9e1nemrHjpL4P0nD4Set ZiPRyNnCruvBUPYcYp4tXC/Htw8wWl0ObuVMFm6kcBhfX4Yzra62kC6xqGlKVgtLreUTUf1C yWnHhXKbTCzJ1VbKjMX5LzcTvvf9HuXRgPHJNKdgQU5hB+ZyK23zHztFL6w81c5zQp6m6P9T MfB3PtPWFCczVQtB9N4U2rp2HOA44NMz4y8AAAD//wMAUEsDBBQABgAIAAAAIQC8bWAT1AAA APkAAAAPAAAAZHJzL2Rvd25yZXYueG1sRI9BS8NAEIXvQv/DMoIXsRsFRWK3xQoSbU+N4nma nSYh2dmwu0m3/nqXHuzxzRu+x7dYRdOLiZxvLSu4n2cgiCurW64VfH+93z2D8AFZY2+ZFJzI w2o5u1pgru2RdzSVoRYJwj5HBU0IQy6lrxoy6Od2IE7dwTqDIUVXS+3wmOCmlw9Z9iQNtpwW GhzoraGqK0ejAG83sXAufsrH6SeOv9uu6PaZUjfX8fUFRKAYLs9rcuU4/pdn1IdWkEwOxWnv Wr1DH8idL8k0WYJc/gEAAP//AwBQSwECLQAUAAYACAAAACEA2+H2y+4AAACFAQAAEwAAAAAA AAAAAAAAAAAAAAAAW0NvbnRlbnRfVHlwZXNdLnhtbFBLAQItABQABgAIAAAAIQBa9CxbvwAA ABUBAAALAAAAAAAAAAAAAAAAAB8BAABfcmVscy8ucmVsc1BLAQItABQABgAIAAAAIQC8bWAT 1AAAAPkAAAAPAAAAAAAAAAAAAAAAAAcCAABkcnMvZG93bnJldi54bWxQSwUGAAAAAAMAAwC3 AAAACAMAAAAAAAAP8BAAAADhAAAAZQQAAIQDAABLBQAADwAR8E4AAAAPAIgTRgAAAA8AihM+ AAAAAAC6Dw4AAABfAF8AXwBQAFAAVAA5AAAAixMgAAAAAACsDxgAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAPAA3wiwAAAAAAnw8EAAAABAAAAAAAqA8JAAAATGF5ZXIgVklJAAChDy4A AAAKAAAAAAAAAAoABwAJAAAAAABFAAEAAQAAAAD+AQAAAAAERQAABAEAAQAAAAD+AACqDxwA AAAJAAAABwAAAAAABwwAAAEAAAAHAAAAAAAHDAAAAACmDwwAAADwAAAA1AHQAvADEAUPAATw zgQAABIACvAIAAAACDAAAAIKAABzAAvwKgAAAH8AAAAEAIAAIL0iBb8ABAAEAIEB0NjoAL8B EAAUAP8BAAAIAL8DAAACABMAIvHbAwAAqcPVAwAAUEsDBBQABgAIAAAAIQDb4fbL7gAAAIUB AAATAAAAW0NvbnRlbnRfVHlwZXNdLnhtbHyQz07DMAyH70i8Q+QralM4IITa7kDhCAiNB7AS t43WOlEcyvb2pNu4IODoPz9/n1xv9vOkForiPDdwXVagiI23jocG3rdPxR0oScgWJ8/UwIEE Nu3lRb09BBKV0ywNjCmFe63FjDSjlD4Q50nv44wpl3HQAc0OB9I3VXWrjedEnIq03oC27qjH jympx31un0wiTQLq4bS4shrAECZnMGVTvbD9QSnOhDInjzsyuiBXWQP0r4R18jfgnHvJr4nO knrFmJ5xzhraRtHWf3Kkpfz/yGo5S+H73hkquyhdjr3R8m2lj09svwAAAP//AwBQSwMEFAAG AAgAAAAhAFr0LFu/AAAAFQEAAAsAAABfcmVscy8ucmVsc2zPwWrDMAwG4Ptg72B0X5TuUMaI 01uh19I+gLGVxCy2jGSy9e1nemrHjpL4P0nD4SetZiPRyNnCruvBUPYcYp4tXC/Htw8wWl0O buVMFm6kcBhfX4Yzra62kC6xqGlKVgtLreUTUf1CyWnHhXKbTCzJ1VbKjMX5LzcTvvf9HuXR gPHJNKdgQU5hB+ZyK23zHztFL6w81c5zQp6m6P9TMfB3PtPWFCczVQtB9N4U2rp2HOA44NMz 4y8AAAD//wMAUEsDBBQABgAIAAAAIQA5a0Rs1AAAAPkAAAAPAAAAZHJzL2Rvd25yZXYueG1s RI9BSwMxEIXvgv8hjOBF2qyCImvTIoqs1tNW6Xm6me6G3UyWJN2m/npDD3p884bv8S1WyQ5i Ih+MYwW38wIEceO04VbB99fb7BFEiMgaB8ek4EQBVsvLiwWW2h25pmkTW5EhHEpU0MU4llKG piOLYe5G4tztnbcYc/St1B6PGW4HeVcUD9Ki4bzQ4UgvHTX95mAV4M06Vd6nD3k/bdPh57Ov +l2h1PVVen4CESnF/+cJX029/ivPqHetIJvsq9POG11jiOTPl2yaLUEufwEAAP//AwBQSwEC LQAUAAYACAAAACEA2+H2y+4AAACFAQAAEwAAAAAAAAAAAAAAAAAAAAAAW0NvbnRlbnRfVHlw ZXNdLnhtbFBLAQItABQABgAIAAAAIQBa9CxbvwAAABUBAAALAAAAAAAAAAAAAAAAAB8BAABf cmVscy8ucmVsc1BLAQItABQABgAIAAAAIQA5a0Rs1AAAAPkAAAAPAAAAAAAAAAAAAAAAAAcC AABkcnMvZG93bnJldi54bWxQSwUGAAAAAAMAAwC3AAAACAMAAAAAAAAP8BAAAACEAwAAZQQA AJ8VAABLBQAADwAN8IkAAAAAAJ8PBAAAAAQAAAAAAKgPJQAAAERldmljZS9MaW5lL1NlcnZp Y2UvUHJvdG9jb2wgSW5zdGFuY2UAAKEPHgAAACYAAAAAAAAACgAHACYAAAABAEUAAQABAAEA AAAA/gAAqg8OAAAAJgAAAAcAAAAAAAcMAAAAAKYPDAAAAPAAAADUAdAC8AMQBQ8ABPAmBQAA EgAK8AgAAAAJMAAAAgoAAHMAC/AqAAAAfwAAAAQAgACgviIFvwAEAAQAgQHp7fQAvwEQABQA /wEAAAgAvwMAAAIAEwAi8dwDAACpw9YDAABQSwMEFAAGAAgAAAAhANvh9svuAAAAhQEAABMA AABbQ29udGVudF9UeXBlc10ueG1sfJDPTsMwDIfvSLxD5CtqUzgghNruQOEICI0HsBK3jdY6 URzK9vak27gg4Og/P3+fXG/286QWiuI8N3BdVqCIjbeOhwbet0/FHShJyBYnz9TAgQQ27eVF vT0EEpXTLA2MKYV7rcWMNKOUPhDnSe/jjCmXcdABzQ4H0jdVdauN50ScirTegLbuqMePKanH fW6fTCJNAurhtLiyGsAQJmcwZVO9sP1BKc6EMiePOzK6IFdZA/SvhHXyN+Cce8mvic6SesWY nnHOGtpG0dZ/cqSl/P/IajlL4fveGSq7KF2OvdHybaWPT2y/AAAA//8DAFBLAwQUAAYACAAA ACEAWvQsW78AAAAVAQAACwAAAF9yZWxzLy5yZWxzbM/BasMwDAbg+2DvYHRflO5QxojTW6HX 0j6AsZXELLaMZLL17Wd6aseOkvg/ScPhJ61mI9HI2cKu68FQ9hxini1cL8e3DzBaXQ5u5UwW bqRwGF9fhjOtrraQLrGoaUpWC0ut5RNR/ULJaceFcptMLMnVVsqMxfkvNxO+9/0e5dGA8ck0 p2BBTmEH5nIrbfMfO0UvrDzVznNCnqbo/1Mx8Hc+09YUJzNVC0H03hTaunYc4Djg0zPjLwAA AP//AwBQSwMEFAAGAAgAAAAhANXtFZzVAAAA+QAAAA8AAABkcnMvZG93bnJldi54bWxEj0FO wzAQRfdI3MEaJHbUoYsKhboVFKFUtBJq6AGGeBKbxuPIdtv09lhdwPLPH72vN1+OrhcnCtF6 VvA4KUAQN15b7hTsv94fnkDEhKyx90wKLhRhubi9mWOp/Zl3dKpTJzKEY4kKTEpDKWVsDDmM Ez8Q5671wWHKMXRSBzxnuOvltChm0qHlvGBwoJWh5lAfnYLt9GdVO9ONb25TVYfthmb79qjU /d348gwi0Zj+n+3H+vUT/8oraq0VZJO2unwHq3cYE4XrJZtmS5CLXwAAAP//AwBQSwECLQAU AAYACAAAACEA2+H2y+4AAACFAQAAEwAAAAAAAAAAAAAAAAAAAAAAW0NvbnRlbnRfVHlwZXNd LnhtbFBLAQItABQABgAIAAAAIQBa9CxbvwAAABUBAAALAAAAAAAAAAAAAAAAAB8BAABfcmVs cy8ucmVsc1BLAQItABQABgAIAAAAIQDV7RWc1QAAAPkAAAAPAAAAAAAAAAAAAAAAAAcCAABk cnMvZG93bnJldi54bWxQSwUGAAAAAAMAAwC3AAAACQMAAAAAAAAP8BAAAADhAAAASwUAAIQD AAAyBgAADwAR8E4AAAAPAIgTRgAAAA8AihM+AAAAAAC6Dw4AAABfAF8AXwBQAFAAVAA5AAAA ixMgAAAAAACsDxgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPAA3wigAAAAAAnw8EAAAA BAAAAAAAqA8IAAAATGF5ZXIgVkkAAKEPLgAAAAkAAAAAAAAACgAHAAgAAAAAAEUAAQABAAAA AP4BAAAAAARFAAAEAQABAAAAAP4AAKoPHAAAAAgAAAAHAAAAAAAHDAAAAQAAAAcAAAAAAAcM AAAAAKYPDAAAAPAAAADUAdAC8AMQBQ8ABPBABQAAEgAK8AgAAAAKMAAAAgoAAHMAC/AqAAAA fwAAAAQAgAAAwCIFvwAEAAQAgQHp7fQAvwEQABQA/wEAAAgAvwMAAAIAEwAi8doDAACpw9QD AABQSwMEFAAGAAgAAAAhANvh9svuAAAAhQEAABMAAABbQ29udGVudF9UeXBlc10ueG1sfJDP TsMwDIfvSLxD5CtqUzgghNruQOEICI0HsBK3jdY6URzK9vak27gg4Og/P3+fXG/286QWiuI8 N3BdVqCIjbeOhwbet0/FHShJyBYnz9TAgQQ27eVFvT0EEpXTLA2MKYV7rcWMNKOUPhDnSe/j jCmXcdABzQ4H0jdVdauN50ScirTegLbuqMePKanHfW6fTCJNAurhtLiyGsAQJmcwZVO9sP1B Kc6EMiePOzK6IFdZA/SvhHXyN+Cce8mvic6SesWYnnHOGtpG0dZ/cqSl/P/IajlL4fveGSq7 KF2OvdHybaWPT2y/AAAA//8DAFBLAwQUAAYACAAAACEAWvQsW78AAAAVAQAACwAAAF9yZWxz Ly5yZWxzbM/BasMwDAbg+2DvYHRflO5QxojTW6HX0j6AsZXELLaMZLL17Wd6aseOkvg/ScPh J61mI9HI2cKu68FQ9hxini1cL8e3DzBaXQ5u5UwWbqRwGF9fhjOtrraQLrGoaUpWC0ut5RNR /ULJaceFcptMLMnVVsqMxfkvNxO+9/0e5dGA8ck0p2BBTmEH5nIrbfMfO0UvrDzVznNCnqbo /1Mx8Hc+09YUJzNVC0H03hTaunYc4Djg0zPjLwAAAP//AwBQSwMEFAAGAAgAAAAhAJXWt8LT AAAA+QAAAA8AAABkcnMvZG93bnJldi54bWxEj8FuwjAQRO9I/QdrK/UGTjkglGJQlapKJbgQ EOdtvIldYjuyDSR/X4sDHGdn9UZvtRlMx67kg3ZWwPssA0a2dlLbVsDx8D1dAgsRrcTOWRIw UoDN+mWywly6m93TtYotSxAbchSgYuxzzkOtyGCYuZ5s6hrnDcYUfculx1uCm47Ps2zBDWqb FhT2VCiqz9XFCNjN/4rKqHb4MtuyPO+2tDg2FyHeXofPD2CRhvh8bnShT+OjvKN+pIBk0pTj r9dyjyGSv1+SabIEvv4HAAD//wMAUEsBAi0AFAAGAAgAAAAhANvh9svuAAAAhQEAABMAAAAA AAAAAAAAAAAAAAAAAFtDb250ZW50X1R5cGVzXS54bWxQSwECLQAUAAYACAAAACEAWvQsW78A AAAVAQAACwAAAAAAAAAAAAAAAAAfAQAAX3JlbHMvLnJlbHNQSwECLQAUAAYACAAAACEAlda3 wtMAAAD5AAAADwAAAAAAAAAAAAAAAAAHAgAAZHJzL2Rvd25yZXYueG1sUEsFBgAAAAADAAMA twAAAAcDAAAAAAAAD/AQAAAAhAMAAEsFAACfFQAAMgYAAA8AEfBOAAAADwCIE0YAAAAPAIoT PgAAAAAAug8OAAAAXwBfAF8AUABQAFQAOQAAAIsTIAAAAAAArA8YAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAADwAN8KYAAAAAAJ8PBAAAAAQAAAAAAKgPIgAAAERldmljZS9MaW5lL1Nl cnZpY2UvUHJvdG9jb2wgTW9kZWwAAKEPMAAAACMAAAAAAAAACgAHACIAAAABAEUAAQABAAEA AAAA/gEAAAABBEUAAQQBAAEAAAAA/gAAqg8cAAAAIgAAAAcAAAAAAAcMAAABAAAABwAAAAAA BwwAAAAApg8MAAAA8AAAANQB0ALwAxAFDwAE8CUFAAASAArwCAAAAAswAAACCgAAcwAL8CoA AAB/AAAABACAAIDBIgW/AAQABACBAdDY6AC/ARAAFAD/AQAACAC/AwAAAgATACLx3AMAAKnD 1gMAAFBLAwQUAAYACAAAACEA2+H2y+4AAACFAQAAEwAAAFtDb250ZW50X1R5cGVzXS54bWx8 kM9OwzAMh+9IvEPkK2pTOCCE2u5A4QgIjQewEreN1jpRHMr29qTbuCDg6D8/f59cb/bzpBaK 4jw3cF1WoIiNt46HBt63T8UdKEnIFifP1MCBBDbt5UW9PQQSldMsDYwphXutxYw0o5Q+EOdJ 7+OMKZdx0AHNDgfSN1V1q43nRJyKtN6Atu6ox48pqcd9bp9MIk0C6uG0uLIawBAmZzBlU72w /UEpzoQyJ487MrogV1kD9K+EdfI34Jx7ya+JzpJ6xZiecc4a2kbR1n9ypKX8/8hqOUvh+94Z KrsoXY690fJtpY9PbL8AAAD//wMAUEsDBBQABgAIAAAAIQBa9CxbvwAAABUBAAALAAAAX3Jl bHMvLnJlbHNsz8FqwzAMBuD7YO9gdF+U7lDGiNNbodfSPoCxlcQstoxksvXtZ3pqx46S+D9J w+EnrWYj0cjZwq7rwVD2HGKeLVwvx7cPMFpdDm7lTBZupHAYX1+GM62utpAusahpSlYLS63l E1H9Qslpx4Vym0wsydVWyozF+S83E773/R7l0YDxyTSnYEFOYQfmcitt8x87RS+sPNXOc0Ke puj/UzHwdz7T1hQnM1ULQfTeFNq6dhzgOODTM+MvAAAA//8DAFBLAwQUAAYACAAAACEAXXpj JtUAAAD5AAAADwAAAGRycy9kb3ducmV2LnhtbESPQUvDQBCF74L/YRnBi9hNFVuJ3ZYiSKxe TBXP0+w0CcnOht1tuvXXu/Sgxzdv+B7fYhVNL0ZyvrWsYDrJQBBXVrdcK/j6fLl9BOEDssbe Mik4kYfV8vJigbm2Ry5p3IZaJAj7HBU0IQy5lL5qyKCf2IE4dXvrDIYUXS21w2OCm17eZdlM Gmw5LTQ40HNDVbc9GAV48xYL5+JGPozf8fDz3hXdLlPq+iqun0AEiuH/eXP/MS/5rzyjXrWC ZLIvTjvX6hJ9IHe+JNNkCXL5CwAA//8DAFBLAQItABQABgAIAAAAIQDb4fbL7gAAAIUBAAAT AAAAAAAAAAAAAAAAAAAAAABbQ29udGVudF9UeXBlc10ueG1sUEsBAi0AFAAGAAgAAAAhAFr0 LFu/AAAAFQEAAAsAAAAAAAAAAAAAAAAAHwEAAF9yZWxzLy5yZWxzUEsBAi0AFAAGAAgAAAAh AF16YybVAAAA+QAAAA8AAAAAAAAAAAAAAAAABwIAAGRycy9kb3ducmV2LnhtbFBLBQYAAAAA AwADALcAAAAJAwAAAAAAAA/wEAAAAOEAAAAyBgAAhAMAACQHAAAPABHwTgAAAA8AiBNGAAAA DwCKEz4AAAAAALoPDgAAAF8AXwBfAFAAUABUADkAAACLEyAAAAAAAKwPGAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAA8ADfCJAAAAAACfDwQAAAAEAAAAAACoDwcAAABMYXllciBWAACh Dy4AAAAIAAAAAAAAAAoABwAHAAAAAABFAAEAAQAAAAD+AQAAAAAERQAABAEAAQAAAAD+AACq DxwAAAAHAAAABwAAAAAABwwAAAEAAAAHAAAAAAAHDAAAAACmDwwAAADwAAAA1AHQAvADEAUP AATwAAUAABIACvAIAAAADDAAAAIKAABzAAvwKgAAAH8AAAAEAIAAoMIiBb8ABAAEAIEB0Njo AL8BEAAUAP8BAAAIAL8DAAACABMAIvHdAwAAqcPXAwAAUEsDBBQABgAIAAAAIQDb4fbL7gAA AIUBAAATAAAAW0NvbnRlbnRfVHlwZXNdLnhtbHyQz07DMAyH70i8Q+QralM4IITa7kDhCAiN B7ASt43WOlEcyvb2pNu4IODoPz9/n1xv9vOkForiPDdwXVagiI23jocG3rdPxR0oScgWJ8/U wIEENu3lRb09BBKV0ywNjCmFe63FjDSjlD4Q50nv44wpl3HQAc0OB9I3VXWrjedEnIq03oC2 7qjHjympx31un0wiTQLq4bS4shrAECZnMGVTvbD9QSnOhDInjzsyuiBXWQP0r4R18jfgnHvJ r4nOknrFmJ5xzhraRtHWf3Kkpfz/yGo5S+H73hkquyhdjr3R8m2lj09svwAAAP//AwBQSwME FAAGAAgAAAAhAFr0LFu/AAAAFQEAAAsAAABfcmVscy8ucmVsc2zPwWrDMAwG4Ptg72B0X5Tu UMaI01uh19I+gLGVxCy2jGSy9e1nemrHjpL4P0nD4SetZiPRyNnCruvBUPYcYp4tXC/Htw8w Wl0ObuVMFm6kcBhfX4Yzra62kC6xqGlKVgtLreUTUf1CyWnHhXKbTCzJ1VbKjMX5LzcTvvf9 HuXRgPHJNKdgQU5hB+ZyK23zHztFL6w81c5zQp6m6P9TMfB3PtPWFCczVQtB9N4U2rp2HOA4 4NMz4y8AAAD//wMAUEsDBBQABgAIAAAAIQBsv3If1gAAAPkAAAAPAAAAZHJzL2Rvd25yZXYu eG1sRI/LTsMwEEX3SPyDNUhsUOtQCYRC3apCgvBY9UW303iaRInHke2mLl+P1QUs79zRuTrT eTSdGMj5xrKC+3EGgri0uuFKwWb9OnoC4QOyxs4yKTiTh/ns+mqKubYnXtKwCpVIEPY5KqhD 6HMpfVmTQT+2PXHqDtYZDCm6SmqHpwQ3nZxk2aM02HBaqLGnl5rKdnU0CvDuMxbOxQ/5MHzH 489XW7T7TKnbm7h4BhEohv/nt4nZbc1feUG9awXJ5FCc967RS/SB3OWSTJMlyNkvAAAA//8D AFBLAQItABQABgAIAAAAIQDb4fbL7gAAAIUBAAATAAAAAAAAAAAAAAAAAAAAAABbQ29udGVu dF9UeXBlc10ueG1sUEsBAi0AFAAGAAgAAAAhAFr0LFu/AAAAFQEAAAsAAAAAAAAAAAAAAAAA HwEAAF9yZWxzLy5yZWxzUEsBAi0AFAAGAAgAAAAhAGy/ch/WAAAA+QAAAA8AAAAAAAAAAAAA AAAABwIAAGRycy9kb3ducmV2LnhtbFBLBQYAAAAAAwADALcAAAAKAwAAAAAAAA/wEAAAAIQD AAAyBgAAnxUAACQHAAAPAA3wuQAAAAAAnw8EAAAABAAAAAAAqA9FAAAARGV2aWNlL0xpbmUv U2VydmljZS9Qcm90b2NvbCBUeXBlIE1ldGEgTW9kZWwgZGVyaXZlZCBmcm9tIGNsYXNzIG1v ZGVsAAChDy4AAABGAAAAAAAAAAoABwAsAAAAAQBFAAEAAQABAAAAAP4aAAAAAABFAAEAAQAA AAD+AACqDw4AAABGAAAABwAAAAAACQQAAAAApg8MAAAA8AAAANQB0ALwAxAFDwAE8OgEAAAS AArwCAAAAA0wAAACCgAAcwAL8CoAAAB/AAAABACAAMDDIgW/AAQABACBAent9AC/ARAAFAD/ AQAACAC/AwAAAgATACLx2gMAAKnD1AMAAFBLAwQUAAYACAAAACEA2+H2y+4AAACFAQAAEwAA AFtDb250ZW50X1R5cGVzXS54bWx8kM9OwzAMh+9IvEPkK2pTOCCE2u5A4QgIjQewEreN1jpR HMr29qTbuCDg6D8/f59cb/bzpBaK4jw3cF1WoIiNt46HBt63T8UdKEnIFifP1MCBBDbt5UW9 PQQSldMsDYwphXutxYw0o5Q+EOdJ7+OMKZdx0AHNDgfSN1V1q43nRJyKtN6Atu6ox48pqcd9 bp9MIk0C6uG0uLIawBAmZzBlU72w/UEpzoQyJ487MrogV1kD9K+EdfI34Jx7ya+JzpJ6xZie cc4a2kbR1n9ypKX8/8hqOUvh+94ZKrsoXY690fJtpY9PbL8AAAD//wMAUEsDBBQABgAIAAAA IQBa9CxbvwAAABUBAAALAAAAX3JlbHMvLnJlbHNsz8FqwzAMBuD7YO9gdF+U7lDGiNNbodfS PoCxlcQstoxksvXtZ3pqx46S+D9Jw+EnrWYj0cjZwq7rwVD2HGKeLVwvx7cPMFpdDm7lTBZu pHAYX1+GM62utpAusahpSlYLS63lE1H9Qslpx4Vym0wsydVWyozF+S83E773/R7l0YDxyTSn YEFOYQfmcitt8x87RS+sPNXOc0Kepuj/UzHwdz7T1hQnM1ULQfTeFNq6dhzgOODTM+MvAAAA //8DAFBLAwQUAAYACAAAACEAlplQ89MAAAD5AAAADwAAAGRycy9kb3ducmV2LnhtbESPQW7C MBBF95V6B2sqdVccWKAqYBACVakUNqQcYBpP4pR4HNmGhNvXYtEu//zR+3rr7WR7cSMfOscK 5rMMBHHtdMetgvPXx9s7iBCRNfaOScGdAmw3z09rzLUb+US3KrYiQTjkqMDEOORShtqQxTBz A3HqGuctxhR9K7XHMcFtLxdZtpQWO04LBgfaG6ov1dUqOC5+9pU17XSwZVFcjiUtz81VqdeX abcCEWmK/89juStk+Vc+UJ9aQTJpivu37/QJQyT/uCTTZAly8wsAAP//AwBQSwECLQAUAAYA CAAAACEA2+H2y+4AAACFAQAAEwAAAAAAAAAAAAAAAAAAAAAAW0NvbnRlbnRfVHlwZXNdLnht bFBLAQItABQABgAIAAAAIQBa9CxbvwAAABUBAAALAAAAAAAAAAAAAAAAAB8BAABfcmVscy8u cmVsc1BLAQItABQABgAIAAAAIQCWmVDz0wAAAPkAAAAPAAAAAAAAAAAAAAAAAAcCAABkcnMv ZG93bnJldi54bWxQSwUGAAAAAAMAAwC3AAAABwMAAAAAAAAP8BAAAADhAAAAJAcAAIQDAAAK CAAADwAR8EIAAAAPAIgTOgAAAA8AihMyAAAAAAC6Dw4AAABfAF8AXwBQAFAAVAA5AAAAixMU AAAAAACsDwwAAAAAAAAAAAAAAAAAAAAPAA3wWgAAAAAAnw8EAAAABAAAAAAAoQ8cAAAAAQAA AAAAAAAKAAcAAQAAAAAARQABAAEAAAAA/gAAqg8OAAAAAQAAAAcAAAAAAAcMAAAAAKYPDAAA APAAAADUAdAC8AMQBQ8ABPDEBAAAEgAK8AgAAAAOMAAAAgoAAHMAC/AqAAAAfwAAAAQAgAAA vCIFvwAEAAQAgQHp7fQAvwEQABQA/wEAAAgAvwMAAAIAEwAi8dsDAACpw9UDAABQSwMEFAAG AAgAAAAhANvh9svuAAAAhQEAABMAAABbQ29udGVudF9UeXBlc10ueG1sfJDPTsMwDIfvSLxD 5CtqUzgghNruQOEICI0HsBK3jdY6URzK9vak27gg4Og/P3+fXG/286QWiuI8N3BdVqCIjbeO hwbet0/FHShJyBYnz9TAgQQ27eVFvT0EEpXTLA2MKYV7rcWMNKOUPhDnSe/jjCmXcdABzQ4H 0jdVdauN50ScirTegLbuqMePKanHfW6fTCJNAurhtLiyGsAQJmcwZVO9sP1BKc6EMiePOzK6 IFdZA/SvhHXyN+Cce8mvic6SesWYnnHOGtpG0dZ/cqSl/P/IajlL4fveGSq7KF2OvdHybaWP T2y/AAAA//8DAFBLAwQUAAYACAAAACEAWvQsW78AAAAVAQAACwAAAF9yZWxzLy5yZWxzbM/B asMwDAbg+2DvYHRflO5QxojTW6HX0j6AsZXELLaMZLL17Wd6aseOkvg/ScPhJ61mI9HI2cKu 68FQ9hxini1cL8e3DzBaXQ5u5UwWbqRwGF9fhjOtrraQLrGoaUpWC0ut5RNR/ULJaceFcptM LMnVVsqMxfkvNxO+9/0e5dGA8ck0p2BBTmEH5nIrbfMfO0UvrDzVznNCnqbo/1Mx8Hc+09YU JzNVC0H03hTaunYc4Djg0zPjLwAAAP//AwBQSwMEFAAGAAgAAAAhAESv24zUAAAA+QAAAA8A AABkcnMvZG93bnJldi54bWxEj0FrwkAQhe8F/8MyQm91o1ApqasUpaSgF1MvvU2zk2xqdjbs bjT++y4e2uObN3yPb7UZbScu5EPrWMF8loEgrpxuuVFw+nx/egERIrLGzjEpuFGAzXrysMJc uysf6VLGRiQIhxwVmBj7XMpQGbIYZq4nTl3tvMWYom+k9nhNcNvJRZYtpcWW04LBnraGqnM5 WAWHxc+2tKYZd3ZfFOfDnpanelDqcTq+vYKINMb/Z/lFNDz/lXfUh1aQTOri9u1bfcQQyd8v yTRZglz/AgAA//8DAFBLAQItABQABgAIAAAAIQDb4fbL7gAAAIUBAAATAAAAAAAAAAAAAAAA AAAAAABbQ29udGVudF9UeXBlc10ueG1sUEsBAi0AFAAGAAgAAAAhAFr0LFu/AAAAFQEAAAsA AAAAAAAAAAAAAAAAHwEAAF9yZWxzLy5yZWxzUEsBAi0AFAAGAAgAAAAhAESv24zUAAAA+QAA AA8AAAAAAAAAAAAAAAAABwIAAGRycy9kb3ducmV2LnhtbFBLBQYAAAAAAwADALcAAAAIAwAA AAAAAA/wEAAAAIQDAAAkBwAAnxUAAAoIAAAPAA3wfwAAAAAAnw8EAAAABAAAAAAAqA8ZAAAA Q2FwdHVyZXMgYmVoYXZpb3IsIHJ1bGVzIAAAoQ8cAAAAGgAAAAIAAAAKAAcAGgAAAAAARQAB AAEAAAAA/gAAqg8OAAAAGgAAAAcAAAAAAAcMAAAAAKYPEAAAAPgEAADYANQBIAEgAfADEAUP AATwJgUAABIACvAIAAAADzAAAAIKAABzAAvwKgAAAH8AAAAEAIAAYLYiBb8ABAAEAIEB0Njo AL8BEAAUAP8BAAAIAL8DAAACABMAIvHcAwAAqcPWAwAAUEsDBBQABgAIAAAAIQDb4fbL7gAA AIUBAAATAAAAW0NvbnRlbnRfVHlwZXNdLnhtbHyQz07DMAyH70i8Q+QralM4IITa7kDhCAiN B7ASt43WOlEcyvb2pNu4IODoPz9/n1xv9vOkForiPDdwXVagiI23jocG3rdPxR0oScgWJ8/U wIEENu3lRb09BBKV0ywNjCmFe63FjDSjlD4Q50nv44wpl3HQAc0OB9I3VXWrjedEnIq03oC2 7qjHjympx31un0wiTQLq4bS4shrAECZnMGVTvbD9QSnOhDInjzsyuiBXWQP0r4R18jfgnHvJ r4nOknrFmJ5xzhraRtHWf3Kkpfz/yGo5S+H73hkquyhdjr3R8m2lj09svwAAAP//AwBQSwME FAAGAAgAAAAhAFr0LFu/AAAAFQEAAAsAAABfcmVscy8ucmVsc2zPwWrDMAwG4Ptg72B0X5Tu UMaI01uh19I+gLGVxCy2jGSy9e1nemrHjpL4P0nD4SetZiPRyNnCruvBUPYcYp4tXC/Htw8w Wl0ObuVMFm6kcBhfX4Yzra62kC6xqGlKVgtLreUTUf1CyWnHhXKbTCzJ1VbKjMX5LzcTvvf9 HuXRgPHJNKdgQU5hB+ZyK23zHztFL6w81c5zQp6m6P9TMfB3PtPWFCczVQtB9N4U2rp2HOA4 4NMz4y8AAAD//wMAUEsDBBQABgAIAAAAIQA6Kmwf1QAAAPkAAAAPAAAAZHJzL2Rvd25yZXYu eG1sRI9BS8NAEIXvgv9hGcGL2I2CIrHbYgsSbU6txfM0O01Csrthdptu/fVderDHN2/4Ht90 Hk0vRmLfOqvgaZKBIFs53dpawfbn8/ENhA9oNfbOkoITeZjPbm+mmGt3tGsaN6EWCWJ9jgqa EIZcSl81ZNBP3EA2dXvHBkOKXEvNeExw08vnLHuVBlubFhocaNlQ1W0ORgE+rGLBHL/ly/gb D39lV3S7TKn7u/jxDiJQDNfnrlyUW/4vL6gvrSCZ7IvTjlu9Rh+IL5dkmixBzs4AAAD//wMA UEsBAi0AFAAGAAgAAAAhANvh9svuAAAAhQEAABMAAAAAAAAAAAAAAAAAAAAAAFtDb250ZW50 X1R5cGVzXS54bWxQSwECLQAUAAYACAAAACEAWvQsW78AAAAVAQAACwAAAAAAAAAAAAAAAAAf AQAAX3JlbHMvLnJlbHNQSwECLQAUAAYACAAAACEAOipsH9UAAAD5AAAADwAAAAAAAAAAAAAA AAAHAgAAZHJzL2Rvd25yZXYueG1sUEsFBgAAAAADAAMAtwAAAAkDAAAAAAAAD/AQAAAA4QAA AAoIAACEAwAA/AgAAA8AEfBOAAAADwCIE0YAAAAPAIoTPgAAAAAAug8OAAAAXwBfAF8AUABQ AFQAOQAAAIsTIAAAAAAArA8YAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADwAN8IoAAAAA AJ8PBAAAAAQAAAAAAKgPCAAAAExheWVyIElWAAChDy4AAAAJAAAAAAAAAAoABwAIAAAAAABF AAEAAQAAAAD+AQAAAAAERQAABAEAAQAAAAD+AACqDxwAAAAIAAAABwAAAAAABwwAAAEAAAAH AAAAAAAHDAAAAACmDwwAAADwAAAA1AHQAvADEAUPAATw1wQAABIACvAIAAAAEDAAAAIKAABz AAvwKgAAAH8AAAAEAIAAQMUiBb8ABAAEAIEB0NjoAL8BEAAUAP8BAAAIAL8DAAACABMAIvHc AwAAqcPWAwAAUEsDBBQABgAIAAAAIQDb4fbL7gAAAIUBAAATAAAAW0NvbnRlbnRfVHlwZXNd LnhtbHyQz07DMAyH70i8Q+QralM4IITa7kDhCAiNB7ASt43WOlEcyvb2pNu4IODoPz9/n1xv 9vOkForiPDdwXVagiI23jocG3rdPxR0oScgWJ8/UwIEENu3lRb09BBKV0ywNjCmFe63FjDSj lD4Q50nv44wpl3HQAc0OB9I3VXWrjedEnIq03oC27qjHjympx31un0wiTQLq4bS4shrAECZn MGVTvbD9QSnOhDInjzsyuiBXWQP0r4R18jfgnHvJr4nOknrFmJ5xzhraRtHWf3Kkpfz/yGo5 S+H73hkquyhdjr3R8m2lj09svwAAAP//AwBQSwMEFAAGAAgAAAAhAFr0LFu/AAAAFQEAAAsA AABfcmVscy8ucmVsc2zPwWrDMAwG4Ptg72B0X5TuUMaI01uh19I+gLGVxCy2jGSy9e1nemrH jpL4P0nD4SetZiPRyNnCruvBUPYcYp4tXC/Htw8wWl0ObuVMFm6kcBhfX4Yzra62kC6xqGlK VgtLreUTUf1CyWnHhXKbTCzJ1VbKjMX5LzcTvvf9HuXRgPHJNKdgQU5hB+ZyK23zHztFL6w8 1c5zQp6m6P9TMfB3PtPWFCczVQtB9N4U2rp2HOA44NMz4y8AAAD//wMAUEsDBBQABgAIAAAA IQA6QNoI1QAAAPkAAAAPAAAAZHJzL2Rvd25yZXYueG1sRI9NSwMxEIbvgv8hjOCl2KyCImvT IoKuH6fW4nm6me6G3SRLMrtN/fWGHuzxnXd4Xp7FKtleTBSi8U7B7bwAQa722rhGwfb79eYR RGR0GnvvSMGRIqyWlxcLLLU/uDVNG25EhrhYooKWeSiljHVLFuPcD+Ryt/fBIucYGqkDHjLc 9vKuKB6kRePyQosDvbRUd5vRKsDZZ6pCSB/yfvpJ4+9XV3W7Qqnrq/T8BIIp8fmZx7etmf2X J9S7VpBN9tVxF4xeY2QKp0s2zZYgl38AAAD//wMAUEsBAi0AFAAGAAgAAAAhANvh9svuAAAA hQEAABMAAAAAAAAAAAAAAAAAAAAAAFtDb250ZW50X1R5cGVzXS54bWxQSwECLQAUAAYACAAA ACEAWvQsW78AAAAVAQAACwAAAAAAAAAAAAAAAAAfAQAAX3JlbHMvLnJlbHNQSwECLQAUAAYA CAAAACEAOkDaCNUAAAD5AAAADwAAAAAAAAAAAAAAAAAHAgAAZHJzL2Rvd25yZXYueG1sUEsF BgAAAAADAAMAtwAAAAkDAAAAAAAAD/AQAAAAhAMAAAoIAACfFQAA/AgAAA8ADfCRAAAAAACf DwQAAAAEAAAAAACoDy0AAABEZXZpY2UvTGluZS9TZXJ2aWNlL1Byb3RvY29sIENsYXNzIE1l dGEgTW9kZWwAAKEPHgAAAC4AAAAAAAAACgAHAC4AAAABAEUAAQABAAEAAAAA/gAAqg8OAAAA LgAAAAcAAAAAAAcMAAAAAKYPDAAAAPAAAADUAdAC8AMQBQ8ABPDoBAAAEgAK8AgAAAARMAAA AgoAAHMAC/AqAAAAfwAAAAQAgAAgyiIFvwAEAAQAgQHp7fQAvwEQABQA/wEAAAgAvwMAAAIA EwAi8doDAACpw9QDAABQSwMEFAAGAAgAAAAhANvh9svuAAAAhQEAABMAAABbQ29udGVudF9U eXBlc10ueG1sfJDPTsMwDIfvSLxD5CtqUzgghNruQOEICI0HsBK3jdY6URzK9vak27gg4Og/ P3+fXG/286QWiuI8N3BdVqCIjbeOhwbet0/FHShJyBYnz9TAgQQ27eVFvT0EEpXTLA2MKYV7 rcWMNKOUPhDnSe/jjCmXcdABzQ4H0jdVdauN50ScirTegLbuqMePKanHfW6fTCJNAurhtLiy GsAQJmcwZVO9sP1BKc6EMiePOzK6IFdZA/SvhHXyN+Cce8mvic6SesWYnnHOGtpG0dZ/cqSl /P/IajlL4fveGSq7KF2OvdHybaWPT2y/AAAA//8DAFBLAwQUAAYACAAAACEAWvQsW78AAAAV AQAACwAAAF9yZWxzLy5yZWxzbM/BasMwDAbg+2DvYHRflO5QxojTW6HX0j6AsZXELLaMZLL1 7Wd6aseOkvg/ScPhJ61mI9HI2cKu68FQ9hxini1cL8e3DzBaXQ5u5UwWbqRwGF9fhjOtrraQ LrGoaUpWC0ut5RNR/ULJaceFcptMLMnVVsqMxfkvNxO+9/0e5dGA8ck0p2BBTmEH5nIrbfMf O0UvrDzVznNCnqbo/1Mx8Hc+09YUJzNVC0H03hTaunYc4Djg0zPjLwAAAP//AwBQSwMEFAAG AAgAAAAhAJaZUPPTAAAA+QAAAA8AAABkcnMvZG93bnJldi54bWxEj0FuwjAQRfeVegdrKnVX HFigKmAQAlWpFDakHGAaT+KUeBzZhoTb12LRLv/80ft66+1ke3EjHzrHCuazDARx7XTHrYLz 18fbO4gQkTX2jknBnQJsN89Pa8y1G/lEtyq2IkE45KjAxDjkUobakMUwcwNx6hrnLcYUfSu1 xzHBbS8XWbaUFjtOCwYH2huqL9XVKjgufvaVNe10sGVRXI4lLc/NVanXl2m3AhFpiv/PY7kr ZPlXPlCfWkEyaYr7t+/0CUMk/7gk02QJcvMLAAD//wMAUEsBAi0AFAAGAAgAAAAhANvh9svu AAAAhQEAABMAAAAAAAAAAAAAAAAAAAAAAFtDb250ZW50X1R5cGVzXS54bWxQSwECLQAUAAYA CAAAACEAWvQsW78AAAAVAQAACwAAAAAAAAAAAAAAAAAfAQAAX3JlbHMvLnJlbHNQSwECLQAU AAYACAAAACEAlplQ89MAAAD5AAAADwAAAAAAAAAAAAAAAAAHAgAAZHJzL2Rvd25yZXYueG1s UEsFBgAAAAADAAMAtwAAAAcDAAAAAAAAD/AQAAAA4QAAAPwIAACEAwAA7gkAAA8AEfBCAAAA DwCIEzoAAAAPAIoTMgAAAAAAug8OAAAAXwBfAF8AUABQAFQAOQAAAIsTFAAAAAAArA8MAAAA AAAAAAAAAAAAAAAADwAN8FoAAAAAAJ8PBAAAAAQAAAAAAKEPHAAAAAEAAAAAAAAACgAHAAEA AAAAAEUAAQABAAAAAP4AAKoPDgAAAAEAAAAHAAAAAAAHDAAAAACmDwwAAADwAAAA1AHQAvAD EAUPAATwxQQAABIACvAIAAAAEjAAAAIKAABzAAvwKgAAAH8AAAAEAIAAQMsiBb8ABAAEAIEB 6e30AL8BEAAUAP8BAAAIAL8DAAACABMAIvHbAwAAqcPVAwAAUEsDBBQABgAIAAAAIQDb4fbL 7gAAAIUBAAATAAAAW0NvbnRlbnRfVHlwZXNdLnhtbHyQz07DMAyH70i8Q+QralM4IITa7kDh CAiNB7ASt43WOlEcyvb2pNu4IODoPz9/n1xv9vOkForiPDdwXVagiI23jocG3rdPxR0oScgW J8/UwIEENu3lRb09BBKV0ywNjCmFe63FjDSjlD4Q50nv44wpl3HQAc0OB9I3VXWrjedEnIq0 3oC27qjHjympx31un0wiTQLq4bS4shrAECZnMGVTvbD9QSnOhDInjzsyuiBXWQP0r4R18jfg nHvJr4nOknrFmJ5xzhraRtHWf3Kkpfz/yGo5S+H73hkquyhdjr3R8m2lj09svwAAAP//AwBQ SwMEFAAGAAgAAAAhAFr0LFu/AAAAFQEAAAsAAABfcmVscy8ucmVsc2zPwWrDMAwG4Ptg72B0 X5TuUMaI01uh19I+gLGVxCy2jGSy9e1nemrHjpL4P0nD4SetZiPRyNnCruvBUPYcYp4tXC/H tw8wWl0ObuVMFm6kcBhfX4Yzra62kC6xqGlKVgtLreUTUf1CyWnHhXKbTCzJ1VbKjMX5LzcT vvf9HuXRgPHJNKdgQU5hB+ZyK23zHztFL6w81c5zQp6m6P9TMfB3PtPWFCczVQtB9N4U2rp2 HOA44NMz4y8AAAD//wMAUEsDBBQABgAIAAAAIQBkZBtk1AAAAPkAAAAPAAAAZHJzL2Rvd25y ZXYueG1sRI/RagIxEEXfC/2HMIW+1axCpWyNIopsQUHc+gHTzexm62ayJFHXv2/wwT7eucO5 nNlisJ24kA+tYwXjUQaCuHK65UbB8Xvz9gEiRGSNnWNScKMAi/nz0wxz7a58oEsZG5EgHHJU YGLscylDZchiGLmeOHW18xZjir6R2uM1wW0nJ1k2lRZbTgsGe1oZqk7l2SrYTX5XpTXNsLbb ojjttjQ91melXl+G5SeISEP8f9679/HSPco76ksrSCZ1cfvxrT5giOTvl2SaLEHO/wAAAP// AwBQSwECLQAUAAYACAAAACEA2+H2y+4AAACFAQAAEwAAAAAAAAAAAAAAAAAAAAAAW0NvbnRl bnRfVHlwZXNdLnhtbFBLAQItABQABgAIAAAAIQBa9CxbvwAAABUBAAALAAAAAAAAAAAAAAAA AB8BAABfcmVscy8ucmVsc1BLAQItABQABgAIAAAAIQBkZBtk1AAAAPkAAAAPAAAAAAAAAAAA AAAAAAcCAABkcnMvZG93bnJldi54bWxQSwUGAAAAAAMAAwC3AAAACAMAAAAAAAAP8BAAAACE AwAA/AgAAJ8VAADuCQAADwAN8IAAAAAAAJ8PBAAAAAQAAAAAAKgPGgAAAEFsYXJtIHRlbXBs YXRlIGNsYXNzIG1vZGVsAAChDxwAAAAbAAAAAgAAAAoABwAbAAAAAABFAAEAAQAAAAD+AACq Dw4AAAAbAAAABwAAAAAABwwAAAAApg8QAAAA+AQAANgA1AEgASAB8AMQBQ8ABPAnBQAAEgAK 8AgAAAATMAAAAgoAAHMAC/AqAAAAfwAAAAQAgABgzCIFvwAEAAQAgQHQ2OgAvwEQABQA/wEA AAgAvwMAAAIAEwAi8dwDAACpw9YDAABQSwMEFAAGAAgAAAAhANvh9svuAAAAhQEAABMAAABb Q29udGVudF9UeXBlc10ueG1sfJDPTsMwDIfvSLxD5CtqUzgghNruQOEICI0HsBK3jdY6URzK 9vak27gg4Og/P3+fXG/286QWiuI8N3BdVqCIjbeOhwbet0/FHShJyBYnz9TAgQQ27eVFvT0E EpXTLA2MKYV7rcWMNKOUPhDnSe/jjCmXcdABzQ4H0jdVdauN50ScirTegLbuqMePKanHfW6f TCJNAurhtLiyGsAQJmcwZVO9sP1BKc6EMiePOzK6IFdZA/SvhHXyN+Cce8mvic6SesWYnnHO GtpG0dZ/cqSl/P/IajlL4fveGSq7KF2OvdHybaWPT2y/AAAA//8DAFBLAwQUAAYACAAAACEA WvQsW78AAAAVAQAACwAAAF9yZWxzLy5yZWxzbM/BasMwDAbg+2DvYHRflO5QxojTW6HX0j6A sZXELLaMZLL17Wd6aseOkvg/ScPhJ61mI9HI2cKu68FQ9hxini1cL8e3DzBaXQ5u5UwWbqRw GF9fhjOtrraQLrGoaUpWC0ut5RNR/ULJaceFcptMLMnVVsqMxfkvNxO+9/0e5dGA8ck0p2BB TmEH5nIrbfMfO0UvrDzVznNCnqbo/1Mx8Hc+09YUJzNVC0H03hTaunYc4Djg0zPjLwAAAP// AwBQSwMEFAAGAAgAAAAhAMonfNPVAAAA+QAAAA8AAABkcnMvZG93bnJldi54bWxEj0FLw0AQ he+C/2EZwYu0G8WKxG6LCDXRnlqL52l2moRkZ8PuNt3661160OObN3yPb76MphcjOd9aVnA/ zUAQV1a3XCvYfa0mzyB8QNbYWyYFZ/KwXFxfzTHX9sQbGrehFgnCPkcFTQhDLqWvGjLop3Yg Tt3BOoMhRVdL7fCU4KaXD1n2JA22nBYaHOitoarbHo0CvPuMhXPxQ87G73j8WXdFt8+Uur2J ry8gAsXw//xePq5m5V95QZVaQTI5FOe9a/UGfSB3uSTTZAly8QsAAP//AwBQSwECLQAUAAYA CAAAACEA2+H2y+4AAACFAQAAEwAAAAAAAAAAAAAAAAAAAAAAW0NvbnRlbnRfVHlwZXNdLnht bFBLAQItABQABgAIAAAAIQBa9CxbvwAAABUBAAALAAAAAAAAAAAAAAAAAB8BAABfcmVscy8u cmVsc1BLAQItABQABgAIAAAAIQDKJ3zT1QAAAPkAAAAPAAAAAAAAAAAAAAAAAAcCAABkcnMv ZG93bnJldi54bWxQSwUGAAAAAAMAAwC3AAAACQMAAAAAAAAP8BAAAADhAAAA7gkAAIQDAAAJ CwAADwAR8E4AAAAPAIgTRgAAAA8AihM+AAAAAAC6Dw4AAABfAF8AXwBQAFAAVAA5AAAAixMg AAAAAACsDxgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPAA3wiwAAAAAAnw8EAAAABAAA AAAAqA8JAAAATGF5ZXIgSUlJAAChDy4AAAAKAAAAAAAAAAoABwAJAAAAAABFAAEAAQAAAAD+ AQAAAAAERQAABAEAAQAAAAD+AACqDxwAAAAJAAAABwAAAAAABwwAAAEAAAAHAAAAAAAHDAAA AACmDwwAAADwAAAA1AHQAvADEAUPAATwzwQAABIACvAIAAAAFDAAAAIKAABzAAvwKgAAAH8A AAAEAIAAgM0iBb8ABAAEAIEB0NjoAL8BEAAUAP8BAAAIAL8DAAACABMAIvHcAwAAqcPWAwAA UEsDBBQABgAIAAAAIQDb4fbL7gAAAIUBAAATAAAAW0NvbnRlbnRfVHlwZXNdLnhtbHyQz07D MAyH70i8Q+QralM4IITa7kDhCAiNB7ASt43WOlEcyvb2pNu4IODoPz9/n1xv9vOkForiPDdw XVagiI23jocG3rdPxR0oScgWJ8/UwIEENu3lRb09BBKV0ywNjCmFe63FjDSjlD4Q50nv44wp l3HQAc0OB9I3VXWrjedEnIq03oC27qjHjympx31un0wiTQLq4bS4shrAECZnMGVTvbD9QSnO hDInjzsyuiBXWQP0r4R18jfgnHvJr4nOknrFmJ5xzhraRtHWf3Kkpfz/yGo5S+H73hkquyhd jr3R8m2lj09svwAAAP//AwBQSwMEFAAGAAgAAAAhAFr0LFu/AAAAFQEAAAsAAABfcmVscy8u cmVsc2zPwWrDMAwG4Ptg72B0X5TuUMaI01uh19I+gLGVxCy2jGSy9e1nemrHjpL4P0nD4Set ZiPRyNnCruvBUPYcYp4tXC/Htw8wWl0ObuVMFm6kcBhfX4Yzra62kC6xqGlKVgtLreUTUf1C yWnHhXKbTCzJ1VbKjMX5LzcTvvf9HuXRgPHJNKdgQU5hB+ZyK23zHztFL6w81c5zQp6m6P9T MfB3PtPWFCczVQtB9N4U2rp2HOA44NMz4y8AAAD//wMAUEsDBBQABgAIAAAAIQAGijkP1QAA APkAAAAPAAAAZHJzL2Rvd25yZXYueG1sRI/LasMwEEX3hf6DmEI3oZFbSAhulFAKxW2zyoOs J9bENrZGRlIcpV8fkUWzvHOHcznzZTSdGMj5xrKC13EGgri0uuFKwW779TID4QOyxs4yKbiQ h+Xi8WGOubZnXtOwCZVIEPY5KqhD6HMpfVmTQT+2PXHqjtYZDCm6SmqH5wQ3nXzLsqk02HBa qLGnz5rKdnMyCnD0Gwvn4o+cDPt4+lu1RXvIlHp+ih/vIALFcH/e4Wiynf6XN9S3VpBMjsXl 4Bq9Rh/I3S7JNFmCXFwBAAD//wMAUEsBAi0AFAAGAAgAAAAhANvh9svuAAAAhQEAABMAAAAA AAAAAAAAAAAAAAAAAFtDb250ZW50X1R5cGVzXS54bWxQSwECLQAUAAYACAAAACEAWvQsW78A AAAVAQAACwAAAAAAAAAAAAAAAAAfAQAAX3JlbHMvLnJlbHNQSwECLQAUAAYACAAAACEABoo5 D9UAAAD5AAAADwAAAAAAAAAAAAAAAAAHAgAAZHJzL2Rvd25yZXYueG1sUEsFBgAAAAADAAMA twAAAAkDAAAAAAAAD/AQAAAAhAMAAO4JAACfFQAACQsAAA8ADfCJAAAAAACfDwQAAAAEAAAA AACoDxUAAABOYW1lc3BhY2VzL01ldGEgbW9kZWwAAKEPLgAAABYAAAAAAAAACgAHABUAAAAB AEUAAQABAAEAAAAA/gEAAAAAAEUAAQABAAAAAP4AAKoPDgAAABYAAAAHAAAAAAAHDAAAAACm DwwAAADwAAAA1AHQAvADEAUPAATw6AQAABIACvAIAAAAFTAAAAIKAABzAAvwKgAAAH8AAAAE AIAAoM4iBb8ABAAEAIEB6e30AL8BEAAUAP8BAAAIAL8DAAACABMAIvHaAwAAqcPUAwAAUEsD BBQABgAIAAAAIQDb4fbL7gAAAIUBAAATAAAAW0NvbnRlbnRfVHlwZXNdLnhtbHyQz07DMAyH 70i8Q+QralM4IITa7kDhCAiNB7ASt43WOlEcyvb2pNu4IODoPz9/n1xv9vOkForiPDdwXVag iI23jocG3rdPxR0oScgWJ8/UwIEENu3lRb09BBKV0ywNjCmFe63FjDSjlD4Q50nv44wpl3HQ Ac0OB9I3VXWrjedEnIq03oC27qjHjympx31un0wiTQLq4bS4shrAECZnMGVTvbD9QSnOhDIn jzsyuiBXWQP0r4R18jfgnHvJr4nOknrFmJ5xzhraRtHWf3Kkpfz/yGo5S+H73hkquyhdjr3R 8m2lj09svwAAAP//AwBQSwMEFAAGAAgAAAAhAFr0LFu/AAAAFQEAAAsAAABfcmVscy8ucmVs c2zPwWrDMAwG4Ptg72B0X5TuUMaI01uh19I+gLGVxCy2jGSy9e1nemrHjpL4P0nD4SetZiPR yNnCruvBUPYcYp4tXC/Htw8wWl0ObuVMFm6kcBhfX4Yzra62kC6xqGlKVgtLreUTUf1CyWnH hXKbTCzJ1VbKjMX5LzcTvvf9HuXRgPHJNKdgQU5hB+ZyK23zHztFL6w81c5zQp6m6P9TMfB3 PtPWFCczVQtB9N4U2rp2HOA44NMz4y8AAAD//wMAUEsDBBQABgAIAAAAIQCWmVDz0wAAAPkA AAAPAAAAZHJzL2Rvd25yZXYueG1sRI9BbsIwEEX3lXoHayp1VxxYoCpgEAJVqRQ2pBxgGk/i lHgc2YaE29di0S7//NH7euvtZHtxIx86xwrmswwEce10x62C89fH2zuIEJE19o5JwZ0CbDfP T2vMtRv5RLcqtiJBOOSowMQ45FKG2pDFMHMDceoa5y3GFH0rtccxwW0vF1m2lBY7TgsGB9ob qi/V1So4Ln72lTXtdLBlUVyOJS3PzVWp15dptwIRaYr/z2O5K2T5Vz5Qn1pBMmmK+7fv9AlD JP+4JNNkCXLzCwAA//8DAFBLAQItABQABgAIAAAAIQDb4fbL7gAAAIUBAAATAAAAAAAAAAAA AAAAAAAAAABbQ29udGVudF9UeXBlc10ueG1sUEsBAi0AFAAGAAgAAAAhAFr0LFu/AAAAFQEA AAsAAAAAAAAAAAAAAAAAHwEAAF9yZWxzLy5yZWxzUEsBAi0AFAAGAAgAAAAhAJaZUPPTAAAA +QAAAA8AAAAAAAAAAAAAAAAABwIAAGRycy9kb3ducmV2LnhtbFBLBQYAAAAAAwADALcAAAAH AwAAAAAAAA/wEAAAAOEAAAAJCwAAhAMAAPsLAAAPABHwQgAAAA8AiBM6AAAADwCKEzIAAAAA ALoPDgAAAF8AXwBfAFAAUABUADkAAACLExQAAAAAAKwPDAAAAAAAAAAAAAAAAAAAAA8ADfBa AAAAAACfDwQAAAAEAAAAAAChDxwAAAABAAAAAAAAAAoABwABAAAAAABFAAEAAQAAAAD+AACq Dw4AAAABAAAABwAAAAAABwwAAAAApg8MAAAA8AAAANQB0ALwAxAFDwAE8OYEAAASAArwCAAA ABYwAAACCgAAcwAL8CoAAAB/AAAABACAAADwNgW/AAQABACBAent9AC/ARAAFAD/AQAACAC/ AwAAAgATACLx2wMAAKnD1QMAAFBLAwQUAAYACAAAACEA2+H2y+4AAACFAQAAEwAAAFtDb250 ZW50X1R5cGVzXS54bWx8kM9OwzAMh+9IvEPkK2pTOCCE2u5A4QgIjQewEreN1jpRHMr29qTb uCDg6D8/f59cb/bzpBaK4jw3cF1WoIiNt46HBt63T8UdKEnIFifP1MCBBDbt5UW9PQQSldMs DYwphXutxYw0o5Q+EOdJ7+OMKZdx0AHNDgfSN1V1q43nRJyKtN6Atu6ox48pqcd9bp9MIk0C 6uG0uLIawBAmZzBlU72w/UEpzoQyJ487MrogV1kD9K+EdfI34Jx7ya+JzpJ6xZiecc4a2kbR 1n9ypKX8/8hqOUvh+94ZKrsoXY690fJtpY9PbL8AAAD//wMAUEsDBBQABgAIAAAAIQBa9Cxb vwAAABUBAAALAAAAX3JlbHMvLnJlbHNsz8FqwzAMBuD7YO9gdF+U7lDGiNNbodfSPoCxlcQs toxksvXtZ3pqx46S+D9Jw+EnrWYj0cjZwq7rwVD2HGKeLVwvx7cPMFpdDm7lTBZupHAYX1+G M62utpAusahpSlYLS63lE1H9Qslpx4Vym0wsydVWyozF+S83E773/R7l0YDxyTSnYEFOYQfm citt8x87RS+sPNXOc0Kepuj/UzHwdz7T1hQnM1ULQfTeFNq6dhzgOODTM+MvAAAA//8DAFBL AwQUAAYACAAAACEAMOGBQ9QAAAD5AAAADwAAAGRycy9kb3ducmV2LnhtbESPwW7CMBBE75X6 D9ZW6q045YCqFIMQVZVK0AMB9bzEmzgkXke2gfD3tTi0x9lZvdGbL0fbiwv50DpW8DrJQBBX TrfcKDjsP1/eQISIrLF3TApuFGC5eHyYY67dlXd0KWMjEoRDjgpMjEMuZagMWQwTNxCnrnbe YkzRN1J7vCa47eU0y2bSYstpweBAa0NVV56tgu30tC6tacYPuymKbruh2aE+K/X8NK7eQUQa 4//zdzz+dPqvvKO+tIJkUhe3o2/1DkMkf78k02QJcvELAAD//wMAUEsBAi0AFAAGAAgAAAAh ANvh9svuAAAAhQEAABMAAAAAAAAAAAAAAAAAAAAAAFtDb250ZW50X1R5cGVzXS54bWxQSwEC LQAUAAYACAAAACEAWvQsW78AAAAVAQAACwAAAAAAAAAAAAAAAAAfAQAAX3JlbHMvLnJlbHNQ SwECLQAUAAYACAAAACEAMOGBQ9QAAAD5AAAADwAAAAAAAAAAAAAAAAAHAgAAZHJzL2Rvd25y ZXYueG1sUEsFBgAAAAADAAMAtwAAAAgDAAAAAAAAD/AQAAAAhAMAAAkLAACfFQAA+wsAAA8A DfChAAAAAACfDwQAAAAEAAAAAACoDzEAAABEZXJpdmUgZnJvbSBleGlzdGluZyBDTEkgKG9w dGlvbj8pIG9yIGRlc2lnbiBhbmV3AAChDxwAAAAyAAAAAQAAAAoABwAyAAAAAABFAAEAAQAA AAD+AACqDxwAAAAaAAAABwAAAAAACQQAABgAAAAHAAAAAAAHDAAAAACmDwwAAADoAAAA2ADQ AvADEAUPAATw6QQAABIACvAIAAAAFzAAAAIKAABzAAvwKgAAAH8AAAAEAIAAIPE2Bb8ABAAE AIEB0NjoAL8BEAAUAP8BAAAIAL8DAAACABMAIvHbAwAAqcPVAwAAUEsDBBQABgAIAAAAIQDb 4fbL7gAAAIUBAAATAAAAW0NvbnRlbnRfVHlwZXNdLnhtbHyQz07DMAyH70i8Q+QralM4IITa 7kDhCAiNB7ASt43WOlEcyvb2pNu4IODoPz9/n1xv9vOkForiPDdwXVagiI23jocG3rdPxR0o ScgWJ8/UwIEENu3lRb09BBKV0ywNjCmFe63FjDSjlD4Q50nv44wpl3HQAc0OB9I3VXWrjedE nIq03oC27qjHjympx31un0wiTQLq4bS4shrAECZnMGVTvbD9QSnOhDInjzsyuiBXWQP0r4R1 8jfgnHvJr4nOknrFmJ5xzhraRtHWf3Kkpfz/yGo5S+H73hkquyhdjr3R8m2lj09svwAAAP// AwBQSwMEFAAGAAgAAAAhAFr0LFu/AAAAFQEAAAsAAABfcmVscy8ucmVsc2zPwWrDMAwG4Ptg 72B0X5TuUMaI01uh19I+gLGVxCy2jGSy9e1nemrHjpL4P0nD4SetZiPRyNnCruvBUPYcYp4t XC/Htw8wWl0ObuVMFm6kcBhfX4Yzra62kC6xqGlKVgtLreUTUf1CyWnHhXKbTCzJ1VbKjMX5 LzcTvvf9HuXRgPHJNKdgQU5hB+ZyK23zHztFL6w81c5zQp6m6P9TMfB3PtPWFCczVQtB9N4U 2rp2HOA44NMz4y8AAAD//wMAUEsDBBQABgAIAAAAIQDljd+P1AAAAPkAAAAPAAAAZHJzL2Rv d25yZXYueG1sRI9BS8NAEIXvgv9hGaEXsRsLisRuSxEkrTm1iudpdpqEZGfD7jbZ+utdetDj mzd8j2+5jqYXIznfWlbwOM9AEFdWt1wr+Pp8f3gB4QOyxt4yKbiQh/Xq9maJubYT72k8hFok CPscFTQhDLmUvmrIoJ/bgTh1J+sMhhRdLbXDKcFNLxdZ9iwNtpwWGhzoraGqO5yNArz/iIVz cSefxu94/im7ojtmSs3u4uYVRKAY/p+nclPI8q+8orZaQTI5FZeja/UefSB3vSTTZAly9QsA AP//AwBQSwECLQAUAAYACAAAACEA2+H2y+4AAACFAQAAEwAAAAAAAAAAAAAAAAAAAAAAW0Nv bnRlbnRfVHlwZXNdLnhtbFBLAQItABQABgAIAAAAIQBa9CxbvwAAABUBAAALAAAAAAAAAAAA AAAAAB8BAABfcmVscy8ucmVsc1BLAQItABQABgAIAAAAIQDljd+P1AAAAPkAAAAPAAAAAAAA AAAAAAAAAAcCAABkcnMvZG93bnJldi54bWxQSwUGAAAAAAMAAwC3AAAACAMAAAAAAAAP8BAA AADhAAAA+wsAAIQDAADiDAAADwAR8EIAAAAPAIgTOgAAAA8AihMyAAAAAAC6Dw4AAABfAF8A XwBQAFAAVAA5AAAAixMUAAAAAACsDwwAAAAAAAAAAAAAAAAAAAAPAA3wWgAAAAAAnw8EAAAA BAAAAAAAoQ8cAAAAAQAAAAAAAAAKAAcAAQAAAAAARQABAAEAAAAA/gAAqg8OAAAAAQAAAAcA AAAAAAcMAAAAAKYPDAAAAPAAAADUAdAC8AMQBQ8ABPC5BAAAEgAK8AgAAAAYMAAAAgoAAHMA C/AqAAAAfwAAAAQAgABA8jYFvwAEAAQAgQHQ2OgAvwEQABQA/wEAAAgAvwMAAAIAEwAi8d4D AACpw9gDAABQSwMEFAAGAAgAAAAhANvh9svuAAAAhQEAABMAAABbQ29udGVudF9UeXBlc10u eG1sfJDPTsMwDIfvSLxD5CtqUzgghNruQOEICI0HsBK3jdY6URzK9vak27gg4Og/P3+fXG/2 86QWiuI8N3BdVqCIjbeOhwbet0/FHShJyBYnz9TAgQQ27eVFvT0EEpXTLA2MKYV7rcWMNKOU PhDnSe/jjCmXcdABzQ4H0jdVdauN50ScirTegLbuqMePKanHfW6fTCJNAurhtLiyGsAQJmcw ZVO9sP1BKc6EMiePOzK6IFdZA/SvhHXyN+Cce8mvic6SesWYnnHOGtpG0dZ/cqSl/P/IajlL 4fveGSq7KF2OvdHybaWPT2y/AAAA//8DAFBLAwQUAAYACAAAACEAWvQsW78AAAAVAQAACwAA AF9yZWxzLy5yZWxzbM/BasMwDAbg+2DvYHRflO5QxojTW6HX0j6AsZXELLaMZLL17Wd6aseO kvg/ScPhJ61mI9HI2cKu68FQ9hxini1cL8e3DzBaXQ5u5UwWbqRwGF9fhjOtrraQLrGoaUpW C0ut5RNR/ULJaceFcptMLMnVVsqMxfkvNxO+9/0e5dGA8ck0p2BBTmEH5nIrbfMfO0UvrDzV znNCnqbo/1Mx8Hc+09YUJzNVC0H03hTaunYc4Djg0zPjLwAAAP//AwBQSwMEFAAGAAgAAAAh AD3EYfTXAAAA+QAAAA8AAABkcnMvZG93bnJldi54bWxEj8tOwzAQRfdI/IM1SN0g6rQSCIW6 VdUKUh6bFsR6Gk+TKPE4st3U5euxuoDlnTs6V2e2iKYTAznfWFYwGWcgiEurG64UfH0+3z2C 8AFZY2eZFJzJw2J+fTXDXNsTb2nYhUokCPscFdQh9LmUvqzJoB/bnjh1B+sMhhRdJbXDU4Kb Tk6z7EEabDgt1NjTqqay3R2NArx9i4Vz8VXeD9/x+PPeFu0+U2p0E5dPIALF8P/8MV2tly9/ 5QW10QqSyaE4712jt+gDucslmSZLkPNfAAAA//8DAFBLAQItABQABgAIAAAAIQDb4fbL7gAA AIUBAAATAAAAAAAAAAAAAAAAAAAAAABbQ29udGVudF9UeXBlc10ueG1sUEsBAi0AFAAGAAgA AAAhAFr0LFu/AAAAFQEAAAsAAAAAAAAAAAAAAAAAHwEAAF9yZWxzLy5yZWxzUEsBAi0AFAAG AAgAAAAhAD3EYfTXAAAA+QAAAA8AAAAAAAAAAAAAAAAABwIAAGRycy9kb3ducmV2LnhtbFBL BQYAAAAAAwADALcAAAALAwAAAAAAAA/wEAAAAIQDAAD7CwAAnxUAAOIMAAAPAA3wcQAAAAAA nw8EAAAABAAAAAAAqA8PAAAAQ29uc3RydWN0cyBldGMuAAChDxwAAAAQAAAAAQAAAAoABwAQ AAAAAABFAAEAAQAAAAD+AACqDw4AAAAQAAAABwAAAAAABwwAAAAApg8MAAAA6AAAANgA0ALw AxAFDwAE8OgEAAASAArwCAAAABkwAAACCgAAcwAL8CoAAAB/AAAABACAAGDzNgW/AAQABACB Aent9AC/ARAAFAD/AQAACAC/AwAAAgATACLx2gMAAKnD1AMAAFBLAwQUAAYACAAAACEA2+H2 y+4AAACFAQAAEwAAAFtDb250ZW50X1R5cGVzXS54bWx8kM9OwzAMh+9IvEPkK2pTOCCE2u5A 4QgIjQewEreN1jpRHMr29qTbuCDg6D8/f59cb/bzpBaK4jw3cF1WoIiNt46HBt63T8UdKEnI FifP1MCBBDbt5UW9PQQSldMsDYwphXutxYw0o5Q+EOdJ7+OMKZdx0AHNDgfSN1V1q43nRJyK tN6Atu6ox48pqcd9bp9MIk0C6uG0uLIawBAmZzBlU72w/UEpzoQyJ487MrogV1kD9K+EdfI3 4Jx7ya+JzpJ6xZiecc4a2kbR1n9ypKX8/8hqOUvh+94ZKrsoXY690fJtpY9PbL8AAAD//wMA UEsDBBQABgAIAAAAIQBa9CxbvwAAABUBAAALAAAAX3JlbHMvLnJlbHNsz8FqwzAMBuD7YO9g dF+U7lDGiNNbodfSPoCxlcQstoxksvXtZ3pqx46S+D9Jw+EnrWYj0cjZwq7rwVD2HGKeLVwv x7cPMFpdDm7lTBZupHAYX1+GM62utpAusahpSlYLS63lE1H9Qslpx4Vym0wsydVWyozF+S83 E773/R7l0YDxyTSnYEFOYQfmcitt8x87RS+sPNXOc0Kepuj/UzHwdz7T1hQnM1ULQfTeFNq6 dhzgOODTM+MvAAAA//8DAFBLAwQUAAYACAAAACEAlplQ89MAAAD5AAAADwAAAGRycy9kb3du cmV2LnhtbESPQW7CMBBF95V6B2sqdVccWKAqYBACVakUNqQcYBpP4pR4HNmGhNvXYtEu//zR +3rr7WR7cSMfOscK5rMMBHHtdMetgvPXx9s7iBCRNfaOScGdAmw3z09rzLUb+US3KrYiQTjk qMDEOORShtqQxTBzA3HqGuctxhR9K7XHMcFtLxdZtpQWO04LBgfaG6ov1dUqOC5+9pU17XSw ZVFcjiUtz81VqdeXabcCEWmK/89juStk+Vc+UJ9aQTJpivu37/QJQyT/uCTTZAly8wsAAP// AwBQSwECLQAUAAYACAAAACEA2+H2y+4AAACFAQAAEwAAAAAAAAAAAAAAAAAAAAAAW0NvbnRl bnRfVHlwZXNdLnhtbFBLAQItABQABgAIAAAAIQBa9CxbvwAAABUBAAALAAAAAAAAAAAAAAAA AB8BAABfcmVscy8ucmVsc1BLAQItABQABgAIAAAAIQCWmVDz0wAAAPkAAAAPAAAAAAAAAAAA AAAAAAcCAABkcnMvZG93bnJldi54bWxQSwUGAAAAAAMAAwC3AAAABwMAAAAAAAAP8BAAAADh AAAA4gwAAIQDAADTDQAADwAR8EIAAAAPAIgTOgAAAA8AihMyAAAAAAC6Dw4AAABfAF8AXwBQ AFAAVAA5AAAAixMUAAAAAACsDwwAAAAAAAAAAAAAAAAAAAAPAA3wWgAAAAAAnw8EAAAABAAA AAAAoQ8cAAAAAQAAAAAAAAAKAAcAAQAAAAAARQABAAEAAAAA/gAAqg8OAAAAAQAAAAcAAAAA AAcMAAAAAKYPDAAAAPAAAADUAdAC8AMQBQ8ABPA1BQAAEgAK8AgAAAAaMAAAAgoAAHMAC/Aq AAAAfwAAAAQAgACA9DYFvwAEAAQAgQHp7fQAvwEQABQA/wEAAAgAvwMAAAIAEwAi8doDAACp w9QDAABQSwMEFAAGAAgAAAAhANvh9svuAAAAhQEAABMAAABbQ29udGVudF9UeXBlc10ueG1s fJDPTsMwDIfvSLxD5CtqUzgghNruQOEICI0HsBK3jdY6URzK9vak27gg4Og/P3+fXG/286QW iuI8N3BdVqCIjbeOhwbet0/FHShJyBYnz9TAgQQ27eVFvT0EEpXTLA2MKYV7rcWMNKOUPhDn Se/jjCmXcdABzQ4H0jdVdauN50ScirTegLbuqMePKanHfW6fTCJNAurhtLiyGsAQJmcwZVO9 sP1BKc6EMiePOzK6IFdZA/SvhHXyN+Cce8mvic6SesWYnnHOGtpG0dZ/cqSl/P/IajlL4fve GSq7KF2OvdHybaWPT2y/AAAA//8DAFBLAwQUAAYACAAAACEAWvQsW78AAAAVAQAACwAAAF9y ZWxzLy5yZWxzbM/BasMwDAbg+2DvYHRflO5QxojTW6HX0j6AsZXELLaMZLL17Wd6aseOkvg/ ScPhJ61mI9HI2cKu68FQ9hxini1cL8e3DzBaXQ5u5UwWbqRwGF9fhjOtrraQLrGoaUpWC0ut 5RNR/ULJaceFcptMLMnVVsqMxfkvNxO+9/0e5dGA8ck0p2BBTmEH5nIrbfMfO0UvrDzVznNC nqbo/1Mx8Hc+09YUJzNVC0H03hTaunYc4Djg0zPjLwAAAP//AwBQSwMEFAAGAAgAAAAhAJL/ 6wHTAAAA+QAAAA8AAABkcnMvZG93bnJldi54bWxMj0FuwjAQRfeVegdrkLorDixolWIQoqpS KWwIHGAaT+JAPI5sA+H2tVhUXf75o/f1luvR9uJKPnSOFcymGQji2umOWwXHw9frO4gQkTX2 jknBnQKsV89PS8y1u/GerlVsRYJwyFGBiXHIpQy1IYth6gbi1DXOW4wp+lZqj7cEt72cZ9lC Wuw4LRgcaGuoPlcXq2A3P20ra9rx05ZFcd6VtDg2F6VeJuPmA0SkMf579m+bU/lXPlDfWkEy aYr7j+/0HkMk/7gk02QJcvULAAD//wMAUEsBAi0AFAAGAAgAAAAhANvh9svuAAAAhQEAABMA AAAAAAAAAAAAAAAAAAAAAFtDb250ZW50X1R5cGVzXS54bWxQSwECLQAUAAYACAAAACEAWvQs W78AAAAVAQAACwAAAAAAAAAAAAAAAAAfAQAAX3JlbHMvLnJlbHNQSwECLQAUAAYACAAAACEA kv/rAdMAAAD5AAAADwAAAAAAAAAAAAAAAAAHAgAAZHJzL2Rvd25yZXYueG1sUEsFBgAAAAAD AAMAtwAAAAcDAAAAAAAAD/AQAAAAhAMAAOIMAACfFQAA0w0AAA8AEfBOAAAADwCIE0YAAAAP AIoTPgAAAAAAug8OAAAAXwBfAF8AUABQAFQAOQAAAIsTIAAAAAAArA8YAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAADwAN8JsAAAAAAJ8PBAAAAAQAAAAAAKgPGQAAAEFsYXJtIHRlbXBs YXRlIG1ldGEgbW9kZWwAAKEPLgAAABoAAAABAAAACgAHABkAAAAAAEUAAQABAAAAAP4BAAAA AARFAAAEAQABAAAAAP4AAKoPHAAAABkAAAAHAAAAAAAHDAAAAQAAAAcAAAAAAAcMAAAAAKYP DAAAAOgAAADYANAC8AMQBQ8ABPAlBQAAEgAK8AgAAAAbMAAAAgoAAHMAC/AqAAAAfwAAAAQA gACg9TYFvwAEAAQAgQHQ2OgAvwEQABQA/wEAAAgAvwMAAAIAEwAi8dsDAACpw9UDAABQSwME FAAGAAgAAAAhANvh9svuAAAAhQEAABMAAABbQ29udGVudF9UeXBlc10ueG1sfJDPTsMwDIfv SLxD5CtqUzgghNruQOEICI0HsBK3jdY6URzK9vak27gg4Og/P3+fXG/286QWiuI8N3BdVqCI jbeOhwbet0/FHShJyBYnz9TAgQQ27eVFvT0EEpXTLA2MKYV7rcWMNKOUPhDnSe/jjCmXcdAB zQ4H0jdVdauN50ScirTegLbuqMePKanHfW6fTCJNAurhtLiyGsAQJmcwZVO9sP1BKc6EMieP OzK6IFdZA/SvhHXyN+Cce8mvic6SesWYnnHOGtpG0dZ/cqSl/P/IajlL4fveGSq7KF2OvdHy baWPT2y/AAAA//8DAFBLAwQUAAYACAAAACEAWvQsW78AAAAVAQAACwAAAF9yZWxzLy5yZWxz bM/BasMwDAbg+2DvYHRflO5QxojTW6HX0j6AsZXELLaMZLL17Wd6aseOkvg/ScPhJ61mI9HI 2cKu68FQ9hxini1cL8e3DzBaXQ5u5UwWbqRwGF9fhjOtrraQLrGoaUpWC0ut5RNR/ULJaceF cptMLMnVVsqMxfkvNxO+9/0e5dGA8ck0p2BBTmEH5nIrbfMfO0UvrDzVznNCnqbo/1Mx8Hc+ 09YUJzNVC0H03hTaunYc4Djg0zPjLwAAAP//AwBQSwMEFAAGAAgAAAAhAMI4hOvUAAAA+QAA AA8AAABkcnMvZG93bnJldi54bWxEj01LAzEQhu+C/yGM4EVs1oIi26alCLJ+nFrF8zSZ/WA3 kyVJt2l/vaEHPb7zDs/Ls1wnO4iJfOgcK3iYFSCItTMdNwq+v17vn0GEiGxwcEwKThRgvbq+ WmJp3JG3NO1iIzKEQ4kK2hjHUsqgW7IYZm4kzl3tvMWYo2+k8XjMcDvIeVE8SYsd54UWR3pp Sfe7g1WAdx+p8j69y8fpJx3On33V7wulbm/SZgEiUor/z1qe57r+Ky+oN6Mgm9TVae87s8UQ yV8u2TRbglz9AgAA//8DAFBLAQItABQABgAIAAAAIQDb4fbL7gAAAIUBAAATAAAAAAAAAAAA AAAAAAAAAABbQ29udGVudF9UeXBlc10ueG1sUEsBAi0AFAAGAAgAAAAhAFr0LFu/AAAAFQEA AAsAAAAAAAAAAAAAAAAAHwEAAF9yZWxzLy5yZWxzUEsBAi0AFAAGAAgAAAAhAMI4hOvUAAAA +QAAAA8AAAAAAAAAAAAAAAAABwIAAGRycy9kb3ducmV2LnhtbFBLBQYAAAAAAwADALcAAAAI AwAAAAAAAA/wEAAAAOEAAADTDQAAhAMAAAEPAAAPABHwTgAAAA8AiBNGAAAADwCKEz4AAAAA ALoPDgAAAF8AXwBfAFAAUABUADkAAACLEyAAAAAAAKwPGAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAA8ADfCKAAAAAACfDwQAAAAEAAAAAACoDwgAAABMYXllciBJSQAAoQ8uAAAACQAA AAAAAAAKAAcACAAAAAAARQABAAEAAAAA/gEAAAAABEUAAAQBAAEAAAAA/gAAqg8cAAAACAAA AAcAAAAAAAcMAAABAAAABwAAAAAABwwAAAAApg8MAAAA8AAAANQB0ALwAxAFDwAE8GYFAAAS AArwCAAAABwwAAACCgAAcwAL8CoAAAB/AAAABACAAMD2NgW/AAQABACBAdDY6AC/ARAAFAD/ AQAACAC/AwAAAgATACLx2wMAAKnD1QMAAFBLAwQUAAYACAAAACEA2+H2y+4AAACFAQAAEwAA AFtDb250ZW50X1R5cGVzXS54bWx8kM9OwzAMh+9IvEPkK2pTOCCE2u5A4QgIjQewEreN1jpR HMr29qTbuCDg6D8/f59cb/bzpBaK4jw3cF1WoIiNt46HBt63T8UdKEnIFifP1MCBBDbt5UW9 PQQSldMsDYwphXutxYw0o5Q+EOdJ7+OMKZdx0AHNDgfSN1V1q43nRJyKtN6Atu6ox48pqcd9 bp9MIk0C6uG0uLIawBAmZzBlU72w/UEpzoQyJ487MrogV1kD9K+EdfI34Jx7ya+JzpJ6xZie cc4a2kbR1n9ypKX8/8hqOUvh+94ZKrsoXY690fJtpY9PbL8AAAD//wMAUEsDBBQABgAIAAAA IQBa9CxbvwAAABUBAAALAAAAX3JlbHMvLnJlbHNsz8FqwzAMBuD7YO9gdF+U7lDGiNNbodfS PoCxlcQstoxksvXtZ3pqx46S+D9Jw+EnrWYj0cjZwq7rwVD2HGKeLVwvx7cPMFpdDm7lTBZu pHAYX1+GM62utpAusahpSlYLS63lE1H9Qslpx4Vym0wsydVWyozF+S83E773/R7l0YDxyTSn YEFOYQfmcitt8x87RS+sPNXOc0Kepuj/UzHwdz7T1hQnM1ULQfTeFNq6dhzgOODTM+MvAAAA //8DAFBLAwQUAAYACAAAACEAOpNO9dQAAAD5AAAADwAAAGRycy9kb3ducmV2LnhtbESPQWsC MRCF74X+hzCFXopmK7TIapQiyNr2pJaex824SXeTLElcY399g4d6fPOG7/HNl8l0bCAftLMC nscFMLK1k9o2Ar7269EUWIhoJXbOkoALBVgu7u/mWEp3tlsadrFhGWJDiQJUjH3JeagVGQxj 15PN3dF5gzFH33Dp8ZzhpuOTonjlBrXNCwp7Wimq293JCMCnj1R5n975y/CdTr+fbdUeCiEe H9LbDFikFG/PWm1+Jum/vKI2UkA2OVaXg9dyiyGSv16yabYEvvgDAAD//wMAUEsBAi0AFAAG AAgAAAAhANvh9svuAAAAhQEAABMAAAAAAAAAAAAAAAAAAAAAAFtDb250ZW50X1R5cGVzXS54 bWxQSwECLQAUAAYACAAAACEAWvQsW78AAAAVAQAACwAAAAAAAAAAAAAAAAAfAQAAX3JlbHMv LnJlbHNQSwECLQAUAAYACAAAACEAOpNO9dQAAAD5AAAADwAAAAAAAAAAAAAAAAAHAgAAZHJz L2Rvd25yZXYueG1sUEsFBgAAAAADAAMAtwAAAAgDAAAAAAAAD/AQAAAAhAMAANMNAACfFQAA AQ8AAA8AEfBOAAAADwCIE0YAAAAPAIoTPgAAAAAAug8OAAAAXwBfAF8AUABQAFQAOQAAAIsT IAAAAAAArA8YAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADwAN8MsAAAAAAJ8PBAAAAAQA AAAAAKgPNwAAAE9iamVjdCBNb2RlbCAocHJvdG90eXBlIG1ldGhvZHMtb3BlcmF0aW9ucywg ZGF0YSB0eXBlcykAAKEPQAAAADgAAAAAAAAACgAHAA0AAAABAEUAAQABAAEAAAAA/ioAAAAA AEUAAQABAAAAAP4BAAAAAARFAAAEAQABAAAAAP4AAKoPHAAAADcAAAAHAAAAAAAJBAAAAQAA AAcAAAAAAAcMAAAAAKYPDAAAAPAAAADUAdAC8AMQBQ8ABPAkBQAAEgAK8AgAAAAdMAAAAgoA AHMAC/AqAAAAfwAAAAQAgADg9zYFvwAEAAQAgQHp7fQAvwEQABQA/wEAAAgAvwMAAAIAEwAi 8dsDAACpw9UDAABQSwMEFAAGAAgAAAAhANvh9svuAAAAhQEAABMAAABbQ29udGVudF9UeXBl c10ueG1sfJDPTsMwDIfvSLxD5CtqUzgghNruQOEICI0HsBK3jdY6URzK9vak27gg4Og/P3+f XG/286QWiuI8N3BdVqCIjbeOhwbet0/FHShJyBYnz9TAgQQ27eVFvT0EEpXTLA2MKYV7rcWM NKOUPhDnSe/jjCmXcdABzQ4H0jdVdauN50ScirTegLbuqMePKanHfW6fTCJNAurhtLiyGsAQ JmcwZVO9sP1BKc6EMiePOzK6IFdZA/SvhHXyN+Cce8mvic6SesWYnnHOGtpG0dZ/cqSl/P/I ajlL4fveGSq7KF2OvdHybaWPT2y/AAAA//8DAFBLAwQUAAYACAAAACEAWvQsW78AAAAVAQAA CwAAAF9yZWxzLy5yZWxzbM/BasMwDAbg+2DvYHRflO5QxojTW6HX0j6AsZXELLaMZLL17Wd6 aseOkvg/ScPhJ61mI9HI2cKu68FQ9hxini1cL8e3DzBaXQ5u5UwWbqRwGF9fhjOtrraQLrGo aUpWC0ut5RNR/ULJaceFcptMLMnVVsqMxfkvNxO+9/0e5dGA8ck0p2BBTmEH5nIrbfMfO0Uv rDzVznNCnqbo/1Mx8Hc+09YUJzNVC0H03hTaunYc4Djg0zPjLwAAAP//AwBQSwMEFAAGAAgA AAAhAI/cwuDUAAAA+QAAAA8AAABkcnMvZG93bnJldi54bWxEjzFvwjAQhfdK/AfrkLoVpwyo SjGoAkEqwUJg6XaNL7FLbEe2AfPvazG047t3+p6++TKZnl3JB+2sgNdJAYxs46S2nYDTcfPy BixEtBJ7Z0nAnQIsF6OnOZbS3eyBrnXsWIbYUKIAFeNQch4aRQbDxA1kc9c6bzDm6DsuPd4y 3PR8WhQzblDbvKBwoJWi5lxfjID99GdVG9WltdlV1Xm/o9mpvQjxPE4f78Aipfj/nNZ6+3X8 Kx+oTykgm7TV/dtrecAQyT8u2TRbAl/8AgAA//8DAFBLAQItABQABgAIAAAAIQDb4fbL7gAA AIUBAAATAAAAAAAAAAAAAAAAAAAAAABbQ29udGVudF9UeXBlc10ueG1sUEsBAi0AFAAGAAgA AAAhAFr0LFu/AAAAFQEAAAsAAAAAAAAAAAAAAAAAHwEAAF9yZWxzLy5yZWxzUEsBAi0AFAAG AAgAAAAhAI/cwuDUAAAA+QAAAA8AAAAAAAAAAAAAAAAABwIAAGRycy9kb3ducmV2LnhtbFBL BQYAAAAAAwADALcAAAAIAwAAAAAAAA/wEAAAAOEAAAABDwAAhAMAAFoQAAAPABHwTgAAAA8A iBNGAAAADwCKEz4AAAAAALoPDgAAAF8AXwBfAFAAUABUADkAAACLEyAAAAAAAKwPGAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA8ADfCJAAAAAACfDwQAAAAEAAAAAACoDwcAAABMYXll ciBJAAChDy4AAAAIAAAAAAAAAAoABwAHAAAAAABFAAEAAQAAAAD+AQAAAAAERQAABAEAAQAA AAD+AACqDxwAAAAHAAAABwAAAAAABwwAAAEAAAAHAAAAAAAHDAAAAACmDwwAAADwAAAA1AHQ AvADEAUPAATw+QQAABIACvAIAAAAHjAAAAIKAABzAAvwKgAAAH8AAAAEAIAAAPk2Bb8ABAAE AIEB6e30AL8BEAAUAP8BAAAIAL8DAAACABMAIvHbAwAAqcPVAwAAUEsDBBQABgAIAAAAIQDb 4fbL7gAAAIUBAAATAAAAW0NvbnRlbnRfVHlwZXNdLnhtbHyQz07DMAyH70i8Q+QralM4IITa 7kDhCAiNB7ASt43WOlEcyvb2pNu4IODoPz9/n1xv9vOkForiPDdwXVagiI23jocG3rdPxR0o ScgWJ8/UwIEENu3lRb09BBKV0ywNjCmFe63FjDSjlD4Q50nv44wpl3HQAc0OB9I3VXWrjedE nIq03oC27qjHjympx31un0wiTQLq4bS4shrAECZnMGVTvbD9QSnOhDInjzsyuiBXWQP0r4R1 8jfgnHvJr4nOknrFmJ5xzhraRtHWf3Kkpfz/yGo5S+H73hkquyhdjr3R8m2lj09svwAAAP// AwBQSwMEFAAGAAgAAAAhAFr0LFu/AAAAFQEAAAsAAABfcmVscy8ucmVsc2zPwWrDMAwG4Ptg 72B0X5TuUMaI01uh19I+gLGVxCy2jGSy9e1nemrHjpL4P0nD4SetZiPRyNnCruvBUPYcYp4t XC/Htw8wWl0ObuVMFm6kcBhfX4Yzra62kC6xqGlKVgtLreUTUf1CyWnHhXKbTCzJ1VbKjMX5 LzcTvvf9HuXRgPHJNKdgQU5hB+ZyK23zHztFL6w81c5zQp6m6P9TMfB3PtPWFCczVQtB9N4U 2rp2HOA44NMz4y8AAAD//wMAUEsDBBQABgAIAAAAIQDq8Gqq1AAAAPkAAAAPAAAAZHJzL2Rv d25yZXYueG1sRI9BasMwEEX3hd5BTKG7Rm4WobhRgkkJLiSbuDnA1Bpbrq2RkRTHuX1FFu3y zx/e5623sx3ERD50jhW8LjIQxLXTHbcKzl/7lzcQISJrHByTghsF2G4eH9aYa3flE01VbEWC cMhRgYlxzKUMtSGLYeFG4tQ1zluMKfpWao/XBLeDXGbZSlrsOC0YHGlnqO6ri1VwXP7sKmva +cMeyrI/Hmh1bi5KPT/NxTuISHP8f66K/dQXf+Ud9akVJJOmvH37Tp8wRPL3SzJNliA3vwAA AP//AwBQSwECLQAUAAYACAAAACEA2+H2y+4AAACFAQAAEwAAAAAAAAAAAAAAAAAAAAAAW0Nv bnRlbnRfVHlwZXNdLnhtbFBLAQItABQABgAIAAAAIQBa9CxbvwAAABUBAAALAAAAAAAAAAAA AAAAAB8BAABfcmVscy8ucmVsc1BLAQItABQABgAIAAAAIQDq8Gqq1AAAAPkAAAAPAAAAAAAA AAAAAAAAAAcCAABkcnMvZG93bnJldi54bWxQSwUGAAAAAAMAAwC3AAAACAMAAAAAAAAP8BAA AACEAwAAAQ8AAJ8VAABaEAAADwAN8LQAAAAAAJ8PBAAAAAQAAAAAAKgPQAAAAEFjY2VzcyBN ZXRob2QgKFNOTVAsIENMSSwgTmV0Y29uLCBDTUlQLCBDT1JCQSwgWE1MLVJQQywgU09BUC4u LikAAKEPLgAAAEEAAAAAAAAACgAHAA4AAAABAEUAAQABAAEAAAAA/jMAAAAAAEUAAQABAAAA AP4AAKoPDgAAAEEAAAAHAAAAAAAHDAAAAACmDwwAAADwAAAA1AHQAvADEAUPAATwQAQAAEIB CvAIAAAAHzAAAAIKAABzAAvwKgAAAL8ABAAEAH8BAAABAL8BAAAQAMABAAAACMsBnDEAAP8B GAAYAL8DAAACACMAIvHeAwAA/wEAAEAAqcPSAwAAUEsDBBQABgAIAAAAIQDb4fbL7gAAAIUB AAATAAAAW0NvbnRlbnRfVHlwZXNdLnhtbHyQz07DMAyH70i8Q+QralM4IITa7kDhCAiNB7AS t43WOlEcyvb2pNu4IODoPz9/n1xv9vOkForiPDdwXVagiI23jocG3rdPxR0oScgWJ8/UwIEE Nu3lRb09BBKV0ywNjCmFe63FjDSjlD4Q50nv44wpl3HQAc0OB9I3VXWrjedEnIq03oC27qjH jympx31un0wiTQLq4bS4shrAECZnMGVTvbD9QSnOhDInjzsyuiBXWQP0r4R18jfgnHvJr4nO knrFmJ5xzhraRtHWf3Kkpfz/yGo5S+H73hkquyhdjr3R8m2lj09svwAAAP//AwBQSwMEFAAG AAgAAAAhAFr0LFu/AAAAFQEAAAsAAABfcmVscy8ucmVsc2zPwWrDMAwG4Ptg72B0X5TuUMaI 01uh19I+gLGVxCy2jGSy9e1nemrHjpL4P0nD4SetZiPRyNnCruvBUPYcYp4tXC/Htw8wWl0O buVMFm6kcBhfX4Yzra62kC6xqGlKVgtLreUTUf1CyWnHhXKbTCzJ1VbKjMX5LzcTvvf9HuXR gPHJNKdgQU5hB+ZyK23zHztFL6w81c5zQp6m6P9TMfB3PtPWFCczVQtB9N4U2rp2HOA44NMz 4y8AAAD//wMAUEsDBBQABgAIAAAAIQCuEwHI0QAAAOwAAAAPAAAAZHJzL2Rvd25yZXYueG1s RI9BawIxEIXvQv9DmEJvmm2hKlujbAvFXnpYFam36WbcLN1MliR1V399QxE8zsyb9963WA22 FSfyoXGs4HGSgSCunG64VrDbvo/nIEJE1tg6JgVnCrBa3o0WmGvXc0mnTaxFMuGQowITY5dL GSpDFsPEdcTpdnTeYkyjr6X22Cdz28qnLJtKiw2nBIMdvRmqfja/VsHnuji8XnRfbsu9kc+z Xb0/fBVKPdwPxQuISEO8ia/fH1pBKn9cn799o0sMkfz/JsElMJDLPwAAAP//AwBQSwECLQAU AAYACAAAACEA2+H2y+4AAACFAQAAEwAAAAAAAAAAAAAAAAAAAAAAW0NvbnRlbnRfVHlwZXNd LnhtbFBLAQItABQABgAIAAAAIQBa9CxbvwAAABUBAAALAAAAAAAAAAAAAAAAAB8BAABfcmVs cy8ucmVsc1BLAQItABQABgAIAAAAIQCuEwHI0QAAAOwAAAAPAAAAAAAAAAAAAAAAAAcCAABk cnMvZG93bnJldi54bWxQSwUGAAAAAAMAAwC3AAAABQMAAAAAAAAP8BAAAACEAwAAKgMAAIQD AABaEAAADwAE8DwEAABCAQrwCAAAACAwAAACCgAAcwAL8CoAAAC/AAQABAB/AQAAAQC/AQAA EADAAQAAAAjLAdSUAAD/ARgAGAC/AwAAAgAjACLx2gMAAP8BAABAAKnDzgMAAFBLAwQUAAYA CAAAACEA2+H2y+4AAACFAQAAEwAAAFtDb250ZW50X1R5cGVzXS54bWx8kM9OwzAMh+9IvEPk K2pTOCCE2u5A4QgIjQewEreN1jpRHMr29qTbuCDg6D8/f59cb/bzpBaK4jw3cF1WoIiNt46H Bt63T8UdKEnIFifP1MCBBDbt5UW9PQQSldMsDYwphXutxYw0o5Q+EOdJ7+OMKZdx0AHNDgfS N1V1q43nRJyKtN6Atu6ox48pqcd9bp9MIk0C6uG0uLIawBAmZzBlU72w/UEpzoQyJ487Mrog V1kD9K+EdfI34Jx7ya+JzpJ6xZiecc4a2kbR1n9ypKX8/8hqOUvh+94ZKrsoXY690fJtpY9P bL8AAAD//wMAUEsDBBQABgAIAAAAIQBa9CxbvwAAABUBAAALAAAAX3JlbHMvLnJlbHNsz8Fq wzAMBuD7YO9gdF+U7lDGiNNbodfSPoCxlcQstoxksvXtZ3pqx46S+D9Jw+EnrWYj0cjZwq7r wVD2HGKeLVwvx7cPMFpdDm7lTBZupHAYX1+GM62utpAusahpSlYLS63lE1H9Qslpx4Vym0ws ydVWyozF+S83E773/R7l0YDxyTSnYEFOYQfmcitt8x87RS+sPNXOc0Kepuj/UzHwdz7T1hQn M1ULQfTeFNq6dhzgOODTM+MvAAAA//8DAFBLAwQUAAYACAAAACEAR10jPs0AAADsAAAADwAA AGRycy9kb3ducmV2LnhtbESPQWvDMAyF74X9B6PBbq2zDcLI6pYx6NrDLk1LzmqsxGGxHGyv df/9TCnsKOnpvfct18mO4kw+DI4VPC8KEMSt0wP3Co6HzfwNRIjIGkfHpOBKAdarh9kSK+0u vKdzHXuRTThUqMDEOFVShtaQxbBwE3G+dc5bjHn0vdQeL9ncjvKlKEppceCcYHCiT0PtT/1r FXy/OtvU3VcyTdqObDZledihUk+P6eMdRKQU/8X3751WkMt32+vJD3qPIZK/bTJcBgO5+gMA AP//AwBQSwECLQAUAAYACAAAACEA2+H2y+4AAACFAQAAEwAAAAAAAAAAAAAAAAAAAAAAW0Nv bnRlbnRfVHlwZXNdLnhtbFBLAQItABQABgAIAAAAIQBa9CxbvwAAABUBAAALAAAAAAAAAAAA AAAAAB8BAABfcmVscy8ucmVsc1BLAQItABQABgAIAAAAIQBHXSM+zQAAAOwAAAAPAAAAAAAA AAAAAAAAAAcCAABkcnMvZG93bnJldi54bWxQSwUGAAAAAAMAAwC3AAAAAQMAAAAAAAAP8BAA AADhAAAAZQQAAJ8VAABlBAAADwAE8EAEAABCAQrwCAAAACEwAAACCgAAcwAL8CoAAAC/AAQA BAB/AQAAAQC/AQAAEADAAQAAAAjLAZwxAAD/ARgAGAC/AwAAAgAjACLx3gMAAP8BAABAAKnD 0gMAAFBLAwQUAAYACAAAACEA2+H2y+4AAACFAQAAEwAAAFtDb250ZW50X1R5cGVzXS54bWx8 kM9OwzAMh+9IvEPkK2pTOCCE2u5A4QgIjQewEreN1jpRHMr29qTbuCDg6D8/f59cb/bzpBaK 4jw3cF1WoIiNt46HBt63T8UdKEnIFifP1MCBBDbt5UW9PQQSldMsDYwphXutxYw0o5Q+EOdJ 7+OMKZdx0AHNDgfSN1V1q43nRJyKtN6Atu6ox48pqcd9bp9MIk0C6uG0uLIawBAmZzBlU72w /UEpzoQyJ487MrogV1kD9K+EdfI34Jx7ya+JzpJ6xZiecc4a2kbR1n9ypKX8/8hqOUvh+94Z KrsoXY690fJtpY9PbL8AAAD//wMAUEsDBBQABgAIAAAAIQBa9CxbvwAAABUBAAALAAAAX3Jl bHMvLnJlbHNsz8FqwzAMBuD7YO9gdF+U7lDGiNNbodfSPoCxlcQstoxksvXtZ3pqx46S+D9J w+EnrWYj0cjZwq7rwVD2HGKeLVwvx7cPMFpdDm7lTBZupHAYX1+GM62utpAusahpSlYLS63l E1H9Qslpx4Vym0wsydVWyozF+S83E773/R7l0YDxyTSnYEFOYQfmcitt8x87RS+sPNXOc0Ke puj/UzHwdz7T1hQnM1ULQfTeFNq6dhzgOODTM+MvAAAA//8DAFBLAwQUAAYACAAAACEArhMB yNEAAADsAAAADwAAAGRycy9kb3ducmV2LnhtbESPQWsCMRCF70L/Q5hCb5ptoSpbo2wLxV56 WBWpt+lm3CzdTJYkdVd/fUMRPM7Mm/fet1gNthUn8qFxrOBxkoEgrpxuuFaw276P5yBCRNbY OiYFZwqwWt6NFphr13NJp02sRTLhkKMCE2OXSxkqQxbDxHXE6XZ03mJMo6+l9tgnc9vKpyyb SosNpwSDHb0Zqn42v1bB57o4vF50X27LvZHPs129P3wVSj3cD8ULiEhDvImv3x9aQSp/XJ+/ faNLDJH8/ybBJTCQyz8AAAD//wMAUEsBAi0AFAAGAAgAAAAhANvh9svuAAAAhQEAABMAAAAA AAAAAAAAAAAAAAAAAFtDb250ZW50X1R5cGVzXS54bWxQSwECLQAUAAYACAAAACEAWvQsW78A AAAVAQAACwAAAAAAAAAAAAAAAAAfAQAAX3JlbHMvLnJlbHNQSwECLQAUAAYACAAAACEArhMB yNEAAADsAAAADwAAAAAAAAAAAAAAAAAHAgAAZHJzL2Rvd25yZXYueG1sUEsFBgAAAAADAAMA twAAAAUDAAAAAAAAD/AQAAAA4QAAAEsFAACfFQAASwUAAA8ABPBABAAAQgEK8AgAAAAiMAAA AgoAAHMAC/AqAAAAvwAEAAQAfwEAAAEAvwEAABAAwAEAAAAIywGcMQAA/wEYABgAvwMAAAIA IwAi8d4DAAD/AQAAQACpw9IDAABQSwMEFAAGAAgAAAAhANvh9svuAAAAhQEAABMAAABbQ29u dGVudF9UeXBlc10ueG1sfJDPTsMwDIfvSLxD5CtqUzgghNruQOEICI0HsBK3jdY6URzK9vak 27gg4Og/P3+fXG/286QWiuI8N3BdVqCIjbeOhwbet0/FHShJyBYnz9TAgQQ27eVFvT0EEpXT LA2MKYV7rcWMNKOUPhDnSe/jjCmXcdABzQ4H0jdVdauN50ScirTegLbuqMePKanHfW6fTCJN AurhtLiyGsAQJmcwZVO9sP1BKc6EMiePOzK6IFdZA/SvhHXyN+Cce8mvic6SesWYnnHOGtpG 0dZ/cqSl/P/IajlL4fveGSq7KF2OvdHybaWPT2y/AAAA//8DAFBLAwQUAAYACAAAACEAWvQs W78AAAAVAQAACwAAAF9yZWxzLy5yZWxzbM/BasMwDAbg+2DvYHRflO5QxojTW6HX0j6AsZXE LLaMZLL17Wd6aseOkvg/ScPhJ61mI9HI2cKu68FQ9hxini1cL8e3DzBaXQ5u5UwWbqRwGF9f hjOtrraQLrGoaUpWC0ut5RNR/ULJaceFcptMLMnVVsqMxfkvNxO+9/0e5dGA8ck0p2BBTmEH 5nIrbfMfO0UvrDzVznNCnqbo/1Mx8Hc+09YUJzNVC0H03hTaunYc4Djg0zPjLwAAAP//AwBQ SwMEFAAGAAgAAAAhAK4TAcjRAAAA7AAAAA8AAABkcnMvZG93bnJldi54bWxEj0FrAjEQhe9C /0OYQm+abaEqW6NsC8VeelgVqbfpZtws3UyWJHVXf31DETzOzJv33rdYDbYVJ/KhcazgcZKB IK6cbrhWsNu+j+cgQkTW2DomBWcKsFrejRaYa9dzSadNrEUy4ZCjAhNjl0sZKkMWw8R1xOl2 dN5iTKOvpfbYJ3Pbyqcsm0qLDacEgx29Gap+Nr9Wwee6OLxedF9uy72Rz7NdvT98FUo93A/F C4hIQ7yJr98fWkEqf1yfv32jSwyR/P8mwSUwkMs/AAAA//8DAFBLAQItABQABgAIAAAAIQDb 4fbL7gAAAIUBAAATAAAAAAAAAAAAAAAAAAAAAABbQ29udGVudF9UeXBlc10ueG1sUEsBAi0A FAAGAAgAAAAhAFr0LFu/AAAAFQEAAAsAAAAAAAAAAAAAAAAAHwEAAF9yZWxzLy5yZWxzUEsB Ai0AFAAGAAgAAAAhAK4TAcjRAAAA7AAAAA8AAAAAAAAAAAAAAAAABwIAAGRycy9kb3ducmV2 LnhtbFBLBQYAAAAAAwADALcAAAAFAwAAAAAAAA/wEAAAAOEAAAAyBgAAnxUAADIGAAAPAATw QAQAAEIBCvAIAAAAIzAAAAIKAABzAAvwKgAAAL8ABAAEAH8BAAABAL8BAAAQAMABAAAACMsB nDEAAP8BGAAYAL8DAAACACMAIvHeAwAA/wEAAEAAqcPSAwAAUEsDBBQABgAIAAAAIQDb4fbL 7gAAAIUBAAATAAAAW0NvbnRlbnRfVHlwZXNdLnhtbHyQz07DMAyH70i8Q+QralM4IITa7kDh CAiNB7ASt43WOlEcyvb2pNu4IODoPz9/n1xv9vOkForiPDdwXVagiI23jocG3rdPxR0oScgW J8/UwIEENu3lRb09BBKV0ywNjCmFe63FjDSjlD4Q50nv44wpl3HQAc0OB9I3VXWrjedEnIq0 3oC27qjHjympx31un0wiTQLq4bS4shrAECZnMGVTvbD9QSnOhDInjzsyuiBXWQP0r4R18jfg nHvJr4nOknrFmJ5xzhraRtHWf3Kkpfz/yGo5S+H73hkquyhdjr3R8m2lj09svwAAAP//AwBQ SwMEFAAGAAgAAAAhAFr0LFu/AAAAFQEAAAsAAABfcmVscy8ucmVsc2zPwWrDMAwG4Ptg72B0 