Files
vlt/SwD/CIM/Drawing 2026-08-18 16.14.33.excalidraw.md
T
2026-09-18 23:22:55 +10:00

20 KiB

excalidraw-plugin, tags
excalidraw-plugin tags
parsed
excalidraw

==⚠ Switch to EXCALIDRAW VIEW in the MORE OPTIONS menu of this document. ⚠== You can decompress Drawing data with the command palette: 'Decompress current Excalidraw file'. For more info check in plugin settings under 'Saving'

Excalidraw Data

Text Elements

FlexGW ^qODGWIb6

DERAPI ^21P88HbJ

<cim:PowerTransformer rdf:ID="_f1769d7c-9aeb-11e5-91da-b8763fd99c5f">
    <cim:Equipment.EquipmentContainer rdf:resource="#_f17695d8-9aeb-11e5-91da-b8763fd99c5f"/>
    <cim:Equipment.normallyInService>true</cim:Equipment.normallyInService>
    <cim:IdentifiedObject.description>3244 3245 0 &apos;1 &apos;</cim:IdentifiedObject.description>
    <cim:IdentifiedObject.name>HOGASEN T1</cim:IdentifiedObject.name>
    <cim:IdentifiedObject.mRID>f1769d7c-9aeb-11e5-91da-b8763fd99c5f</cim:IdentifiedObject.mRID>
</cim:PowerTransformer> ^FiCk1zd9

RDF - CIM-XML ^6q4zx41g

<?xml version="1.0" encoding="UTF-8"?>

<tns:CreateDERGroups xmlns="http://iec.ch/TC57/2017/DERGroups#" xmlns:msg="http://iec.ch/TC57/2011/schema/message" xmlns:tns="http://iec.ch/TC57/2017/DERGroupsMessage" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:n1="http://www.altova.com/samplexml/other-namespace" xsi:schemaLocation="http://iec.ch/TC57/2017/DERGroupsMessage DERGroupsMessage.xsd"> tns:Header msg:Verbcreate</msg:Verb> msg:NounDERGroups</msg:Noun> msg:Timestamp2017-05-31T13:55:27-06:00</msg:Timestamp> msg:MessageIDbc9b3eaa-bdc0-4d61-9577-0c78515fee65</msg:MessageID> msg:CorrelationIDbb9a2075-e2e1-43ba-a234- e5d800bfff6e</msg:CorrelationID> </tns:Header> tns:Payload a20c559c-dda3-41e5-98b7-41afeb63ae5b DER Group 1 true false false false false true false false false 23cbd502-128a-4c4e-b7cd-5eaf6d9ae275 7fc50292-2e8a-4e9c-80ae-9105f50ce3ea 63d092b7-baed-4bfe-ad97-5709f2ce4ec9 DG1 2017-05-31T13:55:01-06:00 1 0 0 </tns:Payload> </tns:CreateDERGroups> ^J5oZLxyB

61968-100 - SOAP ^A9TrshcK

<MirrorUsagePoint href="/mup/99a76667cac86b060bffdccd180bd102ff98f5e9/upt/62633866316438622d65306400055436">
    <mRID>62633866316438622d65306400055436</mRID>
    <description>SiteReading</description>
    <roleFlags>03</roleFlags>
    <serviceCategoryKind>0</serviceCategoryKind>
    <status>1</status>
    <deviceLFDI>9CDC4D1C68B2BF69E2BAEABF74F06F7200055436</deviceLFDI>
    <MirrorMeterReading>
        <mRID>31353431666461372d65613600055436</mRID>
        <ReadingType>
            <accumulationBehaviour>0</accumulationBehaviour>
            <commodity>1</commodity>
            <dataQualifier>2</dataQualifier>
            <flowDirection>1</flowDirection>
            <kind>37</kind>
            <powerOfTenMultiplier>0</powerOfTenMultiplier>
            <uom>38</uom>
        </ReadingType>
    </MirrorMeterReading>
    <MirrorMeterReading>
        <mRID>63643463643962392d65626600055436</mRID>
        <ReadingType>
            <accumulationBehaviour>0</accumulationBehaviour>
            <commodity>1</commodity>
            <dataQualifier>2</dataQualifier>
            <flowDirection>1</flowDirection>
            <kind>37</kind>
            <powerOfTenMultiplier>0</powerOfTenMultiplier>
            <uom>63</uom>
        </ReadingType>
    </MirrorMeterReading>
    <MirrorMeterReading>
        <mRID>39393662393834302d63396300055436</mRID>
        <ReadingType>
            <accumulationBehaviour>0</accumulationBehaviour>
            <commodity>1</commodity>
            <dataQualifier>2</dataQualifier>
            <flowDirection>1</flowDirection>
            <kind>37</kind>
            <powerOfTenMultiplier>0</powerOfTenMultiplier>
            <uom>29</uom>
        </ReadingType>
    </MirrorMeterReading>
    <postRate>300</postRate>
</MirrorUsagePoint> ^pnLJsiKn