X5TuUMaI01uh19I+gLGVxCy2jGSy9e1nemrHjpL4P0nD4SetZiPRyNnCruvBUPYcYp4tXC/H tw8wWl0ObuVMFm6kcBhfX4Yzra62kC6xqGlKVgtLreUTUf1CyWnHhXKbTCzJ1VbKjMX5LzcT vvf9HuXRgPHJNKdgQU5hB+ZyK23zHztFL6w81c5zQp6m6P9TMfB3PtPWFCczVQtB9N4U2rp2 HOA44NMz4y8AAAD//wMAUEsDBBQABgAIAAAAIQCuEwHI0QAAAOwAAAAPAAAAZHJzL2Rvd25y ZXYueG1sRI9BawIxEIXvQv9DmEJvmm2hKlujbAvFXnpYFam36WbcLN1MliR1V399QxE8zsyb 9963WA22FSfyoXGs4HGSgSCunG64VrDbvo/nIEJE1tg6JgVnCrBa3o0WmGvXc0mnTaxFMuGQ owITY5dLGSpDFsPEdcTpdnTeYkyjr6X22Cdz28qnLJtKiw2nBIMdvRmqfja/VsHnuji8XnRf bsu9kc+zXb0/fBVKPdwPxQuISEO8ia/fH1pBKn9cn799o0sMkfz/JsElMJDLPwAAAP//AwBQ SwECLQAUAAYACAAAACEA2+H2y+4AAACFAQAAEwAAAAAAAAAAAAAAAAAAAAAAW0NvbnRlbnRf VHlwZXNdLnhtbFBLAQItABQABgAIAAAAIQBa9CxbvwAAABUBAAALAAAAAAAAAAAAAAAAAB8B AABfcmVscy8ucmVsc1BLAQItABQABgAIAAAAIQCuEwHI0QAAAOwAAAAPAAAAAAAAAAAAAAAA AAcCAABkcnMvZG93bnJldi54bWxQSwUGAAAAAAMAAwC3AAAABQMAAAAAAAAP8BAAAADhAAAA JAcAAJ8VAAAkBwAADwAE8EAEAABCAQrwCAAAACQwAAACCgAAcwAL8CoAAAC/AAQABAB/AQAA AQC/AQAAEADAAQAAAAjLAZwxAAD/ARgAGAC/AwAAAgAjACLx3gMAAP8BAABAAKnD0gMAAFBL AwQUAAYACAAAACEA2+H2y+4AAACFAQAAEwAAAFtDb250ZW50X1R5cGVzXS54bWx8kM9OwzAM h+9IvEPkK2pTOCCE2u5A4QgIjQewEreN1jpRHMr29qTbuCDg6D8/f59cb/bzpBaK4jw3cF1W oIiNt46HBt63T8UdKEnIFifP1MCBBDbt5UW9PQQSldMsDYwphXutxYw0o5Q+EOdJ7+OMKZdx 0AHNDgfSN1V1q43nRJyKtN6Atu6ox48pqcd9bp9MIk0C6uG0uLIawBAmZzBlU72w/UEpzoQy J487MrogV1kD9K+EdfI34Jx7ya+JzpJ6xZiecc4a2kbR1n9ypKX8/8hqOUvh+94ZKrsoXY69 0fJtpY9PbL8AAAD//wMAUEsDBBQABgAIAAAAIQBa9CxbvwAAABUBAAALAAAAX3JlbHMvLnJl bHNsz8FqwzAMBuD7YO9gdF+U7lDGiNNbodfSPoCxlcQstoxksvXtZ3pqx46S+D9Jw+EnrWYj 0cjZwq7rwVD2HGKeLVwvx7cPMFpdDm7lTBZupHAYX1+GM62utpAusahpSlYLS63lE1H9Qslp x4Vym0wsydVWyozF+S83E773/R7l0YDxyTSnYEFOYQfmcitt8x87RS+sPNXOc0Kepuj/UzHw dz7T1hQnM1ULQfTeFNq6dhzgOODTM+MvAAAA//8DAFBLAwQUAAYACAAAACEArhMByNEAAADs AAAADwAAAGRycy9kb3ducmV2LnhtbESPQWsCMRCF70L/Q5hCb5ptoSpbo2wLxV56WBWpt+lm 3CzdTJYkdVd/fUMRPM7Mm/fet1gNthUn8qFxrOBxkoEgrpxuuFaw276P5yBCRNbYOiYFZwqw Wt6NFphr13NJp02sRTLhkKMCE2OXSxkqQxbDxHXE6XZ03mJMo6+l9tgnc9vKpyybSosNpwSD Hb0Zqn42v1bB57o4vF50X27LvZHPs129P3wVSj3cD8ULiEhDvImv3x9aQSp/XJ+/faNLDJH8 /ybBJTCQyz8AAAD//wMAUEsBAi0AFAAGAAgAAAAhANvh9svuAAAAhQEAABMAAAAAAAAAAAAA AAAAAAAAAFtDb250ZW50X1R5cGVzXS54bWxQSwECLQAUAAYACAAAACEAWvQsW78AAAAVAQAA CwAAAAAAAAAAAAAAAAAfAQAAX3JlbHMvLnJlbHNQSwECLQAUAAYACAAAACEArhMByNEAAADs AAAADwAAAAAAAAAAAAAAAAAHAgAAZHJzL2Rvd25yZXYueG1sUEsFBgAAAAADAAMAtwAAAAUD AAAAAAAAD/AQAAAA4QAAAAoIAACfFQAACggAAA8ABPBABAAAQgEK8AgAAAAlMAAAAgoAAHMA C/AqAAAAvwAEAAQAfwEAAAEAvwEAABAAwAEAAAAIywGcMQAA/wEYABgAvwMAAAIAIwAi8d4D AAD/AQAAQACpw9IDAABQSwMEFAAGAAgAAAAhANvh9svuAAAAhQEAABMAAABbQ29udGVudF9U eXBlc10ueG1sfJDPTsMwDIfvSLxD5CtqUzgghNruQOEICI0HsBK3jdY6URzK9vak27gg4Og/ P3+fXG/286QWiuI8N3BdVqCIjbeOhwbet0/FHShJyBYnz9TAgQQ27eVFvT0EEpXTLA2MKYV7 rcWMNKOUPhDnSe/jjCmXcdABzQ4H0jdVdauN50ScirTegLbuqMePKanHfW6fTCJNAurhtLiy GsAQJmcwZVO9sP1BKc6EMiePOzK6IFdZA/SvhHXyN+Cce8mvic6SesWYnnHOGtpG0dZ/cqSl /P/IajlL4fveGSq7KF2OvdHybaWPT2y/AAAA//8DAFBLAwQUAAYACAAAACEAWvQsW78AAAAV AQAACwAAAF9yZWxzLy5yZWxzbM/BasMwDAbg+2DvYHRflO5QxojTW6HX0j6AsZXELLaMZLL1 7Wd6aseOkvg/ScPhJ61mI9HI2cKu68FQ9hxini1cL8e3DzBaXQ5u5UwWbqRwGF9fhjOtrraQ LrGoaUpWC0ut5RNR/ULJaceFcptMLMnVVsqMxfkvNxO+9/0e5dGA8ck0p2BBTmEH5nIrbfMf O0UvrDzVznNCnqbo/1Mx8Hc+09YUJzNVC0H03hTaunYc4Djg0zPjLwAAAP//AwBQSwMEFAAG AAgAAAAhAK4TAcjRAAAA7AAAAA8AAABkcnMvZG93bnJldi54bWxEj0FrAjEQhe9C/0OYQm+a baEqW6NsC8VeelgVqbfpZtws3UyWJHVXf31DETzOzJv33rdYDbYVJ/KhcazgcZKBIK6cbrhW sNu+j+cgQkTW2DomBWcKsFrejRaYa9dzSadNrEUy4ZCjAhNjl0sZKkMWw8R1xOl2dN5iTKOv pfbYJ3Pbyqcsm0qLDacEgx29Gap+Nr9Wwee6OLxedF9uy72Rz7NdvT98FUo93A/FC4hIQ7yJ r98fWkEqf1yfv32jSwyR/P8mwSUwkMs/AAAA//8DAFBLAQItABQABgAIAAAAIQDb4fbL7gAA AIUBAAATAAAAAAAAAAAAAAAAAAAAAABbQ29udGVudF9UeXBlc10ueG1sUEsBAi0AFAAGAAgA AAAhAFr0LFu/AAAAFQEAAAsAAAAAAAAAAAAAAAAAHwEAAF9yZWxzLy5yZWxzUEsBAi0AFAAG AAgAAAAhAK4TAcjRAAAA7AAAAA8AAAAAAAAAAAAAAAAABwIAAGRycy9kb3ducmV2LnhtbFBL BQYAAAAAAwADALcAAAAFAwAAAAAAAA/wEAAAAOEAAAD8CAAAnxUAAPwIAAAPAATwQAQAAEIB CvAIAAAAJjAAAAIKAABzAAvwKgAAAL8ABAAEAH8BAAABAL8BAAAQAMABAAAACMsBnDEAAP8B GAAYAL8DAAACACMAIvHeAwAA/wEAAEAAqcPSAwAAUEsDBBQABgAIAAAAIQDb4fbL7gAAAIUB AAATAAAAW0NvbnRlbnRfVHlwZXNdLnhtbHyQz07DMAyH70i8Q+QralM4IITa7kDhCAiNB7AS t43WOlEcyvb2pNu4IODoPz9/n1xv9vOkForiPDdwXVagiI23jocG3rdPxR0oScgWJ8/UwIEE Nu3lRb09BBKV0ywNjCmFe63FjDSjlD4Q50nv44wpl3HQAc0OB9I3VXWrjedEnIq03oC27qjH jympx31un0wiTQLq4bS4shrAECZnMGVTvbD9QSnOhDInjzsyuiBXWQP0r4R18jfgnHvJr4nO knrFmJ5xzhraRtHWf3Kkpfz/yGo5S+H73hkquyhdjr3R8m2lj09svwAAAP//AwBQSwMEFAAG AAgAAAAhAFr0LFu/AAAAFQEAAAsAAABfcmVscy8ucmVsc2zPwWrDMAwG4Ptg72B0X5TuUMaI 01uh19I+gLGVxCy2jGSy9e1nemrHjpL4P0nD4SetZiPRyNnCruvBUPYcYp4tXC/Htw8wWl0O buVMFm6kcBhfX4Yzra62kC6xqGlKVgtLreUTUf1CyWnHhXKbTCzJ1VbKjMX5LzcTvvf9HuXR gPHJNKdgQU5hB+ZyK23zHztFL6w81c5zQp6m6P9TMfB3PtPWFCczVQtB9N4U2rp2HOA44NMz 4y8AAAD//wMAUEsDBBQABgAIAAAAIQCuEwHI0QAAAOwAAAAPAAAAZHJzL2Rvd25yZXYueG1s RI9BawIxEIXvQv9DmEJvmm2hKlujbAvFXnpYFam36WbcLN1MliR1V399QxE8zsyb9963WA22 FSfyoXGs4HGSgSCunG64VrDbvo/nIEJE1tg6JgVnCrBa3o0WmGvXc0mnTaxFMuGQowITY5dL GSpDFsPEdcTpdnTeYkyjr6X22Cdz28qnLJtKiw2nBIMdvRmqfja/VsHnuji8XnRfbsu9kc+z Xb0/fBVKPdwPxQuISEO8ia/fH1pBKn9cn799o0sMkfz/JsElMJDLPwAAAP//AwBQSwECLQAU AAYACAAAACEA2+H2y+4AAACFAQAAEwAAAAAAAAAAAAAAAAAAAAAAW0NvbnRlbnRfVHlwZXNd LnhtbFBLAQItABQABgAIAAAAIQBa9CxbvwAAABUBAAALAAAAAAAAAAAAAAAAAB8BAABfcmVs cy8ucmVsc1BLAQItABQABgAIAAAAIQCuEwHI0QAAAOwAAAAPAAAAAAAAAAAAAAAAAAcCAABk cnMvZG93bnJldi54bWxQSwUGAAAAAAMAAwC3AAAABQMAAAAAAAAP8BAAAADhAAAA7gkAAJ8V AADuCQAADwAE8EAEAABCAQrwCAAAACcwAAACCgAAcwAL8CoAAAC/AAQABAB/AQAAAQC/AQAA EADAAQAAAAjLAZwxAAD/ARgAGAC/AwAAAgAjACLx3gMAAP8BAABAAKnD0gMAAFBLAwQUAAYA CAAAACEA2+H2y+4AAACFAQAAEwAAAFtDb250ZW50X1R5cGVzXS54bWx8kM9OwzAMh+9IvEPk K2pTOCCE2u5A4QgIjQewEreN1jpRHMr29qTbuCDg6D8/f59cb/bzpBaK4jw3cF1WoIiNt46H Bt63T8UdKEnIFifP1MCBBDbt5UW9PQQSldMsDYwphXutxYw0o5Q+EOdJ7+OMKZdx0AHNDgfS N1V1q43nRJyKtN6Atu6ox48pqcd9bp9MIk0C6uG0uLIawBAmZzBlU72w/UEpzoQyJ487Mrog V1kD9K+EdfI34Jx7ya+JzpJ6xZiecc4a2kbR1n9ypKX8/8hqOUvh+94ZKrsoXY690fJtpY9P bL8AAAD//wMAUEsDBBQABgAIAAAAIQBa9CxbvwAAABUBAAALAAAAX3JlbHMvLnJlbHNsz8Fq wzAMBuD7YO9gdF+U7lDGiNNbodfSPoCxlcQstoxksvXtZ3pqx46S+D9Jw+EnrWYj0cjZwq7r wVD2HGKeLVwvx7cPMFpdDm7lTBZupHAYX1+GM62utpAusahpSlYLS63lE1H9Qslpx4Vym0ws ydVWyozF+S83E773/R7l0YDxyTSnYEFOYQfmcitt8x87RS+sPNXOc0Kepuj/UzHwdz7T1hQn M1ULQfTeFNq6dhzgOODTM+MvAAAA//8DAFBLAwQUAAYACAAAACEArhMByNEAAADsAAAADwAA AGRycy9kb3ducmV2LnhtbESPQWsCMRCF70L/Q5hCb5ptoSpbo2wLxV56WBWpt+lm3CzdTJYk dVd/fUMRPM7Mm/fet1gNthUn8qFxrOBxkoEgrpxuuFaw276P5yBCRNbYOiYFZwqwWt6NFphr 13NJp02sRTLhkKMCE2OXSxkqQxbDxHXE6XZ03mJMo6+l9tgnc9vKpyybSosNpwSDHb0Zqn42 v1bB57o4vF50X27LvZHPs129P3wVSj3cD8ULiEhDvImv3x9aQSp/XJ+/faNLDJH8/ybBJTCQ yz8AAAD//wMAUEsBAi0AFAAGAAgAAAAhANvh9svuAAAAhQEAABMAAAAAAAAAAAAAAAAAAAAA AFtDb250ZW50X1R5cGVzXS54bWxQSwECLQAUAAYACAAAACEAWvQsW78AAAAVAQAACwAAAAAA AAAAAAAAAAAfAQAAX3JlbHMvLnJlbHNQSwECLQAUAAYACAAAACEArhMByNEAAADsAAAADwAA AAAAAAAAAAAAAAAHAgAAZHJzL2Rvd25yZXYueG1sUEsFBgAAAAADAAMAtwAAAAUDAAAAAAAA D/AQAAAA4QAAAAkLAACfFQAACQsAAA8ABPBABAAAQgEK8AgAAAAoMAAAAgoAAHMAC/AqAAAA vwAEAAQAfwEAAAEAvwEAABAAwAEAAAAIywGcMQAA/wEYABgAvwMAAAIAIwAi8d4DAAD/AQAA QACpw9IDAABQSwMEFAAGAAgAAAAhANvh9svuAAAAhQEAABMAAABbQ29udGVudF9UeXBlc10u eG1sfJDPTsMwDIfvSLxD5CtqUzgghNruQOEICI0HsBK3jdY6URzK9vak27gg4Og/P3+fXG/2 86QWiuI8N3BdVqCIjbeOhwbet0/FHShJyBYnz9TAgQQ27eVFvT0EEpXTLA2MKYV7rcWMNKOU PhDnSe/jjCmXcdABzQ4H0jdVdauN50ScirTegLbuqMePKanHfW6fTCJNAurhtLiyGsAQJmcw ZVO9sP1BKc6EMiePOzK6IFdZA/SvhHXyN+Cce8mvic6SesWYnnHOGtpG0dZ/cqSl/P/IajlL 4fveGSq7KF2OvdHybaWPT2y/AAAA//8DAFBLAwQUAAYACAAAACEAWvQsW78AAAAVAQAACwAA AF9yZWxzLy5yZWxzbM/BasMwDAbg+2DvYHRflO5QxojTW6HX0j6AsZXELLaMZLL17Wd6aseO kvg/ScPhJ61mI9HI2cKu68FQ9hxini1cL8e3DzBaXQ5u5UwWbqRwGF9fhjOtrraQLrGoaUpW C0ut5RNR/ULJaceFcptMLMnVVsqMxfkvNxO+9/0e5dGA8ck0p2BBTmEH5nIrbfMfO0UvrDzV znNCnqbo/1Mx8Hc+09YUJzNVC0H03hTaunYc4Djg0zPjLwAAAP//AwBQSwMEFAAGAAgAAAAh AK4TAcjRAAAA7AAAAA8AAABkcnMvZG93bnJldi54bWxEj0FrAjEQhe9C/0OYQm+abaEqW6Ns C8VeelgVqbfpZtws3UyWJHVXf31DETzOzJv33rdYDbYVJ/KhcazgcZKBIK6cbrhWsNu+j+cg QkTW2DomBWcKsFrejRaYa9dzSadNrEUy4ZCjAhNjl0sZKkMWw8R1xOl2dN5iTKOvpfbYJ3Pb yqcsm0qLDacEgx29Gap+Nr9Wwee6OLxedF9uy72Rz7NdvT98FUo93A/FC4hIQ7yJr98fWkEq f1yfv32jSwyR/P8mwSUwkMs/AAAA//8DAFBLAQItABQABgAIAAAAIQDb4fbL7gAAAIUBAAAT AAAAAAAAAAAAAAAAAAAAAABbQ29udGVudF9UeXBlc10ueG1sUEsBAi0AFAAGAAgAAAAhAFr0 LFu/AAAAFQEAAAsAAAAAAAAAAAAAAAAAHwEAAF9yZWxzLy5yZWxzUEsBAi0AFAAGAAgAAAAh AK4TAcjRAAAA7AAAAA8AAAAAAAAAAAAAAAAABwIAAGRycy9kb3ducmV2LnhtbFBLBQYAAAAA AwADALcAAAAFAwAAAAAAAA/wEAAAAOEAAAD7CwAAnxUAAPsLAAAPAATwQAQAAEIBCvAIAAAA KTAAAAIKAABzAAvwKgAAAL8ABAAEAH8BAAABAL8BAAAQAMABAAAACMsBnDEAAP8BGAAYAL8D AAACACMAIvHeAwAA/wEAAEAAqcPSAwAAUEsDBBQABgAIAAAAIQDb4fbL7gAAAIUBAAATAAAA W0NvbnRlbnRfVHlwZXNdLnhtbHyQz07DMAyH70i8Q+QralM4IITa7kDhCAiNB7ASt43WOlEc yvb2pNu4IODoPz9/n1xv9vOkForiPDdwXVagiI23jocG3rdPxR0oScgWJ8/UwIEENu3lRb09 BBKV0ywNjCmFe63FjDSjlD4Q50nv44wpl3HQAc0OB9I3VXWrjedEnIq03oC27qjHjympx31u n0wiTQLq4bS4shrAECZnMGVTvbD9QSnOhDInjzsyuiBXWQP0r4R18jfgnHvJr4nOknrFmJ5x zhraRtHWf3Kkpfz/yGo5S+H73hkquyhdjr3R8m2lj09svwAAAP//AwBQSwMEFAAGAAgAAAAh AFr0LFu/AAAAFQEAAAsAAABfcmVscy8ucmVsc2zPwWrDMAwG4Ptg72B0X5TuUMaI01uh19I+ gLGVxCy2jGSy9e1nemrHjpL4P0nD4SetZiPRyNnCruvBUPYcYp4tXC/Htw8wWl0ObuVMFm6k cBhfX4Yzra62kC6xqGlKVgtLreUTUf1CyWnHhXKbTCzJ1VbKjMX5LzcTvvf9HuXRgPHJNKdg QU5hB+ZyK23zHztFL6w81c5zQp6m6P9TMfB3PtPWFCczVQtB9N4U2rp2HOA44NMz4y8AAAD/ /wMAUEsDBBQABgAIAAAAIQCuEwHI0QAAAOwAAAAPAAAAZHJzL2Rvd25yZXYueG1sRI9BawIx EIXvQv9DmEJvmm2hKlujbAvFXnpYFam36WbcLN1MliR1V399QxE8zsyb9963WA22FSfyoXGs 4HGSgSCunG64VrDbvo/nIEJE1tg6JgVnCrBa3o0WmGvXc0mnTaxFMuGQowITY5dLGSpDFsPE dcTpdnTeYkyjr6X22Cdz28qnLJtKiw2nBIMdvRmqfja/VsHnuji8XnRfbsu9kc+zXb0/fBVK PdwPxQuISEO8ia/fH1pBKn9cn799o0sMkfz/JsElMJDLPwAAAP//AwBQSwECLQAUAAYACAAA ACEA2+H2y+4AAACFAQAAEwAAAAAAAAAAAAAAAAAAAAAAW0NvbnRlbnRfVHlwZXNdLnhtbFBL AQItABQABgAIAAAAIQBa9CxbvwAAABUBAAALAAAAAAAAAAAAAAAAAB8BAABfcmVscy8ucmVs c1BLAQItABQABgAIAAAAIQCuEwHI0QAAAOwAAAAPAAAAAAAAAAAAAAAAAAcCAABkcnMvZG93 bnJldi54bWxQSwUGAAAAAAMAAwC3AAAABQMAAAAAAAAP8BAAAADhAAAA4gwAAJ8VAADiDAAA DwAE8EAEAABCAQrwCAAAACowAAACCgAAcwAL8CoAAAC/AAQABAB/AQAAAQC/AQAAEADAAQAA AAjLAZwxAAD/ARgAGAC/AwAAAgAjACLx3gMAAP8BAABAAKnD0gMAAFBLAwQUAAYACAAAACEA 2+H2y+4AAACFAQAAEwAAAFtDb250ZW50X1R5cGVzXS54bWx8kM9OwzAMh+9IvEPkK2pTOCCE 2u5A4QgIjQewEreN1jpRHMr29qTbuCDg6D8/f59cb/bzpBaK4jw3cF1WoIiNt46HBt63T8Ud KEnIFifP1MCBBDbt5UW9PQQSldMsDYwphXutxYw0o5Q+EOdJ7+OMKZdx0AHNDgfSN1V1q43n RJyKtN6Atu6ox48pqcd9bp9MIk0C6uG0uLIawBAmZzBlU72w/UEpzoQyJ487MrogV1kD9K+E dfI34Jx7ya+JzpJ6xZiecc4a2kbR1n9ypKX8/8hqOUvh+94ZKrsoXY690fJtpY9PbL8AAAD/ /wMAUEsDBBQABgAIAAAAIQBa9CxbvwAAABUBAAALAAAAX3JlbHMvLnJlbHNsz8FqwzAMBuD7 YO9gdF+U7lDGiNNbodfSPoCxlcQstoxksvXtZ3pqx46S+D9Jw+EnrWYj0cjZwq7rwVD2HGKe LVwvx7cPMFpdDm7lTBZupHAYX1+GM62utpAusahpSlYLS63lE1H9Qslpx4Vym0wsydVWyozF +S83E773/R7l0YDxyTSnYEFOYQfmcitt8x87RS+sPNXOc0Kepuj/UzHwdz7T1hQnM1ULQfTe FNq6dhzgOODTM+MvAAAA//8DAFBLAwQUAAYACAAAACEArhMByNEAAADsAAAADwAAAGRycy9k b3ducmV2LnhtbESPQWsCMRCF70L/Q5hCb5ptoSpbo2wLxV56WBWpt+lm3CzdTJYkdVd/fUMR PM7Mm/fet1gNthUn8qFxrOBxkoEgrpxuuFaw276P5yBCRNbYOiYFZwqwWt6NFphr13NJp02s RTLhkKMCE2OXSxkqQxbDxHXE6XZ03mJMo6+l9tgnc9vKpyybSosNpwSDHb0Zqn42v1bB57o4 vF50X27LvZHPs129P3wVSj3cD8ULiEhDvImv3x9aQSp/XJ+/faNLDJH8/ybBJTCQyz8AAAD/ /wMAUEsBAi0AFAAGAAgAAAAhANvh9svuAAAAhQEAABMAAAAAAAAAAAAAAAAAAAAAAFtDb250 ZW50X1R5cGVzXS54bWxQSwECLQAUAAYACAAAACEAWvQsW78AAAAVAQAACwAAAAAAAAAAAAAA AAAfAQAAX3JlbHMvLnJlbHNQSwECLQAUAAYACAAAACEArhMByNEAAADsAAAADwAAAAAAAAAA AAAAAAAHAgAAZHJzL2Rvd25yZXYueG1sUEsFBgAAAAADAAMAtwAAAAUDAAAAAAAAD/AQAAAA 4QAAANMNAACfFQAA0w0AAA8ABPBABAAAQgEK8AgAAAArMAAAAgoAAHMAC/AqAAAAvwAEAAQA fwEAAAEAvwEAABAAwAEAAAAIywGcMQAA/wEYABgAvwMAAAIAIwAi8d4DAAD/AQAAQACpw9ID AABQSwMEFAAGAAgAAAAhANvh9svuAAAAhQEAABMAAABbQ29udGVudF9UeXBlc10ueG1sfJDP TsMwDIfvSLxD5CtqUzgghNruQOEICI0HsBK3jdY6URzK9vak27gg4Og/P3+fXG/286QWiuI8 N3BdVqCIjbeOhwbet0/FHShJyBYnz9TAgQQ27eVFvT0EEpXTLA2MKYV7rcWMNKOUPhDnSe/j jCmXcdABzQ4H0jdVdauN50ScirTegLbuqMePKanHfW6fTCJNAurhtLiyGsAQJmcwZVO9sP1B Kc6EMiePOzK6IFdZA/SvhHXyN+Cce8mvic6SesWYnnHOGtpG0dZ/cqSl/P/IajlL4fveGSq7 KF2OvdHybaWPT2y/AAAA//8DAFBLAwQUAAYACAAAACEAWvQsW78AAAAVAQAACwAAAF9yZWxz Ly5yZWxzbM/BasMwDAbg+2DvYHRflO5QxojTW6HX0j6AsZXELLaMZLL17Wd6aseOkvg/ScPh J61mI9HI2cKu68FQ9hxini1cL8e3DzBaXQ5u5UwWbqRwGF9fhjOtrraQLrGoaUpWC0ut5RNR /ULJaceFcptMLMnVVsqMxfkvNxO+9/0e5dGA8ck0p2BBTmEH5nIrbfMfO0UvrDzVznNCnqbo /1Mx8Hc+09YUJzNVC0H03hTaunYc4Djg0zPjLwAAAP//AwBQSwMEFAAGAAgAAAAhAK4TAcjR AAAA7AAAAA8AAABkcnMvZG93bnJldi54bWxEj0FrAjEQhe9C/0OYQm+abaEqW6NsC8VeelgV qbfpZtws3UyWJHVXf31DETzOzJv33rdYDbYVJ/KhcazgcZKBIK6cbrhWsNu+j+cgQkTW2Dom BWcKsFrejRaYa9dzSadNrEUy4ZCjAhNjl0sZKkMWw8R1xOl2dN5iTKOvpfbYJ3Pbyqcsm0qL DacEgx29Gap+Nr9Wwee6OLxedF9uy72Rz7NdvT98FUo93A/FC4hIQ7yJr98fWkEqf1yfv32j SwyR/P8mwSUwkMs/AAAA//8DAFBLAQItABQABgAIAAAAIQDb4fbL7gAAAIUBAAATAAAAAAAA AAAAAAAAAAAAAABbQ29udGVudF9UeXBlc10ueG1sUEsBAi0AFAAGAAgAAAAhAFr0LFu/AAAA FQEAAAsAAAAAAAAAAAAAAAAAHwEAAF9yZWxzLy5yZWxzUEsBAi0AFAAGAAgAAAAhAK4TAcjR AAAA7AAAAA8AAAAAAAAAAAAAAAAABwIAAGRycy9kb3ducmV2LnhtbFBLBQYAAAAAAwADALcA AAAFAwAAAAAAAA/wEAAAAOEAAAABDwAAnxUAAAEPAAAPAATwQAQAAEIBCvAIAAAALDAAAAIK AABzAAvwKgAAAL8ABAAEAH8BAAABAL8BAAAQAMABAAAACMsBnDEAAP8BGAAYAL8DAAACACMA IvHeAwAA/wEAAEAAqcPSAwAAUEsDBBQABgAIAAAAIQDb4fbL7gAAAIUBAAATAAAAW0NvbnRl bnRfVHlwZXNdLnhtbHyQz07DMAyH70i8Q+QralM4IITa7kDhCAiNB7ASt43WOlEcyvb2pNu4 IODoPz9/n1xv9vOkForiPDdwXVagiI23jocG3rdPxR0oScgWJ8/UwIEENu3lRb09BBKV0ywN jCmFe63FjDSjlD4Q50nv44wpl3HQAc0OB9I3VXWrjedEnIq03oC27qjHjympx31un0wiTQLq 4bS4shrAECZnMGVTvbD9QSnOhDInjzsyuiBXWQP0r4R18jfgnHvJr4nOknrFmJ5xzhraRtHW f3Kkpfz/yGo5S+H73hkquyhdjr3R8m2lj09svwAAAP//AwBQSwMEFAAGAAgAAAAhAFr0LFu/ AAAAFQEAAAsAAABfcmVscy8ucmVsc2zPwWrDMAwG4Ptg72B0X5TuUMaI01uh19I+gLGVxCy2 jGSy9e1nemrHjpL4P0nD4SetZiPRyNnCruvBUPYcYp4tXC/Htw8wWl0ObuVMFm6kcBhfX4Yz ra62kC6xqGlKVgtLreUTUf1CyWnHhXKbTCzJ1VbKjMX5LzcTvvf9HuXRgPHJNKdgQU5hB+Zy K23zHztFL6w81c5zQp6m6P9TMfB3PtPWFCczVQtB9N4U2rp2HOA44NMz4y8AAAD//wMAUEsD BBQABgAIAAAAIQCuEwHI0QAAAOwAAAAPAAAAZHJzL2Rvd25yZXYueG1sRI9BawIxEIXvQv9D mEJvmm2hKlujbAvFXnpYFam36WbcLN1MliR1V399QxE8zsyb9963WA22FSfyoXGs4HGSgSCu nG64VrDbvo/nIEJE1tg6JgVnCrBa3o0WmGvXc0mnTaxFMuGQowITY5dLGSpDFsPEdcTpdnTe Ykyjr6X22Cdz28qnLJtKiw2nBIMdvRmqfja/VsHnuji8XnRfbsu9kc+zXb0/fBVKPdwPxQuI SEO8ia/fH1pBKn9cn799o0sMkfz/JsElMJDLPwAAAP//AwBQSwECLQAUAAYACAAAACEA2+H2 y+4AAACFAQAAEwAAAAAAAAAAAAAAAAAAAAAAW0NvbnRlbnRfVHlwZXNdLnhtbFBLAQItABQA BgAIAAAAIQBa9CxbvwAAABUBAAALAAAAAAAAAAAAAAAAAB8BAABfcmVscy8ucmVsc1BLAQIt ABQABgAIAAAAIQCuEwHI0QAAAOwAAAAPAAAAAAAAAAAAAAAAAAcCAABkcnMvZG93bnJldi54 bWxQSwUGAAAAAAMAAwC3AAAABQMAAAAAAAAP8BAAAADhAAAAKgMAAOEAAABaEAAADwAE8EAE AABCAQrwCAAAAC0wAAACCgAAcwAL8CoAAAC/AAQABAB/AQAAAQC/AQAAEADAAQAAAAjLAZwx AAD/ARgAGAC/AwAAAgAjACLx3gMAAP8BAABAAKnD0gMAAFBLAwQUAAYACAAAACEA2+H2y+4A AACFAQAAEwAAAFtDb250ZW50X1R5cGVzXS54bWx8kM9OwzAMh+9IvEPkK2pTOCCE2u5A4QgI jQewEreN1jpRHMr29qTbuCDg6D8/f59cb/bzpBaK4jw3cF1WoIiNt46HBt63T8UdKEnIFifP 1MCBBDbt5UW9PQQSldMsDYwphXutxYw0o5Q+EOdJ7+OMKZdx0AHNDgfSN1V1q43nRJyKtN6A tu6ox48pqcd9bp9MIk0C6uG0uLIawBAmZzBlU72w/UEpzoQyJ487MrogV1kD9K+EdfI34Jx7 ya+JzpJ6xZiecc4a2kbR1n9ypKX8/8hqOUvh+94ZKrsoXY690fJtpY9PbL8AAAD//wMAUEsD BBQABgAIAAAAIQBa9CxbvwAAABUBAAALAAAAX3JlbHMvLnJlbHNsz8FqwzAMBuD7YO9gdF+U 7lDGiNNbodfSPoCxlcQstoxksvXtZ3pqx46S+D9Jw+EnrWYj0cjZwq7rwVD2HGKeLVwvx7cP MFpdDm7lTBZupHAYX1+GM62utpAusahpSlYLS63lE1H9Qslpx4Vym0wsydVWyozF+S83E773 /R7l0YDxyTSnYEFOYQfmcitt8x87RS+sPNXOc0Kepuj/UzHwdz7T1hQnM1ULQfTeFNq6dhzg OODTM+MvAAAA//8DAFBLAwQUAAYACAAAACEArhMByNEAAADsAAAADwAAAGRycy9kb3ducmV2 LnhtbESPQWsCMRCF70L/Q5hCb5ptoSpbo2wLxV56WBWpt+lm3CzdTJYkdVd/fUMRPM7Mm/fe t1gNthUn8qFxrOBxkoEgrpxuuFaw276P5yBCRNbYOiYFZwqwWt6NFphr13NJp02sRTLhkKMC E2OXSxkqQxbDxHXE6XZ03mJMo6+l9tgnc9vKpyybSosNpwSDHb0Zqn42v1bB57o4vF50X27L vZHPs129P3wVSj3cD8ULiEhDvImv3x9aQSp/XJ+/faNLDJH8/ybBJTCQyz8AAAD//wMAUEsB Ai0AFAAGAAgAAAAhANvh9svuAAAAhQEAABMAAAAAAAAAAAAAAAAAAAAAAFtDb250ZW50X1R5 cGVzXS54bWxQSwECLQAUAAYACAAAACEAWvQsW78AAAAVAQAACwAAAAAAAAAAAAAAAAAfAQAA X3JlbHMvLnJlbHNQSwECLQAUAAYACAAAACEArhMByNEAAADsAAAADwAAAAAAAAAAAAAAAAAH AgAAZHJzL2Rvd25yZXYueG1sUEsFBgAAAAADAAMAtwAAAAUDAAAAAAAAD/AQAAAAnxUAACoD AACfFQAAWhAAAA8ABPBABAAAQgEK8AgAAAAuMAAAAgoAAHMAC/AqAAAAvwAEAAQAfwEAAAEA vwEAABAAwAEAAAAIywGcMQAA/wEYABgAvwMAAAIAIwAi8d4DAAD/AQAAQACpw9IDAABQSwME FAAGAAgAAAAhANvh9svuAAAAhQEAABMAAABbQ29udGVudF9UeXBlc10ueG1sfJDPTsMwDIfv SLxD5CtqUzgghNruQOEICI0HsBK3jdY6URzK9vak27gg4Og/P3+fXG/286QWiuI8N3BdVqCI jbeOhwbet0/FHShJyBYnz9TAgQQ27eVFvT0EEpXTLA2MKYV7rcWMNKOUPhDnSe/jjCmXcdAB zQ4H0jdVdauN50ScirTegLbuqMePKanHfW6fTCJNAurhtLiyGsAQJmcwZVO9sP1BKc6EMieP OzK6IFdZA/SvhHXyN+Cce8mvic6SesWYnnHOGtpG0dZ/cqSl/P/IajlL4fveGSq7KF2OvdHy baWPT2y/AAAA//8DAFBLAwQUAAYACAAAACEAWvQsW78AAAAVAQAACwAAAF9yZWxzLy5yZWxz bM/BasMwDAbg+2DvYHRflO5QxojTW6HX0j6AsZXELLaMZLL17Wd6aseOkvg/ScPhJ61mI9HI 2cKu68FQ9hxini1cL8e3DzBaXQ5u5UwWbqRwGF9fhjOtrraQLrGoaUpWC0ut5RNR/ULJaceF cptMLMnVVsqMxfkvNxO+9/0e5dGA8ck0p2BBTmEH5nIrbfMfO0UvrDzVznNCnqbo/1Mx8Hc+ 09YUJzNVC0H03hTaunYc4Djg0zPjLwAAAP//AwBQSwMEFAAGAAgAAAAhAK4TAcjRAAAA7AAA AA8AAABkcnMvZG93bnJldi54bWxEj0FrAjEQhe9C/0OYQm+abaEqW6NsC8VeelgVqbfpZtws 3UyWJHVXf31DETzOzJv33rdYDbYVJ/KhcazgcZKBIK6cbrhWsNu+j+cgQkTW2DomBWcKsFre jRaYa9dzSadNrEUy4ZCjAhNjl0sZKkMWw8R1xOl2dN5iTKOvpfbYJ3Pbyqcsm0qLDacEgx29 Gap+Nr9Wwee6OLxedF9uy72Rz7NdvT98FUo93A/FC4hIQ7yJr98fWkEqf1yfv32jSwyR/P8m wSUwkMs/AAAA//8DAFBLAQItABQABgAIAAAAIQDb4fbL7gAAAIUBAAATAAAAAAAAAAAAAAAA AAAAAABbQ29udGVudF9UeXBlc10ueG1sUEsBAi0AFAAGAAgAAAAhAFr0LFu/AAAAFQEAAAsA AAAAAAAAAAAAAAAAHwEAAF9yZWxzLy5yZWxzUEsBAi0AFAAGAAgAAAAhAK4TAcjRAAAA7AAA AA8AAAAAAAAAAAAAAAAABwIAAGRycy9kb3ducmV2LnhtbFBLBQYAAAAAAwADALcAAAAFAwAA AAAAAA/wEAAAAOEAAAAqAwAAnxUAACoDAAAPAATwQAQAAEIBCvAIAAAALzAAAAIKAABzAAvw KgAAAL8ABAAEAH8BAAABAL8BAAAQAMABAAAACMsBnDEAAP8BGAAYAL8DAAACACMAIvHeAwAA /wEAAEAAqcPSAwAAUEsDBBQABgAIAAAAIQDb4fbL7gAAAIUBAAATAAAAW0NvbnRlbnRfVHlw ZXNdLnhtbHyQz07DMAyH70i8Q+QralM4IITa7kDhCAiNB7ASt43WOlEcyvb2pNu4IODoPz9/ n1xv9vOkForiPDdwXVagiI23jocG3rdPxR0oScgWJ8/UwIEENu3lRb09BBKV0ywNjCmFe63F jDSjlD4Q50nv44wpl3HQAc0OB9I3VXWrjedEnIq03oC27qjHjympx31un0wiTQLq4bS4shrA ECZnMGVTvbD9QSnOhDInjzsyuiBXWQP0r4R18jfgnHvJr4nOknrFmJ5xzhraRtHWf3Kkpfz/ yGo5S+H73hkquyhdjr3R8m2lj09svwAAAP//AwBQSwMEFAAGAAgAAAAhAFr0LFu/AAAAFQEA AAsAAABfcmVscy8ucmVsc2zPwWrDMAwG4Ptg72B0X5TuUMaI01uh19I+gLGVxCy2jGSy9e1n emrHjpL4P0nD4SetZiPRyNnCruvBUPYcYp4tXC/Htw8wWl0ObuVMFm6kcBhfX4Yzra62kC6x qGlKVgtLreUTUf1CyWnHhXKbTCzJ1VbKjMX5LzcTvvf9HuXRgPHJNKdgQU5hB+ZyK23zHztF L6w81c5zQp6m6P9TMfB3PtPWFCczVQtB9N4U2rp2HOA44NMz4y8AAAD//wMAUEsDBBQABgAI AAAAIQCuEwHI0QAAAOwAAAAPAAAAZHJzL2Rvd25yZXYueG1sRI9BawIxEIXvQv9DmEJvmm2h KlujbAvFXnpYFam36WbcLN1MliR1V399QxE8zsyb9963WA22FSfyoXGs4HGSgSCunG64VrDb vo/nIEJE1tg6JgVnCrBa3o0WmGvXc0mnTaxFMuGQowITY5dLGSpDFsPEdcTpdnTeYkyjr6X2 2Cdz28qnLJtKiw2nBIMdvRmqfja/VsHnuji8XnRfbsu9kc+zXb0/fBVKPdwPxQuISEO8ia/f H1pBKn9cn799o0sMkfz/JsElMJDLPwAAAP//AwBQSwECLQAUAAYACAAAACEA2+H2y+4AAACF AQAAEwAAAAAAAAAAAAAAAAAAAAAAW0NvbnRlbnRfVHlwZXNdLnhtbFBLAQItABQABgAIAAAA IQBa9CxbvwAAABUBAAALAAAAAAAAAAAAAAAAAB8BAABfcmVscy8ucmVsc1BLAQItABQABgAI AAAAIQCuEwHI0QAAAOwAAAAPAAAAAAAAAAAAAAAAAAcCAABkcnMvZG93bnJldi54bWxQSwUG AAAAAAMAAwC3AAAABQMAAAAAAAAP8BAAAADhAAAAWhAAAJ8VAABaEAAAEADwByAAAAD///8A AAAAAO7s4QAfSX0AT4G9AMBQTQAAAP8AgACAAA8AiBM4AAAADwCKEzAAAAAAALoPEAAAAF8A XwBfAFAAUABUADEAMAAAAIsTEAAAAAAA6y4IAAAAMmvHATBzmXAAACIECAAAAAEAAAACAAAA DwDuA5gQAAACAO8DGAAAABAAAAAAAAAAAAAAAAAAAIAAAAAABwAAAA8ADAT4DwAADwAC8PAP AACAAQjwCAAAAAMAAAADNAAADwAD8NgPAAAPAATwKAAAAAEACfAQAAAAAAAAAAAAAAAAAAAA AAAAAAIACvAIAAAAADQAAAUAAAAPAATwGgEAABIACvAIAAAAAjQAACACAAADAQvwcAAAAAQA AAAAAH8AAQDvAYAAYGNCBYEAMGUBAIIAmLIAAIMAMGUBAIQAmLIAAIUAAAAAAIcAAQAAAIgA AAAAAL8ABAAEAP8BEAARAAEDAgQAAD8DAAAIAIDDEAAAAL8DAAACAFQAaQB0AGwAZQAgADEA AAAAABDwCAAAAK0AIAFgFX0DDwAR8BwAAAAAAMMLCAAAAP////8NADFpAAAfBAQAAAACAAAA DwAN8FYAAAAAAJ8PBAAAAAAAAAAAAKgPEAAAAFNjb3BlOiBTZWNvbmRhcnkAAKEPFAAAABEA AAAAAAAACgAHABEAAAAAAAAAAACqDw4AAAARAAAABwAAAAAABwwAAA8ABPB+DgAAEgAK8AgA AAADNAAAIAIAABMBC/CSAAAABAAAAAAAfwABAO8BgABAYkIFgQAwZQEAggCYsgAAgwAwZQEA hACYsgAAhQAAAAAAhwAAAAAAiAAAAAAAvwAEAAQAvwEBAAEA/wEQABEAAQMDBAAAPwMAAAgA gMMsAAAAvwMAAAIAQwBvAG4AdABlAG4AdAAgAFAAbABhAGMAZQBoAG8AbABkAGUAcgAgADIA AAATACLxxgoAAKnDwAoAAFBLAwQUAAYACAAAACEAWuMRZv4AAADiAQAAEwAAAFtDb250ZW50 X1R5cGVzXS54bWyUkU1PxCAQhu8m/gcyV9NSPRhjSvdg9ahG1x8wgWlLtgXCYN3999L9uBjX xCPMvM/7BOrVdhrFTJGtdwquywoEOe2Ndb2Cj/VTcQeCEzqDo3ekYEcMq+byol7vArHIaccK hpTCvZSsB5qQSx/I5Unn44QpH2MvA+oN9iRvqupWau8SuVSkhQFN3VKHn2MSj9t8fTCJNDKI h8Pi0qUAQxitxpRN5ezMj5bi2FDm5H6HBxv4KmuA/LVhmZwvOOZe8tNEa0i8YkzPOGUNaSJL 479cpLn8G7JYTlz4rrOayjZym2NvNJ+sztF5wEAZ/V/8+5I7weX+h5pvAAAA//8DAFBLAwQU AAYACAAAACEAMd1fYdIAAACPAQAACwAAAF9yZWxzLy5yZWxzpJDBasMwDIbvg72D0b1x2kMZ o05vhV5LB7sKW0lMY8tYJm3fvqYwWEZvO+oX+j7x7/a3MKmZsniOBtZNC4qiZefjYODrfFh9 gJKC0eHEkQzcSWDfvb/tTjRhqUcy+iSqUqIYGEtJn1qLHSmgNJwo1k3POWCpYx50QnvBgfSm bbc6/2ZAt2CqozOQj24D6nxP1fyHHbzNLNyXxnLQ3PfevqJqx9d4orlSMA9UDLgszzDT3NTn QL/2rv/plRETfVf+QvxMq/XHrBc1dg8AAAD//wMAUEsDBBQABgAIAAAAIQBXkS8nWwYAABYm AAAQAAAAZHJzL3NoYXBleG1sLnhtbOxXwW4bNxC9F+g/ELwWjmRFii3B60AW4LaAEAiWghyD 0S5lbcUltyRXkXzKP/QP+mn9kr7h7iqyeylqI2ha6bAakjPDmTfzyN2rt7tCi61yPrcmkeev ulIok9osN/eJfL+4PbuUwgcyGWlrVCL3ysu3199/d1WOfClgbPyoTOQ6hHLU6fh0rQryr2yp DNZW1hUUMHT3ndIpr0yggI0K3el1u286BeVGXsOV2c7LmWMpfbedOZFniXwthaECW06sCbAU M02pWludKSd6stNo14aEaKY23fgmJPo7IWWOPiHPR9EIY390SOicN+jEeNrQDCLjTcs14tsl st8b9odvLnrDQaNbK8DoSzoeacVIw+7GZvvrKxot8Y8Ua+j+eZyoWUCS1j1I8ckRQva/VuSU FPpn4xM5PO/3UcwQB/3BRQ8Dd7yyPF4xVTGxmtMWLugoQp9Mig0SGVpxEjDCQmqLksLUzMuU bTit0vmw2H0gVwoWYaR24Z2dr6lUUYG2Ux8Y1GNdtjToknEV7CoPYoVaz1PSKPuwN+hiK82b 3KmsSrlzsFsXvwh4CyX70D7Mw16r58KK+BDec71EJ6hxQW6KRkajcCYY3UX09BZIYyI3Gfo6 kWetBul7ZKilyNRqQcv5Q1NG6KIq0UbR1Ny4TawUgzWOJgT4ABXIZZplmKzJ3KO9Z5VJsUld pYgmh+fLdJYGsSUuOkPaYnqscaNWT3XB24MqfHzRGK9Cqxt87bd1Cb1mdVlNtFvsIsrLav5w EG+Rigj7Uq3A8USOXU6AocxDur6lItd7hhF9tybnFbKJrtEA1QQzcTqRf3z+nfuCRoGWdavR CEDeRQZy1zF9aVQ/UJ1NVeSF/SWvawKwEpmps/ECBx6Af41MpVjWhYrPKpEGZyCfhy7fIEpj 51GSYqMct2Y0SZmLjSLTA164w0nnD+qnOFySVzrn0zSuzZy1qyhnuQvIFLO+CBOtCE67kTza cOjG3uZa1xyqZ7zVecaTEXs+fRUQruEPu/oQQ7GPtdRqpdLQAlRNTVOEit00cuyko3r8UJgz HWp0FT1ZUFQvpP7JQuobnroa+XAtPvKvfh6kdij4aEAT4YkaccE4qRcm4wXIOADAj8mIY+9A xt7l4II1TmR8Hhl/e0Ey9i5PZDwcji9PRjDwxL3/0kV44t43cRHiKvwavGtfLx/febjiDnde q3G68553551eQL8F3rUvnEcvol/l/mtZduIhf7idPgTF//1DMH4C/pWNov19bAT+Zvz33ZR/ AgAA///sV81u2zAMfhVB1yFzkqZra9QB0gDBDjkYTXcuGFtOtMiSIMld2tPeYW+wR9uTjJLc /F2KbS2wYRYMmxIp2uRn/khmVFBSsuoOlounjF4NRqN+nxLjREbxyWAub8wmowNKKiXdRKxw CzROUSLAcdmyUXQNcsXlKm9k4bz8+BpSIRe68ITVRV448gCodtD3gybj6+RY4oZVp7LDA1HU sZeYVO5Z1tmo91klyrXcZTMV5m6Lb4J02SyeduQMTSHuUbMKCpbRieGAbtDcFesZ1Fw8ZvRs REmxBmMZWhNUex1TXAnLGf3x9bu3AVIHy7l1gURH3uYmWqZz47nxlhuyaWpeq888+FWgszLK ZO/TghKLjj9DSylZBmYUaTIqlWTIdoZv8CulWgSKkg0ziMIgbClA7wR1EfZLZWoQ/Il9DNMl WCa4RA34Bqlyo1QV6JIbh5biqq3dVDBApf0WN//pUs24ENEaIf2KVYKXfjFMijWrGXo4ut9t By2mR1Ksqljhnh3UzGULQuPVtHT4kw7weFfLnnDRuwxOGAwio7AnjMK27zfR825M7v0g/j/D vwXvLyJSst7krkMkfStEAiAISfu8/wVoumCJieytoGkxwUe8AkQt2fL8UiSJH8foYXhpnxY0 2dZC2hQyunZOp0lifaIA+15pJpFX+fTkcGpWSWngCxaNWiSYzD4kNXAZEhAmT1KDmWf0YjS8 OscUhbPbkKvEg68hlHBZMom5uTe8PL/wEhBqU1fOfrecfYt59VXK2fCyK2e79uJVy9k+FA+o ozTaBSJ64LDz3HeNux70r+4ru0D8J/rKfTEMpRJL43Gn2cXh/xCHTJY5GMBj3wsnvK4knpzX /uCEt3d6ONZh35no1G1vVPkYSKvHPwEAAP//AwBQSwMEFAAGAAgAAAAhAHV86q3VAAAA+QAA AA8AAABkcnMvZG93bnJldi54bWxEj01PwzAQRO9I/AdrkbhRhwBVFbqtoBKQE6gtF25LvPmA eB3Zpkn/PRaHchzN6I3ecj3ZXh3Yh84JwvUsA8VSOdNJg/C+f7pagAqRxFDvhBGOHGC9Oj9b UmHcKFs+7GKjEkRCQQhtjEOhdahathRmbmBJXe28pZiib7TxNCa47XWeZXNtqZP00NLAm5ar 792PRdiE+ePeLMq319yM+q6s7VdJz4iXF9PDPajIU/wf337UNh9O5R+qNAg3oOqX46fvzJZC ZI+Q3JJpsgS9+gUAAP//AwBQSwECLQAUAAYACAAAACEAWuMRZv4AAADiAQAAEwAAAAAAAAAA AAAAAAAAAAAAW0NvbnRlbnRfVHlwZXNdLnhtbFBLAQItABQABgAIAAAAIQAx3V9h0gAAAI8B AAALAAAAAAAAAAAAAAAAAC8BAABfcmVscy8ucmVsc1BLAQItABQABgAIAAAAIQBXkS8nWwYA ABYmAAAQAAAAAAAAAAAAAAAAACoCAABkcnMvc2hhcGV4bWwueG1sUEsBAi0AFAAGAAgAAAAh AHV86q3VAAAA+QAAAA8AAAAAAAAAAAAAAAAAswgAAGRycy9kb3ducmV2LnhtbFBLBQYAAAAA BAAEAPUAAAC1CQAAAAAAABDwCAAAAPADIAFgFRMPDwAR8BwAAAAAAMMLCAAAAP////8TADFp AAAfBAQAAAADAAAADwAN8MoCAAAAAJ8PBAAAAAEAAAAAAKAPCgIAAFUAbgBpAHEAdQBlACAA ZQBxAHUAaQBwAG0AZQBuAHQALwBsAGkAbgBlACAAbABvAGMAYQB0AG8AcgAgAA0AUwBjAGgA ZQBtAGEAIABmAG8AcgAgAGkAdAANAFIAZQBnAGkAcwB0AHIAeQAgAA0AQQBsAGEAcgBtACAA dABlAG0AcABsAGEAdABlACAAcgBlAGcAaQBzAHQAcgBpAGUAcwANAFAAcgBvAHQAZQBjAHQA aQBvAG4ALAAgAGYAYQBpAGwAbwB2AGUAcgAgAG0AbwBkAGUAbABpAG4AZwAgACgAMQArADEA LAAgADEAOgBuACwAIAAxADoAMQAsACAAZQB0AGMALgApAA0ARABlAHYAaQBjAGUALwBzAGUA cgB2AGkAYwBlAC8AcAByAG8AdABvAGMAbwBsACAAbQBvAGQAZQBsAHMAIAB0AG8AIABiAGUA IABkAGUAZgBpAG4AZQBkACAAaQBuACAAdABoAGUAIAByAGUAcwBwAGUAYwB0AGkAdgBlACAA YQByAGUAYQBzACAALwAgAFcARwBzAA0ATgBlAGUAZABzACAAbgBhAG0AZQBzAHAAYQBjAGUA LwBtAGUAdABhAG0AbwBkAGUAbAAgAA0ATwB0AGgAZQByAHcAaQBzAGUAIABjAGgAYQBvAHMA IAByAGUAcwB1AGwAdABzACAAJiANAAAAoQ9kAAAAHwAAAAAAABAKAFoABwAYAAAAAQAAEAoA WgAHAJkAAAAAAAAQCgBaAAcANgAAAAEAABAKAFoABwAfAAAAAAACAB4AGAAAAAAAAgAaAJkA AAAABAIAAAQeADYAAAAACAIAAAgaAAAAqg84AAAAhQAAAAcAAAAAAAcMAAAHAAAABwAAAAAA CQQAABAAAAAHAAAAAAAHDAAAagAAAAcAAAAAAAkEAAAQAPAHIAAAAP///wAAAAAA7uzhAB9J fQBPgb0AwFBNAAAA/wCAAIAADwCIEzgAAAAPAIoTMAAAAAAAug8QAAAAXwBfAF8AUABQAFQA MQAwAAAAixMQAAAAAADrLggAAAAua8cBoBwguwAAIgQIAAAAAQAAAAIAAAAPAO4DPQQAAAIA 7wMYAAAAEAAAAAAAAAAAAAAAAAAAgAAAAAAHAAAADwAMBJ0DAAAPAALwlQMAAJABCPAIAAAA AwAAAAM4AAAPAAPwfQMAAA8ABPAoAAAAAQAJ8BAAAAAAAAAAAAAAAAAAAAAAAAAAAgAK8AgA AAAAOAAABQAAAA8ABPAXAQAAEgAK8AgAAAACOAAAIAIAAAMBC/BwAAAABAAAAAAAfwABAO8B gAAgYUIFgQAwZQEAggCYsgAAgwAwZQEAhACYsgAAhQAAAAAAhwABAAAAiAAAAAAAvwAEAAQA /wEQABEAAQMCBAAAPwMAAAgAgMMQAAAAvwMAAAIAVABpAHQAbABlACAAMQAAAAAAEPAIAAAA rQAgAWAVfQMPABHwHAAAAAAAwwsIAAAA/////w0AMWkAAB8EBAAAAAIAAAAPAA3wUwAAAAAA nw8EAAAAAAAAAAAAqA8NAAAATk9UIGluIFNjb3BlIAAAoQ8UAAAADgAAAAAAAAAKAAcADgAA AAAAAAAAAKoPDgAAAA4AAAAHAAAAAAAHDAAADwAE8CYCAAASAArwCAAAAAM4AAAgAgAAEwEL 8JIAAAAEAAAAAAB/AAEA7wGAAABgQgWBADBlAQCCAJiyAACDADBlAQCEAJiyAACFAAAAAACH AAAAAACIAAAAAAC/AAQABAC/AQEAAQD/ARAAEQABAwMEAAA/AwAACACAwywAAAC/AwAAAgBD AG8AbgB0AGUAbgB0ACAAUABsAGEAYwBlAGgAbwBsAGQAZQByACAAMgAAAAAAEPAIAAAA8AMg AWAVEw8PABHwHAAAAAAAwwsIAAAA/////xMAMWkAAB8EBAAAAAMAAAAPAA3wQAEAAAAAnw8E AAAAAQAAAAAAoA/6AAAAQgB1AHMAaQBuAGUAcwBzACAAUwB1AHAAcABvAHIAdAAgAFMAeQBz AHQAZQBtAHMAIAAoAEIAUwBTACkADQBXAG8AcgBrAGYAbABvAHcADQANAFQAcgB5AGkAbgBn ACAAdABvACAAcwBvAGwAdgBlACAAdABoAGUAIAByAGUAbQBhAGkAbgBpAG4AZwAgADIAMAAl ABwgIAB0AG8AIAAxADAAMAAlACAAbwBmACAAbgBlAHQAdwBvAHIAawBzAC8AcwBlAHIAdgBp AGMAZQBzACAAZgByAG8AbQAgAHQAaABlACAAbwBuAHMAZQB0ACAALgAuAC4AIAAgAAAAoQ8U AAAAfgAAAAAAAAAKAAcAfgAAAAAAAAAAAKoPDgAAAH4AAAAHAAAAAAAHDAAAEADwByAAAAD/ //8AAAAAAO7s4QAfSX0AT4G9AMBQTQAAAP8AgACAAA8AiBM4AAAADwCKEzAAAAAAALoPEAAA AF8AXwBfAFAAUABUADEAMAAAAIsTEAAAAAAA6y4IAAAALmvHAWC0Uc0AACIECAAAAAEAAAAC AAAADwDuA2cZAAACAO8DGAAAABAAAAAAAAAAAAAAAAAAAIAAAAAABwAAAA8ADATHGAAADwAC 8L8YAACgAQjwCAAAAAMAAAADPAAADwAD8KcYAAAPAATwKAAAAAEACfAQAAAAAAAAAAAAAAAA AAAAAAAAAAIACvAIAAAAADwAAAUAAAAPAATwnwgAABIACvAIAAAAAjwAACACAAADAQvwcAAA AAQAAAAAAH8AAQDvAYAAQF5CBYEAMGUBAIIAmLIAAIMAMGUBAIQAmLIAAIUAAAAAAIcAAQAA AIgAAAAAAL8ABAAEAP8BEAARAAEDAgQAAD8DAAAIAIDDEAAAAL8DAAACAFQAaQB0AGwAZQAg ADEAAAATACLxaAcAAKnDYgcAAFBLAwQUAAYACAAAACEAWuMRZv4AAADiAQAAEwAAAFtDb250 ZW50X1R5cGVzXS54bWyUkU1PxCAQhu8m/gcyV9NSPRhjSvdg9ahG1x8wgWlLtgXCYN3999L9 uBjXxCPMvM/7BOrVdhrFTJGtdwquywoEOe2Ndb2Cj/VTcQeCEzqDo3ekYEcMq+byol7vArHI accKhpTCvZSsB5qQSx/I5Unn44QpH2MvA+oN9iRvqupWau8SuVSkhQFN3VKHn2MSj9t8fTCJ NDKIh8Pi0qUAQxitxpRN5ezMj5bi2FDm5H6HBxv4KmuA/LVhmZwvOOZe8tNEa0i8YkzPOGUN aSJL479cpLn8G7JYTlz4rrOayjZym2NvNJ+sztF5wEAZ/V/8+5I7weX+h5pvAAAA//8DAFBL AwQUAAYACAAAACEAMd1fYdIAAACPAQAACwAAAF9yZWxzLy5yZWxzpJDBasMwDIbvg72D0b1x 2kMZo05vhV5LB7sKW0lMY8tYJm3fvqYwWEZvO+oX+j7x7/a3MKmZsniOBtZNC4qiZefjYODr fFh9gJKC0eHEkQzcSWDfvb/tTjRhqUcy+iSqUqIYGEtJn1qLHSmgNJwo1k3POWCpYx50QnvB gfSmbbc6/2ZAt2CqozOQj24D6nxP1fyHHbzNLNyXxnLQ3PfevqJqx9d4orlSMA9UDLgszzDT 3NTnQL/2rv/plRETfVf+QvxMq/XHrBc1dg8AAAD//wMAUEsDBBQABgAIAAAAIQD6n+wi/AIA AFwGAAAQAAAAZHJzL3NoYXBleG1sLnhtbKRUTW/bMAy9D9h/EHQduqRB1i1BnaIt0G1AUARN hh0HxpYbN7LkSXSa9NfvSbLbrKdh9cEmTUp8fPw4v9jXWuyU85U1mTz9OJRCmdwWlbnP5I/V zckXKTyTKUhbozJ5UF5ezN6/O2+mvhE4bPy0yeSGuZkOBj7fqJr8R9soA1tpXU0M1d0PGqe8 MkyMQLUejIbDs0FNlZEzXGV2y2bhgpTf7hZOVEUmR1IYqhFyVbFW4lQOOntyJcSf23zrOxD0 LyAKR4/I7K/4wtivDinEAIOIoAdjgCUEbTaCDw2gcIAiAW+fyfFoMp6cfR5NPgVkOJi8o9Bf 4JFVhM37K1scZuc0XeOLDBNz/w8aJWNkbN2TFI+OgN//bskBnP5ufCYnp+MxaslRGX/6PILi ji3rY4tp62urAwfCsY4i/MnkCJDJnF2vXDN0mHJbN8Rzs2zycCok1jjPq/1Pco0IIshSe761 yw01KjrQbu45UHXsG04atMlly7asWJTW8DInDbInQzyR25614Kw9L/mAhngjgwACHG+9JV6C ctbk5pEYCHdR0DvwCaYqU6Dto0j6HjMW2SxUuaL18qkrVCgOJ39Fc3PltrEWgYzLeIhAD0qL 6TGdGUc2ZO7RzYvW5AiQqqBDSQIq3+SLnMWOQlkDkz2Vxx5Xqnzt27vh/Iv1suTej32688iv s67ba+1W+0jsul0+PYs3SONZucUaiS5M69QPNAUbd3FQQmuEkaNpeoHZbVtXtX2oEqnIOJOF OrlcYS2BPTQ5iFgnpuO7zaRBiLC1XLVFGxm7jJIUW+XCjsPqQQOHkekcQw/jV2hD0tWT+hbV NXmlq7Dzom3hrC2jXFSOD1HyNV9rRbh0GDtcmwDd2JtK69To6Y+3uirCz0hi2JEKVCUeeZ8W Dyp27KXKUuXcE9TOTUdgG67p5NgOcTOVlAPnh/rhRHOYGJoqemVQlAy5f2XIfTdjLjHPM/Hr 5YEskt59kikMMVoCbxQqVC1uwH7LYQf6ZvYHAAD//wMAUEsDBBQABgAIAAAAIQBSarxc1gAA APkAAAAPAAAAZHJzL2Rvd25yZXYueG1sRI9NawIxFEX3Bf9DeEI3UjOVfgxTo0ixtJsutIXi 7jl5JqmTZJpEZ+bfN7hxebmXcznzZW8bdqYQjXcC7qcFMHK1l8YpAd9fb3clsJjQSWy8IwED RVguRjdzrKTv3IbO26RYhrhYoQCdUltxHmtNFuPUt+Ryd/DBYsoxKC4DdhluGz4riidu0bj8 oLGlV031cXuyAh4f1N/J7EvZPf8Ou/KHT5q1JiFux/3qBViiPl3H68mn2l3LC+pDCpgBO7wP +2DkBmOiICC7ZdNsCXzxDwAA//8DAFBLAQItABQABgAIAAAAIQBa4xFm/gAAAOIBAAATAAAA AAAAAAAAAAAAAAAAAABbQ29udGVudF9UeXBlc10ueG1sUEsBAi0AFAAGAAgAAAAhADHdX2HS AAAAjwEAAAsAAAAAAAAAAAAAAAAALwEAAF9yZWxzLy5yZWxzUEsBAi0AFAAGAAgAAAAhAPqf 7CL8AgAAXAYAABAAAAAAAAAAAAAAAAAAKgIAAGRycy9zaGFwZXhtbC54bWxQSwECLQAUAAYA CAAAACEAUmq8XNYAAAD5AAAADwAAAAAAAAAAAAAAAABUBQAAZHJzL2Rvd25yZXYueG1sUEsF BgAAAAAEAAQA9QAAAFcGAAAAAAAAEPAIAAAArQAgAWAVfQMPABHwHAAAAAAAwwsIAAAA//// /w0AMWkAAB8EBAAAAAIAAAAPAA3wawAAAAAAnw8EAAAAAAAAAAAAqA8jAAAAUmVxdWlyZW1l bnRzIG9uIE90aGVycy1EZXBlbmRlbmNpZXMAAKEPFgAAACQAAAAAAAAACgAHACQAAAAAAAIA KAAAAKoPDgAAACQAAAAHAAAAAAAHDAAADwAE8MgPAAASAArwCAAAAAM8AAAgAgAAEwEL8JIA AAAEAAAAAAB/AAEA7wGAAIBdQgWBADBlAQCCAJiyAACDADBlAQCEAJiyAACFAAAAAACHAAAA AACIAAAAAAC/AAQABAC/AQEAAQD/ARAAEQABAwMEAAA/AwAACACAwywAAAC/AwAAAgBDAG8A bgB0AGUAbgB0ACAAUABsAGEAYwBlAGgAbwBsAGQAZQByACAAMgAAABMAIvHYCgAAqcPSCgAA UEsDBBQABgAIAAAAIQBa4xFm/gAAAOIBAAATAAAAW0NvbnRlbnRfVHlwZXNdLnhtbJSRTU/E IBCG7yb+BzJX01I9GGNK92D1qEbXHzCBaUu2BcJg3f330v24GNfEI8y8z/sE6tV2GsVMka13 Cq7LCgQ57Y11vYKP9VNxB4ITOoOjd6RgRwyr5vKiXu8CschpxwqGlMK9lKwHmpBLH8jlSefj hCkfYy8D6g32JG+q6lZq7xK5VKSFAU3dUoefYxKP23x9MIk0MoiHw+LSpQBDGK3GlE3l7MyP luLYUObkfocHG/gqa4D8tWGZnC845l7y00RrSLxiTM84ZQ1pIkvjv1ykufwbslhOXPius5rK NnKbY280n6zO0XnAQBn9X/z7kjvB5f6Hmm8AAAD//wMAUEsDBBQABgAIAAAAIQAx3V9h0gAA AI8BAAALAAAAX3JlbHMvLnJlbHOkkMFqwzAMhu+DvYPRvXHaQxmjTm+FXksHuwpbSUxjy1gm bd++pjBYRm876hf6PvHv9rcwqZmyeI4G1k0LiqJl5+Ng4Ot8WH2AkoLR4cSRDNxJYN+9v+1O NGGpRzL6JKpSohgYS0mfWosdKaA0nCjWTc85YKljHnRCe8GB9KZttzr/ZkC3YKqjM5CPbgPq fE/V/IcdvM0s3JfGctDc996+omrH13iiuVIwD1QMuCzPMNPc1OdAv/au/+mVERN9V/5C/Eyr 9cesFzV2DwAAAP//AwBQSwMEFAAGAAgAAAAhAGG1zGZtBgAA/CAAABAAAABkcnMvc2hhcGV4 bWwueG1s7Ffbbts4EH0vsP9A8HWR2nHtJjaiFImBtAWMwohT7GNBS1SsNUVqScq187T/sH+w n7ZfsmdIybXzVNQBWhg2YImXITlzzpyRdPVuXSq2ktYVRif8/HWXM6lTkxX6MeGfH+7OLjlz XuhMKKNlwjfS8XfXv726qkauYlis3ahK+ML7atTpuHQhS+Fem0pqzOXGlsKjax87lZVOai88 DipVp9ftvu2UotD8Glvp1ayaWmqln1ZTy4os4W8406LEkWOjPVayqRKpXBiVSct6vNNYx4UC 3kxMunSNS+J7XMqs+Io497xh2ry3COicDugEf1rXNDyjQ6sF/FsnvN8b9odvL3rDQWMbDbDo WzgOYQVP/frWZJvrKzGa444QI3Q/7ic48wjS2CfOvloBl91ftbCSM/VRu4QPz/t9kOlDpz+4 6KFjd2fmuzO6LsdGUdjMehWasBc6xQEJ921z7NHDRGrKSviJnlUpraGwKuv8w/oPYStGTSyS a//JzBaiksFArCbOE6i7trRSI0tuam/ywrMcXM9SoUD7sDfo4ihFh9zLrE4pc3BaF78AeAsl 7aGcn/mNkofCCv/g3qG7hE3AcSnsBImMRKFI0LsP6KkVkMZAoTPkdcLPWguhHhGh4iyT+YOY z54aGmELVsIaKSb61i4DUwTWTVgiAB+ggrh0M40lC6Efkd7TWqc4JLIU0CT3XJVOU89Wgkgn SFtMdy1uZf7cFrrdmmKPbxY3uW9tvYv7tlvCrpmd12NlH9YB5Xk9e9o27xAK85tK5tB4wm9s IQBDVfh0cSfKQm0IRuTdQlgnEU3YGglQjzEShhP+39//Ul6IkRfzmGpiBCDvgwIp60i+YhQv YGdZl0Vp/iwiJwAr4VKffZ6h4AH4N4iUs3kkKlzrhGvUQKqHtljCS21mocXZUlpKzbAkJS02 hiQP7EIZLlTxJD+E7lw4qQqqpmFuao3JQzsrrEekGHWlHyspsGk3iEdpcl2bu0KpqKE44owq MhoM2FP1lUA4wu/XsYiB7F0rmecy9S1A9UQ3JNS0TdMOmbTDx++lPlM+oivFswkp4kTqnk2k rtGpjcj7a/aFfYm/9h561MGfMSoOSCNcwRJRRmG9sBwvIMcBIN6XIwrfVo69y8EFWZzkeJgc /3lBOfYuf6YcpcVzDylytLIMMtxT33cXyp/LzLEywvCLlZKuTTPc4vjuSLA71c6jepU5ntp5 rAqNqgvXrUCpB2WSOLcCbRrtyL5Of7TK4ll0eh0NL/uHvI425MXb6en3C30mBEqicnDdSgjN Q/VDL/rhE+ukn5fTzx5BB1OET69fnqL/AQAA///sVktu2zAQvQrBbeHKdpwmESIDTgCjCy+E OF0bY4qyWVMkQVGpk1Xv0Bv0aD1Jh6SkKEFXTVEUqLWwHucnzueZlHJ+DWnN9rzit9KSB5AZ dccJTebXCSq0FMVSRCtelpy5Ve1QB2mzUvfHiLxBiyU4oYh7NLwExjP6rlIj6Xw0SDm8UnCI Cla/UrC6/b7Nrfd0882GxGfjkd+aCxtENWLjjQw5VlLVKWR075xJkySkBfV7bbhCXaltBQ6X dpcUFr4ItatkMh2PPyQVCEVDkNySCuwqo2ez6dV4TP3qLqMI5AOWBt9CFVy5jI46C5A7lVFJ ScHLe9iunzJ6NZnNvLN10YfDSt3YQ0YnlJRauUVwgcZpjOtL1qrRZQ9qhzvLG8XwI5OwK6nW hvnt1YblzMUuTcb+aQs1tLjh5WtbTLI3xRjPFosS6xjjujrG7UKiXavdNjgabYO3zfqph0tM ZdC6hRWAZTDCsf0SKiEffRkpYXuwNcdsQmhIMR5KgjijP75+j1PgYNvNFhbyLrdxBE0cgTAH OA7k0FSi0p9F7AkWK6NcjT6tKamx8GeYKSXb2Kjw22RUacVR7aw44EgqvQ6IkgO32LhJcGFg ekPDgqfy8yLFE/8YlluouRQKI+AXlM6t1mXAhbAOM0VpXblbyQGDjtu++eIq7QkSs5EqlHtI q3+ffARJ1z/dont7RcC9oAfRp1v+DdJeIGnPsREvSYuk60k7vTy/8BYn0rb/0L9J2m9vJW3B R4v7SNrp5Ym0f/zE7Gg3ZGcr869e3QMvIt0qgvDbwoHL6QT+H09groocLODB/KszeEDn0xk8 uBO98QL8XPTuopuY1B1vdPGIAoMXwvlPAAAA//8DAFBLAwQUAAYACAAAACEAsDc62NUAAAD5 AAAADwAAAGRycy9kb3ducmV2LnhtbESPzU7DMBCE70h9B2srcUHUoYhShW6rUgnICdSfB9jG m8Q0tiPbNClPj8Wlx9GMvtG3WA2mFWf2QTuL8DDJQLAtndK2Rjjs3+7nIEIkq6h1lhEuHGC1 HN0sKFeut1s+72ItEsSGnBCaGLtcylA2bChMXMc2dZXzhmKKvpbKU5/gppXTLJtJQ9qmh4Y6 3jRcnnY/BmETZq97NS++Pqeql09FZb4Leke8HQ/rFxCRh3gd/xr9fHct/1GFQngEUX1cjl6r LYXIHiG5JdNkCXL5BwAA//8DAFBLAQItABQABgAIAAAAIQBa4xFm/gAAAOIBAAATAAAAAAAA AAAAAAAAAAAAAABbQ29udGVudF9UeXBlc10ueG1sUEsBAi0AFAAGAAgAAAAhADHdX2HSAAAA jwEAAAsAAAAAAAAAAAAAAAAALwEAAF9yZWxzLy5yZWxzUEsBAi0AFAAGAAgAAAAhAGG1zGZt BgAA/CAAABAAAAAAAAAAAAAAAAAAKgIAAGRycy9zaGFwZXhtbC54bWxQSwECLQAUAAYACAAA ACEAsDc62NUAAAD5AAAADwAAAAAAAAAAAAAAAADFCAAAZHJzL2Rvd25yZXYueG1sUEsFBgAA AAAEAAQA9QAAAMcJAAAAAAAAEPAIAAAA8AMgAWAVEw8PABHwHAAAAAAAwwsIAAAA/////xMA MWkAAB8EBAAAAAMAAAAPAA3wAgQAAAAAnw8EAAAAAQAAAAAAoA8YAwAATgBvACAAaQBuAGkA dABpAGEAbAAgAHIAZQBxAHUAaQByAGUAbQBlAG4AdABzACAAYgB1AHQAIABvAGYAOgAgAA0A TgBlAHQAYwBvAG4AZgAgAFIAUABDAC8AZgBvAHIAbQBhAGwAaQB6AGUAZAAgAG0AZQB0AGgA bwBkACAAYwBhAGwAbAAgACgAdwBvAHIAawAtAGEAcgBvAHUAbgBkACAAYQB2AGEAaQBsAGEA YgBsAGUAKQANAEMAbwBhAHIAcwBlACAAZwByAGEAaQBuAGUAZAAgAG8AcABlAHIAYQB0AGkA bwBuAHMAIABvAG4AIAB0AGgAZQAgAGQAZQB2AGkAYwBlABkgcwAgAHAAcgBvAHQAbwBjAG8A bAAgAGEAZwBlAG4AdAAgAHMAaQBnAG4AaQBmAGkAYwBhAG4AdABsAHkAIAByAGUAZAB1AGMA ZQAgAGwAZQB2AGUAbAAgAG8AZgAgAGMAbwBtAHAAbABlAHgAaQB0AHkAOgAgAHAAcgBvAHYA aQBzAGkAbwBuAF8AcwB1AGIAcwBjAHIAaQBiAGUAcgAgACgAKQAgAHYAcwAuACAAMQAwADAA IABTAGUAdABzACAAJiANAEMAbwBuAHMAZQBjAHUAdABpAHYAZQBsAHkAIABlAGwAZQBnAGEA bgB0ACAAaQBuAHQAZQBnAHIAYQB0AGkAbwBuACAAaQBuAHQAbwAgAHAAcgBvAHQAbwBjAG8A bAAgAHMAcABlAGMAaQBmAGkAYwBhAHQAaQBvAG4AcwAgAG4AYQB0AHUAcgBhAGwADQBNAGEA bgBhAGcAZQBtAGUAbgB0ACAAZwBlAHQAcwAgAG0AdQBjAGgAIABlAGEAcwBpAGUAcgAgAGYA bwByACAAcAByAG8AdABvAGMAbwBsACAAZABlAHMAaQBnAG4AZQByAHMAIABpAGYAIABQAHIA bwB0AG8AYwBvAGwAIABDAGwAYQBzAHMAIABNAGUAdABhACAATQBvAGQAZQBsACAAaQBzACAA YQB2AGEAaQBsAGEAYgBsAGUALgAgAA0AAAChD6oAAAAhAAAAAAAAEAoAWgAHAMUAAAABAAAQ CgBaAAcARwAAAAAAABAKAFoABwBfAAAAAQAAEAoAWgAHAAEAAAAAAAAQCgBaAAcAIQAAAAAA AgAeAHQAAAAAAAIAGgANAAAAAgACAAIAGgAdAAAAAAACABoAGAAAAAEAAgABABoADwAAAAAA AgAaAEcAAAAABAIAAAQeAF8AAAAABAIAAAQaAAEAAAAABAIAAAQeAAAAqg8cAAAALQEAAAcA AAAAAAkEAABgAAAABwAAAAAABwwAABAA8AcgAAAA////AAAAAADu7OEAH0l9AE+BvQDAUE0A AAD/AIAAgAAPAIgTOAAAAA8AihMwAAAAAAC6DxAAAABfAF8AXwBQAFAAVAAxADAAAACLExAA AAAAAOsuCAAAADVrxwGwbVfaAAAiBAgAAAABAAAAAgAAAA8A7gMDCwAAAgDvAxgAAAAQAAAA AAAAAAAAAAAAAACAAAAAAAcAAAAPAAwEYwoAAA8AAvBbCgAAsAEI8AgAAAADAAAAA0AAAA8A A/BDCgAADwAE8CgAAAABAAnwEAAAAAAAAAAAAAAAAAAAAAAAAAACAArwCAAAAABAAAAFAAAA DwAE8CEBAAASAArwCAAAAAJAAAAgAgAAAwEL8HAAAAAEAAAAAAB/AAEA7wGAAOBaQgWBADBl AQCCAJiyAACDADBlAQCEAJiyAACFAAAAAACHAAEAAACIAAAAAAC/AAQABAD/ARAAEQABAwIE AAA/AwAACACAwxAAAAC/AwAAAgBUAGkAdABsAGUAIAAxAAAAAAAQ8AgAAACtACABYBV9Aw8A EfAcAAAAAADDCwgAAAD/////DQAxaQAAHwQEAAAAAgAAAA8ADfBdAAAAAACfDwQAAAAAAAAA AACoDxcAAABBcHByb2FjaCBUYWxraW5nIFBvaW50cwAAoQ8UAAAAGAAAAAAAAAAKAAcAGAAA AAAAAAAAAKoPDgAAABgAAAAHAAAAAAAHDAAADwAE8OIIAAASAArwCAAAAANAAAAgAgAAEwEL 8JIAAAAEAAAAAAB/AAEA7wGAACCRHwWBADBlAQCCAJiyAACDADBlAQCEAJiyAACFAAAAAACH AAAAAACIAAAAAAC/AAQABAC/AQEAAQD/ARAAEQABAwMEAAA/AwAACACAwywAAAC/AwAAAgBD AG8AbgB0AGUAbgB0ACAAUABsAGEAYwBlAGgAbwBsAGQAZQByACAAMgAAAAAAEPAIAAAA8AMg AYAWhhAPABHwHAAAAAAAwwsIAAAA/////xMAMWkAAB8EBAAAAAMAAAAPAA3w/AcAAAAAnw8E AAAAAQAAAAAAoA86BwAAIgA4ADAAJQAgAGUAYQBzAGkAZQByACAAdABvACAAdQBuAGQAZQBy AHMAdABhAG4AZAAsACAAOQAwACUAIABsAGUAcwBzACAAdABpAG0AZQAiACwAIABWAEUAUgBZ ACAAUwBJAE0AUABMAEUAIAB1AHAAcABlAHIAIABsAGEAeQBlAHIAIABtAG8AZABlAGwAcwAg ACYgDQBBAHAAcABsAGkAZQBzACAAaQBmACAAeQBvAHUAIABoAGEAdgBlACAAdABoAG8AdQBz AGEAbgBkAHMALwB0AGUAbgAgAHQAaABvAHUAcwBhAG4AZABzACAAbwBmACAATgBFAHMAIABh AG4AZAAgAHMAbQBhAGwAbAAgACYgDQBOAG8AdAAgAGEAIABtAG8AbgBvAGwAaQB0AGgAaQBj ACAAbQBvAGQAZQBsACAALgAuAC4ADQBOAG8AIABkAGUAdgBpAGMAZQAgAGMAbABhAHMAcwAv AHMAZQByAHYAaQBjAGUAIAB4AHMAZABzACAAZQB0AGMALgAgAHcAaQB0AGgAbwB1AHQAIABt AGUAdABhACAAbQBvAGQAZQBsAHMAIAAmIA0ATABlAGEAdgBlACAAMQAwADAAJQAgAHQAbwAg AGEAbABsAC0AaQBuAGMAbAB1AHMAaQB2AGUAIABtAG8AZABlAGwAcwAgACYgDQBQAHIAbwBj AGUAcwBzACAAaQBzACAAYwByAHUAYwBpAGEAbAAgAC4ALgAuAA0ALgBuAGUAdAAgAGUAeABh AG0AcABsAGUAIAAuAC4ALgANAEYAbwBzAHQAZQByAGkAbgBnACAAZQB4AHAAbwBzAHUAcgBl ACAAbwBmACAAbQBlAHQAaABvAGQAcwAgAGkAbgAgAE4ARQBzACAAJiANAE8AbgBlACAAZABy AGEAZgB0ACAAcgB1AGwAZQBzACAAdABoAGUAbQAgAGEAbABsACAAZABvAGUAcwAgAG4AbwB0 ACAAdwBvAHIAawAgAGgAZQByAGUAIAAmIA0ATQBhAG4AeQAgAGYAbwBsAGsAcwAgAG4AbwB0 ACAAdQBzAGUAZAAgAHQAbwAgAG0AZQB0AGEAIABtAG8AZABlAGwAaQBuAGcAIAAmIA0ATwB2 AGUAcgBzAHAAZQBjAGkAZgB5ACAALgAuAC4ADQBHAG8AbwBkACAAZQB4AHAAcgBlAHMAcwBp AHYAZQBuAGUAcwBzACAAbgBlAGMAZQBzAHMAYQByAHkAIAAuAC4ALgANAEcAbwBvAGQAIABi AHUAdAAgAG4AbwB0ACAAcABlAHIAZgBlAGMAdAAgAGMAbwB2AGUAcgBhAGcAZQAsACAAYwBv AG0AcABsAGUAdABlAG4AZQBzAHMALAAgAGMAbwByAHIAZQBjAHQAbgBlAHMAcwAgACYgIABJ AHQAZQByAGEAdABlACAAJiANAE4AbwB0ACAAZwBvAGkAbgBnACAAdABvACAAcwBvAGwAdgBl ACAAdABoAGUAIAB3AG8AcgBsAGQAIAAmICAAYgB1AHQAIAA4ADAAJQAgAG8AZgAgAGkAdAAg ADsAKQANAEgAdQBtAGEAbgAgAHIAZQBhAGQAYQBiAGwAZQAgAHMAYwBoAGUAbQBhAHQAYQAg AGEAbgBkACAAbQBvAGQAZQBsAHMAIABhACAAawBlAHkAIABjAHIAaQB0AGUAcgBpAG8AbgAN AE0AbwBkAGUAbABzACAAdwBpAGwAbAAgAGQAbwAgAHMAbwBtAGUAIAB0AGgAaQBuAGcAcwAg AGwAaQBrAGUAIABJAFAAIAB2AGUAcgB5ACAAdwBlAGwAbAAgACYgDQBVAHMAZQAgAG8AZgAg ADIALQAzACAAcwBhAG0AcABsAGUAIABzAHQAYQBjAGsAcwA6ACAAZQAuAGcALgAgAEEAVABN ACAAcwB0AGEAYwBrACAAbwByACAAUwBpAHQAZQAtAHQAbwAtAFMAaQB0AGUAIABJAFAAUwBl AGMAIABUAHUAbgBuAGUAbABzAC8AUABPAFMALwBNAFAATABTAC8AUwBPAE4ARQBUAC0AUwBE AEgAIAAmIA0AUwBlAG4AcwBpAGIAbABlACAAYQBiAHMAdAByAGEAYwB0AGkAbwBuACwAIABk AGUAYwBvAG0AcABvAHMAaQB0AGkAbwBuACAAdwBoAGUAcgBlACAAbgBlAGMAZQBzAHMAYQBy AHkAIAAmIA0AaQBuAHQAZQBnAHIAYQB0AGkAbwBuAC0AcAByAG8AZAB1AGMAZQAgAHMAbwBt AGUAdABoAGkAbgBnACAAdABoAGEAdAAgAGYAaQB0AHMAIAB0AG8AZwBlAHQAaABlAHIAIAAm IA0AaQBtAHAAbwByAHQAYQBuAGMAZQAgAG8AZgAgAG0AZQB0AGEAIABtAG8AZABlAGwAcwAv AGYAcgBhAG0AZQB3AG8AcgBrAHMAIAAuAC4ALgAAAKEPLgAAAEIDAAAAAAAACgAHAFwAAAAB AAAACgAHAEIDAAAAAAIADgBcAAAAAAQCAAAEDAAAAKoPcAAAAIwAAAAHAAAAAAAJBAAAGgAA AAcAAAAAAAcMAABdAAAABwAAAAAACQQAACgAAAAHAAAAAAAHDAAAfAAAAAcAAAAAAAkEAAAy AAAABwAAAAAABwwAAJwBAAAHAAAAAAAJBAAAKQAAAAcAAAAAAAcMAAAQAPAHIAAAAP///wAA AAAA7uzhAB9JfQBPgb0AwFBNAAAA/wCAAIAADwCIEzgAAAAPAIoTMAAAAAAAug8QAAAAXwBf AF8AUABQAFQAMQAwAAAAixMQAAAAAADrLggAAAA3a8cBICfJEAAAIgQIAAAAAQAAAAIAAAAP AO4DbQcAAAIA7wMYAAAAEAAAAAAAAAAAAAAAAAAAgAAAAAAHAAAADwAMBM0GAAAPAALwxQYA AMABCPAIAAAAAwAAAANEAAAPAAPwrQYAAA8ABPAoAAAAAQAJ8BAAAAAAAAAAAAAAAAAAAAAA AAAAAgAK8AgAAAAARAAABQAAAA8ABPAcAQAAEgAK8AgAAAACRAAAIAIAAAMBC/BwAAAABAAA AAAAfwABAO8BgABgVkIFgQAwZQEAggCYsgAAgwAwZQEAhACYsgAAhQAAAAAAhwABAAAAiAAA AAAAvwAEAAQA/wEQABEAAQMCBAAAPwMAAAgAgMMQAAAAvwMAAAIAVABpAHQAbABlACAAMQAA AAAAEPAIAAAArQAgAWAVfQMPABHwHAAAAAAAwwsIAAAA/////w0AMWkAAB8EBAAAAAIAAAAP AA3wWAAAAAAAnw8EAAAAAAAAAAAAqA8SAAAAUHJvY2Vzcy1DeWNsZSBUaW1lAAChDxQAAAAT AAAAAAAAAAoABwATAAAAAAAAAAAAqg8OAAAAEwAAAAcAAAAAAAcMAAAPAATwUQUAABIACvAI AAAAA0QAACACAAATAQvwkgAAAAQAAAAAAH8AAQDvAYAAgFdCBYEAMGUBAIIAmLIAAIMAMGUB AIQAmLIAAIUAAAAAAIcAAAAAAIgAAAAAAL8ABAAEAL8BAQABAP8BEAARAAEDAwQAAD8DAAAI AIDDLAAAAL8DAAACAEMAbwBuAHQAZQBuAHQAIABQAGwAYQBjAGUAaABvAGwAZABlAHIAIAAy AAAAAAAQ8AgAAABXAw4BuhV6Dg8AEfAcAAAAAADDCwgAAAD/////EwAxaQAAHwQEAAAAAwAA AA8ADfBrBAAAAACfDwQAAAABAAAAAACoD00DAABDb21wbGV4aXR5IGlzIHNpZ25pZmljYW50 bHkgaGlnaGVyIHRoYW4gZm9yIG1hbnkgcHJvdG9jb2xzIChub3QgVENQKQ1KdXN0IGFzIG11 Y2ggYW4gb3JnYW5pemF0aW9uIGFuZCBwcm9jZXNzIGV4ZXJjaXNlDUV4cGVjdGVkIGhpZ2gg aW50aWFsIGZsb3cgb2YgY2hhbmdlcyB1bnRpbCBzdGVhZHktc3RhdGUsIHN0aWxsIGNvbXBl cmF0aXZlbHkgbWFueSBjaGFuZ2VzIGFzIHBhcnQgb2YgcmVndWxhciBwcm9jZXNzIGluIHJl Z3VsYXIgdXBkYXRlIGN5Y2xlDURldmljZS9MaW5lL1NlcnZpY2UvUHJvdG9jb2wgTW9kZWxz IHNob3VsZCBiZSBzaGlmdGVkIHRvIHJlc3BlY3RpdmUgYXJlYXMNQnJhbmNoZXMNRm9sZGlu ZyBvZiBub3JtYXRpdmUgc2NoZW1hIGV4dGVuc2lvbnMgaW50byBtYWluIGFzIG11Y2ggYXMg cG9zc2libGUNQWxsb3cgcHJpdmF0ZSBicmFuY2hlcw1BbGxvdyBzcGVjaWFsaXphdGlvbiB3 aXRob3V0IGZvbGRpbmcgDVRhcmdldCB0aW1lOiAxIHllYXIgZm9yIGZpcnN0IGl0ZXJhdGlv bg1DeWNsZSB0aW1lOg1EZXZpY2UvTGluZS9TZXJ2aWNlL1Byb3RvY29sIEluc3RhbmNlczog b24gZGlzY3JldGlvbiBvZiBlcXVpcG1lbnQvbm0gdmVuZG9ycw1EZXZpY2UvTGluZS9TZXJ2 aWNlL1Byb3RvY29sIE1vZGVsOiBpbml0aWFsOiA2IG1vbnRocywgc3RlYWR5LXN0YXRlIDYg bW9udGhzDVN5bmNlZCB3aXRoIHByb3RvY29scyANQWxsIG1ldGEgbW9kZWxzOiBpbml0aWFs OiA2IG1vbnRocywgc3RlYWR5LXN0YXRlIDgtOSBtb250aHMgDU9iamVjdCBtb2RlbCBhbmQg ZGF0YSB0eXBlczogaW5pdGlhbDogNiBtb250aHMsIHN0ZWFkeS1zdGF0ZSAzLTQgeWVhcnMg b3IgbG9uZ2VyDQAAoQ+0AAAAVwEAAAAAAAAKAAcAggAAAAEAAAAKAAcANAAAAAAAAAAKAAcA mwAAAAEAAAAKAAcAFwAAAAIAAAAKAAcAjgAAAAEAAAAKAAcAAQAAAAAAAQAKAAIABwBOAQAA AAACABQACQAAAAEAAgABABQAggAAAAEAAgABABAANAAAAAEEAgABBBQAmwAAAAEIAgABCBAA FwAAAAEIAgABCA4AjgAAAAEMAgABDBAAAQAAAAAQAgAAEBQAAACqD0YAAAAoAQAABwAAAAAA BwwAAHQAAAAHAAAAAAAJBAAAPQAAAAcAAAAAAAcMAAAoAAAABwAAAAAACQQAAE0BAAAHAAAA AAAHDAAAEADwByAAAAD///8AAAAAAO7s4QAfSX0AT4G9AMBQTQAAAP8AgACAAA8AiBM4AAAA DwCKEzAAAAAAALoPEAAAAF8AXwBfAFAAUABUADEAMAAAAIsTEAAAAAAA6y4IAAAAN2vHAZBq AxQAACIECAAAAAEAAAACAAAADwDuA+MDAAACAO8DGAAAABAAAAAAAAAAAAAAAAAAAIAAAAAA BwAAAA8ADARDAwAADwAC8DsDAADQAQjwCAAAAAMAAAADSAAADwAD8CMDAAAPAATwKAAAAAEA CfAQAAAAAAAAAAAAAAAAAAAAAAAAAAIACvAIAAAAAEgAAAUAAAAPAATwFAEAABIACvAIAAAA AkgAACACAAADAQvwcAAAAAQAAAAAAH8AAQDvAYAAoFhCBYEAMGUBAIIAmLIAAIMAMGUBAIQA mLIAAIUAAAAAAIcAAQAAAIgAAAAAAL8ABAAEAP8BEAARAAEDAgQAAD8DAAAIAIDDEAAAAL8D AAACAFQAaQB0AGwAZQAgADEAAAAAABDwCAAAAK0AIAFgFX0DDwAR8BwAAAAAAMMLCAAAAP// //8NADFpAAAfBAQAAAACAAAADwAN8FAAAAAAAJ8PBAAAAAAAAAAAAKgPCgAAAE9wZW4gSXRl bXMAAKEPFAAAAAsAAAAAAAAACgAHAAsAAAAAAAAAAACqDw4AAAALAAAABwAAAAAABwwAAA8A BPDPAQAAEgAK8AgAAAADSAAAIAIAABMBC/CSAAAABAAAAAAAfwABAO8BgACAWkIFgQAwZQEA ggCYsgAAgwAwZQEAhACYsgAAhQAAAAAAhwAAAAAAiAAAAAAAvwAEAAQAvwEBAAEA/wEQABEA AQMDBAAAPwMAAAgAgMMsAAAAvwMAAAIAQwBvAG4AdABlAG4AdAAgAFAAbABhAGMAZQBoAG8A bABkAGUAcgAgADIAAAAAABDwCAAAAPADIAFgFRMPDwAR8GYAAAAAAMMLCAAAAP////8TADFp DwCIE0IAAAAPAIoTOgAAAAAAug8OAAAAXwBfAF8AUABQAFQAOQAAAIsTHAAAAAAArA8UAAAA AACAA///AQADAAEAAAAAAAAAAAAAAB8EBAAAAAMAAAAPAA3wnwAAAAAAnw8EAAAAAQAAAAAA qA9FAAAAUnVsZXMgbGFuZ3VhZ2UsIG1ldGFtb2RlbCBsYW5ndWFnZQ1TdGF0ZSBtb2RlbCBp bmNsdXNpb24gYW5kIGxhbmd1YWdlAAChDxoAAABGAAAAAACSAAoAAwAiIAEABwBGAAAAAAAA AAAAqg8OAAAARgAAAAcAAAAAAAcMAAAAAKYPBgAAAAgAAABEARAA8AcgAAAA////AAAAAADu 7OEAH0l9AE+BvQDAUE0AAAD/AIAAgAAPAIgTOAAAAA8AihMwAAAAAAC6DxAAAABfAF8AXwBQ AFAAVAAxADAAAACLExAAAAAAAOsuCAAAADhrxwFwwhAjAAAiBAgAAAABAAAAAgAAAA8A7gNo FAAAAgDvAxgAAAAQAAAAAAAAAAAAAAAAAACAAAAAAAcAAAAPAAwEyBMAAA8AAvDAEwAA4AEI 8AgAAAADAAAAA0wAAA8AA/CoEwAADwAE8CgAAAABAAnwEAAAAAAAAAAAAAAAAAAAAAAAAAAC AArwCAAAAABMAAAFAAAADwAE8BcBAAASAArwCAAAAAJMAAAgAgAAAwEL8HAAAAAEAAAAAAB/ AAEA7wGAACChBAWBADBlAQCCAJiyAACDADBlAQCEAJiyAACFAAAAAACHAAEAAACIAAAAAAC/ AAQABAD/ARAAEQABAwIEAAA/AwAACACAwxAAAAC/AwAAAgBUAGkAdABsAGUAIAAxAAAAAAAQ 8AgAAACtACABYBV9Aw8AEfAcAAAAAADDCwgAAAD/////DQAxaQAAHwQEAAAAAgAAAA8ADfBT AAAAAACfDwQAAAAAAAAAAACoDw0AAABUb3dhcmRzIGEgQk9GAAChDxQAAAAOAAAAAAAAAAoA BwAOAAAAAAAAAAAAqg8OAAAADgAAAAcAAAAAAAcMAAAPAATwURIAABIACvAIAAAAA0wAACAC AAATAQvwkgAAAAQAAAAAAH8AAQDvAYAAQKIEBYEAMGUBAIIAmLIAAIMAMGUBAIQAmLIAAIUA AAAAAIcAAAAAAIgAAAAAAL8ABAAEAL8BAQABAP8BEAARAAEDAwQAAD8DAAAIAIDDLAAAAL8D AAACAEMAbwBuAHQAZQBuAHQAIABQAGwAYQBjAGUAaABvAGwAZABlAHIAIAAyAAAAEwAi8YEL AACpw3sLAABQSwMEFAAGAAgAAAAhAFrjEWb+AAAA4gEAABMAAABbQ29udGVudF9UeXBlc10u eG1slJFNT8QgEIbvJv4HMlfTUj0YY0r3YPWoRtcfMIFpS7YFwmDd/ffS/bgY18QjzLzP+wTq 1XYaxUyRrXcKrssKBDntjXW9go/1U3EHghM6g6N3pGBHDKvm8qJe7wKxyGnHCoaUwr2UrAea kEsfyOVJ5+OEKR9jLwPqDfYkb6rqVmrvErlUpIUBTd1Sh59jEo/bfH0wiTQyiIfD4tKlAEMY rcaUTeXszI+W4thQ5uR+hwcb+CprgPy1YZmcLzjmXvLTRGtIvGJMzzhlDWkiS+O/XKS5/Buy WE5c+K6zmso2cptjbzSfrM7RecBAGf1f/PuSO8Hl/oeabwAAAP//AwBQSwMEFAAGAAgAAAAh ADHdX2HSAAAAjwEAAAsAAABfcmVscy8ucmVsc6SQwWrDMAyG74O9g9G9cdpDGaNOb4VeSwe7 CltJTGPLWCZt376mMFhGbzvqF/o+8e/2tzCpmbJ4jgbWTQuKomXn42Dg63xYfYCSgtHhxJEM 3Elg372/7U40YalHMvokqlKiGBhLSZ9aix0poDScKNZNzzlgqWMedEJ7wYH0pm23Ov9mQLdg qqMzkI9uA+p8T9X8hx28zSzcl8Zy0Nz33r6iasfXeKK5UjAPVAy4LM8w09zU50C/9q7/6ZUR E31X/kL8TKv1x6wXNXYPAAAA//8DAFBLAwQUAAYACAAAACEAJrBsixYHAADcLwAAEAAAAGRy cy9zaGFwZXhtbC54bWzsWV9PGzkQfz/pvoPl1xNNyB8gEUsFSNydFKGIUPURTbxessVr79ne NOHpvsN9w/skN2PvhoBUqRSaq+hGKPHujO3xb+Y3Y5vj96tCsaW0Ljc64fvvupxJLUya69uE f7i+2DvizHnQKSijZcLX0vH3J7/+clyOXcmws3bjMuEL78txp+PEQhbg3plSapRlxhbg8dHe dkorndQePE5UqE6v2z3oFJBrfoJD6eWsnFpqicvl1LI8TXifMw0FTnlutMeebKpAyIVRqbSs xzu1duwIaM3EiDtXmwRfY1Jq4TOu85E1TJvfLS5onyboBHsa0zRaRpOWC7RvlfBBbzQYHRz2 RsNaNypgp4fluLAsGK8yW7zUtJNjGJssYzT18BAB5GyNhh50u9RGc2EsV54JlB8NB/1Rb8iZ QI3BCLHe7wcjoyVhZdG0cuxXZyZdU+85/iL40anfjiBGk0f4jb3n7LMFBNP9VYGVnKk/tUv4 aH8wQNt9eAgr4cxuS+bbEl0V50aRQ5j1KjSxM2iBEyTcN81zj08oEKYowU/0rBTUh5ZVWuev Vx/Bloya2AlhujSzBZQyKMBy4jy5e1uXemqM39PKmyz3LMMonAlQGJCHh0MCX9EkVzKtBMV0 wtEL0Q84ToSSxlDOz/xayZfCGvzbMO6bnRPwQB8XYCcJH+4P+kNcCT5dBfTUEpHGF7lOkXEJ 32s0QN3iChVnqcyuYT67r92IuuiV0EfCRJ/Zu+ApAus0dAGED6FC2utajF0WoG+ReNNKC5wk eimgSea5UkyFZ0sgpxOkIbYR022NM5k91d2GH8d40DjNfKPrXRy3GRL1aum8Olf2ehVQnlez +03zApfC/LqUGWafhP9WfNpTPrJtXlFwXFZFkCccLMxzMZU2N2nU8DCPoQVjBO5qausoo0QC 4/iF3ririrwwn/LoAwQn4ancO73G1ItA9wPV59Ex4btKuMZsTJnZ5ndolTaz0OLsTlrK46GL IO7VikQHRJ4iGlR+L/8Ij3NwUuWU14Nsao3JQjvNrcfUgW9d4c+VBBy0G8iiNJmuzUWuVFxN fOOMylN6GbCmOiAR0Qi3X8V0is7d1pJZJoVvAKomuga9omHqdoicR/jrDf4SnggkRNiFeyIQ jgQYQzYi70/YzeZD7zFCSBpzAK3glZkWch6i+ZhpmNNapn2Jaac2B0w4Ze7F4gKKXGE89geY 4RdgncS8Udc8ZC6+Ca8T/u/f/7wi83pHlOdb5tWZ77WYx/BD7Hv4etxuRBuGkmJUxp67oGtT 9h7TFWOhpeuX6Lqrwij13odZWxjH368wbtjWsC5yLz617Pupt6Ut++IRYZfsa2pfLIe7IGC7 W332ufD/2q1uEbLdrT459TXn9BeeE9kNbVjbjedPfiOzxbT2Rub7MC1UuHDQI8rFelc/1kUQ f9oC+EPuQNsC+DYvSomFyMH4FymJ5NwFCdtLmGfvQttLmDf334lw+dLUwp3wrj39PZt3bfF7 o8WPzn6bfSjVwCefuiDWN6SNbiyZjazdsv6gJ8eWtW+TtcTRmqobDt6w/wAAAP//7FbNbtsw DH4VQ9cic9Kmw2bUAdICwQ7BYDTdOaBlOVGjP0hyl/S0d9gb7klGSc4vtsvQ3SoECkVSNPV9 Iu3lMou/ZT8yHHc5FH4SZhtnM7mDwmRbKZQroCRr702R546umQT3QRum0NZqK8Hj0q7yxsJ3 rlZS5NfD4cdcAlckBqlsJsHOS/J5NB4PhySsHkuCgngRJRmRjKuGKV+Swe1ofHOLBhArVRJB soa1T1AvXo+brcc96MJgru7tJu5vtfLTuAU6rzEueK56M7quQa0ws6pTFB8yilkJtTA0pOcM rajPXiCkMgyD5BGBU4971l764iEPrhjj6DFtEccU17sUdx8S/Xpr3T0I+7TFJ0FRd4vXgzjD o2R+Z1gLlJVkajkgDIZ7up6B5GJXkpsxyegarGN4mhg6xHhATVSX5NePn+EMSCjUc+ejiEA+ VjadzFTIcSQaJ2Rn00ku9TNPnCBYJWnYYPpEMofAX38KnNXRmFy6kiitGJq95RvMUulFlEi2 YRaJGyE4mCOYg6Ohcb8K90XwV/YlLmtwTHCFEdBd6cpq3Ua54dbjSVHrpH8QDDDosOctpK70 jAuRTiNU0DgteBOUcRFuKUOEE/x+O+o5PfNibcuo3wPUzVVPQhfC9HK8SSd8XEk1ED6hy+DC wCAZqLswUNc/H9EO+fkJFiCONJ8IvRrrMSjD3GuCEJVBm3S96axwoWCqqcACcv0nWpkafFu8 01q8Ma1H0P9b79x3xvPeiQXy3jv/1juv5POhVutuim+Gr52MlVkSLJGa04pZrptUtP/eK0+K 6iY2vvdeGd9db90rQ+fbd8Twn8ZZ/8PPF/xwyU3ht/e62UXRmclvAAAA//8DAFBLAwQUAAYA CAAAACEAck3xMdUAAAD5AAAADwAAAGRycy9kb3ducmV2LnhtbEyPy27CMBBF95X4B2uQuisO qYpQwCCK+siqFVB1PcSTB43HkW1I+PtaXaAur+7VuTrL9WBacSHnG8sKppMEBHFhdcOVgq/D 68MchA/IGlvLpOBKHtar0d0SM2173tFlHyoRIewzVFCH0GVS+qImg35iO+LYldYZDDG6SmqH fYSbVqZJMpMGG44PNXa0ran42Z+Ngq2fPR/0PP/8SHUvn/LSnHJ8U+p+PGwWIAIN4d/4+/wy TW/lHyrXCh5BlO/Xo2v0Dn0gpyC6RdNoCXL1CwAA//8DAFBLAQItABQABgAIAAAAIQBa4xFm /gAAAOIBAAATAAAAAAAAAAAAAAAAAAAAAABbQ29udGVudF9UeXBlc10ueG1sUEsBAi0AFAAG AAgAAAAhADHdX2HSAAAAjwEAAAsAAAAAAAAAAAAAAAAALwEAAF9yZWxzLy5yZWxzUEsBAi0A FAAGAAgAAAAhACawbIsWBwAA3C8AABAAAAAAAAAAAAAAAAAAKgIAAGRycy9zaGFwZXhtbC54 bWxQSwECLQAUAAYACAAAACEAck3xMdUAAAD5AAAADwAAAAAAAAAAAAAAAABuCQAAZHJzL2Rv d25yZXYueG1sUEsFBgAAAAAEAAQA9QAAAHAKAAAAAAAAEPAIAAAA8AMgASYW/w8PABHw5gAA AAAAwwsIAAAA/////xMAMWkPAIgTwgAAAA8AihO6AAAAAAC6Dw4AAABfAF8AXwBQAFAAVAA5 AAAAixOcAAAAAACsD5QAAAAAAIAD//8BAAMAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgAP/ /wEAAwABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACAA///AQADAAEAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAIAD//8BAAMAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgAP//wEAAwABAAAAAAAA AAAAAAAfBAQAAAADAAAADwAN8BgFAAAAAJ8PBAAAAAEAAAAAAKAPpAMAAFQAZQByAG0AaQBu AG8AbABvAGcAeQANAEkAbgAgAE4ATQAgAHQAaQBtAGUAIABnAGUAdABzACAAdwBhAHMAdABl AGQAIAB3AGgAZQBuACAAZABpAGYAZgBlAHIAaQBuAGcAIAB0AGUAcgBtAGkAbgBvAGwAbwBn AGkAZQBzACAAYQByAGUAIAB1AHMAZQBkACAALgAuAC4ADQBJAHMAIAB0AGgAZQAgAHAAcgBv AGIAbABlAG0AIAB3AG8AcgB0AGgAIAB3AG8AcgBrAGkAbgBnACAAbwBuAA0ASQBzACAAdABo AGUAIABwAHIAbwBiAGwAZQBtACAAZABlAGYAaQBuAGUAZAAgAHcAZQBsAGwAIABlAG4AbwB1 AGcAaAANAEYAbwByACAAYQAgAEIATwBGACAAJiANAEMAcgBlAGEAdABpAG4AZwAgAGwAYQB5 AGUAcgAgAFYAIABtAG8AZABlAGwAcwAgAGYAaQByAHMAdAAgAGkAcwAgAGYAdQB0AGkAbABl ACAADQBuAGUAZQBkACAAdABvACAAYgBlACAAYwBvAG4AdgBlAHIAZwBlAGQAIAAmIA0ASgB1 AG0AcABzAHQAYQByAHQAaQBuAGcAIAB0AGgAZQAgAGUAZgBmAG8AcgB0ADoAIAANAGUALgBn AC4AIABiAGEAcwBpAG4AZwAgAGkAdAAgAG8AbgAgAEkATwBTAC8ASgBVAE4ATwBTACAAQwBM AEkAIAAoAGUAdgBhAGwAdQBhAHQAZQAgAGwAZQBnAGEAbAAsACAAcAByAGEAYwB0AGkAYwBh AGwAIABwAG8AcwBzAGkAYgBpAGwAaQB0AHkAKQANAE0ASQBCACAAdABvACAAWABNAEwAIABj AG8AbgB2AGUAcgBzAGkAbwBuACAAdABvACAAYgBlACAAZgBvAHIAbQBhAGwAaQB6AGUAZAAg AE4ATwBXAA0APABkAHIAYQBmAHQALQBjAGgAaQBzAGgAbwBsAG0ALQBuAGUAdABjAG8AbgBm AC0AbQBvAGQAZQBsAC0AMAA2AC4AdAB4AHQAIAA+ACAAaQBzACAAYwBsAG8AcwBlACAAdABv ACAAYQAgAEwAYQB5AGUAcgAgAEkASQAgAG8AYgBqAGUAYwB0ACAAbQBvAGQAZQBsAA0AUwBo AG8AdQBsAGQAIABhACAAQgBPAEYAIABiAGUAIABoAGUAbABkACAAYQB0ACAASQBFAFQARgA2 ADkAAAChDwYBAAAMAAAAAACSEAoAAwAiIAEAUAAHAEEAAAABAAAQCgBQAAcAQwAAAAAAkhAK AAMAIiABAFAABwAMAAAAAQAAEAoAUAAHACkAAAAAAJIQCgADACIgAQBQAAcAFwAAAAEAABAK AFAABwAaAAAAAACSEAoAAwAiIAEAUAAHAL4AAAABAAAQCgBQAAcAHwAAAAAAkhAKAAMAIiAB AFAABwAMAAAAAAACABkAQQAAAAAEAgAABBYAQwAAAAAIAgAACBkADAAAAAAMAgAADBYAKQAA AAAQAgAAEBkAFwAAAAAUAgAAFBYAGgAAAAAYAgAAGBkAvgAAAAAcAgAAHBYAHwAAAAAgAgAA IBkAAACqDzgAAABNAAAABwAAAAAABwwAABwBAAAHAAAAAAAJBAAASgAAAAcAAAAAAAcMAAAg AAAABwAAAAAACQQAAAAApg8KAAAAGAIAAEQBQAL8ABAA8AcgAAAA////AAAAAADu7OEAH0l9 AE+BvQDAUE0AAAD/AIAAgAAPAIgTOAAAAA8AihMwAAAAAAC6DxAAAABfAF8AXwBQAFAAVAAx ADAAAACLExAAAAAAAOsuCAAAADdrxwEwnX0XAAAiBAgAAAABAAAAAgAAAA8A7gNJDwAAAgDv AxgAAAAQAAAAAAAAAAAAAAAAAACAAAAAAAcAAAAPAAwEqQ4AAA8AAvChDgAA8AEI8AgAAAAD AAAAA1AAAA8AA/CJDgAADwAE8CgAAAABAAnwEAAAAAAAAAAAAAAAAAAAAAAAAAACAArwCAAA AABQAAAFAAAADwAE8BQBAAASAArwCAAAAAJQAAAgAgAAAwEL8HAAAAAEAAAAAAB/AAEA7wGA AMCjBAWBADBlAQCCAJiyAACDADBlAQCEAJiyAACFAAAAAACHAAEAAACIAAAAAAC/AAQABAD/ ARAAEQABAwIEAAA/AwAACACAwxAAAAC/AwAAAgBUAGkAdABsAGUAIAAxAAAAAAAQ8AgAAACt ACABYBV9Aw8AEfAcAAAAAADDCwgAAAD/////DQAxaQAAHwQEAAAAAgAAAA8ADfBQAAAAAACf DwQAAAAAAAAAAACoDwoAAABSZWZlcmVuY2VzAAChDxQAAAALAAAAAAAAAAoABwALAAAAAAAA AAAAqg8OAAAACwAAAAcAAAAAAAcMAAAPAATwNQ0AABIACvAIAAAAA1AAACACAAATAQvwkgAA AAQAAAAAAH8AAQDvAYAAgKQEBYEAMGUBAIIAmLIAAIMAMGUBAIQAmLIAAIUAAAAAAIcAAAAA AIgAAAAAAL8ABAAEAL8BAQABAP8BEAARAAEDAwQAAD8DAAAIAIDDLAAAAL8DAAACAEMAbwBu AHQAZQBuAHQAIABQAGwAYQBjAGUAaABvAGwAZABlAHIAIAAyAAAAEwAi8WIKAACpw1wKAABQ SwMEFAAGAAgAAAAhAFrjEWb+AAAA4gEAABMAAABbQ29udGVudF9UeXBlc10ueG1slJFNT8Qg EIbvJv4HMlfTUj0YY0r3YPWoRtcfMIFpS7YFwmDd/ffS/bgY18QjzLzP+wTq1XYaxUyRrXcK rssKBDntjXW9go/1U3EHghM6g6N3pGBHDKvm8qJe7wKxyGnHCoaUwr2UrAeakEsfyOVJ5+OE KR9jLwPqDfYkb6rqVmrvErlUpIUBTd1Sh59jEo/bfH0wiTQyiIfD4tKlAEMYrcaUTeXszI+W 4thQ5uR+hwcb+CprgPy1YZmcLzjmXvLTRGtIvGJMzzhlDWkiS+O/XKS5/BuyWE5c+K6zmso2 cptjbzSfrM7RecBAGf1f/PuSO8Hl/oeabwAAAP//AwBQSwMEFAAGAAgAAAAhADHdX2HSAAAA jwEAAAsAAABfcmVscy8ucmVsc6SQwWrDMAyG74O9g9G9cdpDGaNOb4VeSwe7CltJTGPLWCZt 376mMFhGbzvqF/o+8e/2tzCpmbJ4jgbWTQuKomXn42Dg63xYfYCSgtHhxJEM3Elg372/7U40 YalHMvokqlKiGBhLSZ9aix0poDScKNZNzzlgqWMedEJ7wYH0pm23Ov9mQLdgqqMzkI9uA+p8 T9X8hx28zSzcl8Zy0Nz33r6iasfXeKK5UjAPVAy4LM8w09zU50C/9q7/6ZURE31X/kL8TKv1 x6wXNXYPAAAA//8DAFBLAwQUAAYACAAAACEAjCRHw/cFAADFMAAAEAAAAGRycy9zaGFwZXht bC54bWzsmk1v4zYQhu8F+h8IXousHW920xhRFo6BtAWMwIhd9FiMJTpWTZEqSXnt/Pq+Q8pZ b07FLupDQR1kUhwO5+shhSi3n/aNFjvlfG1NIS/fDaVQprRVbZ4L+fvy4eJnKXwgU5G2RhXy oLz8dPfjD7ft2LcCk40ft4XchNCOBwNfblRD/p1tlcHY2rqGArruedA65ZUJFLBQowej4fDj oKHayDuoMrtFO3fcKh93cyfqqpDvpTDUYMmpNQEzxVxTqTZWV8qJkRz00mkiwZqZLbe+N4n+ jUmVo8/w8ytrhLG/ODh0yQsMoj1H0wws40XbDezbF/JqdHN18/F6dPOhl00CmPTFHQ+3oqVh f2+rw90tjVf4hYspdN9uJ3IW4KR1L1J8dgST/d8dOSWF/s34Qt5cXl0hmSF2rj5cj9BxpyOr 0xHTNVOr2W3hgo5NyJMpsUAhw7E5DehhoLRNS2FmFm3Jc9it1vmw3P9BrhXcxCS1D492saFW RQHazXzgoJ7K8kyDKpl0wa7rINbI9aIkjbRfD3HBG17kSVVdyZVTSBQOHic9KZSsQ/uwCAet vjes0AvzvldLVIIcN+RmKGQUCnuC3lOMnt4h0nhQmwp1XciLowTpZ3iopajUekmrxUufRsgi K3GOopm5d9uYKQ7WJE4hhA+hAlymH8aUDZlnlPe8MyUWSVmK0WTzfFvOyyB2xEnnkB5jeipx r9ZvZU/DDx1fJCbrcJQNPuk9qoRcP7rqptot9zHKq27x8tp8gCsiHFq1BuOFnLiaEIa2DuXm gZpaHziMqLsNOa/gTVQNlrpH7EpRXaBVqi8aI3pPETsuNWaWxumGlGy7pm7sX3VKBCJUyEpd TJbY5RDt93BPilXKTrx3hTRYgjdBV29hmrGL2JJiqxxvmXFKyQD2gswEtHBZk65f1K+xuyKv dM1baBybO2vXsV3VLsA9PPVNmGpFUDqMxGjDphv7UGudCj498VbXFT+MAectVyGsKeZhn3Yu ZPhUSq3XqgzHAHUz00e+YzV9O5bPSRJ+asyFDowajRW9GVCUBkr/ZqD0PZwuRT7cia8u5h+V gjtywgli9Zm4mMpTnl7pzMRl4hjFbyZOZOTyIZcPufTWcY5D7s94pVMvtfmeKcwUZgrPRyHz F+nL4GXwMnjnAy8deZm6TF2m7gzUJdxwx2l38peWzF/mL/N3Bv6OzDF9icX0JAOYAcwA/scA RuCO2PUnIePHx2EGMAOYATwjgPEVlF9D0/Xa4G6GMn9w5/9QyB/cz/DBPfL3it+xkX7/5yD+ AwAA///sVs1u2zAMfhVB1yFz0gUDatQBkgLBDsFgNLkPtCwnWmRKkOQuydOPku02DdDrsEN0 kCnxz/xImi74lLMD4F7hvuxQhILP+OIJco1bKyLhrShFYK+giTWNi2eLp+yjxEo2t7IPV6Jk 411i2YRRNvje7miS5AZu1T1rtzuRJ8irbnt5I9cGAwtnKxsQsuBLp0BzZlUQhzW0Sp8L/m3O mTiA85KiSaajjZ8GZTIXoNr4kMhaNi+l68OxpYvO+q107Ni1qjW/VUJIE0IFr+VkuePMX8gH hcdZlZi9SFdwJBfEDk4d6dXQbBPF2VE6JPCSigD7JmhF0kfjWtDqIn+kYwVeaoVkgTygKZ0x TaJr5QKFR7e+Dc9aAhmdDsmKr45mrbTuo9GYMDZa1fEyHcRBtpJg7TEPp9mQSH8tJZtGijAC 1G1wQL6LZgZaQ1B4lYQvLU50iNYgl3DDkNAzhL9hCD/4dz3yYcF+xfW+91S6HDZGK4rE+qMq op3yRbuNri07tRp9DgU/hGDzLPMxZPBfjZVIvCYCHejo9lnt4A/VfKszSsv3rAWFCUoqA9aC 28QyeniMSabTS0Jdv1IL0IXCWiKV1mSUAL2nVFAZUj3toNpSfTzO5vOo7EKvI2GDK3eM3cUa KuFlUoEuGM4SnAObVO7dGBN678bUTf9JN6am/NiO91a8D8b47boPxn87GOMkHDtxfNLN54Mx s3k4rUx9pklp6Xdu8RcAAP//AwBQSwMEFAAGAAgAAAAhAOoN/gnVAAAA+QAAAA8AAABkcnMv ZG93bnJldi54bWxEj81OwzAQhO9IfQdrK3GjTgtUUVq3KpGAnEBteYBtvPmBeB3ZpkneHosD HEcz+kbfdj+aTlzJ+dayguUiAUFcWt1yreDj/HyXgvABWWNnmRRM5GG/m91sMdN24CNdT6EW EcI+QwVNCH0mpS8bMugXtieOXWWdwRCjq6V2OES46eQqSdbSYMvxocGe8obKr9O3UZD79dNZ p8X720oP8rGozGeBL0rdzsfDBkSgMfyPH/K0N9Nf+YsqtIJ7ENXrdHGtPqIP5BREt2gaLUHu fgAAAP//AwBQSwECLQAUAAYACAAAACEAWuMRZv4AAADiAQAAEwAAAAAAAAAAAAAAAAAAAAAA W0NvbnRlbnRfVHlwZXNdLnhtbFBLAQItABQABgAIAAAAIQAx3V9h0gAAAI8BAAALAAAAAAAA AAAAAAAAAC8BAABfcmVscy8ucmVsc1BLAQItABQABgAIAAAAIQCMJEfD9wUAAMUwAAAQAAAA AAAAAAAAAAAAACoCAABkcnMvc2hhcGV4bWwueG1sUEsBAi0AFAAGAAgAAAAhAOoN/gnVAAAA +QAAAA8AAAAAAAAAAAAAAAAATwgAAGRycy9kb3ducmV2LnhtbFBLBQYAAAAABAAEAPUAAABR CQAAAAAAABDwCAAAAPADIAFgFRMPDwAR8BwAAAAAAMMLCAAAAP////8TADFpAAAfBAQAAAAD AAAADwAN8OUBAAAAAJ8PBAAAAAEAAAAAAKgPmQEAAFJGQyAxMTU1IC0gU01JDVJGQyAxMTU3 IC0gU05NUA1SRkMgMTIxMiAtIENvbmNpc2UgTUlCIERlZmluaXRpb25zDVJGQyAzNjg4IC0g WE1MIFNjaGVtYQ1SRkMgNDc0MSAtIE5ldGNvbmYNVzNDIE5hbWVzcGFjZXMgaW4gWE1MLCAx OTk5IA1XM0MgWE1MIDEuMCA0dGggRWRpdGlvbiwgMjAwNg08ZHJhZnQtYWxleGFuLWRhdGFt b2QtMDAudHh0Pg08ZHJhZnQtYXRhcmFzaGktbmdvLWNvbnNpZGVyLWFyY2hpdGVjdHVyZS0w MC50eHQ+DTxkcmFmdC1jaGlzaG9sbS1uZXRjb25mLW1vZGVsLTA2LnR4dD4NPGRyYWZ0LW9r aXRhLW5nby1kaWZmc2VydmRhdGFtb2RlbC0wMC50eHQ+DTxkcmFmdC1paWppbWEtbmdvLXZs YW5kYXRhbW9kZWwtMDAudHh0Pg08ZHJhZnQtcm9tYXNjYW51LW5ldGNvbmYtZGF0YXR5cGVz LTAxLnR4dD4AAKEPGgAAAJoBAAAAAAEQCgACAFAABwCaAQAAAAACABYAAACqDw4AAACaAQAA BwAAAAAABwwAABAA8AcgAAAA////AAAAAADu7OEAH0l9AE+BvQDAUE0AAAD/AIAAgAAPAIgT OAAAAA8AihMwAAAAAAC6DxAAAABfAF8AXwBQAFAAVAAxADAAAACLExAAAAAAAOsuCAAAADhr xwFwfD8rAAAiBAgAAAABAAAAAgAAAAAAchdYAAAAAQBQAQAAAAA1EQAAe5IAAHieAABMogAA 3KUAAA61AADuwgAAmNUAAHHiAADw8QAArwgBADEaAQBI9QEA6AUCAC0KAgCcIwIApy4CABw2 AgAHOgIAd04CAAAA9Q8cAAAAAAAAAKYRAAMAAAAAyF0CAAEAAAAVAAAAAQAZAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD+/wAA BgACAAAAAAAAAAAAAAAAAAAAAAABAAAA4IWf8vlPaBCrkQgAKyez2TAAAACo4gAACwAAAAEA AABgAAAAAgAAAGgAAAAEAAAAkAAAAAgAAACsAAAACQAAALwAAAASAAAAyAAAAAoAAADsAAAA DAAAAPgAAAANAAAABAEAAA8AAAAQAQAAEQAAABgBAAACAAAA5AQAAB4AAAAgAAAARGF0YSBN b2RlbGluZyBJRVRGNjggLSBQcmFndWUAAAAeAAAAFAAAAE1pY2hhZWwgQWxleGFuZGVyAAAA HgAAAAgAAABtaWtlAAAAAB4AAAAEAAAAOTMAAB4AAAAcAAAATWljcm9zb2Z0IE9mZmljZSBQ b3dlclBvaW50AEAAAAAAAAAAAAAAAEAAAADQtD0wKWvHAUAAAACAZWO3rGvHAQMAAABEBAAA RwAAAIjhAAD/////AwAAAAgAiRBnDAAAAQAJAAADvHAAAAAAoXAAAAAABQAAAAsCAAAAAAUA AAAMAtACwAMFAAAABwEDAAAAoXAAAEELIADMAHgAoAAAAAAA0ALAAwAAAAAoAAAAoAAAAHgA AAABABgAAAAAAADhAAAAAAAAAAAAAAAAAAAAAAAA//////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////zu//jIylzqWM ///v//////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////zs7e3u/v7+/ezs7OjKXOtYyM zs61jLXOtYyMzs61tc7OjKW1tYyMzs61zu/v/97OjLXejIyM/9613t7vpc7epaWl3rWMtd7/ 3s6lzrXO///vjLXejIyM/961////////td7/3s6lzrXO///vzs7ejLXOtYyMzs61zu/v/97O zt7vjKW1tYyMjLW1tYyMzt7OjKW1tYyMpc7O/961//////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// ////////////////////////////////////////jLXejIyMjIyM3rWMpc7vtYyMzs61jLXO pYyMjKWlzqWMpc7etYyMjLW1jIyM/961zs7etd7v/9613t7v3t7Ozs7v3t7ezs61pbXOzt7O /97Ozs7ezu/v797OjKXO/961zs7epbXOzt7O/97Ozs7ejLXOpYyMjKWljIyM/961////pc7v pYyMjKWlzqWM///vpc7vtYyM3t7O///v//////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////zs7e///v//////// ////////////////////////zu//paWl/97Ozu//jIyljIyMtYyM///e//////////////// ////////////////////////////////7+/v//////////////////////////////////// ////////////7///jKXO/961//////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////zu//3rWltd7/786lzs7e zs7O///vpc7v/961jLXe3rWMjLXetYyMzs61zu/v797OjKXOtYyM3t7O///vpc7v/961jLXe 3rWMjLXejIyM/961zs7ezu/v/97Ozs7etd7v786ljLXetYyMzs61///vjLXe3rWMzs7epc7e 7961jKXOtYyMpc7O/961////////zu//3rWltd7/786lzs7ejLXOtYyMzs61zu/v/97O//// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////3t7/zs7O3t7O3t7ezs7OjLXO786l 3t7v///vjLXe3s6ljKXOzqWMtbXOzu/e/97Opc7vtYyM3t7O///v3t7v///vjLXe786lzs7e zu/v/97OjLXejIyM/961tc7ezrW1zs7ejLW1pYyMjKWl786ljLXe786lzs7e3t7e///vtd7/ zqWl3t7O///v////////3t7/zs7O3t7O3t7ezs7OjLXOpYyMjKWljIyM/961//////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// ////////////////////////////////////zs7ezu/v3rWlzt7/7961////7///jKXO/961 ////////////////pc7ezqWl///v////////jLXe7961jKXO/961//////////////////// ////////////7+/v////////////////////////////////3u/vjKXO/961pc7vzrWMjKXO /961////////zs7ezu/v3rWlzt7/7961//////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////zs7e///v//// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// 3u///+/e//////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// ////////////////////////////////pc7vjIyM786ljLXetYyMjLW1jIyM7961jKXOtYyM zs61///vpc7v/961zs7e3u/v7+/e3s7OjLXetYyMzs61zu/v/97Opc7v/961////////jLXe jIyM/9613t7v///v////3t7vzs7Ozu/v/97O3t7v///vjLXejIyM/961zs7e///vzs7e3u/v 7+/ezs7OjKXOtYyMpc7O/961zs7ejLXOjIyM/961zs7ezu/v/97O7///jKXOtYyMtd7e786l jLXe3rWMpc7v/961jLXetYyMzs613u/v7+/e3s7OjLXe3rWM//////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// ////////////////////////3t7v///vzs7ejLXOpYyMjKWljIyM/961pc7vtYyMjLW1786l 3t7v///vjLXejIyMjIyM3rWMjLXepYyMjKWljIyM/9613t7v///v////////jLXejIyM/961 3t7v///v////3t7vjLXOjIyM/9613t7v///vjLXejIyM/961jLXe786ljLXejIyMjIyM3rWM pc7vtYyM3t7O///vzs7ejLXOjIyM/961jLXejIyM/961////3v//taW1zrW1zs7ejLW1786l 3t7v///vjLXepYyMjKWljIyMjIyM3rWMjLXe786l//////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// ////////////////pc7vjIyM3rWM////////////////////////////////7///jKXO/961 ////////////////////////////////7///jKXO/961////////////////////jLXe/961 ////3t7v///v////////jLXe/961////////////////////////////////////////7/// jKXO/9617+/v////////////////////////////jLXezqWM///v////////7///jKXO/961 //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// ////////////////////////////////////////pc7vjIyM786lzs7e3t7e///v3t7vtd7v 786l3t7vzs7OjLXOtYyMzs61zu/v797OjKXOtYyMjLW1tYyMzs61///v////////7///tc7O taW13s61zs7ejLXOtYyMzs61tc7OjKW1tYyMzs61zu/v/97OjLXejIyM/961jLXetYyMzs61 ///v//////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// ////////////////////////////////3t7v///vzs7ejLXO786l////3t7vzs7Ozs7e3t7O tc7OjKW1zqWMtbXOzu/e/97Opc7vtYyMjLW1pYyMzrWl///v////////////3t7/zu/e/97O zs7ejLXOpYyMjKWlzqWMpc7etYyMjLW1jIyM/961zs7etd7v/961jLXepYyMjKWl786l//// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// ////////////////////////pc7vjIyM3rWM////////////pc7v/9613v//zqW17+/e//// ////pc7ezqWl///v////////////////zs7e///v////////////3v//tYy1///ezs7e///v ////////////////////////////////zu//paWl/97O//////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////5///AGu1AAAA lAAA///O//////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////tc7//+e1 lM7/AAAAtWsA///nlJTO///Otc7//+e1////lM7/AAAAlAAA///Oa7XnAAAAawAA/+e1//// ////////////////////tc7//+e1////////lLXn/+e1AJTOAAAAtWsAa7XOAAAAzpQAlM7/ AAAAawAA/+e1lM7/AAAAlAAA///O//////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////tc7//+e1tc7//+e1 ////////lJTO///Otc7//+e1////lJTO///OlM7//86UlJTO///OlLXn/+e1////////AJTO tWsA///n////lM7/awAA/+e1////lLXn/+e1a7XnAAAAtWsAa7XOAAAA57VrtbXn///Otc7/ /+e1tbXO///n//////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////tc7//+e1lM7/AAAAtWsA///n lJTO///OlM7/AAAAzpQAAJTOAAAAtWsA///ntef/AABr57Vr//////////////////////// ////tc7/5+e1a2u1/+e1a7XnawAAlLW1AAAAtWsAAJS1AAAAlAAAtbW1///Otc7//+e1a7Xn AAAAlAAA///O//////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// ////////////////////////////////////////tc7//+e1lM7/AAAAlGsAAGuUAAAAawAA lLW1AAAAzpQAlM7/AAAAtWsA///na7XnAAAAawAA/+e1////////////////////////lM7/ AAAAAAAA/86U//////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////a7XnAAAAAAAAtWsA///n //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////lJTO///O////a7Xn/86U//////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// ////////////////////////////////////tef/AABrAAAAAAAAzpQA////lM7/AAAAAAAA lAAA///O5///AGu1lAAAlM7OAAAAAAAAlAAA///O////////tef/zpRr////lM7/tWsA///n zv//tWuU///n5///AGu1AAAAlAAA///O5///AGu1AAAAa2sA57WU5///AGu1AAAAAAAA/86U lM7/57VrlM7/57VrlM7/57Vr////lM7/57Vrtef/AABrAAAAlAAA///O//////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// ////////////////////////////tef/zpRr////////AJTO57Vra7Xn/86U5///lGu1///O zv//tWuU///na7Xn/86U5///lGu1///O////////tef/zpRr////a5TOa5SU/86Uzv//tWuU ///na7Xn57Vr////lM7/zpQAlM7/57Vr////lM7/57Vra7Xn/86U////////////lM7/57Vr lM7/57VrlM7/57Vr////lM7/57VrlLXn/+e1//////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// ////////////////////tef/zpRr////////tef/zpRrtef/AABrAAAAlAAA///Ozv//tWuU ///ntef/AABrAAAAlAAA///O////////tef/zpRrtef/tWtrtefnzpRrzv//tWuU///na7Xn /86U////zv//tWuUa7XO/86U////lM7/57Vra7XnAAAAAAAAAAAA57VrlM7/57VrlM7/57Vr lM7/57Vr////lM7/57Vrtef/AABrAAAA57Vr//////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// ////////////tef/zpRr////////tef/zpRr////////5///lGu1///Ozv//tWuU///n//// ////5///lGu1///O////////tef/zpRra7Xn/86U////a5TOzue1tWuU///na7Xn57Vr//// lM7/zpQAlM7/57Vr////lM7/57Vra7Xn57Vr////lM7//86UlM7/57VrlM7/57VrlM7/tWsA ///nlM7/57Vra7Xn/86U5///lGu1///O//////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// ////tef/zpRr////////AJTO57VrlM7/AAAAAAAAzpQA5///AGu1AAAAlAAAlM7OAAAAAAAA zpQA////////////tef/lJRrtWuU///n////tef/tbWUtWuU///n5///AGu1AAAAawAA/+e1 5///AGu1AAAAAAAA57Vr5///AGu1AAAAtWsA///nlM7/57VrlM7/57VrlM7/lJRrAABrawAA /+e1tef/AABrAAAAAAAA57Vr//////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////tef/ AABrAAAAAAAAzpQA////////////////////////zv//tWuU///n//////////////////// ////////tef/AABr57Vr////////5///AGu1tWsA///n//////////////////////////// ////lM7/57Vr////////////////////lM7/57Vr//////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////lM7/ 57Vr////////////////////lM7/57VrlM7/zpQA//////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// ////////////////AwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD+/wAABgACAAAA AAAAAAAAAAAAAAAAAAABAAAAAtXN1ZwuGxCTlwgAKyz5rjAAAAAoAwAADwAAAAEAAACAAAAA AwAAAIgAAAAEAAAAqAAAAAYAAACwAAAABwAAALgAAAAIAAAAwAAAAAkAAADIAAAACgAAANAA AAAXAAAA2AAAAAsAAADgAAAAEAAAAOgAAAATAAAA8AAAABYAAAD4AAAADQAAAAABAAAMAAAA zwIAAAIAAADkBAAAHgAAABgAAABPbi1zY3JlZW4gU2hvdyAoNDozKQAAAAADAAAAfaYEAAMA AAC1AAAAAwAAABMAAAADAAAAAAAAAAMAAAAAAAAAAwAAAAAAAAADAAAAAAAMAAsAAAAAAAAA CwAAAAAAAAALAAAAAAAAAAsAAAAAAAAAHhAAABYAAAAGAAAAQXJpYWwACAAAAENhbGlicmkA DQAAAE9mZmljZSBUaGVtZQAeAAAARGF0YSBNb2RlbGluZyBJRVRGNjggLSBQcmFndWUABwAA AEFnZW5kYQAKAAAAQWdlbmRhIElJAAoAAABVc2UgQ2FzZXMADQAAAFVzZSBDYXNlcyBJSQAS AAAAUHJvYmxlbSBTdGF0ZW1lbnQAFQAAAFByb2JsZW0gU3RhdGVtZW50IElJABcAAABCYWNr d2FyZCBDb21wYXRpYmlsaXR5ACEAAABJbmRlcGVuZGVuY2UgZnJvbSBBY2Nlc3MgTWV0aG9k cwAOAAAAU2NvcGU6IENvcmUgSQAPAAAAU2NvcGU6IENvcmUgSUkAEQAAAFNjb3BlOiBTZWNv bmRhcnkADgAAAE5PVCBpbiBTY29wZSAAJAAAAFJlcXVpcmVtZW50cyBvbiBPdGhlcnMtRGVw ZW5kZW5jaWVzABgAAABBcHByb2FjaCBUYWxraW5nIFBvaW50cwATAAAAUHJvY2Vzcy1DeWNs ZSBUaW1lAAsAAABPcGVuIEl0ZW1zAA4AAABUb3dhcmRzIGEgQk9GAAsAAABSZWZlcmVuY2Vz AAwQAAAGAAAAHgAAAAsAAABGb250cyBVc2VkAAMAAAACAAAAHgAAAAYAAABUaGVtZQADAAAA AQAAAB4AAAANAAAAU2xpZGUgVGl0bGVzAAMAAAATAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD2DxwAAAAUAAAAX8CR4yhe AgAEAPQDAwAAAG1pa2UIAAAAbQBpAGsAZQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEAAAACAAAAAwAAAAQAAAAFAAAABgAAAAcA AAAIAAAACQAAAAoAAAALAAAADAAAAA0AAAAOAAAADwAAABAAAAARAAAAEgAAABMAAAAUAAAA FQAAABYAAAAXAAAAGAAAABkAAAAaAAAAGwAAABwAAAAdAAAAHgAAAB8AAAAgAAAAIQAAACIA AAAjAAAAJAAAACUAAAAmAAAAJwAAACgAAAApAAAAKgAAACsAAAAsAAAALQAAAC4AAAAvAAAA MAAAADEAAAAyAAAAMwAAADQAAAA1AAAANgAAADcAAAA4AAAAOQAAADoAAAA7AAAAPAAAAD0A AAA+AAAAPwAAAEAAAABBAAAAQgAAAEMAAABEAAAARQAAAEYAAABHAAAASAAAAEkAAABKAAAA SwAAAEwAAABNAAAATgAAAE8AAABQAAAAUQAAAFIAAABTAAAAVAAAAFUAAABWAAAAVwAAAFgA AABZAAAAWgAAAFsAAABcAAAAXQAAAF4AAABfAAAAYAAAAGEAAABiAAAAYwAAAGQAAABlAAAA ZgAAAGcAAABoAAAAaQAAAGoAAABrAAAAbAAAAG0AAABuAAAAbwAAAHAAAABxAAAAcgAAAHMA AAB0AAAAdQAAAHYAAAB3AAAAeAAAAHkAAAB6AAAAewAAAHwAAAB9AAAAfgAAAH8AAACAAAAA gQAAAIIAAACDAAAAhAAAAIUAAACGAAAAhwAAAIgAAACJAAAAigAAAIsAAACMAAAAjQAAAI4A AACPAAAAkAAAAJEAAACSAAAAkwAAAJQAAACVAAAAlgAAAJcAAACYAAAAmQAAAJoAAACbAAAA nAAAAJ0AAACeAAAAnwAAAKAAAAChAAAAogAAAKMAAACkAAAApQAAAKYAAACnAAAAqAAAAKkA AACqAAAAqwAAAKwAAACtAAAArgAAAK8AAACwAAAAsQAAALIAAACzAAAAtAAAALUAAAC2AAAA twAAALgAAAC5AAAAugAAALsAAAC8AAAAvQAAAL4AAAC/AAAAwAAAAMEAAADCAAAAwwAAAMQA AADFAAAAxgAAAMcAAADIAAAAyQAAAMoAAADLAAAAzAAAAM0AAADOAAAAzwAAANAAAADRAAAA 0gAAANMAAADUAAAA1QAAANYAAADXAAAA2AAAANkAAADaAAAA2wAAANwAAADdAAAA3gAAAN8A AADgAAAA4QAAAOIAAADjAAAA5AAAAOUAAADmAAAA5wAAAOgAAADpAAAA6gAAAOsAAADsAAAA 7QAAAO4AAADvAAAA8AAAAPEAAADyAAAA8wAAAPQAAAD1AAAA9gAAAPcAAAD4AAAA+QAAAPoA AAD7AAAA/AAAAP0AAAD+AAAA/wAAAAABAAABAQAAAgEAAAMBAAAEAQAABQEAAAYBAAAHAQAA CAEAAAkBAAAKAQAACwEAAAwBAAANAQAADgEAAA8BAAAQAQAAEQEAABIBAAATAQAAFAEAABUB AAAWAQAAFwEAABgBAAAZAQAAGgEAABsBAAAcAQAAHQEAAB4BAAAfAQAAIAEAACEBAAAiAQAA IwEAACQBAAD+////JgEAACcBAAAoAQAAKQEAACoBAAArAQAALAEAAC0BAAAuAQAALwEAADAB AAAxAQAAMgEAADMBAAA0AQAANQEAADYBAAA3AQAAOAEAADkBAAA6AQAAOwEAADwBAAA9AQAA PgEAAD8BAABAAQAAQQEAAEIBAABDAQAARAEAAEUBAABGAQAARwEAAEgBAABJAQAASgEAAEsB AABMAQAATQEAAE4BAABPAQAAUAEAAFEBAABSAQAAUwEAAFQBAABVAQAAVgEAAFcBAABYAQAA WQEAAFoBAABbAQAAXAEAAF0BAABeAQAAXwEAAGABAABhAQAAYgEAAGMBAABkAQAAZQEAAGYB AABnAQAAaAEAAGkBAABqAQAAawEAAGwBAABtAQAAbgEAAG8BAABwAQAAcQEAAHIBAABzAQAA dAEAAHUBAAB2AQAAdwEAAHgBAAB5AQAAegEAAHsBAAB8AQAAfQEAAH4BAAB/AQAAgAEAAIEB AACCAQAAgwEAAIQBAACFAQAAhgEAAIcBAACIAQAAiQEAAIoBAACLAQAAjAEAAI0BAACOAQAA jwEAAJABAACRAQAAkgEAAJMBAACUAQAAlQEAAJYBAACXAQAAmAEAAJkBAACaAQAAmwEAAJwB AACdAQAAngEAAJ8BAACgAQAAoQEAAKIBAACjAQAApAEAAKUBAACmAQAApwEAAKgBAACpAQAA qgEAAKsBAACsAQAArQEAAK4BAACvAQAAsAEAALEBAACyAQAAswEAALQBAAC1AQAAtgEAALcB AAC4AQAAuQEAALoBAAC7AQAAvAEAAL0BAAC+AQAAvwEAAMABAADBAQAAwgEAAMMBAADEAQAA xQEAAMYBAADHAQAAyAEAAMkBAADKAQAAywEAAMwBAADNAQAAzgEAAM8BAADQAQAA0QEAANIB AADTAQAA1AEAANUBAADWAQAA1wEAANgBAADZAQAA2gEAANsBAADcAQAA3QEAAN4BAADfAQAA 4AEAAOEBAADiAQAA4wEAAOQBAADlAQAA5gEAAOcBAADoAQAA6QEAAOoBAADrAQAA7AEAAO0B AADuAQAA7wEAAPABAADxAQAA8gEAAPMBAAD0AQAA9QEAAPYBAAD3AQAA+AEAAPkBAAD6AQAA +wEAAPwBAAD9AQAA/gEAAP8BAAAAAgAAAQIAAAICAAADAgAABAIAAAUCAAAGAgAABwIAAAgC AAAJAgAACgIAAAsCAAAMAgAADQIAAA4CAAAPAgAAEAIAABECAAASAgAAEwIAABQCAAAVAgAA FgIAABcCAAAYAgAAGQIAABoCAAAbAgAAHAIAAB0CAAAeAgAAHwIAACACAAAhAgAAIgIAACMC AAAkAgAAJQIAACYCAAAnAgAAKAIAACkCAAAqAgAAKwIAACwCAAAtAgAALgIAAC8CAAAwAgAA MQIAADICAAAzAgAANAIAADUCAAA2AgAANwIAADgCAAA5AgAAOgIAADsCAAA8AgAAPQIAAD4C AAA/AgAAQAIAAEECAABCAgAAQwIAAEQCAABFAgAARgIAAEcCAABIAgAASQIAAEoCAABLAgAA TAIAAE0CAABOAgAATwIAAFACAABRAgAAUgIAAFMCAABUAgAA/v///1YCAABXAgAAWAIAAFkC AABaAgAAWwIAAFwCAABdAgAAXgIAAF8CAABgAgAAYQIAAGICAABjAgAAZAIAAGUCAABmAgAA ZwIAAGgCAABpAgAAagIAAGsCAABsAgAAbQIAAG4CAABvAgAAcAIAAHECAAByAgAAcwIAAHQC AAB1AgAAdgIAAHcCAAB4AgAAeQIAAHoCAAB7AgAAfAIAAH0CAAB+AgAAfwIAAIACAACBAgAA ggIAAIMCAACEAgAAhQIAAIYCAACHAgAAiAIAAIkCAACKAgAAiwIAAIwCAACNAgAAjgIAAI8C AACQAgAAkQIAAJICAACTAgAAlAIAAJUCAACWAgAAlwIAAJgCAACZAgAAmgIAAJsCAACcAgAA nQIAAJ4CAACfAgAAoAIAAKECAACiAgAAowIAAKQCAAClAgAApgIAAKcCAACoAgAAqQIAAKoC AACrAgAArAIAAK0CAACuAgAArwIAALACAACxAgAAsgIAALMCAAC0AgAAtQIAALYCAAC3AgAA uAIAALkCAAC6AgAAuwIAALwCAAC9AgAAvgIAAL8CAADAAgAAwQIAAMICAADDAgAAxAIAAMUC AADGAgAA/v///8gCAADJAgAAygIAAMsCAADMAgAAzQIAAM4CAAD+////0AIAANECAADSAgAA 0wIAANQCAADVAgAA1gIAAP7////9/////f////3////9/////f////3////eAgAA/v////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// /////////////////////////////1IAbwBvAHQAIABFAG4AdAByAHkAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAWAAUB//////////8DAAAAEI2BZJtP zxGG6gCqALkp6AAAAAAAAAAAAAAAAAAAAAAAAAAA/v///wAAAAAAAAAAUABpAGMAdAB1AHIA ZQBzAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABIA AgH///////////////8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA MUgCAAAAAABDAHUAcgByAGUAbgB0ACAAVQBzAGUAcgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAGgACAQEAAAD//////////wAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAM8CAAAAEAAAAAAAAAUAUwB1AG0AbQBhAHIAeQBJAG4AZgBvAHIA bQBhAHQAaQBvAG4AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAoAAIBAgAAAAUAAAD///// AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAVQIAANjiAAAAAAAAUABvAHcA ZQByAFAAbwBpAG4AdAAgAEQAbwBjAHUAbQBlAG4AdAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAACgAAgH///////////////8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAlAQAATF4CAAAAAAAFAEQAbwBjAHUAbQBlAG4AdABTAHUAbQBtAGEAcgB5AEkAbgBmAG8A cgBtAGEAdABpAG8AbgAAAAAAAAAAAAAAOAACAQQAAAD//////////wAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAMcCAAAAEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA//////// ////////AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAD///////////////8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAA= --------------080409060000040601070802-- Received: from smtp-mclean.mitre.org (smtp-mclean.mitre.org [192.80.55.71]) by bierator.ibr.cs.tu-bs.de (8.13.4/8.13.4/Debian-3sarge3) with ESMTP id l2LBEaBJ019297 for ; Wed, 21 Mar 2007 12:14:41 +0100 Received: from smtp-mclean.mitre.org (localhost.localdomain [127.0.0.1]) by smtp-mclean.mitre.org (8.12.11.20060308/8.12.11) with SMTP id l2LBEZpx022912 for ; Wed, 21 Mar 2007 07:14:35 -0400 Received: from smtp-mclean.mitre.org (localhost.localdomain [127.0.0.1]) by smtp-mclean.mitre.org (Postfix) with ESMTP id 50DF61BD7A for ; Wed, 21 Mar 2007 07:14:35 -0400 (EDT) Received: from imcfe2.MITRE.ORG (imcfe2.mitre.org [129.83.29.4]) by smtp-mclean.mitre.org (8.12.11.20060308/8.12.11) with ESMTP id l2LBEZRX022909; Wed, 21 Mar 2007 07:14:35 -0400 Received: from IMCSRV2.MITRE.ORG ([129.83.20.164]) by imcfe2.MITRE.ORG with Microsoft SMTPSVC(6.0.3790.1830); Wed, 21 Mar 2007 07:14:34 -0400 X-MimeOLE: Produced By Microsoft Exchange V6.5 Content-class: urn:content-classes:message MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="----_=_NextPart_001_01C76BAA.1AAF36D6" Date: Wed, 21 Mar 2007 07:14:46 -0400 Message-ID: <4915F014FDD99049A9C3A8C1B832004F01B2737C@IMCSRV2.MITRE.ORG> In-Reply-To: <46006EA2.70902@wu-wien.ac.at> X-MS-Has-Attach: yes X-MS-TNEF-Correlator: Thread-Topic: Wed Mini-BOF G, "MIBs to SOA/WS resource models" presentation Thread-Index: AcdrSAq05QGh4lmzS7C9d8Qn/KCG7QAYR9IA References: <46006EA2.70902@wu-wien.ac.at> From: "Natale, Bob" To: , X-OriginalArrivalTime: 21 Mar 2007 11:14:34.0972 (UTC) FILETIME=[1B48D9C0:01C76BAA] X-Scanned-By: MIMEDefang 2.51 on 134.169.34.9 X-Mailman-Approved-At: Sun, 25 Mar 2007 19:16:10 +0200 Subject: [nmrg] Wed Mini-BOF G, "MIBs to SOA/WS resource models" presentation X-BeenThere: nmrg@ibr.cs.tu-bs.de X-Mailman-Version: 2.1.5 Precedence: list List-Id: Network Management Research Group List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Wed, 21 Mar 2007 11:14:42 -0000 This is a multi-part message in MIME format. ------_=_NextPart_001_01C76BAA.1AAF36D6 Content-Type: text/plain; charset="us-ascii" Content-Transfer-Encoding: quoted-printable Hi, Apologies for the late posting. These are the slides to be discussed during the OPS Area Mini-BOF G this afternoon. [Dan/Dave, please post the session presentations page...I could not find instructions for doing this myself.] Cheers, BobN ------_=_NextPart_001_01C76BAA.1AAF36D6 Content-Type: application/vnd.ms-powerpoint; name="Converting SNMP MIBs to SOA-WS Resource Models.ppt" Content-Transfer-Encoding: base64 Content-Description: Converting SNMP MIBs to SOA-WS Resource Models.ppt Content-Disposition: attachment; filename="Converting SNMP MIBs to SOA-WS Resource Models.ppt" 0M8R4KGxGuEAAAAAAAAAAAAAAAAAAAAAPgADAP7/CQAGAAAAAAAAAAAAAAACAAAAkgAAAAAAAAAA EAAAlAAAAAEAAAD+////AAAAAJkAAACTAAAA//////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////8P AOgDKigAAAEA6QMoAAAAgBYAAOAQAADgEAAAgBYAAAUAAAAKAAAACQAAAAAAAAABAAAAAAEAAQ8A 8gNKAgAALwDIDwwAAAAwANIPBAAAAAEAAAAPANUHfAEAAAAAtw9EAAAAQQByAGkAYQBsAAAAbgBk AAAAAABSAG8AbQBhAG4AAABMqRMATKkTAJR0+gHUlhMALWEUMNSWEwAAAAAADwDVBwAABiIQALcP RAAAAFYAZQByAGQAYQBuAGEAAAAAAAAAUgBvAG0AYQBuAAAATKkTAEypEwCUdPoB1JYTAC1hFDDU lhMAAAAAAA8A1QcAAAYiIAC3D0QAAABUAGkAbQBlAHMAIABOAGUAdwAgAFIAbwBtAGEAbgAAAEyp EwBMqRMAlHT6AdSWEwAtYRQw1JYTAAAAAAAPANUHAAAGEjAAtw9EAAAAVwBpAG4AZwBkAGkAbgBn AHMAAABSAG8AbQBhAG4AAABMqRMATKkTAJR0+gHUlhMALWEUMNSWEwAAAAAADwDVBwIABgJAALcP RAAAAEcAYQByAGEAbQBvAG4AZAAAAAAAUgBvAG0AYQBuAAAATKkTAEypEwCUdPoB1JYTAC1hFDDU lhMAAAAAAA8A1QcAAAYSAACkDwgAAACAAEAAAAD//wAApQ8SAAAAAAAwCC4AAgAAAAAAAAAHAAAA AACpDwoAAAAHAAAAAgAJBAAAQACjD24AAAAFAP/9PwAAACIgAABkAAAAAP8AAGQAAAAAAAAAAABA AgAAAAAHAAAA///vAAAAAAD///////8SAAAAAAEAAAAFAAAgASABAAAAAAAFAABAAkACAAAAAAAF AABgA2ADAAAAAAAFAACABIAEAAAAAA8ACwQ4AQAADwAA8DABAAAAAAbwsAAAAAZQAAAVAAAAzgAA ABAAAAAAAAAABwAAAAIAAAAKAAAAAAAAAAQAAAAEAAAACQAAAAUAAAAJAAAABgAAAAQAAAAHAAAA BAAAAAgAAAAGAAAACQAAAHIAAAAAAAAABAAAAAsAAAAIAAAADAAAAAQAAAANAAAABAAAAA4AAAAO AAAADwAAAAgAAAAQAAAAbQAAAAAAAAAEAAAAEgAAAAQAAAATAAAABAAAABQAAAAGAAAAgwAL8DAA AACBAQQAAAiDAQAAAAiGQQAAAAC/ARAAEADAAQEAAAjFQQAAAAD/AQgACAABAgIAAAiAABrxIAAA AAAzAAD/MwAAAADMAABmAAD///8A/rsAAP/BEQD/yS8AQAAe8RAAAAD/////AADMAAIAAAj3AAAQ HwDwDzgAAAAAAPMDFAAAAAIAAAAEAAAAAAAAAAEAAIAAAAAAAADzAxQAAAADAAAABAAAAAAAAAAC AACAAAAAAA8A0Ad3AQAAHwAUBBwAAAAAABUEFAAAALqTsPYAypo7rQeUxwDKmjsAAgAADwD6A2cA AAAAAP4DAwAAAAABAAAA/QM0AAAATgAAAGQAAABOAAAAZAAAAAAAAABkkvoB7JYTAC1hFDAAAAAA AAAAAAz9//+s////AQATAHAA+wMIAAAAAAAAAHAIAABwAPsDCAAAAAEAAABACwAAHwATBDwAAAAA AP0DNAAAAGQAAABkAAAAZAAAAGQAAAAYlxMAKSkUMEypEwBwdPoBAAAAAAAAAAAAAAAAAAAAAAAB EwAfAP8DFAAAAAIAAAQMAAAAAAAAAAAAAAACAAAAHwAIBDwAAAAAAP0DNAAAAEIAAABkAAAAQgAA AGQAAAACAAAAGJcTAEsqFDBMqRMAAAAAAAAAAAAAAAAAAAAAAAAAEwAPAIgTOAAAAA8AihMwAAAA AAC6DxAAAABfAF8AXwBQAFAAVAAxADAAAACLExAAAAAAAA0ECAAAAADAAAAAwAAAPwDZD5AAAAAA ANoPBAAAAAAALQAAALoPGgAAADEAOQAtAE0AYQByAGMAaAAtADIAMAAwADcAIAC6D1oAAABOAGEA dABhAGwAZQAgAC0AIABJAEUAVABGACAANgA4ACAALQAgAFAAcgBhAGcAdQBlACAALQAgAE8AcABz ACAAQQByAGUAYQAgAE0AaQBuAGkALQBCAE8ARgBPANkPDAAAAAAA2g8EAAAADQA9AA8A8A/tIQAA AADzAxQAAAAEAAAABAAAAAIAAAAAAQAAAAAAAAAAnw8EAAAABgAAAAAAqA+MAAAARGV2ZWxvcG1l bnQgb2YgYSBTdGFuZGFyZCBNZXRob2RvbG9neSBmb3IgQ29udmVydGluZyBTTk1QIE1JQnMgdG8g UmVzb3VyY2UgTW9kZWxzIGZvciB0aGUgU09BL1dlYiBTZXJ2aWNlcyBNYW5hZ2VtZW50IEVudmly b25tZW50IChNSUIyUk1ETCkAAKEPFAAAAI0AAAAAAAAAAACNAAAAAAACABgAAACqDxoAAAA6AAAA AAAAAAQAAAABAAAAAwBPAAAAAAAAABAAnw8EAAAABQAAAAAAoA+EAAAAQgBvAGIAIABOAGEAdABh AGwAZQAgACgAcgBuAGEAdABhAGwAZQBAAG0AaQB0AHIAZQAuAG8AcgBnACkAIAAtACAASQBFAFQA RgAgADYAOAAgABMgIABQAHIAYQBnAHUAZQAgAC0AIABNAGEAcgBjAGgAIAAyADEALAAgADIAMAAw ADcAAAChDxQAAABDAAAAAAAAAAAAQwAAAAAAAgAOAAAAqg8aAAAADAAAAAAAAAARAAAAAQAAAAMA JgAAAAAAAAAAAPMDFAAAAAUAAAAAAAAAAgAAAAEBAAAAAAAAAACfDwQAAAAAAAAAAACoDwYAAABB Z2VuZGEQAJ8PBAAAAAEAAAAAAKgPdwAAAFByb2JsZW0vT3Bwb3J0dW5pdHkgRGVzY3JpcHRpb24N UG90ZW50aWFsIEJlbmVmaWNpYXJpZXMgJiBCZW5lZml0cw1CYWNrZ3JvdW5kDVByb3Bvc2FsDUNv bW1lbnRzIFJlY2VpdmVkDU5leHQgU3RlcHMNUSZBAADzAxQAAAAKAAAAAAAAAAIAAAAFAQAAAAAA AAAAnw8EAAAAAAAAAAAAqA8jAAAAUHJvYmxlbS9PcHBvcnR1bml0eSBEZXNjcmlwdGlvbiAtIDEQ AJ8PBAAAAAEAAAAAAKAPXgQAAFQAaABlACAAUwBPAEEALwBXAFMAIABtAGEAbgBhAGcAZQBtAGUA bgB0ACAAYwBvAG0AbQB1AG4AaQB0AHkAIABsAGEAYwBrAHMAIABhACAAYwByAGkAdABpAGMAYQBs ACAAbQBhAHMAcwAgAG8AZgAgAHMAdABhAG4AZABhAHIAZABpAHoAZQBkACAAZABhAHQAYQAgAG0A bwBkAGUAbABzACAAaQBuACAAYQBwAHAAcgBvAHAAcgBpAGEAdABlACAAZgBvAHIAbQBhAHQAcwAg AHQAbwAgAGQAZQBsAGkAdgBlAHIAIABhAGMAYwBlAHAAdABhAGIAbABlACAAcwBvAGwAdQB0AGkA bwBuAHMAIAB0AG8AIAB0AGgAZQAgACgAdwBhAGkAdABpAG4AZwApACAAdQBzAGUAcgAgAGMAbwBt AG0AdQBuAGkAdAB5AC4ADQBUAGgAZQAgAGUAeABpAHMAdABpAG4AZwAgAGIAbwBkAHkAIABvAGYA IABJAEUAVABGACAAUwBOAE0AUAAgAE0ASQBCAHMAIABjAGEAbgAgAGYAaQBsAGwAIABhACAAbQBh AGoAbwByACAAcABvAHIAdABpAG8AbgAgAG8AZgAgAHQAaABlACAAZwBhAHAAIAB2AGUAcgB5ACAA cQB1AGkAYwBrAGwAeQAgAGkAZgAgAGMAbwBuAHYAZQByAHQAZQBkACAAdABvACAAYQBwAHAAcgBv AHAAcgBpAGEAdABlACAAUwBPAEEALwBXAFMAIAAcIHIAZQBzAG8AdQByAGMAZQAgAG0AbwBkAGUA bAAdICAAYQByAHQAaQBmAGEAYwB0AHMALgANAFQAaABlACAASQBFAFQARgAgAHMAaABvAHUAbABk ACAAdABhAGsAZQAgAHQAaABlACAAbABlAGEAZAAgAGkAbgAgAHMAdABhAG4AZABhAHIAZABpAHoA aQBuAGcAIAB0AGgAZQAgAG0AZQB0AGgAbwBkAG8AbABvAGcAeQAgAGYAbwByACAAYwBvAG4AdgBl AHIAdABpAG4AZwAgAFMATgBNAFAAIABNAEkAQgBzACAAdABvACAAUwBPAEEALwBXAFMAIAByAGUA cwBvAHUAcgBjAGUAIABtAG8AZABlAGwAIABhAHIAdABpAGYAYQBjAHQAcwAuAA0AVABoAGUAIABJ AEUAVABGACAAbQBpAGcAaAB0ACAAYQBsAHMAbwAgAGMAbwBuAHMAaQBkAGUAcgAgAG0AYQBrAGkA bgBnACAAcgBlAGYAZQByAGUAbgBjAGUAIABpAG0AcABsAGUAbQBlAG4AdABhAHQAaQBvAG4AIAB0 AG8AbwBsAHMAIABmAHIAZQBlAGwAeQAgAGEAdgBhAGkAbABhAGIAbABlACAAKABpAG4AIABhACAA bQBhAG4AbgBlAHIAIABzAGkAbQBpAGwAYQByACAAdABvACAAeABtAGwAMgByAGYAYwApAC4AAACh D0IAAAAwAgAAAAAAEAAAUABHAQAAAAACABgABgAAAAQAAgAEABgAdgAAAAAAAgAYAAUAAAAEAAIA BAAYAGgAAAAAAAIAGAAAAKoPLAAAAMkAAAAAAAAABAAAAAEAAAADAMQAAAAAAAAABAAAAAEAAAAD AJsAAAAAAAAAAADzAxQAAAAIAAAABAAAAAEAAAAEAQAAAAAAAAAAnw8EAAAAAAAAAAAAqA8hAAAA SWxsdXN0cmF0aW9uIG9mIHRoZSBQcm9ibGVtIFNwYWNlAADzAxQAAAAGAAAAAAAAAAIAAAACAQAA AAAAAAAAnw8EAAAAAAAAAAAAqA8kAAAAUHJvYmxlbSAvT3Bwb3J0dW5pdHkgRGVzY3JpcHRpb24g LSAyEACfDwQAAAABAAAAAACgD0gFAABFAG0AZQByAGcAaQBuAGcAIABTAE8AQQAvAFcAUwAgAG0A YQBuAGEAZwBlAG0AZQBuAHQAIABzAG8AbAB1AHQAaQBvAG4AcwAgAGYAYQBjAGUAIABzAG8AbQBl ACAAbQBhAGoAbwByACAAbgBlAGEAcgAtAHQAZQByAG0AIABsAGkAbQBpAHQAYQB0AGkAbwBuAHMA OgANAEwAYQBjAGsAIABvAGYAIABzAHQAYQBuAGQAYQByAGQAaQB6AGUAZAAgABwgcgBlAHMAbwB1 AHIAYwBlACAAbQBvAGQAZQBsAHMAHSAsACAAZQBzAHAALgAgAGYAbwByACAAbgBvAGQAZQAgAGEA bgBkACAAbgBlAHQAdwBvAHIAawAgAG0AYQBuAGEAZwBlAG0AZQBuAHQALgANAEwAaQB0AHQAbABl ACAAZABlAHMAaQByAGUAIABhAG0AbwBuAGcAIAB2AGUAbgBkAG8AcgBzACAAdABvACAAaQBuAGMA bwByAHAAbwByAGEAdABlACAAUwBOAE0AUAAgAGkAbgB0AG8AIAB0AGgAZQBpAHIAIABwAHIAbwBk AHUAYwB0AHMALgANAFMAdAByAG8AbgBnACAAZABlAHMAaQByAGUAIABhAG0AbwBuAGcAIABvAHAA ZQByAGEAdABvAHIAcwAgAGYAbwByACAAYQAgAHUAbgBpAGYAaQBlAGQAIABtAGEAbgBhAGcAZQBt AGUAbgB0ACAAcwBvAGwAdQB0AGkAbwBuACwAIABlAG0AYQBuAGEAdABpAG4AZwAgAGYAcgBvAG0A IAB0AGgAZQAgAHMAZQByAHYAaQBjAGUAIABtAGEAbgBhAGcAZQBtAGUAbgB0ACAAcABlAHIAcwBw AGUAYwB0AGkAdgBlAC4ADQBUAGgAZQAgAGUAeABpAHMAdABpAG4AZwAgACgAYQBuAGQAIABmAHUA dAB1AHIAZQApACAAYgBvAGQAeQAgAG8AZgAgAFMATgBNAFAAIABNAEkAQgBzACAAaQBzACAAYQBu ACAAdQBuAGUAcQB1AGEAbABsAGUAZAAgAHMAZQB0ACAAbwBmACAAcAByAG8AdgBlAG4AIABkAGEA dABhACAAbQBvAGQAZQBsAHMAIABmAG8AcgAgAG4AbwBkAGUALAAgAG4AZQB0AHcAbwByAGsALAAg AGEAbgBkACAAYQBwAHAAbABpAGMAYQB0AGkAbwBuACAAbQBhAG4AYQBnAGUAbQBlAG4AdAAuAA0A TQBhAG4AYQBnAGUAZAAgAG8AYgBqAGUAYwB0ACAAaQBuAHMAdAByAHUAbQBlAG4AdABhAHQAaQBv AG4AIABzAHUAcABwAG8AcgB0AGUAZAAgAGIAeQAgAHQAaABvAHMAZQAgAFMATgBNAFAAIABNAEkA QgBzACAAYwBhAG4AIABiAGUAIABtAGEAZABlACAAbQBvAHIAZQAgAHIAZQBhAGQAaQBsAHkAIABh AGMAYwBlAHMAcwBpAGIAbABlACAAdABvACAAUwBPAEEALwBXAFMAIABtAGEAbgBhAGcAZQBtAGUA bgB0ACAAcwBvAGwAdQB0AGkAbwBuAHMAIABhAHQAIAByAGUAbABhAHQAaQB2AGUAbAB5ACAAbABp AHQAdABsAGUAIABjAG8AcwB0ACAAYQBuAGQAIAB3AGkAdABoACAAcwB1AGIAcwB0AGEAbgB0AGkA YQBsACAAYgBlAG4AZQBmAGkAdAAgAHQAbwAgAGEAbABsACAAcwB0AGEAawBlAGgAbwBsAGQAZQBy AHMALgANAAAAoQ+iAAAATAAAAAAAABAAAFAABwEAAAEAABAAAFAAUQEAAAAAABAAAFAAAQAAAAEA ABAAAFAATAAAAAAAAgAYANQAAAAAAAIAFAAxAAAABAACAAQAFAACAAAAAAACABQASwAAAAAEAgAA BBgACwAAAAQEAgAEBBgAPwAAAAAEAgAABBgADwAAAAQEAgAEBBgArQAAAAAEAgAABBgAAQAAAAAI AgAACBQAAACqDywAAAB6AQAAAAAAAAQAAAABAAAAAwCSAAAAAAAAAAQAAAABAAAAAwCRAAAAAAAA AAAA8wMUAAAADgAAAAQAAAABAAAACQEAAAAAAAAAAJ8PBAAAAAAAAAAAAKgPJgAAAElsbHVzdHJh dGlvbiBvZiB0aGUgVGFyZ2V0IEVudmlyb25tZW50AADzAxQAAAALAAAAAAAAAAIAAAAGAQAAAAAA AAAAnw8EAAAAAAAAAAAAqA8iAAAAUG90ZW50aWFsIEJlbmVmaWNpYXJpZXMgJiBCZW5lZml0cxAA nw8EAAAAAQAAAAAAqA8EAgAAU09BL1dTIE1hbmFnZW1lbnQgdmVuZG9ycw1Nb3JlIGFwcGVhbGlu ZyBwcm9kdWN0cyB0byBvZmZlcg1ObyBuZWVkIHRvIHJlaW52ZW50IHRoZSB3aGVlbCB3cnQgU05N UCBNSUIgZGF0YSBtb2RlbHMgb3IgaW5zdHJ1bWVudGF0aW9uDVNOTVAtbWFuYWdlZCBlcXVpcG1l bnQgdmVuZG9ycw1Ccm9hZGVyIG1hcmtldCBmb3IgZXhpc3RpbmcgcHJvZHVjdHMgdy9vIGNvZGUg Y2hhbmdlcw1TTk1QIE1hbmFnZW1lbnQgdmVuZG9ycw1TdXBwbHkgV1MvU05NUCBwcm94eSBzb2x1 dGlvbg1FdmVudHVhbGx5IHN1cHBseSBTT0EvV1MgaW5zdHJ1bWVudGF0aW9uIGluIGV4aXN0aW5n IFNOTVAtbWFuYWdlZCBORVAgcHJvZHVjdHMNU09BL1dTIE1hbmFnZW1lbnQgdXNlciBjb21tdW5p dHkNTW9yZSB1bmlmaWVkIG1hbmFnZW1lbnQgc29sdXRpb25zIGZyb20gdGhlIHNlcnZpY2UgbGF5 ZXINRmV3ZXIgZGlzdGluY3QgbWFuYWdlbWVudCB0b29scyB0byBoYXZlIHRvIHB1cmNoYXNlLCBv cGVyYXRlLCBhbmQgY29ycmVsYXRlAAChD7wAAAAaAAAAAAAAEAAAUABrAAAAAQAAEAAAUAAfAAAA AAAAEAAAUAA2AAAAAQAAEAAAUAAYAAAAAAAAEAAAUABtAAAAAQAAEAAAUAAhAAAAAAAAEAAAUACF AAAAAQAAEAAAUAAaAAAAAAACABgAawAAAAAAAgAUAB8AAAAABAIAAAQYADYAAAAABAIAAAQUABgA AAAACAIAAAgYAG0AAAAACAIAAAgUACEAAAAADAIAAAwYAIUAAAAAEAIAABAUAAAA8wMUAAAABwAA AAQAAAACAAAAAwEAAAAAAAAAAJ8PBAAAAAAAAAAAAKAPRgAAAEIAYQBjAGsAZwByAG8AdQBuAGQA IAATICAAMQALAFMAbwBtAGUAIABzAHQAYQByAHQAaQBuAGcAIABwAG8AaQBuAHQAcwAAAKEPHgAA ACQAAAAAAAAAAAAPAAAAAAACABwAFQAAAAAAAgAYABAAnw8EAAAAAQAAAAAAqA/BAQAAV29yayBv biBTTk1QIE1JQiB0byBYTUwgY29udmVyc2lvbiBpcyBhIHNvbGlkIHN0YXJ0IG9uIGEgbmVjZXNz YXJ5IHBhcnQgb2YgdGhlIHNvbHV0aW9uLg1YTUwgYWxvbmUgaXMgbm90IHN1ZmZpY2llbnQgYmVj YXVzZSB0aGUgU09BL1dTIG1hbmFnZW1lbnQgYXBwcm9hY2ggcmVxdWlyZXM6DU1vcmUgZXh0ZW5z aXZlIChzdHJ1Y3R1cmVkKSBkZXNjcmlwdGlvbiBvZiBtYW5hZ2VhYmxlIHJlc291cmNlcw1Nb2R1 bGFyIHBhY2thZ2luZyBvZiBkZXNjcmlwdGl2ZSBlbGVtZW50cw1BcGFjaGUgTXVzZSBvcGVuIHNv dXJjZSBwcm9qZWN0IChXU0RNKSBjYW4gaGVscCBndWlkZSB0aGlzIHdvcmsgYW5kIHRlc3Qgb3V0 cHV0cw1FY2xpcHNlIENPU01PUyAocmVzb3VyY2UgbW9kZWxpbmcpIG9wZW4gc291cmNlIHByb2pl Y3QgY2FuIGhlbHAgZ3VpZGUgdGhpcyB3b3JrIGFuZCB0ZXN0IG91dHB1dHMAAKEPPAAAAKYAAAAA AAAAAABqAAAAAQAAAAAAsgAAAAAAAAAAAKYAAAAAAAIAGABqAAAAAAACABQAsgAAAAAAAgAYAAAA 8wMUAAAADAAAAAQAAAACAAAABwEAAAAAAAAAAJ8PBAAAAAAAAAAAAKAPYgAAAEIAYQBjAGsAZwBy AG8AdQBuAGQAIAATICAAMgALAEMAYQBuAGQAaQBkAGEAdABlACAAcgBlAHMAbwB1AHIAYwBlACAA bQBvAGQAZQBsACAAYQByAHQAaQBmAGEAYwB0AHMAAAChDx4AAAAyAAAAAAAAAAAADwAAAAAAAgAc ACMAAAAAAAIAGAAQAJ8PBAAAAAEAAAAAAKgPRwEAAFhNTCAoZVh0ZW5zaWJsZSBNYXJrdXAgTGFu Z3VhZ2UpDVJERiAoUmVzb3VyY2UgRGVzY3JpcHRpb24gRnJhbWV3b3JrKQ1XU0RMIChXZWIgU2Vy dmljZXMgRGVzY3JpcHRpb24gTGFuZ3VhZ2UpDVdTLUFkZHJlc3NpbmcgKFdlYiBTZXJ2aWNlcyBB ZGRyZXNzaW5nIHNwZWMpDVdTLVBvbGljeSAoV2ViIFNlcnZpY2VzIFBvbGljeSBzcGVjcykNV1Mt Q0lNIChDb21tb24gSW5mb3JtYXRpb24gTW9kZWwpDVNNTCAoU2VydmljZSBNb2RlbGluZyBMYW5n dWFnZSkNQ01MIChDb21tb24gTW9kZWwgTGlicmFyeSkNT1dMLVMgKE9udG9sb2d5IFdlYiBMYW5n dWFnZSAtIFNlcnZpY2VzKQAAoQ8UAAAASAEAAAAAAAAAAEgBAAAAAAIAGAAAAKoPGgAAAAUAAAAA AAAACgAAAAEAAAADADkBAAAAAAAAAADzAxQAAAANAAAABAAAAAIAAAAIAQAAAAAAAAAAnw8EAAAA AAAAAAAAqA8IAAAAUHJvcG9zYWwQAJ8PBAAAAAEAAAAAAKgPOQEAAFRoZSBJRVRGIE8mTSBBcmVh IHNob3VsZCB0YWtlIHRoZSBsZWFkIG9uIGRldmVsb3BtZW50IG9mIGEgc3RhbmRhcmQgbWV0aG9k b2xvZ3kgZm9yIGNvbnZlcnRpbmcgU05NUCBNSUJzIHRvIFNPQS9XUyBtYW5hZ2VtZW50IHJlc291 cmNlIG1vZGVsIGFydGlmYWN0cy4NVGhpcyBlZmZvcnQgc2hvdWxkIGxldmVyYWdlIHRoZSBBcGFj aGUgTXVzZSBhbmQgdGhlIEVjbGlwc2UgQ09TTU9TIHByb2plY3RzIGZvciByZXNvdXJjZSBtb2Rl bCBhcnRpZmFjdCBzZWxlY3Rpb24gYW5kIHRlc3RpbmcvdmVyaWZpY2F0aW9uIG9mIGNvbnZlcnNp b24gb3V0cHV0cy4AAKEPFgAAADoBAAAAAAAQAABaADoBAAAAAAIAFgAAAKoPGgAAAGQAAAAAAAAA BAAAAAEAAAADANIAAAAAAAAAAADzAxQAAAAPAAAAAAAAAAIAAAAKAQAAAAAAAAAAnw8EAAAAAAAA AAAAqA8RAAAAQ29tbWVudHMgUmVjZWl2ZWQQAJ8PBAAAAAEAAAAAAKAPhAQAAE0AYQByAGsAIABF AGwAbABpAHMAbwBuADoADQBHAGUAbgBlAHIAYQBsACAAZQBkAGkAdABvAHIAaQBhAGwAIABoAGUA bABwAA0AQwBBADoADQBQAG8AcwBpAHQAaQB2AGUAOwAgAGMAbwBuAHMAaQBkAGUAcgAgAFcAUwAt AEMASQBNAA0ASQBCAE0AOgANAFAAbwBzAGkAdABpAHYAZQA7ACAAZQBtAHAAaABhAHMAaQB6AGUA IABYAFMARAAgAGIAYQBzAGkAcwA7ACAAbABlAHYAZQByAGEAZwBlACAAQQBwAGEAYwBoAGUAIABN AHUAcwBlACAAYQBuAGQAIABFAGMAbABpAHAAcwBlACAAQwBPAFMATQBPAFMAOwAgAHAAcgBvAGQA dQBjAGUAIABkAGkAcgBlAGMAdABsAHkAIAB1AHMAYQBiAGwAZQAgAGEAcgB0AGkAZgBhAGMAdABz AA0ASgB1AGUAcgBnAGUAbgAgAFMAYwBoAG8AZQBuAHcAYQBlAGwAZABlAHIAOgANAEMAbABlAGEA cgBsAHkAIABkAGUAZgBpAG4AZQAgAHcAaABhAHQAIABpAHMAIABuAGUAZQBkAGUAZAAgAGIAeQAg AHQAaABlACAAUwBPAEEALwBXAFMAIABtAGcAbQB0ACAAYwBvAG0AbQB1AG4AaQB0AHkAOwAgAGMA bABlAGEAcgBsAHkAIABkAGUAZgBpAG4AZQAgAGIAZQBuAGUAZgBpAHQAcwAgAGYAbwByACAAcwB0 AGEAawBlAGgAbwBsAGQAZQByAHMAOwAgAHEAdQBlAHMAdABpAG8AbgBzACAAcgBlAGYAZQByAGUA bgBjAGUAIAB0AG8AIABTAE4ATQBQAHYAMwAgAHMAZQBjAHUAcgBpAHQAeQAgAGkAbgAgAHQAaABl ACAARAByAGEAZgB0AA0AQQBuAGQAeQAgAEIAaQBlAHIAbQBhAG4AOgANAEMAbABhAHIAaQBmAHkA IABBAFAASQAgAHMAdABhAHQAdQBzADsAIABsAGUAdgBlAHIAYQBnAGUAIABhAG4AZAAvAG8AcgAg AHMAdQBwAHAAbwByAHQAIABOAEUAVABDAE8ATgBGADsAIABjAG8AbgBjAGUAcgBuAHMAIABhAGIA bwB1AHQAIAAcIHAAcgBvAHgAeQAgAHUAcwBlACAAYwBhAHMAZQA7ACAAcABvAGkAbgB0AHMAIAB0 AG8AIABDAEwASQAgAHUAcwBlACAAYwBhAHMAZQAgACgAaQBuACAAYwBvAG4AdAByAGEAcwB0ACkA DQBEAGEAbgAgAFIAbwBtAGEAcwBjAGEAbgB1ADoADQBJAEUAVABGACAAcgBlAGwAZQB2AGEAbgBj AGUAOwAgAFMATwBBAC8AVwBTACAAdABlAHIAbQBpAG4AbwBsAG8AZwB5ADsAIABjAG8AbgBjAGUA cgBuAHMAIABhAGIAbwB1AHQAIAB0AG8AbwBsAHMAIABhAHMAIABJAEUAVABGACAAbwB1AHQAcAB1 AHQAcwAAAKEPHAEAAA4AAAAAAAAQAABaABcAAAABAAAQAABaAAQAAAAAAAAQAABaABoAAAABAAAQ AABaAAUAAAAAAAAQAABaAGoAAAABAAAQAABaABcAAAAAAAAQAABaAJoAAAABAAAQAABaAA4AAAAA AAAQAABaAHoAAAABAAAQAABaAA8AAAAAAAAQAABaAEkAAAABAAAQAABaAA4AAAAAAAIAFAAXAAAA AAACABIABAAAAAAEAgAABBQAGgAAAAAEAgAABBIABQAAAAAIAgAACBQAagAAAAAIAgAACBIAFwAA AAAMAgAADBQAmgAAAAAMAgAADBIADgAAAAAQAgAAEBQAegAAAAAQAgAAEBIADwAAAAAUAgAAFBQA SQAAAAAYAgAAGBIAAADzAxQAAAAQAAAAAAAAAAIAAAALAQAAAAAAAAAAnw8EAAAAAAAAAAAAqA8K AAAATmV4dCBTdGVwcxAAnw8EAAAAAQAAAAAAqA/mAQAAV2FpdCBmb3IgU09BL1dTIG1hcmtldHBs YWNlIHRvIGZpbmFsaXplIHJlc291cmNlIG1vZGVsaW5nIGRlY2lzaW9ucz8NTWlnaHQgY29tcGxp Y2F0ZSBsaWZlIGZvciBldmVudHVhbCBNSUIyUk1ETCBjb252ZXJzaW9uIG1ldGhvZG9sb2d5DU1p Z2h0IGlnbm9yZSBJRVRGIChPJk0gYW5kIGJyb2FkZXIpIHJlcXVpcmVtZW50cyBhbmQgY29udmVu dGlvbnMNVGFrZSB0aGUgbGVhZCAocmVjb21tZW5kZWQpOg1Gb3JtIElFVEYgTyZNIEFyZWEgV0cg dG8gc3RhbmRhcmRpemUgdGhlIE1JQjJSTURMIG1ldGhvZG9sb2d5DVNwZWNpZmljYXRpb25zDVJl ZmVyZW5jZSBpbXBsZW1lbnRhdGlvbiB0b29scyAob3B0aW9uYWwpDUNvbGxhYm9yYXRlIHdpdGgg Tk1SRyBvbiBmYXN0LXRyYWNrIGFwcGxpZWQgUiZEDUxldmVyYWdlIGFuZCBndWlkZSByZWxhdGVk IGluZHVzdHJ5IG9wZW4gc291cmNlIGVmZm9ydHMgKEVjbGlwc2UgQ09TTU9TIGFuZCBBcGFjaGUg TXVzZSkNAAChD5YAAABFAAAAAAAAAAAAhAAAAAEAAAAAAB0AAAAAAAAAAAA+AAAAAQAAAAAAOQAA AAIAAAAAAIkAAAABAAAAAAABAAAAAAAAAAAARQAAAAAAAgAYAIQAAAAAAAIAFAAdAAAAAAQCAAAE GAA+AAAAAAgCAAAIFAA5AAAAAAgCAAAIEgCJAAAAAAwCAAAMFAABAAAAABACAAAQGAAAAPMDFAAA ABEAAAAEAAAAAAAAAAwBAAAAAAAAAADqAwAAAAAPAPgD6wsAAAIA7wMYAAAAAQAAAAECBwkIAAAA AAAAAAAAAAAAABQwYADwByAAAACCAAAA////ADMzMwD///8A/5kAAMwzAACAgIAAZmYzAGAA8Acg AAAACwUGAMzM/wAzMzMA////ADNmzAAzM8wAgICAAGZmMwBgAPAHIAAAACIQEwD///8AMzMzAP// /wDMMwAAzJkAAICAgABmZjMAYADwByAAAAAAAMwA////ABEFSwD///8A/2YAAP8zAADMmQAAsrKy AGAA8AcgAAAAACYAAPj4+ACbjWUA+vrMAMyZMwCPmWcAM2YAAICAAABgAPAHIAAAAABmmQD///8A MzMzAP///wDMmQAA/5kAAP/MAABwbzcAYADwByAAAAD///8AAAAAAF9fXwAAZjMAzJkAADuBLwCZ ZgAAr785AGAA8AcgAAAA////AAAAAABmZpkAzAAAAICAgACZmTMATG2AALKysgBgAPAHIAAAAP// /wAAAAAAZmaZAAAzmQAAmZkATG1OAExtgACysrIAAACjDz4AAAABAP/9PwAAACIgAgBkAAAAAAAA AGQAAAAAAAAAAABAAgAAAAAHAAAA///vAAAAAQD///////8gAAAAAAEAABAAow+WAAAABQD//T8A DwBuAAMAQQAAAAAEAABkABQAAADYAAAAQAIAAAAABwAAAP//7wAAAAEA////////HAAAAAABAADg BQAAcQA8AAAAAAWmAdkAAAACABgA4AUAAG4AQQAAAAAEhAKnAQAAAgAUAOAFAABxAEYAAAAABUwD hQIAAAIAEgDgBQAApwBLAAAAAAQjBE0DAAACABAAIACjD24AAAAFAP/9PwAAACIgAABkAAAAAP8A AGQAHgAAAAAAAABAAgAAAAAHAAAA///vAAAAAAD///////8MAAAAAAEAAAAFAAAgASABAAAAAAAF AABAAkACAAAAAAAFAABgA2ADAAAAAAAFAACABIAEAAAAAFAAow9mAAAABQAAAP8hAAAAACIgAgBk AAAAAAAAAAAAAAACABQAAQABDQAADgABAAAAAAAAAAAAAgABDQAADgABAAAAAAAAAAAAAwABDQAA DgABAAAAAAAAAAAABAABDQAADgABAAAAAAAAAAAAYACjDw4AAAABAAAAAAAAAAAAAgAcAHAAow8+ AAAABQAAAAAAAAAAAAIAGAABAAAAAAAAAAIAFAACAAAAAAAAAAIAEgADAAAAAAAAAAIAEAAEAAAA AAAAAAIADgCAAKMPPgAAAAUAAAAAAAAAAAACABQAAQAAAAAAAAACABIAAgAAAAAAAAACABAAAwAA AAAAAAACAA4ABAAAAAAAAAACAAwADwAMBCAHAAAPAALwGAcAAEAACPAIAAAACAAAAAgQAAAPAAPw sAYAAA8ABPAoAAAAAQAJ8BAAAAAAAAAAAAAAAAAAAAAAAAAAAgAK8AgAAAAAEAAABQAAAA8ABPAC AQAAEgAK8AgAAAACEAAAAAoAANMAC/BOAAAAfwABAAUAgAA0X/oBhwABAAAAvwAAAA8APwEAAAYA gQEEAAAIgwEAAAAIvwENAB8AwAEBAAAI/wEHAA8AAQICAAAIPwIAAAMAfwMAAA8AIwAi8QwAAAC/ AQAAYAC/AwCCAIYAABDwCAAAAJAAIAFgFcgCDwAR8BAAAAAAAMMLCAAAAAAAAAABAPoBDwAN8FgA AAAAAJ8PBAAAAAAAAAAAAKgPIAAAAENsaWNrIHRvIGVkaXQgTWFzdGVyIHRpdGxlIHN0eWxlAACi DwYAAAAhAAAAAAAAAKoPDgAAACEAAAAHAAAAAAAJBAkEDwAE8EABAAASAArwCAAAAAMQAAAACgAA wwAL8EgAAAB/AAEABQCAACBi+gG/AAAADwA/AQAABgCBAQQAAAiDAQAAAAi/AQ0AHwDAAQEAAAj/ AQcADwABAgIAAAg/AgAAAwB/AwAADwATACLxBgAAAL8DAIIAhgAAEPAIAAAAKgMgAWAVFg8PABHw EAAAAAAAwwsIAAAAAQAAAAIA+gEPAA3wogAAAAAAnw8EAAAAAQAAAAAAqA9SAAAAQ2xpY2sgdG8g ZWRpdCBNYXN0ZXIgdGV4dCBzdHlsZXMNU2Vjb25kIGxldmVsDVRoaXJkIGxldmVsDUZvdXJ0aCBs ZXZlbA1GaWZ0aCBsZXZlbAAAog8eAAAAIQAAAAAADQAAAAEADAAAAAIADQAAAAMADAAAAAQAAACq Dw4AAABTAAAABwAAAAAACQQJBA8ABPDuAAAAEgAK8AgAAAAEEAAAAAoAAJMAC/A2AAAAfwABAAUA gADsaPoBhwACAAAAgQEEAAAIgwEAAAAIvwEBABEAwAEBAAAI/wEBAAkAAQICAAAIIwAi8QwAAAC/ AQAAYAC/AwAAAAQAABDwCAAAAF0PIAFgBn0QDwAR8BAAAAAAAMMLCAAAAAIAAAAHAfoBDwAN8FwA AAAAAJ8PBAAAAAQAAAAAAKAPAgAAACoAAAChDxYAAAACAAAAAAAAAAAAAgAAAAAAAwABAAoAAAD4 DwQAAAAAAAAAAACqDxQAAAABAAAAAAAAAAEAAAAGAAAACQQJBA8ABPD0AAAAEgAK8AgAAAAFEAAA AAoAALMAC/BCAAAAfwABAAUAgAAkbvoBhQACAAAAhwACAAAAvwACAAIAgQEEAAAIgwEAAAAIvwEB ABEAwAEBAAAI/wEBAAkAAQICAAAIIwAi8QwAAAC/AQAAYAC/AwAAAAQAABDwCAAAAOYPagoWDIAQ DwAR8BAAAAAAAMMLCAAAAAMAAAAJAvoBDwAN8FYAAAAAAJ8PBAAAAAQAAAAAAKAPAgAAACoAAACh DxgAAAACAAAAAAAACAAAAQACAAAAAAADAAEACgAAAPoPBAAAAAAAAAAAAKoPDAAAAAIAAAAGAAAA CQQJBA8ABPDoAAAAEgAK8AgAAAAGEAAAAAoAAJMAC/A2AAAAfwABAAUAgAAQb/oBhwACAAAAgQEE AAAIgwEAAAAIvwEBABEAwAEBAAAI/wEBAAkAAQICAAAIIwAi8QwAAAC/AQAAYAC/AwAAAAQAABDw CAAAAF0PIBBgFX0QDwAR8BAAAAAAAMMLCAAAAAQAAAAIAvoBDwAN8FYAAAAAAJ8PBAAAAAQAAAAA AKAPAgAAACoAAAChDxgAAAACAAAAAAAACAAAAgACAAAAAAADAAEACgAAANgPBAAAAAAAAAAAAKoP DAAAAAIAAAAGAAAACQQJBA8ABPDcAAAAAgAK8AgAAAAHEAAAAAoAAEMBC/CaAAAAfwAAAAQAQAEA AAAAQQEAAAAAQgHoAwAAQwHoAwAARAEAAAAARcEMAAAARsEQAAAAfwECAAIAvwEAABAAwAEEAAAI wQEAAAEAxAEAAAAAywFqSgAAzQEAAAAAzgEAAAAA1gEBAAAA1wECAAAA/wEIAAgAiAMAAAAAAwAD APD/AADoAwAAAADoAwAABQAIAAIAAEAArAIAAKwAgDMAIvESAAAAjwMAAAAAkQMAAAAAvwMAAAAE AAAQ8AgAAACQAPAAMBUQAg8ABPBgAAAAQgEK8AgAAAAIEAAAAAoAAHMAC/AqAAAARAEEAAAAfwEA AAEAvwEAABAAwAEEAAAIywFqSgAA/wEYABgAAQICAAAIEwAi8QYAAAC/AwAAAAQAABDwCAAAADAP IAFgFTAPDwAE8EgAAAASAArwCAAAAAEQAAAADAAAgwAL8DAAAACBAQAAAAiDAQUAAAiTAY6fiwCU Ad69aAC/ARIAEgD/AQAACAAEAwkAAAA/AwEAAQAQAPAHIAAAAP///wAAAAAAX19fAABmMwDMmQAA O4EvAJlmAACvvzkADwCIE5EAAAAPAIoTiQAAAAAAug8QAAAAXwBfAF8AUABQAFQAMQAwAAAAixNp AAAAAADrLggAAACgDcABkArb0wAAACsEAAAAAAAAAB8ARPE9AAAAAAAn8SAAAAAAAAAAAwAAAAAA AAAAAAAAAAAAAAAA2wH/////EgAAAA8APfENAAAAQAFC8QUAAAABCQAAAA8AAisAAAAAIAC6DwgA AABFAGQAZwBlAA8A7gNKCAAAAgDvAxgAAAACAAAAAwQHCQgAAAABAACAAAAAAAAAFDAPAAwEYQcA AA8AAvBZBwAAUAAI8AgAAAAIAAAACBQAAA8AA/DxBgAADwAE8CgAAAABAAnwEAAAAAAAAAAAAAAA AAAAAAAAAAACAArwCAAAAAAUAAAFAAAADwAE8PYAAAASAArwCAAAAAIUAAAACgAAwwAL8EgAAAB/ AAEABQCAAHwx4AG/AAAADwA/AQAABgCBAQQAAAiDAQAAAAi/AQ0AHwDAAQEAAAj/AQcADwABAgIA AAg/AgAAAwB/AwAADwATACLxBgAAAL8DAIIAhgAAEPAIAAAAwANAAgIVEAgPABHwEAAAAAAAwwsI AAAAAAAAAAMA4AEPAA3wWAAAAAAAnw8EAAAABgAAAAAAqA8gAAAAQ2xpY2sgdG8gZWRpdCBNYXN0 ZXIgdGl0bGUgc3R5bGUAAKIPBgAAACEAAAAAAAAAqg8OAAAAIQAAAAcAAAAAAAkECQQPAATwKQEA ABIACvAIAAAAAxQAAAAKAADDAAvwSAAAAH8AAQAFAIAANAPgAb8AAAAPAD8BAAAGAIEBBAAACIMB AAAACL8BDQAfAMABAQAACP8BBwAPAAECAgAACD8CAAADAH8DAAAPAJMAIvE2AAAAPwEAAEAAvwEA AGAA/wEAAMABvwMAggCGfwUGAE4AvwUGAE4A/wUGAE4APwYGAE4AfwYGAA4AAAAQ8AgAAADACeAE ABUQDg8AEfAQAAAAAADDCwgAAAABAAAABADgAQ8ADfBbAAAAAACfDwQAAAAFAAAAAACoDyMAAABD bGljayB0byBlZGl0IE1hc3RlciBzdWJ0aXRsZSBzdHlsZQAAog8GAAAAJAAAAAAAAACqDw4AAAAk AAAABwAAAAAACQQJBA8ABPDuAAAAEgAK8AgAAAAEFAAAAAoAAJMAC/A2AAAAfwABAAUAgABImeAB hwACAAAAgQEEAAAIgwEAAAAIvwEBABEAwAEBAAAI/wEBAAkAAQICAAAIIwAi8QwAAAC/AQAAYAC/ AwAAAAQAABDwCAAAAF0PIAFgBn0QDwAR8BAAAAAAAMMLCAAAAAIAAAAHAeABDwAN8FwAAAAAAJ8P BAAAAAQAAAAAAKAPAgAAACoAAAChDxYAAAACAAAAAAAAAAAAAgAAAAAAAwAEAAwAAAD4DwQAAAAA AAAAAACqDxQAAAABAAAAAAAAAAEAAAAGAAAACQQJBA8ABPDoAAAAEgAK8AgAAAAFFAAAAAoAAJMA C/A2AAAAfwABAAUAgADEnuABhwACAAAAgQEEAAAIgwEAAAAIvwEBABEAwAEBAAAI/wEBAAkAAQIC AAAIIwAi8QwAAAC/AQAAYAC/AwAAAAQAABDwCAAAAF0PsAfQDn0QDwAR8BAAAAAAAMMLCAAAAAMA AAAJAuABDwAN8FYAAAAAAJ8PBAAAAAQAAAAAAKAPAgAAACoAAAChDxgAAAACAAAAAAAACAAAAQAC AAAAAAADAAQADAAAAPoPBAAAAAAAAAAAAKoPDAAAAAIAAAAGAAAACQQJBA8ABPDoAAAAEgAK8AgA AAAGFAAAAAoAAJMAC/A2AAAAfwABAAUAgABQgOABhwACAAAAgQEEAAAIgwEAAAAIvwEBABEAwAEB AAAI/wEBAAkAAQICAAAIIwAi8QwAAAC/AQAAYAC/AwAAAAQAABDwCAAAAF0PIBBgFX0QDwAR8BAA AAAAAMMLCAAAAAQAAAAIAuABDwAN8FYAAAAAAJ8PBAAAAAQAAAAAAKAPAgAAACoAAAChDxgAAAAC AAAAAAAACAAAAgACAAAAAAADAAQADAAAANgPBAAAAAAAAAAAAKoPDAAAAAIAAAAGAAAACQQJBA8A BPDcAAAAAgAK8AgAAAAHFAAAAAoAAEMBC/CaAAAAfwAAAAQAQAEAAAAAQQEAAAAAQgHoAwAAQwHo AwAARAEAAAAARcEMAAAARsEQAAAAfwECAAIAvwEAABAAwAEEAAAIwQEAAAEAxAEAAAAAywE4YwAA zQEAAAAAzgEAAAAA1gEBAAAA1wECAAAA/wEIAAgAiAMAAAAAAwADAPD/AADoAwAAAADoAwAABQAI AAIAAEAArAIAAKwAgDMAIvESAAAAjwMAAAAAkQMAAAAAvwMAAAAEAAAQ8AgAAAAAA4ABABVABQ8A BPDQAAAAQgEK8AgAAAAIFAAAAAoAAKMAC/A8AAAAvwAAAA8APwEAAAYARAEEAAAAfwEAAAEAvwEA ABAAwAEBAAAI/wEWAB4AAQICAAAIPwIAAAMAfwMAAA8AgwAi8TAAAAA/AQAAQAD/AQAAgAG/AwCC AIZ/BQYATgC/BQYATgD/BQYATgA/BgYATgB/BgYADgAAABDwCAAAAMAJ4ATmFMAJDwAR8CwAAAAP ABQQJAAAAAEA8Q8cAAAAAAAABwAEAAAAAAAAAAAAAP7/AQD+AAAAAAAUMA8ABPBIAAAAEgAK8AgA AAABFAAAAAwAAIMAC/AwAAAAgQEAAAAIgwEFAAAIkwGOn4sAlAHevWgAvwESABIA/wEAAAgABAMJ AAAAPwMBAAEAEADwByAAAAD///8AAAAAAF9fXwAAZjMAzJkAADuBLwCZZgAAr785AA8AiBORAAAA DwCKE4kAAAAAALoPEAAAAF8AXwBfAFAAUABUADEAMAAAAIsTaQAAAAAA6y4IAAAAoA3AAZAK29MA AAArBAAAAGn7dHkfAETxPQAAAAAAJ/EgAAAAAAAAAAMAAAAAAAAAAAAAAAAAAAAAANsB/////xIA AAAPAD3xDQAAAEABQvEFAAAAAQkAAAAPAAIrAAAAAA8A8AP6BQAAAQDxAwgAAAABAACAAAAUMA8A DAR6BQAADwAC8HIFAACwAAjwCAAAAAcAAAAHLAAADwAD8AoFAAAPAATwKAAAAAEACfAQAAAAAAAA AAAAAAAAAAAAAAAAAAIACvAIAAAAACwAAAUAAAAPAATwyAAAABIACvAIAAAAAiwAAAAKAACDAAvw MAAAAH8AAQAFAIAA9FLHAIEBBAAACIMBAAAACL8BAQARAMABAQAACP8BAQAJAAECAgAACAAAEPAI AAAAAAAAAFAHIAEPABHwEAAAAAAAwwsIAAAAAAAAAAoCxwAPAA3wUAAAAAAAnw8EAAAABAAAAAAA oA8CAAAAKgAAAKEPFAAAAAIAAAAAAAAAAAACAAAAAAACAAwAAAD5DwQAAAAAAAAAAACqDwoAAAAC AAAAAQAAAAAADwAE8MoAAAASAArwCAAAAAMsAAAACgAAgwAL8DAAAAB/AAEABQCAAJBaxwCBAQQA AAiDAQAAAAi/AQEAEQDAAQEAAAj/AQEACQABAgIAAAgAABDwCAAAAAAAjwnfECABDwAR8BAAAAAA AMMLCAAAAAEAAAAHAMcADwAN8FIAAAAAAJ8PBAAAAAQAAAAAAKAPAgAAACoAAAChDxYAAAACAAAA AAAACAAAAgACAAAAAAACAAwAAAD4DwQAAAAAAAAAAACqDwoAAAACAAAAAQAAAAAADwAE8GQAAAAS AArwCAAAAAQsAAAACgAAYwAL8CQAAAB/AAQBBAGHAAEAAAB/AQAAAQC/AREAEQD/AQgACQA/AgEA AQAAABDwCAAAALAB0AIQDiAKDwAR8BAAAAAAAMMLCAAAAAIAAAAFAMcADwAE8BYBAAASAArwCAAA AAUsAAAACgAAgwAL8DAAAAB/AAEABQCAAKRdxwCBAQQAAAiDAQAAAAi/AQEAEQDAAQEAAAj/AQEA CQABAgIAAAgAABDwCAAAALAKsAEwD9AUDwAR8BAAAAAAAMMLCAAAAAMAAAAGAscADwAN8J4AAAAA AJ8PBAAAAAIAAAAAAKgPUgAAAENsaWNrIHRvIGVkaXQgTWFzdGVyIHRleHQgc3R5bGVzDVNlY29u ZCBsZXZlbA1UaGlyZCBsZXZlbA1Gb3VydGggbGV2ZWwNRmlmdGggbGV2ZWwAAKIPHgAAACEAAAAA AA0AAAABAAwAAAACAA0AAAADAAwAAAAEAAAAqg8KAAAAUwAAAAEAAAAAAA8ABPDOAAAAEgAK8AgA AAAGLAAAAAoAAJMAC/A2AAAAfwABAAUAgADAYscAhwACAAAAgQEEAAAIgwEAAAAIvwEBABEAwAEB AAAI/wEBAAkAAQICAAAIAAAQ8AgAAABfFQAAUAd/Fg8AEfAQAAAAAADDCwgAAAAEAAAACQLHAA8A DfBQAAAAAACfDwQAAAAEAAAAAACgDwIAAAAqAAAAoQ8UAAAAAgAAAAAAAAAAAAIAAAAAAAIADAAA APoPBAAAAAAAAAAAAKoPCgAAAAIAAAABAAAAAAAPAATw0AAAABIACvAIAAAABywAAAAKAACTAAvw NgAAAH8AAQAFAIAAoGfHAIcAAgAAAIEBBAAACIMBAAAACL8BAQARAMABAQAACP8BAQAJAAECAgAA CAAAEPAIAAAAXxWPCd8QfxYPABHwEAAAAAAAwwsIAAAABQAAAAgCxwAPAA3wUgAAAAAAnw8EAAAA BAAAAAAAoA8CAAAAKgAAAKEPFgAAAAIAAAAAAAAIAAACAAIAAAAAAAIADAAAANgPBAAAAAAAAAAA AKoPCgAAAAIAAAABAAAAAAAPAATwSAAAABIACvAIAAAAASwAAAAMAACDAAvwMAAAAIEBAAAACIMB BQAACJMB3r1oAJQBjp+LAL8BEgASAP8BAAAIAAQDCQAAAD8DAQABABAA8AcgAAAA////AAAAAACA gIAAAAAAALvg4wAzM5kAAJmZAJnMAAAPAIgTOAAAAA8AihMwAAAAAAC6DxAAAABfAF8AXwBQAFAA