2030.5 - XML (SOAPish) ^WiPlKBwF

SPAQL ^ym38VtAo

Question How do we get from CIM-XML -> ^BpmF2kCX

61968-5 Actual Functions 61968-10 Test of -5 61970 CIM itself (data shape)

^HCTtnxVH

%%

Drawing

N4KAkARALgngDgUwgLgAQQQDwMYEMA2AlgCYBOuA7hADTgQBuCpAzoQPYB2KqATLZMzYBXUtiRoIACyhQ4zZAHoFAc0JRJQgEYA6bGwC2CgF7N6hbEcK4OCtptbErHALRY8RMpWdx8Q1TdIEfARcZgRmBShcZQUebR44gAYaOiCEfQQOKGZuAG1wMFAwYogSbgwAZjYjABYADQBZAGEU4shYRHLA7CiOZWDWksxuZwBGCriK0YA2GsTpngBWfhKY

Eama7QAOAHYATi3Fvb2eGqnZlcgKEnVuUZq97Qrpw4rEnh2Ks53lgshJBCEZTSbhbCrbabHPaLUajHajXa/NoQaz9cSoRKXCDMKCkNgAawQTTY+DYpHKAGJRghqdTBpBNLhsPjlHihBxiMTSeSJLjrMw4LhAll6RAAGaEfD4ADKsAGEkEHlFOLxhIA6jdJNw+H9sbiCQhZTB5ehFWUsWzgRxwjk0KMsWxBdg1Gs7YlMbrWcI4ABJYi21D5NqQfQA

KRq+h9kgAWgAJACaYwAVhR8ZofUYtgAhLPTCB/AC6WLF5Ayfu4HCEUqxhA5WHKuFGorZHOtzADRWRHXRFT+AF8sWEEMQ7ltEkceNNxzssYwWOwuGhFtMkSU56xOAA5ThiO6LCpbM4JPYz3WEZgAETSUGH3DFBDCWM0wg5AFFghksgHckXdUI4MQuA3iOdo7LsiQVBUOxTnsZxYkQHD4hWVb4PBbDMreaD3vgj66pIoQACpYFAAAytZIVhD4IAUA4

FJ2kBlBIACOADyF4AOJqj6mh5li3blDemBQKKwxoM4sHaKMJyTokOw1DwCI/FirqoM4PBbKM2jTOMNQ1Pc0w7OpMLTFi1zELcaDwtoRzHDUizzGCRwHliAJAiCaBLFiqImh6yIqgaXJkpStI0kgT5MiyLaciSQW8uQHACkKmTCcWkoynK6LYiS5q6v56qatqg76oSRomllSoWsIVo2ncDpOi6dzuliXr/n635/CG4aRjGCbJqm6aZjmeaFsWpYIO

WaCVtWZ51qJ6C4DwzYvsQbYBlNqG5QgmGoDCsmHos+6zkwG6LqgoynEd85bju6JHPC7xTvaZ6Xte23YbhyLPuyxDvukyXfr+yL/oBwF3GBOwQVBMFwbqpIYSBqDvQgfHEeUABiwSYJxzaUERQno5j2PFpwUDSoQRjojwvklGKJNo7g+iSipq7tMRACCRDKKdEDBGKKW6nOUDmAQHNAtzUCOqKehZLgtZMBNqDrQ6pBArWBB48JEgY1gRO6rgQgSw