VAAxADAAAACLExAAAAAAAOsuCAAAAJJqxwGAK8QpDwDuA1wGAAACAO8DGAAAAAAAAAAPEAAAAAAA AAIAAIAAAAAABwAUMA8ADARzBQAADwAC8GsFAAAgAAjwCAAAAAYAAAAJCAAAIAAY8QgAAAABAAAA AgAAAA8AA/DzBAAADwAE8CgAAAABAAnwEAAAAAAAAAAAAAAAAAAAAAAAAAACAArwCAAAAAAIAAAF AAAADwAE8HgAAAASAArwCAAAAAIIAAAgAgAAYwAL8CQAAAAEAAAAAAB/AAAABACAAPBL4AG/AQAA AQD/AQAAAQABAwIUAAAAABDwCAAAADADsAFyFIAHDwAR8BAAAAAAAMMLCAAAAAAAAAAPAOABDwAN 8AwAAAAAAJ4PBAAAAAAAAAAPAATwwgAAABIACvAIAAAAAwgAACACAAADAQvwYAAAAAQAAAAAAH8A AAAEAIAAKE3gAYEAAAAAAIIAAAAAAIMAAAAAAIQAAAAAAIUAAgAAAIcABAAAAL8AAgACAIABAAAA AIIBAAABAIQBAAABAL8BAAARAP8BAAAJAAEDAxQAABMAIvEGAAAAvwEAAGAAAAAQ8AgAAAA6D6ED 3hLADw8AEfAQAAAAAADDCwgAAAABAAAAEADgAQ8ADfAMAAAAAACeDwQAAAABAAAADwAD8HEDAAAP AATwOAAAAAEACfAQAAAAsAEAAEkIAADQFAAAdw0AAAIACvAIAAAACQgAAAECAAAAABDwCAAAAIII sAHQFLANDwAE8GYAAAAiAArwCAAAAAQIAAACCgAAkwAL8DYAAACFAAIAAACHAAEAAACBAQQAAAiD AQAAAAi/ARAAEADAAQEAAAj/AQgACAABAgIAAAiIAwIAAAAAAA/wEAAAALABAABJCAAA0BQAAHcN AAAPAATwuwIAAKIMCvAIAAAABggAAAIKAACTAAvwNgAAAIAA4K8fAr8AAgACAIEBBAAACIMBAAAA CL8BAAAQAMABAQAACP8BAAAIAAECAgAACIgDAgAAAAAAD/AQAAAAyQEAAFwIAAC3FAAAZg0AAA8A DfBNAgAAAACfDwQAAAAEAAAAAACoD0MBAABUaGUgU09BL1dTIG1hbmFnZW1lbnQgY29tbXVuaXR5 IGhhcyBhIHByb2JsZW06DUluc3VmZmljaWVudCAjIGFuZCByYW5nZSBvZiBzdGFuZGFyZGl6ZWQg cmVzb3VyY2UgbW9kZWxzCw1Db3JyZWN0bHkgY29udmVydGVkIFNOTVAgTUlCcyBjYW4gaGVscCB0 byBzb2x2ZSB0aGF0IHByb2JsZW06DVN0YW5kYXJkaXplZCwgbnVtZXJvdXMsIG11bHRpLWRvbWFp biwgaW5zdHJ1bWVudGVkCw1UaGUgSUVURiBPJk0gY29tbXVuaXR5IGlzIHRoZSByaWdodCBncm91 cCB0byBsZWFkIHRoYXQgZWZmb3J0Og1FeHBlcnRpc2UsIGNvbnRpbnVpdHksIGF1dGhvcml0eSwg Y29udHJvbAAAoQ/MAAAALwAAAAAAsQAAAAEALQACAAAAAAA6AAAAAQCxAAAAAQAtAAIAAAAAAD4A AAAAALEAAAABAC0AAgAAAAAANAAAAAEAsQAAAAEALQACAAAAAAA/AAAAAACxAAAAAQAtAAIAAAAA ACoAAAABALEAAAABAC0AAgAAAAAALwAAAAEAAwABAAEAEAA6AAAAAQADAAEAAQAQAD4AAAABBAMA AQQBABAANAAAAAEEAwABBAEAEAA/AAAAAQgDAAEIAQAQACoAAAABDAMAAQwBABAAAACqDxoAAACC AAAAAAAAAAQAAAABAAAAAwC+AAAAAAAAAA8ABPBIAAAAEgAK8AgAAAABCAAAAAwAAIMAC/AwAAAA gQEAAAAIgwEFAAAIkwGOn4sAlAHevWgAvwESABIA/wEAAAgABAMJAAAAPwMBAAEAEADwByAAAAD/ //8AAAAAAICAgAAAAAAAu+DjADMzmQAAmZkAmcwAAA8AiBORAAAADwCKE4kAAAAAALoPEAAAAF8A XwBfAFAAUABUADEAMAAAAIsTaQAAAAAA6y4IAAAAgGrHAeA4r7AAAAArBAAAAAAAAAAfAETxPQAA AAAAJ/EgAAAAAAAAAAMAAAAAAAAAAAAAAAAAAAAAANsB/////xIAAAAPAD3xDQAAAEABQvEFAAAA AQkAAAAPAAIrAAAAAA8A7gOJAgAAAgDvAxgAAAABAAAADQ4AAAAAAAABAACAAAAAAAcAFDAPAAwE oAEAAA8AAvCYAQAAYAAI8AgAAAADAAAAAxgAAA8AA/AwAQAADwAE8CgAAAABAAnwEAAAAAAAAAAA AAAAAAAAAAAAAAACAArwCAAAAAAYAAAFAAAADwAE8HgAAAASAArwCAAAAAIYAAAgAgAAYwAL8CQA AAAEAAAAAAB/AAAABACAAHgKmAG/AQAAAQD/AQAAAQABAwIQAAAAABDwCAAAAJAAIAFgFcgCDwAR 8BAAAAAAAMMLCAAAAAAAAAANAJgBDwAN8AwAAAAAAJ4PBAAAAAAAAAAPAATweAAAABIACvAIAAAA AxgAACACAABjAAvwJAAAAAQAAAAAAH8AAAAEAIAA1AqYAb8BAAABAP8BAAABAAEDAxAAAAAAEPAI AAAAKgMgAWAVFg8PABHwEAAAAAAAwwsIAAAAAQAAAA4AmAEPAA3wDAAAAAAAng8EAAAAAQAAAA8A BPBIAAAAEgAK8AgAAAABGAAAAAwAAIMAC/AwAAAAgQEAAAAIgwEFAAAIkwGOn4sAlAHevWgAvwES ABIA/wEAAAgABAMJAAAAPwMBAAEAEADwByAAAAD///8AAAAAAF9fXwAAZjMAzJkAADuBLwCZZgAA r785AA8AiBORAAAADwCKE4kAAAAAALoPEAAAAF8AXwBfAFAAUABUADEAMAAAAIsTaQAAAAAA6y4I AAAAgGrHAQAwKegAAAArBAAAAAAAAAAfAETxPQAAAAAAJ/EgAAAAAAAAAAMAAAAAAAAAAAAAAAAA AAAAANsB/////xIAAAAPAD3xDQAAAEABQvEFAAAAAQkAAAAPAAIrAAAAAA8A7gODAgAAAgDvAxgA AAABAAAADQ4AAAAAAAABAACAAAAAAAcAFDAPAAwEmgEAAA8AAvCSAQAAwAAI8AgAAAADAAAAAzAA AA8AA/AqAQAADwAE8CgAAAABAAnwEAAAAAAAAAAAAAAAAAAAAAAAAAACAArwCAAAAAAwAAAFAAAA DwAE8HgAAAASAArwCAAAAAIwAAAgAgAAYwAL8CQAAAAEAAAAAAB/AAAABACAAESz+gG/AQAAAQD/ AQAAAQABAwIQAAAAABDwCAAAAJAAIAFgFcgCDwAR8BAAAAAAAMMLCAAAAAAAAAANAPoBDwAN8AwA AAAAAJ4PBAAAAAAAAAAPAATwcgAAABIACvAIAAAAAzAAACACAABTAAvwHgAAAH8AAAAEAIAAFAjg Ab8BAAABAP8BAAABAAEDAxAAAAAAEPAIAAAAKgMgAWAVFg8PABHwEAAAAAAAwwsIAAAAAQAAAA4A +gEPAA3wDAAAAAAAng8EAAAAAQAAAA8ABPBIAAAAEgAK8AgAAAABMAAAAAwAAIMAC/AwAAAAgQEA AAAIgwEFAAAIkwGOn4sAlAHevWgAvwESABIA/wEAAAgABAMJAAAAPwMBAAEAEADwByAAAAD///8A AAAAAF9fXwAAZjMAzJkAADuBLwCZZgAAr785AA8AiBORAAAADwCKE4kAAAAAALoPEAAAAF8AXwBf AFAAUABUADEAMAAAAIsTaQAAAAAA6y4IAAAAkmrHAQAPhI0AAAArBAAAAAAAAAAfAETxPQAAAAAA J/EgAAAAAAAAAAMAAAAAAAAAAAAAAAAAAAAAANsB/////xIAAAAPAD3xDQAAAEABQvEFAAAAAQkA AAAPAAIrAAAAAA8A7gOlOAAAAgDvAxgAAAAHAAAADQAAAAAAAAABAACAAAAAAAcAFDAPAAwEezIA AA8AAvBzMgAAkAAI8AgAAABUAAAAcSQAAGAAGPEYAAAAAQAAAAIAAAADAAIABAACAAUAAAAGAAAA DwAD8MMxAAAPAATwKAAAAAEACfAQAAAAAAAAAAAAAAAAAAAAAAAAAAIACvAIAAAAACQAAAUAAAAP AATweAAAABIACvAIAAAABCQAACACAABjAAvwJAAAAAQAAAAAAH8AAAAEAIAAxB2YAb8BAAABAP8B AAABAAEDAhAAAAAAEPAIAAAAkAAgAWAVyAIPABHwEAAAAAAAwwsIAAAAAAAAAA0AmAEPAA3wDAAA AAAAng8EAAAAAAAAAA8AA/CrDAAADwAE8DgAAAABAAnwEAAAAHAFAABgAwAAkA8AAOAHAAACAArw CAAAACokAAABAgAAAAAQ8AgAAABRAzAGUBDRBw8ABPBmAAAAQgEK8AgAAAAgJAAAAgoAAJMAC/A2 AAAARAEEAAAAfwEAAAEAvwEAABAAwAEBAAAIzgEGAAAA0AEBAAAA/wEYABgAAQICAAAIiAMGAAAA AAAP8BAAAACBCgAA0AUAAIEKAABgBgAADwAD8KsBAAAPAATwVAAAAAEACfAQAAAAwAMAABAFAADQ BQAAwAYAAAIACvAIAAAAEyQAAAMCAAAjAAvwDAAAAAQAAAAAAIgDBgAAAAAAD/AQAAAAcAUAAGAD AACABwAAEAUAAA8ABPBgAAAAEgAK8AgAAAAUJAAAAgoAAIMAC/AwAAAAhQACAAAAhwABAAAAgQEE AAAIgwEAAAAIvwEAABAAwAEBAAAI/wEIAAgAAQICAAAIAAAP8BAAAADAAwAAEAUAANAFAADABgAA DwAE8N8AAACiDArwCAAAABUkAAACCgAA4wAL8FQAAACAAEQSmAGBAAAAAACCAAAAAACDAAAAAACE AAAAAACFAAIAAACHAAQAAAC/AAIAAgCBAQQAAAiDAQAAAAi/AQAAEADAAQEAAAj/AQAACAABAgIA AAgTACLxBgAAAL8BAABgAAAAD/AQAAAA3wMAAK4FAACxBQAAIQYAAA8ADfBFAAAAAACfDwQAAAAE AAAAAACoDwcAAABNYW5hZ2VyAAChDyIAAAAIAAAAAAAwKAAAAgAAAAAAAQAyAAgAAAABAAMAAQAB AAwADwAD8LIBAAAPAATwVAAAAAEACfAQAAAAwAMAABAFAADQBQAAwAYAAAIACvAIAAAAFiQAAAMC AAAjAAvwDAAAAAQAAAAAAIgDBgAAAAAAD/AQAAAAgA0AAGADAACQDwAAEAUAAA8ABPBgAAAAEgAK 8AgAAAAXJAAAAgoAAIMAC/AwAAAAhQACAAAAhwABAAAAgQEEAAAIgwEAAAAIvwEAABAAwAEBAAAI /wEIAAgAAQICAAAIAAAP8BAAAADAAwAAEAUAANAFAADABgAADwAE8OYAAACiDArwCAAAABgkAAAC CgAA4wAL8FQAAACAANj5xwCBAAAAAACCAAAAAACDAAAAAACEAAAAAACFAAIAAACHAAQAAAC/AAIA AgCBAQQAAAiDAQAAAAi/AQAAEADAAQEAAAj/AQAACAABAgIAAAgTACLxBgAAAL8BAABgAAAAD/AQ AAAA1gMAAHUFAAC7BQAAWwYAAA8ADfBMAAAAAACfDwQAAAAEAAAAAACoDw4AAABNYW5hZ2VkC0Vu dGl0eQAAoQ8iAAAADwAAAAAAMCgAAAIAAAAAAAEAMgAPAAAAAQADAAEAAQAMAA8AA/C4AQAADwAE 8FQAAAABAAnwEAAAAIAHAAB9AwAAgA0AAPADAAACAArwCAAAABwkAAADAgAAIwAL8AwAAAAEAAAA AACIAwYAAAAAAA/wEAAAAIAHAAB9AwAAgA0AAPADAAAPAATwYAAAAEIBCvAIAAAAGiQAAAIKAACD AAvwMAAAAEQBBAAAAH8BAAABAL8BAAAQAMABAQAACNABBQAAANEBBQAAAP8BGAAYAAECAgAACAAA D/AQAAAAgAcAAPADAACADQAA8AMAAA8ABPDsAAAAogwK8AgAAAAbJAAAAgoAAOMAC/BUAAAAgACY r8cAgQAAAAAAggAAAAAAgwAAAAAAhAAAAAAAhQACAAAAhwAEAAAAvwACAAIAgQEEAAAIgwEAAAAI vwEAABAAwAEBAAAI/wEAAAgAAQICAAAIEwAi8QYAAAC/AQAAYAAAAA/wEAAAAOIHAAB9AwAAHg0A APADAAAPAA3wUgAAAAAAnw8EAAAABAAAAAAAqA8WAAAATWdtdCBQcm90b2NvbCBNZXNzYWdlcwAA oQ8gAAAAFwAAAAAAMCAAAAIAAAAAADIAFwAAAAEAAwABAAEADAAPAAPwCgIAAA8ABPBUAAAAAQAJ 8BAAAADACQAAYAYAAEILAADgBwAAAgAK8AgAAAAfJAAAAwIAACMAC/AMAAAABAAAAAAAiAMGAAAA AAAP8BAAAADACQAAYAYAAEILAADgBwAADwAE8HQAAAASBArwCAAAAAckAAACCgAAkwAL8DYAAACF AAIAAACHAAEAAACBAQQAAAiDAQAAAAi/AQAAEADAAQEAAAj/AQgACAABAgIAAAiIAwQAAAATACLx BgAAAL8BAABgAAAAD/AQAAAAwAkAAGAGAABCCwAA4AcAAA8ABPAqAQAAogwK8AgAAAAOJAAAAgoA ACMBC/BsAAAAgABss8cAgQAAAAAAggAAAAAAgwAAAAAAhAAAAAAAhQACAAAAhwAEAAAAvwACAA8A PwEAAAYAgQEEAAAIgwEAAAAIvwEMAB4AwAEBAAAI/wEGAA4AAQICAAAIPwIAAAMAfwMAAA8AiAME AAAAkwAi8TYAAAA/AQAAQAC/AQAAYAD/AQAAwAG/AwCCAIJ/BQYATgC/BQYATgD/BQYATgA/BgYA TgB/BgYADgAAAA/wEAAAAPsJAADABgAABgsAAIAHAAAPAA3wSAAAAAAAnw8EAAAABAAAAAAAqA8K AAAASW5mbwtNb2RlbAAAoQ8iAAAACwAAAAAAMCgAAAIAAAAAAAEAMgALAAAAAQADAAEAAQAKAA8A A/D2AQAADwAE8FQAAAABAAnwEAAAAOAKAACACgAAYAwAANALAAACAArwCAAAAB4kAAADAgAAIwAL 8AwAAAAEAAAAAACIAwYAAAAAAA/wEAAAAMAJAACABAAAQAsAANAFAAAPAATwKgEAAKIMCvAIAAAA DyQAAAIKAAAjAQvwbAAAAIAACLfHAIEAAAAAAIIAAAAAAIMAAAAAAIQAAAAAAIUAAgAAAIcABAAA AL8AAgAPAD8BAAAGAIEBBAAACIMBAAAACL8BDAAeAMABAQAACP8BBgAOAAECAgAACD8CAAADAH8D AAAPAIgDAwAAAJMAIvE2AAAAPwEAAEAAvwEAAGAA/wEAAMABvwMAggCCfwUGAE4AvwUGAE4A/wUG AE4APwYGAE4AfwYGAA4AAAAP8BAAAAAbCwAAqwoAACYMAABrCwAADwAN8EgAAAAAAJ8PBAAAAAQA AAAAAKgPCgAAAERhdGELTW9kZWwAAKEPIgAAAAsAAAAAADAoAAACAAAAAAABADIACwAAAAEAAwAB AAEACgAPAATwYAAAACIHCvAIAAAAHSQAAAIKAACDAAvwMAAAAIUAAgAAAIcAAQAAAIEBBAAACIMB AAAACL8BAAAQAMABAQAACP8BCAAIAAECAgAACAAAD/AQAAAA4AoAAIAKAABgDAAA0AsAAA8ABPD2 AAAAAgAK8AgAAAAkJAAAAgoAAIMBC/DGAAAABAAAAAAAQgEwAwAAQwHgAQAARAEEAAAARcEcAAAA RsEUAAAAfwEBAAEAgQEEAAAIgwEAAAAIhkEAAAAAvwEAABAAwAEBAAAIxAEAAAAAzgEGAAAA0AEB AAAA0QEAAAAA0gEBAAAA0wEBAAAA1AEBAAAA1QEBAAAA1wECAAAA/wEYABgAAQICAAAIiAMGAAAA BwAHAPD/AAAAADsAggB3AAQB/wBUAYcBpAFbAsIBMAPgAQcACAACAABAAK0BIACtASAArACAAAAP 8BAAAACQBgAAEAUAAMAJAADwBgAADwAE8PYAAAACAArwCAAAACUkAABCCgAAgwEL8MYAAAAEAAAA AABCATADAABDAeABAABEAQQAAABFwRwAAABGwRQAAAB/AQEAAQCBAQQAAAiDAQAAAAiGwQAAAAC/ AQAAEADAAQEAAAjEAQAAAADOAQYAAADQAQEAAADRAQAAAADSAQEAAADTAQEAAADUAQEAAADVAQEA AADXAQIAAAD/ARgAGAABAgIAAAiIAwYAAAAHAAcA8P8AAAAAOwCCAHcABAH/AFQBhwGkAVsCwgEw A+ABBwAIAAIAAEAArQEgAK0BIACsAIAAAA/wEAAAAEoLAAAQBQAAeg4AAPAGAAAPAATwWgAAAEIB CvAIAAAAKCQAAEIKAABzAAvwKgAAAEQBBAAAAH8BAAABAL8BAAAQAMABAQAACNEBAwAAAP8BGAAY AAECAgAACAAAD/AQAAAAOwcAAMUEAACxCQAAxQQAAA8ABPBaAAAAQgEK8AgAAAApJAAAAgoAAHMA C/AqAAAARAEEAAAAfwEAAAEAvwEAABAAwAEBAAAI0QEEAAAA/wEYABgAAQICAAAIAAAP8BAAAABT CwAAxQQAAMkNAADFBAAADwAE8OcAAACiDArwCAAAAFUkAAAACgAA4wAL8FQAAACAAKS8xwCBAAAA AACCAAAAAACDAAAAAACEAAAAAACFAAIAAACHAAQAAAC/AAIAAgCBAQQAAAiDAQAAAAi/AQAAEADA AQEAAAj/AQAACAABAgIAAAgTACLxBgAAAL8BAABgAAAAEPAIAAAAZANBA14FvQQPAA3wVQAAAAAA nw8EAAAABAAAAAAAqA8XAAAAU2ltcGxpZmllZAtHZW5lcmljC1ZpZXcAAKEPIgAAABgAAAAAADAo AAACAAAAAAABADIAGAAAAAEAAwABAAEADAAPAAPw4A0AAA8ABPBGAAAAAQAJ8BAAAACLAAAAEAgA AKsKAAA9DQAAAgAK8AgAAABkJAAAAQIAABMAC/AGAAAAiAMAAAAAAAAQ8AgAAABwCIsAqwqdDQ8A A/CQDAAADwAE8FQAAAABAAnwEAAAAHAFAABgAwAAkA8AAOAHAAACAArwCAAAACskAAADAgAAIwAL 8AwAAAAEAAAAAACIAwcAAAAAAA/wEAAAAIsAAAC9CAAAqwoAAD0NAAAPAATwYAAAAEIBCvAIAAAA LCQAAAIKAACDAAvwMAAAAEQBBAAAAH8BAAABAL8BAAAQAMABAQAACM4BBgAAANABAQAAAP8BGAAY AAECAgAACAAAD/AQAAAAgQoAANAFAACBCgAAYAYAAA8AA/CwAQAADwAE8FQAAAABAAnwEAAAAMAD AAAQBQAA0AUAAMAGAAACAArwCAAAAC0kAAADAgAAIwAL8AwAAAAEAAAAAACIAwAAAAAAAA/wEAAA AHAFAABgAwAAgAcAABAFAAAPAATwYAAAABIACvAIAAAALiQAAAIKAACDAAvwMAAAAIUAAgAAAIcA AQAAAIEBBAAACIMBAAAACL8BAAAQAMABAQAACP8BCAAIAAECAgAACAAAD/AQAAAAwAMAABAFAADQ BQAAwAYAAA8ABPDkAAAAogwK8AgAAAAvJAAAAgoAAOMAC/BUAAAAgAC0uMcAgQAAAAAAggAAAAAA gwAAAAAAhAAAAAAAhQACAAAAhwAEAAAAvwACAAIAgQEEAAAIgwEAAAAIvwEAABAAwAEBAAAI/wEA AAgAAQICAAAIEwAi8QYAAAC/AQAAYAAAAA/wEAAAAN8DAAB1BQAAsQUAAFsGAAAPAA3wSgAAAAAA nw8EAAAABAAAAAAAqA8MAAAAU05NUAtNYW5hZ2VyAAChDyIAAAANAAAAAAAwKAAAAgAAAAAAAQAy AA0AAAABAAMAAQABAAwADwAD8K4BAAAPAATwVAAAAAEACfAQAAAAwAMAABAFAADQBQAAwAYAAAIA CvAIAAAAMCQAAAMCAAAjAAvwDAAAAAQAAAAAAIgDAAAAAAAAD/AQAAAAgA0AAGADAACQDwAAEAUA AA8ABPBgAAAAEgAK8AgAAAAxJAAAAgoAAIMAC/AwAAAAhQACAAAAhwABAAAAgQEEAAAIgwEAAAAI vwEAABAAwAEBAAAI/wEIAAgAAQICAAAIAAAP8BAAAADAAwAAEAUAANAFAADABgAADwAE8OIAAACi DArwCAAAADIkAAACCgAA4wAL8FQAAACAAJy+xwCBAAAAAACCAAAAAACDAAAAAACEAAAAAACFAAIA AACHAAQAAAC/AAIAAgCBAQQAAAiDAQAAAAi/AQAAEADAAQEAAAj/AQAACAABAgIAAAgTACLxBgAA AL8BAABgAAAAD/AQAAAAKQQAAHUFAABnBQAAWwYAAA8ADfBIAAAAAACfDwQAAAAEAAAAAACoDwoA AABTTk1QC0FnZW50AAChDyIAAAALAAAAAAAwKAAAAgAAAAAAAQAyAAsAAAABAAMAAQABAAwADwAD 8KYBAAAPAATwVAAAAAEACfAQAAAAgAcAAH0DAACADQAA8AMAAAIACvAIAAAAMyQAAAMCAAAjAAvw DAAAAAQAAAAAAIgDAAAAAAAAD/AQAAAAgAcAAH0DAACADQAA8AMAAA8ABPBgAAAAQgEK8AgAAAA0 JAAAAgoAAIMAC/AwAAAARAEEAAAAfwEAAAEAvwEAABAAwAEBAAAI0AEFAAAA0QEFAAAA/wEYABgA AQICAAAIAAAP8BAAAACABwAA8AMAAIANAADwAwAADwAE8NoAAACiDArwCAAAADUkAAACCgAA4wAL 8FQAAACAABCWxwCBAAAAAACCAAAAAACDAAAAAACEAAAAAACFAAIAAACHAAQAAAC/AAIAAgCBAQQA AAiDAQAAAAi/AQAAEADAAQEAAAj/AQAACAABAgIAAAgTACLxBgAAAL8BAABgAAAAD/AQAAAA5QkA AH0DAAAbCwAA8AMAAA8ADfBAAAAAAACfDwQAAAAEAAAAAACoDwQAAABTTk1QAAChDyAAAAAFAAAA AAAwIAAAAgAAAAAAMgAFAAAAAQADAAEAAQAMAA8AA/D3AQAADwAE8FQAAAABAAnwEAAAAMAJAABg BgAAQgsAAOAHAAACAArwCAAAADYkAAADAgAAIwAL8AwAAAAEAAAAAACIAwAAAAAAAA/wEAAAAMAJ AABgBgAAQgsAAOAHAAAPAATwbgAAABIECvAIAAAANyQAAAIKAACDAAvwMAAAAIUAAgAAAIcAAQAA AIEBBAAACIMBAAAACL8BAAAQAMABAQAACP8BCAAIAAECAgAACBMAIvEGAAAAvwEAAGAAAAAP8BAA AADACQAAYAYAAEILAADgBwAADwAE8B0BAACiDArwCAAAADgkAAACCgAAEwEL8GYAAACAAMSZxwCB AAAAAACCAAAAAACDAAAAAACEAAAAAACFAAIAAACHAAQAAAC/AAIADwA/AQAABgCBAQQAAAiDAQAA AAi/AQwAHgDAAQEAAAj/AQYADgABAgIAAAg/AgAAAwB/AwAADwCTACLxNgAAAD8BAABAAL8BAABg AP8BAADAAb8DAIIAgn8FBgBOAL8FBgBOAP8FBgBOAD8GBgBOAH8GBgAOAAAAD/AQAAAAKAoAAPAG AADZCgAAUAcAAA8ADfBBAAAAAACfDwQAAAAEAAAAAACoDwMAAABTTUkAAKEPIgAAAAQAAAAAADAo AAACAAAAAAABADIABAAAAAEAAwABAAEACgAPAAPw6QEAAA8ABPBUAAAAAQAJ8BAAAADgCgAAgAoA AGAMAADQCwAAAgAK8AgAAAA5JAAAAwIAACMAC/AMAAAABAAAAAAAiAMAAAAAAAAP8BAAAADACQAA gAQAAEALAADQBQAADwAE8B0BAACiDArwCAAAADokAAACCgAAEwEL8GYAAACAANSPxwCBAAAAAACC AAAAAACDAAAAAACEAAAAAACFAAIAAACHAAQAAAC/AAIADwA/AQAABgCBAQQAAAiDAQAAAAi/AQwA HgDAAQEAAAj/AQYADgABAgIAAAg/AgAAAwB/AwAADwCTACLxNgAAAD8BAABAAL8BAABgAP8BAADA Ab8DAIIAgn8FBgBOAL8FBgBOAP8FBgBOAD8GBgBOAH8GBgAOAAAAD/AQAAAARgsAANsKAAD7CwAA OwsAAA8ADfBBAAAAAACfDwQAAAAEAAAAAACoDwMAAABNSUIAAKEPIgAAAAQAAAAAADAoAAACAAAA AAABADIABAAAAAEAAwABAAEACgAPAATwYAAAACIHCvAIAAAAOyQAAAIKAACDAAvwMAAAAIUAAgAA AIcAAQAAAIEBBAAACIMBAAAACL8BAAAQAMABAQAACP8BCAAIAAECAgAACAAAD/AQAAAA4AoAAIAK AABgDAAA0AsAAA8ABPD2AAAAAgAK8AgAAAA8JAAAAgoAAIMBC/DGAAAABAAAAAAAQgEwAwAAQwHg AQAARAEEAAAARcEcAAAARsEUAAAAfwEBAAEAgQEEAAAIgwEAAAAIhsEAAAAAvwEAABAAwAEBAAAI xAEAAAAAzgEGAAAA0AEBAAAA0QEAAAAA0gEBAAAA0wEBAAAA1AEBAAAA1QEBAAAA1wECAAAA/wEY ABgAAQICAAAIiAMAAAAABwAHAPD/AAAAADsAggB3AAQB/wBUAYcBpAFbAsIBMAPgAQcACAACAABA AK0BIACtASAArACAAAAP8BAAAACQBgAAEAUAAMAJAADwBgAADwAE8PYAAAACAArwCAAAAD0kAABC CgAAgwEL8MYAAAAEAAAAAABCATADAABDAeABAABEAQQAAABFwRwAAABGwRQAAAB/AQEAAQCBAQQA AAiDAQAAAAiGwQAAAAC/AQAAEADAAQEAAAjEAQAAAADOAQYAAADQAQEAAADRAQAAAADSAQEAAADT AQEAAADUAQEAAADVAQEAAADXAQIAAAD/ARgAGAABAgIAAAiIAwAAAAAHAAcA8P8AAAAAOwCCAHcA BAH/AFQBhwGkAVsCwgEwA+ABBwAIAAIAAEAArQEgAK0BIACsAIAAAA/wEAAAAEoLAAAQBQAAeg4A APAGAAAPAATwWgAAAEIBCvAIAAAAPiQAAEIKAABzAAvwKgAAAEQBBAAAAH8BAAABAL8BAAAQAMAB AQAACNEBAwAAAP8BGAAYAAECAgAACAAAD/AQAAAAOwcAAMUEAACxCQAAxQQAAA8ABPBaAAAAQgEK 8AgAAAA/JAAAAgoAAHMAC/AqAAAARAEEAAAAfwEAAAEAvwEAABAAwAEBAAAI0QEEAAAA/wEYABgA AQICAAAIAAAP8BAAAABTCwAAxQQAAMkNAADFBAAADwAE8PIAAACiDArwCAAAAFckAAACCgAA8wAL 8FoAAACAAOCixwCBAAAAAACCAAAAAACDAAAAAACEAAAAAACFAAIAAACHAAQAAAC/AAIAAgCBAQQA AAiDAQAAAAi/AQAAEADAAQEAAAj/AQAACAABAgIAAAiIAwcAAAATACLxBgAAAL8BAABgAAAAD/AQ AAAAowAAABAIAABABQAAgwgAAA8ADfBSAAAAAACfDwQAAAAEAAAAAACoDxQAAABTaW1wbGlmaWVk IFNOTVAgVmlldwAAoQ8iAAAAFQAAAAAAMCgAAAIAAAAAAAEAMgAVAAAAAQADAAEAAQAMAA8AA/Db DQAADwAE8DgAAAABAAnwEAAAAL8LAAAdCQAA3xUAAEoOAAACAArwCAAAAFskAAABAgAAAAAQ8AgA AABwCL8L3xWdDQ8AA/CdDAAADwAE8E4AAAABAAnwEAAAAHAFAABgAwAAkA8AAOAHAAACAArwCAAA AEAkAAADAgAAEwAL8AYAAACIAwAAAAAAAA/wEAAAAL8LAADKCQAA3xUAAEoOAAAPAATwYAAAAEIB CvAIAAAAQSQAAAIKAACDAAvwMAAAAEQBBAAAAH8BAAABAL8BAAAQAMABAQAACM4BBgAAANABAQAA AP8BGAAYAAECAgAACAAAD/AQAAAAgQoAANAFAACBCgAAYAYAAA8AA/CwAQAADwAE8FQAAAABAAnw EAAAAMADAAAQBQAA0AUAAMAGAAACAArwCAAAAEIkAAADAgAAIwAL8AwAAAAEAAAAAACIAwAAAAAA AA/wEAAAAHAFAABgAwAAgAcAABAFAAAPAATwYAAAABIACvAIAAAAQyQAAAIKAACDAAvwMAAAAIUA AgAAAIcAAQAAAIEBBAAACIMBAAAACL8BAAAQAMABAQAACP8BCAAIAAECAgAACAAAD/AQAAAAwAMA ABAFAADQBQAAwAYAAA8ABPDkAAAAogwK8AgAAABEJAAAAgoAAOMAC/BUAAAAgADop8cAgQAAAAAA ggAAAAAAgwAAAAAAhAAAAAAAhQACAAAAhwAEAAAAvwACAAIAgQEEAAAIgwEAAAAIvwEAABAAwAEB AAAI/wEAAAgAAQICAAAIEwAi8QYAAAC/AQAAYAAAAA/wEAAAAAIEAAB1BQAAjQUAAFsGAAAPAA3w SgAAAAAAnw8EAAAABAAAAAAAqA8MAAAATWdtdAtTZXJ2aWNlAAChDyIAAAANAAAAAAAwKAAAAgAA AAAAAQAyAA0AAAABAAMAAQABAAwADwAD8LEBAAAPAATwVAAAAAEACfAQAAAAwAMAABAFAADQBQAA wAYAAAIACvAIAAAARSQAAAMCAAAjAAvwDAAAAAQAAAAAAIgDAAAAAAAAD/AQAAAAgA0AAGADAACQ DwAAEAUAAA8ABPBgAAAAEgAK8AgAAABGJAAAAgoAAIMAC/AwAAAAhQACAAAAhwABAAAAgQEEAAAI gwEAAAAIvwEAABAAwAEBAAAI/wEIAAgAAQICAAAIAAAP8BAAAADAAwAAEAUAANAFAADABgAADwAE 8OUAAACiDArwCAAAAEckAAACCgAA4wAL8FQAAACAAJiLxwCBAAAAAACCAAAAAACDAAAAAACEAAAA AACFAAIAAACHAAQAAAC/AAIAAgCBAQQAAAiDAQAAAAi/AQAAEADAAQEAAAj/AQAACAABAgIAAAgT ACLxBgAAAL8BAABgAAAAD/AQAAAA2QMAAHUFAAC4BQAAWwYAAA8ADfBLAAAAAACfDwQAAAAEAAAA AACoDw0AAABNZ210C0VuZHBvaW50AAChDyIAAAAOAAAAAAAwKAAAAgAAAAAAAQAyAA4AAAABAAMA AQABAAwADwAD8LYBAAAPAATwVAAAAAEACfAQAAAAgAcAAH0DAACADQAA8AMAAAIACvAIAAAASCQA AAMCAAAjAAvwDAAAAAQAAAAAAIgDAAAAAAAAD/AQAAAAgAcAAH0DAACADQAA8AMAAA8ABPBgAAAA QgEK8AgAAABJJAAAAgoAAIMAC/AwAAAARAEEAAAAfwEAAAEAvwEAABAAwAEBAAAI0AEFAAAA0QEF AAAA/wEYABgAAQICAAAIAAAP8BAAAACABwAA8AMAAIANAADwAwAADwAE8OoAAACiDArwCAAAAEok AAACCgAA4wAL8FQAAACAAOwAxwCBAAAAAACCAAAAAACDAAAAAACEAAAAAACFAAIAAACHAAQAAAC/ AAIAAgCBAQQAAAiDAQAAAAi/AQAAEADAAQEAAAj/AQAACAABAgIAAAgTACLxBgAAAL8BAABgAAAA D/AQAAAA/QcAAH0DAAADDQAA8AMAAA8ADfBQAAAAAACfDwQAAAAEAAAAAACoDxQAAABTT0EvV1Mg TWdtdCBQcm90b2NvbAAAoQ8gAAAAFQAAAAAAMCAAAAIAAAAAADIAFQAAAAEAAwABAAEADAAPAAPw 9wEAAA8ABPBUAAAAAQAJ8BAAAADACQAAYAYAAEILAADgBwAAAgAK8AgAAABLJAAAAwIAACMAC/AM AAAABAAAAAAAiAMAAAAAAAAP8BAAAADACQAAYAYAAEILAADgBwAADwAE8G4AAAASBArwCAAAAEwk AAACCgAAgwAL8DAAAACFAAIAAACHAAEAAACBAQQAAAiDAQAAAAi/AQAAEADAAQEAAAj/AQgACAAB AgIAAAgTACLxBgAAAL8BAABgAAAAD/AQAAAAwAkAAGAGAABCCwAA4AcAAA8ABPAdAQAAogwK8AgA AABNJAAAAgoAABMBC/BmAAAAgABIBscAgQAAAAAAggAAAAAAgwAAAAAAhAAAAAAAhQACAAAAhwAE AAAAvwACAA8APwEAAAYAgQEEAAAIgwEAAAAIvwEMAB4AwAEBAAAI/wEGAA4AAQICAAAIPwIAAAMA fwMAAA8AkwAi8TYAAAA/AQAAQAC/AQAAYAD/AQAAwAG/AwCCAIJ/BQYATgC/BQYATgD/BQYATgA/ BgYATgB/BgYADgAAAA/wEAAAADcKAADwBgAAygoAAFAHAAAPAA3wQQAAAAAAnw8EAAAABAAAAAAA qA8DAAAAPz8/AAChDyIAAAAEAAAAAAAwKAAAAgAAAAAAAQAyAAQAAAABAAMAAQABAAoADwAD8OkB AAAPAATwVAAAAAEACfAQAAAA4AoAAIAKAABgDAAA0AsAAAIACvAIAAAATiQAAAMCAAAjAAvwDAAA AAQAAAAAAIgDAAAAAAAAD/AQAAAAwAkAAIAEAABACwAA0AUAAA8ABPAdAQAAogwK8AgAAABPJAAA AgoAABMBC/BmAAAAgACMCscAgQAAAAAAggAAAAAAgwAAAAAAhAAAAAAAhQACAAAAhwAEAAAAvwAC AA8APwEAAAYAgQEEAAAIgwEAAAAIvwEMAB4AwAEBAAAI/wEGAA4AAQICAAAIPwIAAAMAfwMAAA8A kwAi8TYAAAA/AQAAQAC/AQAAYAD/AQAAwAG/AwCCAIJ/BQYATgC/BQYATgD/BQYATgA/BgYATgB/ BgYADgAAAA/wEAAAAFcLAADbCgAA6gsAADsLAAAPAA3wQQAAAAAAnw8EAAAABAAAAAAAqA8DAAAA Pz8/AAChDyIAAAAEAAAAAAAwKAAAAgAAAAAAAQAyAAQAAAABAAMAAQABAAoADwAE8GAAAAAiBwrw CAAAAFAkAAACCgAAgwAL8DAAAACFAAIAAACHAAEAAACBAQQAAAiDAQAAAAi/AQAAEADAAQEAAAj/ AQgACAABAgIAAAgAAA/wEAAAAOAKAACACgAAYAwAANALAAAPAATw9gAAAAIACvAIAAAAUSQAAAIK AACDAQvwxgAAAAQAAAAAAEIBMAMAAEMB4AEAAEQBBAAAAEXBHAAAAEbBFAAAAH8BAQABAIEBBAAA CIMBAAAACIbBAAAAAL8BAAAQAMABAQAACMQBAAAAAM4BBgAAANABAQAAANEBAAAAANIBAQAAANMB AQAAANQBAQAAANUBAQAAANcBAgAAAP8BGAAYAAECAgAACIgDAAAAAAcABwDw/wAAAAA7AIIAdwAE Af8AVAGHAaQBWwLCATAD4AEHAAgAAgAAQACtASAArQEgAKwAgAAAD/AQAAAAkAYAABAFAADACQAA 8AYAAA8ABPD2AAAAAgAK8AgAAABSJAAAQgoAAIMBC/DGAAAABAAAAAAAQgEwAwAAQwHgAQAARAEE AAAARcEcAAAARsEUAAAAfwEBAAEAgQEEAAAIgwEAAAAIhsEAAAAAvwEAABAAwAEBAAAIxAEAAAAA zgEGAAAA0AEBAAAA0QEAAAAA0gEBAAAA0wEBAAAA1AEBAAAA1QEBAAAA1wECAAAA/wEYABgAAQIC AAAIiAMAAAAABwAHAPD/AAAAADsAggB3AAQB/wBUAYcBpAFbAsIBMAPgAQcACAACAABAAK0BIACt ASAArACAAAAP8BAAAABKCwAAEAUAAHoOAADwBgAADwAE8FoAAABCAQrwCAAAAFMkAABCCgAAcwAL 8CoAAABEAQQAAAB/AQAAAQC/AQAAEADAAQEAAAjRAQMAAAD/ARgAGAABAgIAAAgAAA/wEAAAADsH AADFBAAAsQkAAMUEAAAPAATwWgAAAEIBCvAIAAAAVCQAAAIKAABzAAvwKgAAAEQBBAAAAH8BAAAB AL8BAAAQAMABAQAACNEBBAAAAP8BGAAYAAECAgAACAAAD/AQAAAAUwsAAMUEAADJDQAAxQQAAA8A BPDuAAAAogwK8AgAAABZJAAAAgoAAOMAC/BUAAAAgAC8D8cAgQAAAAAAggAAAAAAgwAAAAAAhAAA AAAAhQACAAAAhwAEAAAAvwACAAIAgQEEAAAIgwEAAAAIvwEAABAAwAEBAAAI/wEAAAgAAQICAAAI EwAi8QYAAAC/AQAAYAAAAA/wEAAAAMULAAAdCQAA/xAAAJAJAAAPAA3wVAAAAAAAnw8EAAAABAAA AAAAqA8WAAAAU2ltcGxpZmllZCBTT0EvV1MgVmlldwAAoQ8iAAAAFwAAAAAAMCgAAAIAAAAAAAEA MgAXAAAAAQADAAEAAQAMAA8AA/DqAQAADwAE8HoAAAABAAnwEAAAAJAPAABgCQAAYBUAAKAOAAAC AArwCAAAAGwkAAABAgAAEwAL8AYAAACIAwAAAAAAABDwCAAAAMAJkA9gFQAPDwAR8CwAAAAPABQQ JAAAAAEA8Q8cAAAAAAAABwBEAAAAAAAAAAAAAAMAAQABAAAAAAAUMA8ABPBsAAAAMgAK8AgAAABn JAAAAgoAAKMAC/A8AAAAhQACAAAAhwABAAAAgQEEAAAIgwEAAAAIvwEAABAAwAH/MwAAywGfbwAA /wEIAAgAAQICAAAIiAMHAAAAAAAP8BAAAACQDwAAYAkAADASAADgDQAADwAE8OwAAADSAwrwCAAA AGkkAAACCgAAwwAL8EgAAACAAAQbxwC/AAAAAgBHASvt//9IAST6//+BAQQAAAiDAQAAAAi/AQAA EADAAf8zAAD/AQgACAABAgIAAAh/AwAADACIAwcAAAAAAA/wEAAAAMASAADQCwAAYBUAAKAOAAAP AA3wbAAAAAAAnw8EAAAABAAAAAAAqA8wAAAARGVjaXNpb25zC2Fib3V0C3N1cHBvcnRlZAthcnRp ZmFjdHMLbmVlZGVkIGhlcmUuAAChDyAAAAAxAAAAAAAwCAAAAgAAAAAAAQAxAAAAAQADAAEAAQAM AA8AA/CJAQAADwAE8DgAAAABAAnwEAAAAIATAADAAwAAEBQAAFAEAAACAArwCAAAAG8kAAABAgAA AAAQ8AgAAAAvAKkVORa/AA8ABPBgAAAAkgAK8AgAAABtJAAAAgoAAIMAC/AwAAAAhQACAAAAhwAB AAAAgQECAAAIgwEAAAAIvwEQABAAwAEBAAAI/wEIAAgAAQICAAAIAAAP8BAAAACAEwAAwAMAABAU AABQBAAADwAE8NkAAACiDArwCAAAAG4kAAACCgAA4wAL8FQAAACAAFCUuwGBAAAAAACCAAAAAACD AAAAAACEAAAAAACFAAIAAACHAAQAAAC/AAIAAgCBAQQAAAiDAQAAAAi/AQAAEADAAQEAAAj/AQAA CAABAgIAAAgTACLxBgAAAL8BAABgAAAAD/AQAAAAshMAANgDAADeEwAAOAQAAA8ADfA/AAAAAACf DwQAAAAEAAAAAACoDwEAAAAyAAChDyIAAAACAAAAAAAwIAAAAgAAAAAAMgACAAAAAQAGAAEACgAA AAAADwAD8BsEAAAPAATwbAAAAAEACfAQAAAA8AAAABkLAABZEQAARA4AAAIACvAIAAAAcSQAAAEC AAAAABDwCAAAABkL8ABZEUQODwAR8CwAAAAPABQQJAAAAAEA8Q8cAAAAAAAABwBEAAAAAAAAAAAA AAIAAQABAAAAAAAUMA8AA/DLAgAADwAE8EAAAAABAAnwEAAAABAFAAC5CgAAWREAAOQNAAACAArw CAAAAGUkAAADAgAAAAAP8BAAAAAQBQAAGQsAAFkRAABEDgAADwAD8HQBAAAPAATwQAAAAAEACfAQ AAAAEAUAALkKAABZEQAA5A0AAAIACvAIAAAAYiQAAAMCAAAAAA/wEAAAABAFAAC5CgAAWREAAOQN AAAPAATwWgAAAEIBCvAIAAAAXyQAAAIKAABzAAvwKgAAAEQBBAAAAH8BAAABAL8BAAAQAMABAADM AMsBn28AAP8BGAAYAAECAgAACAAAD/AQAAAAEAUAAOAKAAAQBQAA4A0AAA8ABPBgAAAAQgEK8AgA AABgJAAAAgoAAIMAC/AwAAAARAEEAAAAfwEAAAEAvwEAABAAwAEAAMwAywGfbwAA0AEBAAAA/wEY ABgAAQICAAAIAAAP8BAAAABREQAAuQoAAFkRAADgDQAADwAE8FoAAABCAQrwCAAAAGEkAAACCgAA cwAL8CoAAABEAQQAAAB/AQAAAQC/AQAAEADAAQAAzADLAZ9vAAD/ARgAGAABAgIAAAgAAA/wEAAA ABAFAADgDQAATxEAAOQNAAAPAATw/wAAAKIMCvAIAAAAYyQAAAIKAADjAAvwVAAAAIAAeBXHAIEA AAAAAIIAAAAAAIMAAAAAAIQAAAAAAIUAAgAAAIcABAAAAL8AAgACAIEBBAAACIMBAAAACL8BAAAQ AMABAQAACP8BAAAIAAECAgAACBMAIvEGAAAAvwEAAGAAAAAP8BAAAAATBwAAUA0AACsPAADDDQAA DwAN8GUAAAAAAJ8PBAAAAAQAAAAAAKgPIwAAAFN0YW5kYXJkaXplZCBDb252ZXJzaW9uIE1ldGhv ZG9sb2d5AAChDyYAAAAkAAAAAAAwKAAAAgAAAAAAAQAyACQAAAABAAcAAQABAAwAAADM/g8ABPDM AAAA0gMK8AgAAABwJAAAAgoAALMAC/BCAAAAgACs9ZECvwAAAAIARwF0ggAASAH5RgAAgQEEAAAI gwEAAAAIvwEAABAAwAEAAMwA/wEIAAgAAQICAAAIfwMAAAwAAAAP8BAAAADwAAAAwAwAAJADAABA DgAADwAN8FIAAAAAAJ8PBAAAAAQAAAAAAKgPFgAAAFByb3Bvc2VkC0lFVEYgTyZNC3dvcmsAAKEP IAAAABcAAAAAADAIAAACAAAAAAABABcAAAABAAMAAQABAAwADwAE8EgAAAASAArwCAAAAAEkAAAA DAAAgwAL8DAAAACBAQAAAAiDAQUAAAiTAY6fiwCUAd69aAC/ARIAEgD/AQAACAAEAwkAAAA/AwEA AQAvAAXwIAAAAAAAF/AIAAAABAAAAGkkAAAAABfwCAAAAAYAAABwJAAAEADwByAAAAD///8AAAAA AF9fXwAAZjMAzJkAADuBLwCZZgAAr785AA8AiBPSBQAADwCKE8oFAAAAALoPEAAAAF8AXwBfAFAA UABUADEAMAAAAIsTqgUAAAAA6y4IAAAAhmrHAZDAeMcAAAArBAAAANnIYp4fAETxfgUAAAAAJ/Eg AAAAAAAAAAMAAAAAAAAAAAAAAAAAAAAAANsB/////xIAAAAPAD3xDQAAAEABQvEFAAAAAQkAAAAf AETxOQUAAAAAJ/EgAAAAAAAAAAAAAAABAAAAAAAAAAAAAAAAlRMA/////xgAAAAPAD3xDQAAAEAB QvEFAAAAAQQAAAAAAEHxFAAAAAEAAAABAAAAAAAAAAAAAAADAAAAPwAl8SwAAAAAACjxEAAAAAEA AAAJAAAAAAAAAAAAAAAPADzxDAAAAAAAASsEAAAAAQAAAE8AJfEsAAAAAAAo8RAAAAABAAAACgAA AAAAAAAAAAAADwA88QwAAAAAAAErBAAAAAEAAAAfAETxNAIAAAAAJ/EgAAAAAAAAAAAAAAAAAAAA AwAAAAAAAAAAAAAAAAAAAAEAAAAPAD3xAAAAAB8AJfEYAAAAAAAo8RAAAAAAAAAAAAAAAAAAAAD/ ////HwBE8dwBAAAAACfxIAAAAAAAAAAAAAAAAAAAAAMAAAAAAAAAAAAAAAAAAAABAAAADwA98QAA AAAfACXxGAAAAAAAKPEQAAAAAAAAAAAAAAAAAAAAAAAAAB8ARPGEAQAAAAAn8SAAAAAAAAAAAAAA AAAAAAADAAAAAAAAAAAAAAAAAAAAAQAAAA8APfE0AAAAQAFC8QUAAAABAQAAAJAAQvEFAAAAAQEA AACgAELxBQAAAAEAAAAAsABC8QUAAAABAQAAAB8AJfEYAAAAAAAo8RAAAAAAAAAAAAAAAAAAAAAA AAAAHwBE8fgAAAAAACfxIAAAAAAAAAAAAAAAAwAAAAMAAAAAAAAAAAAAAAEAAAAZAAAADwA98QAA AAAPADHxoAAAAAAAOvEIAAAAAQAAAAEAAAAQAELxEQAAAAN2AGkAcwBpAGIAbABlAAAADwAq8W8A AAAAADPxEAAAAAQAAAAAAAAAAAAAAAAAAAAfAD7xKwAAAAAAQvEjAAAAA3MAdAB5AGwAZQAuAHYA aQBzAGkAYgBpAGwAaQB0AHkAAAAPADzxHAAAAAAA+yoUAAAAAAAAAAEAAABxJAAA//////////8f ACXxGAAAAAAAKPEQAAAAAAAAAAAAAAAAAAAAAAAAAB8ARPE0AgAAAAAn8SAAAAAAAAAAAAAAAAAA AAADAAAAAAAAAAAAAAAAAAAAAQAAAA8APfEAAAAAHwAl8RgAAAAAACjxEAAAAAAAAAAAAAAAAAAA AP////8fAETx3AEAAAAAJ/EgAAAAAAAAAAAAAAAAAAAAAwAAAAAAAAAAAAAAAAAAAAEAAAAPAD3x AAAAAB8AJfEYAAAAAAAo8RAAAAAAAAAAAAAAAAAAAAAAAAAAHwBE8YQBAAAAACfxIAAAAAAAAAAA AAAAAAAAAAMAAAAAAAAAAAAAAAAAAAABAAAADwA98TQAAABAAULxBQAAAAEBAAAAkABC8QUAAAAB AQAAAKAAQvEFAAAAAQAAAACwAELxBQAAAAEBAAAAHwAl8RgAAAAAACjxEAAAAAAAAAAAAAAAAAAA AAAAAAAfAETx+AAAAAAAJ/EgAAAAAAAAAAAAAAADAAAAAwAAAAAAAAAAAAAAAQAAABkAAAAPAD3x AAAAAA8AMfGgAAAAAAA68QgAAAABAAAAAQAAABAAQvERAAAAA3YAaQBzAGkAYgBsAGUAAAAPACrx bwAAAAAAM/EQAAAABAAAAAAAAAAAAAAAAAAAAB8APvErAAAAAABC8SMAAAADcwB0AHkAbABlAC4A dgBpAHMAaQBiAGkAbABpAHQAeQAAAA8APPEcAAAAAAD7KhQAAAAAAAAAAQAAAGwkAAD///////// /x8AJfEYAAAAAAAo8RAAAAAAAAAAAAAAAAAAAAAAAAAADwACKwAAAAAPAO4DiQIAAAIA7wMYAAAA AQAAAA0OAAAAAAAAAQAAgAAAAAAHABQwDwAMBKABAAAPAALwmAEAAHAACPAIAAAAAwAAAAMcAAAP AAPwMAEAAA8ABPAoAAAAAQAJ8BAAAAAAAAAAAAAAAAAAAAAAAAAAAgAK8AgAAAAAHAAABQAAAA8A BPB4AAAAEgAK8AgAAAACHAAAIAIAAGMAC/AkAAAABAAAAAAAfwAAAAQAgACYJ8cAvwEAAAEA/wEA AAEAAQMCEAAAAAAQ8AgAAACQACABYBXIAg8AEfAQAAAAAADDCwgAAAAAAAAADQDHAA8ADfAMAAAA AACeDwQAAAAAAAAADwAE8HgAAAASAArwCAAAAAMcAAAgAgAAYwAL8CQAAAAEAAAAAAB/AAAABACA AEAoxwC/AQAAAQD/AQAAAQABAwMQAAAAABDwCAAAANACIAFgFYEPDwAR8BAAAAAAAMMLCAAAAAEA AAAOAMcADwAN8AwAAAAAAJ4PBAAAAAEAAAAPAATwSAAAABIACvAIAAAAARwAAAAMAACDAAvwMAAA AIEBAAAACIMBBQAACJMBjp+LAJQB3r1oAL8BEgASAP8BAAAIAAQDCQAAAD8DAQABABAA8AcgAAAA ////AAAAAABfX18AAGYzAMyZAAA7gS8AmWYAAK+/OQAPAIgTkQAAAA8AihOJAAAAAAC6DxAAAABf AF8AXwBQAFAAVAAxADAAAACLE2kAAAAAAOsuCAAAAIJqxwHQgzRiAAAAKwQAAAAAAAAAHwBE8T0A AAAAACfxIAAAAAAAAAADAAAAAAAAAAAAAAAAAAAAAADbAf////8SAAAADwA98Q0AAABAAULxBQAA AAEJAAAADwACKwAAAAAPAO4DhDQAAAIA7wMYAAAABwAAAA0AAAAAAAAAAQAAgAAAAAAHABQwDwAM BJYwAAAPAALwjjAAAAABCPAIAAAAMgAAAGxAAADgARjxeAAAAAEAAAACAAEAAwAAAAQAAwAFAAQA BgAEAAcABAAIAAQACQACAAoAAgALAAIADAACAA0AAAAOAAAADwAAABAAAAARAAAAEgAAABMAAAAU AAAAFQAAABYAAAAXAAAAGAAAABkAAAAaAAAAGwAaABwAGgAdAAAAHgAdAA8AA/CmLwAADwAE8CgA AAABAAnwEAAAAAAAAAAAAAAAAAAAAAAAAAACAArwCAAAAABAAAAFAAAADwAE8HIAAAASAArwCAAA AARAAAAgAgAAUwAL8B4AAAB/AAAABACAAPQeuwG/AQAAAQD/AQAAAQABAwIQAAAAABDwCAAAAJAA IAFgFcgCDwAR8BAAAAAAAMMLCAAAAAAAAAANALkBDwAN8AwAAAAAAJ4PBAAAAAAAAAAPAAPwbiQA AA8ABPA4AAAAAQAJ8BAAAABgAwAAwAMAAPASAADADAAAAgAK8AgAAABbQAAAAQIAAAAAEPAIAAAA +ALQAmAS+AsPAAPw2AEAAA8ABPBUAAAAAQAJ8BAAAABgAwAA8AkAAHAFAACgCwAAAgAK8AgAAABO QAAAAwIAACMAC/AMAAAABAAAAAAAiAMdAAAAAAAP8BAAAABgAwAA0goAAPgFAADADAAADwAE8GYA AAASAArwCAAAAAlAAAACCgAAkwAL8DYAAACFAAIAAACHAAEAAACBAQQAAAiDAQAAAAi/AQAAEADA AQBmAAD/AQgACAABAgIAAAiIAxkAAAAAAA/wEAAAAGADAADwCQAAcAUAAKALAAAPAATwBgEAAKIM CvAIAAAACkAAAAIKAADzAAvwWgAAAIAAWN67AYEAAAAAAIIAAAAAAIMAAAAAAIQAAAAAAIUAAgAA AIcABAAAAL8AAgACAIEBBAAACIMBAAAACL8BAAAQAMABAQAACP8BAAAIAAECAgAACIgDGQAAAFMA IvEeAAAAvwEAAGAAfwUAAAgAvwUAAAgA/wUAAAgAPwYAAAgAAAAP8BAAAACvAwAAYwoAACEFAAAt CwAADwAN8E4AAAAAAJ8PBAAAAAQAAAAAAKgPDAAAAFNOTVALTWFuYWdlcgAAoQ8mAAAADQAAAAAA MCgAAAIAAAAAAAEAMgANAAAAAQAHAAEAAQAMAABmAP4PAAPwvgEAAA8ABPBUAAAAAQAJ8BAAAAAQ DgAAIAcAACAQAADQCAAAAgAK8AgAAAA4QAAAAwIAACMAC/AMAAAABAAAAAAAiAMdAAAAAAAP8BAA AABYEAAA0goAAPASAADADAAADwAE8GYAAAASAArwCAAAAAxAAAACCgAAkwAL8DYAAACFAAIAAACH AAEAAACBAQQAAAiDAQAAAAi/AQAAEADAAQBmAAD/AQgACAABAgIAAAiIAwgAAAAAAA/wEAAAABAO AAAgBwAAIBAAANAIAAAPAATw7AAAAKIMCvAIAAAADUAAAAIKAADzAAvwWgAAAIAAkO67AYEAAAAA AIIAAAAAAIMAAAAAAIQAAAAAAIUAAgAAAIcABAAAAL8AAgACAIEBBAAACIMBAAAACL8BAAAQAMAB AQAACP8BAAAIAAECAgAACIgDCAAAABMAIvEGAAAAvwEAAGAAAAAP8BAAAACaDgAAkwcAAJYPAABd CAAADwAN8EwAAAAAAJ8PBAAAAAQAAAAAAKgPCgAAAFNOTVALQWdlbnQAAKEPJgAAAAsAAAAAADAo AAACAAAAAAABADIACwAAAAEABwABAAEADAAAZgD+DwAD8MABAAAPAATwVAAAAAEACfAQAAAAYAMA AMADAABwBQAAcAUAAAIACvAIAAAAVEAAAAMCAAAjAAvwDAAAAAQAAAAAAIgDHQAAAAAAD/AQAAAA YAMAAMADAAD4BQAArgUAAA8ABPBmAAAAEgAK8AgAAAAgQAAAAgoAAJMAC/A2AAAAhQACAAAAhwAB AAAAgQEEAAAIgwEAAAAIvwEAABAAwAEAAMwA/wEIAAgAAQICAAAIiAMOAAAAAAAP8BAAAABgAwAA wAMAAHAFAABwBQAADwAE8O4AAACiDArwCAAAACFAAAACCgAA8wAL8FoAAACAAKjguwGBAAAAAACC AAAAAACDAAAAAACEAAAAAACFAAIAAACHAAQAAAC/AAIAAgCBAQQAAAiDAQAAAAi/AQAAEADAAQEA AAj/AQAACAABAgIAAAiIAw4AAAATACLxBgAAAL8BAABgAAAAD/AQAAAAywMAADMEAAAFBQAA/QQA AA8ADfBOAAAAAACfDwQAAAAEAAAAAACoDwwAAABNZ210C1NlcnZpY2UAAKEPJgAAAA0AAAAAADAo AAACAAAAAAABADIADQAAAAEABwABAAEADAAAAMz+DwAD8MEBAAAPAATwVAAAAAEACfAQAAAAsA0A AMADAADADwAAcAUAAAIACvAIAAAAVUAAAAMCAAAjAAvwDAAAAAQAAAAAAIgDHQAAAAAAD/AQAAAA WBAAAMADAADwEgAArgUAAA8ABPBmAAAAEgAK8AgAAAAjQAAAAgoAAJMAC/A2AAAAhQACAAAAhwAB AAAAgQEEAAAIgwEAAAAIvwEAABAAwAEAAMwA/wEIAAgAAQICAAAIiAMPAAAAAAAP8BAAAACwDQAA wAMAAMAPAABwBQAADwAE8O8AAACiDArwCAAAACRAAAACCgAA8wAL8FoAAACAABDZuwGBAAAAAACC AAAAAACDAAAAAACEAAAAAACFAAIAAACHAAQAAAC/AAIAAgCBAQQAAAiDAQAAAAi/AQAAEADAAQEA AAj/AQAACAABAgIAAAiIAw8AAAATACLxBgAAAL8BAABgAAAAD/AQAAAA+g0AADMEAAB3DwAA/QQA AA8ADfBPAAAAAACfDwQAAAAEAAAAAACoDw0AAABNZ210C0VuZHBvaW50AAChDyYAAAAOAAAAAAAw KAAAAgAAAAAAAQAyAA4AAAABAAcAAQABAAwAAADM/g8AA/DRAQAADwAE8EAAAAABAAnwEAAAANwJ AABJBwAAdAwAADcJAAACAArwCAAAAFpAAAADAgAAAAAP8BAAAADcCQAASQcAAHQMAAA3CQAADwAE 8GwAAAASAArwCAAAADRAAAACCgAAowAL8DwAAACFAAIAAACHAAEAAACBAQQAAAiDAQAAAAi/AQAA EADAAf8zAADOAQYAAAD/AQgACAABAgIAAAiIAx4AAAAAAA/wEAAAANwJAABJBwAAdAwAADcJAAAP AATwDQEAAKIMCvAIAAAANUAAAAIKAADzAAvwWgAAAIAA9CPbAYEAAAAAAIIAAAAAAIMAAAAAAIQA AAAAAIUAAgAAAIcABAAAAL8AAgACAIEBBAAACIMBAAAACL8BAAAQAMAB/zMAAP8BAAAIAAECAgAA CIgDHgAAAFMAIvEeAAAAvwEAAGAAfwUAAAgAvwUAAAgA/wUAAAgAPwYAAAgAAAAP8BAAAAA/CgAA lAcAABIMAADtCAAADwAN8FUAAAAAAJ8PBAAAAAQAAAAAAKgPEwAAAFNPQS9XUwstIFNOTVALUHJv eHkAAKEPJgAAABQAAAAAADAoAAACAAAAAAABADIAFAAAAAEABwABAAEADAD/MwD+DwAE8M4AAABC AQrwCAAAAD9AAAACCgAAEwEL8GYAAAC/AAAADwA/AQAABgBEAQQAAAB/AQAAAQC/AQAAEADAAQAA zADLAZwxAADOAQYAAADQAQUAAADRAQUAAAD/AR4AHgABAgIAAAg/AgAAAwC/AgEADwD/AhYAHwB/ AwAADwCIAx0AAACDACLxMAAAAD8BAABAAP8BAACAAb8DAIIAgn8FBgBOAL8FBgBOAP8FBgBOAD8G BgBOAH8GBgAOAAAAD/AQAAAAKAsAAHIFAAAoCwAAPwcAAA8ABPDOAAAAQgEK8AgAAABBQAAAAgoA ABMBC/BmAAAAvwAAAA8APwEAAAYARAEEAAAAfwEAAAEAvwEAABAAwAEAZgAAywGcMQAAzgEGAAAA 0AEFAAAA0QEFAAAA/wEeAB4AAQICAAAIPwIAAAMAvwIBAA8A/wIWAB8AfwMAAA8AiAMdAAAAgwAi 8TAAAAA/AQAAQAD/AQAAgAG/AwCCAIJ/BQYATgC/BQYATgD/BQYATgA/BgYATgB/BgYADgAAAA/w EAAAACgLAABSCQAAKAsAAPkKAAAPAATw9AcAAAIACvAIAAAAS0AAAAIKAAATBwvw3AIAAAQAAAAA AIEAMGUBAIIAmLIAAIMAMGUBAIQAmLIAAIUAAAAAAIcAAAAAAIgAAAAAAIkAAAAAAL8AAAAPAAgB AAABAAkBAAAAAAwB9AAAEA0BAAAAIA4BAAAAID8BAAAGAEIBYAMAAEMBcAIAAEQBBAAAAEXBHAAA AEbBFAAAAH8BAQABAIEBBAAACIMBAAAACIZBAAAAAL8BAAAQAMABAGYAAMEBAAABAMIB////AMMB AAAAIMQBAAAAAMsBnDEAAMwBAAAIAM0BAAAAAM4BCgAAAM/BAAAAANABAAAAANEBAQAAANIBAQAA ANMBAQAAANQBAQAAANUBAQAAANcBAgAAAP8BHgAeAAACAAAAAAECAgAACAICy8vLAAMCAAAAIAQC AAABAAUCOGMAAAYCOGMAAAcCAAAAAAgCAAAAAAkCAAABAAoCAAAAAAsCAAAAAAwCAAABAA0CAAAA AA4CAAAAAA8CAAEAABACAAAAABECAAAAAD8CAAADAIACAAAAAIECAAABAIICBQAAAIMCnDEAAIQC AAAAAIUC8PkGAIYCAAAAAIcC9wAAEIgCAAAAIL8CAQAPAMACAAAAAMECAAAAAMICZAAAAMMCAAAA AMQCAAAAAMUCAAAAAMYCAAAAAMcCAAAAAMgCAAAAAMkCAAAAAMoCMHUAAMsC0BITAMwCMO3s/80C QFSJAM4CAIAAAM8CAID//9ACAAB5/9ECMgAAANICIE4AANMCUMMAANQCAAAAANUCECcAANYCcJQA ANcCsDz//9gCAAAAANkCECcAANoCcJQAAP8CFgAfAAQDAQAAAEEDqCkBAEIDAAAAAEMDAwAAAEQD fL4BAEUDAAAAAH8DAAAPAIQDfL4BAIUDAAAAAIYDfL4BAIcDAAAAAIgDHQAAAAcABwDw/2ADcALo ArQBcAL4AOABkABQASgAqAAUAAAAAAAHAAgAAgAAQACtASAArQEgAKwAgAMNIvHgBAAAGgH///// GwH/////HAH/////HQEAAAAgHsEAAAAAHwH/////PwEAAEAA2QH/////2gH/////2wEAAAAg3MEA AAAA3QH/////3gH/////3wEAAAAg4MEAAAAA4QH/////4gH//////wEAAIABEgL/////EwL///// FAIAAAAgFcIAAAAAFgL/////FwL/////GAIAAAAgGcIAAAAAGgL/////GwL/////iQL/////igL/ ////iwIAAAAgjMIAAAAAjQL/////jwMAAAAAkAMCAAAAkQMAAAAAkgMCAAAAvwMAggCCQAUAAAAA QQUAAAEAQgX///8AQwUAAAAgRAUAAAAARUUAAAAARsUAAAAARwUAAAAASAUAAAAASQUAAAAASgUA AAAASwU1JQAATAUAAAgATQUAAAAATgUAAAAAT8UAAAAAUAUAAAAAUQUAAAAAUgUBAAAAUwUBAAAA VAUBAAAAVQUBAAAAVwUCAAAAWQX/////WgX/////WwUAAAAgXMUAAAAAXQX/////XgX/////XwUA AAAgYMUAAAAAYQX/////YgX/////fwUGAE4AgAUAAAAAgQUAAAEAggX///8AgwUAAAAghAUAAAAA hUUAAAAAhsUAAAAAhwUAAAAAiAUAAAAAiQUAAAAAigUAAAAAiwU1JQAAjAUAAAgAjQUAAAAAjgUA AAAAj8UAAAAAkAUAAAAAkQUAAAAAkgUBAAAAkwUBAAAAlAUBAAAAlQUBAAAAlwUCAAAAmQX///// mgX/////mwUAAAAgnMUAAAAAnQX/////ngX/////nwUAAAAgoMUAAAAAoQX/////ogX/////vwUG AE4AwAUAAAAAwQUAAAEAwgX///8AwwUAAAAgxAUAAAAAxUUAAAAAxsUAAAAAxwUAAAAAyAUAAAAA yQUAAAAAygUAAAAAywU1JQAAzAUAAAgAzQUAAAAAzgUAAAAAz8UAAAAA0AUAAAAA0QUAAAAA0gUB AAAA0wUBAAAA1AUBAAAA1QUBAAAA1wUCAAAA2QX/////2gX/////2wUAAAAg3MUAAAAA3QX///// 3gX/////3wUAAAAg4MUAAAAA4QX/////4gX//////wUGAE4AAAYAAAAAAQYAAAEAAgb///8AAwYA AAAgBAYAAAAABUYAAAAABsYAAAAABwYAAAAACAYAAAAACQYAAAAACgYAAAAACwY1JQAADAYAAAgA DQYAAAAADgYAAAAAD8YAAAAAEAYAAAAAEQYAAAAAEgYBAAAAEwYBAAAAFAYBAAAAFQYBAAAAFwYC AAAAGQb/////Ggb/////GwYAAAAgHMYAAAAAHQb/////Hgb/////HwYAAAAgIMYAAAAAIQb///// Igb/////PwYGAE4AQAYAAAAAQQYAAAEAQgb///8AQwYAAAAgRAYAAAAARUYAAAAARsYAAAAARwYA AAAASAYAAAAASQYAAAAASgYAAAAASwY1JQAATAYAAAgATQYAAAAATgYAAAAAT8YAAAAAUAYAAAAA UQYAAAAAUgYBAAAAUwYBAAAAVAYBAAAAVQYBAAAAVwYCAAAAWQb/////Wgb/////WwYAAAAgXMYA AAAAXQb/////Xgb/////XwYAAAAgYMYAAAAAYQb/////Ygb/////fwYGAA4AAAAP8BAAAAD4BQAA dwgAAI0KAABRCwAADwAE8PQHAAACAArwCAAAAExAAABCCgAAEwcL8NwCAAAEALYmBwCBADBlAQCC AJiyAACDADBlAQCEAJiyAACFAAAAAACHAAAAAACIAAAAAACJAAAAAAC/AAAADwAIAQAAAQAJAQAA AAAMAfQAABANAQAAACAOAQAAACA/AQAABgBCAWADAABDAXACAABEAQQAAABFwRwAAABGwRQAAAB/ AQEAAQCBAQQAAAiDAQAAAAiGwQAAAAC/AQAAEADAAQAAzADBAQAAAQDCAf///wDDAQAAACDEAQAA AADLAZwxAADMAQAACADNAQAAAADOAQoAAADPwQAAAADQAQAAAADRAQEAAADSAQEAAADTAQEAAADU AQEAAADVAQEAAADXAQIAAAD/AR4AHgAAAgAAAAABAgIAAAgCAsvLywADAgAAACAEAgAAAQAFAjhj AAAGAjhjAAAHAgAAAAAIAgAAAAAJAgAAAQAKAgAAAAALAgAAAAAMAgAAAQANAgAAAAAOAgAAAAAP AgABAAAQAgAAAAARAgAAAAA/AgAAAwCAAgAAAACBAgAAAQCCAgUAAACDApwxAACEAgAAAACFAvD5 BgCGAgAAAACHAvcAABCIAgAAACC/AgEADwDAAgAAAADBAgAAAADCAmQAAADDAgAAAADEAgAAAADF AgAAAADGAgAAAADHAgAAAADIAgAAAADJAgAAAADKAjB1AADLAtASEwDMAjDt7P/NAkBUiQDOAgCA AADPAgCA///QAgAAef/RAjIAAADSAiBOAADTAlDDAADUAgAAAADVAhAnAADWAnCUAADXArA8///Y AgAAAADZAhAnAADaAnCUAAD/AhYAHwAEAwEAAABBA6gpAQBCAwAAAABDAwMAAABEA3y+AQBFAwAA AAB/AwAADwCEA3y+AQCFAwAAAACGA3y+AQCHAwAAAACIAx0AAAAHAAcA8P9gA3AC6AK0AXAC+ADg AZAAUAEoAKgAFAAAAAAABwAIAAIAAEAArQEgAK0BIACsAIADDSLx4AQAABoB/////xsB/////xwB /////x0BAAAAIB7BAAAAAB8B/////z8BAABAANkB/////9oB/////9sBAAAAINzBAAAAAN0B//// /94B/////98BAAAAIODBAAAAAOEB/////+IB//////8BAACAARIC/////xMC/////xQCAAAAIBXC AAAAABYC/////xcC/////xgCAAAAIBnCAAAAABoC/////xsC/////4kC/////4oC/////4sCAAAA IIzCAAAAAI0C/////48DAAAAAJADAgAAAJEDAAAAAJIDAgAAAL8DAIIAgkAFAAAAAEEFAAABAEIF ////AEMFAAAAIEQFAAAAAEXFAAAAAEbFAAAAAEcFAAAAAEgFAAAAAEkFAAAAAEoFAAAAAEsFNSUA AEwFAAAIAE0FAAAAAE4FAAAAAE/FAAAAAFAFAAAAAFEFAAAAAFIFAQAAAFMFAQAAAFQFAQAAAFUF AQAAAFcFAgAAAFkF/////1oF/////1sFAAAAIFzFAAAAAF0F/////14F/////18FAAAAIGDFAAAA AGEF/////2IF/////38FBgBOAIAFAAAAAIEFAAABAIIF////AIMFAAAAIIQFAAAAAIXFAAAAAIbF AAAAAIcFAAAAAIgFAAAAAIkFAAAAAIoFAAAAAIsFNSUAAIwFAAAIAI0FAAAAAI4FAAAAAI/FAAAA AJAFAAAAAJEFAAAAAJIFAQAAAJMFAQAAAJQFAQAAAJUFAQAAAJcFAgAAAJkF/////5oF/////5sF AAAAIJzFAAAAAJ0F/////54F/////58FAAAAIKDFAAAAAKEF/////6IF/////78FBgBOAMAFAAAA AMEFAAABAMIF////AMMFAAAAIMQFAAAAAMXFAAAAAMbFAAAAAMcFAAAAAMgFAAAAAMkFAAAAAMoF AAAAAMsFNSUAAMwFAAAIAM0FAAAAAM4FAAAAAM/FAAAAANAFAAAAANEFAAAAANIFAQAAANMFAQAA ANQFAQAAANUFAQAAANcFAgAAANkF/////9oF/////9sFAAAAINzFAAAAAN0F/////94F/////98F AAAAIODFAAAAAOEF/////+IF//////8FBgBOAAAGAAAAAAEGAAABAAIG////AAMGAAAAIAQGAAAA AAXGAAAAAAbGAAAAAAcGAAAAAAgGAAAAAAkGAAAAAAoGAAAAAAsGNSUAAAwGAAAIAA0GAAAAAA4G AAAAAA/GAAAAABAGAAAAABEGAAAAABIGAQAAABMGAQAAABQGAQAAABUGAQAAABcGAgAAABkG//// /xoG/////xsGAAAAIBzGAAAAAB0G/////x4G/////x8GAAAAICDGAAAAACEG/////yIG/////z8G BgBOAEAGAAAAAEEGAAABAEIG////AEMGAAAAIEQGAAAAAEXGAAAAAEbGAAAAAEcGAAAAAEgGAAAA AEkGAAAAAEoGAAAAAEsGNSUAAEwGAAAIAE0GAAAAAE4GAAAAAE/GAAAAAFAGAAAAAFEGAAAAAFIG AQAAAFMGAQAAAFQGAQAAAFUGAQAAAFcGAgAAAFkG/////1oG/////1sGAAAAIFzGAAAAAF0G//// /14G/////18GAAAAIGDGAAAAAGEG/////2IG/////38GBgAOAAAAD/AQAAAAfgUAAHEFAAByCgAA SwgAAA8AA/AaAgAADwAE8FQAAAABAAnwEAAAAGADAADYBgAAcAUAAIgIAAACAArwCAAAAE1AAAAD AgAAIwAL8AwAAAAEAAAAAACIAx0AAAAAAA/wEAAAAGADAABJBwAA+AUAADcJAAAPAATwpAAAABIA CvAIAAAARUAAAAIKAACjAAvwPAAAAH8AAAAEAIAAhDC7AYUAAgAAAIcAAQAAAIMBAAAACL8BEAAQ AMAB/zMAAP8BCAAIAAECAgAACIgDGAAAAAAAD/AQAAAAYAMAANgGAABwBQAAiAgAAA8ADfAwAAAA AACfDwQAAAAEAAAAAAChDxwAAAABAAAAAAAwCAAAAgAAAAAAAQABAAAAAQAAAAEADwAE8AoBAACi DArwCAAAAEZAAAACCgAAAwEL8GAAAACAABAA2wGBAAAAAACCAAAAAACDAAAAAACEAAAAAACFAAIA AACHAAQAAAC/AAIAAgCBAQQAAAiDAQAAAAi/AQAAEADAAQEAAAjOAQYAAAD/AQAACAABAgIAAAiI AxgAAABTACLxHgAAAL8BAABgAH8FAAAIAL8FAAAIAP8FAAAIAD8GAAAIAAAAD/AQAAAA7gMAABoH AADiBAAARwgAAA8ADfBMAAAAAACfDwQAAAAEAAAAAACoDwoAAABNSUILMgtSTURMAAChDyYAAAAL AAAAAAAwKAAAAgAAAAAAAQAyAAsAAAABAAcAAQABAAwA/zMA/g8AA/CmAQAADwAE8FQAAAABAAnw EAAAAPgFAAB4BAAAYhAAALAEAAACAArwCAAAAFhAAAADAgAAIwAL8AwAAAAEAAAAAACIAx0AAAAA AA/wEAAAAPgFAACbBAAAYhAAANMEAAAPAATwbAAAAEIBCvAIAAAAJkAAAAIKAACjAAvwPAAAAEQB BAAAAH8BAAABAL8BAAAQAMABAADMAMsBnDEAANABBQAAANEBBQAAAP8BGAAYAAECAgAACIgDGwAA AAAAD/AQAAAA+AUAAHgEAABiEAAAeAQAAA8ABPDOAAAAQgEK8AgAAABPQAAAAgoAABMBC/BmAAAA vwAAAA8APwEAAAYARAEEAAAAfwEAAAEAvwEAABAAwAEAAMwAywGcMQAAzgEGAAAA0AEFAAAA0QEF AAAA/wEeAB4AAQICAAAIPwIAAAMAvwIBAA8A/wIWAB8AfwMAAA8AiAMbAAAAgwAi8TAAAAA/AQAA QAD/AQAAgAG/AwCCAIJ/BQYATgC/BQYATgD/BQYATgA/BgYATgB/BgYADgAAAA/wEAAAAPgFAACw BAAAIwoAALAEAAAPAAPw+QEAAA8ABPBUAAAAAQAJ8BAAAACABwAA8AMAAAAJAABABQAAAgAK8AgA AAA9QAAAAwIAACMAC/AMAAAABAAAAAAAiAMdAAAAAAAP8BAAAAA3CgAA9wMAABkMAAB3BQAADwAE 8GAAAAAiBwrwCAAAAC1AAAACCgAAgwAL8DAAAACFAAIAAACHAAEAAACDAQAAAAi/ARAAEADAAQAA zAD/AQgACAABAgIAAAiIAxAAAAAAAA/wEAAAAIAHAADwAwAAAAkAAEAFAAAPAATwLQEAAKIMCvAI AAAALEAAAAIKAAAjAQvwbAAAAIAA+G27AYEAAAAAAIIAAAAAAIMAAAAAAIQAAAAAAIUAAgAAAIcA BAAAAL8AAgAPAD8BAAAGAIEBBAAACIMBAAAACL8BDAAeAMABAQAACP8BBgAOAAECAgAACD8CAAAD AH8DAAAPAIgDEAAAAJMAIvE2AAAAPwEAAEAAvwEAAGAA/wEAAMABvwMAggCCfwUGAE4AvwUGAE4A /wUGAE4APwYGAE4AfwYGAA4AAAAP8BAAAADWBwAAJwQAAKsIAADPBAAADwAN8EsAAAAAAJ8PBAAA AAQAAAAAAKgPCQAAAFJlcwtNb2RlbAAAoQ8mAAAACgAAAAAAMCgAAAIAAAAAAAEAMgAKAAAAAQAH AAEAAQAKAAAAzP4PAAPwpgEAAA8ABPBUAAAAAQAJ8BAAAAD8BQAA0AsAAGYQAAAHDAAAAgAK8AgA AABXQAAAAwIAACMAC/AMAAAABAAAAAAAiAMdAAAAAAAP8BAAAAD8BQAArgsAAGYQAADlCwAADwAE 8GwAAABCAQrwCAAAAFJAAADCCgAAowAL8DwAAABEAQQAAAB/AQAAAQC/AQAAEADAAQBmAADLAZwx AADQAQUAAADRAQUAAAD/ARgAGAABAgIAAAiIAxwAAAAAAA/wEAAAAPwFAAAHDAAAZhAAAAcMAAAP AATwzgAAAEIBCvAIAAAAU0AAAMIKAAATAQvwZgAAAL8AAAAPAD8BAAAGAEQBBAAAAH8BAAABAL8B AAAQAMABAGYAAMsBnDEAAM4BBgAAANABBQAAANEBBQAAAP8BHgAeAAECAgAACD8CAAADAL8CAQAP AP8CFgAfAH8DAAAPAIgDHAAAAIMAIvEwAAAAPwEAAEAA/wEAAIABvwMAggCCfwUGAE4AvwUGAE4A /wUGAE4APwYGAE4AfwYGAA4AAAAP8BAAAAAzDAAA0AsAAFYQAADQCwAADwAD8PMBAAAPAATwVAAA AAEACfAQAAAAUAoAABAIAADQCwAAYAkAAAIACvAIAAAAPkAAAAMCAAAjAAvwDAAAAAQAAAAAAIgD HQAAAAAAD/AQAAAANwoAAAkLAAAZDAAAiQwAAA8ABPBgAAAAIgcK8AgAAAAWQAAAAgoAAIMAC/Aw AAAAhQACAAAAhwABAAAAgwEAAAAIvwEQABAAwAEAZgAA/wEIAAgAAQICAAAIiAMRAAAAAAAP8BAA AABQCgAAEAgAANALAABgCQAADwAE8CcBAACiDArwCAAAABVAAAACCgAAIwEL8GwAAACAACADuwGB AAAAAACCAAAAAACDAAAAAACEAAAAAACFAAIAAACHAAQAAAC/AAIADwA/AQAABgCBAQQAAAiDAQAA AAi/AQwAHgDAAQEAAAj/AQYADgABAgIAAAg/AgAAAwB/AwAADwCIAxEAAACTACLxNgAAAD8BAABA AL8BAABgAP8BAADAAb8DAIIAgn8FBgBOAL8FBgBOAP8FBgBOAD8GBgBOAH8GBgAOAAAAD/AQAAAA yAoAAHEIAABYCwAAxQgAAA8ADfBFAAAAAACfDwQAAAAEAAAAAACoDwMAAABNSUIAAKEPJgAAAAQA AAAAADAoAAACAAAAAAABADIABAAAAAEABwABAAEACgAAZgD+DwAE8FsBAAASAArwCAAAAFxAAAAA CgAAEwEL8GYAAAB/AAAABQCAAIT42wGBAAAAAACCAAAAAACDAAAAAACEAAAAAACFAAIAAAC/AAIA DwA/AQAABgCBAQQAAAiDAQAAAAi/AQwAHwDAAQEAAAj/AQYADwABAgIAAAg/AgAAAwB/AwAADwCT ACLxNgAAAD8BAABAAL8BAABgAP8BAADAAb8DAIIAgn8FBgBOAL8FBgBOAP8FBgBOAD8GBgBOAH8G BgAOAAAAEPAIAAAAQA6ADW4V7Q4PAA3whwAAAAAAnw8EAAAAAQAAAAAAqA9RAAAAU05NUCBNYW5h Z2VyIGNvbXBvbmVudCBub3QgcmVxdWlyZWQNTXVsdGlwbGUgaW5zdGFuY2VzIG9mIGFsbCBjb21w b25lbnRzIHBvc3NpYmxlAAChDxoAAABSAAAAAAABEAAADgBQAFIAAAABAAIAAQAKAA8ABPCYAQAA EgAK8AgAAABdQAAAAAoAAAMBC/BgAAAAfwAAAAUAgAD4T9sBgQAAAAAAggAAAAAAgwAAAAAAhAAA AAAAhQACAAAAvwACAA8AgQEEAAAIgwEAAAAIvwEMAB8AwAEBAAAI/wEGAA8AAQICAAAIPwIAAAMA fwMAAA8AIwAi8QwAAAC/AQAAYAC/AwCCAIIAABDwCAAAAKMMIAE4CbANDwAN8PQAAAAAAJ8PBAAA AAEAAAAAAKgPdgAAAEJsdWUgaW5kaWNhdGVzIFNPQS9XUyBtZ210IGNvbXBvbmVudHMNR3JlZW4g aW5kaWNhdGVzIFNOTVAgbWdtdCBjb21wb25lbnRzIA1SZWQgaW5kaWNhdGVzIGludGVybWVkaWFy eSBtZ210IGNvbXBvbmVudHMAAKEPYgAAAHcAAAAAAAEQAAAOAFAABAAAAAEABgABAAoAAADM/iIA AAABAAIAAQAKAAUAAAABAAYAAQAKAABmAP4hAAAAAQACAAEACgADAAAAAQAGAAEACgD/MwD+KAAA AAEAAgABAAoADwAD8DIDAAAPAATwOAAAAAEACfAQAAAAsAEAAOANAABMDAAA7Q4AAAIACvAIAAAA YkAAAAECAAAAABDwCAAAAOANIAG8C+0ODwAE8MoBAAASAArwCAAAAF5AAAACCgAAEwEL8GYAAAB/ AAAABQCAAKSE2wGBAAAAAACCAAAAAACDAAAAAACEAAAAAACFAAIAAAC/AAIADwA/AQAABgCBAQQA AAiDAQAAAAi/AQwAHwDAAQEAAAj/AQYADwABAgIAAAg/AgAAAwB/AwAADwCTACLxNgAAAD8BAABA AL8BAABgAP8BAADAAb8DAIIAgn8FBgBOAL8FBgBOAP8FBgBOAD8GBgBOAH8GBgAOAAAAD/AQAAAA YAMAAOANAABMDAAA7Q4AAA8ADfDuAAAAAACfDwQAAAABAAAAAACoD5YAAABTb2xpZCBsaW5lcyBp bmRpY2F0ZSB0aGUgbmF0aXZlIG1nbXQgcHJvdG9jb2wgcGF0aHMNRGFzaGVkIGxpbmVzIGluZGlj YXRlIHByb3hpZWQgbWdtdCBwcm90b2NvbCBwYXRocw1RdWlya3kgbGluZXMgaW5kaWNhdGUgb25j ZS1vbmx5IGNvbnZlcnNpb24gcGF0aHMAAKEPGgAAAJcAAAAAAAEQAAAOAFAAlwAAAAEAAgABAAoA AACqDxoAAABKAAAAAAAAAAcAAAABAAAAAwBGAAAAAAAAAA8ABPBUAAAAQgEK8AgAAABfQAAAAgoA AGMAC/AkAAAARAEEAAAAfwEAAAEAvwEAABAAwAEBAAAI/wEYABgAAQICAAAIAAAP8BAAAACwAQAA EA4AADADAAAQDgAADwAE8FoAAABCAQrwCAAAAGBAAAACCgAAcwAL8CoAAABEAQQAAAB/AQAAAQC/ AQAAEADAAQEAAAjOAQYAAAD/ARgAGAABAgIAAAgAAA/wEAAAALABAABwDgAAMAMAAHAOAAAPAATw WgAAAEIBCvAIAAAAYUAAAAIKAABzAAvwKgAAAEQBBAAAAH8BAAABAL8BAAAQAMABAQAACM4BCgAA AP8BGAAYAAECAgAACAAAD/AQAAAAsAEAANAOAAAwAwAA0A4AAA8AA/CXAQAADwAE8EYAAAABAAnw EAAAAIATAADAAwAAEBQAAFAEAAACAArwCAAAAGpAAAABAgAAEwAL8AYAAACIAwAAAAAAABDwCAAA AC8AqRU5Fr8ADwAE8GAAAACSAArwCAAAAGtAAAACCgAAgwAL8DAAAACFAAIAAACHAAEAAACBAQIA AAiDAQAAAAi/ARAAEADAAQEAAAj/AQgACAABAgIAAAgAAA/wEAAAAIATAADAAwAAEBQAAFAEAAAP AATw2QAAAKIMCvAIAAAAbEAAAAIKAADjAAvwVAAAAIAAJF7bAYEAAAAAAIIAAAAAAIMAAAAAAIQA AAAAAIUAAgAAAIcABAAAAL8AAgACAIEBBAAACIMBAAAACL8BAAAQAMABAQAACP8BAAAIAAECAgAA CBMAIvEGAAAAvwEAAGAAAAAP8BAAAACyEwAA2AMAAN4TAAA4BAAADwAN8D8AAAAAAJ8PBAAAAAQA AAAAAKgPAQAAADEAAKEPIgAAAAIAAAAAADAgAAACAAAAAAAyAAIAAAABAAYAAQAKAAAAAAAPAAPw ogIAAA8ABPBsAAAAAQAJ8BAAAADADAAArgUAAPAVAAAgCgAAAgAK8AgAAABoQAAAAQIAAAAAEPAI AAAAPwXuDB4WsQkPABHwLAAAAA8AFBAkAAAAAQDxDxwAAAAAAAAHAEQAAAAAAAAAAAAAAgABAAEA AAAAABQwDwAE8GAAAAAiAArwCAAAAGdAAAACCgAAgwAL8DAAAACFAAIAAACHAAEAAACBAQQAAAiD AQAAAAi/ARAAEADAAQEAAAj/AQgACAABAgIAAAgAAA/wEAAAAMAMAACuBQAA8BUAACAKAAAPAATw vgEAAKIMCvAIAAAAZkAAAAIKAADjAAvwVAAAAIAApNG7AYEAAAAAAIIAAAAAAIMAAAAAAIQAAAAA AIUAAgAAAIcABAAAAL8AAgACAIEBBAAACIMBAAAACL8BAAAQAMABAQAACP8BAAAIAAECAgAACBMA IvEGAAAAvwEAAGAAAAAP8BAAAAD9DAAAEgYAALMVAAC8CQAADwAN8CQBAAAAAJ8PBAAAAAQAAAAA AKgP6gAAAFByaW1hcnkgZ29hbCBpcyB0byBzdGFuZGFyZGl6ZSB0aGULTUlCMlJNREwgY29udmVy c2lvbiBtZXRob2RvbG9neQt0byBwcm92aWRlIGdyZWF0ZXIgbWFuYWdlbWVudCBjb3ZlcmFnZQtm cm9tIHRoZSBTT0EvV1MgbWFuYWdlbWVudCBzZXJ2aWNlIGJ5C21ha2luZyBpbnN0cnVtZW50YXRp b24gdmlhIFNOTVAgYWdlbnRzC3RyYW5zcGFyZW50bHkgYXZhaWxhYmxlIHZpYSBTT0EvV1MLcmVz b3VyY2UgbW9kZWxzLgAAoQ8eAAAA6wAAAAAAMCAAAAIAAAAAADIA6wAAAAEAAgABAA4ADwAE8EgA AAASAArwCAAAAAFAAAAADAAAgwAL8DAAAACBAQAAAAiDAQUAAAiTAY6fiwCUAd69aAC/ARIAEgD/ AQAACAAEAwkAAAA/AwEAAQAQAPAHIAAAAP///wAAAAAAX19fAABmMwDMmQAAO4EvAJlmAACvvzkA DwCIE5YDAAAPAIoTjgMAAAAAug8QAAAAXwBfAF8AUABQAFQAMQAwAAAAixNuAwAAAADrLggAAABU a8cBoE9uUAAAACsEAAAANsfKPh8ARPFCAwAAAAAn8SAAAAAAAAAAAwAAAAAAAAAAAAAAAAAAAAAA 2wH/////EgAAAA8APfENAAAAQAFC8QUAAAABCQAAAB8ARPH9AgAAAAAn8SAAAAAAAAAAAAAAAAEA AAAAAAAAAAAAAACVEwD/////GAAAAA8APfENAAAAQAFC8QUAAAABBAAAAAAAQfEUAAAAAQAAAAEA AAAAAAAAAAAAAAMAAAA/ACXxLAAAAAAAKPEQAAAAAQAAAAkAAAAAAAAAAAAAAA8APPEMAAAAAAAB KwQAAAABAAAATwAl8SwAAAAAACjxEAAAAAEAAAAKAAAAAAAAAAAAAAAPADzxDAAAAAAAASsEAAAA AQAAAB8ARPE0AgAAAAAn8SAAAAAAAAAAAAAAAAAAAAADAAAAAAAAAAAAAAAAAAAAAQAAAA8APfEA AAAAHwAl8RgAAAAAACjxEAAAAAAAAAAAAAAAAAAAAP////8fAETx3AEAAAAAJ/EgAAAAAAAAAAAA AAAAAAAAAwAAAAAAAAAAAAAAAAAAAAEAAAAPAD3xAAAAAB8AJfEYAAAAAAAo8RAAAAAAAAAAAAAA AAAAAAAAAAAAHwBE8YQBAAAAACfxIAAAAAAAAAAAAAAAAAAAAAMAAAAAAAAAAAAAAAAAAAABAAAA DwA98TQAAABAAULxBQAAAAEBAAAAkABC8QUAAAABAQAAAKAAQvEFAAAAAQAAAACwAELxBQAAAAEB AAAAHwAl8RgAAAAAACjxEAAAAAAAAAAAAAAAAAAAAAAAAAAfAETx+AAAAAAAJ/EgAAAAAAAAAAAA AAADAAAAAwAAAAAAAAAAAAAAAQAAABkAAAAPAD3xAAAAAA8AMfGgAAAAAAA68QgAAAABAAAAAQAA ABAAQvERAAAAA3YAaQBzAGkAYgBsAGUAAAAPACrxbwAAAAAAM/EQAAAABAAAAAAAAAAAAAAAAAAA AB8APvErAAAAAABC8SMAAAADcwB0AHkAbABlAC4AdgBpAHMAaQBiAGkAbABpAHQAeQAAAA8APPEc AAAAAAD7KhQAAAAAAAAAAQAAAGhAAAD//////////x8AJfEYAAAAAAAo8RAAAAAAAAAAAAAAAAAA AAAAAAAADwACKwAAAAAPAO4DgwIAAAIA7wMYAAAAAQAAAA0OAAAAAAAAAQAAgAAAAAAHABQwDwAM BJoBAAAPAALwkgEAANAACPAIAAAAAwAAAAM0AAAPAAPwKgEAAA8ABPAoAAAAAQAJ8BAAAAAAAAAA AAAAAAAAAAAAAAAAAgAK8AgAAAAANAAABQAAAA8ABPB4AAAAEgAK8AgAAAACNAAAIAIAAGMAC/Ak AAAABAAAAAAAfwAAAAQAgAC8M8cAvwEAAAEA/wEAAAEAAQMCEAAAAAAQ8AgAAACQACABYBXIAg8A EfAQAAAAAADDCwgAAAAAAAAADQDHAA8ADfAMAAAAAACeDwQAAAAAAAAADwAE8HIAAAASAArwCAAA AAM0AAAgAgAAUwAL8B4AAAB/AAAABACAAJQ0xwC/AQAAAQD/AQAAAQABAwMQAAAAABDwCAAAACoD IAFgFRYPDwAR8BAAAAAAAMMLCAAAAAEAAAAOAMcADwAN8AwAAAAAAJ4PBAAAAAEAAAAPAATwSAAA ABIACvAIAAAAATQAAAAMAACDAAvwMAAAAIEBAAAACIMBBQAACJMBjp+LAJQB3r1oAL8BEgASAP8B AAAIAAQDCQAAAD8DAQABABAA8AcgAAAA////AAAAAABfX18AAGYzAMyZAAA7gS8AmWYAAK+/OQAP AIgTkQAAAA8AihOJAAAAAAC6DxAAAABfAF8AXwBQAFAAVAAxADAAAACLE2kAAAAAAOsuCAAAAJNq xwGAAiy3AAAAKwQAAAAAAAAAHwBE8T0AAAAAACfxIAAAAAAAAAADAAAAAAAAAAAAAAAAAAAAAADb Af////8SAAAADwA98Q0AAABAAULxBQAAAAEJAAAADwACKwAAAAAPAO4DQQMAAAIA7wMYAAAAAQAA AA0OAAAAAAAAAQAAgAAAAAAHABQwDwAMBFgCAAAPAALwUAIAAIAACPAIAAAABAAAAAUgAAAPAAPw 6AEAAA8ABPAoAAAAAQAJ8BAAAAAAAAAAAAAAAAAAAAAAAAAAAgAK8AgAAAAAIAAABQAAAA8ABPB4 AAAAEgAK8AgAAAACIAAAIAIAAGMAC/AkAAAABAAAAAAAfwAAAAQAgACsSscAvwEAAAEA/wEAAAEA AQMCEAAAAAAQ8AgAAACQACABYBXIAg8AEfAQAAAAAADDCwgAAAAAAAAADQDHAA8ADfAMAAAAAACe DwQAAAAAAAAADwAE8HIAAAASAArwCAAAAAMgAAAgAgAAUwAL8B4AAAB/AAAABACAAIRLxwC/AQAA AQD/AQAAAQABAwMQAAAAABDwCAAAACoDIAFgFRYPDwAR8BAAAAAAAMMLCAAAAAEAAAAOAMcADwAN 8AwAAAAAAJ4PBAAAAAEAAAAPAATwtgAAANIACvAIAAAABSAAAAAKAACjAAvwPAAAAH8AAAAEAIAA tMXbAYUAAgAAAIcAAQAAAIEBBAAACIMBAAAACL8BEAAQAMABAQAACP8BCAAIAAECAgAACAAAEPAI AAAAvwjuEAIVlwkPAA3wSgAAAAAAnw8EAAAABAAAAAAAqA8OAAAARGlzY3Vzc2VkIG5leHQAAKEP IAAAAA8AAAAAADAIAAACAAAAAAABAA8AAAABAAMAAQABAAwADwAE8EgAAAASAArwCAAAAAEgAAAA DAAAgwAL8DAAAACBAQAAAAiDAQUAAAiTAY6fiwCUAd69aAC/ARIAEgD/AQAACAAEAwkAAAA/AwEA AQAQAPAHIAAAAP///wAAAAAAX19fAABmMwDMmQAAO4EvAJlmAACvvzkADwCIE5EAAAAPAIoTiQAA AAAAug8QAAAAXwBfAF8AUABQAFQAMQAwAAAAixNpAAAAAADrLggAAACFascBcMYOiQAAACsEAAAA AAAAAB8ARPE9AAAAAAAn8SAAAAAAAAAAAwAAAAAAAAAAAAAAAAAAAAAA2wH/////EgAAAA8APfEN AAAAQAFC8QUAAAABCQAAAA8AAisAAAAADwDuAxENAAACAO8DGAAAAAEAAAANDgAAAAAAAAEAAIAA AAAABwAUMA8ADATnBgAADwAC8N8GAADgAAjwCAAAAAwAAAANOAAADwAD8E8GAAAPAATwKAAAAAEA CfAQAAAAAAAAAAAAAAAAAAAAAAAAAAIACvAIAAAAADgAAAUAAAAPAATwcgAAABIACvAIAAAAAjgA ACACAABTAAvwHgAAAH8AAAAEAIAAZFCVAb8BAAABAP8BAAABAAEDAhAAAAAAEPAIAAAAkAAgAWAV yAIPABHwEAAAAAAAwwsIAAAAAAAAAA0AlQEPAA3wDAAAAAAAng8EAAAAAAAAAA8ABPByAAAAEgAK 8AgAAAADOAAAIAIAAFMAC/AeAAAAfwAAAAQAgAD4VpUBvwEAAAEA/wEAAAEAAQMDEAAAAAAQ8AgA AAB6BCgBaBXQDg8AEfAQAAAAAADDCwgAAAABAAAADgCVAQ8ADfAMAAAAAACeDwQAAAABAAAADwAD 8LYBAAAPAATwbAAAAAEACfAQAAAAIAEAACABAACgFAAAkAYAAAIACvAIAAAACDgAAAECAAAAABDw CAAAAHACKAGoFOAHDwAR8CwAAAAPABQQJAAAAAEA8Q8cAAAAAAAABwBEAAAAAAAAAAAAAAIAAQAB AAAAAAAUMA8ABPBmAAAAIgAK8AgAAAAEOAAAAgoAAJMAC/A2AAAAhQACAAAAhwABAAAAgQEEAAAI gwEAAAAIvwEAABAAwAEAAMwAywGfbwAA/wEIAAgAAQICAAAIAAAP8BAAAAAgAQAAMAMAAIATAACQ BgAADwAE8MwAAADSAwrwCAAAAAY4AAACCgAAswAL8EIAAACAANwbkQK/AAAAAgBHAcP3//9IASxl AACBAQQAAAiDAQAAAAi/AQAAEADAAQAAzAD/AQgACAABAgIAAAh/AwAADAAAAA/wEAAAAKARAAAg AQAAoBQAANACAAAPAA3wUgAAAAAAnw8EAAAABAAAAAAAqA8YAAAAQXBhY2hlIE11c2ULKFdTRE0p IGZvY3VzAAChDx4AAAAZAAAAAAAwCAAAAgAAAAAAAQAZAAAAAQACAAEADAAPAAPwxgEAAA8ABPBs AAAAAQAJ8BAAAAAgAQAAnwcAAKsVAADrCwAAAgAK8AgAAAAJOAAAAQIAAAAAEPAIAAAA7wgoAbMV Ow0PABHwLAAAAA8AFBAkAAAAAQDxDxwAAAAAAAAHAEQAAAAAAAAAAAAAAwABAAEAAAAAABQwDwAE 8GYAAAAiAArwCAAAAAU4AAACCgAAkwAL8DYAAACFAAIAAACHAAEAAACBAQQAAAiDAQAAAAi/AQAA EADAAf8zAADLAZ9vAAD/AQgACAABAgIAAAgAAA/wEAAAACABAACYCQAAgBMAAOsLAAAPAATw3AAA ANIDCvAIAAAABzgAAEIKAACzAAvwQgAAAIAAJAyRAr8AAAACAEcBblEAAEgBamkAAIEBBAAACIMB AAAACL8BAAAQAMAB/zMAAP8BCAAIAAECAgAACH8DAAAMAAAAD/AQAAAAhxEAAJ8HAACrFQAAMAkA AA8ADfBiAAAAAACfDwQAAAAEAAAAAACoDygAAABFY2xpcHNlIENPU01PUwsocmVzb3VyY2UgbW9k ZWxpbmcpIGZvY3VzAAChDx4AAAApAAAAAAAwCAAAAgAAAAAAAQApAAAAAQACAAEADAAPAAPwlwEA AA8ABPBGAAAAAQAJ8BAAAACAEwAAwAMAABAUAABQBAAAAgAK8AgAAAALOAAAAQIAABMAC/AGAAAA iAMAAAAAAAAQ8AgAAAAvAKkVORa/AA8ABPBgAAAAkgAK8AgAAAAMOAAAAgoAAIMAC/AwAAAAhQAC AAAAhwABAAAAgQECAAAIgwEAAAAIvwEQABAAwAEBAAAI/wEIAAgAAQICAAAIAAAP8BAAAACAEwAA wAMAABAUAABQBAAADwAE8NkAAACiDArwCAAAAA04AAACCgAA4wAL8FQAAACAAHBl2wGBAAAAAACC AAAAAACDAAAAAACEAAAAAACFAAIAAACHAAQAAAC/AAIAAgCBAQQAAAiDAQAAAAi/AQAAEADAAQEA AAj/AQAACAABAgIAAAgTACLxBgAAAL8BAABgAAAAD/AQAAAAshMAANgDAADeEwAAOAQAAA8ADfA/ AAAAAACfDwQAAAAEAAAAAACoDwEAAAAyAAChDyIAAAACAAAAAAAwIAAAAgAAAAAAMgACAAAAAQAG AAEACgAAAAAADwAE8EgAAAASAArwCAAAAAE4AAAADAAAgwAL8DAAAACBAQAAAAiDAQUAAAiTAY6f iwCUAd69aAC/ARIAEgD/AQAACAAEAwkAAAA/AwEAAQAvAAXwIAAAAAAAF/AIAAAAAgAAAAY4AAAA ABfwCAAAAAMAAAAHOAAAEADwByAAAAD///8AAAAAAF9fXwAAZjMAzJkAADuBLwCZZgAAr785AA8A iBPSBQAADwCKE8oFAAAAALoPEAAAAF8AXwBfAFAAUABUADEAMAAAAIsTqgUAAAAA6y4IAAAABmvH AaAuQ/4AAAArBAAAABdutG0fAETxfgUAAAAAJ/EgAAAAAAAAAAMAAAAAAAAAAAAAAAAAAAAAANsB /////xIAAAAPAD3xDQAAAEABQvEFAAAAAQkAAAAfAETxOQUAAAAAJ/EgAAAAAAAAAAAAAAABAAAA AAAAAAAAAAAAlRMA/////xgAAAAPAD3xDQAAAEABQvEFAAAAAQQAAAAAAEHxFAAAAAEAAAABAAAA AAAAAAAAAAADAAAAPwAl8SwAAAAAACjxEAAAAAEAAAAJAAAAAAAAAAAAAAAPADzxDAAAAAAAASsE AAAAAQAAAE8AJfEsAAAAAAAo8RAAAAABAAAACgAAAAAAAAAAAAAADwA88QwAAAAAAAErBAAAAAEA AAAfAETxNAIAAAAAJ/EgAAAAAAAAAAAAAAAAAAAAAwAAAAAAAAAAAAAAAAAAAAEAAAAPAD3xAAAA AB8AJfEYAAAAAAAo8RAAAAAAAAAAAAAAAAAAAAD/////HwBE8dwBAAAAACfxIAAAAAAAAAAAAAAA AAAAAAMAAAAAAAAAAAAAAAAAAAABAAAADwA98QAAAAAfACXxGAAAAAAAKPEQAAAAAAAAAAAAAAAA AAAAAAAAAB8ARPGEAQAAAAAn8SAAAAAAAAAAAAAAAAAAAAADAAAAAAAAAAAAAAAAAAAAAQAAAA8A PfE0AAAAQAFC8QUAAAABAQAAAJAAQvEFAAAAAQEAAACgAELxBQAAAAEAAAAAsABC8QUAAAABAQAA AB8AJfEYAAAAAAAo8RAAAAAAAAAAAAAAAAAAAAAAAAAAHwBE8fgAAAAAACfxIAAAAAAAAAAAAAAA AwAAAAMAAAAAAAAAAAAAAAEAAAAZAAAADwA98QAAAAAPADHxoAAAAAAAOvEIAAAAAQAAAAEAAAAQ AELxEQAAAAN2AGkAcwBpAGIAbABlAAAADwAq8W8AAAAAADPxEAAAAAQAAAAAAAAAAAAAAAAAAAAf AD7xKwAAAAAAQvEjAAAAA3MAdAB5AGwAZQAuAHYAaQBzAGkAYgBpAGwAaQB0AHkAAAAPADzxHAAA AAAA+yoUAAAAAAAAAAEAAAAIOAAA//////////8fACXxGAAAAAAAKPEQAAAAAAAAAAAAAAAAAAAA AAAAAB8ARPE0AgAAAAAn8SAAAAAAAAAAAAAAAAAAAAADAAAAAAAAAAAAAAAAAAAAAQAAAA8APfEA AAAAHwAl8RgAAAAAACjxEAAAAAAAAAAAAAAAAAAAAP////8fAETx3AEAAAAAJ/EgAAAAAAAAAAAA AAAAAAAAAwAAAAAAAAAAAAAAAAAAAAEAAAAPAD3xAAAAAB8AJfEYAAAAAAAo8RAAAAAAAAAAAAAA AAAAAAAAAAAAHwBE8YQBAAAAACfxIAAAAAAAAAAAAAAAAAAAAAMAAAAAAAAAAAAAAAAAAAABAAAA DwA98TQAAABAAULxBQAAAAEBAAAAkABC8QUAAAABAQAAAKAAQvEFAAAAAQAAAACwAELxBQAAAAEB AAAAHwAl8RgAAAAAACjxEAAAAAAAAAAAAAAAAAAAAAAAAAAfAETx+AAAAAAAJ/EgAAAAAAAAAAAA AAADAAAAAwAAAAAAAAAAAAAAAQAAABkAAAAPAD3xAAAAAA8AMfGgAAAAAAA68QgAAAABAAAAAQAA ABAAQvERAAAAA3YAaQBzAGkAYgBsAGUAAAAPACrxbwAAAAAAM/EQAAAABAAAAAAAAAAAAAAAAAAA AB8APvErAAAAAABC8SMAAAADcwB0AHkAbABlAC4AdgBpAHMAaQBiAGkAbABpAHQAeQAAAA8APPEc AAAAAAD7KhQAAAAAAAAAAQAAAAk4AAD//////////x8AJfEYAAAAAAAo8RAAAAAAAAAAAAAAAAAA AAAAAAAADwACKwAAAAAPAO4D6wUAAAIA7wMYAAAAAQAAAA0OAAAAAAAAAQAAgAAAAAAHABQwDwAM BAIFAAAPAALw+gQAAPAACPAIAAAABgAAAAc8AAAPAAPwkgQAAA8ABPAoAAAAAQAJ8BAAAAAAAAAA AAAAAAAAAAAAAAAAAgAK8AgAAAAAPAAABQAAAA8ABPByAAAAEgAK8AgAAAACPAAAIAIAAFMAC/Ae AAAAfwAAAAQAgACQFqkEvwEAAAEA/wEAAAEAAQMCEAAAAAAQ8AgAAACQACABYBXIAg8AEfAQAAAA AADDCwgAAAAAAAAADQCpBA8ADfAMAAAAAACeDwQAAAAAAAAADwAE8HIAAAASAArwCAAAAAM8AAAg AgAAUwAL8B4AAAB/AAAABACAAAg7qQS/AQAAAQD/AQAAAQABAwMQAAAAABDwCAAAAAADIAFgFQoK DwAR8BAAAAAAAMMLCAAAAAEAAAAOAKkEDwAN8AwAAAAAAJ4PBAAAAAEAAAAPAAPwZgMAAA8ABPBG AAAAAQAJ8BAAAACwAQAA4QkAANAUAAAPDwAAAgAK8AgAAAAHPAAAAQIAABMAC/AGAAAAiAMAAAAA AAAQ8AgAAADhCbAB0BQPDw8ABPBmAAAAIgAK8AgAAAAFPAAAAgoAAJMAC/A2AAAAhQACAAAAhwAB AAAAgQEEAAAIgwEAAAAIvwEQABAAwAEBAAAI/wEIAAgAAQICAAAIiAMBAAAAAAAP8BAAAACwAQAA 4QkAANAUAAAPDwAADwAE8KICAACiDArwCAAAAAY8AAACCgAAkwAL8DYAAACAAFisTwK/AAIAAgCB AQQAAAiDAQAAAAi/AQAAEADAAQEAAAj/AQAACAABAgIAAAiIAwEAAAAAAA/wEAAAAMkBAABACgAA txQAALAOAAAPAA3wNAIAAAAAnw8EAAAABAAAAAAAqA9QAQAAVGhpcyBpcyBhIHByb3Bvc2FsIGZv ciB0aGUgSUVURiBPJk0gQXJlYSB0byB0YWtlIG9uIGEgZGVmaW5lZCB0YXNrLCB3aXRoIGNvbmNy ZXRlIG5lYXItdGVybSBkZWxpdmVyYWJsZXMgdGhhdCBoYXZlIHV0aWxpdHkgYW5kIHZhbHVlIGZv ciB0aGUgYnJvYWRlciBPJk0gY29tbXVuaXR5Lg0NSXQgaXMgc29tZXdoYXQgYXR5cGljYWwgb2Yg b3VyIGhpc3RvcmljYWwgZWZmb3J0cywgYnV0IG5vdCB3aXRob3V0IGRpcmVjdCBwcmVjZWRlbnQs IGFuZCBwb3NpdGlvbnMgdGhlIEFyZWEgdG8gYmUgYSBsZWFkZXIgaW4gZm9yd2FyZC1sb29raW5n IG5ldHdvcmsgbWFuYWdlbWVudCBzb2x1dGlvbnMuAAChD8gAAABRAQAAAACwAAAALQACAAAAAAA2 AAAAAQADAAEAAQAQAAcAAAAFAAMABQABABAADAAAAAEAAwABAAEAEAAIAAAABQADAAUAAQAQACIA AAABAAMAAQABABAABwAAAAUAAwAFAAEAEAAFAAAAAQADAAEAAQAQAAUAAAAFAAMABQABABAAMAAA AAEAAwABAAEAEAAIAAAABQADAAUAAQAQAGcAAAABAAMAAQABABAADwAAAAUAAwAFAAEAEAAfAAAA AQADAAEAAQAQAA8ABPBIAAAAEgAK8AgAAAABPAAAAAwAAIMAC/AwAAAAgQEAAAAIgwEFAAAIkwGO n4sAlAHevWgAvwESABIA/wEAAAgABAMJAAAAPwMBAAEAEADwByAAAAD///8AAAAAAF9fXwAAZjMA zJkAADuBLwCZZgAAr785AA8AiBORAAAADwCKE4kAAAAAALoPEAAAAF8AXwBfAFAAUABUADEAMAAA AIsTaQAAAAAA6y4IAAAADmvHAXBNPxYAAAArBAAAAAAAAAAfAETxPQAAAAAAJ/EgAAAAAAAAAAMA AAAAAAAAAAAAAAAAAAAAANsB/////xIAAAAPAD3xDQAAAEABQvEFAAAAAQkAAAAPAAIrAAAAAA8A 7gN9AgAAAgDvAxgAAAABAAAADQ4AAAAAAAABAACAAAAAAAcAFDAPAAwElAEAAA8AAvCMAQAAIAEI 8AgAAAADAAAAA0gAAA8AA/AkAQAADwAE8CgAAAABAAnwEAAAAAAAAAAAAAAAAAAAAAAAAAACAArw CAAAAABIAAAFAAAADwAE8HIAAAASAArwCAAAAAJIAAAgAgAAUwAL8B4AAAB/AAAABACAAJAJ2wG/ AQAAAQD/AQAAAQABAwIQAAAAABDwCAAAAJAAIAFgFcgCDwAR8BAAAAAAAMMLCAAAAAAAAAANANsB DwAN8AwAAAAAAJ4PBAAAAAAAAAAPAATwcgAAABIACvAIAAAAA0gAACACAABTAAvwHgAAAH8AAAAE AIAAJKzbAb8BAAABAP8BAAABAAEDAxAAAAAAEPAIAAAAoAIgAWAVZg8PABHwEAAAAAAAwwsIAAAA AQAAAA4A2wEPAA3wDAAAAAAAng8EAAAAAQAAAA8ABPBIAAAAEgAK8AgAAAABSAAAAAwAAIMAC/Aw AAAAgQEAAAAIgwEFAAAIkwGOn4sAlAHevWgAvwESABIA/wEAAAgABAMJAAAAPwMBAAEAEADwByAA AAD///8AAAAAAF9fXwAAZjMAzJkAADuBLwCZZgAAr785AA8AiBORAAAADwCKE4kAAAAAALoPEAAA AF8AXwBfAFAAUABUADEAMAAAAIsTaQAAAAAA6y4IAAAAn2vHAQD+Ye4AAAArBAAAAAAAAAAfAETx PQAAAAAAJ/EgAAAAAAAAAAMAAAAAAAAAAAAAAAAAAAAAANsB/////xIAAAAPAD3xDQAAAEABQvEF AAAAAQkAAAAPAAIrAAAAAA8A7gN9AgAAAgDvAxgAAAABAAAADQ4AAAAAAAABAACAAAAAAAcAFDAP AAwElAEAAA8AAvCMAQAAMAEI8AgAAAADAAAAA0wAAA8AA/AkAQAADwAE8CgAAAABAAnwEAAAAAAA AAAAAAAAAAAAAAAAAAACAArwCAAAAABMAAAFAAAADwAE8HIAAAASAArwCAAAAAJMAAAgAgAAUwAL 8B4AAAB/AAAABACAAFBLuwG/AQAAAQD/AQAAAQABAwIQAAAAABDwCAAAAJAAIAFgFcgCDwAR8BAA AAAAAMMLCAAAAAAAAAANALsBDwAN8AwAAAAAAJ4PBAAAAAAAAAAPAATwcgAAABIACvAIAAAAA0wA ACACAABTAAvwHgAAAH8AAAAEAIAA9Am7Ab8BAAABAP8BAAABAAEDAxAAAAAAEPAIAAAA0AIgAWAV Zg8PABHwEAAAAAAAwwsIAAAAAQAAAA4AuwEPAA3wDAAAAAAAng8EAAAAAQAAAA8ABPBIAAAAEgAK 8AgAAAABTAAAAAwAAIMAC/AwAAAAgQEAAAAIgwEFAAAIkwGOn4sAlAHevWgAvwESABIA/wEAAAgA BAMJAAAAPwMBAAEAEADwByAAAAD///8AAAAAAF9fXwAAZjMAzJkAADuBLwCZZgAAr785AA8AiBOR AAAADwCKE4kAAAAAALoPEAAAAF8AXwBfAFAAUABUADEAMAAAAIsTaQAAAAAA6y4IAAAApWvHAfAR XaMAAAArBAAAAAAAAAAfAETxPQAAAAAAJ/EgAAAAAAAAAAMAAAAAAAAAAAAAAAAAAAAAANsB//// /xIAAAAPAD3xDQAAAEABQvEFAAAAAQkAAAAPAAIrAAAAAA8A7gNjAwAAAgDvAxgAAAAQAAAAAAAA AAAAAAABAACAAAAAAAcAFDAPAAwEegIAAA8AAvByAgAAQAEI8AgAAAADAAAABVAAAA8AA/AKAgAA DwAE8CgAAAABAAnwEAAAAAAAAAAAAAAAAAAAAAAAAAACAArwCAAAAABQAAAFAAAADwAE8MoAAACi DArwCAAAAARQAAAACgAAgwAL8DAAAACAANwGXwG/AAIAAgCBAQQAAAiDAQAAAAi/AQAAEADAAQEA AAj/AQAACAABAgIAAAgAABDwCAAAAMAGsAFwFOAHDwAN8GoAAAAAAJ8PBAAAAAQAAAAAAKgPLgAA AFRoYW5rcyBmb3IgeW91ciB0aW1lLCBhdHRlbnRpb24sIGFuZCBmZWVkYmFjayEAAKEPIAAAAC8A AAAAADAoAAACAAAAAAABADIALwAAAAAAAwABABgADwAE8AABAACiDArwCAAAAAVQAAAACgAAswAL 8EIAAACAAMhkqQS/AAIADwA/AQAABgCBAQQAAAiDAQAAAAi/AQwAHgDAAQEAAAj/AQYADgABAgIA AAg/AgAAAwB/AwAADwCTACLxNgAAAD8BAABAAL8BAABgAP8BAADAAb8DAIIAgn8FBgBOAL8FBgBO AP8FBgBOAD8GBgBOAH8GBgAOAAAAEPAIAAAAQAuABwAPRg0PAA3wUAAAAAAAnw8EAAAABAAAAAAA qA8UAAAAUXVlc3Rpb25zLCBDb21tZW50cz8AAKEPIAAAABUAAAAAADAoAAACAAAAAAABADIAFQAA AAAAAwABABgADwAE8EgAAAASAArwCAAAAAFQAAAADAAAgwAL8DAAAACBAQAAAAiDAQUAAAiTAY6f iwCUAd69aAC/ARIAEgD/AQAACAAEAwkAAAA/AwEAAQAQAPAHIAAAAP///wAAAAAAX19fAABmMwDM mQAAO4EvAJlmAACvvzkADwCIE5EAAAAPAIoTiQAAAAAAug8QAAAAXwBfAF8AUABQAFQAMQAwAAAA ixNpAAAAAADrLggAAACma8cBwCKicgAAACsEAAAAAAAAAB8ARPE9AAAAAAAn8SAAAAAAAAAAAwAA AAAAAAAAAAAAAAAAAAAA2wH/////EgAAAA8APfENAAAAQAFC8QUAAAABCQAAAA8AAisAAAAAAABy F0gAAAABABABAAAAADIoAAAlNAAAeUIAAN1IAACmhgAATsAAAPlNAAB3PAAAbksAAMO9AACXwwAA sNAAADeJAACj1gAAKNkAAK3bAAAAAPUPHAAAAAABAACuHwADAAAAABjfAAABAAAAEQAAAAEAxTEA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AP7/AAAFAQIAAAAAAAAAAAAAAAAAAAAAAAEAAADghZ/y+U9oEKuRCAArJ7PZMAAAAOQZAAAMAAAA AQAAAGgAAAACAAAAcAAAAAQAAACoAAAABwAAALwAAAAIAAAAzAAAAAkAAADgAAAAEgAAAOwAAAAK AAAAEAEAAAwAAAAcAQAADQAAACgBAAAPAAAANAEAABEAAAA8AQAAAgAAAOQEAAAeAAAAMAAAAENv bnZlcnRpbmcgU05NUCBNSUJzIHRvIFNPQS1XUyBSZXNvdXJjZSBNb2RlbHMAAB4AAAAMAAAAQm9i IE5hdGFsZQAAHgAAAAgAAABFZGdlAAAAAB4AAAAMAAAAQm9iIE5hdGFsZQAAHgAAAAQAAAAxMQAA HgAAABwAAABNaWNyb3NvZnQgT2ZmaWNlIFBvd2VyUG9pbnQAQAAAANDxEUe8AAAAQAAAAPD/CeOA ascBQAAAAACxXeGoa8cBAwAAAH8DAABHAAAAoBgAAP////8DAAAACACJEGcMAAABAAkAAANIDAAA BwBkAAAAAAAEAAAAAwEIAAUAAAALAgAAAAAFAAAADAJ5AKEAAwAAAB4ABwAAAPwCAAD///8AAAAE AAAALQEAAAgAAAD6AgUAAAAAAP///wAEAAAALQEBAA4AAAAkAwUA////////eACgAHgAoAD///// //8IAAAA+gIAAAAAAAAAAAAABAAAAC0BAgAHAAAA/AIAAP///wAAAAQAAAAtAQMABAAAACcB//8D AAAAHgAIAAAA+gIAAAEAAADMmQAABAAAAC0BBAAHAAAA/AIBAAAAAAAAAAQAAAAtAQUACgAAACUD AwAKACUACgAVAJUAFQAEAAAALQECAAQAAAAtAQMABAAAAPABBAAEAAAAJwH//xwAAAD7Avv/AAAA AAAAkAEAAAAAAEAAIlZlcmRhbmEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABAAAAC0BBAAEAAAA LgEYAAQAAAACAQEABQAAAAkCAAAAAkYAAAAyCh0ADgAqAAAARGV2ZWxvcG1lbnQgb2YgYSBTdGFu ZGFyZCBNZXRob2RvbG9neSBmb3IgBAADAAMAAwABAAQAAwAFAAMABAACAAIAAwACAAIAAwACAAMA AgAEAAMAAwAEAAIAAwACAAUAAwACAAMABAADAAMAAgADAAMAAwACAAIAAwACAAMABAAAAC4BAAAc AAAA+wIQAAcAAAAAALwCAAAAAAECAiJTeXN0ZW0AAAAAAAAAAAAAGAAAAAIAAABYdCEA5AQAAAQA AAAtAQYABAAAAPABBAAcAAAA+wL7/wAAAAAAAJABAAAAAABAACJWZXJkYW5hAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAQAAAAtAQQABAAAAC4BGAAEAAAAAgEBAAUAAAAJAgAAAAIfAAAAMgojAA4A EAAAAENvbnZlcnRpbmcgU05NUCADAAMABAADAAMAAgADAAEAAwADAAMAAwAEAAUAAwACAAQAAAAu AQAABAAAAC0BBgAEAAAA8AEEABwAAAD7Avv/AAAAAAAAkAEAAAAAAEAAIlZlcmRhbmEAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAABAAAAC0BBAAEAAAALgEYAAQAAAACAQEABQAAAAkCAAAAAg0AAAAy CiMAPgAEAAAATUlCcwQAAwADAAMABAAAAC4BAAAEAAAALQEGAAQAAADwAQQAHAAAAPsC+/8AAAAA AACQAQAAAAAAQAAiVmVyZGFuYQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEAAAALQEEAAQAAAAu ARgABAAAAAIBAQAFAAAACQIAAAACKgAAADIKIwBNABcAAAB0byBSZXNvdXJjZSBNb2RlbHMgZm9y IAACAAMAAgAEAAMAAwADAAMAAgADAAMAAwAEAAMAAwAEAAEAAwACAAIAAwACAAMABAAAAC4BAAAE AAAALQEGAAQAAADwAQQAHAAAAPsC+/8AAAAAAACQAQAAAAAAQAAiVmVyZGFuYQAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAEAAAALQEEAAQAAAAuARgABAAAAAIBAQAFAAAACQIAAAACNwAAADIKKgAO ACAAAAB0aGUgU09BL1dlYiBTZXJ2aWNlcyBNYW5hZ2VtZW50IAIAAwADAAIAAwAFAAMAAwAFAAMA AwADAAMAAwACAAQAAQADAAMAAwACAAQABAADAAMAAwADAAYAAwADAAIAAwAEAAAALgEAAAQAAAAt AQYABAAAAPABBAAcAAAA+wL7/wAAAAAAAJABAAAAAABAACJWZXJkYW5hAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAQAAAAtAQQABAAAAC4BGAAEAAAAAgEBAAUAAAAJAgAAAAIoAAAAMgowAA4AFgAA AEVudmlyb25tZW50IChNSUIyUk1ETCkDAAMAAwACAAIAAwADAAYAAwADAAIAAgADAAQAAwADAAQA AwAFAAQAAwACAAQAAAAuAQAABAAAAC0BBgAEAAAA8AEEABwAAAD7Av3/AAAAAAAAkAEAAAAAAEAA IlZlcmRhbmEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABAAAAC0BBAAEAAAALgEYAAQAAAACAQEA BQAAAAkCAAAAAhkAAAAyCm8AGgAMAAAAQm9iIE5hdGFsZSAoAgACAAIAAQACAAIAAQACAAEAAgAB AAEABAAAAC4BAAAEAAAALQEGAAQAAADwAQQAHAAAAPsC/f8AAAAAAACQAQAAAAAAQAAiVmVyZGFu YQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEAAAALQEEAAQAAAAuARgABAAAAAIBAQAFAAAACQIA AAACIQAAADIKbwAtABEAAABybmF0YWxlQG1pdHJlLm9yZ1IBAAIAAgABAAIAAQACAAMAAwABAAEA AQACAAEAAgABAAMABAAAAC4BAAAEAAAALQEGAAQAAADwAQQAHAAAAPsC/f8AAAAAAACQAQAAAAAA QAAiVmVyZGFuYQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEAAAALQEEAAQAAAAuARgABAAAAAIB AQAFAAAACQIAAAACCgAAADIKbwBKAAIAAAApIAEAAQAEAAAALgEAAAQAAAAtAQYABAAAAPABBAAc AAAA+wL9/wAAAAAAAJABAAAAAABAACJWZXJkYW5hAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQA AAAtAQQABAAAAC4BGAAEAAAAAgEBAAUAAAAJAgAAAAIJAAAAMgpvAEwAAQAAAC1QAQAEAAAALgEA AAQAAAAtAQYABAAAAPABBAAcAAAA+wL9/wAAAAAAAJABAAAAAABAACJWZXJkYW5hAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAQAAAAtAQQABAAAAC4BGAAEAAAAAgEBAAUAAAAJAgAAAAITAAAAMgpv AE8ACAAAAElFVEYgNjggAQACAAIAAgABAAIAAgABAAQAAAAuAQAABAAAAC0BBgAEAAAA8AEEABwA AAD7Av3/AAAAAAAAkAEAAAAAAEAAIlZlcmRhbmEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABAAA AC0BBAAEAAAALgEYAAQAAAACAQEABQAAAAkCAAAAAgkAAAAyCm8AXAABAAAAllACAAQAAAAuAQAA BAAAAC0BBgAEAAAA8AEEABwAAAD7Av3/AAAAAAAAkAEAAAAAAEAAIlZlcmRhbmEAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAABAAAAC0BBAAEAAAALgEYAAQAAAACAQEABQAAAAkCAAAAAhIAAAAyCm8A XwAHAAAAUHJhZ3VlICACAAEAAgACAAIAAgABAAQAAAAuAQAABAAAAC0BBgAEAAAA8AEEABwAAAD7 Av3/AAAAAAAAkAEAAAAAAEAAIlZlcmRhbmEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABAAAAC0B BAAEAAAALgEYAAQAAAACAQEABQAAAAkCAAAAAgkAAAAyCm8AawABAAAALVABAAQAAAAuAQAABAAA AC0BBgAEAAAA8AEEABwAAAD7Av3/AAAAAAAAkAEAAAAAAEAAIlZlcmRhbmEAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAABAAAAC0BBAAEAAAALgEYAAQAAAACAQEABQAAAAkCAAAAAhwAAAAyCm8AbQAO AAAATWFyY2ggMjEsIDIwMDcDAAIAAQACAAIAAQACAAIAAQABAAIAAgACAAIABAAAAC4BAAAEAAAA LQEGAAQAAADwAQQABAAAAPABAAADAAAAHgAHAAAA/AIAAMyZAAAAAAQAAAAtAQAABAAAAAYBAQAE AAAALQEBAD4AAAAkAx0AEgA8ABAAPAAPAD0ADQA+AAwAQAAMAEEADABCAAwAWwAMAFwADABdAA0A XwAPAGAAEABhABIAYQCNAGEAjwBhAJAAYACSAF8AkwBdAJMAXACUAFsAlABCAJMAQQCTAEAAkgA+ AJAAPQCPADwAjQA8ABIAPAAEAAAALQECAAQAAAAGAQEABAAAAC0BAwAIAAAA+gIAAAEAAAAAAAAA BAAAAC0BBAAEAAAALQEFAD4AAAAlAx0AEgA8ABAAPAAPAD0ADQA+AAwAQAAMAEEADABCAAwAWwAM AFwADABdAA0AXwAPAGAAEABhABIAYQCNAGEAjwBhAJAAYACSAF8AkwBdAJMAXACUAFsAlABCAJMA QQCTAEAAkgA+AJAAPQCPADwAjQA8ABIAPAAEAAAALQECAAQAAAAtAQMABAAAAPABBAAEAAAAJwH/ /xwAAAD7Avz/AAAAAAAAkAEAAAAAAEAAIlZlcmRhbmEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA BAAAAC0BBAAEAAAALgEYAAQAAAACAQEABQAAAAkCAAAAAgkAAAAyCkEADgABAAAALVACAAQAAAAu AQAABAAAAC0BBgAEAAAA8AEEABwAAAD7Avz/AAAAAAAAvAIAAAAAAEAAIlZlcmRhbmEAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAABAAAAC0BBAAEAAAALgEYAAQAAAACAQEABQAAAAkCAAAAAkwAAAAy CkEAEAAuAAAAVGhlIFNPQS9XUyBtYW5hZ2VtZW50IGNvbW11bml0eSBoYXMgYSBwcm9ibGVtOgMA AgADAAEAAwADAAIAAgAFAAMAAQADAAMAAgADAAIAAwADAAMAAgACAAEAAgADAAMABAACAAMAAQAC AAMAAAADAAMAAgAAAAMAAQADAAEAAwADAAEAAgAEAAIABAAAAC4BAAAEAAAALQEGAAQAAADwAQQA HAAAAPsC/P8AAAAAAACQAQAAAAAAQAAiVmVyZGFuYQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAE AAAALQEEAAQAAAAuARgABAAAAAIBAQAFAAAACQIAAAACCQAAADIKRQAWAAEAAAAtUAIABAAAAC4B AAAEAAAALQEGAAQAAADwAQQAHAAAAPsC/P8AAAAAAAC8AgAAAAAAQAAiVmVyZGFuYQAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAEAAAALQEEAAQAAAAuARgABAAAAAIBAQAFAAAACQIAAAACWwAAADIK RQAYADgAAABJbnN1ZmZpY2llbnQgIyBhbmQgcmFuZ2Ugb2Ygc3RhbmRhcmRpemVkIHJlc291cmNl IG1vZGVscwIAAwACAAMAAQACAAEAAgABAAMAAgACAAEAAwABAAMAAgADAAEAAQADAAIAAwADAAEA AgACAAEAAgABAAMAAgADAAMAAQADAAEAAgACAAMAAQACAAMAAQADAAIAAgACAAMAAQADAAMAAgAD AAEAAgAEAAAALgEAAAQAAAAtAQYABAAAAPABBAAcAAAA+wL8/wAAAAAAAJABAAAAAABAACJWZXJk YW5hAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQAAAAtAQQABAAAAC4BGAAEAAAAAgEBAAUAAAAJ AgAAAAIJAAAAMgpOAA4AAQAAAC1QAgAEAAAALgEAAAQAAAAtAQYABAAAAPABBAAcAAAA+wL8/wAA AAAAALwCAAAAAABAACJWZXJkYW5hAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQAAAAtAQQABAAA AC4BGAAEAAAAAgEBAAUAAAAJAgAAAAItAAAAMgpOABAAGQAAAENvcnJlY3RseSBjb252ZXJ0ZWQg U05NUCBnAwADAAIAAQADAAIAAgAAAAMAAQACAAIAAwACAAMAAQACAAIAAwABAAMAAgAEAAMAAQAE AAAALgEAAAQAAAAtAQYABAAAAPABBAAcAAAA+wL8/wAAAAAAALwCAAAAAABAACJWZXJkYW5hAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQAAAAtAQQABAAAAC4BGAAEAAAAAgEBAAUAAAAJAgAAAAIN AAAAMgpOAEYABAAAAE1JQnMEAAEAAwACAAQAAAAuAQAABAAAAC0BBgAEAAAA8AEEABwAAAD7Avz/ AAAAAAAAvAIAAAAAAEAAIlZlcmRhbmEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABAAAAC0BBAAE AAAALgEYAAQAAAACAQEABQAAAAkCAAAAAjYAAAAyCk4AUQAfAAAAY2FuIGhlbHAgdG8gc29sdmUg dGhhdCBwcm9ibGVtOiACAAMAAwAAAAMAAwAAAAMAAQACAAMAAQACAAMAAAACAAMAAQACAAIAAwAC AAEAAgACAAIAAwABAAMAAwACAAQAAAAuAQAABAAAAC0BBgAEAAAA8AEEABwAAAD7Avz/AAAAAAAA kAEAAAAAAEAAIlZlcmRhbmEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABAAAAC0BBAAEAAAALgEY AAQAAAACAQEABQAAAAkCAAAAAgkAAAAyClIAFgABAAAALVACAAQAAAAuAQAABAAAAC0BBgAEAAAA 8AEEABwAAAD7Avz/AAAAAAAAvAIAAAAAAEAAIlZlcmRhbmEAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAABAAAAC0BBAAEAAAALgEYAAQAAAACAQEABQAAAAkCAAAAAjMAAAAyClIAGAAdAAAAU3RhbmRh cmRpemVkLCBudW1lcm91cywgbXVsdGltAwACAAIAAwACAAMAAQADAAEAAgACAAMAAQABAAMAAwAD AAMAAQADAAMAAgABAAEABAADAAEAAgAAAAQAAAAuAQAABAAAAC0BBgAEAAAA8AEEABwAAAD7Avz/ AAAAAAAAvAIAAAAAAEAAIlZlcmRhbmEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABAAAAC0BBAAE AAAALgEYAAQAAAACAQEABQAAAAkCAAAAAgkAAAAyClIAVgABAAAALVACAAQAAAAuAQAABAAAAC0B BgAEAAAA8AEEABwAAAD7Avz/AAAAAAAAvAIAAAAAAEAAIlZlcmRhbmEAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAABAAAAC0BBAAEAAAALgEYAAQAAAACAQEABQAAAAkCAAAAAiUAAAAyClIAWAAUAAAA ZG9tYWluLCBpbnN0cnVtZW50ZWQCAAMABAADAAAAAwABAAEAAQADAAIAAgACAAIABAACAAMAAQAD AAMABAAAAC4BAAAEAAAALQEGAAQAAADwAQQAHAAAAPsC/P8AAAAAAACQAQAAAAAAQAAiVmVyZGFu YQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEAAAALQEEAAQAAAAuARgABAAAAAIBAQAFAAAACQIA AAACCQAAADIKWwAOAAEAAAAtUAIABAAAAC4BAAAEAAAALQEGAAQAAADwAQQAHAAAAPsC/P8AAAAA AAC8AgAAAAAAQAAiVmVyZGFuYQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEAAAALQEEAAQAAAAu ARgABAAAAAIBAQAFAAAACQIAAAACZAAAADIKWwAQAD4AAABUaGUgSUVURiBPJk0gY29tbXVuaXR5 IGlzIHRoZSByaWdodCBncm91cCB0byBsZWFkIHRoYXQgZWZmb3J0OgMAAgADAAEAAgACAAMAAwAB AAMAAgAEAAEAAgADAAQAAwADAAMAAAACAAMAAQABAAIAAQACAAIAAwABAAIAAQACAAMAAgABAAIA AgACAAMAAwABAAEAAwABAAEAAgADAAMAAQABAAMAAgACAAEAAgACAAEAAwACAAEAAgAEAAAALgEA AAQAAAAtAQYABAAAAPABBAAcAAAA+wL8/wAAAAAAAJABAAAAAABAACJWZXJkYW5hAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAQAAAAtAQQABAAAAC4BGAAEAAAAAgEBAAUAAAAJAgAAAAIJAAAAMgpf ABYAAQAAAC1QAgAEAAAALgEAAAQAAAAtAQYABAAAAPABBAAcAAAA+wL8/wAAAAAAALwCAAAAAABA ACJWZXJkYW5hAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQAAAAtAQQABAAAAC4BGAAEAAAAAgEB AAUAAAAJAgAAAAJFAAAAMgpfABgAKQAAAEV4cGVydGlzZSwgY29udGludWl0eSwgYXV0aG9yaXR5 LCBjb250cm9sYgMAAgADAAIAAgACAAEAAgADAAEAAQACAAIAAwACAAEAAgADAAEAAQADAAEAAQAD AAIAAgACAAMAAgABAAEAAwABAAEAAgADAAIAAgACAAMAAQAEAAAALgEAAAQAAAAtAQYABAAAAPAB BAADAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD+/wAABQECAAAAAAAA AAAAAAAAAAAAAAABAAAAAtXN1ZwuGxCTlwgAKyz5rjAAAADYAwAAEAAAAAEAAACIAAAAAwAAAJAA AAAPAAAAqAAAAAQAAADIAAAABgAAANAAAAAHAAAA2AAAAAgAAADgAAAACQAAAOgAAAAKAAAA8AAA ABcAAAD4AAAACwAAAAABAAAQAAAACAEAABMAAAAQAQAAFgAAABgBAAANAAAAIAEAAAwAAAB4AwAA AgAAAOQEAAAeAAAAEAAAAE9uLXNjcmVlbiBTaG93AAAeAAAAGAAAAFRoZSBNSVRSRSBDb3Jwb3Jh dGlvbgAAAAMAAACM3wAAAwAAAIYAAAADAAAADQAAAAMAAAAAAAAAAwAAAAAAAAADAAAAAAAAAAMA AAC6HwsACwAAAAAAAAALAAAAAAAAAAsAAAAAAAAACwAAAAAAAAAeEAAAEwAAAAYAAABBcmlhbAAI AAAAVmVyZGFuYQAQAAAAVGltZXMgTmV3IFJvbWFuAAoAAABXaW5nZGluZ3MACQAAAEdhcmFtb25k AAUAAABFZGdlAI0AAABEZXZlbG9wbWVudCBvZiBhIFN0YW5kYXJkIE1ldGhvZG9sb2d5IGZvciBD b252ZXJ0aW5nIFNOTVAgTUlCcyB0byBSZXNvdXJjZSBNb2RlbHMgZm9yIHRoZSBTT0EvV2ViIFNl cnZpY2VzIE1hbmFnZW1lbnQgRW52aXJvbm1lbnQgKE1JQjJSTURMKQAHAAAAQWdlbmRhACQAAABQ cm9ibGVtL09wcG9ydHVuaXR5IERlc2NyaXB0aW9uIC0gMQAiAAAASWxsdXN0cmF0aW9uIG9mIHRo ZSBQcm9ibGVtIFNwYWNlACUAAABQcm9ibGVtIC9PcHBvcnR1bml0eSBEZXNjcmlwdGlvbiAtIDIA JwAAAElsbHVzdHJhdGlvbiBvZiB0aGUgVGFyZ2V0IEVudmlyb25tZW50ACMAAABQb3RlbnRpYWwg QmVuZWZpY2lhcmllcyAmIEJlbmVmaXRzACQAAABCYWNrZ3JvdW5kIJYgMSBTb21lIHN0YXJ0aW5n IHBvaW50cwAyAAAAQmFja2dyb3VuZCCWIDIgQ2FuZGlkYXRlIHJlc291cmNlIG1vZGVsIGFydGlm YWN0cwAJAAAAUHJvcG9zYWwAEgAAAENvbW1lbnRzIFJlY2VpdmVkAAsAAABOZXh0IFN0ZXBzAAkA AABTbGlkZSAxMwAMEAAABgAAAB4AAAALAAAARm9udHMgVXNlZAADAAAABQAAAB4AAAAQAAAARGVz aWduIFRlbXBsYXRlAAMAAAABAAAAHgAAAA0AAABTbGlkZSBUaXRsZXMAAwAAAA0AAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD2DyIAAAAUAAAAX8CR42jfAAAK APQDAwAAAEJvYiBOYXRhbGUIAAAAQgBvAGIAIABOAGEAdABhAGwAZQAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEAAAACAAAAAwAAAAQAAAAFAAAABgAAAAcAAAAI AAAACQAAAAoAAAALAAAADAAAAA0AAAAOAAAADwAAABAAAAARAAAAEgAAABMAAAAUAAAAFQAAABYA AAAXAAAAGAAAABkAAAAaAAAAGwAAABwAAAAdAAAAHgAAAB8AAAAgAAAAIQAAACIAAAAjAAAAJAAA ACUAAAAmAAAAJwAAACgAAAApAAAAKgAAACsAAAAsAAAALQAAAC4AAAAvAAAAMAAAADEAAAAyAAAA MwAAADQAAAA1AAAANgAAADcAAAA4AAAAOQAAADoAAAA7AAAAPAAAAD0AAAA+AAAAPwAAAEAAAABB AAAAQgAAAEMAAABEAAAARQAAAEYAAABHAAAASAAAAEkAAABKAAAASwAAAEwAAABNAAAATgAAAE8A AABQAAAAUQAAAFIAAABTAAAAVAAAAFUAAABWAAAAVwAAAFgAAABZAAAAWgAAAFsAAABcAAAAXQAA AF4AAABfAAAAYAAAAGEAAABiAAAAYwAAAGQAAABlAAAAZgAAAGcAAABoAAAAaQAAAGoAAABrAAAA bAAAAG0AAABuAAAAbwAAAP7///9xAAAAcgAAAHMAAAB0AAAAdQAAAHYAAAB3AAAAeAAAAHkAAAB6 AAAAewAAAHwAAAB9AAAA/v///38AAACAAAAAgQAAAIIAAACDAAAAhAAAAIUAAAD+////hwAAAIgA AACJAAAAigAAAIsAAACMAAAAjQAAAP7////9/////f///5EAAAD+//////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////9SAG8AbwB0ACAARQBuAHQAcgB5AAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAFgAFAf//////////AwAAABCNgWSbT88R huoAqgC5KegAAAAAAAAAAAAAAAAAAAAAAAAAAP7///8AAAAAAAAAAEMAdQByAHIAZQBuAHQAIABV AHMAZQByAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAaAAIB//////// ////////AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAhgAAAAAQAAAAAAAABQBT AHUAbQBtAGEAcgB5AEkAbgBmAG8AcgBtAGEAdABpAG8AbgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAACgAAgEBAAAA//////////8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABw AAAAFBoAAAAAAABQAG8AdwBlAHIAUABvAGkAbgB0ACAARABvAGMAdQBtAGUAbgB0AAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAKAACAQIAAAAEAAAA/////wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAACM3wAAAAAAAAUARABvAGMAdQBtAGUAbgB0AFMAdQBtAG0AYQByAHkA SQBuAGYAbwByAG0AYQB0AGkAbwBuAAAAAAAAAAAAAAA4AAIB////////////////AAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAfgAAAAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD///////// //////8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAP///////////////wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAA////////////////AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAUgBvAG8AdAAgAEUAbgB0AHIAeQAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABYABQH//////////wMAAAAQjYFkm0/PEYbq AKoAuSnoAAAAAAAAAAAAAAAAECpHIqprxwGVAAAAgAQAAAAAAABDAHUAcgByAGUAbgB0ACAAVQBz AGUAcgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAGgACAf////////// /////wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAIYAAAAAEAAAAAAAAAUAUwB1 AG0AbQBhAHIAeQBJAG4AZgBvAHIAbQBhAHQAaQBvAG4AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAoAAIBAQAAAP//////////AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAcAAA ABQaAAAAAAAAUABvAHcAZQByAFAAbwBpAG4AdAAgAEQAbwBjAHUAbQBlAG4AdAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAACgAAgECAAAABAAAAP////8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAjN8AAAAAAAD///////////////////////////////+HAAAAiAAAAIkA AACKAAAAiwAAAIwAAACNAAAA/v////////////////////////+YAAAA/f////7///+WAAAAlwAA AP7////+/////f////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// /////////////////////////////wEAAAACAAAAAwAAAAQAAAAFAAAABgAAAAcAAAAIAAAACQAA AAoAAAALAAAADAAAAA0AAAAOAAAADwAAABAAAAARAAAA/v////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// /////////////////////////////v8AAAUBAgAAAAAAAAAAAAAAAAAAAAAAAgAAAALVzdWcLhsQ k5cIACss+a5EAAAABdXN1ZwuGxCTlwgAKyz5rhwEAADYAwAAEAAAAAEAAACIAAAAAwAAAJAAAAAP AAAAqAAAAAQAAADIAAAABgAAANAAAAAHAAAA2AAAAAgAAADgAAAACQAAAOgAAAAKAAAA8AAAABcA AAD4AAAACwAAAAABAAAQAAAACAEAABMAAAAQAQAAFgAAABgBAAANAAAAIAEAAAwAAAB4AwAAAgAA AOQEAAAeAAAAEAAAAE9uLXNjcmVlbiBTaG93AAAeAAAAGAAAAFRoZSBNSVRSRSBDb3Jwb3JhdGlv bgAAAAMAAACM3wAAAwAAAIYAAAADAAAADQAAAAMAAAAAAAAAAwAAAAAAAAADAAAAAAAAAAMAAAC6 HwsACwAAAAAAAAALAAAAAAAAAAsAAAAAAAAACwAAAAAAAAAeEAAAEwAAAAYAAABBcmlhbAAIAAAA VmVyZGFuYQAQAAAAVGltZXMgTmV3IFJvbWFuAAoAAABXaW5nZGluZ3MACQAAAEdhcmFtb25kAAUA AABFZGdlAI0AAABEZXZlbG9wbWVudCBvZiBhIFN0YW5kYXJkIE1ldGhvZG9sb2d5IGZvciBDb252 ZXJ0aW5nIFNOTVAgTUlCcyB0byBSZXNvdXJjZSBNb2RlbHMgZm9yIHRoZSBTT0EvV2ViIFNlcnZp Y2VzIE1hbmFnZW1lbnQgRW52aXJvbm1lbnQgKE1JQjJSTURMKQAHAAAAQWdlbmRhACQAAABQcm9i bGVtL09wcG9ydHVuaXR5IERlc2NyaXB0aW9uIC0gMQAiAAAASWxsdXN0cmF0aW9uIG9mIHRoZSBQ cm9ibGVtIFNwYWNlACUAAABQcm9ibGVtIC9PcHBvcnR1bml0eSBEZXNjcmlwdGlvbiAtIDIAJwAA AElsbHVzdHJhdGlvbiBvZiB0aGUgVGFyZ2V0IEVudmlyb25tZW50ACMAAABQb3RlbnRpYWwgQmVu ZWZpY2lhcmllcyAmIEJlbmVmaXRzACQAAABCYWNrZ3JvdW5kIJYgMSBTb21lIHN0YXJ0aW5nIHBv aW50cwAyAAAAQmFja2dyb3VuZCCWIDIgQ2FuZGlkYXRlIHJlc291cmNlIG1vZGVsIGFydGlmYWN0 cwAJAAAAUHJvcG9zYWwAEgAAAENvbW1lbnRzIFJlY2VpdmVkAAsAAABOZXh0IFN0ZXBzAAkAAABT bGlkZSAxMwAMEAAABgAAAB4AAAALAAAARm9udHMgVXNlZAADAAAABQAAAB4AAAAQAAAARGVzaWdu IFRlbXBsYXRlAAMAAAABAAAAHgAAAA0AAABTbGlkZSBUaXRsZXMAAwAAAA0AAAA0AAAAAwAAAAAA AAAgAAAAAQAAACQAAAAAAACALAAAAAAAAAACAAAAsAQAABMAAAAJBAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAABQBEAG8AYwB1AG0AZQBuAHQAUwB1AG0AbQBhAHIAeQBJAG4AZgBv AHIAbQBhAHQAaQBvAG4AAAAAAAAAAAAAADgAAgH///////////////8AAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAUAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAP///////////////wAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA ////////////////AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAD///////////////8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAABAAAAAgAAAAMAAAAEAAAABQAAAAYAAAAHAAAACAAAAAkAAAAKAAAA CwAAAAwAAAANAAAADgAAAA8AAAAQAAAAEQAAABIAAAATAAAAFAAAABUAAAAWAAAAFwAAABgAAAAZ AAAAGgAAABsAAAAcAAAAHQAAAB4AAAAfAAAAIAAAACEAAAAiAAAAIwAAACQAAAAlAAAAJgAAACcA AAAoAAAAKQAAACoAAAArAAAALAAAAC0AAAAuAAAALwAAADAAAAAxAAAAMgAAADMAAAA0AAAANQAA ADYAAAA3AAAAOAAAADkAAAA6AAAAOwAAADwAAAA9AAAAPgAAAD8AAABAAAAAQQAAAEIAAABDAAAA RAAAAEUAAABGAAAARwAAAEgAAABJAAAASgAAAEsAAABMAAAATQAAAE4AAABPAAAAUAAAAFEAAABS AAAAUwAAAFQAAABVAAAAVgAAAFcAAABYAAAAWQAAAFoAAABbAAAAXAAAAF0AAABeAAAAXwAAAGAA AABhAAAAYgAAAGMAAABkAAAAZQAAAGYAAABnAAAAaAAAAGkAAABqAAAAawAAAGwAAABtAAAAbgAA AG8AAAD+////cQAAAHIAAABzAAAAdAAAAHUAAAB2AAAAdwAAAHgAAAB5AAAAegAAAHsAAAB8AAAA fQAAAP7//////////////w== ------_=_NextPart_001_01C76BAA.1AAF36D6-- Received: from ug-out-1314.google.com (ug-out-1314.google.com [66.249.92.171]) by bierator.ibr.cs.tu-bs.de (8.13.4/8.13.4/Debian-3sarge3) with ESMTP id l2KNV695029782 for ; Wed, 21 Mar 2007 00:31:12 +0100 Received: by ug-out-1314.google.com with SMTP id 78so53117ugn for ; Tue, 20 Mar 2007 16:31:06 -0700 (PDT) DKIM-Signature: a=rsa-sha1; c=relaxed/relaxed; d=gmail.com; s=beta; h=domainkey-signature:received:received:message-id:date:from:user-agent:mime-version:to:subject:content-type:sender; b=oLoIb1I0pp3ZOfBK4EuAFj9/g+Ko9GLo7N+A5o5djngWgO13HffF7crxlLkoVP/0nfNLCPzYmVRtcsJQIUH0WFEkyzDdiHvQupTxW8vlEfdyBKwbWfsw/ySUhQejV2WfuM2Hoy41EXI0NNkP0OfFgnnY4YAveRCWh1VEd8exWLw= DomainKey-Signature: a=rsa-sha1; c=nofws; d=gmail.com; s=beta; h=received:message-id:date:from:user-agent:mime-version:to:subject:content-type:sender; b=IFSv6QpkVhSttofX/GEkBkC+xIbatrW7fav8svIOPwDJxwBj5T5v//wtuSUeF+LTWel+RWTgjQTcPtPgtu/GV9ZX41gJQHd9RfTXgLz/uWUy5UQl0HbbLCBsCSF7qIz3T/p7CUlkBFNEdCOqCDy6vq3pDz5JdYP1l7w0X0jf8Xs= Received: by 10.67.22.7 with SMTP id z7mr2061462ugi.1174433465340; Tue, 20 Mar 2007 16:31:05 -0700 (PDT) Received: from ?137.208.224.46? ( [137.208.224.46]) by mx.google.com with ESMTP id z40sm3499875ikz.2007.03.20.16.31.00; Tue, 20 Mar 2007 16:31:01 -0700 (PDT) Message-ID: <46006EA2.70902@wu-wien.ac.at> Date: Wed, 21 Mar 2007 00:30:42 +0100 From: Michael Alexander User-Agent: Thunderbird 2.0b2 (Windows/20070116) MIME-Version: 1.0 To: ops-area@ietf.org, nmrg@ibr.cs.tu-bs.de Content-Type: multipart/mixed; boundary="------------020107050005070700070008" Sender: Michael Alexander X-IBRFilter-SpamReport: 0.068 () BAYES_50,RCVD_BY_IP X-Scanned-By: MIMEDefang 2.51 on 134.169.34.9 X-Mailman-Approved-At: Sun, 25 Mar 2007 19:14:56 +0200 Subject: [nmrg] Wed Mini/BOF Material 1/2 'Network Element/Facilities/Lines/Protocols/Services Data Modeling' X-BeenThere: nmrg@ibr.cs.tu-bs.de X-Mailman-Version: 2.1.5 Precedence: list List-Id: Network Management Research Group List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Tue, 20 Mar 2007 23:31:16 -0000 This is a multi-part message in MIME format. --------------020107050005070700070008 Content-Type: text/plain; charset=ISO-8859-1; format=flowed Content-Transfer-Encoding: 7bit Please find the draft-00 and presentation for the Mini-BOF 'Network Element/Facilities/Lines/Protocols/Services Data Modeling' attached and at: http://frankfurt.wu-wien.ac.at/ietf68/dm_ietf68.ppt http://frankfurt.wu-wien.ac.at/ietf68/draft-alexan-datamod-00.txt http://frankfurt.wu-wien.ac.at/ietf68/draft-alexan-datamod-01.txt (strawman to follow shortly) Best Regards, Dr. Michael Alexander WU Wien Dept. of Information Systems malexand@wu-wien.ac.at / +43.1.31336.4467 GSM +43.699.1228.3586 --------------020107050005070700070008 Content-Type: application/x-zip-compressed; name="ietf68_1.zip" Content-Transfer-Encoding: base64 Content-Disposition: inline; filename="ietf68_1.zip" UEsDBBQAAgAIAOcAdTbUovzgfg8AAHYqAAAbAAAAZHJhZnQtYWxleGFuLWRhdGFtb2QtMDAu dHh01VrbchvHEX13Rf8wxReRFQAkRUay5BeD5FJCmQAZAIysuPww2B0AE+0F2ZklBH99TnfP LhYUKVuJWOUIVSIuMz1979M9++y7Z3ip/+HfsKf6qfmk88SUz74b5N6UufHdi1LP/X9B7v1t 9701uVACzUQ5r33l3qiJxxm6TJyaljr++Mj+SzMrK11u1IuXHfXi6OjVs++iTytbGlDoV4vK eXVyVP9yT/ZRdHipY5tab407vLI5/r8pC1/EReoOJ6a8s7Fxami8VsMiMWnvMdUlJH1Xs166 ifY6K5Lu0VHPf/J05oRFUsVc+aUlglkRWDnbKFfNMuu9zRfy665KO8roeKl05ZdFqUqzgmQm 9w5rtVc63zAZvVqlNtaz1KiVhh69wuLCL02pBjdjFafaZnz+emlBbWnod4c/OE+vdWmYylLf GTUzJqdf1zZN8UEl1sVp4UzSwWkJnfgQnZmJi8w4YYYIPrTf5krHcVEmOo9pgV+qiYm9LXL1 koiend+oV697QTW7egCfRLQoP5KikiKuMlYD69Q0i1WUL2BHU2IVU5lq91FdFiUO3B9E08sD sCHEtBOJ6GNNd1EW1cr14BqFN6xiJiKalB9VpjdKp64gyXxpZ5V/iC/dMiTTECm+JBw7UYvE nU5toubQsMahn2xWZSSus59UVuR+GbQNEYglqLpawfVI0XCTVMf0jtxg5orU4Hs12wRJWmxu fcjbzEDygSensDlcqixWpdWkiEJVznzOtMNJc1MamJNJZFiMHSkdiz2xZSWaLBwLfea0aY/U Rd6AExbwZ9fbC2qZwpQp1EpyxlVZkiffPzUGEQgLT8JOSBVstPR+9ebwcL1e96zx815RLg7p zeGxTbp6BlPpGPpHRPYeOOxeHpssdVKs1QXySOyLEunha451vLu39Fm6PeuzyJYIMZysFELg XrbinefFalPaxdKTQ1rSMlPbfr1/fsBykGsjTxKBfdp90JNs99irSeH3M1lInve5ub/slxu9 MOr412ff/eX3isCFrtMnRcij6btJ0P1gqyBrP4eOdLZKTRBpymkONjsvqGR4FxYew3nH5t8V 2BffzgukXUouvT/8OmFKL0AJdQDHZFSFPNP7Cir0OmVKJ6CEFFeV1m+IX2ehcmbK/WFKL5nS KSelEhFmkaTHddg59RU8vRKFcil5DhMnCQWf+krJ6PV9k8TSFBFSIeShsJUpISYlpK2DNvp7 5JzXX/bTr319G79+8RR+/ah/ttLRR7OhWgLMsze8nUz3OvJXja75/Tj6++1gHF3Q+8m7/tVV 80ZWMB18cX17FdbQu+3u8+vhMBpdCIFh/8OeVMC965vp4HrUv9qjpEwghAnVVYKLE9I5sp8l jQCCUDVBIk+Mi1EB8QH7fhlfnr84Pn79a+/bmvRpTHzyFCZ+MHEE846M57I31DnOZ73uj4YH BHcDzGX4hdSXWPIKnaYbAWNz2IEqDnkKCK1qhNoBdCRo6BQFnrY5Q0iU3SKf20UleQY1uTkP B4lhAcmKO1NuwO4HA4iJswQRUVr9nFEACk2waqHmZZExiSgVkm1pIkiD4x8QdLJx0IUjgScH DRsBYD+0kFUBnwKoBNQRrAsIsVFwN9RB1k1pUgEuWFCRP6QbhmBkM1SQCmmJvCH4KP9kBNCT z7sa3c9MDRVFU0lvayuThlDdH0UHEB7Ri4842630GmwZYq2oHAiS6tpUALv+hczYMlIAclXq bThcOWDgeEmgC7goCMtE5pBQx5uOICSdUdqPA/ZQmcGhONAXa/YbAJNR1BxDWVgqTK0c7QNM BaS0Wk1Gw5uOOr8aEEr7eXjVhbTkMgp/ehzrLUG9/miEJZDGt9oHJ3ueBx1t/et57U6WGggK UBH5nEJLUpwpMyDL9DAaTg7hC4ePugAdAdnvUC9hKtRNxBSTaOyGBcYyrNTq7e0gyE14l9Vs YoBN+xunJoT4HHC4Qy4kAcCOIK4CjxcFLrVrspxquRDgNfd+KnApzhvMi9ApcqO6CvqlfSXp L9YODHaRQCnHU3QBS9YCOQpKLbJUM8mfJUF2GMnA6wkip7rMOgx70MuAF4g2p9pPbVNGC2M2 FhO5REgq01v0WIzhBDY261VhKWw5ZKitDoI9n6faP78fIkxGGjp0TvXaFQuE9xrqmoOPZLuF Wy46i0Axxx5nMRGqYFGFY24X02JBIavmpAZSdywAiAPbZD0qfZq6DiQitUcs7rWt1LivgPWk MFw6lckZCIKDtum3hmcajfGJKXFVMTdOvc3Boq9y5Ol0w8oquSFO0Y0Hb5OQRB8GXAPrsuL4 P3YJR2ZzK2ph70DifugTtqfGlymh9xpF7GA4x5aQoPTLWVHlLQelxjO6Q1JBYDlxVwXcS3BN 1+nl86gpnYwIpHww8QLJqeYwNSgoErO1+4cZQjdB2+isr6RQQD5xAq3gfwuKO26NWgXEhfRM rXuoJHMGoj4ch8UrxT6zQ4Ik53a/G3YQQ4FB0Q4axO1YAWFQKjIj1ZyeIKN5QVFE+2CTlS6t A8tLQMyUYKZrySbllyoVWdpS50DMs5BdMyebk3vWdntDHS+lOUqkTAJmA4eErhOom9dSyMJY iGW1MZqb263bc7pJbJV1iTWgE3iLeI8uQacMjgzEvXUd0jYNHsAYMIvf9EKLOEfIp1ZzvxBg WG4o6xPQoMCsbJoopE9H+dMdfqGGssKXFcwnAwiJEo4Z5EvHs4EMjoPQ7vqiG962vJHTN6m4 m8IiaYsIh+9+HYB1Tj4Ertj9hrPUAckGl0j0yofEt7Dk5RAAOhF10FFFjhiibAqloyA5D9dk 9FGXth1g0yq2glEoWoJ5oSigIW8ZJ5BLkpXwO6EhyKcZ5eKc6DlFpEw/JKPdMxINYZyHAJfg L7ShHWGUgdYdzUA5TzwCuSjdIcbyRWoapfB3jAO64StJnAwGaHOXfIyxWJAnzHd2PAGQAKuJ bdThEExSEVCDBTvlAJPuM83gHTyf60yTWe90WhkJObON7s+QgtqBCoZTFXmZZEzEnsXCj3mx Tk2yEEFbmRy6nVd5LOAWDt4JWibjzAzSF+22LgS4lqQqZrZ55eIqNdxOy6xU114UteUAvtGU A7IVtSjEOumOwjsMy2DkbohoZp1tWVaJ5RwB1e6yHw4RARpeAKV+CNpJzAr1lRiSckZ40y7y ei45HJyF5AKcgFwt6c5ZRLkGYGW/h2ZJwefX47O+aBb9M+c4HgnLCLU0K5T/jTRopobxIjf5 XOMsSGMLOPgb3rmb/WgRxVdqFpyVh9+2pTp9ipaKQtPkSQ3NMjQpjMlsvo0U8XBn4JpJLVwN Hhgyh1yx4T7GSG2g3cDupQvIoLs25iNV4CuBKwQJSFkZjzFctaJaHlIF0Mq2bUsoORYrDvd1 UaVJE5rw5baNJDqn7Qav09CxvzUmEp67Nczfbxq+g85u+9YRb+HCXyI3wFUJrMJQiAiqLEXe oZKaCmDLinrOj/4dfYXJDXqXNp7hUNx+JgshVpTT6weCMqXBrVJ9F5ATIV/0kKmCooDXw7UK aXcro2l3ajVirHIQLR12buEW7YSJf7dPqFFk6HXgBdQxyExcwFir+xEk0ml30MiQucusc7bp vOoLIUAnuhHa7RZDkPM8u9Nk37aVxdnckj0BHsuXH2hJgFNybi4vABnDYFxtAQNdS1DyE+WR xaQuQRwYci5jNQHi8F+dGWq+hLnMbA1IaYDAYKt+NrcEgg3RNounUSmgpY0suvZf6ktgslA/ EXGmUfFuaQtAkqnPK+4MQo/dUaE/3NVf7883CPrbU2StL8x963EQnPWJB2XfTkcvn0JHj020 g4KacaJSZ0iZOfnopNdRez81M1IqnnQvhUSBxZxqBqjFMRq6+xe1rcGruqKE7fY6fN94fNqh zYqO6iC/lIiI49evX/X+Pyzz6kluYO7dEASLDNGbaeC11vU/XeBbYA78MPcuJHLrNRCo3Orz fcNCO1jpRVduMoaHE3V6xG//gTW5Vur46PVRWEuJVIcDb5YIkjfqr6cnvePeyfHJycve6elL ucWIgOTTN8hHwsyP66q7BrWejnva/1mt9f1TWOuyStOHLly+8q6wvqRspv54j0JAk4wwO1BM hutibHIXSiOEp4HUtvRR36F5XoS45Cv97+WawXyKDbWAjscChFWXAh1sLqVUHnIQKmiKqU2j yXSoW3z4w6yG6oYD55JQirzFhhzB+CSMFBMei4p77vUnajDZUzPtrEg0fRcBjI+m48HZ7fR6 3OEvrsdv+6PBP/t0UaLeRYcTfDeObsbRJBpNJ0zpegxCanJzPZpcj6MLdfZB7Q8uVX/04UBo DEbTaDyKpmpyfQ4jfAjfsjnGdM3TH12IdO3F0ejtYBRF48HorZr2Jz+py+vxeaQuBpPzq/5g qOj2531/PO6PpoNo0lHRz8TVlqXhzdUguuiA4PnV7QVRgVh0J6SuBsPBFIxOr4nJmsgHHN+f Mg+3Ewh+2WIJRw9rFYyjwUi9H8jdE/1GHEZMaTx4+246odPpU+BAskXDKAirYTQ+f4eP/bPB 1QAHY8PlYDoC9ySk6qub/ng6OL+96o/Vze345noShbz84NVj6yKNlSqNV14QqGLIDa9aEA4N fRU/YEEVmh5iiUFDhsGbL1xujmXa1DxdU9bTJ4An6RQY8mm0k0kN4cLtTB1F93syqWGhX/Qm XuZFWiw2O5droe9o+zw9YkF9/Sd+3Ae0w/COBq4Sn4K1ZXoifIYGltik4Q+/oVEqPddwh3xK 05sfaDQpU1Yg0uaBIxER3yx13U4x0KaOVHpgWtSav2xx66bNAl92NFFaX1HwpLMsYpPwnQ13 5mG0SsSClqXOt55ekWcyBLeHUWrIOBzIu88TIRFaaQLokajwWBIfx6IE67DjALpR/qGHX+qH nsIdCDZovnYHmSYNhtaUFVKrsVMbCAdUqQyCwkUKerNs5ZtTi5lkOkUNWQlnq80HAiu6MOHm hMEO0RNnCfcHUKs8pWN4dhH0NNtsnYzGw+JiZfMAmmyGcu2cwBJnS3m6RXiBy3GL3OijyLvU C7Hi4BEUTQWO+9KTN6uydz8cbX5nPVeNjUwZUTlwFNpKL7PNMsyp+QGtuoNtlB/XhYw6OH7I jSULz7uFJ+C4DHW28dnSjpSVdrzqjYzw2lHX/DIj0zFo5BuRRqHbUKzbWrr0TblL0uGJivu1 qO1bQWmkqS609GOtspDY+nE9gGrV8MtKRky1D1AURAkZoZmoce9YV7fZpjlPYFWS2Zx6VMHa ExpmIEz7NACn/Lc/6E/6u48MfRvA81oAz38AUEsDBBQAAgAIAEIBdTaKsgr1+vkAAABUAwAN AAAAZG1faWV0ZjY4LnBwdOz9BVhVy/oHjm+6u3tLd4uUdHeJgHR3d0unICUISocISEqDlHQ3 SKOSoiAh+d8b8Mjxes+5597n9/2d3/M/s5+9ZtbMWu+a9U593nfWOzM0iLGYWUa4BPjJCQCg AOcXCADYG3HQoH8+xPUJOgCUfnEBDn73s0FpOaB/LuifB/pf/OP+9g4NsAZVDCpLCMA6FC2o DP1xAYBF9Ks/OAwDikO8UQeuix8CDbALZQw6YQF0oSGDIlgBI2jQ1+logHG45MvLqtHEQEdR gAHAGmABMAQ4go4AgPvaXQvvTFZAVDQrAB50/jWD9fKf8YgVkACKQ3cRs0i4TgPTAtU8cvRr WsKXNMD0AP8tLVAo5zLP/iA64BxDAMD1N/cyDuTgmUEHuMvgCzTE6zAkAA50oxAgG80WAObK xZkgyCcHQgCMwReC7jf+jUdCkIDruy4udi5jwPQvLjC/MxDEVCAE8IqVMODrr+4Ah/Wh9KG+ h/2h/cGZBeUbCVofAuwDPmtc3gX7GUwHwh0AIAOdOYH+pNekwU9FuW6rqNc+2rWPfu1jXPuY 1z7WtY997eNc+7iX5QoA4F2f41/7BNc+4bVPdO0TX/sk1z7ptY98nTekax/x2ke49uFv5B3s w/5g06X/vV5BXfuQ134gAOkzOH8PIUBXwAdekgppAfOnGQId9LZvIEBR8B2XMRcQ8KDnQECC 7oUXApB+ueYFPPgKcNwhiD1kgM9oxJfM34PCvn7ODed/VRZDcFsQYL5jQ19diwMNvjaRLA0b 0POUL044hAPsg26GIgNgQfNfXnMGxQm4qiE3//ygegmuv+Y5rAC56zoKn8l6o7HdtUADHEOZ XZ6cQ0F9rz9X5GSvyXz3t1xYLq+0z1AyXUpXMgWTApMsP724KAI1dQhQYdoDTqDgr6nbgwLf z8FUhZDArwX3uyzfuqb93a81VbG42HtqCW5iUibkCH3gbIOegwrxI8tkAPjf0RC5vlfkT2iA nfolHTCNi+9FAI18owwgL4sgDMvi0o/AoruMrUMDF6fe5U8J9FMDsAHYQTGRWAiX6VTQEFd9 VgQW67+9gfXyBvTLdBRoMFPsq67+goDp675h5rKPQwFlQ/EXcWig+nME8aP+QF3X3Zsd5/c0 6BtpED+lwdxIg/wpDfZGGtRPaXA30qB/SoO/kQbzUxrCjTTYn9IQb6TB/ZSGdCMN/qc05Btp SD+lodxIQ/gpDfVGGuJPaWg30pB/SkO/kYbyUxrGjTTUn9Iwb6Sh/5SGdSMN7ac07BtpGNdp aABaaE0QM5VkoUB9Auwlz28B1Evg2g7BYwkEmCI85ANRO1tnE1tnPTUPexMnHWZ3G2tgFjQk bcbP/c0/7v/fnHdsv0IbK3rQjlRD4HuGCBJuYNDTr28GMWJp0Uq5U9sLL1bn1PtnV3LERQrs yyfqOfYs1DcD3QxjUqyRoxvUq7Dx5bas8Qm/lXmUfMoBhgw9jIQg4rnV7eLlUTYjhyCN7ZIh 8ahvXdeKncITiIMVUr5udPDGpC9QQf81a0bTi80HNob6yNpftm7NjlMclDoxPkd9fyIVN/wY G62zjefl49i4Ctia2A2fNd9ctXzoewm9KNFcw/daYo+tWxu+8S3meDGNG89mugf2sSwihZge OR8NxIuqXKSmZUb52KG4Dm95WwjlRqnNw0zx7bcdp2qziFfrXSIjqJ/ay/Yqsmw9KEQNAe5h 4CH1HE2snViYwcd/2sk/DuyCYvoRW8HtJGAH/cBW9W6Y1Kiu2OfCfYgJ55NAC8y4e1uzqUZI AZ3TBk3TdIWD5u2pIsRp90r7HdGNq6xgZ+lqJj/2Q4gZV6IQmkm3iGEUOjbSlxjHqtIeBMaQ K1urDXGcZCcoH3Ia9qXRpKZNBGPwdA9JxxyHk3TrPN8xSebI0GbtyFVGZ+7HFbv7bew0fXvG dcjZ8fh23HsynLgvBmtv46UZxKIzKdRZ+UzXH8Sa3MLb7GH5ZV0XDK5xEAVVZ1qkq9HN2cDQ 2kTV2cPaxAk8LqyqK9vNsKL7plde6H+7i4KQaRKmBME0k2ODRrJZj8WnP16mvIxTaHHh80RW SmVM3YRCK/fuUtiez8Kcj9vHL++Z763qGtdy8ubMa8ZgZhq15eoGfz1xXEKm62YaTaPLFpci E1NgodlZiJ7ukthI9VFadrJFcB/+FhbsbLNtulrn0YBL1zvYJ2F+xMKm2cPobcrwxMwaaV71 /XHjfG0q+wu6JXKE9cGWd4dwwqwuzCWvBp9lkB0NFOEhP1vSd719UVqz++FsnYXXwgDqjv7n 8OZjR48lBtlbSSwBvWR0LcAwRWL2aKNMpi/ohvVcMowUwfZfHENNOyQNKxsxEB57442oWcZn nlH3bmubrD5/ESsR0eE29ixqbqapJsICowqneY+eaBa21CHaZIVgMCJVhhLX7/a0yLPTSFI1 eoU76B4l96WAd2R2g9W6jgDS03dVehFr6KKxD+c5arXc4FXrq01HdVgT97o0rEY+6RNeqHyM i4yZE64C9KzYTGoAABsF40+27u0HtONzKU7zqYsQGVAIxQSq9EoU3A4fIEMqExPqkzm1t63W h+boaiMmew3HHUp9YhTSssBqrYFDc8HjC+dw+7U72ctvH7JE1Lu+8vgqige/jmih5YyhoQkX seRELRxFGTItauQWilGXyp2U2EbfiEe0EX/aZQhxiqdcLcrEbm/0Whxt4vbRkyoJ8u39ETJP mrnEGl2l43FLAdOvxFRF9MXJ29VJy6YndN6P03h7vS6e0dR120Lcu2vRuz3ZYEfTDPG9vkFA MgH+HRr52f0Cm/xM4Pfd803HCsK7Nzrrn2/8ua7/cMSw/1LzlWRhLjVPUKBfNciPuhZaNqCu gNYRVLIfWBrYgcK/xtYQkHAI8L+TFFgB+oDPcMDLhnepnwJ82loCkEn7ABQfNgLeKMlfyu3+ l3JdNprAJZ2fxXqI/0CsZ7yG9+ggKt6/KQegflIOgAHj1B9QAV5T8Qehfyzg2KV6ABIkUoPP yYFDlyoCSJAIfpX++VJNAAmiCj6vB6DDXKkKgH+ooCD9kzdB/i8VFP/vqEWUQE9V+a4mQABz 4zch9LfzK2qQv51fUYT67fyKKvRv51eU9UGUkW/KbGBh8LqOwNyoYcS/XQEuGcjfwtgAqN/C mD9EOVDY/xdU8G9Qwb5BBfMGFfQbVMCiDgW0NuzPggbtpGHXN1Co/rpp/6IxJ8TW27axIosf Qp7BCVthdK8rYQdvI/tY+yCvw6Fj2iCNI2VhUvrpzXSjO8MPSWdQzjt1uTrB626VxcqWxVuN Sz0cptxcnure2Z7dUEYsRGc6wi6Ll6SsXbezm9lmo0D49Gis+8XEac7tFASoWBkCimbkF9AF 2knKZqyCrFlNdk/hbFSK8DcLBwjK7QQ1M7gjl5FkzvzfENsgWex6f0NVm94p12BQeLL8DZsj 1RnT8WBA6D3PV4EZQdSXnMgDGfKmeMlFjsLLTt9IG+oAc/3DdXZ69v7PXi3vvynM38b++lVw w8Oy4xlSBPWTdcSlYw0zjsaipguYXw27jzboj5tAIe7rPuxGrxUU0wKGFmI7ARcgaDHqif44 rzFsKBBvGE0jzobIOj42OsvP7hEudEwbq53pxsFtxWXpx8VuiIVZ0MIKXkZzGYuud20OgNyZ HNwekojz7UNcm/d8MhFUUb+YQ0XKORTpy9ER5xjfHYnSPhJi5muM4chjXAFCbfChUlab1MZ/ SYXoD6DjzQa65kE6+IS+A0GLk3lLXs+z5O5cELSgsVqLSqM1ZXz7MA4S69usRlhh14kwV5X2 qY3AL9GFow8JLxOoDt0ivlbgODqxOFlbGJvIGzg5m/z+hA1cPbZSlmxTWdH9LxRn+IAXz9gh HwopSVW97n1lGTHxCYLYHvIlW5drnWnzAapXYOPb823lA0o+ovxMefZ7WhRUBBdvQva+CSw4 uCEPfkKynMNg3o3r6PKYFcc1kE75YE2arXhnRSGM8RabLBsTQfhwHLwzl+eZpYb47rkWMx0G bpg+eStbT04R+SyutAQi43wSjgHrHQaPh1TvdmufOZ7CiOGNudbPNekspt3aE/AbOHlvnUSz Wi6HC2NQjtuK0IE5hqepG55YucEzQq8AHTZsJ6hikfP6iazMV1RJUeJhvg01LFsDXjg+qjgK BqoKIv7Gc8LshyseOqXETzglegKOIp7tPSilKU+w7XvXqhYyTYzMqlkqVuhB9UCtmycl5aU0 eTFf0fup7My5tGfMAgAo/A6MojOMSoxS98avTEsRZBpVuJoj/CQfEyxfRMDVZjTgMu6QGIvd SR+J0HLUfEyg4P81ddkpVGaf8hG8L7uw/d3HYTRY4azlVij7qFHbi8dl916aa+X1omDhJet1 FHyshTIZTcv1p5V4Ni4k7/9p7lxfRsMvvqXGuLxs3Y2/M0MusZeSaIU8XzaXrzwO2UlYyIEJ SnK0AyZqbQn/7Pwg+7VeoJFiWcVBy+Pt5S5ePu7yAT0eSzf7RL6xIkj993c0azPJCh6O6u/7 BCYSkUIwwEjxsNTo2fX3ODQ8552y6nScK30FqwA1kWdUy8tFVmNEJwKbNOkPo++s4R4WkA9j FWm2XuGxWIp9C6pXr82x3jcjZka69XjfiQORFIoBpqt0447Gt0f5gfPS5TNJugXOHxZHkcS7 3iASlsI+zBasYSryG1jXY8VTC0Iuskd5qTB68fJ0GZ9fFoO9FBZFw2BK8P2poSy7OzKIvg7T nY0VenoTiSPRKuTElRwJS0spxGfB+Lk5Tt/m1Yo3JdXnIuu0Z2VLFgqMN/V9FnnSNj7gh5qr lT8nM/dz/6a1NrVV0eip7VKndbJFO+X5sCLf8HgKdeiAvBthTumj4zbCjHLKmq0cUdZSfFU2 IXxD3b2Z5xkkBNzeLc5kWbeHHhVV78DZxE5EL4XKVaRoFy5wfliYX0MD/BpZ/dz9/mVk9XOv 9MPRQ/whsvq5nf9wGJD/Qau/ibW6Qb4PzBXGQobuJwf7kJ87yMHoBv4z/LUCEhYaHA/1mZkE 7EN/pr0cKxE+o/9CVoMEIF7eBx7AYABX14OVd5jX8ZDQV1rGeADSZ11Q0A9EaQcChMnCB+BD L0fGZtCt0IBmCAgABgiQYQAIAIJQYIWmfxv4uc2XOEgNYAFwBlgDTEAISAnkGwCMQGFzgB0o bAwKOYLi2a6UfJdPLQYhA30cHyg0AMZ1rtuQ4H9DD8wWaACUz6aXZ+lov6lwAQVoYJQmam1h ZAV0tgOaGFs4A68YCXS2cLY2ATqBASwAkIUGC/hRFIWXkwrA3yaVEKB/THeAjshXPFG4wROo a56AJzjUb/DkTQYL/L/nBvUNbpgA3EH8+Pe8YL/Bi89QYF5gof3Mi6uplitelN7gBcQ1L1T+ LS9M3J2vWOGEompiZGdrDLQ2cTWxRlEzt3D8Hpawc3F0Nv9+YmH6PQzmHulv3EO5fB7yZU5Q Luvod8XyFVdV/oSrh/A/uAp9o6Zp3+BqRhbLn9a0H7wVA/HT+Q/rGcel6pj8yzooKy/aVuB+ xmlaKxim56DQ8h/gtMfyiu1A9JAd6nM49vujKnfxjWQO9fcLJCbJWB9ayL6GadWfOzscOavB n2yn6GsYPIHeGHcl7JADQ5GSXkRonu1ol8aAmH1VB7gALN7AbLccfUnklx92s3R3IMu6LDoR QxJaGxOK4J7GypJ1vZf+uBJER2bEArWBckBpV7ihbrmDWauWEwwhP6cSmm6EGTPr7cMazske Ftq2PJILEMUvfpsg/36rLyZpeUrpw6pvKBzREb2V/2mVQUoaC/cH3d1RMSupBkO5QW4TFAty 2ZVm7ZzaU6JyDQXto5KKpz1cjqlGdpzpRQPDHm+ECM70Tk/i+Fren4c+tfslimGb0zMYAYVi /hWs5cS2WILgbMhOYGPgcKPDjChBtoJdsK4sXD3iA2k5o14NapuFpjxWDQk7vg28Y4EvOwfV rC9Syt0fwU7II0VkmXxc0V/c9Nbw8Y8LGF5qf4z8Tlp/obF5W4HT4IUk+zFloUoWPr6sdLpW JAldBmca7YT8II/+CyNSZxGvlodf82yqeS9Mhar1C7M5YmNsoTa8FcdPQ0ka+hnfPXnrOPTu cL4py7Jz0j2rVoUVTQ25hnGQdfTd2Eeh5oOSi/VEDCyf++cip3Iv9zuL8G67ov3y1T8ejt3y BdW6BMSrCY7LrtzcwN4EVEUu8Zr6rC3RHXQftCE/4BEh7ciG6YPP9KVFvHRAaJEc3zdhvVWv l+OQ4lSo8M4OSeMYehEissIC+WHQXUP5RAdSOPA2Ds7K1LeAxS+jBjwOSjpTxlqxE337vu1s hg7cNhuIZ5YiYHLyjXvUnH6+++F1Sk2IQYVrPPXHBzup0tWb7eoTq/MpEpZrMkZWuxoznbZG ufEz8aHZWi4njfM1D1Rzv2FLrrcVas4AwxVDc03uPd67ZfbUsiYt/on1C6muYuXgSus39cUW M+L+5ayGH7X4v/p9xk46F4vVEzKY8S4No0ZCrcPoI3gCW7RYOc3uZ+lf+Bn4AeG5VCKxfwzP TvVsHNOBXqsjG/9TYtkHzbjvvyZR5zES8KNK3gfGVagOdAZi+DYCHlLvrqXAh5W36BMjQzPC rihPkIlHIUiVWhftkeV43KbFRe2pTWylyObMbGv99ma5QzyHE2NY7tTBNEK19N1idEK+yvHB WGbIkp/VFpbZxp1tR994lFD4uU5x4wiOE5WKbyIr443KPJ2oI5AfV7XdU9fUBl6dSndPBiAv FQb2KCFHjVEQKoiXI2r6vs1XUtDsMit1krjXIZqrph3UFHfYUw4FkS1oOvz2/kw+y/1s0gOq JiMs2JWu80in2MhVOnotoLQtFHLTgM5Z/4uwUGDa0y3yXYQlJ+xF9iYGHX1sypIHhPixxRYV kDBsdlKB+91aIyKDW8yVVAzRB24OSNuNwnlsis4v3yYxrUty7ju+gnmkSEnXaClGWYYhO7yb +LDErFVXq8/Y4/U+s8NJnxUF80z9yEWozsu5rcfB+2yvV02bPT1xydDf7i1jwVpxfqmUlnca UJ0VNNgdylETT4v0Q7ELmT7y9B2trRvwJOlaGbAW2HEr/2IvQDSwc3w/cLNZ+dBBzqaXVWDy HpNRh8aqSfWrlzOnyrkJ/mzIHNMpF08/aDIKvZb2iBj0GbgNDPF6o84XJWCjrrxsTWNTc3sZ GTOoe5qQi/zTmMH5yw1p36heFJ4XhfaRwHszjMVsJgk62zuJlMSJlnrr6KVcmadYcOu9kVoS gd5Pnr8pYpRFLub4chJsi1WBNv+AJ0nTuLL9dsJeddUn2oUBrWOZW3R0QScyt7RnM7tE4Fmj HqbL7+qktitq1jgOpbpnGUH2q+DJlmNTbzU/OZ87NlsPzCdTOX5i3I592133HFnIuf8r2S/b KuUDv/pxUOjb9UQluK0a27nZOpq4gpuqWEyLDBQbtvihyMWthgC+1Epckjz5yDBxh1sKm3AN CvNyIQq6IZSvR5vv1Ay9f6878L6oOnuzI0Vki98qeRAbfnkm9dEDFL3QOR0IcmrjwEazEftc +Nn+VdPo3C94JWsNisVd6I+oLEvpUHITyl6vsg6cCqXVv4ULpescksH6HLdU8gQplzSn7dFe YMfD50zj+WfVo6xc4/70E7Iu5mSCkXOyZcl3gieqR79YwJAPJ5930rzeITv0e8+y0W+uEWCu +6pzKAXRKCvjVr3JqDWC4x7UryHwzyPbX4bAP/f1PxzLH0Pgn3vKG9gZ8l/7zZ/v/rnsfrgJ mH8pye9wGQwV9sFKvetP5K7AVA4aCEzBRqD/DKYgL+fPr8CU4Q0wdQUuM9DA6fSgfyYa/u++ PLkKwYJgT3h4OIi3RzfgaCHab8rP3z4x+D388bsBf2BuwB/9G/BHP+PP4Q/9b/BHAgR17C4B kOMfQCDOawgUeQmBgv+BQP9AoP8SAtml4C+Rg2qeKdyvIVDRPRvFWVb0cwGLi5bdyfAqOpuH Yf4ABK4XIjjbvm/GHczVP25NK0weTO5Y5zN9Nniqr5KQ5mO24DTYuLrrOUr7OmlinBDpuc+2 E7XyWvnbjwEXyQvpaU4f+PURZLIZj9R5fX32v43mdj8zcMbXsUVs+jq/2vgcS3ba/6QwWmzk 3gzXooVFutdbGZrhQBrJ6A2U4zOHVw8Jv+HoBG+mpICgT+f+WHkd41EYR1CI9rzVdq6JKowI cxW9NOmurlnaAMTDFPMyRxLyIzyx3OAF7A8MrMj7gbnu5YsZeEtbj29BICn0x30rvqWdWN3e X7LYrFUaFIu1Jd+iWJ/d/fwTN+xHw9hYO/pZb+z1carVukKNz8koIe00ZrMBMYqSX79CwXa9 f8shDBu4FznMjQ9fzk0SU95CGyAnFZBbNiAodWagxqitZs8QnN8ugroZvvewJzuyy8qwddXX 6WWvTan20BP2dPqNs2/ZKtQXsjZuaS921hB9H6OEYtfFRC6tWQshgRCQe+6XDYWXAfEYGRle iMy0g48V3p/22SWe0nahl2i9jCp8+NAzrwmJudWW7iXNDLJ4YnBUyN38ezrzkzId4uasHvmM D6Ayv6YyzhwR+szwEO2vaxvyuxqxPjptrgktf8wvLg5H1a0T1jLZ1LjwLModIXjU/5mYhLR7 BGRt1AKh7FOE8G0ojKjSfgM2CkzDTyJN3uVPWFse1COeddNHn1OTBkxY9XBF426NORsjHMnN 3bVRjg0Ui29NwXgsQZGXZcRI0Yqa0FhZkzg+P1Hf/umhJsWjmdSei46SUWatnjZvrE3z4QFX uC/PW7kZSS3eSmChRY5xn8jlRrnuiRrywCBlqqnbqN45NntmnpuMpNsTn+rxVK4sbIrcgWTB puVxWlCm7SaOPNtYBa3D6ziuU8hlSgwh0VIOTvLn7ax99xrjF5YdIRQKeU8xw6zHVF+64JhM HvFRPSyR2X/JWhrIm2AfQb7dUCBJv3uhMsn5pTBCYvB5nWsASZXN5/nuMqVl5FdrMSqfWVCe 0y7Iy7lnx8ZitzYqw0+6TLMRlAUiN8Y4RYuZlZz/sj19SaAaHP0jmCIrC4IpwYcBF7e0W57J a3kjG42SGw7njspMVsfzoaW9Q5aeUbhoxMOr409rcztK2uxG2xBj23/I1GcGi+1Aoj1YHPxq 7kMJIJG9vO0Wq2aNUsD+xrFleC6SWclaZX8xJnw+JpMzT0zuxItPXUZPgx9r1FGLxWgaWldF uuPWkH1tTZbcLjPzWLPPmXy0sbM9/CD5qaVY/IZXhVW6QGT/AzBKqaq+M9rLUSCnek62I63e 2byLt7/EyO9vOc8SOlWPqJpnLvyuXY1R+JUv4O8GUn7uy/4aSPm55H44zz8HKZ4/gZRSuCHU fwUp4PkmBMgrkCL2LyAlE43wx5wY/NWH078HJ4VoqL+EIbAIP2AI7A0YYn0DhgA9Gf8UhnD9 BkNULz8oN77UwygAXAA2AMM/gSS3ryHJ50tIsvEPJPkHkvyXkAQu0EwlBFQLs/5AKzPLje6j p3/xcNFqaaaciQaDHC981BkJ/6GymaB/VoGGVcRYXMKkwrDfgqjKo3gBbHHVDBYYZIsCAseB tNqhJzsH0ZR8BtbF9xTiqylkgpbrisZFFS6amknSVA1JVKnitcLTSINydz74nTtMm76mmiqy nvjgvKKdihKaZCfWtvVgDhFGJ1e+jTjpg8EUoUGwY1+LMkXoyrA5l7VG8Rqx5Iu5Oh0Cli/1 cz2xdX3rUZgdhDXavXXYqyVWiAZdMuzMXFpJsaq8W9Xtc8ixSU/tbGIifdBKRkov0LeQpMTW 0WCVqeZbWP15l1X9Pz57TbSMyjSkqQlJKOXZt95MwqGAj3h6kqZwMueA9IhH3EK0knH2fp4H 09Q3ql7nexjuabnr0O0qjv780l+IPJAZsbwkuZHfdhuz78ES48ZrPo2CCm0La3/w+m0dmkgz Ic4XuPdj8J9iDZLK5kZ4Bz90i2dwsQ+b2voV9wZWM36WQGgfOf6CnZW35JfdT0G1m13O0yiV pxr0qdXw6fPoMtbB2x1I0fFITE6IFHncA910btQjdMUP6gOxX8GstyXypWQQwsejmQthddGL 7yOke0tTCaTPD1hWttgwmWgcCWAhWXQ9gsiepWl5O97TwWK2Dn9CvpBJ1+igfzHN0yX+FRv7 biztIYSnXifzxZJakCi6Qlsf+2eEJVX0RfYGq3uGnGIlXoTwsXMVhiiIIvPeJdqVuNYvSvon qmleVDreN0DaTJPIY9NTe/U2CUUVzfzTvXzuRzGU0lW2HsCy9wzze4n+JTStzx9oR26Yb1qv HoRPJqVX3k88CdF5xcRrvORLplW+NhGjuMzU6q71zmAIFqszYoqzk3//bIUGvZdeM4Tnmwen NPVK6uFoy7etD4asJCwlcHiRxvxSgwv5FanGjq5OvgcwLgsxDMiqwQ/fx7B29by22pC4UO0M 8n+VlmRo70JGo0UrqNLOGGz2RBXG/1yddR8XSmndJZZ2GnFlJ5b1IXfb6RbKA1JXej+irmPl U5wkmAqRiXMF4awEXYLil8DZt0w5+tz06k1qpC9Hmo4ooL70VshIeJ0mPHqTU0QfVUSxPaey b7HecKiLKo57VGRP8P6rfDbsyH58kk8uOiN9zZlMi81CelcA2hDawwWmXdUH7f3hzfZDKe5Z evz9IokMpsnpr5plL8SRzgJGBKkocgo69r7eB2TZfLyA+lWbhS9DfDn2R7Dnx4e3VVLvCuYQ E2mdH9wSe4hFzoRWGn1HEP0VxWzl+qyRg/+KucTC2gMb6jsFFKFTXsLJg8i0STOzulpBMWcH eQAcrPDcFiSKNJ5WUx+PsqyR43g173e56iZh7XHodQlvVTY13LZoB0674urfwknSdQ5ZEq0l LNkOIRklzSizfMvMfkzGV9LsuoBqYFn4WK7Irr+p0YvltWKH4Tx22OT90ba7Be2qx2R+u07c DWeJzQX3I0uhxxvS0DKrcTraIa6UM55nfzvlzM8d5l/DPT8X3Q83/+e4Z+Fn5Qy6Ps6/4h4w JIG/xj1af6icIfyhnIEHh35Wz0z9Tj2D+l3x8zs05AbzAw1BXNtHGYHQEOWlKRPg0pQJdAn8 lRHTBdhCCQANBTbSEIQCYy4wiuGAAaMYJph/UMw/KOa/QzEB6yuHneB5aYhfo5iowUZwlwj3 mSTcrdQ23xUfPWLZWWhjIjcArqb9fmerwIPXs5V2elA4mESzPlIXC3OljdAsAwmRkUWZs7To 7U6cj4pDYg7nRhnCVB6jHHflLMnAvF5ZaYs9RviomLoSHm1+S/s4x+DF7X2VJI9MfxMsLIdZ EiNUjQepxXIpiA4dM28W31eosLBnGKGP1sXkYWwu07ccUU1BkQRzPHFNUdFJNbggkbcTWFA+ RbNkL9nObp4naAzpdgV2Cs+XpW8cln2B/dVLyzoJy01cfZf4q2FALkZYtk0IPXgn4MKAoCV1 jlaDsj8PWxwaLSI6o9PCtS7c1EzUNfXtuWe+7sZ7tjaiee9XGgpNqhQoZSjWi55JD8lLAm2m Cdxfkb76JNQRZF2GJAfrS9tazi/IwFptMGjHWRKvitnKJgklL+NT4lJEtItvlkmDa0cEGyM9 0WLBt6jb6pNvV25dcvc1Ixnh1npT5rFX4x6sLumHlZYFUu39b/t1I6r7j+/W0xgxs+SNQ6pl 0T17tBTGsqaEOEq9NSUxThBLvq7YEe/hpKaDeyzo9g3p7zYQ/Fzn/tpA8HPh/XBkUH86EJBD Xxmt/2cfBINNDLmvTQz/M4vBTWZwJumsOiH076RRAACo0AdIP3fOARENWMfg750h/23nXPS4 F9TroIsfBp8HDr2ecqyjzZ0ayJJ282EcQcNfLWOyjAniROhecNuqUaqDZ3KmQDccSPG6VxKz koGKH7+ntn5P1zzY2Gel4OXXk0909ZP0bEpQgTRFXxHidScn77//hM1Kl5Kntv6chx8/3jqG IucdHKWHhQ/xw/eEfFhvfIVCP7ym/RS13y6V9qV9yOUbPZLYZIZnYBcLa0Rnacbnk2/IlP7J SBovOzkMtLJG0FsXGUvFWOEsfdc4Fl4PGK5s+2JbCATiTfVDczRr6+8LbrB8hH0whVb0WnJ9 Wduv/dYZ06yKFXO80/lYfSwzPvOT6kqDD83FghC/aqi5E/kf34BCXL/6QnMQ3DGH7gSDOmYf 5ZE2fCpXltxYUZZsH8ASrZ85OdEs0easYicsYj18UM7O4Yu75yWR35YSPgJxnxbCti2LCvaa L7nebfYL6A7OyaeCf+BuH5LtNVul16A0nM3fz0aUK/WaNRETLWxasUGlRMR4uBt9REZ8ltOQ 0i//sYPeJFnyc4JFLrnRfVyVyTv6JTEF3RcVbax9zxVb/F4xvheHtr2TIGexaphZwLKi2hhb YFI4RjpUVfNt4uyXL2rlkYQbCApFXNtPO5ub2Jiw3DjKG9gamJk4gisHcp88YhsQXWjJJ9Mt dvqOUT2tuGF5b0n9AUA0jVC4M2MkfXby/UrgnYEF7PFUWRRNxjQ4lAiTfuaw6s/ejPlEBTNS xB2M1kudOB/W3fG7K6OxFqS7nJR9KMZjg4ur5oATVQzjt3YY53RrKS3vRkreXxs9pFsW32Sg RoTk/nXmvw0i8ASCmpk20ZWx+L9k/uqrUk1Fu1ku7Ga0KTegs50RjSshnEvEVFlqsTxRu20o qUV4koZqltCItA/RzIo/RFudwROI+m1Wa4YhyHrndOoHocVQxzgHUjLl+L1SI7CzpR2hYuR+ 3hcLKxQuZ2+zkzNFySnfS8++1Cv2CKMUQDPHfN3o1XaeiIImHRwP4Hge+/oOxUh92f651+SX vAgpOfQixVVqW6/HKusfeiK+GuD3vuSnQuiLrg0rC7iPUQINSQYxl1xcNGG5ycCWFx6KSQw1 Xb/Cto9AaBk3r67Q0Ll4W1kF7UgOmdNiuYh1Sl9lEp4nXod66JapDdoR9Km5FCkdGhsjjlxl 49NvHgwPJu9/Nn0d9oLKSnbz+MOT4l5c6Ph7bapB2QEWjQvmOrN0a0QA1cga3VeT2+NInrD+ PmScVeUJFlzHRPsKChXQ5TGRlfVVpsVLy7JfJ3GNbV14n5kyxHdg3gaeTGm8sRubIJp9iTrv z9hU62/n/Lp+zgXOTgi3ucl/R8+q+I52A4R4FHU8TKWreXO6MgvQaMCVYYkIsFBg8pkHMSsz jLnfsA+rinHC8DQ2UgDAGWsgjpVjSkdgRJZVE0lAglBIsCgfIMvh2vUESfQpXlxTxgtLL7I8 fHZDhZ3+3p2FBu9H8w3erqdHHV9W0h+l8/P4nmbnvmd81yGtoXt0PDt4fnps9LVzz05X8CyL kKX3SM/vaPVJuuArWBHYfirP/fcVC7r8Xvvj+c1+h5WQTUyfC5DJRpKlnEOJM6FIA23fspas GlMOVBviG2jplj0LwqTRcHqRsaD6OLCJow35/iJve9WiDwRODqK70/EQhjt6+Ise7U/mrgwR JIukH4vaxHNxbC10qTjQ8qU1+rXlemugotBeurs5LB9V35HPdB6hj5sL4zb8xJFGSxwXRJvz 8SgoFtHrbsZY2SbpPswT76IhqAjeZPWnxlKSCpz9eNsj+KfsLzHRT7enTHcENuzVc/dReZwf x+Ik34MXpOxjW5Hnv8ddQs7TzsZAdMqlrpwYG5jyubfmudrieizrI0+Ix+WW/ToQx0lpvkiF klWzh1OMro9FhqVx+meT99gdQxXrMB6N0m/5UysTnDxMEwozrBy8h+MdU0+QtdCCxq258ekk gfuTQCPhu+xMihF+oa99auZ6IlWuEfZy8b0R3h8iGpjMTWS2nhe09drTvLR7Eul/fhK5g/qc +gR62ccBrq6o8UnV5Mng5LzJN++JCD6WciU/l3QjIuNR5k7Z+vdsJtYZplHvkvIMkkoNoH3w xzb7pB9j5+dzBnQWveGrUdKvgEUoEciiJxTjDjat/2RBntknFYqZq916axD5/siEu/lU4l1y rv2llgmo8HFStK3PT0kHBuFhCCq2gz4An3JojUIP9Fhva0lgj/kSmbowjaXUjkeb543xvENM bAmNLGzRN5BfE0P/yqL/3oX7pdWEvVRLFPTMJ1esgTnDBvvHzHEYqFIfKIoPs2I23kp7FCU/ gAh7hki2DrVAp87gYGVRvvNmm1GBvsKK0eCJ145OQ4Lk53eyvHaKORSyPd3dmM5jB1r943mh 3mmvG9nS7JbYFFo2Ve74JQfbS68yGLSdjxlzaQocmjLc75MP4NXW1Khnod0ae6gmVRVoYiza Jmdy6w1mf3dP8wx0hW4CJNfIgkhEFQp8iJ8cYmn2phY7KZZe4jMdwuHXFa806d6rircDER8N hcl3QMAebirB+EDSLz1tVYM+g3SznJkx7WEa0BxJtCtHHnhklCTBzVDNK74n99o+vjMY+UMx JemaOl298qfTwuSEZuC9HoNTQVXxHRp7k1Jcc7Qj+1wG1pFvMwc1Shih9AkSYztI5sRy2/7m D700k0MyAiJN9vRiRc8WPqTlGowQKvhu+IdIKU3FqFHCT4eWG2ftYBvuW++UU2pKdImpSWun aJVJrsaWZpY83PS0O1SCzrQtlFaHRf5kfFq7owkbLTK3mrDX/+JWx7yV0+LOJ29r9kAVWxIu FHnbC5H2CJ3xkju9e43VRWHPk6s1o/kZ/DUtGMxNLC6SyNOcXlbhWAmvjJsyE7s7KBvhMxJm YTP7xp5DnZDhCFTo0X0N4V2FU3qA4e081A60Bha+mnoLtQ5pASc5xD0tTCT3NOG2zQSvxcv3 qfswbnUwC1hvJ+KedSx85HQdTqvdStNukDIyw3W1tulMekrI78UubmCeRmYcZdT3sXgXj1bA E/7R/MP6czrVEWgsbz1MfK3Bh91QUr69w4xzx0i/GrZQhmPTX4PXLQENajQ/DVtXQOPnkfca eMgjtrJiBx0GuMHb2Y3WoT+mngsbKh6DClq9jcIlSKm8tY1SwgjPHGrQlGJR/+RZN5YR+zyb eSEhPO96osPTFpuarUdCKrgK4dN8xqX6AY/s7mzjmD2WpZWnplShZWZLdkSlkYlPG4pQ++Zf wp0do75Knp0n3FU/JHXo4pPxJRXCu4Oy0RDdaxxAkKT09KLijJsw3IyFDFfnXFnYaToYhjbr bd8iRWqhHHTPg7q69oV/M/31Mwj9y+j/Z2j2wzH8Mfr/Ger8cNiQfwx8fqb0M+744YYh/x0K +ZnGz5XghwtD+I+rxHcpAwb00wERCrxeKgkNmhd0xi8IXtvB1cTRycLO9i45GzMrOdDE1sjO 2MLW7C75PTUJJm5yoJOzga2xgbWdrcldcg8TJ3JBARREfgNeI2tHeQN7IIiArROvwV1yc2dn e14WFicjUDYMnJjt7E1sQWmmdo42Bs6gU0czFmNHAzcQYRtrFnZWVi4WGwMLW3KgoRnbXXJr ZzZyoLM7KGRsxQaOYwfHsYPj2MFxoJCBkRGo1EFXXAe+x7B/j/ntGo7vMRzfYzi/x3B+j7n9 Peb29xiu7zFc5EBzawtbK9AbgT1yoKmdtdRVxPcQOYtAKYAUeuVflFvyj/ZOz/7YwM07tleh