ASuE5PoriQjI7DcuxoCwKa2d8Qs1IhHEWRiF3lR8HkchUo0Ss9GlAjEDKPi0ZCPoiQEQAij67FsNMBEANIkbp+g7PiaqivxEjdL0aIiWDOzbFshwPGONQvEpuoqc45zaOO6mwRORkzKZBV2g8TwvPu7yfN8TuuXboLglskLHDCcKKU73notTAjFUSMU8ugVKhXS4XMi1HKBcv0DxYlwr88iEpSqVmVmiORWqggGrmVqHlXwaZ/lBfS1+JIq21bqj

pMg1bpz8HNkvp/R5A6iieMQhCCJENmjLMWxpSJ2UDUWmTQoA8FIFmLUI1dQlgZuNBGSsZrEHrBIXAFQ36thqmgei7R4A9n7IOLaCNphfArrJcYl0TrcG0k7dcC5twcF3B3FciQEQnCesic8V5gig0ojhS2n1lq/U/NkPIgMSjAyAttOE4FIJjignsABCEKKKxQmheGHt5EuRdkJN2JikZ+zomeIOCkAAKJdYyaFDFnOhAlUZYjmgpTSCR3QnB2H3

KCTsa5GW0AcUYixdIPAro3Nud9QRxDBOPccPCeCsJcrbdyvBp59B8o/QkO9gprzCrqRkm8ooVLivyQUh9RQn3Ssac+2VL65QXrfCyvAymGgyi/Lpb9qrti/siH+zpYCNQAS1YB7VgzgMgdA2B8DEHILYKg9BmD8xtHUZAXBZYCFmKISQ+aNQKErSoaY6afkmHanOoeT4FRDoC2OguJ5Ei1yfOuoInsbxZg1Dkk7KRr0EZIyfEoj8/01FYk0bIs64

NIb6P2EY9ChJIWe11IJe2EALyvkNmzVxPocYUA1uUQlxLSWtJJmTCm2oAG0yyPTRm+BmYoyEqLLm5ReZH1+aQIW7geXi0lliaWUQ5akAVoQqZKt/Dq1RhIalJKyVeQNmwY2rBGVoHNgokoCEEA2zcvbYJA8bGkW9nIj6hrrV3PwI44oAdGLoDRoQJo+JRhGGIHsHxnReT+N1HNMY51HjyQMuwlhsI9gVGUiMGYeltDyQOHsWYo83gKVSf02EkF8m

mrBsU/OaAAF5UXtySpIVRS1MistBp6A+QJWaclVpaVn4KlGYMvp98Bk9Ovu200nbdSWg/rcn5kBpl/zOk1T0QC2qgOWQgdBWwmgwAImwV8dRowVCYviL1EdFj6CMPs4ohzxRjVlWcyRs0Gw1AAGrXM/pNK9JQhwI1hJOeSJdPicK+WgL4OpkR8P+UIs6dltKiIguO0oL0ZFvRxYo76yi4VoB/AigCWj30oq+KMRIulYLmKxZY21rN8YSFQBR1AAA

eZ0+hkCuLYBQJgBF9601IBkUgqBSDEDFMgH0F4AC8AAdCAAB9MUcJITEB2NgcSuAECaFDQgRY4lRiAWcJoXYLCxS+r2NgRYYoRMAD4hMcEo+Z6jtHkCviYpAuAKjtA2bsyo4kMtpVcZ48gQIggRBiGExACk4nJPQmIFsOTCmlMqb2Gp3AGmtMVB08cfThmIAKBM2ZizFGaOEDo05wg9nkraA4GSfQBAOU+g4NKJgZgxBGf1VRhQVm8sFayEVkrZW

YAVaq6QGrCB0uZay1Zv0yVCASmHCxTQSYEA9G0MQ5g2AVZwCFpwIzExdKoDW4sDEqAABkuA4BsGYAAblGLt/bh2jsNaG8QrIo3CDjcm9NqAs3wgLfy8tjg/WBvZbo8N27Y3iATamzNjgeCjOxhYuxNm0pXyblQARUYV2ct8Zu0LAHQOntFbB6Zgblnkd/bR/dwHj2Zv6ENvxozEnoJ7Gk7JvY8nFOwmU6p9TmnoIJd08lpHv3Ud3Ye8D57ZOKc48