HWzgJnUqmsBkOWLwEN2SD4mUAZoxBK0Uszq6S9aB9+n5XQuzWABKEaNgyWBV6naL5utOMeqj JDuxfgJPnMovor0LborjTGYJLValLUa9ZpRN28wsT+eIH2soe1l+S3ZqiI8bC0OVCgprcj6O JV6NyxOWUCJjzWgo2SR6ETC45pT4hKTBirQ0tNv0wJ32fXZ8UBJ3vSAqc1GSaNQEbVfHi3de Z5Eqz+CzaCcJCOVzXhoG9lYE5e7dAa+g8EpagsIrMEHvDQ6RCk2csewXgg+s78m6JU6bD6J2 hg4lMlEtHd/TkFPnYE5ipeEsCOlVd+3vz9H8UsFj/5n73V8xcgO6Y575U02/buFCmKY92Okf Dlh0wP/QLzfXlK/cQFu+ryB8LwHYZWFXtInzzi6/nxSaxhlWckeqRQ7ZpkJ3/D4h23t0NK7S LuxLBaCwzASUfFcw2mr56Ddugx72A/YMX31FxwdJfATNBEOMycvW2O0VL4TefYhNvajwmdSU l3yVjlX7NVtk1xxFx/5gMKEM30sGUW7VzuhWIfkO3PSY45fqb798zXvwBumloFb/Gu4nIzc5 Aw87F+ffnVx2BJX35O2IbqE33t/wE3oXX3Xn9UqRtaTFzNc4NIb5rwqaaeIGEBDTMxdNUIyP 0mpG6u6xnEBw2JnOpz6cfp+HUWDy1pHqo7s775sw6UJ65vSPRy8aeFIMjUke42DIlPPMs0ey 4KUL9jsbiLvIvt4Yv/Um9jXQSZsvP5KxotIUpSxfhgPBy8qEcHlxkt8s8VYzoB5DUwBfrjzE PpzPb7RTr3gyrfxVRBOXXB28YTIQdbf69iRX5rqA+QwrEmuLlyBV9bgSE/qKzCfo+rh7tS20 U6m4riHuENhDiQWxlCiMpwBVhXChFlIIowJjIry+ImYUo3nh1wvRuuu5CPOH2yNAXY9KVBiz OQkzXF+q5BbJg4EznluPDSu4+g0lEPXhbD7gi707puF+DBknxMk8Un1PS5C4NHe/GmpCExFA sBUQcM6r/rUsjT9x71HCUknDmihgRX0YLzInIOAuWpmC5wK1ml5DTLYV9m0HXbSohKUM7YSC vYi8h3mrNlDjdBckwvHSvmyEYk9394ZXresG7wngp4f6DE6585I+2nOAj4sFSgVNBM96K49P cJxhzQML7J7ymLbjkRkEuzBU4zCuQRQ9hpQJgMNHWoaL7o7Px0HWWimBoWANe+Zq68DE7SOs cEvdIfRTmEtfhhBEFJXQgBAxXOOwMLsmU/itGL7ViGfaiTob6AS7Ct9CMPkr/Ca+bGU/akpN ClBSZ1AWpq/tDBGWCjhLzHle4xbRqiE0mOe79mrL3BsVTnbtQrRVAbYt8sXChV6rSPOt4Yhn ARe0lfl8a9aHQbC1okQdkogEU7xZ1epR9Nx50FYpaxBkOQKQTUW16zG+uJK5d/TubIzX1Lnt ZhstfTsG8qblS8ZoJFe6Q73Jb+Zo7YJ3kvwqSkQfMosJe8LLaFFDVm/0ub/dKOfE9QvRrwfw n3vBvzyA/9wx/HDMfzyA/9zUfjgcyP+g4f1sZwZ9aWeWAerq8/7p6v/p6v+8q7+Pkwh0AtW0 Cdj/sKvPuddrO8uK3oC3JojeQCOTlkULPSu8ydW4ajAms/Mg4lGYEqUwe+HZIYlKHFQ1s341 3t2CuaW+LebbjfOVT11G4Ez6o/Se69lTR5dWsStynGvMpfksMoqx37awWo2yM1mc3Ku2yytB rmvKLfYJR8anTuBckY8qYYwAEk6rcFcrEHo/eLCg0v7Sj95SUfDh3Iaho8OXJnNpAoHVE6Pd bc/ioFPrDlkG+S3hhjHsFkHOnmCMfpLADw3I/t3TJwnLE8JMUeHjIRXEH/mKtHd5ciITS1Iy cZESI7TY8dubKDQQRoriUpPbAl42JNC1OOs1PqjNHZw+nBvhuEdTCRGM1xZ6i7GZMGgp84jp zEIsy7HiYNtbhkrbIJVA8svr9QhKeuGAcF/lhpKID0tCReZNxGHMb1He6FfTbXzyFPfrSYly 9FRldis8VhLZKMYZfEiA9Ezal0XxnRuFxkjaok7bMWb76g76pF+fb9QXiOemFcsf4ourpY/Q 3u2RJ/K233tnmYICYUMP8QhpazKBV/tpRScOb0M0EhMCFmsy3kek4naOyKRuLXFXyVsyg+wE fVDAfHuaLG6oHM79OH6f2VuTu1tGiR6q4c+EPY3DOudbm4k8bhPWTqpav5DuertBqEaNQPSM W+tQ8QP1S+4KXQP4Y9uPa7Kc/RopqsSKnfBKlFQj4XO3LpSZ8/gaOY4FNx8/5X9CsTUOda97 /BPLSpLmGAJTaVyrYUnVFqifFri/Cn1UqHzu/vXl/HD2WV0ZiwCXZLyfG32DFplYZ63TLuXq wzVFGf68itturw/cVknrivD9sPoWyFl4TgWHdOi+3qY0iLrI/sYC+Lv11j+3lv+xt+68nECJ BfXWFvD/9Nb/9NZ/2lvnm31F5QIN7H7o/2FvXaQx6zjLhe6zI3fxsG3yEYWqmxW5GXG1LccK 91OpbwB4aPkJYBcEUPxg8pARIJOzaaomzsKOwIhaWm926O97YXC/x5yhko7+dky82xMHSuxX IyJ3B1bsXtZHWhAT9Kr1GOe28/viUp/bn22y7GymPF6/61XCxQUZws7BFeNktan5ysydWcZ0 /l6VUnIvvQ575P2zKdnbJ6hbKgfHT56s6HYj4oTuHyfv30vC0T7V/SJPl7AP1JIydfCNx6uy GNowGrJkQtZ/t/Hp8ZYTit1mwCtXh9W+r7hQ0t4og99U8h4bUsHiwlQTMWXtBPdnP1Af5UmL fnFfC75cfVbQpbEIb4bJZ4rZWS0HGge4rJsMb/rpXgsyWuP9XjIiSq5Zk7oG30HTMKnK1E6p dxxnhhip4c+ia8hWQ5Wf+3m0JX30azCYs+J6g3CQSv6x6nBt4dNXIjf14ERymQNdD9WQ3EMc P/bHhYs0tTtzK2izsFHe1Ee8Md5HTMIwfILry8NTRHijHzJOpCjjX/r6Ic637i1hM9Z74yQO 2/OSGrJmTUW9XenW3+CyiC0NDy0xcz0sk0mny7E6Ff+QvOwBk1diAZMqbfTkQJN80H2+B5om ItlbjE661L9f5bFPR6xHSuci32vtO893th+vMqOK9JnCQ/uWqrEXimUyNzEph+c2JgZACNQY v7IzaUknfyBOzmT9NYWAwXkVMrSuoxt+ru4ucY7SeoCFROhu14uaGk2YwzIObztvV4MM71O3 ETj5kVR2Dam34rrd2KFrWPQRudKfpbGFYN7S4tnX3uqzEMOnOes2Xo2fUJMMhWujvFUeJHW0 fIyBMcTBpCWXq7cs5atiSqpH1XaL3Xqu155zfUW82mziGQGDHYN0eI4cQ2VXanRxeauKJqdz 9otqWnV2nx2ZJiW64/uB5fP8GdJ8hq/D7gD2Ah48zEJ1ZThpV0d7/yhyjzRwUjAIwR0a8zMs HD9epNGXAtzGyTcUsf53+BepAqVFXLzfQbwYOfAPwgRIMr2h02q3AAc74YQqiYk/52BhygDS KgE0ok9qsbSpEwDcdwGYT628JKlqsURFEPzvM735Yu5oqAL/fvutm78ko/DAq0cfgW8ZmnZm raELX015huPOlio8sGOaajwuSE+bME0sv1PCwTFGYImb9aqV07Vn2NSBRdMaW5LncV/27lj5 h6/6lk2LXDPsb6jh+x7qMkXGkHvZyDI1G5CzouLeIdAq76x6u/J6q3XL04lh3/Jjj0ejZtMW 2c5ihGoXcr8r6cJagLS2CmLvHp86LmYhF77InGNetH3/Lf2t+kCTTS/RZ3nKtHpMt3qZot1n EsQ1z3SOKLnpdgOWKPv3sOIkKt2aUz2KhgLWBgoiaYgV7skeYksqioyixD9VbiewBbSUfrCl chGijsT78sRLh4PCWPiOQvJLy8yX9E6DNgg5e7LizYV1DDlfdY8wVLvJc4XxzOtiEYNGO2c+ NSQDoWwYHpsEzFKzpnrhkDfdSv68ZT6KeG6XWxebVIdiq7M1HqTvG5B6H+td0LkzfNXLkAum N1IVzaElUmMzG3wZJL7qPusjgdpZlY7UFcB2hclb0fkIX8z9T5Ka7Uk+vSCheq677PvhDs+y xAfyi1HCFGfOsBKHRw9orHKyPTJWeDjj6hQy+jw4dwuj3WDDtxafCd/iczdD70KdJ/haFugG 67G1eKZBEojLu8z39Pl5ipB8mw9V8oAZ5Kd0O1dyN7KD9Cr3nFf6k4Y5530bLA/ccL0PVqCg n+GK3oZOtATkwWG1mp872J+h/e0Ax88d/v8IOCLgrhbdJoWmh/sHcPwDOP4UcMy0Paw8hAIA elH+Q8DRd38uboYLv3FHbl545QQF30j/LlJKEnXttLUrogfAILIKS/OgSwvS5/i54muNlRF9 rto1FHwH569nzxWbvKoHqWYRdEyCn3qdz2Z2BkVEUqoqOu30Hrf19xklLtEvlSsZfiIRe9/4 oOHbdkkUfcq7PdEv1vjcajhfap8QqkoECuPkk38cn83CRrywQXrmFJh+bBFrfk7yrpY4KqSt G/gxZffpWd3guWF9v+EXMwzBjyIpT8WQulG2Xo0UFRE/mA4tHsuCjJ7zsYzjSfj8espbZ+eu qYFnKMzCgzd77lRYee6Pgk0ykfGnDvtyrLtly9sMCx2Lg4GVMz5j7wu9x1w32z4pVzDeKgxp JeL042Q9UYUICRU2O4k3Wh72fbnXQRKDjvE63Uvq3UOBsnBJQzsNbZa3LC8djr8hcykspAuj vYMoXXSnddSdID2bffbYyewZAV2y39fCEEfrRpZlOxxVmFPKQ6vD5dBnFBTp4U1ymiS+omoo Jeejb9uWGIhUzdbYMFfsI2bKl/DlAw2mwqVZiQcgBT/ji789pMmGHT6oMWWmqLjIlkLFHkZp esxdslwplGm7wd3bU9QnTN7PH8e33gZ8+x6LVzoL3j0hbFtPo/D8uRcrApdN2ookv2PUR1w0 8j6KdgiyKXqe21lKd/TUzdvfMeYuZth5s0fm9i3b9WHLUaYYpLubBJly2Zo/0JDYevvcgC5Y hrT2g7Faf1pY6sIkVzt/a3fYqz2CGJfXF3wf4Zct8PhlSCMrYxGi8DEYPDveH/YgdmGOvWKI O+9Ga7WQQsg15X5yNnToA9zYCq1g/ayMqBZeElU060JSJ1WzNTthmV8o7UEzCnFPT34actFh bMyqnt7UpggKQJTW8mhWAw7g6g0rO+5a2QLhj8JiQAKY6qYCJfI1BrkA9M2elKICtraprFG4 J0Wnut/YWyelb9GNqM2qjEsrLhnPlu2H8o3gfsKxacB0yMSk7lDoIv36urokQy8/5dOgLdEy 4gFaR8Xbr5tWp8mIe4TH1l5JJEafnhROT72Yfqoyl8ROFDspq3m3zzxAqJUNUYW5mvQTAJ07 VYpvTMpxq61HnT+chYlHk/fO3KkD+rFLenPUafwXrufvjtu6FZGIe2ubqu9HyVHVbA9RpLz2 8H2TO2RakWtxHq4wLEfJyPt4tTjTkaMObyH8uStn+VL9fqcz/WaHW1Y0CYnN0an+huIx5vy5 kBXJgjUnxYsdk0UEPckYoqZhc9g93bbJYevOOySzZS6NPiQ6dkdhRW4iCqfb5s0rqUGjk+9X LtjIhqY/cRmw4L+enGOAVF+Lbp1Pyjlv7x3km2V3D261sbV4ItPAOcwP9xVGRO0TlfWXv9+I +XOP9T+OmLKwVwtVkkK7QP8zYv4zYv7piHnx6auBCOgV7SH/wxEzSqUX/FF4A8UXtKSdMSa4 oCzqRHddf3XLb/4dDk/hmytdRXcPrd9BQ29k4lndfU6w496o7SJRoW5gntb/zZDro5zmes/b T07nTV51de8ZxUqpzM3uDXjhHBXWNGgcM67twni6hUXxW3cBP7pECWCRd2kRwHN8TMyt6Ml8 KPXgXSTmUmRDNO7k3rdo1iENgY0vxI0vCyUK4WjQJKbdOYVzb6lcZNp6J7875bElvQdMzTmf Vdm6m3s2pC/II8tpjaDxOSCut5g5BUb0jY4hsv5nPjXLAuuTKN/NO8k1dtuwmqqoM8ptHe6s IyMTmNGIXxSb0tOAm/ScHZjsnpAT79Oox9EYwoGqOsa78D16ahObWNqags/1I9chNxY/qhTm a6ihlql+JNRrefWgB46gn4e+QTE2v5uUo0uvZ5HtLGH5bzeb83Ph/4+dTxLU1cq5pNCY/8zm /NP5/Hnn0yPIK78AesVWqP+081G9MZvDV+5Ei9iiHlsXI4tJVLUHQeRog5ApFfCuYGTBTVpa gYxntbXT0bWGQ7vE7ngiDFXUOm2ua3xcBbGyZ/3t8zu7X458vmhGSOnfxjdzoICL2s07PjLY 7jX/SoL8KRjaaUqjVWJCrIkxosDS+pYuT0zSoAJzpVADykcRuKOOd8V0JU96FcWRohNVfd0V m/ieEQbrPfO0GB6RwhwCOJyV2XqnTZ96TXm/6eLkOdmJM/9clETIXlNhGksuKtrZklik0ciL z8RYScxNndBV6ox5xgbMS9z2hfb7fBKLRVrngx6tAK2axZgXiJBUnWTQQHsuLTgop3SQP6Ru RTuNNGxHKTgdK6EQgOmFaYlcOFlQ6Ganf+9sG8WZDVT5tJnlCyXEL3prn7+PEihiLpSgtd94 pjqorNHJG3+q/NxzzbQ8h2f4ROvU4DSICK2CjEOgPH+acaOZ+y7lkiL/R2AC9chD2MBpdGYi GeqPD7fvxB4Tbi9/eeMzNzIBtF9Q/KBcdTvaE3cVeiOk/a5YK9AR7zOLfs/tetFTbiwqrcZQ gCBLHyFedaf2nQRvDry797t6jQ2evz1fNLHMegdJ/S5wwaVW4ZzHe5MrlP8isbv4vtRy8oXu /t+uZ/y5Zv6PPSPH9WrlpNCF/ygy/ukZ/7xnJBC0q3MD7zaI9x/2jFsas3HLXOg+ivfOhd8f apayPcmEfY0Z19+71aemLyg0ZbhVxMRTrg/US//0GvrDMhNaamEOfQP+LTKSQ3GfdxNtnTbP y6KHTApX2/cEne9SG+csqzUpNLBEKrpRxCSG9CabyUSEV2PlHjocr6ChddT0LUs2qVq1+Ysm GQl8wTSKcMhXlQjv8vgmjCPS2pg4wnPn8/1mV8P+BX++QV7har61Vf7E5zqvZovuv7xHGK6n VjkQzIkTjktwR98vJUd8fSqCyzoYl2poaMMovq8EYNefqmWNZ7fh8S20E77oDuu2l+pnwadm bPH8oeEpPUgloyrSdaq4SEzQhqsf7uj0ReLJIz3nYnmay4Y5FazbOV/KeswAARs40L17v7O9 czZxIB/NG3lYfzYcTnp2CQf3S9kUIe69+GEDLpnnLPrZq5NIa4+8ABqlfrSr9QX8vG409p8Y VeIRPuw0FmYQJwkUrll150AKDp/1NK5ZrHQNmeWwYJqKxqjh3p/Lcef2RmDL1U/ZHqSfz1yR PcqVFhiQ4bhTj6wCWJH/oAp5xI37cuHl0EReyywvcdqqESsMc2xRlBEJvMehCapLbKomNfdY OEpVykA553FPlCG5AspJnywFJwd2MCaKO8AV6kVlgshbFm0n1lb2zuVP+TAe3Z2fje2Hv0G1 0S/2G+xstz3i8et2p8RM7NAX9k8oFdXxftUDeDsauI3o1U1VdAsDvzieieAgVGmxkuXM99XO yV3O9VK+NtupfUkgc40kXOPJkr91id1dOTbPJfJl9r6aKEwYy7Ii2s3pim5TnskYNbwXUZlv HMIU9UrShTq6Yi1ZSndfheMFma+P1GrOEnEiv0GVXWuw7Ji5ayZOXwnVt0WisXMWy2jethEz oPm4pzwETr35zlc4eFtx2a4VdOCT3O1Jc8mWMOuaJNxaxu1FISJoCtYlviJxZlm+omHUNtLt Nqti8AnvELnZSYJOGJOj5swJ4XaG4GlJwi28F/KN1FLDn2+Vbh6MiCs26y4p2Ust9lAEB+76 VEcEK3SYyhAWjFPcohiv0e0qrcN6XlwUdQ8z8NU9RCzUD9hsYzP0t/rZcY/a7Dm3/ETfeh76 kEVAYdg4RxkXPC+ouDMu/Iy+hxAQoiC3IRNCVdnJC9B/JjZWmkPpVQQFmBj3IYmsd4xxAbyp M7RtB6XpBHMZkgBKS7YIy1ABGvdlozXgANb3gCVYGUdxUp98TuzU0BMxtLWHR04OSWy6tcVk 3jJiET3WoR1S9SyMdBtiiVOrNqu2O5+I2JMurpLWIiJTx5l+LqCjYxw6v0q2PXCsMImbP0eg 6d1YcO/MYfxZ5puz2g+EMwovHbBtLBMfWL0DbrlBseLxluXp9pMF7M55VoW7bY5n6DXtW2K9 OvTbGodVGGXetxwj1GGx+qgiwetRlXB73wqOrn7fCn9v5fzjxKvbaevee5EfKzPr9q3cg9R9 UJ6//bCwNbmmVMybGnyLdHGETTNPcG/ZQ5SJMu2BKMft7BeQCoVfegEZcPCONfE76wt/O0XK zz3m/zhi98Je7WpCCq0E+8+I/c+I/acjNhkyBS4JCC06/KdTD1v3Zx1nWC+/dRBeOWzXRqYi BY6O5LHUsgZ7+xtGTkUzelB2PPT1iTGOjA3CTv7wGO9B0iDpNul2yfulb+WLOYYyH1WiAg4s GIBylOz9HWe0Nc/00pAhs1Bw6N6rlCqXGvJyk/mdczIa9Y/K1sXFhPiLriU/CuhLZkcVfWZc lHGsliS3OCdSGEDIX3jCeu8rwjsYNL5idUFGc+aAt7rbRix4kfwGCya7GqwGlpgd3Lc/65l5 vLj7oBbtwYtk2OgK3/U4zcSwCf7u1PoFCAfuewZ5JFEYnuwrdBiVb9pPpePCsWE5PyUyf4xg Q8IcV7w30PPCEXdyXO0xfxVytAk6Fwthshe2vwF6E3vzoRynLrMaG+kIvkzse9o3IcVbOBKc prKicZ7sHs/ly1OZpihPymBIjmEWWzyVt1w0Jb9ypT1CM3tONCDlRXIPJZe1MaE7kFqEXIHI l0TXUceDnagil4VjpMv2BaH22cj60hfCp7xlfbupcve5PvO9m6OMruXiqFjuQ4CstkB21AYK 5nO9TOGufXbrJRLHUhT5JtGXPvfWvdWH+NIaT4kcxasMIvDxnrxOEC0wKuVBocJaT6A/tupP K49/5fTxTnQZe9oBqaGG7FFTrA6Lcby8cY9FK3u3KvdwWVEXH8vMw/INwQLYHjwIdvT1pcNF Epti7VfljBs+wo11alaHD5j4XI+PgyK15iA+QBmOMm+4eJqd2VKI9a9CF1RPW5W7TG7NNCzb 3OfiVJhu7bE620HeEM88hwW0DeBaV4bvA/TrH5QWyxfBAYgaO17rHS1CvDlwNbgLmDpnBsWd mOBNQPmTbLV6AkrN6ktvv7GcS4ifw78vX0qpr/Gk30/9ST/wvvaxuIvBe8/b1SV6I1SfIGDu GoVj0y0VGXqjed43gRsarNDeHvyEuAw4QPpWIPe6ek9Z57GXXad401TPo1ddoQdVa3o+/Ra7 Bj792+knalMKK7CpC1E2PsVkKI+iUfSCjIwiY6JtfNB5uV5/ePPBdv8hqajXllsna0mJuYdq rW4kGQkxFo1tYfsrlAFx3GPkMuLz+xaneH+3ceXndv0/jisOl188s4LGlcp/xpV/xpU/H1e4 B1JXHoLqnyHyfzql/aTXdpYbO+QQ5hg16OAF1TdyyTAdZ/bRFPE4WKNDCPyIR8EqCULspPWK CxexCSzPsFkDyLveJr1oS1+offx1vNMme0qC8EG1Z5Ix2UiQNNNM4URMxerm7l4Hp8GEg47D uCWPrOsINdnHnQUdl9x74ygLVYqPhEVn4wbjqpx0ePA1ypJQqslmFCwbHlTlLaEK9q9ksJ8K mt+xjM1fNx76rEXj0MRj5luvNS5yPh2RL2GJJxal9u7hQsnmwIHlHI/ls8e47L4HdHGzLp8n ZL7ErN5rbcic1qeV/fBZh1Gtg9OOtTQ2ANfMmDbaz6o+93Hc1tcPdqNMdV4rNHM2n1BeMmCG x8cLe2P0nyqicPAj+z49n2L44ljP3n8a8SQMdnYAk9JGMj25XbbWRS5I2AEfZ5NlcCpiX29Q A+0YRqhUD/vbpwDJCzeanTnNCQXppO1GxDxiVTutL/3sc62KjoI1NJ+4GvG/ye3OPQ0e4ouL cF3KjZG0s/OR8xryoYzgJzMVJXs0TPtMO08QJpc2wjtIWCKzOySen+mt72NdhEjo9RLnWcEZ S8lbPm/usHdWaVQXqEhyuL8oelDzTOT5lwZlgjD8+zHmFMH0iyZU9y8Mu3zTqTQwrQSO2pEe wdvnLpc7UI/4FIbp72HeaoETw873TThe3oQ8m6qxouLBjZiv/VZV2HHngxb1y5myB7bPOPtC 0eeQJFTcfFFY6FxcBlFoGjK0uyMVe6WCEjGC573I0Hv6Xo3GuIeqa6hszzEwr9bdM4dNiqes yx3ci6R/mJWeYaM06rPUUADc7XVWyeBWqFutBL61eCofiR86ZPwRu110yLsESGhr6x04Udeq IBqTMBqaz2ed/3y1QK6UKmTy9T2X/Vr1COszW/pXiQZEJUo+D2YCYge06llVALP3IeMa7hx0 C4y01JeqFFQqvcoJhOx74Qy1bq7tD7kkAHUntYmcmU3i3RLEIbtoanokn4e4tmFUTTaULRcj exY3S8MqgQWxyRfaluZqQnj23Ucx7vnfEuJOD9wR2HcVUBs8BMTdF8hZhCXml8Oq8VEG7aon i+ACohpGoVhani/YveqWjX18uBvmxs48b9qMYTwVHmOLcd5H47nVfdI2V7+/ywcg6T5H1Ff8 BOBGfX7345kDnu0r9xyrEsE3ibXv555Em7X0k1YjpUnib9g/6aSTyIPDGlm7IOrz+9vJRD/3 Hf/j2DUOc7W/JCl05D/zO/+MXX8+dkn738vSANW09P/UWqcoccFuFojeuUCz7SfUkK8wYvG0 iHI8qdhrPaZA+sKfoam9CB9dieV8x00/vvABNdWMbunDeha3dL7U6fEm5SLxj7nDTgK1+E4h WskyG3NpgrYlkuncexDOMD3maXuod5u1GvzuVOTeH0dx/kDFOjLUFMTzSrTURNld2QjqvFVj rLL6dslDIdVqBno4Qel65Q5n/nMNTuBtstM5unPT+kTIZsIvIxmojWGiMA+XD6sqBV5Oq44V iSqyd5/YSGVWJBR7HLdosjsyydN4C3tEVhUmh4TgcrHTGouFMkWj5iQgN8xxt5sXzu4MlGz3 UDXXu75PLsoaWByMNDBilVWVN/2qcvqhqVdG6VN1iWZfBiW+teBHtQrmR6vQVJ+gsM6y3HVw 9s8wHij78RnqrELRBrRlqtnOmn014x1NU4gxcuwqvAPj2Mi2PM1hQzuY7Jv+vMaqQqOPp2f2 6f6qKCXf1H5quOTrw3bOFsQTlrwNw2XFr3KRSvRkE5mqyf5KU0px3ChBesLW1mPZnbdvu2Il IT4k9PPHw5Wl6uBACjGggqqHIRsqw0b2gaXkoeB9GMEhlVWivri4lKG9tLZH3YFC9UxO+CP8 epXkkVvsE4LVIXnrXCF9GzVxYblsehe9EFdqdU1lVePdi4e0OP4v1EmGziiWpl4jlPqJJnPn H++LCrDnOkgoT9Ii+2QjPlCj6aIZMeuys1xXuN8c5cIvejbTUKOUTnwa6vT+/UEB75n0wKft seWz5hjdFT92lyLHav2d2bFbzkxDeFVysknMkIYY8nryWRJNGrjNf7su+ecm8T92yUXXa5qR Quv9I0780yX/eZdcTv5EgREECVD/Y3EiqRs85R6yAxYnPoXjsqhAzwqncjUaiz7jB1AMv0aP IJfSqlpo4tC2zpd/mNEljJeaFZJt9yH9Fk/9u6q0r3LreVh7tHcVyVvFxsejNQaz8zs3K8jJ Z5SUVecRuGIO5CSfRA6mm5aPNTRlnthawR+h1+XsmRtFMa5o3CeaUPGZl6ZenCtUZbr9uWDC oXiN5fPcLrdsnMW7EQkx30bPwWPbKkv6g+KXr5mw3vIoR6lCnXqOSpE0dB+6x0dY2Bvdb5Zg 90IYfvrWHhfDKs8zWSobRkyXyUMe2sZgGYOpK+7O7YpXld5qUZmP1/xoaxPQekpqNsmwLSy/ Lt6XKPNb6t/KBnDgt/sx6sEpVr4rVqtPHsbEFHbdg/86s8LCmEU1S6BS273B/cDm00JpMdfC QumjNjj/xc/KsVp1YeeoNEhLNWI5oQVpdMG5d3T2s8LXgArIC8H35/ZbCN5GfXofUlN0X0LT bn6ssZoOQbZS3kr/LqWRllxEuwmlrGQ3d2rDgOzzj9P4KKx869yKmGYOhFVOTLIVJzPjXn0b HKcP7pl3V2k+vWvGNRuLpQXJc+r/Os2wk9XhoDLokUU/jhk2bw+DEe79hhe6YevwL4lEbV9w yWEYvZTM7iUQwlearzfO8s2IOOd3L5mefiKZiqHV+uQWyUP0EIV0v5eciPRM1YOfUgnqAmRQ 2U+fKHmebAUF9ISUI8006ZU6J+SrvpoqoM0rpWlQt0Z01JQuNvxGKWpVlJHRiDI/rtjVmRqR KdfwkQ4b1eJFXdmz0TDCugVUOr1ALSWPoY5FfS+4+mf3ak0Z0CFoXOB0fOfsbcnsI43uaz9+ 7jhF61rD4R8QzWpLnU4Jp1ZPllUGI/gFygD6gvWr9xpcyDSGC383G4exewP8uoek5Hyks/Ws 9eVJp+S8KAEqGj7d3c+r0DVdiLO4bVASMmj8dyHNNCGe8XVhgk7S0gEfV4aFvFDp7to7QEvM POQiUfFcjMRaXKes9rr4bIlPt61OMuCVc+G/QjrQG8P/ZXv6Y0kqa7vsi7sjtXW5u03VdKEP uN9xLK4+pEM4tOXnbflqHiDQetf372en/3Mz/x+HGf/rzcqJob/v/gkE1F1uPaUIMAX9LC53 WwAC1ADmIN8G9EcDfIKqQPqxP/9P+8L6f98HHrzHLBbS1R6zSCB/6HqPWfCnZFDwV3vM7iH+ hT1m4X/sMXvn5h6zoAMQ9OpQEEif7X9b1/m3nSfKCuAfAlhNIAABgORy8K6r4HDQZTj48sqr fSnCLsNXu1NcQKADMAAQUODda7/vToH+y91ob+46KwBTCjGE/Q4evP408Y31py9ADg3AbAEA kF3yGPLyHVA+O91Yixr2etdVEtBRzMDZAChvZ2xibWFrhiQtribBxQ1kAio5Gpi5mICXqQYv JU36G3tQr320a2YBb2xsf7VINem/LFLtfWPLDqgb7HP9F/YtRgz8KfsA/4Z9UDfYh3tjcw8X gCGIgT+YyH69ecfi5eYdM/9s3vHPstf/5bLX6vfMxJxBtewxxr/ZvEND3m6FC7sBb80P6M5U fq7RqRDUhUQjNAP5tjVsrkJYWa3vKTlMnOP26TFJnMoy9F3senOvMrTh+COpgdQ7otO1J45F ODzwmznDPCQ+hCrknHdyxwZ5zoz23F1Ew/fknsgRMDl6Yj7yTbk4HdWJrw3RL3fVjB99dijP hc/dhHXbKV2OgvMtvZHVBwerdLhoHAXzQX6uwnF9fmIFuNvxTwfKEgSKUhNRMC48NTTJe9N8 88QqCB+UzLbKvoImGBV+EldOAGREWahHhTuh4ZbpPRdx2AGi2/hWFRhic+GLod8lReE2GDWV PH0BQTiJm+ofArnKlh//ZXvVlZdoQdfNaRSacVc9PrKqbEtj+lgyc2BHw7QwQn9z+OO0Oa9Y mwJw84MpogwUbFJ4Ng0xwmi3vTsWJje7RMWmQxcqDjVt2VhQcffpl/mEfNb6NzhMUsVnvjKZ dDG++Cci4cc69Wnzj6ix/L98MXW8S7Ty9nkM9o5Egycrfb4ofJAJoYxW5bzaCFbuJIofpklv YJLSNHp6SQm0QJ/SwKszhMJvLSLk2Y0jzamP/OHpgbcrepVU4Z8bZqCWSZG7IHi1S8rdzWb8 xESVW8BVpNHsvAXz1rsHz/rFzrZAWJKaxIl4WvsbjKOQXuc7UXR8eem3vt17ycOFLy5CEQ6R aHUU4eWor8HFPq3q8dyBpTCmVmmWYVNjhclI+ZvAZH2lbTPlbt1wlo+Sq1PUKu728fvb3mJ0 wxY4K/azrTJ5tBY5H+sl1WVxKgUeZrn18WKsb0wcRazQhTzHkf1oBH/wXB33FvaCB7qpaYo4 zYENk9Vevpw8QJSHqWPcMHAF1TrGgEQmgjtZZSbN0hpDQZTh0D+vn1ciYSsYhR35nCJtiXgd k4j0I9w2O5Veu92X1/oKtAQDKjlWFeVv1diYc/dp0RR1tskS9DU4X+it+2ulSr5QK6S+6yDR zc4fFRRacd9/or1WME9CFEHHzWzSjGQznuLOzgTGPaqaHTrrJ3Wb8kRcG8u0pRVcZyqbDO/r R0N98NEZUewPDfzrB6rWJAveDHYnoZdHp5/XzYV8ElY5iiwa6o71cljtePxKop6b/eSQOGWr Zq71id1z70iWT1uoZb0nu7tNxtN+Z01bcx6+0VyNR7vLvb2HUxfrXtY7bz8PIDvUnUdTffEL OH9yR2Syr/mXiwrbZfk7TPzRVh3yim1geUzqFM7qcY1yvrjavbXXATJCCsUzjkuv21PRwiYf 2zz9umDkQNs5HDW/xjSZvT0W7mP+DChHQ0CbNJKibhl0uNI7B6kWRhnCSxNl/wGwOb4/Hue4 Aju9t45ulQjEdBQxN9xyKhadLs1ldbgru0H/kakD26c4Ov9Wi02+mSbXZJKWNBrKfoNFzanA qUaQfLIgWX/WlI2Z6RCauEkzoqd4QyNBOqmwOOnKxVGg26ijF92FUrBwDdy9xmeCPlYH2ORe QatJcvFUa+Msf7tNyn7uIP/aGu0/F94P1/fnm3UM/m6zjlgEfSgg1iLKr8AS+g2wBHUNlnpu gCWYa7BkCQZLjsxAeQsjcwMTa6CwtYm7ga2xiSOKmIm9gaOzDYiJQDtToLTt1UqKFna2QFUP J2cTGyeU+xaOzk6g20ydnVxsLS5XcXRedQbetzCxRbExuCIk5ObC5AaKYDYwYjZw/r5BiNX1 awAAWtdhWAD+77ZIs/od3gIA8tDA3mfQfwxiCPIzFDrM/8VK9bH+/RTglfHhb+wiC4buhVD/ GXRHhLqC7pAgf/EmdEe+gu4bkH8BuiP/gO5fATegO/IfQXeAB+P/EXQvBgAh9HF8oH5VG1F+ Ad1Zb9RGwHVtBFdvYTMTW2OD7/UA7l9w9+sbYgvU9btjgd497l/ePcOd8S/jbvCmehC/RN+M v3FAFGAHsL3c4Rd8/Pcb6rHf4M5nKDB3sNB+xR2sX7TVoRvcgbjmjjnoeM/JBChq4GTihKLk aGdobWIDVHU2ALVGUDNFETEwsnIzcDQGitrZ2IOaqqGFtYWzB4qqkZ29CYqonaMJiqqJkR2I uY4eKAp2tkwWtkxOl2kSLrZG4JZtYA26FdSODcwuZSTwZoI8v5UO8W85wf4tjudG2u9TrkrP 4nel9/90i6UHtViAPS/szRYLed1ilf7DFlsKedViCyDBvc2NFot+1WJj/0qLRf/RYg9vtlj0 P2qxizJ/1xbL8YsWi/BbiwVKS38vdsR/abSaNxst+h82Wtn/7zZap180WhBTAComDi4WjpeN 1AkIGkAVnc1BgyWKsL29o52BkTm4KRuZODmhSIMwi5nj5SCLomhvYguUvhxnVUxMTRxNbEGX fGewzP95u8rwFub5VbsaRP3P2hUL6lW7ornc//RGu8K+aldoqH+hXWH/m3aF/YcjofT/19rV b339v29XU8g32hX2H7arE4b/19sVWEHlgQhWUDkh/qOg+kdB9d8pqI4V78WiggZ5QtZ/o6DS krUl4kGfQ2N1A9aQcB+LRVi3bAvhLhoDDIAaz12EyqbVJa3Lhctxul++M7BllUyN76Oof5CU KB4whYAZqtt1ih1579WRVGHB3uSsSFw0K9ckfWYjno5M0DJv/7iNyEVTLS9Pbjtvngp1FSbC HIKsnt7p+awHz2uqFn2TThOR+wOJKwqdu4m0yT6ZsplDTyxUWUMLa7cTJDQyiZ2SC2Kf+Vaf FKqWag8jFaikivPcaWq/mOlD6R4NasoRK4NUVahyxJf+EOdQNsKOE/LVIv9xCRy7Bseotw1R /NST5ATCAwhfgdIQ2rO3bzKfp2dgbVnIq5b2KWqV6C9wZQaeTy9ujRf4cVkbW0Eg17l1thbr v5jV3XB2cxh4K3saGnnbWc+OxvDDYg6XW0KXYKL8mqYdq9CRdgFySLYA/YdSs28Znd0vkhC2 yQHWRegvpN87J/HFQezAmGEOxUi0MVdKVdF+q5Ji+JT9RAkarZ80Y4LklahWtT0fHekm4ddy h/rXTYQZGdDceH19pcnojDsIlpPzZuR3WtziXmJbMWTSFEPHV39WUomL2AphwnNDKSWVux+D YZ3H3D/DEgeYoEQ28EfzLHtzbzT6FkOebVn7h8Tl5By8UlRzzz3r7o/vHqMEzjwPrez4qrSs YtxZHvpZtLOxndKpuKiial6davXpvMntxA+mREq66pH1Pl8QHWhs70cg88uuta8isybUrrxk UF91/GiQE/QquQxyHnpcAzCOzZTJk3nhczr5ConL1ZqnghkbYtVFH0JdVp+HKFDySMh54t5j vGMf3U5ofSpOHJp4ImtewDkVf64xAa/VY/pMxJPYhXi5ppBEGRaR8LgqVl84JFFuqGCilrjQ L77BHCkL4dWZdcbqXe92zJOF12uHeZHec95BfZ41jmtLDxM48pRCxeNlYlNPbpDRZ9Dran14 YYc8dUKiBFgi9K0uvoMJfaIkY5yyWAJT8PQFNXzi/dGENhnesE6yYN7HJRL3S7NRWzZQbWN4 a2zcEStFtZm76j8M4nU1hUS4ISDBp6Pvt+xCPU8Oo0B3gLcnw8QQm8Eq8+NtLxGVplxeCTsa xMIs8yMMr1nAT08O80LEvDh8JIYrkL/CWv75IzcqBZJDBxpe8kd3umjGUx4Nd3sKGwQCxQ6z Iyq23S+SHynW8Fiymt+JqxU4DyCL1n3gSEk5Cv5MO7gb1td3d22BcXOE+g6ZqU6s8bSZjlZ4 souH9gRVnqDf1/jibl/SVYEV4cNeEme9IwBGTG0+3wcBH//PclHvIt8hvbLZPfrC4riT6sAS xwz+nXIv8TXVkPFXkWGvIBz5+J3vCl52CFv3Wh7NsKKf4fRORoQova4nGpfyD/JcRGfyksTq hMDrfG1thpR2jHbW5ivdqaD/YMzKbjV2imNw5YsXh8M4U6LXXdMKFiW1uQ/eJCVRqJRpReb+ SBIfFQKy2nveHDKY5/KyHVvIICwE7pGz8uaJRlFpxaUM6wn6HkwAxmdCoQvE91R4iU2VpkY6 fE7ur3dlWplYNXXjR9MO8UlYsT1tVlkejFJ4/ta8JK4i1DnKMhumLjAerk8lVZ5Q2RFdgeOp 4jIm6gFiJX/x5NuqjFVNb/lRxAYlFSPoICtVXqOnnCW5SO4qlcdcjIkAZN48NovclQepiWqF gvJ2XyS6eQmzZ/cazWHY5eaF2AgfeaxCKZ7jyXBGLy6JKFVPBMLrIHNE4UC/uBhaEX0pSf91 C7HGAX6N5N0Cdw3ZgdvdPQOJ121YFYh0dxIoLLH2qlen6LeR9J3JApjKGZ/Bn0oaBUvoYXkg c7vUF7l+1tnQeclufOY0ETAWTqeWUrk4ESWgQDOI1kU1oIv5YgNFs5vucR0uYaQ5p4enexS8 Ep8xIRJq73ucQpSeizTFfGV5PHsUX5ii/VaSkWPYSJfnSUJ4ckUkxlb2FM4xuUEpic8+1EgL rFWX8VsYe3SLsigJPBp883hkJyzY3LbMvYth7MH5o+Q7XRQyUQ6BOyu6Ilk2n+dPmC3dd+q3 D2Yezm43wq3sAA/Gcw0+3XVvPom48Dk8y95mfxC00jpG04DEdN5j9mvVadT8uu34v1edysX0 27aCdzlOdIezeuzJoFAgRNuRgfvCRqEYkv8Npp3vjDvJdEhQdedG5jL30+E7xxOzw87LIgPV STg5FdDQDhYuvVUBK0tnFjCtcMbRz0xU7KnQZvtXDaJTXkPhOU+HaonBnyDjcN76mpLQZN2V kT79nNs10QVWNKokaWYJfSkvfo9SUyaQqTMU1mvmttr5p0GJlgGWBVTPRD+//n0gnoeJr+Op 0oYDb1OTPzxnSL2DJ5f4sd55pmPxIoHYvsfdWnW8NSgemGGmpxKysalEfzvN6c8j91/TnP5c dj+cKfyfak7NEQD/g2DnAPGvgt0KWHNq4mRhZmthawY0sDUGStvYW18KeaAIFPGrIPB6Qxwn IK24vKoTHYqCibObnaPVjXiFy3iQvHcl+TkBVV3s7e0cnb/rWYG0iqrgK0TlpJ1QfqWrQQEV mamFmcu15ChsbeAIkhpFXRxBQqMzk7mFk7Odo4UR6AbQIy61uCBREiRruoJS7Rw9UISNjOxc LjMNtLnM1KUySdXEyMXRwtkDrAjSBu8C9JvKVgmgccWGyzD2jXidG/FE1yIbweXV4BDu1bXQ oKKGJri8FgAPCsPj/qYuWv0/F2vRoy70fiXWcmH+Z2JtEsaVWPsIPBdwU6zFvxJrXTH+gliL /0Osvbgp1uL/oVh7wfA3FWv5fiHWYoDX+fhZcfm9+DH/Rby9g35DvMX/I/EWePz3EG8HL8Xb 7n/E23/E2/9SvI1Pq0kzBo1dT6j/3fcX/baz3OhNLKU7Qp/r7M9U6xWCaIONgHMwUa1ho07C qmpF4O8vdmd49kmOYX0qfeLOpKTDlw/QKdcHhQWUTglQzZpSlpB9DlzTZcux3ppqdTgfWQqF K2nTpNSFr4du9s4jUE2wJbK+SAxbF9Y4PjgdFByI6MKFTk2Mjki2TWPI8l3Yje5K8clFyixN soznCM2sXce7FG65aZ+cDet/zkuvkBt2KlWpv1fG2dS5sJMUYiwtp6eapfGI4qMWzxalbHfN lHkKvKhEpZ7qfSKCHE3zpqoqqS02cqqQM6S7ZFKiCb5mGUNDZENou5xZdFIf0Ji4Yu3IRr+s OXsfm/LyPhurxIHgmntplKkeO7bN4uzILWg0TKhXoCF86MxjwAFHVVWbK3aebS2nGLrC1vex VZ8/5REr63bifiAOzUett84AqFKpFpWKkXVOJ0qYeYYByox0BRoo+8eW9z4zPE5494Alj5U0 765QNC9I2LR9j6rCf//2ZxPllQeKsLSsEAM8HEjcWFHvb7es9WzKrTKvKbAnvqk2nLGiTW54 GBIXJ5Yzad1YV/xwX7/OMkYfycXg9bw0pEZFaTCEwOfgwJeeBA+45ObedCTlLnMb44NF2y/W LU/ePSaBms0MrWyplHe4NWI0w3W66KDIJqsjumndUW2AUOfpojOQWzsPlzD5fuOgxAuhHsuN ViyCO3K9zxiZFTtlJVU2yWx3ESTa2oFE2xnoCXt/x0cprCSjFwJ++74t5J0TSJsieEK6wbT+ 1UG0ZhjL8ChFFUx7jJPp5T3UAIa88LX+Eod1wNHkUEKci0aRVE8y/TvRcwX2aVwV+kbEuzKv W4+IGK2XkG9pY+Hybx2SDhi7Mpyjtt2uEDE9l2hDkGGJnrBYo0lxGMKu4HJzosNPVmcjT3yi td4rJ0MLa1NI8NIk6ajbv7EZAga9ZNHtZIP8YdmsGrk8jBuK0HuRcQnau6l1ZPwvTGKaHcfj S0RAki1MSyGMbQxuTfEKtjlcfVp8zFEwbPrBq9sxMIKIzXn3fYZDHtmFdQJIQ3EbGl3OEJq5 HWs5dLYEBFwXKJ76Cr1ZNt2CPMiFfE2Sk3nB91bnCZuf5lvswkODcZO+tVDTvpO0aYVIQQrM /AIdmgJJ0omS8xAby8nhbuhgXiqd7eOGmf1eJ6tJdcpHCnUz+5+YvgRUWd0LmRBfu5MyfD9X J2KLNLEzpkdd3zWmJ5tmOZKfvnlPv6E3WUBjs9TGr01tdGwTRROnU5CinuvihL+vRCrPbboq k7unBNTOwaIruPGyIvviCE/ecorL27QcgxiB7EDlwZd3Y8bXVKjsigN268yMzhvYlUrOxkfF beUwuRIoOYdqQVBG5FjsfURiekWK5CmQ0v/WSKboCUxHYpuKzoyOME3CmNa34HcFASKbt6kw G5Se4d+rzuASselRZyP7+hEvVraKnRF9oDTOwxHN3JUdNdB0L3Kr9i3VK70NhfSCrOjst1kH jSVu3bZ2mPu863WNcQeuMW4B3nMlpGirt+tETgOXbrPqDgXjAOnYWiu2b3OKCGB/NZZAmA1w IW4MzwuMZlgVcxX2uzjC8fZ/1+a57k3JoLuQwOVhKkOUY0HPNF0Vbf71DsYKPZsGzHvLry7i 4W1v0jPyE4qyWV9UwtzTcsD2YnA9SpB5RS7e/ehBXyulbusbYmyUyEkGG6LY5cd+4bO3uZmD RZDc4XJlX7qQrMtoxDwnn7x9LuMolL3CbLc0nNiEq0Jtl4NInJ9bAMlhO5V0h5girXXnMJ45 f7DSXcfpwwmgSnacKhMF1Huoj8R7e5uPSR1j66CyQBPH+dfiQX6oO5nF9hCkcbNYlKlzwItA lYUz60MeoK4x7Gp63PNeaaj4kHqQHS8N6lCZqERJPTTW892MvLrm0aPg+S5krM90VkIF+Jxy 3BZvmJE8uVKfpxtqOLhhrTDsiM6pkqt14EyMmh9/+8poLtSONUGqPsBUBAd/TgHtl6fljgOv IIiGzn9K1UQO7YU9j3EaPMzmKfWWSSGoAYZLET311uBgWXgUFJdXNETqRe1dde/KGpIZo3PY 7S8IjFhCUNwLOfcPzIk+4+uyhE7e223Suy9KhqyP7KQYdHt4iiLGOR8nSde7gZ411PX4k0Kq 9j0qjTeiawsDqaKi8guQurWZpIHz6bQc8SdnuSWksQafVzpPfz0i4URlfR7/o++NLpc8BVvJ BN5OnFLOF35RWGl7L8K/qOD4yN+C30OI/5H1aI5fTAdk0v3DDe1n46acz2ri9opNYCosIANq Kuvea7V8+3pcA1iCKn87wE5X8zi0//jcNrj2NRTZmidyVRj6AQ+9uciaE53PdKywYNVdhy36 TeQQfB2mqrZbrfI0o5Qpsr8Jzb4kzdEBz9IF079mTfnleMZqKqcMQi4keCZHzVKFCRkdkTkd xNlWNO/i3TOHUQQWHs52VB37C8Sqos9lWVRC155D/N2E5p/xwF8Tmn8uux+u4c+F5qb/SWj2 hP5ZaM5AMwUligNcL0GzBwg2g+Gz6/X38Yygc3GAPED1MqTwW0j4EnI7AmxAYRtQyBb0N7uk AE61AJ27XsNzu2uqv78KeA3fjQFOl2E70NEclOp6KeGAZR1wPApAGiT5qIJCioD7oKcDAWKg J6uB/kBQThRBZ+IAOdBVSqD77QEu13kCXgoD4Nw7XVIBf9vvfCkaGIPOTEG+EehaJ9B9xEC3 y+fdzBsQ4Hb5fHNQSPXyjZUu30kU9CTp65AiQAUgcpkLMGWjy1hiIBBADQTnGXwPEETf7vrJ Fpe+02WcCehqu8v3Nrjmix0oL+C3tbjkO/jcFHQ0ukx3BMVeccvw8k6Dy3z/uMoclG52mVMw VadLYegqxR50F5gnV3ebXItLjpfxFtc0wPlEAUhccs0ZdMV3fl1RUAWlSgNYLo8il9xSu86x ISgXFpdiFriczS75DeYhmP/gt2X6XQ36Xn9YrmsPuAQcL3lzVc5grqGAnmByXf4WlzUGXAom oJ8ViKbH5Ru4X+b9Ko8mlyUJfjrwd/m74vR3us4gelbXnL+qYTaXdcAERPMqz+B3dvtFjTcA xRj/5ltcvpXdZQ0B3+l4ScEEdHbFRyfQm9uDfuB8O18+3ek6x9/roMVlvUYBgPU2haCj3A39 zFXHBYEPFmwhQOfEN9IYbuhurG/EM9+Id74RL/ebfgfr8gowRYIritcaHobfwrhXFC+1PQSX FL9rfpxvxIPVABKXepubaoCl384QQB0J+e/SlH+XBvF/qj1isOqEUBLLJfqV9sgJ+T/THo1e W/b0gnzgTe0R8ZX2qALpL2iPiH9ojyBvWvYQ/5H2SGi34G+qPRL4hfYI+1faoxvfHeH8iwLJ AfGGAon4jxRIb/b+HgqkoUsDnp5/DHj+USD9lwqkiNVXGiaguleN+G8USOr9tlhs6E0UX1CT XtFSykPlvrQt5FSBoCvMyrtL0blpI9dw0HMQkkPzPFhyRfrIeoc6ExLhITregX7MXcHn3z5I ejnUFmNPX1rw3PXgyRAzt0V8Qebo6ec25wW24MEDW/DUYT3SfZQuWF/AcR+L1urJOI+Oh57Z WdMKgzLb4ciYSOB9wgdsMdk+a5Pq3Jl399wLVM6W9D/X6bG9WMfP+2qqPGiTcdRvahvO6Ogp E26K8zyNcDtT+kOEQxl7IXoSskVzokIE8nwfsl79BNUBAzNOko9I2oKHaKWHFcaQtHsG2dm6 9uhnRn6tV4sLXPnZS9/WTvenP5/eY0iFznCG77xVtPZiQTfF8E6T/jQmn4jc0FlTeleKZOxb AZWseasno3vxw/Dre19YPV242ltInZIWHBqeEiaOQmC+YY+Wkye0k1kPH4l8uhCRtXTrvr+h P0vIFA8ZZ8IeUrPqsiIUBC/jJv169VKYhL9lxxZybuDYm/f2dSgYmFXhjzFfIKmpKHg9g1ZF C1NSVgnbfcSEF8MUBcGb7gydus5Qj0olLJOwTFnI6g9TT2s2V55ZbngMAXPbjrOTggZjOszU fnDce+DuNGtydKxrMqmsdvjuC0ZeEzRBa2JK6twd40ZZV774WKvaXtPCrTmurAZr3BivXcJM 9OaX4uElPevtMrD4luvfNp7eU9mGjEr4jFOhAHxqTggzJOeA9crpeH/viRIe4541j5NAHGCX a8KbzAIFpa28Esi3mReX+I1WVQGgrhD8aY6F1RBwSkeea0yQIp3T/eLtGAJWV8/thjFTDDqZ idaQkSj6tEyDBy1PJc+UBuW6Jb8wkz7pQ6BqO21FmukrZjPJQbK4S95R/PJUDQE2+wVFAmqJ lRNTooh+GPUcd7YxBjPFgcE8AjBt8XCWkyt2y4hOOSngBDXDNG+WkrNFTrZThrenM1LmMEFx DfEg6JaGof1hUIvObD7XrZ3OIG8pvXf1baF3MV6kp0lhQlVXiSxPEkY9WHzIbU3CMQ+tfsTb qM6ZYjPZ+JCSoGNUp4Gbmm8/P+pTSqBtQ8vIdktgY647wjRUxe1kLhGR8mEtDeXazCjRwosv YeUXkmOvYgqIkKMF02SD1+Q/nQ/mbr3qz50qyoQZtecuElwTOFVxuVAE6tw9h/1Vk6xhRtj7 Qwm6xfZyBYXEI7DFDg5cIaSMplLkGBcNfQZZafSd8NmpR9airQuTy0Okkhye2dXzqHk4eAfC fJGsqabAqSQFiwcU3s91d+4DRShfFrgkYZQQ69cTzBXT3S+phmsiNmLCbA9JQ3+KX6/do8Rl TSun08nlkrgXYhjRlNSjmr6Yl7jH+EBKdCYvNIR3/rb2OfEgrAEeLgtNFb3AgdN4b2cW+wJM 4y2Ft217WGFdoqdkg0lVzE/83qPcow2CQx8/2e+1cslAn6agrDZ+yihs6/u3k6B/7hD/mgT9 c9n9cI1/brDTDPu/SNAVv5h2VgQFyIWtnc3tXMzMgU52NiZAezsnC2cLVxOgE3ju+RITuRk4 AU3c7R1NnJxMjIGmdo5AYxNTi6uZaqCVha0x2KaH3MnF3sQRqCovTQ60MXE2sDawNXMxMDMB OtsBDSyMgRa2QGdzk+s7Ly1/QDcZAM1MbE0cDayBwkrSjECLq2fZ2jkDjaxNDByBbuYm4K+b L+80upqCBho52tmD73W6mtgG58Le0c7ZzsjO2globmAMSjA1tTCyAF/rZGJjAHoLI6CRnY0N eJrbwtkDnCFDE6AL+F0uM2XhBHqqBzNQDfQQGwNnZ9DzHEH3Wdg6Ae3A302DX9jC1tXEydnC 7HJSnJkcRd3C1sgEKGriaApUkRAFsrGx8gBp2Xi4eei+24PfhvhhlUR0Q1SCBJ0rQfywbCC+ vvaH6EH0fyp6MIItk5zZhX4lemCi/Weih+P199iWIJ/1pugBvBI9VP7K99jAH6IH9E3RA/iH iwp8+btOXAv9QvQAf6Twa/ua78IH3r8IH6goN4QP4B8JHwBX+r+F8KF6OXst/8/s9T/Cx38p fMRF1oqsgzqDNdJ/I3zcbwHPXjfiTfkB3XVqXLXzpS9nr+thooIx8j8G5BUkW0VgS/VYfRzz WyPbyt+XPZaSKYlXHc6RQNIQwo7jEB1oSOksY16woRefaOW1cFZQ1EWjxXiaKrJxkuZbU7/+ THWZfxRGVSIyzTY4e6fk3N1F06yEmnWC+aVT3demgWOfzidZhp+qXgSHFHG+NiRV9Vp4VWwv 4vXBQSn3uK1l0abZUGWUwTp3cs/TtC3souK5JnlkWlOmWAWipELUQSklR0eNBuE9eNmQygVL GlFYu7yQV9qbmCekTxB7z0XTYhpuzZyagGQQ7u8yCLEWy9ICNUgG6Vhb3p7+vFw5Lo/Ieoz7 SFRjWLW5lqvjYCPOBOlUMgyhjuwQi2cPfmQKTmbMa9vR04Gd8JaPgIJEvpmo3FaT8Rep5fH2 gjTUWECShbHlO3dVGcWE55On6tgoaLWQ2FD8bO0D3/Qz09JPijEHUaDXSote5pCFUNhCqjGY 5tOS5MAyh07bhMUWuEQlSOlkxDnObHIm10kGRcSJJLhZs/mZGyAPfTOmmFLTm71Hi6CShd05 HATBuBXpOFGMTy2bt6OsVCHhROyI+TjaHPZQu9/sXfztttcYI6ijPtFWygLjMKqun41i7AhX Rtzq5nN96pkyJ2Xw+sWm6+XFPIb7yFzbiIJETl/jUmkkjpYlIrOOjey9R3mZMwOLT7cka/pM iNPBCluIo0VGe2D9ieJFaJ1+ilnkiz0HeKCdUf/h4wkh/KRcvPIKS3rNFD+THoQ3PRa3PFf4 tNkA5yggKQQjWDoXJIUUY9kCGe5/Vkn1IFYux+RKMOVcQg6ywbEi3Ra9y0FF1r7gUAdeG+AT S1pGfx+h6luHW8WSORouiem0LaUWhkEjLS42tjkq8MjDOThmCYythu0C79wg4WmOzqh1iKQO mpJoZVt84JQ4xm0wn5bK8z1KrHwSI8gwpyqQyTCF9VBf+s0cFoQbk6KNyLze4xh3KXuyjoA7 jhiYWGl+BiPPHjrnA3bZ1oWekqyHfMw3E16Rqvv4+NMeUpytuy/l3CdMb+URmHmY3e3nYuIi XZKnwWZ6S+jI20/njUICYvlCXAklQwRiMjtfH/FVirNy2LMqYwSK2n+eokLbH/06ReXng5oH W7sAT0HQtoluvDUzV3YrZKdO75hPeW0+9NsXPrYTi4Xw8Iilzo0SGtdASl7oW369n45wLiej 1WXBa5c1IrbYLNErRGWxkUMpALKRWIK4deAoIso1VUUDclRmX85n3lkb9oxDlaZDCCiKsI4I 8V9fOuVspkH8MB9hNc1cgnkv/A2p0JPT0yhcFtz7HUjRJkQSc4sVnzgahbUO78zMkXQRf3Bp 5rkbxxD4MDg7kQleczdXNYOngj5sDpE3N4aqOdmB2nWxAZlKsSQ7hmiZ0rXb7+KIACrQw99z W5ScaHpenTnUigEv1+Ml8ezhs42+OziNbCg1TLXt3ZMoZudi4b55/JrPgjRzWXgIEyhRFbbp ZDhTxRxeP0GVFchdVorSJ8Mpljow14bTerb6xLmoRbY4lj+W92kPwSh1nTKzUl77vk7NMGbX OkGMsFUU39PEEV6zeJ5583ExU2yvsvhnOYgfd0PbnK3HnJimX6sElQmdEYZSfx3uF7KCR0zf XxENxSJxdKFqQJfqglzSgw8ie77j+L4tYG5hoVNPl/GxIpHDisYw8bCCTdbc2wZGPmfCM2KZ JqSWgUhyE8Tz7DJM6Ym3x7C8dTbD3Ecl9rPrAXVfXqwJGRQCXdJdFiccYgdYjLLXnFMjisnM S8MzSx9Ltd0muC1k9wKKM4xTwk3JzpyROb9Ck9P11qyUxkrVrOoej5VF2JNu6GP9ZTllHDi2 lC3zdtryQklhtBRUnzmNx55mHRRv8zCMKNw5BSxOrdxPE+FWdr5MdXXvMq98IX+4SRKzfnaU 5E45Fh2b44d7P8DsrQm/OP3ePMZTveILPBEqLhzujMivVXx7JNnfvD5E7/TlZ8XgGRh8XLK3 eUrBxujznOn8l8PCm2/Tb8b+UABWuFqy4gzOisEhWyGyoLDSVpwBgufhzC6EbIO09rJLqXz8 6V1cOO5Hpl8l7CqIrBlKVgMdivQFeoXQnygQleA0pKd/UgeKiE1M8VLDUMBM2dDcIeqr2vwm NalaJB5g36UsjGX0RJagJ4QxJGUzTPU+jx1b3prVi7sHCLYParvKcyvNue9yTg1nZu7ufbXB IW519Jt4ubztkun1TUntQGWxQqV6dMkBhXwE/aIz7BlB83mPnlomzrvAAt23aHZfMUQpXwFr qUaNERxPoP5u8u/PY/Jfk39/LrofTvjPZ5BF/qcZ5P5fyL/r4Ae7W9jZ8P6wdze6iceBbhbO 5kB5aREnoKqUsJwcWHIEC8Imjq4mxigiLhbWxmABFCTNgq4BGho4mQBR5A1sgSCB2tEJLF6a uFs4XcqolzSYmZlRQIDf9nJ5iysRGBSv6gSWSYFi8leLjF2a7toBbQ1sTJzsDYxMGIGmjiYm YDHUBuhq4GgBkmhRVEzAJEyAFjZgGdgJTOi320GPBd1++TywJG1qYuBkYWhtggKWTJN+kyuu JFPO3ybktAC4N+LJbsRT3IgnvxF/+0b8Nc1LemCHC7gWS6DJfgtRXC8ZB4An/y10+7cQWPKh v9xP+abkI/67Sbnb/+eS8ZsGLtlfScZ8uP+ZZJyKcyUZx4N8oZuSMeWVZOyF8xckY8ofkrEh /A3JmPIPP+mmIEH4f1YyBst6bJcTTQz/TDT9I+v9l7KewKS2ZgeoFn+E+bWsl6OmbDfDiu6b Xnmh/81lAzLsNYVlgXmubbxSMKLXc+LOh9idj7YCIZp905/l5Po8reOn/Pju457PwrOdDwdK Vq/vD9yfMPY+cnmTwj6Cm6hpdjq5sbRMZPY8iC7otYTJaQF/8zPfc+fRnCaDKWvvGWNv0bEc 6eX3EuOtflXR7J8TJ8YDSp03cxx6GEQD7JWK44f17RPHsti9I5RMm61xmTV2HZrti+jZBZb7 wgglS+hHIlA8Rr49KHjzzYmhuklW5FQWMxjL781W/7e+qR1U7GUI6b4MxbfAJ/bmFQbO1rGI wWrcI3zG3vxPo2juT2Z3m3QhEz1w5jwGkBYZzjjXVHQ4eFKMEOuxWieeuI/QEjwsc6EZ+Kq4 wiFA8KizgLSj42jXMyiY73DVjj9np3iAW6hVqr27hjLUMGwsw7KCZLqcXF1LVJaOs0YR1p18 /LkYwEpRljdL4EIanj680q4ArRczUGhOq8ZjFXaFjtBzIa5Y7iGztcfmbS2BUtNg+vvkes95 cQIdx5YTk1P5qlG2MTqSO+Qhd4XcOCvW302VY5hGf9DaimqHaCvI5eqVCCnypsCLm9IFbrHS Tst6PKpRfe9ljdZ2fn+nKIdUsinaI2Sz4dsn3frxW4ipO0n5eHsQt300+ZfVJeHDvT/RPVVa oTuwCYgLIgKOHMCYVNfXFW47jUcgviVgGeuwDqaD2B96iE4eM4Bb3lvTgmEQVmMZycXuSsA0 8Lon+HGg9JsU7JqHJKWPHfzMRTNfxh9jPKn9LHPfABrCdqtV84FEfQExSfZ7q7pJGeBaBpZg ju2WaO7tsIfRXMp3Xr4kP42KZC3HzrF0yRHlg1Mqc0qgl6V6gWd+584z/3r0vAojvnZhZcRw /uaxQbynrdEYLzB3iGUqUdcXeHJ2PiVbJebTnZwdi6VW+dUpLga7viESR8SJbCsg48aXbEo5 h/lVlW9gUuT7w6XXZGWh2LCDDwMubmm3RE9FdXSycjGRRzDbMITVz3ZvU/LWplCv8583tgQz o338TNLUYelcvEYntqnZMl4EENb2sqlV/tzk08Qo3B5UVLYvh0gdUar1/Dlj6Yjv4u391LEw 5CWNTMh4lfvSBFaiqCt9bu21syeLrO/xCV9AoRJ80uJhiXiwPuToyzo1nJ157OXkjGhbkto2 /Enm7jsf+fT3oQ3m6ch0Lr5cAu8CpTjzLsr4rRc8Txn8lF9ptRC3n5vMwLycxMeCgZlmSjWV je0l+9sZEP7c4/w1JPtz4f1wJH8+kwP83UzOX1Upm/xCpQxmr7StsYm9CegAnpswdbSzAQob gZeCAcqbOJvbGYPxH/aVgv3aAa/xBe1vRnPAf9E7T99cFITyD/XOwD9HGv8Xemc2+EssAv8P FvkHi/x3WIT/0K+gA1T31v7tqrWythR30OfgukjgbaFiBCiimVqKHzK+kQZQoEs8r1LeMH1A UtYNK00Xd79W1DY2+z2lx2klpddtDi5Y4Qzdyogics39Qt3wkf1OHaZpdfwHFolf5uuZzUTe 1xWMGb0VXFjQ1XYwJXkRkKNOvuJl8K2zO0ZQ+47RLCujuus7Y+/32hyfnK2bMG9Pu9VhINap pD4lDvlQNopvEOy4aq/ExHdmeyianyfzBeG1yqw4xx3dHr/ZAZSXEVHNH+WUoynMtHiKjJ2k azUsNOHbjhvii1ZEAu648erNrmL6hMsGZwqif+SwSx4RJIIe24NzDhAstkJ8/k00Fed01sR7 iAxFgoz5JNugPBpWwxm5k7xo8cXs3JqhYG3eF8x0eDaRw21fcjNUYcu99pTTe9NRMZ6BECMf W/VZG7aM9BVu95oR0phpmTZEQg9p3FIdjR41ea+B0IDHIy0kuIFWP4eus1l9J2mC6Z1uxORb gL75O9zhOxQYXBAZt1P41FDKIZ+crcWjPeq2gY+7VyiEYXKaVQX8FhbxJA0nqyH//TLdrTVl J4foDD4Xo4kmQkj60dIgf6wDcaqXOW/jcF5Ijo14ZzsSjyBlyFSZO+48t9n1+DSVVGrzajM9 aP1FRzSt3kwAJZzqlkNlclJJlQvXp1lbhPocHVvTkXc7kD29/cvrwHnylr5tIuUAJYL0pxEA UdVabxdZF6pDUomBXRwCBnT5KUKY0hQDajmz03TBiwO2oanh3YE6IGSXYuY7PqmXHxGjV5Cm Ne02Ciea77PRABhWgmuS57PrAUeHYQkVJkoS8fJvcQgf2QnkabXJ5uIJL1szRdndM5BWWLRk t94tnX/C3r0hfYoZIlsuot7ksgSd+1Fik71L3ISYvKOoeE4OsTXvMbKKx2RiU3GOmH4Y9YAG 08tWRdgtn5dYQtytO65lRsDpfPUsRvFPWv5cbvRUBivV0o4FOfHep2ovkdbJ6wJ0aaHFxW31 aB1TLXvEVueC7vLzs160Snp+M0hDGNVVaHOdkIycaSV6sefxtayJTZKlZfiWvd+Asv3Wm+Hz 8c8jD9J4jnkfne+HEG/rPePxXEuxeztMcTZFhzN9X/DhkkO12HHXedKUDV5Ye0x2Bh8hMSU8 3DcxzzJxVmnX+TmnzSNBn8b0B51+Z5t3VXaCgtGHxVrjNZ5PTTtOoQUqK0nSpdCMP172bRXc NkMfARJ0KrvTdLwYbnOzgN+2Of+mA3k/tE0nq4p7gUrX7clR1kmTUkca8pLZm29vd+wGFt6/ 9YNubCxfEQw7QIMLe51yivSrJs/yUJX1D7HYnAwUG3rwDszCrajFZ/1aZQlVFi9gXDBeVO5D vO3fUpyTS5Lbsl2YXwzWJR1Y4vOOHF/jdckCFptBVccjYzus2/RWPYxpG+0nThAzjnxmxm5P /XB8d9fwYe0+1M5aZUyVDHoSMQon20HthArXqhJ1E42CzvvAtmTDgioUbsqaza+cvaYzBr3r mS3PuVAS9U7szPQpKjoDn+HtzL4g+eqjXGv0cPCttl70JpzS47dHgiXGZ57eJyAsFnzbHq7Q k8cvZOKTEjkMVDdTCrXs0N8Qi/3c4/41LPZz4d3AYrB/jsXg/hetYh3Uv9qlyIHixC5tEwwu v/P//u2+0/WX+1dWAFdf9l9ZSFzZBICvsr+2LvkOdq5sGv69XQjYfoAUqHb5hb/Vb3YNV7QN frIQAF6GDG7YhwAB3qDfdxuR72cKAHGA2qW1iAJA4jKP36/6YT9yFaMBoiIHYALFKoFSf1wp cvn2RpcWHlfwzfTS4gN4aYsBtllxAsWAYRvY+uTK7uDKOsHg0mbB9TLscc0Xp8t7bUHHq90v DK55c2VH8d1OheXaygJsl+J4za1/pfqdN8aX6d/pgrnGdEnH/lKxZXPN/+8pYDsbi8uYK/87 n41/K2Wb35Uy8+UP5ZJTRtc2F7b/5vofZQwE3AawXv5+b9ljfHmNIcDy0pbmysLo9+VqdE3f 8PoNr2rDzXp2xSthUIlq/vZE58sdRMBPNgTFuF6H/31N+26d43pt8+N0g8bv82N+aWMCvM7V 1VvYXtu2mF/y4LtljN2lLcpNSj+/6ZX1CT/oyPVbs7aH+N7afmytwXUtzJBepoJDhNepkJcb blwJOPkQ/9cqZP/9qqVfqZApMf4zFXIQ+pUK2RtsKXNThUx7pUI2Rv8LKmTaHyrkk5urgtD+ kQpZP2bgb/px1Z1fSMLg+nK5SjEvELxMMfA3gw7Uf5Ft6dBuyLa0fyTbLt76e8i2jZffVFX/ 803VP7LtfynbqtXA7qiAAFAT079b8LLXdoULew5vTRD9HS6p4HJDFC1Up9AMpLBBe0qVsKxz 0dMs6DjX7aIPZMdwZ5W+0mjS3a/HIAij5qRVlZAekLO88Bp8z/Oh7Q7ZnRSgVYnz094wV0Fn 2iX2gXg1Acmvo6M+mxGYNslyyV1UMWtJVsdfDk52bCMeMsMTyt6lJa9jzcOvnOXV/Ry1jubR QrXxobYnuSXb0xYvwooZhcNdmXqmUeFj1rMytZEHzlST8YZFWzqnvZ5FUk/FvkZhdrM3OCbI BiYZM2r04dVK1ZDfnWEu9hGFtSPddX8h+2TKSlsG+wTFYaLhFvuF8q2MEh/h2W+qtdRLKT4W Zf5+qWEHXpNnm5G98/seFpsoQ+ZkjyQ0BlQranvjt7dRiPo+R6PfddbboXE0RTcu0aXFEJQl Gd60bY75SnA4JNi8tSRMMtFneVsiyhFjGBXzDSxmCmGJnIAiCoajSnsMv2YH133/rMDeYA0e uwfwNtSmDEdlDwEkXAUSI/fblnghCglU0fB5pVC0XyvGcImQTzCrxPVAU9BlFfcEhJuJ0dJK H52G91OzUEXh8q7M2h8Ad8ZGUBHYO5WI66iR9TP1kM001bO7A7rNkAu+yLx1l568tTlU+Wmd nLQzpIigziVWPZlU690Xj1FcuemWGIED3LbaF9bRB2fqOq0lRc+KJUTu2hD3VIyvmrh5xSiF TeN6o6qLOxeowOJHjLVHeiXlGloZ5FDqsubyZDnoGAGKJGgdOjDO9vbIXLVLHxpUwNm8Y/L3 djZqiq7Uai19eCHkmvSSsX9XTzUdyx9HmflBOnUsPsAvRIoupVbGrjyiIGhDA0ZlHVO3x3v5 E62mo0lonhUmB/prTkbDyflHZtQjeOfxXmls/eKW+0h2sd803n97N0fzgj0MO5eXg6KFgHc/ Cn2kjnnvRA0eOsTcO3xA/OmUSGjjOB9q0N1T0xUTqG6ByuU9nhh5mKEN4SRpjWnbHq87cai7 X0SpH7S6O/NYqdl/YDCcKwhz6VZ9//hOtfEG84W4NT4+55GYgnWANToN9QJVlxuq0OYqlIfr 6qbOMz2tSKGmla7DE4TuyfrCx2jriKtOnq6M3ywTvKpwuUYgyoOcidNRVQqXnOvqU3yx5Ldc T8wO7jfcimgUVd7S0dGIBEZ0hi/TmVE2+spjQyEp3qa49TycDzepnVFW5wvEfTfT0fJnz0bG nG/Lmfi/8dKVDHrRx6chOUaLl8duV1fktKuBkH0Rwu27vov0JuPJxUufJxlPdoRYLrjkEZ5+ y3uqSb+UqXVM3mV6b1JpaEZRN9kkRPODbXVdmSgWV59CFRdyoYX4x2ZX/9IFttnIXJ1H9ZtK /L2363DUXhYaTw7d3XKdl/JZiEapkXsrx5ZG4rOeTLtUvBQvSG2JzmLdQyzccHftYsZByWVE SxBVZMK1UzhRfOrbKSxf+knUBVR/q4X1ivXtIcbT90vjfh7wnF6BifOkX9++mta7WlpTrR+8 tKZvYtdkhHx5JL1NpTAk5RhUqPkSDPUjKOaBqfJnOotjZuvZ+9K8rpCyPIfwcPiDgx9Tdvb8 S/zjthvviD/lbcIjqaGxgSblG7ecfZifPZcbHawYXq+QO6h5cHdbiDy1UdiAPtVZf5LKK0Wg 2ZQAKf8w7nGmgNpp4hT8V6pUbXah7VLjCKpo82oluwEqr/78USXrMyUK/WgkL1rNgTj17PRO zLVGau3PmJ2siVsQbmOa4xT5srtTia3RS5l3zdw7fHYhoFPNltpGph8gdti8Fak8rOVcvZ3I 2sT+obh51fPOoi6Qzi5q4kxlevuxbcD/j73zgKfyf/+/vYuErDjJyB4pZGdkZ0TZm469t0S2 KDMlO5JZ9sgqQrKyyYyUmYwi43fuY+ZDH/19v/9fv8fjHI+T47jPue/77T7PXtfrfV3XO2Ga YyytKEEO140tAZlJ4mIBri/KWd6BrLjQcbybeugDd2w9kv2a4XXFYz4zdcdqlr/GknVI6Wy8 EurrkjXJQkSLm4AQhcFwn5trPnpy/ipXymWb8PQToUsRVEEpbvHKyvLY8tUzZXopcrJdqo5x fHLmCdUhd55TqpNJckYaJwy9wH0dIPeN4VaV7jGZc36eAhxxmekdprkkYN4GCY3OpSRcgbju FLWbZAsSdBfeJbI4PFbKRm90QJu5hlNzB24t8l7qWihVj5KFW3yK5sdzQuRaotxlSSQiZbac crcGr1eoC1TgDE4zVfQ5rJ/6Mhv8sDld/GY4mbFdiXBnuEt6t27DWv2jpOSvNV5mMrn23msL hm77Ns3kdbzk/Sf9P0SuyaWoClKB6BP4+LSIr5Lh3DvbK/2+vEZH8AG0/8eCHVs0Ye1SR7ZH NQ+8oJpKn1XGoI2Lm5Tgj9vpL3KkMDJHtEuKylV1k6dqnYmPxxOceMUnhCyN5kqdxEzC9nks nyZIXT+6EicxLcmOU7TwywibuNJ7rfrZ+MoYu2Ph/D4Bcs/n0goSZeaGjZ9dWXp8/RN3DXYS mUHrBKavgEJhYM2ZUrxqtyWft3keNDjtYwuTKqVXyGtpfc1a2FU8Pqwg/G0+y97//f/MZ9n7 t9u5pf579lb6kbK3bu3js0RADlkcGo3bQH0Nk1+6ZFyCRI7S0Ec2kMdANwdLaP8Hi+3ofqMP hT7UkbCCuhWO0HhTHirBjeGYoYLcHNrRwWpXvwQT6Kusob+3hkatJpD9bvxkAtneBvp4q68C M/SogHcEQ19pA9kL83YsbQM9XnOob0ANYt7stWG1HUtb7zmLy9vdG8ygsbk9dC/G0PjZEeoe WUO3E9/s/qEAJwwnBtmfAtTNAXydjS4o1yDvutEjZSPuttp8P6AnyUYHDvNf+lUcNMYbewIc oI1+IBvOyH7v/G9Hc5g97x2brREBXB4daCi14SUobJ//P48DBKcEJwV1QqyhWwhDfSUDyGs2 3hsECZK33Iu9e9zxnG5u9l/ZcX1oodfOxhfgWKTsfEi2i8C2UufENmJY6OOOXc8j7dp+6wMG jXeRgPup7VQ6se1HSJvrrSKgnd9OpUPbfu7CPs+pbD+HtLkQFHDfKES78kshGvL/13Q7RiDd 7q1Z735eSWzr4byS9fcbXsl3yHetTa8EWPONmWHDKxl4/wdeCcOOV7Ky2yth+G0PDFVu9L/T K+Hcxys5vtcr2TZLsP9hlojsXnWH4bftU1W40f+vrrqjuc+qO8B3aPYsGdxu2xFhl/mIAPdr RSf8b5rJABeiUvPGoH7A3LkQgeY0dJDjiMWHfPxxdi5EJMgIwEN2IASHCb1wdwZ7aM+FAhi5 GxcKAIPzcBSzJpD3j0UE9h/3+hIc4B2BMIGTwYG8Czfk6X64jfu3Xd+BOyn8r88xQn4Gll3a 011UozQEsBGHfuc6CW7quQ+V3wiqj6uDPENsBN/i4tChEnaHVhmx5fNQ5xbUgOs9kEUYGCdW 18uSVWaeyr0j7HZMHc2gSxJg6780brxU5ko3nTSIpKc975nHA6q3tXZVNMWGV9Z7VBghJDEk aHwRUabiLeqTldYlTsG3TV0TcAaovOOKyv3gj7RnkigYibKfaWQL2BBU01fNYylMt1zMfhNu XirHJeFfczKnrQP3MmG0e1jSgpSStNqPTGsURRJH6ydmBBIcigGnXe6KmywWfctlG651Q1pT k308pUh9L4mnsOIUMRNJbMMtVdNVGpHH69wlDV0kjQNKyw5xn/adYORcPbMOoD7sXywnV8tH rwkTZZgTm42/kFV0+esSq4qydS8vnr9TyebUK1fe/N3Pze2HVIBKMJX8xecTTrKRp5ci77h/ r5/9ghx2LapU/VyiOwkG6Zsan1WiU6q9we9e+BqFMaB8UqlP6xg2kFK6RBfZa0Ahk58ffIep Q91UgHd+NefTABYhh5TtN5QfI6iyD1TBn/gn8U6HNl/jviLeyi5ify+V13XkfGagDpfWhUHl MqE3ecZN7mUzfautJF0RXMVnez3NR/Jvkabo8zuVfrHaEb27T7/kioUXsOBkIMWGEQuIRX02 c2Fz3Y1CPtV7PZx4tzTB63fCx5LExRDOEKcUvrt7PxLjWO6MzLDAtZogE6H49rXvvHbyl1jC ZCR98tMc/bPGll3Hqq5ncSCLGFPoNSp3WmlyEVAwDIEbCdQnplaST6iI0b2Tl+I6q24s+WSh +Pt3zev6Nn0jHAinkNzRqBOzjRnD6c72RtSF4N0oG6bSfv7AUk4LWeHFc0lBSm0MetnrsiVf OBlLKrhynED3M8yRmR446lTJeGlI9qc/RRgFd35jrBJQ7Xz0MRJ3RNmu1M0B/UoAqg41jyOz 8clZBSkp5DW4/hllH8Jy/MG4tPCeN6lCGT0rz1Ly73Fl1wm3lLw60ZSdk9Ftw8h8swR+xABT 9MJrkAlXDztpcOAlVReEb0Ll3WAvnDkkdiSNZnDeSs9SU0ybHN/16PxigguvMBLDa91A0hJ3 EGQ9z+K3LiNW1Fmdaeddj1Pw0bltyXuRZj78YY88m4xzrId2DtGPW+UtZWVmF1yazC+iBJFf fKXFQmxnJjrdPLHurH9nxafz3WWpC0qBn1SDnzoV3p65r/AEn/v+M7voGNQJU2Y09QKM8X51 qmZcnWk4DpXwK37BZURfbdKusLoca7MQTmIji/zwwKn1BkWFrf8FL4X3n5sYwz5dFqRw78uW FZJguV96UXyB2kHScxapQl0SxBCt4z5TTid29vSVOHkfPcNHEnTHK1T0589H8VGwnXB8Vl9n zRnnmiZvbDWMHNP6RY2J5nOfwwqp2VR2Tn2vuFg4nAdCgF8lNtZ0A8iQ9prV+SobeIcEuPMh grYxrpMqpzu/n74dJdtGesbhFcpw6ZD2m4fjUfQOSYXIYopcaQVDb3FvYyI7FOug+9pLF9JG haNIZEsl+102xtJRj0P7nHL/x9eq23qPMJbTQ9q7m2q0purN+BVoGttLZo3Eql10CQmyDMjt X5NY6HI4Iva1kLp/Ywl+i3WGuCL2LY/vUGc3UdTzxyOffdPnPLtCSdve+bKEPhv0p5HVfyNV 8NlzUns0anJlYbA/55RTp7mCdaN07emr6K4J9qjFRoWP09N8HmKWNtsyKUfEfO453nLVcpw7 QF7kqbozRfqsHQrjmhR1Q8EoXwDZhTZeEdYITwQqab9eR+f0moSSO5Grz1eR1oKDhiYKK1pF k4RHjEMSpL4iUOFJ+vlfaS69dmYJf379fc9K3LGsE5Icxc6hMsXeBK25zZKxP8Gu05SEPoXX 6B3IEiIZZi+NDZNTKuF9cq5aMmPRKL4YNDDV/XPMLu+KG5GQAvl0UGes5OhoklhF4ozb6nmX bLF5WgJk+SfnhloEbqnUf0N0MNb8ps1xy7FrtQ67ZH3DArpuenVYAGeNPurWN1wBWV8xT8zh h5FxV6p+wrfaYTgX9JnancJeWWg0O2H6Om15SCoIO6k3OrqRZ+6dJGsR+ZeP/dWsNtnB0+oC NOV32U+CaPpAb4zWz2hpc9xEYvjUw1QsyKtFnYfoDurzCBKqWZwGiYQKen76QcD4/Fr1uchW k9I1xp6Ccd73aB78ZwJYh0JUMyklCwUUtIfuBkT29d2if1m9NDxwc+wBnYbDRMIpZtMwc0fj dINWM4sePlOOcUGmsaw06zPR32niz9493eslMMP4xef4WwckYrQKCiV684hCszyv5jMBn4sH uGnFGJB5J1EaOrrFoykE05zJcWfPudwvvCunso5W5UlBec4ikkeA89Y4yligQevp1ognX8i1 zzEvkLuxyb1fXD0RqYx//3pE/ehFPxk/HDUZ0fNEwcveqFK1lp+mOJTZ/RmckQyF+1ZJmc/h mVMxsVqWXVI2tuo+xeq0WNx71ZeNZDSiZMgENP/6Q83Zx4GxSgWdI2+MLJ/qkbFhDjXfYJa+ OanF+3Y8a/Z4mWb8p3u1uBny3tZmaGnoJFjmXXLugVFsRtUhtkVP2K7MzYhomL/H8xCspFp2 MFOsD6OmI+QLxqJcY+wuCm3Sl8SWye0Ar66sTFD2sCXyGLqUNpMolGIF0jshUgW25/imBF1M xW/mIyxmVkrkQ1PXvC3zsJo9kdiTQX0hFME39poHLUGHD4c5akOOXdpSkN3X495Y2u7FI++d LqCO/GiQFv/Y+LIRc2ExxlErls7xRfpTZ6kT/K8HxFxH7O4NacdSuIaB9cPV9WKEFfCjUt/K KugmjqQ/J7wpa1mSrGbEj5yLm6PSsFjnPK6J/m5ULD/vvbPBCzd39KyT9b3ao+v3v82eSWJ5 lEVU+/NEw7B3C4vMy/W7gh9q2dOei33FCG1rCZO6GW71XeoLDp1JjH9qYwLGeYxseXyVq8OI 4z0ay/nUIhlK9MlLZepdo5bnVji5W+5LO9qIeH2cejSd03jvpG3GF/qU71j7/dcHirzHUAV5 1HOQ4yVojMCK5zlzeV3IAdn8kekLdeVAeeGWO6h5+LOLXTwckhzME9TjiwMk8YOWkQ/NI2dz 88IL5T9K1mD0L6OjDX/4EoKJzD8Q0I/jiV1LTF/zZPAejxQNczSrQU+fg2Sn+jlhz+dNsu7o 8Y1P5ovOBJTNGA1/jlbTZRXuxpPncAiwUK37TrkURiAZhIli/IjorZv9qbRBlh9iqR8TOBs6 5nK6n9bbDJjJJxVnTXWiCcdd5Hm9PhWuxHK7JtwBcWTk+P4G115h+McG1161tHNj+L3BtVdn 7NzoEfaqjr2v3fuH2rlRo//W3poDOnZg7La36BCHIDpeBQfQ+M+QdgInZIiWR4BsaQ3R8nRQ FQ+8w224iiIUjI1AyB0esjlaOSQQwoOEQ0AItKHugdnfD4iAgu9A3KvDe4cW66chj7wO1uEu 95sgOhzLZ0bspdAIvZECJ8izZ1pgCA0tEPU5bkFgxyU50reLi096C0GDn/n53WLVzBfnnhD4 D/NwWKgrxfkGFgT5oPQXXK0+fU68loCmqa3CHeni1KhIKS8Sbngrw7G7tF7OGdV32RPD+HDG xGc+3qV9YNkM33Ac9T2Hom1a4JjwY//c/tv50yk192if1biaxUpRSCOMD+UWZhNX4FAbsugr lD5fFaRt9GSjucfNVgy6row4n+Vp+41j8LFzXZZfY4hTdWSMZSNxj2hLh5vVk6SV9VojLsmh n/1EdCXn1INKW76ZJt27alK+75SnyjyDKvAb/H9Kb5MmqPRGGfypNaNloxk2LfvGt1U1vvM9 3+0X4VUM+Xf1shemDJ2MaoJCfvCLvx6iyTA421Lb/SpzolJ2kVQnhlGNuaYAm0VF/bjZqBSB 2RMLQk1N7/MZmfn3mV6kgCWUMCUzRk/KrV6uA9d4WUVJMdS1K729W73EzHGy7Psq2WjL7dk6 9qdagjLaqJ+s6E3nyLlFmNN52hutL8ckf15XYP1qz9fagUdzXhFTcL4fr6fYjnSQc7D1/Efm fc8zjP8V4u+tdaAxGCQUW0U1pnshWE0b4IGAohhIlzrt4Mfk4yB2+aOlEQnuWhkB5o3+okRr W4OAxrbhy43XI/BfHj+JU1XUjn8KIz+q6QE6Gvn9Cx0R4pXhPAyfrpYSJffkv0yov4RHcbnr aUocVrx40ryjOMpq88WqF9wqhixVnzGenc4/YWbEJRHCAX4+XCirI0RONVo+kSOnNSEdFVje p8XWcTZnvS67tYyXtt1tuv8pCMF2aPZlEn8J90A9ybgkvS91zejCIF3pZfLaPibAWn+8fkBh 9N6Pwh+TZ+/FsnMj/z159o7+zg0V4UB6IEK+CgCXAHFjU+xfnABPyF0facOY0N1lTCBtGhOA PSWl7ahvBZgThNCF77duKFATAgnwVNbXtxfCR/nXhfABYGXtAhbKAcCKy36GBgMWDFhHAtbt FHuE3wJL0PiVAJB0vf6aDZk5ySxXlqrYn1JM0tyokqxmMrLKwPD1tNFw+cxwJdnAyyFnlwBF c2JLqjHjeow3iUhIltq2DUkeM6ufbFGABfQC9eUtzmKnjQ6C3Z/lnzb/UoyZ5IuzSEuXcvmm Aq2rXLAgfzaj5aRMBxEWa7G8kY+6Z5SoTMiIOnE6F9O1LnkludmSEkLk/G77pfn60nfJTjrH +R1v8dkYJnk3rTodp5AlX4sdYMsp07v3LWi5DSOh7stHO5u8/gTskekHN4kZBZnW4f42YO0d /SMACwDVlnW5BSzwPsDC3FjmTtcKbAE00tvCFtb2nrH2xRbWobCVugtbqAdgC65oB1vNXZ/h 9sdWLxRb7TBswbC1b92uqdbJ3/afEZR8DWDrMgRbHqdekCCL6BRUY+CaXg0cdnwUTX2mu/t5 iXjBmtMDssnZBpKymoIbIq0Bfo/NGekLYw1BvvRpqpn4Lm6lA7x3vsIr65o/xHtc+9qIq0RF K3Mq2J49PJ4A/RXfFWRpNCGmpCxits9jdiCZvspLd86IXJec+ho5mPwAW3mR8lj+YwJi0s8Z 8an0VxLhzDleWDDdelvzhSaovDfz8+JDeY7O2QVk4ThCpiZjq1HOtQeGbT5K96WOV4NnVEqF yGujmevYlT3UDlrB5H+PWnsH/4+ohfYPmQXQCqCXJPI/a2uRdi2fD5VZICVggiwe2r8RY3u/ GNvTtHBr+y+ufxCxancRC+0AYg0WwIgFI9YRicVlLGzyL8SCVrd5rJ+5OyjSk+5BYdxK4Z/e 0ar0xbH44bR3n1QEZV/ympMQtpPLnPfMLKNS3XEdCvK7usgFcwhIlh9zh5Qqv3f2Tp4Q9q0l Rq15MigMr1RfH4Ac0XO6KBl8UjX4DKnEteZqzgh57+SzAdrTosMfpqILCK3nM9rI7hGZoTpe x8N+nzD0snlIjPn0hdVPWviDDZcU+59iO/Kbtg6N5WQtq8e3LSg63UI4QVu9PoauKV26Rt+U Yp8BippMa20kUdf1HWl6YPIIorPc/jpi7R38IxBrKyAEdNYWse7sQywqqM6yA+vqM0uBzfSZ FfStoD/IbjZKBombWdsAK/duKTDqHatrW4Ht5hn1Hysw9AN4dnsXz75MzcPBAkcYz/6YZ+1T +I9/HzhuJx0QU9q1xQdgeBXj48Vfy8U1+gzv7YAb9eZjrV3v/OIN9YpvTeSlWRyaQZmnaDBa nJS+ctIK4HBoqE7jTZb3k8cIAK1TvkthMOFpFxWWPtR9tvrQ3iZVgYbNU9cPQ0pCiFbfBIvr 7kl+nLHMhUrtt6w28qg8hoUTo7nnDN7Hj77UsogLj/8kSx7tMTVvqMjdGmhupqDoM+Vt8HMx pW2178c3LIqWyLXYqZrlhZPrb+mNMvD1QvOLXVDT7AlPek1QAY1TAjT/usBx7+gf0ekCQAaA jQ1lA2h6+wANbZcE21Jg6Nu7Rd9HgaEfilhVu4iFcVDM+PwwxOqBEqsNRiwYsfY7z/COglet h1i0A9qzdAFFhgsUpiMbnipBVYiDM2b60k9dhzv7GKWbZgAiqaHhgqh5HpFUTebIHTulip8M iKL5dvK9ShWzX3nVETBPZFQ1KuOyyN9uWNbPfqVWHNXXmufPKIlDYoUXpzNp3SiUUasVWRRj Mk48duwNnmt9Uo2qR1RQU45J5TGjKAK8xWvnUpvaq9G6Gtb936bY/WDrzeaZyc/lvHjqTL+G TxO2VrD3Dxczm/irHxNfJt56clvvfdjHrE6re2dCyjVDwNlIZWuofxuv9o79H/EK9R8CDOAV IMC2eHV7H15R/JsAg7bq3FJfZ7cP6Oy+6uvsoVi2e54R8wCWgYoPE03C1BeMZb9hmbqTLnX7 Ifwvj3VtosqALml8Vb++CAqxdA0p/KbWSXb0ukbvPtPihc6S+bgaDvMfZAM6+NLMolZleela l+oEcK4rFajR/1h2KXJFAtbw7Wej5Qz22WiWkn+FCfzBW4US7ScpPvsZrKKwMqPauNgud05b 5wksbzxgDV9djyiNfv1uKWITLkZ2zmZrIcUCXkJkhzkCzLFhUb67A7Nf5/rx+5gUxpfpMmMF kPyH1h2t11mZl7J4EjXyPPSymWW4O8dxXUH2ZZRAA+YlzL+NZntH/4jqC6AYQDVK1IPnGVF3 1NeW+ELb3ivaPuIL7VDAWtwFLKyDEiPyDwOsPiiwOmHAggFrv/M0Kbci7zhkzaGYieyELLrn 5b7Uyx5fbyyIFLQ6PBL2qwmeSmbSvNeOzDDzoaXoUqsjO1B0+Cbb46clCrDo+JBEpcHqJSeE zUXHOUN9liaXjfyL8mk03j/HCBcDFh1PEQIWHVcOFeTP57UcP95BhEVbLGHk8xSJI/qxXnci e5eFSsqLpw8evbWzZcf4On2eoLEae4nFpeZj03XV3J9Sz3qjCh1QTpzzXh8r8Os2bdB0FCw1 Rq4bkX38PbNFct79w2iIVChVbTfzXxcv7h3+PyIWxj/0F0AsQH9tEStrH2KJ/Jv+Ak4T6Iup vaHEQHr6VmA7YHUzoG2mrom2tTXIdEuiAct5ie4koP0i0Yj3oZ/oL8UfB9Evchf9jh1k/ufC Qk8Y/Y5Iv4iHsnO/DT0FN9LCwp1Qjelsr5PeiKPTwkFQfIZ38QmpFvHV4TAH0m5vz95OnRam 9ZWWn04TU3rOlmfJL9VgfMrBQrKcsqnJ8JjrrOnl9sUJvrAYJF4ZjWDC0XTV+F0eyZJwAV0+ hSDnSEpFFeeIvHfP/WoWa0RLSOjJCAk96fNqWCtNmU8p54cRcMtgoqD2kKQyt7fTcTLdWgy/ MGXzXF9OLYiKsalB8VnnA3ABwgmw/3qTbhG93tJ1PtlYFUE2sP/Pgpl5dCHK9UKoWJv768Ta 3rE/QugJiDUAeQACMdA20HftH+jbUGc7hWnw+/AJ/lDqrGwXn44fwCeBwp201YP5BJuchPHp N3wSzuq923bILLDL5raJsrTP0vCSnsSdUmAulc4JNTGyuzhpxr72k4ms52MUh8s98zwiUxqm EaGJG5UuEe6gzMdmRXIWyy5uTvAnKCDqjJW2UO52g9O356/USujJv8i/EaVE8yHFjyT8qfZW liib0CCTRkZ96mV1ZIL5k0UHaYveOpEIxqTqiFaPyph871RrrhvIPtVN+bnJRPZ2mnhjr2Mi njrJjlteKiv18GV/s264JMLOsx5uD02nGB9enFJ1rcKpG9hIp1hH+NsAtXfwjzg5CQAK0GZb gHLcR5sRQf4V0rawsbXStwbp6N/UtgObWzGArGxNID9vEYx4u6h2P4VF/A+CAQfwA7JRF4Rh IMjXflOS2AdRLG+HYjBTDEax/yeKXaIzIf8DUyzQg+JFrw4mrqlMRvUcO7f05ewSbbsos9UF dafnG6aYDZk0s6jOwKW0QXCIO0iVq69HpXJxbG72mCf2zQuLjSEeJx0jm8zMkyON7XONiTni CdB1XIMwHuF4q0loXtBrvvpB4KKtcw2KkL+aZIODlEVr/RiDcziKahQBMenNbtl20+Oi8Hzp OpWk5aP1P0iw3fSv25RIPftZ8mP2OIUsVudYplqY6hozcwpzBujhZEBrkGqpKLkv8wNgVe7G xr8uxNw7+kc0xQB8AThbQTvMlKS40n9ySrJ5F7FwDpqSfAmz8WHEOmoSBarA3d+XCxlBXTGv lTuRlzmSglVvopmFySJUupqGhGXSdFRdzBcVDTmdpKkZLJLz0trHmitAkT2asA5wxWrAW67Y 91tzLKg7rli7lVVOhVrvSXPwBy8JqI3fdma+KKwsvS4utieG0/YK1Manynut4BElwwe18TkZ 27pai5Oz+46Jwve7Vb0q+sEUWxPLuXIrX8S5Nqy4JDCLGYRQbeGq0VSG8mb9m4dTK0ZI3QtO crXEgs+IRfVUD6kl79fz/31JFHtG/4jZ9wCxAOG1RSz/fYjF8Ksp9g9PTAhqe+2YYlvTk4zb h8a47/Qk46G4ttvvOnHQ9OSTVJjfBeMazO+C+V1QHbayqcOm0f/7flf5Lj7hHjQbGXcYPsH8 LhiffsMnPT0Svd/6XS1GCKw4IgOYqz4sXmXt6ZeTTAIp/E0EBT8sw7c2TBpMGGRTynWWm3+t 5Osvel30uFvneXThfewMXeSPchDZZVU8Klo56zy3CE8hrBcYrStvkQgXsDTXimU9lekSJ0lE EgwitbqmpTNpTSukX6tDWASRXXlzBLr+ZcE9Hy9UmtLQKF8MJ1CF8MlZhShVZrSbrkv61vWk Cw3P83sTOKfy2Xk7DJM0NL1HaXzFhFbc+ku+z77nfcs9LkkvRm1r+XM2g0/Ld2RmI1D8+4oe 9w7+Ef2ulU3ZtQUop31kF2BWCZpoW5mCbPRNLUy0bfT3TjACCCPZNrxI9kEYyaENr7RdGDt5 UPF2GSx8hGHsiBh7S+PSenjDK5ek2r/KLADtQkuMSsAY2O6Rp57h6+mLfcsT6k7NG7Z92d3k U2e5BlSULPgbNrPAulwzqJtALgIdXarUyIbfnqupaTawdi5WkRAX7K2CfPpLFWTYP6oge8kC EV7+vOtlPSvU+GbGYUXZXqSgKay41A8aPn5dX9HgyzQY1XQUDIcILS68sVLjBRRXkH0RVGjN /nVCa+/oH9HwAvgF8Awd8zBlkOL/2TLIL7uQhXcAsrTKYWWQMGQdEVkJTHZqh5lp9Frz0cfQ kOi7djP4M538OfAEbb4DWY4ubkj0sRJjtZ8T6jy5Gx691enNxNVBx0fuoMx0syKlr3Ora+yo m4mrhfd9FsbXzPyK8g2ZwB+89iau9rhvOV6Mea+tPaI0GrMnFTcTV1WFFAu4iZB//MDHHBt+ 6kL0fXa+ZMp/+j7tBUffKGRfAdYV/pmxO7Rp5d+8l5sBx6uQVC0NSAObgqaBteP/bcTaO/hH VF4AsQDltUWsJ/sQC+h4K6Ntqm9toa2rb80Mdbagogt0zkpf2wTspA/S0zcAm4GBZhQgA7CJ vjUDSMcWbKIHkpGm3Ur94t4+UIJf7C+qfYDH/cdWGP5BdZIwKwwGPJgVBrPCNhUawDmAez8x //tW2OAuPhEcNAWZDLPCYHw6Ip9YhtyF2g5RFRm+jN2hNJ7BOXo7Fe8OjmK4RDMi/MLLqihO So0r+e5fv+dx5tZ0K5e2RDFf6Q3AXGq+pPQVWkkkU/DhHOckv2a/gKdv+gt7KQwzPK0iB5dI 3cy+cHsbWt2zuJ5CQRhSd4WY9FOwlLFOcuA8zbTr15Fq4ZB3fkldODXKXm/wXqceXDkoYCyk eD0mw2NqPpcpA/wGu4TW36wkvjuej35hhT2zX1CY+OP6nD3Pms1y1svEslwPPflTBYnmC8eF KN3K/9IQcu/gH1GQAYACBNkWoKL2EWSs0BlIINN+I9Fe3wFsbQM2MwQJSYmDzplDm4Lx04LM rSC6zBpsaAbSNtO33yIb2zbT2PaQjfSXlDAg6Z5wX859hgP8sh3OPdzFuVMHTUk+TYUFnjDO HY1zo4ED99oO6ZXFn3pBgulfZSZ5gjKDK89/xyvr3uWVFQVtemVfOZt2KibdHOB3B56LBpDA 8+QMmMdzb+DZCwk8abYCT9pKaYgQW2TY8cq4HwcivFz39bK2pIl9M+OwRluSwG0g0TA9/Alf OI5wLfaplULtt6yXCfmAVYb/INF4gcwVZF8K5dzCX8e5vYN/xI5hPzeF2DDWf1+I5ewCFOFB 2asphwFUPxRQXTBAwQC176qMVdrznYetkOwDjefionkVK7ZjyJNFEVQ5EV8NPTfLmd3XNjrx ovj2aDT3peuG+b7JJxG5Bm4osRAZgnwl00gy8Vxc+QZ4PYCehoYP8R7Xvda55XrhNTQZrGtv Mhh5bwynLeruZDCZnEnBzWSw1OTsvtMQQrkGeFnPKvZjD8z+mOsnmOJTMLI5+eDqhpvPqp7x gNltFDmvBSOkLp5zRn1XNtjc39dSZ+/4/xGjMP+hxX5uarEtRhnvo8WA3UDOyNrGylbXxhqk b6PLtIUunG1o4eyDLpxDaavdHhfRQab+M5jHBUMXzOOCeVwb0grAFYCv1mP/fWlVtItPxAd5 8KkwPsH4dEQ+haxPwP+GT1K7+XS/mP44w81wHZyEVHlaEzQonwR4gkwQhxbzblxTX1tK/L4Q MdGyOCzBZxOE/y6ZCG2450uQKnLN686JXXxKv950VfJdXslsTKaiiYiHRa2cu59lbRJW3pkA 7XGU4bYLjap3aZeVjO4VIBWUPjbsvqwyyclISHrTOIXv+qk0LQ5+U3rjntnWCBHL/nCg81eS BvXHT4jCT1jXnBfNoxQAPg1s8OnezDzZNp/+vtBv79gfsfMXwCdAVm3xyfaA6sY92V6m2/OO u6sb4f+gunE/gbW73RfJQYleaTDzCgawIwLsFafnxG/NK2mgebT3ZvNokw4Pit7kJLTsW49V qufYH65qcYRSiReA3UrjUXnL5o431eeo0XD7+rl8JqV3iMQH+eadP82BUVauMRMr6OlrYmEh hSGDp1VaXKaiA/4QXMA+pXOWzVPID6OHsEb+bZxqNqGBGWUjtD470fzJrMM7C+5aRzke8YDT Y14EV5zA4t9L7ijetid/9o2vtL7mC83pxljX9hnMJDPz9wbwFPIQhaUSM1a8Rs+cwpEIimpr B89w51Tj1GkydbOreqit/nX12XsH/4jmFUAugGTw2IcqbPyP9lqd3wUs0oMS7NNhwIIB66il 2KEyC/+S5oXAupHmxeKl4W9An1trFEZR27P4JCKmpqFQ3D6UQVxN1831js9Gt/uGB3U2JiDy 3ByEmBpkluy80J6LCGWLEy14N3xvUtk1htzGRL7BND3z6YaEfb4qsd0LbSIdIT+Ea3dd6xxT 8ImwdDtDG/paHO+wXhmw+DL7eCj5Y2iCwyhKXgMmhrMKbWpvXx1axdN71xxj+5fqv0bLlMea tv8Pe2ceD9X+PvAzRlkyTbaiwiQKyZakkspStkGSUsg0hgZjxoy1EFLaLW1CKZSIVtn3rbSJ ki2l3EukLNdWkd85Z8YyUtf93t/39+uPM/OaM5/Pcz7ns50z7/M8Z855HnHeReISVQ18O+KF qBU7KX5L2vJzYtXMNqittjh/sIZ+fFF4vs1dchpn3uBvFwZt8uT/y38VIWBBKtcosKZy9rUK XJrscSQR3VjOvGRo0CONbpCLL1D32ku1Yyyn0kh0AvT3IkMeZ0cA9TFoLWPsHi/1sV5i2O7x WjbFP42rfhHb/Wfsuz6BfWI/u6MiEbmjAmHfv2RfyOuipl+yT5kKWpuHBgyGuD6GZgkn8F03 UL7OsVGuUMu2zeOk4h1D581pqL86nZRTm7M9v17K+6Jy4ZJ1OdenZP8afdQJ5+b4tIv+L1z/ 6pkpr5MqsN9Bv+Aih/y8uITV56oaOwJuunfsOFxrGgsIN5vSxefrziwuwdgxatZQlVo+rFVY 90blda/PTqEVLqYNOZdpl8/GtljtPuE/3OuwbUH11ft126q98+PqEnO5uzWMJToLJK8OjkS/ 2vfNfWiZxHUTWVxUavVwg5N3wZzy9ZCyxrF76LdT1iZP/r9U1iDmQQzcOWc6rln1/zdds/ZM 4JX4z5wT3klCInkgvPp3vBJ7Wbaherq35OdW49fVhmcd22HAy39sywf3yIt2cVAwNcehgbFb 8n1W19tElwc/uxPYqj8zMMMjq9mi0G+gu5cXehoyl2hGuwo8Lh1uXMj4pJBzlSG8i/U05EK6 rDbl4Z6IjAB195Pw05Bn65ulCymKCZZqp5mX73cuSAqpLperNcJ+fBTp4ZNO2rJwlfTT/qf6 iQ+CXftmSlaJjMRQvvTl7v+yjHrdJAV3QbW074HnPkhZs4Y842cOzvjdgDV59v+lEwoIWJCy Ngqs5CmApQVdHyMSSUxPE6BuhpNhuFBo8jiiM1ke50JyI1Jd7MEchQzJqPQ9BHkc2PhyOo0o j2NQCTScgoLCmN6mPdbh2Wx628opyKc9LfJtADfSQjHJJzGJfEzaQRGmUCDtoH9CC6DmuB+j opXBXYsSAURY5FvMuuUCouEGkH9VCP8Q/k01zpuCqIeVYKrjb2xVrRHtCC1qJOWK3K4451ml Nvt2CCemt9m/lodCs7lvP+Crza/x7EnUwJv0HZg04aU9V1yTm1zDYe+HGRa3G/JCWnFaOq9q 1yyZ4cB7e+ebk3MjnGoY+gn4ZF2Vd6FxHILE84aictpzi0vcS9o83N7sMYq7dbW/dimj4VGC fJTBcUwC50GxXNEkP7V8i8LWLPUcG7fdLo9zwyruWeeu9xE2WPcaWzrriJ52ztFbbyV2bpQ7 YBWT7xtnyBc2NLKkUFrpd3TAM3nm/xH7ZkwZ/nZcWePs0pjAEdy0OfLyzI8cqZ/AkWcIRxCO TDXOzdaLNZ/+miPgWEE9apgrrtAl5R6m6GH7OeUP9cUKeMNnjsklhDsLnW+5jwwbyXbItLXl DiyvKT/13kiT75SwhiLvnJKUF+gB3lPBT4cwUITHzQ/imwxQr24E1wksA9WoBIbY/jC8ujl0 F8Q2s8OvQktv0wRd89yf7Trh3Zv7Ulyx7vWpnqsyBmTXpmhbWqyJ9ieTYSdhn/w1DS8bt6vg 6085q5G8a6+YmYS0NYvpxAuNlA50XrQIfezZ8LEcuw+KLERRsZqJzvz6213smjzr/4ghqCmD 0Y6H0GbXRRYhugjCEEQXQXSRv9FFRiMqjoeIZeeIJMIRhCMIRxCOTIMjo5F2mJEO2TmyGOEI whGEIwhHpsGR0agQzIhd7ByRQjiCcAThCMKRaXBk1Mk5M7oMO0ekEY4gHEE4gnBkGhwZYguW wM6RJQhHEI4gHEE4Mg2OjPqgZHr/ZufIUoQjCEcQjiAcmQZHRl2nMX3ZsnNEBuEIwhGEIwhH psGRb2wuGNk5IotwBOEIwhGEI9PgyKifC6b7MHaOyCEcQTiCcAThyDQ4MvrwNtNfDjtHliEc QTiCcAThyDQ4MvpcIdMJBDtH5BGOIBxBOIJwZBocgZ7Rg75Hn9GbyJHlCEcQjiAcQTjyNxyB 9BCII+N+Dtg5ooBwBOEIwhGEI9PUR0Z5MpkjighHEI4gHEE4Mg2OQHrIqD4yB+jiwsEDHoFL fe54B0jo+wImAblAgSkeWgNFNgCbPSKoDjd/TFAJLpmFherbDb9Nwbc5oAxAa44LMqPAfFSA Oq/i9AClxLhAAwBJTm6WG3MOuJ7P6FwslO5Ei4xFjhl7+QMs70tYgI9TDL6Ow9ElDH7TUNww 76BBoZUgObpreDaThzJw/Txdc4AfXxws73RQF2cAzPLfgXGvdRygHAd2DI2a1UUb8z91AKyv E+UP2N6byRsAKJFQQCAQcRcADsLpIDh9CC4ZDI/sCJxmsncENQfgB1BoDrCq9WjIy51/MdQz JnXNATLgBjgDJAAHKDNj58D9SAFwKFthXzQW4O9aCMuLZ3Ez988IBlAgg8cKJ+fYHGK61kzw mQWwfGZBrWwlUmmkNbitJCLVxY5A9x71asXP5tUKmoV8zPgsoFmzIAjOQviPs8Dz97MATJqF fBQK3Hp0LtAT5kJ+bC60ASrgAs4GCV7iwGPJGSAARDC/F1zjDNiBKTooh+I4Qj4CH/NAPgJL eSafp3Y289tD+/T9z89TZ8LwJiW4OYc7l3znUtn+wmydCNFgwLbv+qYaCaUAsmHajCLbxuGB quEMkZqSxU9yKr5xtld7zC81Ckvx5L35mJdz9aeT7rmBIX1bXbkCBdccjPOMt93Md6OlJ9am k+POQ/ID3sNninLPJHNFhhpKPPxTv7U5SFaCqIhux/RLUZPaLRw7BTLN4w+h8I1mwTFEgZAG H1+lo6oqR4KL31ddBbRFUsrO4P/seBJy7n2tacsffsFcCwblnPyH7hMuRCuqt9j0vNBx0svZ Y1ShTsKQJQ2b863iM4cW3N1hbDV4817kIzV6FJGqGpP8rNK7YIPo8O6hb+FrC//8HhxJnZLn yo27CVVgKuTH81Z8KHzeOtx5MPdgZa5rvbZonDH1kI0hVzbvLn0j4uMdSyhv864p7dhEXds+ 76tmd2d/ulLihbtep2a+ws86FktqbbZt+uizw9c/PLDyXUkY32t927e5+Z+MVQmJm1W+SiWZ xYqIGOrH7DwuJntZNVrmFb5itW0iUdxNa39hQO81SvqaEfsN6bZJcStCQ1zQ7T4m1UPBYjlP 5V+fL6M/fz3wJi/W8UGNV2ymmRLWnC9DvkLpxeuXrRvy+2+OtJ3lF/Td/l1ryOhG34PkeSs9 sFMO3UclCGUDYkBOlkkeCKGMvQQaCTxEoMOkw7LRpUFNKE/itifOa23G98TGkk1nipRDKRuU RFz3WT8XEHa6phcQr7F2+/7g3EJxisndkPg/atvwDfE22VXcQgYaGhqta4e8BhndHrt4776r FzJYkjqStJnnfOIjXu+Y556eNRcZBidIKkQt/UvPxVb1fvozZL2VueBWftVz9mbSbiTKyjYP fNZ76RW3zEul2+lXDe27kzqzz7YcNnwsv0ZO1/P5x9y2c8mhvQJJf9hveXp/2dV8SkukkKXW 7q2SlkcVHAx2pkoxCs3yzCSbI/n2pofNxogmZ25pq1ddcidEWfZFB3bQ2w4T1u6ACf568+DN 9ISV+CKVGvL9QN+GoNlcze8Gn9bZajjaHQTmr8siNp1Lf+lyyzwtO8f2tPT34lKgsbXhaISl emIvWvr9drLAms/YYO6YPsXiyjpA8ette29zYqnR0aD+OYBa2JGXqWlyivLlAQOSJI7nIVxx 4qncmderdl2qTjxuo8Wv4eMB3P+sLlZUe6iR57tVzeXz+Po7fXWAt3RBpt3XmQd5CumXmj69 +mJUUvbNmPcCwVk69YWBkisWO0NatKKzlt79HPhYkHoF47Cqx+BWI67bFu8rOHPw8jy0lVr1 3rt7esS1nW0eC13sXfdKHO9wKbHK27H88EbK2431e/bJuJb+lXA3uEv7QVyJanpK8sqN1BsC dPynu5d4fNP7ZBQ/lhbneZ3MEMy+4TX7krRb0qyZIklF1244Wczd02obL2WtTFHP6U5SBtpF 8wYreIZbK/IbM2wFH59bVfZV0j+nT75gb7e8g2AXN1bHwfq8bqKfopYRYKG14s2FN4QqVNet d7LShrtFddqDDJ5ouxhXlc63MLjfJW3wyipb9MkqfVGZ19wWidTOTeqCpeiR0nyFC+9iaSvm 7wt1vHn2ke/qZamHEgYdDdYKRm8kNx0JfeaYeHPWoiaRHJ7dJwR0WzT3dTTyPQyg+b91KdYJ tJUw6NZoTaSgkqh2gkH1ieRHflJiJc0JZh5BmA/0/vjAe6ZhkUuFE8levKm+Vgrl+wdmVfgm +ko/W84nqbHoM0fL/Fwl0YoNZfyA5pLFD1OXNjf5uLVISYrGbC7Ltwk9cfAvvbLhPwZ77DjR iwe+mxxVondG6QXpHUposs7O0Xjmref6LbrGoCR6ICd63rzLu9d2au4ISLtRcVvupM+JBUUZ i/gW9J6mcIfIfkg/stQyJM1SsUXXM1QAa/9wwE+pOcRO024x+UBnVODa4qMXVOwfFRuVk1ob JcUvGud1VbZV+imL24+cD64jXOnxihzmuXLUjsfwiaLh3HmRXa3a1UIDX1Jyj3Tpf5Ka9czr Cy0pqsBBwl9cSdVGUyOzZv+dqILNcuJnTl2r9JrFzZn357IveiW3hnVSLctUP0acO5JQ99ZX gqebGfjPymyjC4cy39AjuRrejWSssKSeEE9fAWFbPZfXvTfh4e6xJbtQCd+vrO8wjLSbdyxj x2nR/e9rLdVyIorl1bfRZfIK9JT5m0t9ojM3pmSd7aYG6xUnt6clzLLa9T4wZPYCU5nSKiel WFpktQsmRW2zrLi47hWPJnSP7UUNi7DyVKH8t+vbtCKUzaMKRF/V5pzLoxaf1UzUc+cRl7Tu yLZI79+6NL8I8NULUN339phkdHyEJl7SmnTHpC0eZyhC6t8n8U0q+6me0P5eqdJh1bMytPM6 CfR1lm8DK5f6lD/g5ZiPr1x07fTy3Pv4svv9C9/Or3ve8win8+KoHmWBQVjHzgUv8hMcAldm GduFH6wnHHctG+YYpB2wKXSfq4aR0wy53vD89mGFOr5awCmr/qG14eLiYR9+F84gG9N3m0wJ GSMHPnzZnCHSeAJbkaZpL/L6PXYqFt/x2EL5ZSxJPGhWCOkOHPoe3MX72fHaXN1NMVW8ryzP zL3//FNUeRR2rf5hqTXN+dQPRQqKA3QFh0xxt2UKHT5ETNELdVThtdtJysJFNa7f1LneoUV1 U1aeoJGwH6uHG8PNSPvvtT5eZC6pdcKE58rsK4ZXe3WfRg7Vejjv2b4zQbbkg1ziwj7+m7tW 64dfePkyYtB064OoyOMxxZaLnYc6+q631LU+0OmjR579eqZywfsPBC9Lf26NoJFutRHjN3/t +hL8SKhoxRG651PruP4/0GuDPszFx0k/rFb8iXExWXf5x8bF5LP5+Evx18bF5HPh+EuO48cz 4+StJ++98Vca109NE0gx7INMCJbvaabq24WGVF9B7FSqr+AE1RfNUn1nosdVX2Z0pMtYY7DL 20A1kgy4Au6wck2CU2SABlBYCqYiqFKSwRS01hlUMImgsukGfkMqJgbYCub3gusooBQH2LPk kLKOAcxAuQOYZoA5OuANl18OLt1AGR1wAuU4sB06uI0HKGGqrZBMBqzHHWyRCJeElF0cmKbC JWTBOjbCCi8dbBMHq8EUsBZnuFdQH+lsrZLBHAPcxhRuByoxXqs83GMCmHOG+8BUmymslpij doD7owwsAz/ysPGxhrUllGLKSGCNREAB7psOmINGA6njimDLUJ3jeRqrF1R4PM5srTHg0VDB 5R54HJDUnjXzdvCcusAl9o6NkgHWNzoeD1hKgOUEuC5F8LMd2AyP3hiUQrVAchdwPYW1NYHV Lwo8BsKE3kD7yoTVGh3whOeTBO+HvWA5KlwTsw/uYGk3OL8Eh4GDCFpBJjowGuHUFA4Xj2Kl syfI1SbIJVhmpzhcGkrNZ5blBA9RTnG4LMANprmh+F1JWMi4TmAzzrjYAkewh1F1nLTuv2vE K4BG/OWFuOypjPgZnNMz4klophFvDX77TzTiVZlGvC76HxjxquNG/LeJRrzqr4z4Ddy/qxG/ agojHjryjE3McWQXHGzL40Yt+Nk/WPC8HBMseNVfWfA4rv9/C/4/xb0U6kfcfwWXWuAPlsHC CgP+2W4FJTTwDaHbDc57w/CEwMrEsRYo2wrjbTtcygkEE4RMT1CCAXcrBPdRWDIRxoDHwYTS RGRRYNy6jJVWAX8+0sBC3Oh20M8JkuDAnD0MKwhMnqxWGT8glQEjHIIqZUJL0Owy4C1xIJah Nw7AAaNHhB/bEfF/AQPb1C1Pp4KBgcj0YJA0jwmDWPA7dCIM1JkwODbvH8BAfRwGDtwTYKD+ KxgU3P5vwwC6UqXCBV2pkudCrlQhV6r+sytVX3VH7pWBR/HHGVNfqYo330KtV5rjF5M6YvvF vZ3jSNpix+t7r7qcNj00v19j9Sm07Cmxutlov2HNBn3Db6ruGgUXvvl4vvVszc5cpxrecejO fQtRsQNiWySFakgpaqLD9/0yBjcddTc6a+QorbJP6NybZ+sPZJG3NghYWahRVmS538SfLulJ 2RsxnLTrStONVHJEcaVz+P+wdyVwNW3fvxHNpUhlOEqvollSCaUkDRoRiU73nurUHeqeextM JV49niKJSIZmyROSEB6hl0fP9BRlzJDhFSXxMvz22efc2009j9/v838f/8/n9fl07zl7n7P2 2mutvdY6+7vuvdcHjdvIUF6tvcXDJW9PPnool1jl210VpMV9WfP+/PqjF1pWDT6rnb+gfpa8 ZeHMtnXeye/cL8ZWmCW9d1crQBN+fu65PPdVrLT8aMfBY4et8Sk+a8A+fGZE4Mb7S400Ho6w tMu5UHhwz7Pa51fmJv+oNmLt6ETZPd4Vk5qetNucRPEVi8zXnl9WFV5+YcV+awO3B17YeDsd r6KW7QopTx52ygwkWo1ux22rqrfMk7A4q2aQ16RltbJAPiiQP2vuIb3MOaaPPZK6Wau8dtqt fxGMB7WmtfyWMDjJzXjEgKfVB1Yh3ofRUK3KU3HyyU0zDhwaa/F9+uGm4AeTI33XRFxc8+7a npZMQs2swffWlpxR65BzugtC1g88ysia3XYu08RPR7G+xG+43DlH993tm7pLWL/ObUqf7NSw fy5vffvwaIOSrgbJ5O59t6c/HLDtoMUjrZ+6ht46bvXMSbWipf3qj28Tt58YPvJlifSZ/SF4 kPmuc35ZjTImL80SC14qnG89Wsh5RYyYLtu8dtP9kP3nNiUuznIY5CMTtoqvNdv13uYfdscO 0yvoCPY5oH5u33CWlJtNtcLzFSYqXe+HWc7bcWZdlHHWkAOvxw2KKpjr8mxsA8ZusgioiO7y NZcZ0Xm/+0rm8uICGYuy9LEthVjQn1OrT+0zltydm9aq2iVhF5M2eLZ+pY7M000lmmUd6OJJ a50CNIY0F3e4dywdnZNgYTzkeY5TWcvd1zkrGz+kbimuys64s29Uw5jt3Tta2pvMB79xyVta f3qa9iblORvYj0l8uq/N+0ZULbj+BTsCsh+d4qZN9B2fuVzRL891f3m2afn391tt47/bncHc 6hz26M7Eyuj4I5sJ2w6MqxNTqJoaK9VaJGvOO7T5nJHknUXcWP2yrEszWVV6ktLTA0xdJhKl +W1NyXWN+QHJlQG7JHJ8A6NHRnoObb52+AEv9sWpkPMWhqbSMVocnSnj1hhwLle+27m/YK5n Z/SSA1IjR127U/vc/cbkj8rH2lO8th76bjSn5v1T2YDcKUE1z2qLbgb9qvDUST5LclKVSnfw gwGMXAQ5hl1lyS19qfKtbQh86nK+bkPgU+X1/I2U/dsNgdEDJP6HNBrvJ43WA6++WLQA52Fs IC8C4XIQL344xiNMnLEojMPEOAwcI8inPA3y6wVFt46hkwxDUZo1pk/i3awslnjbfC7xdvjp 24DOGPJkQhIk/29C8m9C8t8lJOMVXbLegpWcr/MX0NncU5xGG9XjZmUfHV4cdf2jclbGMJ81 ZxxiNM3l9WbVyXr6WNRrGK3fWF+3++OlqS1Fne5/urqtyfFTK3IIDEg02TDeqa5qywxfzbb6 At1xaI6VXV4N98+Ngy56mnY6ubS1cdLqDKO3P9lmlDfdZeLpy12bEz5E+6QumB5ceqv4fMvp 7ohrz2xPqOoTXA99K+b3+/U7Wm6mLMS+V785ft33br/rvOpuW6yfsXVhyNjjW2f76cx/Vx0R sfrC+D83Db7oZmxrfbN6g8eQ5hDU39RY69LCvBxFraotw07wU92fL1lw3qR7VHRrnFP520bd nc1lDmZ/Xj1aeG9eQPn8n08KXFJWdtx7e+zqqbcz87I1gl9ppDkFXPY7ecL67aP2pNRHcXpn ZG79+t65zj7J6nX64M59MVqTp45UTp8yalJ1xlVJu5hAyzvpcROsx+YtG5OYamUpmL3Ez9Vr 4/bZ7+Y8mKByREpjmb3Fmetvg3dt2/E2dXD3ACl+Q/HefM1qNQPJEv2D6huVfaU3O7VZO7te G+vill/nM1NrcsSErMUOq9ZsWKARy5qyhBWseOktU6/BeVEjZijnu1NjX66cdECW5sNSHQuP oR5Td+4sPPQo4IGNrs5lxdYja7yOGIxLxvXyTQobtetz435SKOS/YKQZpO45ffjo7YL4RqNd 9a6POwNuHBM4xy/8beSxR0rTRi/3Wy1Ver4lM1PR3P9Kx1mlcQU3ZYYZ3VMIzXGwio7QcJh8 znV4XUu916JpQWXpYR2rO/bLIVzGxa711x2GWbsl/FJ3wBTDP2QYGUiMy5s26tZvZWcl3hz+ YeOGeI3vMu3ytI/NalhRuuC0Ozt0//Ra3wbvrZdXjVet8CmNK1fpvLBxqcbHM63bbHcxG06W JVn7RXqoNR4pH5keci1zealMdf5qNbeB9YeOpLuNNnfOcNnmY6myUq277I4csu1u17NyNnKj cX6uoUyXiUOn88SZxdVWnpPmXJkz5cPYzvR2uaBT2+Vk3KVat8tVRsZFqLd/2LB0zKirV08w zPgv9MbIJFuennpAw3fo6cWY3fakNIPEuM1pO/1m1Jy6UYtfsrkUPdVu+fLpdsp1yvznFTX1 eYzcUacOTv9VWilhj99Lh+odH/wVH0R6nXmdkzxtX3OogVtq0PblXRcf3ZizJqMt6uDqzWeX caxHr7x1kEiNxxdGSdo+wNqq+E1ytY5Feapbvf4oGupSHfemRp0VM+/1StOCPzTvthZo6F8K cgtMrS7gn3R/ck/n5WYbpezj5fqh3ZyAqrPN7Jm5cVa3biQlqOIJp81qKf/2fPapNPAU8X7I r/VrQlGf31OtXRNXLb6ratI0V71GUrOmghWmsO1Plfcrl88/mc+YJNc4uTzldskjc+3f7Nf9 MZErwQsLqLWPl5x36UnQm/CKuAvI5oiwhvsWunOqnhxXm7RE9qz2xDMHXkpfP+Yfa7i6ckqg IBLvCrOXay9pDJoRm5dp8CEkTnqtJh+XdXVb++J55Yo5v7g7tj3eWKYXULPMkfHEm5GaPsy0 Zd2+O6d1kC5vds46zsXsoiuFm7dcSWZZFugX/TRk7wfjaRN0HUfIz++o5XmtPjaU/1rNaPRs j+9c53oXDKkpP3x/1WH/xZqT3WY1jX2gVntqUpLWiuSz790ah+ZXtntFz1vR7GtYmhhV4L5H oP5+fsA6s7PFke/n837OjbVaML8kOPP2IKOrkb5ncKOnqop4TVrVw1+icu/sKFrmleD4svDe BRUZQeDvE3cpYIsXJWk+nT319qEI3WUhm6uzZVI2Brd6Jh35sDQ7q0uh3X7p5WNbHj++u+7J ZbnRlqUb1NlttyucPS6ZlaiaWGvtlSsdxuMU8Gw1XrUcrz1o3C7Tetx6AfqT3K2XleUppRUv phc7jRv//GFKqewu3Y/FI64k3RqgVTdyWnZ0p0ag/qKoVeaI/8UhboQl4jCyLMGQoXFvZMmI NU9Rux0pF68XTR5eEYF5GY5w0x6+AmuSyql3TG9YOSU1MM3Qu2reDaPkFI8ls5tCBdsuJYRu PWkw7/3yrUdK3MsSnT6kxJ9YV/02YXtz27NFdR2pr9ALlhndHW71morD3hHz3sn0FyaGbrCJ /uwPy3p6VZurOre5vhsYmV7pk6JbYrg30FEfMfAOrOQezFb5oT6dvfXVHUZ0YnO4C/fVnOza 10/PTOHPUmyqs/Q2zsybpS3dllKUPdz/B8NVx9Wtox5JZHc+PCuvwMt7/qZ8Xaqbqpysdjhj uPxep98PnDUnpN2fRjw2OaexLK+2OetuRX2HcWD4jzn5KUMH3q5YsOyPk3tXsAPsRxqa3Vn4 2Opp94GKHfpTdIhlEyYbO07ffv/jm5XGj1/N/ZDrZhk1sGS57ahlMyYpph9f8WCTR4Z+S6fK NwfpfRqjvy6D/1R1PX8+g/42g/eV+18gvQ39QHrXAcuz4F4qtc9KgkMoBHR4InCP2omlkmAC Ak4CmA6Te652EPqZRYNaZLpM7sP6glTZSQQUhUOYCIFQIIsGi8jUGoUAHrmjFwaOUDHwiguh Kh4E6XB6fxahoT3hri1TDDrTQnrAQXG4DAWUhck7uYsdBucYCu9CYTsLAo08OK4A0kLgLmMM DWtR+8oMuGMcBXvioJTi4cx74EiC5nMRhLhCwCsDwokh9COCoYQReI0B7aaifWty7xwTA8Oc RDvRDChhnOYiHoKGLAhUovRscPrBJKyXlITt3H6lIQQAeyQgLl0OPBdAeiygIU84FiVBtkiK YSKO2VBe4ZA3FM6fmqkQ1O07PhPuwFNaEIK3OJSvd59rneCjFoU4eNJwI3nUAzjisI96BKMk xRTb3aegxaVwyQkhxPkSeSIIcb7EDLH2YLF2SbF2+l5gzz2/Ry8F/53plhnCnzaVCRYdSYqO hL9SryApDiii/yiiMCGyRrKMPfdmf4hCs/yXIQpO8hSiMAm87xRHFOwpREFP/isQBfseREFW UgxRsP8conB377cKLzr2sy+iSf6ublQUj4sywhF/lBWJc8IQby7O4RPC/Y5hffY7bovBK9L2 ny0Vnnlo0LcENCYOTVb90iD0ZmDfIGQH2nQlbGgor7c7oZwZWd8hrPjgQ8fEhLUUtvQ9LBE8 Sbo00l3pwv45EtPB4p0HXe1M4D68JTxAC0JDmNQI5Bzj+1RzCJ2yI7ySRVeGCB1WPLhOAN7J 6oYe2JILwVKKOxJ8pCTZX58wsMwC3BAwUHGg+yIg5EkFSXL0WdAtItD5saF2uJAXkiLpwpFe NRgUeKlEB3TxAEmGMKFD/RQURUBII2iuhLUpCKzhEPLNh+MInXBfGXlAncXQS0kIyVKao2Zj AgMTyQMFJ1PX9qVEBQKGSJuUkydDqQAGLrTXPE1pwBeBYRkVheieK1xg7QmfDhIUiExeGwXb BTDwC3UhnqwQogoaoYZI7rzouiYmDJKhcGQerGjBaNujapsQkQ6ZgBpGh1dKk0JwGqFrZTCa NhVu4+kAyqLrnYR3CaDOmCKp9qcN4fwoTmPo1dIT8uPF5DID3EUlZZQ0eLTEKc30gP0ceDd1 htJVWX1pCBNCIbfUygqlq42o9CmGTujIBML4k5SKLzamsI8HeSLv7+HmOwQBq5gvSg2xT1ZJ GHj/+8ICSgMsyDlJUci9Ta9SAhy2TYJlDK7gCjbUD0JXTDHBfwhta4RYTRulE+Fq7m3fZE8k OIunLRoX2SW5rpXEkhuCXn89NkTNhC2aBzVLAnovHFIlJeMNU0yM1lMspCX0JLPpVJuanSVY keMhVfFVQ/lWBrQ9O2gbpmAU0hs4gnDp2esKhE7z/Oh5mECJm4jOKX78oA4RcDfpwTn07MxA jxfoM6M9MnnkB1rIteYPaTgDmVN8+0HbIGAqzaKr1kLoaj30k+o8JhyNsisuvKcnMY4VW2/9 WTU5Vv9JtQmdyvY8IAh10aMJSisotJlQOK6wPi+Mvo6KL9QobFH5DAq94qc+6FMvawbTWqoO r6e4RbgSyUSX/FDqNGlhArJAFFupNikJZdhGVccpQsyFTLHW9qpz0+6VkQT16jPs1be0V59l r75tvVJdo3801Z0IUl3EoFa1v1R3wsAvS3UzB1Cpbip4LxNPdR2oVFcw4CtSXYeeVFdCPNV1 +GzxTOm3mura95PqDgav3jwuAyMIE6d4BgtD/HE2Jsxy1ftkuRNkxbJch89luTv3fDvldHOl lSWPDlms/KVZrpfMp1lusYon6HTisqNYWBzOj0dwAiHwMA4eijNQDp8Vj4TjYeEYD+GHoxwk lMtD2CgnHgHPEHwug8siEEMOl4/4O3kbKbkJCD6CEghbAJ4uwMVcXhjKwRejfJzLAedM8iZS HwgWh/EYOIEpTY+Lwhh8jAnHQMBjCI6ykFAWNxbhhiIMMGAYRiAC0MxCCD6GMuNNCD7Kx4zB Gc5iIQzANcYD9GMwwCfkS3gTYCMK5fFJOjwsTMBCeaLRcY6oSRDFBOQQBmkfSs5YDM7AzDxw Dmbmh/HgiTc9TcSTy8TAZIlwroDFREIwcISHkpzzuYAaQU4DcIGgPAwllKbxUA4jHCOUXLgs JvmIBbjgcHlsyClCgC42CoTAxzgEEA3JEaDCRgFjIukB9rkEgYcAvhxZpECieHgMyWuIkDbV TI4MhCaUcizOBxzygZ6ogZX8UV4Yxkf4wPbtEAskHgOzJpUYivOAsnA+FB+Xo0QtEXjZ5wUx kwNUwAGCtCNBdSZOMHgYHBrMkUTco0jA3YzDRmIwDpPLI75ArHZAADipejvEGmFzOfxwwriX vkXNSn7xYGgmnKaYCZKyQNgYHwWXkWr6e4I2JrZ0B6LkFRIBtEfdCs0U2ASK8MkN2r8nNN7E CgqVANaOsLjA9nhKZODLIhenpNAdJYmWm5XIRWWL2jRpVyYhkSZq63mVoulISWhAOuSRKkUH hk0NSIkqKleFtKhjZUhNQhEcK6pS9FTBsaoGDLMu5K8GSIo7QX6v4Dm5l4M07NXnKflPB8/1 EdIa/QXPwV9Yhs6jy9AjwPvP4sHTmQqevl9Thu7cEzzfiJehO38ueCaWfKvB06qf4CkPXr2i MA4yk4+xRVtDCn2CprZ4DbrzZ7eGdn+bNeih/QRN0lKn0ZZqR1uq8ieWagvtlJJvKSwiAiYn /fGjJLArSfHveOgVfp9K9A2/pKx8BSwQs1ggdAnQMEzJD7oWyiHhHAZLQAgjqOgSQwsj2GBo aYSYmkLPG4OygOslAxIZkcPRGDIAgHgEogUIU+EkQZpKLAjsZCe4NIxLvqLgDjLGh6EsNC4e EDQlfRi5qjIglxvgHHQR4bmEqDwqo5dNSEgUqpDAEClNZ8n/a89gAzxD1GlVvf48Q7v6l3kG X3XKM7iB90vinsGV8gyW6l/hGVz/4gMqrp/9gErx/7cPqPhzY1EeE+RYyDQvl7/+gEqXmphz cP3sB1SKvo06OVsFsk5uvMK/dXL/1sn9d3Vyp4fHPKkDHjDY7K++YuI/7Z0JPNTr/sd/aLOV SqTCtFuSLaINWcouVBIyMTINgzEk0UlKG6WiVCKK9r1JaaVN6Ux1tMgyFKV0TtpD4f/9/Z4x TVpu3XPvuffc//Pxepvf+jzPPN/f9n2+35m55dTfVDF2FrOt4BUrdVhcp8kXXSR6ndK2nmr1 JPxR1Dj/lVfU7mcEFZa0Xmh9sPCqWrnhQPpUpmbyNG728tLwg+Pfq1WFHwx2MtsnY7uhsNRr 75J3Ve81eq58Nmp6nnQLN/yOadbFMbmuw3i9pL1l7c3SW5qLmabHhxb4Mq4wJirzU2vY914t 1UiLPWifRSs+pplmea8i0n7wPpfVpqd3JVfG+zTsmnnI65ahQ86Go5y5Mat+8XKSv1qyRM01 2yNuus/cR3rrHIbWzM5iaMmZbqv0HNvd/1BAdtPW/Y6z267suH3I7EHdaiOrp1VyA+o/KHPj xycxZTY0bdwgW5pn96Tad1RfVVX1xAQe2/38tq7zgkJXJU3fpJnBKruv2f/ZiMGtdy74EZOv 9ktQext9Vj78vse+AQ+SM+W6Ltv+oOfQAf3iex6aMKDT4O1DC44GeppG7pXdeqDlielCiYVe t0MmKdyqJc4Zv08pMktxfLLLrO95T+UxBZF214/7nx0c9sq1eMk7hX5B+xQs61JLZjyfnDA5 LWxYT8UrVyx7LHI/um7WqmMPJxzoJTNkkFLlZVWzZcfYj++6jrvHWxTW+22VXHJeN7qFTMAw adV3XZdZRi0W8N5vKmK82FqrZX17+LGSQL35sj2GDt1dxC6NiZwltUr/8iX9xY63l558/aD/ +TE9LPtWXzi9LWPPpb5HfOuVCsz2K16xb5Z4tih39I0NMddUZxg4lL9PTmiUzC3vpzxowb5T 8maPo26a3PDa/iwoPW9Tr2ge18fbLvyojMaNvfdbcucvjRjO9l4pp0LLalipq/p09sUb2uoD 1PcOKup9TW5LXYyWw4GSXQ9KY2Z7pyme93aW3/xix7BhfX+93GVv2PQ+87PO1YbJE04T3W6Z nrNolrq5LI79mpaoNXViH4PsG6uHnYufandj4qp1Y+kxI+UtTSwNdvexV7v8YXmAwTnlc8ue p88YGJ4587CWnXPS3RmBO0+GbdPNKCv0tivQY9YucRfMzTnI0dw++uWKOwbOLRcW8W5cklxu c6JSK3fUiOfHNxQZFHhLuRhNMXqSmpnLXlZ0v2BW8Avl39eaH+o2Nm9Np4poieSuZYIJ82wm hExoNR100b6mPipJOcCzaKJ5+Eamr13xsYP6f1TUyknvvK46y+vwoI3LJ7n3KlS+7hF3eso9 VT1l58KaJa2v71XpFp2O751ZN/PxnU0NOWmTXrz8fUHj0XK2Vf+E6Eu7Etd+2MZyexf5dKVH 4NNmo/zne/Vk7jSNYsnWNL6VqUkIln826P3sg4wq5zM6wfeV13T74D/L7cNs04quEuWV9etv LK1i5eVbF0XmNT+5fS+9JHO+05DMlgReZVRr7WiDmQ6sEH+fZcyswqXxGTu99s2LyBu5uJEp W93jpFSwbHX5aY23Izp1rRnt2qu2oqt0uX3a8IaJ8H/0+6oVoU2/3S488+LA+Jbxm+YFv1yw /dKNzBbjDy6zpNRj6xd7VCUb5x/2Nz4SWdwcnzFg5t2zjnejV991rwx9Ybag1PzR9KrLrbIo lc+eXa6ncEamILj6mlN6dp9BUpGLtsluV3jI9U7UuBZwXX2yVsSRetXoCxk7LF0jf99WqTjD U3a2iRnncVjGhj4t4zY5XfGzUzzxYWU2LdPfenhKt0qOqtaY/AyHgwduEZz92lqazPnviV/r HxmVdk60UO5ufya0XLFKRfWxZqdmXz3dTlldDfPZ5geX+tw7ExBVtITP3pYSzZiheJphJFsr /XDq5ZfbL/2ea/LW48Xz/Q2P1mo/jnqbNo/e0D+Gf8p5xcJ43tOQnAWlD2xdjFvqH9EEdM0h 42YKJGr6bB0rUdpFW7K8Iq7Xq5PZ093sSruk13k42qmGV2QP263d/KHuoIdUisTmnB62F20E 90ZOD2Ap75+/W/X+OzuN1xoGw0r3rTweM+qXbRf9anTNrK9v9r8+Mtaad2vArwUrdASuW6au 07jPWXbe8ZBp1KRDXScVu542dopT1P1oX2ZcfVKxn+G2U8Y8w1x7jrbXebspz6aeSB2g9zTq vI6P95axAxkHbOp3vbRZaaxVkhB84mHpg4rWQ1vk0jKiXh6oGfF7/9u6b4mJ6iVynGjbSVFe GuPXDZy38UJ/qWVBvq1JcU0PYjaOVQ+oXfDxVfQQubkTs5Pvxg8uiF159bKlS8yexupQxyhO 5d1q4nBr/31ea87u5x/a0CD3jFXSW8H4rIV9pN3cWROtRw8sPaIRE5Nabda32Kgs30RWIo/t faz7Qpql5ozq2pgRit22+ox1mutvX8sfb5jBGd69aNPYtktbletf6u11NLtiduGeT87VfRqr Jw/2+HWrXrBaWVvdte1Z+XYX5z2+9qYhOuSA1cNVimkz9G75uae/UD9C6z6LXnxoZto70xUC futX730cx5f6d76d/OewpphdqKdg/T61sSsrOV+7++6VLudpK5uL9vRxiRh/cX3XpCtrgyc3 fvD03jby4PM7J8cUv/X1DBtY179YJnd9p05h9IgLqYsPXnh2YcCSHkX9ZhbvqLZTu7v3VmUv w+AFglsMda2eA383dHdZdpPh2pw9LH7h7LEPS1Pvqsjp59vNXRa7ZMu0XFuD9V36r+5hFHls /+7G+5lJi/dnjld/M67t4+QI3cxXv6VzYtzqF44LUqJJyj+oavzw0cAx5JG61j0ZNYuUhnvb WW+6x9J20vKtSwKlOW9l/9uy/zo+efxc9l9H233SMOl/mP2nIdMx+2+YUhvlXT/+hnddKPT2 8r/rXacLveuUb3rXn7l1/4H1Hb6apPOXKSQ7YKU75WYEUyG5EOoT53OI+YQ8YSsM5DuKpYeI Z7LNoxIjuMIAOwoUsqlwIhk2D/gseYD7lTraU0PowvDip2B9e6jcViw9oD0zDoUzg0UBaS6V S9ce3muvD4WGv79/x6/++BT4ZVCtjICSAoXJEBxhIHoi4Qzz7XmHKKjNFdUqnhIz7YtAdgCV ExouzENES1C+IvKF5amWiKcrzBamoJDvBgWo5wjXk/XbUeH1UGFwmSPWjvZ3zKDsgHoJZZx+ Ck3PFqYLoT2YwsxUNhWARkFmO2IqWJ+cJvMKHWA5mY9JJsfQqYSU9lSC9gzLICqYHCoWYPYT Jp6gsDIKRjOFiTjzqRQBRyh1ouj9esC8Q4d3HC4KRYv3CXpXKOmHSUQLe4Vs7XQodZxYqokO lWZA9jdyqoNhCfuzvFsdMTvpEHqEMfQPl4iiemSCWDJNEPUuGGIpOjRo7SeL21I9RB5hc0Up HJ9KJkPyKC0IpVCIH03oPQVS26F1XKo8MqxvA+0xpYLVb8jhcjTepdA+3uVCWIh9vYvlF2vl xNZqfrFWWWxtvy/Wnv3ii2M6lkwOYqhQLUBj/UqoBdT4vgraghrfV0J1U+P7KigGoAjTikqo 1r4w3VeFqo8YANMDlFB95IgMTUX0RTSOnw3hDPgsYG732TraZ/EActRPRliNlYS55Me/JCag tzVW+Wsjf6+7/9jIn1t3NPJnD6/V4iN/Dmjkz/Bnvl/W4RsxAYfvjfzRdvzdYgKujAAGh0FG /74dE/ggJzbs5/C9Yb/qHf8dw35a1Mdjh+CPx+Jhv39y2G/p8K6R5+ACYKv3jWG/zY4hNcZw mHRuVu/ms2qf2d1TzEQN2eHmZZKXC5eXvF6cu8vDyFpmyKOyprexy1KOODlZKz3rHZGsGWaS Pn9ZD+bFk62cwFHl2nUslsyEJr3HDirM4rJxfT42XPmwqsr0tUWaayDLvWDNtde6o8+1cir5 scV6pY3zZ74I7vZHzKhXnL39HpiVTlN5M/Wu0aDqW+OTPHeeNrDo5HD7yS3uuNZxc62CG+W9 NrXke5vOvXrwQ6pfxIwXa9JVbvleG8uStDmSquQavH9kqp/bhPr9JeZxgRumPY9RX9doNjDV 6eOqcbOsLyS2XBiYJe2ot/KlXJaKlc364zMvztNoDIo2OtUcY3qm+Xb5MCm55ozVkzz1fws9 wXv08rHn9dGNVitt899fWbG58xBmpeGcZt0a2YVGm351OaugHpA5cmdU6M7xW6aPt6ia4f1C X4b2uEuqJ7dgWoRvnzc+9lkDWx71Vf64JUJb3f2+7R6fginjTg+LS+AWLXtHV13t2RI494X2 4wtl0Xnmt6S57CUzZ+tneaRIZ6hpzMl9rz9v2pZerL3VyvFLbzoXuYRP21M/JejujTOHhgRM 9kvx2Dwzb7t1r0ueFwdKvirQVTrx9JS+v/b13htK9xj2Wu+QfXeKo8yNPM5QqXLZE1uTd8Tn 7lTK2xPNWqBlFhOT5+FOPyQ/oUnVq/BAQyV3Xtl4texrW9gtH387PalyhsnxPZJzOs864Wme cLw7Z4HuZk91Wxt+7TSTg8mO3KTON2Mv8RUqOx+e0aywxaVh4MjYEWuXH0+TUqtwWed973ZS y06npYsmdta9c+lhz7Hyt1uXvzEpv8j3/61Pha9M2XKvM5aBlw/4rTq6lXMs+NJA10XlgkOp YeN0WFnP5rydE1PR7SDXsbxvgF7ko337Z5/a520eHfVsS+jO1EUlnRKMFXmH3/PuTpa7v2O0 oD5/x8YpoWXvFP0dNy+zLBvv8sBNe+pUuwSLbWxm9KOxnJK8mlemmoUhSSdvxrn0Dh8q4Gqs HbPjl5KBsT2G385d+yDhTL6G/D7FiluOnQdtd/Aa8UjTWZcb8NAgbMnDUyv8VE7GFD2yHBn7 zOTKwPc6Pk9v2wfnz5ExXLqp8PWUyR+tmw2iVE7LCZrO20/yyR3ptnH3WKkI6dEVYWVbP+YM fb2xqfjj1rhzcabZuofTBP6E4SKV85lyvp3Y5w+YSUubjelOLpCrVpFInGXxlBWY79PvTVrW dbMTJb9o1KpX3HgRv6C2ofO5rLUTDJeb9b7Yhj79Oq1gdT99uZZUjXsruwdNyVH9g1Zgt6ur e5LS89Sr/rShYdlDjnY+e9YpYJH3Dp8Fs7tfPqw69nCVW7ffVbmXrpxOO6Po0mX44+D0M+Yn //DhVQ24mv7mbdOekTo2Ss5Ox2n+l+p84h5f363xzl7PLlOrNfjaptL4Hgbdd7utzlRiOCnT T8no700KqppbdS+S53wpesqCyCeJBu/y7DTTulRMPb12e1PC0dDcfs5+BiFHj/Z4qrXafXHF rb1SqvJ/jGGlq+64stL5lZLE835PrARr7va/WT/il9pHSotvy2hKTTWfuYBVvm/0tUn5ajPi Vxz0lByq+pobmGSb7a21/0P5mw2+vLnr9E/Gl9oP3r0/9kZNGOdp8xWN+8ddL9rH5/fpvrXB dbPFPYU+C/sWKscPVnUz1hhaYTrkTfeezwcMknsbW9Vk4nfut3nrz2xIivd9k5PcSalQ2naz su1Gu7GRo/pZSvepuvLkWnbR9IQXd8asqGW5bR+s03IgcNzHKScM87cdjtGV07i+f0hfPamF qb5v3qQnOOzNq4hoyci6pmjcS9pzu32nJ6pJi30nR5Wdj3RsjMpw2Mk8uqZFTVrbq1Eqa9HR DbRxN2ZuW2Uct6rM9ASzOOOQzfC9YxXd/Q3kov6wUsvuzVve0ml4zRt5x9tRqzyK3k3YMHK+ /NANlYO6nF27f3UPY9cP6kFD7IZGVkaZJL8yVFV3j3F5+VJvYtM59ctvevmkRTUNLYbJwtSX Jw79usLHbtIvhwO+/kU19fKt0ne+9yHXX50u6CksaZgc25WlHbbdSdZ9imee1tpF6ebB8xcF n26Ki1K9n2srUFslNWCSYbNNVaTZZievq013jyx+NEjCwsuzkrO/uuZjzMbFLyRm+M3ZpOhQ Sz+3pTJIvySyerC3c5ZSz8IJlp0du8UOy9Htb/BE+fjw1d6MrQUK2/fmRJpYnXhaq2V79zff 4pdZBRmvEq4dLMmbkvzhbcmMnZc+lNv1eHV41/U5cbp2lfwrF7pYbdP/uEb91bHRJbOaVmkd W7xA4c4zbtj+Cdk9ahWt8gL76Vg8X/hf9ynXjrfanxvn6mi7T1L+x59yVflTn3Ktkfgy92MT TLjaWNL09Y2MaDo0N0dbeeHsaHLWydEFzRvoG8A89CqZNUlztJ1Is2IEUKlpIexwahNDYxMT 2MTD0YHmRuUXUktHjR6lD0udGFy/EHaA/HRDS5oTPZgRHkqHR3gyERK2H0HTNzU1pVEryd31 R+rRRnEDadb+VPEjaAZ6esby4/w59ACuDj2IEUVn65AZcsEh/jp6eiO5UdwJorVcOoceHsjU Yc8J0YEaw5n+DI4OneMXyOQy/LgRHEbHPWBNeGBIULAOGzVRh0p60dEz/myrEBaTS6cK9WcG BIQzOJHCBpCbfl4gkzmXGYy2jQyis7+5HSckmB7uR2dHiGomN6WS/nT09KlN21NgNlPWAo8D XAsX4ZwkoSRKgdn8l6bDUUkvMWbaHV1fguAou1Pz5lQLebDT1GRoTzpBFGYSRL/tBPHyMJxe F6HdNwniYhW09x1BGHaVIMrKJIjMegli33MJorWLJPG0pyQxTEWSMFeVJMbok6W/7TFAeJ7k 9qSOaMLIXJKqW5GqU4/A+pepFY6cLkKjiovs7uqlma+anAMV9q7tRmgPP3qf7PhdD9E1lFzv KzwcAoXedrIwG2sfOVYDnKZGJwiiCJAR/rgQOY7UKPwUMfkhYfLCqCCBfjWmrwQqrxYKUyPQ yI8VmR9LZe6SSWS21u42xuS1x4VDnxPBINB25GHhyPQLpDOCaBbURQMuBcJ1ZHuCmSwGIZwn 22lkhKYHoP04IeEhAVyac0AA049BcwmZx+BQH1MlP7kgEjl989h4PU04Jcjp0MY9GlYwTR6f Hp3QZ6CXP0BXZCmq3hUKc+So0Ry4LJ8mB2SILOo/OXYjK9k+JSd5U/K8FDnVlSqL3MZClkZc J6KIbVTN5HrylRwbIpdEUb2PvvKZ+rGlDmrDwsLCwsLCwsLCwsLCwsLCwsLCwsLCwsLCwsLC wsLCwsLCwsLCwsLCwsLCwsLCwvp3it/QlpiYw89JbGtrwL3x32smvkDQABLw+XwwFy8xkQ// eMIJHrmQh6b5DQ1tAn4iT5CYmNgm4MFuOXxBTk6OADYXwBrYmQ+2Fm2AyhdfBXWJSkal8QUN qPxEHlWLQFhdDp8vKgHrzwiZAwRmyuE3iOybA4tyyNMTjIj6H1kNTMITNCD7CsiDAv7DCy+H XMMnTQYv1PECe6LtxVeJShYdA1CpqC44BlAboEh8Wfj3ndHf6Vu4LMM5SxqLuj6TlgdLtQl+ pGQw+w9tBkddDj5/sbCwsLCwsP5+3qsAnnkF4LTkkE+3fD56dm2jvB3yiZknEDky6GFY9Fjb YTPRc7XQ5aEesKFYUQnIaYIZ8lkaPCLqSb2DE9ShPR3cKGyvn5VA0EZaQsCnvBvwavnQseDy CG1B+UWkiXikA0R5sJ/cFtFmwmPjc7+YB0vI3cBGPOT4IFujjUGwL9iRD46zmBP0ZXs6uFFY P+sEgV3glAFnqIHqwK96JbAaDCGyAmkm6uz7Tp9/xwmC0xrtC0cLOoE/nb9ftAcLCwsLC+t/ 5p77dxnUpZ7gBNhk3xc8xsDzp8hVQTECkXuCPBfk7IiiSALy2VUg7pugDUTPV6LgETpUYIJP BhnILUXP1SKPCcWMOsSnkFuEnKAOvhV6xqO8LgFqNop6IHcMtUq8nbDo/7cT1CCKyom7G8jZ AXOL+0SiKBJMi28sMuW37CsyUwf7Ip/oy/gUcovE7SseUoRjgoxFtXtY4i0UtUrUTliLz9/v HOT/MFLzrQ2oiC9PdAh1WPgdiQr8lhsFhYjnDOBYEhYWFhYWFtb/hj8lCgTA4xMKBiE/SDys IwoqCVPjKG9L9FDEo1KyBHyeeDDoO9l64sEmbIi/wJ9CrofQvaWiOsg6XwaVUJwIzCluGjIe RG0j7p19J1tP5P78P3d5/mJ/Co0twJnMzwGPRtC+8LOg0lcHx0g3NhFORsEPZuvhzsfCwsLC wsLCwsLCwsLCwsLCwsLCwvozqmtrI1g8giBSyB/fxMPOf6nIL8mo46XwyR9A5rGg/+tSYKaN j5bDBmgVMg2LVwfTLJiu432rKDSdwquDaSKFj4pl8cgJfgqBSkMliJeMDfFvte9npulgX2oW /RNOU7ZDG4PB0FGBjgSR6dE26HgQ2ZdcAMvbC0e1YhP8R85ftATOONE5SG5XBwtZYKZvFVUH 61g8ZFmwdQqPh/aFKXSqglFF9kXWx+fvX2bfFDAEKwVdP5FpRFdUZN/vX5/RluQvXPNTcMdi YWFhYWH9XYTu76LbPe6Q/zGhR3dkaPyQ9tOPypR3g04QeDAWf+JFTgoaaKJcIr74ctHu/BQW 2gudX7CCxwIr1HUYoRLNsljg86aIZtGjNewOvpH4f1Qm5TAJW4idpn/OvshAaFyCclXJRdD/ KSzSLRXZq8PyDruDVVgpKWjMQ7S9yEzIpRK3WoeT8Tv2FR85wfoz9kXTHc4Xkb2+eh6JdqEs VgfTHY6HNmpTWMLi8dGsyL5EuzpY9lvn77eGULB+yr5o+svzt8Ny8V1EpgTbwCXgB89f0eyX 12fhoJnYmd6hXqx/+vosuv+CUcTvoaL7L7pNi3ZPgX5vPwDIE5mX0uH+i4a2xG+4UItoVtyU ov8p1KgZ2lH8CQGfwn/++aqDOpy/X91d1O3Iat93ZEQn8j9ciPW39He+bV90JcddhIWFhYWF hYWFhYWFhYWFhYWFhYWFhYWFhYWFhYWFhYWFhYWFhYWFhYWFhYWFhYWFhYWFhYWFhYWFhYWF hYWFhYWFhYWFhYWFhYWFhYX1vyopAuvH1dpGEF0IyS+WSwCSd369kz6yv8L6jd0I7RFNB/Rg mSJ0bw/h+kUA2dvLgU7ALoIsiyAOAV2BE0A34DwgDRQBMsBNQBkoBWSBakABeAL0Bl4ASkAj IC9sjBy8nIFmki2thcrU4LUv4MzWCffjMBhsmltgyDyaxqgxhpqEsF08c0nq9Zhwvpfwlfjm qxzVHkLYrq+9qkFD+wjflyU9iDmbw6TeswWHSQ+iWuscEMD0Y9DcAxnBDKqZVnQuneYY4s8I YrLn0Gyt3W2MTWg6NBcOfU4Eg+ooizkMtj+d6hs0SbO1peamhjNolvRwRjjVdhdOyOwgRjDN jUvnQuFsLtWSL5aSO5PdO5Hux5pH5/jTLEOCQ+lc5mxmEJM7n6DBKlu2PyMUKmKwoaUBnJBg moWfHyM8nObI4AaG+BPdYRs3v5BQxhjYmcOg2VI2/2yJLdHz0yI3hl8INJszn9rTydmdxgSD kOtoxBBY4soIi2ByqNaF00LYNGduIIMTrmPV3ggmvEPSmhahoZwQul8gzZ0exCJ7yyWECbtQ RwW8T7KJOpbz/YKge5nQu6RRnKEImi2883CqbvcQ8i2H0+i0ic421AaujAAGh3yj4YScAjpA 1YQGtQkh2wOd7E/ZX1K4itwEmU9KeKSrCY9EtyCmP1k3NwhKaz+ksLCwsLCwsLCwsLCw/iZ6 12MA6dcDs86vrVkLPnMn4o0U6dwEM1kM0s8NJpgEi2DgrsLCwsLCwsLCwsLCwsLC+puKivMT KP5NxvA7Eyj+SYalSd+fjNuTkWgyXErG4MkoKBlnJePBZMyeDAKTQdDewjEEMiJNxu7JADQZ 0VUB+gH9AXKcQZVA0VR1gAYMBAYBgwEyUjwUGAYMBzQAMpivBWgDIwAdYCSgC5D5CPqAAWAI jAKMAGNgNGACmAJjgLHAOGA8MAEwA8wBC2AiYAlYAdaADTAJmAzYAnaAPeAAOAJOgDPgAkwB XAE3wB2YCkwDpgMewAzAE5gJeAHegA8wC/AF6MBswA/wB8hRlgBgDhAIMIG5BPrd0iCCHIsh CDYQAoQCYQAHCAe4QAQQCcwDooD5QDSwAIgBYoGFwC8Eyt+IAxYD8cASYCmQACwjUF7HCmAl sApIBJKA1cAaIBlYC6wD1hPUL+MSqcAGYCOQBmwCNgNbgHRgK5ABZALbgCwgG9gO7ABygFxg J4HySXYDe4C9wD5gP3AAOEigPJPDwBHgKIHyPMjf0T0O5BEo/+QkkA+cAk4DZ4CzwDkC5aUU AIXABeAicAm4DFwhUL7KVeAaUAxcB34FyB//vUGgPJZbwG9ACXAbuAPcBe4RKL/lPlAGlAMV QCUgAKoIlPfyAHgI1AC1wCPgMUD+pDeZD/MUqAeeAb8DfwDPgQYC5cm8BF4Br4E3wFvgHfCe QPkzTUAz8AH4CLQArUCb8OSXACQBKaAT0BnoAnQFugHSgAwgS+bgAPJAd6AHoAD0BHoBvQFF oA+gBCgDfQEVoB/QHxgAqAJqgDpAkyDzj9raBsHrYGAIMBQYBgwHNABNQAvQBkYAOsBIQBfQ A/QBA8AQGAUYAcbAaMAEMAXGAGOBccB4YAJgBpgDFsBEwBKwAqwBG2ASMBmwBewAe8ABcASc AGfABZgCuAJugDswFZgGTAc8gBmAJzAT8AK8AR9gFuAL0IHZgB/gDzCAAGAOEAgwgbkACwgC ggE2EAKEAmEABwgHuEAEEAnMA6KA+UA0sACIAWKBhcAvwCIgDlgMxANLgKVAArAMWA6sAFYC q4BEIAlYDawBkoG1wDqhHVPgNRXYAGwE0oBNwGbh+nR43QpkAJnANiALyBaub+nALuFyrH+f XOFOEgJ3Dhrc+djwyqHuGD8uJbhiiGdeKiTF+W9xvtEzoR4u2yc1n3xtH9Km7dOWcMfiwB+D qp0G989wmOb8cP394Ool/n5+ZJ8tEsKHF+p5xw1aEAx/dOq920I7AqBHONQSLtx/Q6j77bek AfWTxf1M/QNhh9KHaNoFyp9HvWNyiinsBSuY9qPahfrl+/VLCp/dfrR+UmRuJHr/Hev6uf4w +Sf6f71Y//8r9LP1/6v1d67//wBQSwECFAAUAAIACADnAHU21KL84H4PAAB2KgAAGwAAAAAA AAABACAAAAAAAAAAZHJhZnQtYWxleGFuLWRhdGFtb2QtMDAudHh0UEsBAhQAFAACAAgAQgF1 NoqyCvX6+QAAAFQDAA0AAAAAAAAAAAAAAAAAtw8AAGRtX2lldGY2OC5wcHRQSwUGAAAAAAIA AgCEAAAA3AkBAAAA --------------020107050005070700070008-- Received: from hermes.iu-bremen.de (hermes.iu-bremen.de [212.201.44.23]) by bierator.ibr.cs.tu-bs.de (8.13.4/8.13.4/Debian-3sarge3) with ESMTP id l2JDSG86012023 for ; Mon, 19 Mar 2007 14:28:21 +0100 Received: from localhost (demetrius.iu-bremen.de [212.201.44.32]) by hermes.iu-bremen.de (Postfix) with ESMTP id 4E6BE6DA25; Mon, 19 Mar 2007 14:28:16 +0100 (CET) Received: from hermes.iu-bremen.de ([212.201.44.23]) by localhost (demetrius.iu-bremen.de [212.201.44.32]) (amavisd-new, port 10024) with ESMTP id 13029-04; Mon, 19 Mar 2007 14:28:12 +0100 (CET) Received: from elstar.iuhb02.iu-bremen.de (elstar.iuhb02.iu-bremen.de [10.50.231.133]) by hermes.iu-bremen.de (Postfix) with ESMTP id 71E236DB37; Mon, 19 Mar 2007 14:28:12 +0100 (CET) Received: by elstar.iuhb02.iu-bremen.de (Postfix, from userid 501) id 40D321EFA80; Mon, 19 Mar 2007 14:28:11 +0100 (CET) Date: Mon, 19 Mar 2007 14:28:11 +0100 From: Juergen Schoenwaelder To: "Natale, Bob" Subject: Re: [OPS-AREA] RE: [nmrg] Re: Comments Question aboutdraft-xu-cops-push-00.txt Message-ID: <20070319132811.GA190@elstar.iuhb02.iu-bremen.de> Mail-Followup-To: "Natale, Bob" , "Durham, David" , xuheyuan , ops-nm@ietf.org, dongsun@alcatel-lucent.com, Hexian Huang , nmrg@ibr.cs.tu-bs.de, ops-area@ietf.org, Tina Tsou References: <20070315144631.GB17038@elstar.iuhb02.iu-bremen.de> <5389061B65D50446B1783B97DFDB392D04F32254@orsmsx411.amr.corp.intel.com> <4915F014FDD99049A9C3A8C1B832004F01B27009@IMCSRV2.MITRE.ORG> MIME-Version: 1.0 Content-Type: text/plain; charset=us-ascii Content-Disposition: inline In-Reply-To: <4915F014FDD99049A9C3A8C1B832004F01B27009@IMCSRV2.MITRE.ORG> User-Agent: Mutt/1.5.14 (2007-02-12) X-Virus-Scanned: amavisd-new 2.3.3 (20050822) at iu-bremen.de X-IBRFilter-SpamReport: 0.001 () BAYES_50 X-Scanned-By: MIMEDefang 2.51 on 134.169.34.9 Cc: xuheyuan , ops-nm@ietf.org, "Durham, David" , dongsun@alcatel-lucent.com, Tina Tsou , Hexian Huang , nmrg@ibr.cs.tu-bs.de, ops-area@ietf.org X-BeenThere: nmrg@ibr.cs.tu-bs.de X-Mailman-Version: 2.1.5 Precedence: list Reply-To: j.schoenwaelder@iu-bremen.de List-Id: Network Management Research Group List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Mon, 19 Mar 2007 13:28:24 -0000 On Mon, Mar 19, 2007 at 08:51:05AM -0400, Natale, Bob wrote: > [...] The mini-BOF will > propose a WG to determine the actual make-up of that "best fit" from > among a set of reasonable alternatives...a degree of "business > judgment" might not to be applied over and above technical analysis in > making a final determination, as many of the related standards and open > source reference projects are at early stages of maturation. I believe this approach is asking for endless discussions. I would very much prefer to see a critical number of people agreeing on a particular approach and committing themself to put energy into working out the details before a WG is being chartered. Well scoped WGs have a much better chance to complete in time (whatever that means in the IETF ;-). I had the pleasure to participate in a few WGs trying to formulate requirements before doing the actual work and this has always been a pain and if you ask me a waste of time. (There might be WGs where this requirements approach works well but then I did not have the pleasure to participate in those WGs - or it is because of my absence that it worked out well. ;-) /js -- Juergen Schoenwaelder Jacobs University Bremen P.O. Box 750 561, 28725 Bremen, Germany Received: from smtp-bedford.mitre.org (smtp-bedford.mitre.org [192.160.51.76]) by bierator.ibr.cs.tu-bs.de (8.13.4/8.13.4/Debian-3sarge3) with ESMTP id l2JCp9p5008621 for ; Mon, 19 Mar 2007 13:51:15 +0100 Received: from smtp-bedford.mitre.org (localhost.localdomain [127.0.0.1]) by smtp-bedford.mitre.org (8.12.11.20060308/8.12.11) with SMTP id l2JCp9A1019550 for ; Mon, 19 Mar 2007 08:51:09 -0400 Received: from smtp-bedford.mitre.org (localhost.localdomain [127.0.0.1]) by smtp-bedford.mitre.org (Postfix) with ESMTP id E48BCBEFB for ; Mon, 19 Mar 2007 08:51:08 -0400 (EDT) Received: from IMCFE1.MITRE.ORG (imcfe1.mitre.org [129.83.29.3]) by smtp-bedford.mitre.org (8.12.11.20060308/8.12.11) with ESMTP id l2JCp7rI019526; Mon, 19 Mar 2007 08:51:07 -0400 Received: from IMCSRV2.MITRE.ORG ([129.83.20.164]) by IMCFE1.MITRE.ORG with Microsoft SMTPSVC(6.0.3790.1830); Mon, 19 Mar 2007 08:51:07 -0400 X-MimeOLE: Produced By Microsoft Exchange V6.5 Content-class: urn:content-classes:message MIME-Version: 1.0 Content-Type: text/plain; charset="us-ascii" Subject: RE: [OPS-AREA] RE: [nmrg] Re: Comments Question aboutdraft-xu-cops-push-00.txt Date: Mon, 19 Mar 2007 08:51:05 -0400 Message-ID: <4915F014FDD99049A9C3A8C1B832004F01B27009@IMCSRV2.MITRE.ORG> In-Reply-To: <5389061B65D50446B1783B97DFDB392D04F32254@orsmsx411.amr.corp.intel.com> X-MS-Has-Attach: X-MS-TNEF-Correlator: Thread-Topic: [OPS-AREA] RE: [nmrg] Re: Comments Question aboutdraft-xu-cops-push-00.txt Thread-Index: AcdnEPJ9htFVWTZnQWGNuZ5QWTojMQB2VsdwAE5qlcA= References: <20070315144631.GB17038@elstar.iuhb02.iu-bremen.de> <5389061B65D50446B1783B97DFDB392D04F32254@orsmsx411.amr.corp.intel.com> From: "Natale, Bob" To: "Durham, David" , , "xuheyuan" X-OriginalArrivalTime: 19 Mar 2007 12:51:07.0478 (UTC) FILETIME=[430F9F60:01C76A25] X-IBRFilter-SpamReport: 0.001 () BAYES_50 X-Scanned-By: MIMEDefang 2.51 on 134.169.34.9 Content-Transfer-Encoding: 8bit X-MIME-Autoconverted: from quoted-printable to 8bit by bierator.ibr.cs.tu-bs.de id l2JCp9p5008621 X-Mailman-Approved-At: Sun, 25 Mar 2007 19:16:10 +0200 Cc: ops-nm@ietf.org, dongsun@alcatel-lucent.com, Hexian Huang , nmrg@ibr.cs.tu-bs.de, ops-area@ietf.org, Tina Tsou X-BeenThere: nmrg@ibr.cs.tu-bs.de X-Mailman-Version: 2.1.5 Precedence: list List-Id: Network Management Research Group List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Mon, 19 Mar 2007 12:51:38 -0000 Hi Dave, If I understand your position correctly, then the intent of the mini-BOF that I will brief is find the "best fit" means of making SNMP MIBs -- which, at least IMHO, represent the crown jewels of what the IETF O&M community has given to the practice of network management -- more directly accessible by SOA/WS management tools. The mini-BOF will propose a WG to determine the actual make-up of that "best fit" from among a set of reasonable alternatives...a degree of "business judgment" might not to be applied over and above technical analysis in making a final determination, as many of the related standards and open source reference projects are at early stages of maturation. This is more an exercise in standardizing a resource modeling methodology, as opposed to a new management protocol. Rushed, BobN -----Original Message----- From: Durham, David [mailto:david.durham@intel.com] Sent: Saturday, March 17, 2007 7:23 PM To: j.schoenwaelder@iu-bremen.de; xuheyuan Cc: ops-nm@ietf.org; dongsun@alcatel-lucent.com; Hexian Huang; nmrg@ibr.cs.tu-bs.de; ops-area@ietf.org; Tina Tsou Subject: [OPS-AREA] RE: [nmrg] Re: Comments Question aboutdraft-xu-cops-push-00.txt If the goal is to use XML, then why reinvent the wheel on webservices for management outside of the W3C and DMTF? SNMP, COPS, DIAMETER, NETCONF... Where does it end? Is there an RFC that does a thorough analysis of the alternatives (IETF's and other standards bodies' included) in terms of capabilities, latency, bandwidth, complexity, backward compatibility and other such quantitative metrics? If not, this might be a helpful activity as the mailing list discussions quickly become crystal ball gazing and philosophical in nature. Then folks can figure out if their requirements make a better fit for one protocol over another. -Dave > -----Original Message----- > From: nmrg-bounces@ibr.cs.tu-bs.de [mailto:nmrg-bounces@ibr.cs.tu-bs.de] > On Behalf Of Juergen Schoenwaelder > Sent: Thursday, March 15, 2007 7:47 AM > To: xuheyuan > Cc: Tina Tsou; ops-nm@ietf.org; dongsun@alcatel-lucent.com; Romascanu, Dan > (Dan); Hexian Huang; Tom-PT Taylor; nmrg@ibr.cs.tu-bs.de; ops- > area@ietf.org > Subject: [nmrg] Re: Comments Question about draft-xu-cops-push-00.txt > > On Thu, Mar 15, 2007 at 10:19:18PM +0800, xuheyuan wrote: > > > At that time the Re reference point, merged into Rw reference point > > later, controlled the IP edge, actually an IP-IP gateway. In the > > current network, most existing IP-IP gateways are routers, which > > support COPS already. In reality, using COPS is the quickest way to > > do that as described in approach 2 in this draft. > > I have routers that support NETCONF in my lab and no routers > supporting COPS-PR or COPS. Perhaps this is why our views of the > world are somewhat different. > > > COPS-PR by nature does policy control, Rw interface mainly does > > policy control dynamically, not just push configuration > > information. Besides, in 2005,NETCONF was a pretty new protocol, and > > few existing routers supported NETCONF. > > I never understood the distinction between configuration and policy > information when it comes to the device interface. The PDP is the > policy engine and what comes out of this engine as provisioning > information is for me not really distinct from configuration data > coming out of other systems (e.g. customer provisioning systems). > > I agree that NETCONF was pretty new in 2005 and it still is in 2007. > COPS-PR is older but as far as I can tell not too widely implemented > and the number of people within the IETF who do understand COPS-PR > well is like to be somewhat smaller than the number of people within > the IETF who understand NETCONF and my impression was that COPS-PR > awareness declines. > > > As RACF supports both fix and mobile, push and pull modes, in the > > real networking, PD-FE may possibly support both modes, and in pull > > modes, COPS is very effective, so, in push mode, if approach 2 COPS > > could be adopted, it will simplify the implementation. > > The implementation simplification is a relative thing (if you have > COPS, using COPS is simple, if you have NETCONF, using NETCONF is > simple). Not sure how to make a decision on this. > > Again, I like to see the discussion raised to the technical level to > first understand if NETCONF could do what you need it to do equally > well or whether there is any technical feature that really > distinguishes COPS-PR from NETCONF. > > /js > > -- > Juergen Schoenwaelder Jacobs University Bremen > P.O. Box 750 561, 28725 Bremen, > Germany > -- > !! This message is brought to you via the `nmrg' mailing list. > !! Please do not reply to this message to unsubscribe. To unsubscribe or > adjust > !! your settings, send a mail message to > !! or look at https://mail.ibr.cs.tu-bs.de/mailman/listinfo/nmrg. _______________________________________________ OPS-AREA mailing list OPS-AREA@ietf.org https://www1.ietf.org/mailman/listinfo/ops-area Received: from omr1.networksolutionsemail.com (omr1.networksolutionsemail.com [205.178.146.51]) by bierator.ibr.cs.tu-bs.de (8.13.4/8.13.4/Debian-3sarge3) with ESMTP id l2JA3F0w026486 for ; Mon, 19 Mar 2007 11:03:20 +0100 Received: from mail.networksolutionsemail.com (ns-omr1.mgt.netsol.com [10.49.6.64]) by omr1.networksolutionsemail.com (8.13.6/8.13.6) with SMTP id l2JA3Ec6026931 for ; Mon, 19 Mar 2007 06:03:14 -0400 Received: (qmail 27279 invoked by uid 78); 19 Mar 2007 10:03:14 -0000 Received: from unknown (HELO ?130.129.23.37?) (andy@andybierman.com@130.129.23.37) by ns-omr1.lb.hosting.dc2.netsol.com with SMTP; 19 Mar 2007 10:03:14 -0000 Message-ID: <45FE5FEA.3030703@andybierman.com> Date: Mon, 19 Mar 2007 03:03:22 -0700 From: Andy Bierman User-Agent: Thunderbird 1.5.0.10 (Windows/20070221) MIME-Version: 1.0 To: "Durham, David" Subject: Re: [OPS-AREA] RE: [nmrg] Re: Comments Question about draft-xu-cops-push-00.txt References: <5389061B65D50446B1783B97DFDB392D04F32254@orsmsx411.amr.corp.intel.com> In-Reply-To: <5389061B65D50446B1783B97DFDB392D04F32254@orsmsx411.amr.corp.intel.com> Content-Type: text/plain; charset=ISO-8859-1; format=flowed Content-Transfer-Encoding: 7bit X-IBRFilter-SpamReport: 0.001 () BAYES_50 X-Scanned-By: MIMEDefang 2.51 on 134.169.34.9 Cc: xuheyuan , ops-nm@ietf.org, j.schoenwaelder@iu-bremen.de, dongsun@alcatel-lucent.com, Tina Tsou , Hexian Huang , nmrg@ibr.cs.tu-bs.de, ops-area@ietf.org X-BeenThere: nmrg@ibr.cs.tu-bs.de X-Mailman-Version: 2.1.5 Precedence: list List-Id: Network Management Research Group List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Mon, 19 Mar 2007 10:03:23 -0000 Durham, David wrote: > If the goal is to use XML, then why reinvent the wheel on webservices > for management outside of the W3C and DMTF? > SNMP, COPS, DIAMETER, NETCONF... Where does it end? > I would assume it ends when vendors are given a reasonable solution that they can deploy in their products at a reasonable cost. NETCONF is designed to be an "evolution of the CLI", which can be integrated with the native CLI API relatively easily. Hopefully, the migration away from informally documented ad-hoc CLI with no structured error return codes, towards structured XML with standard operations and return codes, is enough to foster interoperability and improve tool automation. IMO, protocols which totally ignore the existence of the CLI based management, and rely on large amounts of new code and new data models for success, will never be adopted by the NE vendor community. Andy > Is there an RFC that does a thorough analysis of the alternatives > (IETF's and other standards bodies' included) in terms of capabilities, > latency, bandwidth, complexity, backward compatibility and other such > quantitative metrics? If not, this might be a helpful activity as the > mailing list discussions quickly become crystal ball gazing and > philosophical in nature. Then folks can figure out if their requirements > make a better fit for one protocol over another. > > -Dave > > >> -----Original Message----- >> From: nmrg-bounces@ibr.cs.tu-bs.de >> > [mailto:nmrg-bounces@ibr.cs.tu-bs.de] > >> On Behalf Of Juergen Schoenwaelder >> Sent: Thursday, March 15, 2007 7:47 AM >> To: xuheyuan >> Cc: Tina Tsou; ops-nm@ietf.org; dongsun@alcatel-lucent.com; Romascanu, >> > Dan > >> (Dan); Hexian Huang; Tom-PT Taylor; nmrg@ibr.cs.tu-bs.de; ops- >> area@ietf.org >> Subject: [nmrg] Re: Comments Question about draft-xu-cops-push-00.txt >> >> On Thu, Mar 15, 2007 at 10:19:18PM +0800, xuheyuan wrote: >> >> >>> At that time the Re reference point, merged into Rw reference point >>> later, controlled the IP edge, actually an IP-IP gateway. In the >>> current network, most existing IP-IP gateways are routers, which >>> support COPS already. In reality, using COPS is the quickest way to >>> do that as described in approach 2 in this draft. >>> >> I have routers that support NETCONF in my lab and no routers >> supporting COPS-PR or COPS. Perhaps this is why our views of the >> world are somewhat different. >> >> >>> COPS-PR by nature does policy control, Rw interface mainly does >>> policy control dynamically, not just push configuration >>> information. Besides, in 2005,NETCONF was a pretty new protocol, and >>> few existing routers supported NETCONF. >>> >> I never understood the distinction between configuration and policy >> information when it comes to the device interface. The PDP is the >> policy engine and what comes out of this engine as provisioning >> information is for me not really distinct from configuration data >> coming out of other systems (e.g. customer provisioning systems). >> >> I agree that NETCONF was pretty new in 2005 and it still is in 2007. >> COPS-PR is older but as far as I can tell not too widely implemented >> and the number of people within the IETF who do understand COPS-PR >> well is like to be somewhat smaller than the number of people within >> the IETF who understand NETCONF and my impression was that COPS-PR >> awareness declines. >> >> >>> As RACF supports both fix and mobile, push and pull modes, in the >>> real networking, PD-FE may possibly support both modes, and in pull >>> modes, COPS is very effective, so, in push mode, if approach 2 COPS >>> could be adopted, it will simplify the implementation. >>> >> The implementation simplification is a relative thing (if you have >> COPS, using COPS is simple, if you have NETCONF, using NETCONF is >> simple). Not sure how to make a decision on this. >> >> Again, I like to see the discussion raised to the technical level to >> first understand if NETCONF could do what you need it to do equally >> well or whether there is any technical feature that really >> distinguishes COPS-PR from NETCONF. >> >> /js >> >> -- >> Juergen Schoenwaelder Jacobs University Bremen >> P.O. Box 750 561, 28725 Bremen, >> Germany >> -- >> !! This message is brought to you via the `nmrg' mailing list. >> !! Please do not reply to this message to unsubscribe. To unsubscribe >> > or > >> adjust >> !! your settings, send a mail message to >> > > >> !! or look at https://mail.ibr.cs.tu-bs.de/mailman/listinfo/nmrg. >> > > _______________________________________________ > OPS-AREA mailing list > OPS-AREA@ietf.org > https://www1.ietf.org/mailman/listinfo/ops-area > > > Received: from slepton.muonics.com (muonics.com [66.92.223.18]) by bierator.ibr.cs.tu-bs.de (8.13.4/8.13.4/Debian-3sarge3) with ESMTP id l2INAhDD015756 (version=TLSv1/SSLv3 cipher=DHE-RSA-AES256-SHA bits=256 verify=NOT) for ; Mon, 19 Mar 2007 00:11:10 +0100 Received-SPF: Received-SPF: pass (slepton.muonics.com: domain of mikek@muonics.com designates 66.92.223.18 as permitted sender) receiver=slepton.muonics.com; client_ip=66.92.223.18; envelope-from=mikek@muonics.com; Received: from muonics.com (muonics.com [66.92.223.18]) by slepton.muonics.com (8.13.4/8.13.4) with ESMTP id l2IN2n8B031262; Sun, 18 Mar 2007 16:02:50 -0700 (PDT) Date: Sun, 18 Mar 2007 16:02:44 -0700 (PDT) From: Michael Kirkham To: "Romascanu, Dan (Dan)" In-Reply-To: Message-ID: References: MIME-Version: 1.0 Content-Type: TEXT/PLAIN; charset=US-ASCII; format=flowed X-IBRFilter-SpamReport: -1.096 () BAYES_40 X-Scanned-By: MIMEDefang 2.51 on 134.169.34.9 X-Mailman-Approved-At: Sun, 25 Mar 2007 19:15:18 +0200 Cc: ops-nm@ietf.org, aaa-doctors@ietf.org, "MIB Doctors \(E-mail\)" , IETF MIBs , iesg@ietf.org, nmrg@ibr.cs.tu-bs.de, ops-area@ietf.org Subject: [nmrg] Re: [IETFMIBS] Updated OPS Area meetings agenda X-BeenThere: nmrg@ibr.cs.tu-bs.de X-Mailman-Version: 2.1.5 Precedence: list List-Id: Network Management Research Group List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Sun, 18 Mar 2007 23:11:13 -0000 With regard to the MIB and XML stuff on the agenda, I would like to point out: http://www.muonics.com/XMLSMI/Schema/XML-SMI-2.1.xsd And examples: http://www.muonics.com/XMLSMI/samples/rfc3411.xml http://www.muonics.com/XMLSMI/samples/rfc3418.xml http://www.muonics.com/XMLSMI/samples/rfc2578.xml http://www.muonics.com/XMLSMI/samples/rfc2579.xml -- Michael Kirkham President & CEO Muonics, Inc. http://www.muonics.com/ On Sun, 18 Mar 2007, Romascanu, Dan (Dan) wrote: > Date: Sun, 18 Mar 2007 17:35:07 +0200 > From: "Romascanu, Dan (Dan)" > To: ops-area@ietf.org, ops-nm@ietf.org, > "MIB Doctors (E-mail)" , > IETF MIBs , aaa-doctors@ietf.org, > nmrg@ibr.cs.tu-bs.de > Cc: iesg@ietf.org > Subject: [IETFMIBS] Updated OPS Area meetings agenda > > > > An updated version of the agenda of the OPS area open meetings is > available at http://www3.ietf.org/proceedings/07mar/agenda/opsarea.txt. > > See you all there on Monday and Wednesday. > > David, Dan and Ron > > > > > > _______________________________________________ > IETFMIBS mailing list > IETFMIBS@lists.ietf.org > https://www1.ietf.org/mailman/listinfo/ietfmibs > Received: from nj300815-nj-outbound.avaya.com (nj300815-nj-outbound.net.avaya.com [198.152.12.100]) by bierator.ibr.cs.tu-bs.de (8.13.4/8.13.4/Debian-3sarge3) with ESMTP id l2IFZT6Y014308 for ; Sun, 18 Mar 2007 16:35:35 +0100 Received: from 51.105.64.135.in-addr.arpa (HELO IS0004AVEXU1.global.avaya.com) ([135.64.105.51]) by nj300815-nj-outbound.avaya.com with ESMTP; 18 Mar 2007 11:35:14 -0400 X-IronPort-AV: i="4.14,297,1170651600"; d="scan'208"; a="58418153:sNHT13355755" X-MimeOLE: Produced By Microsoft Exchange V6.0.6603.0 content-class: urn:content-classes:message MIME-Version: 1.0 Content-Type: text/plain; charset="us-ascii" Date: Sun, 18 Mar 2007 17:35:07 +0200 Message-ID: X-MS-Has-Attach: X-MS-TNEF-Correlator: Thread-Topic: Updated OPS Area meetings agenda Thread-Index: AcdpcwDlTZR8Ai01RWy8CX78VOlvuw== From: "Romascanu, Dan \(Dan\)" To: , , "MIB Doctors \(E-mail\)" , "IETF MIBs" , , X-IBRFilter-SpamReport: 0.001 () BAYES_50 X-Scanned-By: MIMEDefang 2.51 on 134.169.34.9 Content-Transfer-Encoding: 8bit X-MIME-Autoconverted: from quoted-printable to 8bit by bierator.ibr.cs.tu-bs.de id l2IFZT6Y014308 Cc: iesg@ietf.org Subject: [nmrg] Updated OPS Area meetings agenda X-BeenThere: nmrg@ibr.cs.tu-bs.de X-Mailman-Version: 2.1.5 Precedence: list List-Id: Network Management Research Group List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Sun, 18 Mar 2007 15:35:37 -0000 An updated version of the agenda of the OPS area open meetings is available at http://www3.ietf.org/proceedings/07mar/agenda/opsarea.txt. See you all there on Monday and Wednesday. David, Dan and Ron Received: from mga03.intel.com (mga03.intel.com [143.182.124.21]) by bierator.ibr.cs.tu-bs.de (8.13.4/8.13.4/Debian-3sarge3) with ESMTP id l2HNNH1m022080 for ; Sun, 18 Mar 2007 00:23:23 +0100 Received: from azsmga001.ch.intel.com ([10.2.17.19]) by mga03.intel.com with ESMTP; 17 Mar 2007 16:23:11 -0700 Received: from orsmsx334.jf.intel.com ([10.22.226.45]) by azsmga001.ch.intel.com with ESMTP; 17 Mar 2007 16:23:10 -0700 X-ExtLoop1: 1 X-IronPort-AV: i="4.14,296,1170662400"; d="scan'208"; a="198154982:sNHT21114233" Received: from orsmsx411.amr.corp.intel.com ([10.22.226.47]) by orsmsx334.jf.intel.com with Microsoft SMTPSVC(6.0.3790.1830); Sat, 17 Mar 2007 16:23:10 -0700 X-MimeOLE: Produced By Microsoft Exchange V6.5 Content-class: urn:content-classes:message MIME-Version: 1.0 Content-Type: text/plain; charset="US-ASCII" Subject: RE: [nmrg] Re: Comments Question about draft-xu-cops-push-00.txt Date: Sat, 17 Mar 2007 16:23:10 -0700 Message-ID: <5389061B65D50446B1783B97DFDB392D04F32254@orsmsx411.amr.corp.intel.com> In-Reply-To: <20070315144631.GB17038@elstar.iuhb02.iu-bremen.de> X-MS-Has-Attach: X-MS-TNEF-Correlator: Thread-Topic: [nmrg] Re: Comments Question about draft-xu-cops-push-00.txt Thread-Index: AcdnEPJ9htFVWTZnQWGNuZ5QWTojMQB2Vsdw From: "Durham, David" To: , "xuheyuan" X-OriginalArrivalTime: 17 Mar 2007 23:23:10.0285 (UTC) FILETIME=[39FD3FD0:01C768EB] X-IBRFilter-SpamReport: 0.001 () BAYES_50 X-Scanned-By: MIMEDefang 2.51 on 134.169.34.9 Content-Transfer-Encoding: 8bit X-MIME-Autoconverted: from quoted-printable to 8bit by bierator.ibr.cs.tu-bs.de id l2HNNH1m022080 X-Mailman-Approved-At: Sun, 25 Mar 2007 19:12:31 +0200 Cc: ops-nm@ietf.org, dongsun@alcatel-lucent.com, "Romascanu, Dan \(Dan\)" , Hexian Huang , Tom-PT Taylor , nmrg@ibr.cs.tu-bs.de, ops-area@ietf.org, Tina Tsou X-BeenThere: nmrg@ibr.cs.tu-bs.de X-Mailman-Version: 2.1.5 Precedence: list List-Id: Network Management Research Group List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Sat, 17 Mar 2007 23:23:30 -0000 If the goal is to use XML, then why reinvent the wheel on webservices for management outside of the W3C and DMTF? SNMP, COPS, DIAMETER, NETCONF... Where does it end? Is there an RFC that does a thorough analysis of the alternatives (IETF's and other standards bodies' included) in terms of capabilities, latency, bandwidth, complexity, backward compatibility and other such quantitative metrics? If not, this might be a helpful activity as the mailing list discussions quickly become crystal ball gazing and philosophical in nature. Then folks can figure out if their requirements make a better fit for one protocol over another. -Dave > -----Original Message----- > From: nmrg-bounces@ibr.cs.tu-bs.de [mailto:nmrg-bounces@ibr.cs.tu-bs.de] > On Behalf Of Juergen Schoenwaelder > Sent: Thursday, March 15, 2007 7:47 AM > To: xuheyuan > Cc: Tina Tsou; ops-nm@ietf.org; dongsun@alcatel-lucent.com; Romascanu, Dan > (Dan); Hexian Huang; Tom-PT Taylor; nmrg@ibr.cs.tu-bs.de; ops- > area@ietf.org > Subject: [nmrg] Re: Comments Question about draft-xu-cops-push-00.txt > > On Thu, Mar 15, 2007 at 10:19:18PM +0800, xuheyuan wrote: > > > At that time the Re reference point, merged into Rw reference point > > later, controlled the IP edge, actually an IP-IP gateway. In the > > current network, most existing IP-IP gateways are routers, which > > support COPS already. In reality, using COPS is the quickest way to > > do that as described in approach 2 in this draft. > > I have routers that support NETCONF in my lab and no routers > supporting COPS-PR or COPS. Perhaps this is why our views of the > world are somewhat different. > > > COPS-PR by nature does policy control, Rw interface mainly does > > policy control dynamically, not just push configuration > > information. Besides, in 2005,NETCONF was a pretty new protocol, and > > few existing routers supported NETCONF. > > I never understood the distinction between configuration and policy > information when it comes to the device interface. The PDP is the > policy engine and what comes out of this engine as provisioning > information is for me not really distinct from configuration data > coming out of other systems (e.g. customer provisioning systems). > > I agree that NETCONF was pretty new in 2005 and it still is in 2007. > COPS-PR is older but as far as I can tell not too widely implemented > and the number of people within the IETF who do understand COPS-PR > well is like to be somewhat smaller than the number of people within > the IETF who understand NETCONF and my impression was that COPS-PR > awareness declines. > > > As RACF supports both fix and mobile, push and pull modes, in the > > real networking, PD-FE may possibly support both modes, and in pull > > modes, COPS is very effective, so, in push mode, if approach 2 COPS > > could be adopted, it will simplify the implementation. > > The implementation simplification is a relative thing (if you have > COPS, using COPS is simple, if you have NETCONF, using NETCONF is > simple). Not sure how to make a decision on this. > > Again, I like to see the discussion raised to the technical level to > first understand if NETCONF could do what you need it to do equally > well or whether there is any technical feature that really > distinguishes COPS-PR from NETCONF. > > /js > > -- > Juergen Schoenwaelder Jacobs University Bremen > P.O. Box 750 561, 28725 Bremen, > Germany > -- > !! This message is brought to you via the `nmrg' mailing list. > !! Please do not reply to this message to unsubscribe. To unsubscribe or > adjust > !! your settings, send a mail message to > !! or look at https://mail.ibr.cs.tu-bs.de/mailman/listinfo/nmrg. Received: from smtp-bedford.mitre.org (smtpproxy1.mitre.org [192.160.51.76]) by bierator.ibr.cs.tu-bs.de (8.13.4/8.13.4/Debian-3sarge3) with ESMTP id l2FFkk6h014956 for ; Thu, 15 Mar 2007 16:46:52 +0100 Received: from smtp-bedford.mitre.org (localhost.localdomain [127.0.0.1]) by smtp-bedford.mitre.org (8.12.11.20060308/8.12.11) with SMTP id l2FFkjUR026874 for ; Thu, 15 Mar 2007 11:46:45 -0400 Received: from smtp-bedford.mitre.org (localhost.localdomain [127.0.0.1]) by smtp-bedford.mitre.org (Postfix) with ESMTP id BD0DFBF01 for ; Thu, 15 Mar 2007 11:46:45 -0400 (EDT) Received: from imcfe2.MITRE.ORG (imcfe2.mitre.org [129.83.29.4]) by smtp-bedford.mitre.org (8.12.11.20060308/8.12.11) with ESMTP id l2FFkjq1026862; Thu, 15 Mar 2007 11:46:45 -0400 Received: from IMCSRV2.MITRE.ORG ([129.83.20.164]) by imcfe2.MITRE.ORG with Microsoft SMTPSVC(6.0.3790.1830); Thu, 15 Mar 2007 11:46:45 -0400 X-MimeOLE: Produced By Microsoft Exchange V6.5 Content-class: urn:content-classes:message MIME-Version: 1.0 Content-Type: text/plain; charset="us-ascii" Date: Thu, 15 Mar 2007 11:46:41 -0400 Message-ID: <4915F014FDD99049A9C3A8C1B832004F01B26C9F@IMCSRV2.MITRE.ORG> In-Reply-To: X-MS-Has-Attach: X-MS-TNEF-Correlator: Thread-Topic: [IETFMIBS] comments on draft-natale-snmp-mibs-to-ontology-00 Thread-Index: Acdmf8yhFcRJc4bZSOC+aGn/xaC/NwAluM2g References: From: "Natale, Bob" To: "Romascanu, Dan (Dan)" X-OriginalArrivalTime: 15 Mar 2007 15:46:45.0402 (UTC) FILETIME=[228037A0:01C76719] X-IBRFilter-SpamReport: 0.001 () BAYES_50 X-Scanned-By: MIMEDefang 2.51 on 134.169.34.9 Content-Transfer-Encoding: 8bit X-MIME-Autoconverted: from quoted-printable to 8bit by bierator.ibr.cs.tu-bs.de id l2FFkk6h014956 X-Mailman-Approved-At: Sat, 17 Mar 2007 19:13:37 +0100 Cc: ngo@ietf.org, ops-nm@ietf.org, "Netconf \(E-mail\)" , "MIB Doctors \(E-mail\)" , IETF MIBs , nmrg@ibr.cs.tu-bs.de, ops-area@ietf.org Subject: [nmrg] RE: [IETFMIBS] comments on draft-natale-snmp-mibs-to-ontology-00 X-BeenThere: nmrg@ibr.cs.tu-bs.de X-Mailman-Version: 2.1.5 Precedence: list List-Id: Network Management Research Group List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Thu, 15 Mar 2007 15:47:00 -0000 Hi Dan, You are correct in your perception that the proposed work *might* not be appropriate for an IETF WG, esp. according to our traditional objectives. It is a proposal, in part, to move us more directly into a broader interpretation of the relevance of core IETF O&M work (as represented by MIBs in particular). On the other hand, it might also be seen as an extension of the MIB to XML work, NETCONF, XCAP, and possibly others. I will try to make that case during the BOF. To answer your specific points: 1. I will provide more concrete explanations during the presentation (and plan to post an updated Draft prior to the session...will e-mail the link when it is ready). But note that I do not claim to be an expert in the set of SOA/WS mgmt related technologies that need to be considered...I have a growing degree of familiarity with what seem to be the key ones, but explicitly need the collective community expertise of interested parties to make firm commitments to an optimal subset. 