o9z+jjHmOsZK0wIz5LKXkdF1ZhjTHSAsf5GxjjHneP8f80F6ntPwuM+pFFmLcX2eJb0wZ4zIvMs/es7Z/LDnmsuZJrLa0nHuO8e88IUQCB/OBap5CRYoXDeRZZ7Ftn2nOdW9S1923TWHctee8V9jHWuvVfMH1+rjXkfO8Kyn0rUpOuVYz7Vm3Fm7cE758TgXL35uLY+6t04NQNunC24kM7B3junb213y7OeecjfRyT57c23tLYXHHiv12h9E4xyD

sHEOocw7hwjsXVfh+19BxkKf5nK+8835joXF5KfBYN/TiLTOTes/ixbrnA+Uez/50f8nJ/y9i+V5L9X0vSCy+JlkBlSmZlOmBmJmUELlKAUVPlBAPmUUQWYWfAKA3kcVXUSVN3eWU5e5EoMkVWUHfAeXdAPfJXCXVXKXdjJgLXPjQTETPXKTGTUPK/cPM3KPJLGPXfRXXPRPJ3Lg5KVzKVd3Sg73XzP3ETAPYLYPMLC/I3ZnaLG/c3aPFLNLcvIg

zg5zfPdrIvdPHrTPOrUgC2MXPPVrAvNPEvbQsvDLePfHA/OfEfOvcfRvNbFvTbbbXvC7Hvc7Y7dfaw5/GbMfBvSfZQjgwff7GwrfRfSHaHWHeHRHB/DfUIzHbfPrQIwbKwp/GvF/CnQPGnegqQsPWQiPW/BQrwtI+fQXV/KfD/EgtXBKDXGXUUfWI2E2XVVAfVL2a0E1IeO0R2axZgDWOxYjA1SAYxH2R1YoWiZ1ZxcoaYJiGoIwTAPSZQf1TKPF

AuMSD9cNScCGeEaNKSONauBNOSRICEKSaLN4QyBEGobNHtfDeuaLRYBIBSAyNNPYfNTo1AMCayOEccWNScSeF4vWEpWeQZetALEKdeGpCKLeaKCtRpJtJKEUVKU+YZDtCqPtA0btQqNEkqZEwdVE5EEdJ9M6OqX+WZf+ZqOdEBVDMBJdUgFdNdDdLdHdPdUYA9I9E9MAM9Y5fBEYmsG9UhRYR9W5OVV9R5O0E8EFN4eJPYoDP5U6XSU8GUq6DgAR

UDdSPDBIQ4MFWDBAJFKFGpGFP6L8eFP8DDJFHRCGHDPDJJQjeDKxXFZVdAQ2C8NGVSVAJoH0BoZwRoEiOXB0iAJ0l05wN0j0r0hoH0//UmU2bhDJcYWYOSGCSJQDGmEA9lFSLYCApA9AflOApgYVEWTmMVOAKWV3aVS9LAidBVNWfAv0gM1090z070+ozVbVKMvVPQwYnma2ApM1bovCS1fom1Ds4Y59X2MY/2SYiQUMRYNgaMEiTAGALMJYvxfG

AJO4NNLSA8PDOSaCZcA8dM/YtYlhDJGyGoLYaLXJEFS43UMyfpOYPDV4wpc6GdZEGebgUtBeEE1eKtDeWtb6EExtA+FtRE9pMqV+LtduXtPyBeAdcqHKfEqqUdCZO0YkmZFSXDeZCkgGUaPBMsjaa9YhOaFEXiYdZaQk4UgQUU940RBSIFXhWU7gCGJMyAYDZUm6O4OYGYPDUJGsbU3UhDEoL6N8WFI01DM9RFbRbDe4tNBIaUw1TFW0kjaAP0qj

AAfkwH0HwFQBYv800kSBE1QEyD0EcD6H8wAFUCI0ZnAtgRMVL0sqMABCZwZwaUBmHwBAVAb0xGSUdy5QTIJgTDVATQGADysM6UOAYK+gKmeJLjIIbQVAFvAUU7AACkwFmAAEpUAkrpBZBFAFAKB8rtACAJZ6BcBdADA0qnK7KoAEpkAmhAgtFqV2IgFmBUB1L8AEp/Nsq4Bcr7tsBdBJAFACImhFgdhYhRFRrGrmqKR9K2qar9BmBlBOqZBuqlBe

r+rBrhrRqorRgFB5sARSsFAMh2xogEAZqNKarqrmAlqcrVrpt1qhqRqxq4QFBJrvRmAGgbQTqzr2r5BMBWBrqVq8qCqKBwQyQYgqZREFBvTpRsB9rYtawcRrAxBvqaqOBRgAbcr8qKBCr8BirSq9BDBmBXLMYNLbB1AmBnBEjEpkaIBWrWBkA9r0hcASJ0IgIFwMbbq+rYaNrHqoqJqiUmq3qPrjrfLUBXr/x3rPrfLtA/riBrcLDqNLrkAbZcBi