2. Yes, "ontology" was used simply as a placeholder for the outputs of the conversion process. Since then I have been able to learn a bit more, and get helpful feedback from some key SOA/WS mgmt developers, so I can definitely narrow things down better for the BOF. I strongly doubt that we will be targeting ontologies as the outputs of the conversion process at this time. To give a preview, it is more likely that resource models expressed as SML-IF documents better reflects the kind(s) of things we would want the conversion process to produce. (But see note above about need for community expertise to reach such conclusions.) 3. Yes, there was no intent to suggest that the WG (if approved) would produce any tools. Rather, the primary objective is to define the specific rules for converting SNMP MIBs to SOA/WS mgmt artifacts. I firmly believe that such a set of rules is essential to both the user and the developer mgmt communities and that the IETF is the right body to specify such rules. So, it is the conversion methodology itself -- not the tools that might use the methodology -- that I am asking the IETF O&M area to standardize. (Indeed, there are some open source tools/projects that we might be able to leverage both to guide this work efficiently and to test the methodology effectively via existing tools along the way ... Some examples are the Eclipse COSMOS and Apache Muse projects ... About which I will provide more details in the updated Draft and at the BOF.) Also, Juergen raised some specific questions in a (much) earlier posting, and I will address those directly in the BOF presentation as well. Cheers, BobN -----Original Message----- From: Romascanu, Dan (Dan) [mailto:dromasca@avaya.com] Sent: Wednesday, March 14, 2007 5:29 PM To: ops-area@ietf.org; ops-nm@ietf.org; IETF MIBs; MIB Doctors (E-mail); nmrg@ibr.cs.tu-bs.de; Netconf (E-mail); ngo@ietf.org Subject: [IETFMIBS] comments on draft-natale-snmp-mibs-to-ontology-00 I have a few comments related to the proposals in draft-natale-snmp-mibs-to-ontology-00. While I appreciate the problem space and recognize its importance, it is far from clear to me how this work could be structured in a future Working Group in the OPS Area. In order to help the discussions in Prague I would make the following observations: 1. The document relates to SOA-based/Web services management. These concepts are quite broad, and it would be useful for the seek of the discussions in Prague if Bob could provide a reference (or more but not many) that points to what he had in mind when using this terms in the document 2. The term ontology that is being used here to describe the results of the conversion process is broad, and defined by a few examples in the text. We should probably discuss rather sooner which of the output formats that would be dealt with by a future IETF activity 3. Defining data conversion tools and validation tools is something that has not been done yet in the IETF, to the best of my knowledge. They are however defined as 'primary outputs' for this effort. As I am not sure that I understand how the future IETF documents would look like, I would suggest that we make some more concrete proposals, maybe examples that other have issued in this space. Dan _______________________________________________ IETFMIBS mailing list IETFMIBS@lists.ietf.org https://www1.ietf.org/mailman/listinfo/ietfmibs Received: from hermes.iu-bremen.de (hermes.iu-bremen.de [212.201.44.23]) by bierator.ibr.cs.tu-bs.de (8.13.4/8.13.4/Debian-3sarge3) with ESMTP id l2FEkb5n027856 for ; Thu, 15 Mar 2007 15:46:42 +0100 Received: from localhost (demetrius.iu-bremen.de [212.201.44.32]) by hermes.iu-bremen.de (Postfix) with ESMTP id DAADE6DE29; Thu, 15 Mar 2007 15:46:36 +0100 (CET) Received: from hermes.iu-bremen.de ([212.201.44.23]) by localhost (demetrius.iu-bremen.de [212.201.44.32]) (amavisd-new, port 10024) with ESMTP id 14450-05; Thu, 15 Mar 2007 15:46:33 +0100 (CET) Received: from elstar.iuhb02.iu-bremen.de (elstar.iuhb02.iu-bremen.de [10.50.231.133]) by hermes.iu-bremen.de (Postfix) with ESMTP id 8F5A96DAA3; Thu, 15 Mar 2007 15:46:32 +0100 (CET) Received: by elstar.iuhb02.iu-bremen.de (Postfix, from userid 501) id 6DC3D1DCC0E; Thu, 15 Mar 2007 15:46:31 +0100 (CET) Date: Thu, 15 Mar 2007 15:46:31 +0100 From: Juergen Schoenwaelder To: xuheyuan Message-ID: <20070315144631.GB17038@elstar.iuhb02.iu-bremen.de> Mail-Followup-To: xuheyuan , Tom-PT Taylor , "Romascanu, Dan (Dan)" , ops-nm@ietf.org, dongsun@alcatel-lucent.com, Hexian Huang , nmrg@ibr.cs.tu-bs.de, ops-area@ietf.org, Tina Tsou References: <45F70371.4010500@nortel.com> <20070315072441.GC15768@elstar.iuhb02.iu-bremen.de> <004c01c7670c$eb8a8220$eb29fea9@xuheyuan> MIME-Version: 1.0 Content-Type: text/plain; charset=us-ascii Content-Disposition: inline In-Reply-To: <004c01c7670c$eb8a8220$eb29fea9@xuheyuan> User-Agent: Mutt/1.5.14 (2007-02-12) X-Virus-Scanned: amavisd-new 2.3.3 (20050822) at iu-bremen.de X-IBRFilter-SpamReport: 0.001 () BAYES_50 X-Scanned-By: MIMEDefang 2.51 on 134.169.34.9 Cc: Tina Tsou , ops-nm@ietf.org, dongsun@alcatel-lucent.com, "Romascanu, Dan \(Dan\)" , Hexian Huang , Tom-PT Taylor , nmrg@ibr.cs.tu-bs.de, ops-area@ietf.org Subject: [nmrg] Re: Comments Question about draft-xu-cops-push-00.txt X-BeenThere: nmrg@ibr.cs.tu-bs.de X-Mailman-Version: 2.1.5 Precedence: list Reply-To: j.schoenwaelder@iu-bremen.de List-Id: Network Management Research Group List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Thu, 15 Mar 2007 14:46:47 -0000 On Thu, Mar 15, 2007 at 10:19:18PM +0800, xuheyuan wrote: > At that time the Re reference point, merged into Rw reference point > later, controlled the IP edge, actually an IP-IP gateway. In the > current network, most existing IP-IP gateways are routers, which > support COPS already. In reality, using COPS is the quickest way to > do that as described in approach 2 in this draft. I have routers that support NETCONF in my lab and no routers supporting COPS-PR or COPS. Perhaps this is why our views of the world are somewhat different. > COPS-PR by nature does policy control, Rw interface mainly does > policy control dynamically, not just push configuration > information. Besides, in 2005,NETCONF was a pretty new protocol, and > few existing routers supported NETCONF. I never understood the distinction between configuration and policy information when it comes to the device interface. The PDP is the policy engine and what comes out of this engine as provisioning information is for me not really distinct from configuration data coming out of other systems (e.g. customer provisioning systems). I agree that NETCONF was pretty new in 2005 and it still is in 2007. COPS-PR is older but as far as I can tell not too widely implemented and the number of people within the IETF who do understand COPS-PR well is like to be somewhat smaller than the number of people within the IETF who understand NETCONF and my impression was that COPS-PR awareness declines. > As RACF supports both fix and mobile, push and pull modes, in the > real networking, PD-FE may possibly support both modes, and in pull > modes, COPS is very effective, so, in push mode, if approach 2 COPS > could be adopted, it will simplify the implementation. The implementation simplification is a relative thing (if you have COPS, using COPS is simple, if you have NETCONF, using NETCONF is simple). Not sure how to make a decision on this. Again, I like to see the discussion raised to the technical level to first understand if NETCONF could do what you need it to do equally well or whether there is any technical feature that really distinguishes COPS-PR from NETCONF. /js -- Juergen Schoenwaelder Jacobs University Bremen P.O. Box 750 561, 28725 Bremen, Germany Received: from nj300815-ier2.net.avaya.com (nj300815-ier2.net.avaya.com [198.152.12.103]) by bierator.ibr.cs.tu-bs.de (8.13.4/8.13.4/Debian-3sarge3) with ESMTP id l2FECdpm024959 (version=TLSv1/SSLv3 cipher=EDH-RSA-DES-CBC3-SHA bits=168 verify=NOT) for ; Thu, 15 Mar 2007 15:12:45 +0100 Received: from IS0004AVEXU1.global.avaya.com (h135-64-105-51.avaya.com [135.64.105.51]) by nj300815-ier2.net.avaya.com (Switch-3.1.8/Switch-3.1.7) with ESMTP id l2FECbUJ006268 for ; Thu, 15 Mar 2007 10:12:38 -0400 X-MimeOLE: Produced By Microsoft Exchange V6.0.6603.0 content-class: urn:content-classes:message MIME-Version: 1.0 Content-Type: text/plain; charset="us-ascii" Date: Thu, 15 Mar 2007 16:12:37 +0200 Message-ID: X-MS-Has-Attach: X-MS-TNEF-Correlator: Thread-Topic: [OPS-AREA] Open Office Hours Thread-Index: AcdmuKJ2FxYwcDcCSJOTVtZAbi37yQAU0QMQ From: "Romascanu, Dan \(Dan\)" To: "MIB Doctors \(E-mail\)" , , , X-Scanner: InterScan AntiVirus for Sendmail X-IBRFilter-SpamReport: 0.001 () BAYES_50 X-Scanned-By: MIMEDefang 2.51 on 134.169.34.9 Content-Transfer-Encoding: 8bit X-MIME-Autoconverted: from quoted-printable to 8bit by bierator.ibr.cs.tu-bs.de id l2FECdpm024959 Cc: iesg@ietf.org Subject: [nmrg] FW: [OPS-AREA] Open Office Hours X-BeenThere: nmrg@ibr.cs.tu-bs.de X-Mailman-Version: 2.1.5 Precedence: list List-Id: Network Management Research Group List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Thu, 15 Mar 2007 14:12:52 -0000 -----Original Message----- From: David Kessens [mailto:david.kessens@nokia.com] Sent: Thursday, March 15, 2007 6:12 AM To: Operations and Management Area Subject: [OPS-AREA] Open Office Hours We would like to let you know that the Operations and Management Area Directors have decided to hold Open Office hours again during this IETF. Feel free to step by to discuss any IETF related issue or to meet Ron Bonica who will take over David Kessens role after this IETF. See below for the logistics information: Date: Tue, March 20 Time: 15.00-17.20 Location: Rokoska Date: Wed, March 21 Time: 16.10-17.00 Location: Rokoska Date: Thu, March 22 Time: 16.10-17.00 Location: Rokoska (most up to date information is always on the wiki at: http://www1.tools.ietf.org/area/ops/trac/wiki) David & Dan --- _______________________________________________ OPS-AREA mailing list OPS-AREA@ietf.org https://www1.ietf.org/mailman/listinfo/ops-area Received: from hermes.iu-bremen.de (hermes.iu-bremen.de [212.201.44.23]) by bierator.ibr.cs.tu-bs.de (8.13.4/8.13.4/Debian-3sarge3) with ESMTP id l2F7OkfV016676 for ; Thu, 15 Mar 2007 08:24:51 +0100 Received: from localhost (demetrius.iu-bremen.de [212.201.44.32]) by hermes.iu-bremen.de (Postfix) with ESMTP id 1D84F6DDAE; Thu, 15 Mar 2007 08:24:46 +0100 (CET) Received: from hermes.iu-bremen.de ([212.201.44.23]) by localhost (demetrius.iu-bremen.de [212.201.44.32]) (amavisd-new, port 10024) with ESMTP id 31664-06; Thu, 15 Mar 2007 08:24:42 +0100 (CET) Received: from elstar.iuhb02.iu-bremen.de (elstar.iuhb02.iu-bremen.de [10.50.231.133]) by hermes.iu-bremen.de (Postfix) with ESMTP id 758526DD9E; Thu, 15 Mar 2007 08:24:42 +0100 (CET) Received: by elstar.iuhb02.iu-bremen.de (Postfix, from userid 501) id 6CFF61DC06D; Thu, 15 Mar 2007 08:24:41 +0100 (CET) Date: Thu, 15 Mar 2007 08:24:41 +0100 From: Juergen Schoenwaelder To: Tom-PT Taylor Subject: Re: [nmrg] Re: [OPS-AREA] Question about draft-xu-cops-push-00.txt Message-ID: <20070315072441.GC15768@elstar.iuhb02.iu-bremen.de> Mail-Followup-To: Tom-PT Taylor , "Romascanu, Dan (Dan)" , Heyuan Xu , ops-nm@ietf.org, dongsun@alcatel-lucent.com, Hexian Huang , nmrg@ibr.cs.tu-bs.de, ops-area@ietf.org, Tina Tsou References: <45F70371.4010500@nortel.com> MIME-Version: 1.0 Content-Type: text/plain; charset=us-ascii Content-Disposition: inline In-Reply-To: <45F70371.4010500@nortel.com> User-Agent: Mutt/1.5.14 (2007-02-12) X-Virus-Scanned: amavisd-new 2.3.3 (20050822) at iu-bremen.de X-IBRFilter-SpamReport: -1.951 () BAYES_20 X-Scanned-By: MIMEDefang 2.51 on 134.169.34.9 Cc: Heyuan Xu , ops-nm@ietf.org, dongsun@alcatel-lucent.com, Tina Tsou , "Romascanu, Dan \(Dan\)" , Hexian Huang , nmrg@ibr.cs.tu-bs.de, ops-area@ietf.org X-BeenThere: nmrg@ibr.cs.tu-bs.de X-Mailman-Version: 2.1.5 Precedence: list Reply-To: j.schoenwaelder@iu-bremen.de List-Id: Network Management Research Group List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Thu, 15 Mar 2007 07:24:53 -0000 On Tue, Mar 13, 2007 at 04:02:57PM -0400, Tom-PT Taylor wrote: > My co-authors can better explain the choice of COPS. So can one of your co-authors please speak up and address Dan's question in technical terms? In particular, I like to know what you consider the essential technical features making COPS-PR more desirable than other protocols to push configuration information (like NETCONF) that seem to have gained more community support during the last few years (at least in the IETF). /js -- Juergen Schoenwaelder Jacobs University Bremen P.O. Box 750 561, 28725 Bremen, Germany Received: from co300216-ier2.net.avaya.com (co300216-ier2.net.avaya.com [198.152.13.103]) by bierator.ibr.cs.tu-bs.de (8.13.4/8.13.4/Debian-3sarge3) with ESMTP id l2ELTDMD005949 (version=TLSv1/SSLv3 cipher=EDH-RSA-DES-CBC3-SHA bits=168 verify=NOT) for ; Wed, 14 Mar 2007 22:29:20 +0100 Received: from IS0004AVEXU1.global.avaya.com (h135-64-105-51.avaya.com [135.64.105.51]) by co300216-ier2.net.avaya.com (Switch-3.1.8/Switch-3.1.7) with ESMTP id l2ELTAVH005452 for ; Wed, 14 Mar 2007 17:29:12 -0400 X-MimeOLE: Produced By Microsoft Exchange V6.0.6603.0 content-class: urn:content-classes:message MIME-Version: 1.0 Content-Type: text/plain; charset="us-ascii" Date: Wed, 14 Mar 2007 23:29:10 +0200 Message-ID: X-MS-Has-Attach: X-MS-TNEF-Correlator: Thread-Topic: comments on draft-natale-snmp-mibs-to-ontology-00 Thread-Index: Acdmf8yhFcRJc4bZSOC+aGn/xaC/Nw== From: "Romascanu, Dan \(Dan\)" To: , , "IETF MIBs" , "MIB Doctors \(E-mail\)" , , "Netconf \(E-mail\)" , X-Scanner: InterScan AntiVirus for Sendmail X-IBRFilter-SpamReport: 1 (*) BAYES_60 X-Scanned-By: MIMEDefang 2.51 on 134.169.34.9 Content-Transfer-Encoding: 8bit X-MIME-Autoconverted: from quoted-printable to 8bit by bierator.ibr.cs.tu-bs.de id l2ELTDMD005949 Subject: [nmrg] comments on draft-natale-snmp-mibs-to-ontology-00 X-BeenThere: nmrg@ibr.cs.tu-bs.de X-Mailman-Version: 2.1.5 Precedence: list List-Id: Network Management Research Group List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Wed, 14 Mar 2007 21:29:24 -0000 I have a few comments related to the proposals in draft-natale-snmp-mibs-to-ontology-00. While I appreciate the problem space and recognize its importance, it is far from clear to me how this work could be structured in a future Working Group in the OPS Area. In order to help the discussions in Prague I would make the following observations: 1. The document relates to SOA-based/Web services management. These concepts are quite broad, and it would be useful for the seek of the discussions in Prague if Bob could provide a reference (or more but not many) that points to what he had in mind when using this terms in the document 2. The term ontology that is being used here to describe the results of the conversion process is broad, and defined by a few examples in the text. We should probably discuss rather sooner which of the output formats that would be dealt with by a future IETF activity 3. Defining data conversion tools and validation tools is something that has not been done yet in the IETF, to the best of my knowledge. They are however defined as 'primary outputs' for this effort. As I am not sure that I understand how the future IETF documents would look like, I would suggest that we make some more concrete proposals, maybe examples that other have issued in this space. Dan Received: from zrtps0kn.nortel.com (zrtps0kn.nortel.com [47.140.192.55]) by bierator.ibr.cs.tu-bs.de (8.13.4/8.13.4/Debian-3sarge3) with ESMTP id l2DK3jQk032188 (version=TLSv1/SSLv3 cipher=EDH-RSA-DES-CBC3-SHA bits=168 verify=NOT) for ; Tue, 13 Mar 2007 21:03:51 +0100 Received: from zcarhxs1.corp.nortel.com (zcarhxs1.corp.nortel.com [47.129.230.89]) by zrtps0kn.nortel.com (Switch-2.2.6/Switch-2.2.0) with ESMTP id l2DK3aa16312; Tue, 13 Mar 2007 20:03:36 GMT Received: from [47.130.25.66] ([47.130.25.66] RDNS failed) by zcarhxs1.corp.nortel.com with Microsoft SMTPSVC(6.0.3790.1830); Tue, 13 Mar 2007 16:03:35 -0400 Message-ID: <45F70371.4010500@nortel.com> Date: Tue, 13 Mar 2007 16:02:57 -0400 From: "Tom-PT Taylor" User-Agent: Thunderbird 1.5.0.10 (Windows/20070221) MIME-Version: 1.0 To: "Romascanu, Dan (Dan)" References: In-Reply-To: Content-Type: text/plain; charset=ISO-8859-1; format=flowed Content-Transfer-Encoding: 7bit X-OriginalArrivalTime: 13 Mar 2007 20:03:35.0319 (UTC) FILETIME=[AEB37270:01C765AA] X-IBRFilter-SpamReport: 0.001 () BAYES_50 X-Scanned-By: MIMEDefang 2.51 on 134.169.34.9 X-Mailman-Approved-At: Thu, 15 Mar 2007 08:06:29 +0100 Cc: Heyuan Xu , ops-nm@ietf.org, dongsun@alcatel-lucent.com, Hexian Huang , nmrg@ibr.cs.tu-bs.de, ops-area@ietf.org, Tina Tsou Subject: [nmrg] Re: [OPS-AREA] Question about draft-xu-cops-push-00.txt X-BeenThere: nmrg@ibr.cs.tu-bs.de X-Mailman-Version: 2.1.5 Precedence: list List-Id: Network Management Research Group List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Tue, 13 Mar 2007 20:04:02 -0000 The other individuals copied on this response are probably better qualified to answer, but I'll have a go. The architecture, using ITU-T terminology, is as follows: the Policy Decision Function (PDF) sets policy. The Transport Enforcement function (TEF) enforces the policy. The interface between them is variously designated Rw (in the ITU-T), Ia (in TISPAN), Go/Gx (in 3GPP), or TC-1 (in the MultiService Forum). The particular role of the Rw interface is to carry admission decisions and related material such as NAT configuration requests and responses. To broaden the picture, the Policy Decision Function gets requests from the P-CSCF (more abstractly, the Service Control Function, SCF). That interface is designated Rs in the ITU-T, Gq' in TISPAN, Gq in 3GPP, and TC-0 in the MultiService Forum. Everyone agrees that the protocol across that interface is Diameter, but there is variation in the AVPs that have to be supported. The SCF, PDF, and TEF interact on a per-session basis. Whether push or pull mode is used depends on signalling capabilities at the user terminal and the access technology in use. That can vary from session to session. To take the push mode example: suppose the terminal is unable to signal at the transport level (e.g. using RSVP or NSIS). Then the network has to act on its behalf. The terminal sends a SIP INVITE with SDP to the P-CSCF. The P-CSCF analyzes the SDP to determine the implied QoS requirements and the external transport addresses associated with the flow and passes an admission request on to the PDF. The PDF checks its sources of policy information to decide whether the flows can be admitted; if so, it sends a request down to the TEF to admit the flow and set up NATing (if applicable). The TEF returns the NAT address assignments, which the PDF passes back to the SCF in its response to the original request. A pull mode example is probably more familiar, so I won't go into detail. My co-authors can better explain the choice of COPS. Back when they first started this work, the industry had not yet made a choice between COPS and other protocols, so their decision was reasonable. I should mention that the ITU-T is also working on draft Recommendations based on H.248 (like the TISPAN Ia interface) and on Diameter. Diameter presents similar problems to COPS, in that the natural roles of client and server are reversed when moving from pull to push mode. Romascanu, Dan (Dan) wrote: > I have a question related to > http://www.ietf.org/internet-drafts/draft-xu-cops-push-00.txt, which > will be the subject of a mini-BOF in the OPS Area meeting in Prague. The > document describes an optimization of COPS so that it can be used in a > push mode at a degree of efficiency that is similar to the one of the > pull mode for which the protocol was originally designed. What are the > use cases and application or applications that require using COPS in a > push mode? And if push mode is required, than why COPS? > > Thanks and Regards, > > Dan > > > > > > > > _______________________________________________ > OPS-AREA mailing list > OPS-AREA@ietf.org > https://www1.ietf.org/mailman/listinfo/ops-area > Received: from nj300815-ier2.net.avaya.com (nj300815-ier2.net.avaya.com [198.152.12.103]) by bierator.ibr.cs.tu-bs.de (8.13.4/8.13.4/Debian-3sarge3) with ESMTP id l2D0mULK020908 (version=TLSv1/SSLv3 cipher=EDH-RSA-DES-CBC3-SHA bits=168 verify=NOT) for ; Tue, 13 Mar 2007 01:48:36 +0100 Received: from IS0004AVEXU1.global.avaya.com (h135-64-105-51.avaya.com [135.64.105.51]) by nj300815-ier2.net.avaya.com (Switch-3.1.8/Switch-3.1.7) with ESMTP id l2D0mPRi031939 for ; Mon, 12 Mar 2007 20:48:26 -0400 X-MimeOLE: Produced By Microsoft Exchange V6.0.6603.0 content-class: urn:content-classes:message MIME-Version: 1.0 Content-Type: text/plain; charset="us-ascii" Date: Tue, 13 Mar 2007 02:48:25 +0200 Message-ID: X-MS-Has-Attach: X-MS-TNEF-Correlator: Thread-Topic: Question about draft-xu-cops-push-00.txt Thread-Index: AcdlCU4kxcY1qNbkS6CXxMUXcyFfIg== From: "Romascanu, Dan \(Dan\)" To: , , X-Scanner: InterScan AntiVirus for Sendmail X-IBRFilter-SpamReport: 0.001 () BAYES_50 X-Scanned-By: MIMEDefang 2.51 on 134.169.34.9 Content-Transfer-Encoding: 8bit X-MIME-Autoconverted: from quoted-printable to 8bit by bierator.ibr.cs.tu-bs.de id l2D0mULK020908 Subject: [nmrg] Question about draft-xu-cops-push-00.txt X-BeenThere: nmrg@ibr.cs.tu-bs.de X-Mailman-Version: 2.1.5 Precedence: list List-Id: Network Management Research Group List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Tue, 13 Mar 2007 00:48:40 -0000 I have a question related to http://www.ietf.org/internet-drafts/draft-xu-cops-push-00.txt, which will be the subject of a mini-BOF in the OPS Area meeting in Prague. The document describes an optimization of COPS so that it can be used in a push mode at a degree of efficiency that is similar to the one of the pull mode for which the protocol was originally designed. What are the use cases and application or applications that require using COPS in a push mode? And if push mode is required, than why COPS? Thanks and Regards, Dan Received: from co300216-ier2.net.avaya.com (co300216-ier2.net.avaya.com [198.152.13.103]) by bierator.ibr.cs.tu-bs.de (8.13.4/8.13.4/Debian-3sarge3) with ESMTP id l2CFmZeD007636 (version=TLSv1/SSLv3 cipher=EDH-RSA-DES-CBC3-SHA bits=168 verify=NOT) for ; Mon, 12 Mar 2007 16:48:41 +0100 Received: from IS0004AVEXU1.global.avaya.com (h135-64-105-51.avaya.com [135.64.105.51]) by co300216-ier2.net.avaya.com (Switch-3.1.8/Switch-3.1.7) with ESMTP id l2CFmTk2005233 for ; Mon, 12 Mar 2007 11:48:30 -0400 X-MimeOLE: Produced By Microsoft Exchange V6.0.6603.0 content-class: urn:content-classes:message MIME-Version: 1.0 Content-Type: text/plain; charset="us-ascii" Date: Mon, 12 Mar 2007 17:48:29 +0200 Message-ID: X-MS-Has-Attach: X-MS-TNEF-Correlator: Thread-Topic: Some comments on http://www.ietf.org/internet-drafts/draft-harrington-operations-and-management-00.txt Thread-Index: Acdkva7zg90iieZfR1+b85d4SjyqdQ== From: "Romascanu, Dan \(Dan\)" To: , , "MIB Doctors \(E-mail\)" , "IETF MIBs" , X-Scanner: InterScan AntiVirus for Sendmail X-IBRFilter-SpamReport: 2 (**) BAYES_80 X-Scanned-By: MIMEDefang 2.51 on 134.169.34.9 Content-Transfer-Encoding: 8bit X-MIME-Autoconverted: from quoted-printable to 8bit by bierator.ibr.cs.tu-bs.de id l2CFmZeD007636 Subject: [nmrg] Some comments on http://www.ietf.org/internet-drafts/draft-harrington-operations-and-management-00.txt X-BeenThere: nmrg@ibr.cs.tu-bs.de X-Mailman-Version: 2.1.5 Precedence: list List-Id: Network Management Research Group List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Mon, 12 Mar 2007 15:48:44 -0000 I would suggest to as many folks as possible to red and provide comments on http://www.ietf.org/internet-drafts/draft-harrington-operations-and-mana gement-00.txt prior to the meeting in Prague. This is an important document for the OPS area, that could impact the work in other area of the IETF in the future. Here are a few of my observations: 1. Section 1 o "new protocol" includes new protocols, protocol extensions, data models, or other functionality being designed. I would include in this definition also 'the entities and functional components implementing the protocol' 2. Section 2 - I believe that instead of 'Protocol designers typically do not like to look at the management aspects of their new protocol.' we should rather say 'Protocol designers typically do not take into considerations the operational and management aspects of their new protocol at the time of the protocol definition' 3. Section 2 - s/aspects of a protocol design that is unfamiliar to them/aspects of a protocol design that are unfamiliar to them 4. Section 2 - 'This document is not about requiring all internet-drafts to include a new "Operations and Management Considerations" section.' I would add '... although it does not preclude the addition of such a section either'. 5. Section 2.1 The IETF has indicated a desire to have operations and manageability considered during the development of new protocols, using a proactive "design for operability and manageability" approach that documents how a new protocol is expected to be operated and managed. I do not believe that there was any IETF-wide discussion on this issue. Did you mean the IESG? 6. It would help if the last paragraph in 2.1 would be edited as a list of bullets. 7. Section 3.4 - These considerations should generally remain illustrative to avoid creating restrictions or dependencies, or potentially impacting the behavior of existing protocols, or restricting the extensibility of other protocols, or assuming other protocols will not be extended in certain ways. I am not sure what 'considerations should remain generally illustrative' - maybe what we mean here is that the goal of such considerations would be to identify existing restrictions and dependencies, but avoid introducing new ones. 8. Section 4 Some product designers and protocol designers assume that if a device can be managed individually using a command line interface or a web page interface, that such a solution is enough. But when equipment from multiple vendors is combined into a large network, scalability of management becomes a problem. It is important to have consistency in the management interfaces so network-wide operational processes can be automated. I think that we should add to the last phrase '... and to minimize to the possible extent the number of components of a complete management solution' 9. Figure 1 should mention data models at plural and represent them under different names DM1, DM2 ... 10. The discussion of the data models should also take into consideration the issues related to the implementability of data model in network devices - we can use the example of the multiport bridges with thousands of VLANs modeled as entries of tables per port - is such a model implementable? 11. I believe that we should add to 4.2.3 Fault Determination the case where faults are determined by comparing increases of counters in a given time interval vs. a threshold, as in the RMON Alarms mechanism 12. Section 4.3 - The phrase ' Network wide configurations are ideally stored in central master databases ...' seems to recommend a certain management model or architecture, which may not be appropriate for all cases. I do not believe that there is any 'ideal' here and I would reformulate 13. It is not clear to me what 4.3.2 is meant to say - I believe that there is a need for more clarity in this section. 14. Section 4.5 should state that for a given protocol the metrics that characterize the performance of the protocol need to be defined as part of the manageability considerations information. 15. I think that it would be good to mention that the content in Section 5 is of informational nature, and reflects the status of the management protocols at the time of the editing of this document 16. Should we not include also COPS in Section 5? We refer only to COPS-PR. CLI also deserves a separate sub-section, even if not standard it is widely used. I would also mention CAPWAP and ANCP as 'other protocols' 17. Section 6.4 should also mention IPPM and RTCP XR (RFC 3611) Dan Received: from nj300815-ier2.net.avaya.com (nj300815-ier2.net.avaya.com [198.152.12.103]) by bierator.ibr.cs.tu-bs.de (8.13.4/8.13.4/Debian-3sarge3) with ESMTP id l29AWWWk026194 (version=TLSv1/SSLv3 cipher=EDH-RSA-DES-CBC3-SHA bits=168 verify=NOT) for ; Fri, 9 Mar 2007 11:32:37 +0100 Received: from IS0004AVEXU1.global.avaya.com (h135-64-105-51.avaya.com [135.64.105.51]) by nj300815-ier2.net.avaya.com (Switch-3.1.8/Switch-3.1.7) with ESMTP id l29AWUL6026498 for ; Fri, 9 Mar 2007 05:32:31 -0500 X-MimeOLE: Produced By Microsoft Exchange V6.0.6603.0 content-class: urn:content-classes:message MIME-Version: 1.0 Content-Type: text/plain; charset="us-ascii" Date: Fri, 9 Mar 2007 12:32:29 +0200 Message-ID: X-MS-Has-Attach: X-MS-TNEF-Correlator: Thread-Topic: [NGO] Updated Agenda for the OPS AREA meetings in Prague Thread-Index: AcdiNIED2Sa8vNBCScCl+dUgbRO1lgAAZ/Mw References: <45F134C8.4010405@hitachi.com> From: "Romascanu, Dan \(Dan\)" To: "Tomoyuki Iijima" X-Scanner: InterScan AntiVirus for Sendmail X-IBRFilter-SpamReport: 0.001 () BAYES_50 X-Scanned-By: MIMEDefang 2.51 on 134.169.34.9 Content-Transfer-Encoding: 8bit X-MIME-Autoconverted: from quoted-printable to 8bit by bierator.ibr.cs.tu-bs.de id l29AWWWk026194 Cc: ngo@ietf.org, ops-nm@ietf.org, aaa-doctors@ietf.org, "MIB Doctors \(E-mail\)" , IETF MIBs , ops-dir@ops.ietf.org, nmrg@ibr.cs.tu-bs.de, OPS Area Subject: [nmrg] RE: [NGO] Updated Agenda for the OPS AREA meetings in Prague X-BeenThere: nmrg@ibr.cs.tu-bs.de X-Mailman-Version: 2.1.5 Precedence: list List-Id: Network Management Research Group List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Fri, 09 Mar 2007 10:32:39 -0000 Sorry for the confusion. Is there a draft to support the presentation that you will be making in Prague? Dan > -----Original Message----- > From: Tomoyuki Iijima [mailto:tomoyuki.iijima.fg@hitachi.com] > Sent: Friday, March 09, 2007 12:20 PM > To: Romascanu, Dan (Dan) > Cc: OPS Area; ngo@ietf.org; ops-nm@ietf.org; > aaa-doctors@ietf.org; MIB Doctors (E-mail); IETF MIBs; > ops-dir@ops.ietf.org; nmrg@ibr.cs.tu-bs.de > Subject: Re: [NGO] Updated Agenda for the OPS AREA meetings in Prague > > Dear Dan, > > > 7. Late Submission - requirements to tunneling protocols > OAM - KIKUCHI > > Yutaka (total: 15 min) > > > > This draft describes requirements to measure end-to-end > qualities of > > tunnels passively and to monitor them via SNMP. This feature is > > necessary for Service Providers, especially, who provide > transports to > > users using tunnels. In addition, the draft shows an example to > > measure Generic Routing Encapsulation (GRE) tunnels. > > > > I-D: > > > http://www.ietf.org/internet-drafts/draft-iijima-ngo-vlandatamodel-00. > > tx > > t > > This draft does not correspond to the presentation above. > > Best regards, > > -- > Tomoyuki Iijima > Hitachi, Ltd. Central Research Laboratory > TEL:+81-42-323-1111 ext.3579 > FAX:+81-42-327-7868 > E-mail:tomoyuki.iijima.fg@hitachi.com > Received: from mail7.hitachi.co.jp (mail7.hitachi.co.jp [133.145.228.42]) by bierator.ibr.cs.tu-bs.de (8.13.4/8.13.4/Debian-3sarge3) with ESMTP id l29AJwhO024650 for ; Fri, 9 Mar 2007 11:20:04 +0100 Received: from mlsv3.hitachi.co.jp (unknown [133.144.234.166]) by mail7.hitachi.co.jp (Postfix) with ESMTP id 8F34637AE1 for ; Fri, 9 Mar 2007 19:19:54 +0900 (JST) Received: from mfilter-s2.hitachi.co.jp by mlsv3.hitachi.co.jp (8.12.10/8.12.10) id l29AJuan009710; Fri, 9 Mar 2007 19:19:56 +0900 Received: from vshuts4.hitachi.co.jp (unverified) by mfilter-s2.hitachi.co.jp (Content Technologies SMTPRS 4.3.17) with SMTP id ; Fri, 9 Mar 2007 19:19:53 +0900 Received: from gmml27.itg.hitachi.co.jp ([158.213.165.130]) by vshuts4.hitachi.co.jp with SMTP id M2007030919195211624 ; Fri, 09 Mar 2007 19:19:53 +0900 Received: from [127.0.0.1] by gmml27.itg.hitachi.co.jp (AIX5.2/8.11.6p2/8.11.0) id l29AJqp6910092; Fri, 9 Mar 2007 19:19:52 +0900 Message-ID: <45F134C8.4010405@hitachi.com> Date: Fri, 09 Mar 2007 19:19:52 +0900 From: Tomoyuki Iijima User-Agent: Thunderbird 1.5.0.5 (Windows/20060719) MIME-Version: 1.0 To: "Romascanu, Dan (Dan)" References: In-Reply-To: X-Enigmail-Version: 0.94.1.0 Content-Type: text/plain; charset=ISO-8859-1 Content-Transfer-Encoding: 7bit X-IBRFilter-SpamReport: 0.001 () BAYES_50 X-Scanned-By: MIMEDefang 2.51 on 134.169.34.9 X-Mailman-Approved-At: Tue, 13 Mar 2007 08:20:15 +0100 Cc: ngo@ietf.org, ops-nm@ietf.org, aaa-doctors@ietf.org, "MIB Doctors \(E-mail\)" , IETF MIBs , ops-dir@ops.ietf.org, nmrg@ibr.cs.tu-bs.de, OPS Area Subject: [nmrg] Re: [NGO] Updated Agenda for the OPS AREA meetings in Prague X-BeenThere: nmrg@ibr.cs.tu-bs.de X-Mailman-Version: 2.1.5 Precedence: list List-Id: Network Management Research Group List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Fri, 09 Mar 2007 10:20:07 -0000 Dear Dan, > 7. Late Submission - requirements to tunneling protocols OAM - KIKUCHI > Yutaka (total: 15 min) > > This draft describes requirements to measure end-to-end qualities of > tunnels passively and to monitor them via SNMP. This feature is > necessary for Service Providers, especially, who provide transports to > users using tunnels. In addition, the draft shows an example to measure > Generic Routing Encapsulation (GRE) tunnels. > > I-D: > http://www.ietf.org/internet-drafts/draft-iijima-ngo-vlandatamodel-00.tx > t This draft does not correspond to the presentation above. Best regards, -- Tomoyuki Iijima Hitachi, Ltd. Central Research Laboratory TEL:+81-42-323-1111 ext.3579 FAX:+81-42-327-7868 E-mail:tomoyuki.iijima.fg@hitachi.com Received: from nj300815-ier2.net.avaya.com (nj300815-ier2.net.avaya.com [198.152.12.103]) by bierator.ibr.cs.tu-bs.de (8.13.4/8.13.4/Debian-3sarge3) with ESMTP id l298PRwI014023 (version=TLSv1/SSLv3 cipher=EDH-RSA-DES-CBC3-SHA bits=168 verify=NOT) for ; Fri, 9 Mar 2007 09:25:33 +0100 Received: from IS0004AVEXU1.global.avaya.com (h135-64-105-51.avaya.com [135.64.105.51]) by nj300815-ier2.net.avaya.com (Switch-3.1.8/Switch-3.1.7) with ESMTP id l298POe2022219 for ; Fri, 9 Mar 2007 03:25:25 -0500 X-MimeOLE: Produced By Microsoft Exchange V6.0.6603.0 content-class: urn:content-classes:message MIME-Version: 1.0 Content-Type: text/plain; charset="us-ascii" Date: Fri, 9 Mar 2007 10:25:24 +0200 Message-ID: X-MS-Has-Attach: X-MS-TNEF-Correlator: Thread-Topic: Updated Agenda for the OPS AREA meetings in Prague Thread-Index: AcdiJHn/vwkwYcLPSbqV8+tHeow6fA== From: "Romascanu, Dan \(Dan\)" To: "OPS Area" X-Scanner: InterScan AntiVirus for Sendmail X-IBRFilter-SpamReport: 0.001 () BAYES_50 X-Scanned-By: MIMEDefang 2.51 on 134.169.34.9 Content-Transfer-Encoding: 8bit X-MIME-Autoconverted: from quoted-printable to 8bit by bierator.ibr.cs.tu-bs.de id l298PRwI014023 Cc: ngo@ietf.org, ops-nm@ietf.org, aaa-doctors@ietf.org, "MIB Doctors \(E-mail\)" , IETF MIBs , ops-dir@ops.ietf.org, nmrg@ibr.cs.tu-bs.de Subject: [nmrg] Updated Agenda for the OPS AREA meetings in Prague X-BeenThere: nmrg@ibr.cs.tu-bs.de X-Mailman-Version: 2.1.5 Precedence: list List-Id: Network Management Research Group List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Fri, 09 Mar 2007 08:25:37 -0000 Following a number a comments I have updated the agenda for the OPS Area meeting in Prague. Comments are still welcome. Dan Meeting : IETF68, Monday March 19, 2007 and Wednesday March 21, 2007 Location: Congress II, Monday March 19, 2007 15:20 to 17:20 and Congress I, Wednesday March 21, 2007 13:00 to 16:10 Chairs : David Kessens (david.kessens@nokia.com), Dan Romascanu (dromasca@avaya.com), Ron Bonica (bonica@juniper.net) Jabber : ops@jabber.ietf.org URL : http://www.ops.ietf.org/ Agenda : version 0.1 (draft) ============================================================== Meeting 1 - Monday March 19, 2007 15:20 to 17:20 1. Meeting Administrivia ADs (total: 5 min) Mailing list and URL Minutes Scribe Jabber Scribe Blue Sheets 2. Introduction of new Area Director - Ron Bonica (5 min) 3. Mini-BOF A: - Manageability and Operational Guidelines - David Harrington (total: 30 min) We need to develop multi-protocol manageability and operational guidelines for developers of protocols in the IETF. An internet-draft has been published that summarizes previous work on this goal as a starting point. This work would lead to either a WG, if enough people want to be involved, or a design team to get the document finished. If we can get enough feedback from operators and from protocol designers, this could lead to a BCP; with limited input it would lead to an Informational RFC instead. I-D: http://www.ietf.org/internet-drafts/draft-harrington-operations-and-mana gement-00.txt 4. Mini-BOF B: COPS push mode policy configuration - Tom Taylor and Tina Tsou (total: 30 min) This mini-BOF is requested to gain comments on a technical proposal to reduce the number of messages required when COPS is used to support push mode policy configuration, where each request-state corresponds to an user session. The essence of this proposal is to allow the PDP to request the opening of a new request-state in the same message that sends down policy to be stored against this request-state. At the other end of the session life cycle, allow the PDP to delete a request-state. The proposed extensions to COPS could save two to three messages per session, depending on the details that are finally agreed. I-D: http://www.ietf.org/internet-drafts/draft-xu-cops-push-00.txt 5. Mini-BOF C: Best Current Practices in Operations and Management - David Harrington (total: 20 min) This would be an effort to get operators together in a WG to develop a set of best current practices, and a description of supporting technologies, for manageability and operations, similar to the work done in the OpSec? WG. There will not be an internet-draft published prior to ietf68. A WG should be created for operators to do this work. 6. Improved Efficiency of the OPS Area - proposal for the formation of a OPS Area WG - ADs (total: 15 min) 7. Open Microphone - 15 min Meeting 2 - Wednesday March 21, 2007 - 13:00 to 16:10 1. Meeting Administrivia ADs (total: 5 min) Mailing list and URL Minutes Scribe Jabber Scribe Blue Sheets 2. Mini-BOF D: NE/facilities/lines/protocols/services data modeling - Michael Alexander (total: 40 min) Network Management (NM) standards have traditionally been focused on protocols, such as pertaining to configuration management and discovery. Yet, all areas of Network Management, ranging from Element Management (EM) to Network Management Systems (NMS) and Service Management Systems have in common that they critically rely on underlying data structures describing devices and services being managed. Network elements (NE) frequently spawn ten thousands of managed objects, such as for a multiservice switch...Traditionally, standardization of access-methods (protocols), discovery, etc. have received most attention, while the more heterogeneous data models and data modeling per saw comparatively less. As there are real possibilities to standardize underlying and universal commonalities in EMS/NMS/Service Management Systems on the one side and managed attributes of NEs, protocols, transmission facilities, lines and services on the other, the two distributions should be closer aligned. Despite the complexity, it is possible to identify and define frameworks and meta models of each constituent and their relation to each other, that would substantially ease the management of present and future devices, networks and services. I-D: draft-alexan-datamod-00.txt 3. MIB-Doctor-sponsored MIB-document-writing template: David Harrington (total: 10 min) I-D: http://www.ietf.org/internet-drafts/draft-harrington-text-mib-doc-templa te-02.txt 4. Mini-BOF E: MIB module editing in XML : Emile Stephan (total: 20 min) Present the state of the art of editing MIB module in XML; Introduce a basic template to edit SMI items in pure XML instead of in raw text; Propose a simple XML template for SMI items; discuss the connections with XML schema and network management protocols. I-D: http://www.ietf.org/internet-drafts/draft-stephan-ops-xml-mib-module-tem plate-00.txt 5. Mini-BOF F: Japanese Data Model Standards: Tomoyuki Iijima (total: 20 min) I'd like to show the data model examples we developed and was adopted in the Japanese Standard body. We developed data models of VLAN, Filter (Access Control List), and so on and those data models were adopted by Japanese standardization body called INTAP/OSMIC as standard data models. I'd like to make our data model examples be adopted as an Informational RFC. I-D: http://www.ietf.org/internet-drafts/draft-iijima-ngo-vlandatamodel-00.tx t 6. Mini-BOF G: OWL techniques for MIB to XML documents and schema translation - Bob Natale (total: 40 min) Specification of a standard methodology for translating SNMP MIBs into outputs more directly usable by emerging SOA/web services management tools, and specification of a standard methodology for validating those translations. Appropriate translation outputs are TBD by the WG, but can be expected to include one or more of the following: XML, RDF, WSDL, WS-Policy, WS-Event/Notification, Ontology. The translation output(s) should allow for extension of the respective managed element data model in the native SOA/web services environment. Because of the extensibility objective, reverse translation back into SNMP MIB format is a non-goal of the WG, but the possibility should be considered when weighing alternatives. I-D: http://www.ietf.org/internet-drafts/draft-natale-snmp-mibs-to-ontology-0 0.txt 7. Late Submission - requirements to tunneling protocols OAM - KIKUCHI Yutaka (total: 15 min) This draft describes requirements to measure end-to-end qualities of tunnels passively and to monitor them via SNMP. This feature is necessary for Service Providers, especially, who provide transports to users using tunnels. In addition, the draft shows an example to measure Generic Routing Encapsulation (GRE) tunnels. I-D: http://www.ietf.org/internet-drafts/draft-iijima-ngo-vlandatamodel-00.tx t 8. Open microphone (total: 40 min)