Ff9kjqN5rlBkA70mBNAjMFsQgbwGstada9b2CstTbtx2QjNxa5ATaFrkBrbPsNaqNTaCIctwgoh9A4AjM+bnBxxa5RgEcKhkADpkAPgA7phkB3QHbtaPajrvbfbXbTbhaibfKKdNBsA9hNAKgQgI9iBsBEhnAahiBtJxIRqdgA7sAwIYQDMtoVw47kA06TrhcFa99TbiRSBAh8A2bOBM7NB6cqYfhXAeAaQS6KhGRnAFovggzlNQt3RNAxRl7pgE

Am6u6e6+6OA2699IgaqVa1aKilbXFcBjQ2BVaLbqM7bmBL699XwOQrxetBb/xb7vtj8jMFpEh9MjhZNiBAIKgS7jdxIthNAq69JcAxQFMWF5NFhNATbyiNbccqM/D3tJ9qVUBn64AzoGsUGJ8VtEHvtqU0Z2QegAj27cdvtpZrQegLxzwqGntdD9DGtOBqGoBaH5sWGGGCGKHqMSwEBbNDKYA1QgIoAmgRBGBiHBFG8kYGs+GBHBEhGRGxGesEBJ

HSH8HyGeGO7cBMBjYCBP9SAyJGYhY+hKcqITadG9H8ADGjG1BaxlBX6eGqNSw4BDYtE+C8R8AzH5EGsXG3GbwPGSRHGKHnGQhSHGADH2HBQoBYbvGwhfGwmhYImSComgJYnuGQn6rrGUnzxonYns8snIncm0nJBgmkH6ASQohfLjZlAqwt64m16FAKncaTqam6nG8MnynKm70hRlGJGSHpHzGmnunenxHVGBmyGtGQnmmoBhGZA+nxmpHJ8ZHhnc

a5nRGxm1GOnNGQmXqiUtnJmpnRd77iBH7M8b7Om37yjclsBNBiB7IeAxh1JYsahsAagEANMZNiBnBFgQgxRphfV5MPhFh4Gd6jmssFATmzmxALmdmkGoWEBetYXwXbd36dgxR9N3gTg1IEAtgXmEA9MrLEh5NVNxwxR7IxA87cBQW384XvtIWH7EXzmynjnGWkWWXUXyiWFiBEgThQGNN5Nvmagl6PnVaTwfmIY9gxQeAxB3ns6aWOXqMGXTmmWY

XFWqNNw8FkWUW99Ejbb2IYi9XLmIXNWjr1WWLFW98QY+t/bA6pgQ6w7FgY7Rgo6Y7EgcGtFLXRdSskwyQjMYifW/XjWK9GYU8jN3XDrawg26WnHAgzATpw2En43DnwWGsLWMmGsEWn6gFL6Gtr6Ki975AT6z6L7TMGsla6qjaEB83fSyN0BVK2qtLZSdL659LDK2BjLFqRNzLLLrKIBbKy3HLnLib3LPKT4fK/LyBgJArgrobwqtKoqtse64qEq4

BkrUqagMqsrlrMaCqiq2ASqyr9AKrnAqqarK2GqBbmrWrzqrqRMuqeq7ruaHqtrxq9nDZMHmBprabZr5AtaOaFA1rn3NqnqdrGaDqjr07Tqf3b3kBLqAOgOBqX2nr+aP3mqW7fKUbfr/r72d2lAsbtAQbtAwaxrIbobYambnAEbegaab2frkA0aAOCP93D2CbdqR22qyaARSBKatWnRoO6bCAGaKPSsWa8APsEOn2kOQO+b33P2MP3Lr6FOZbmA5

aIAj796QhD6U7HbdbSB9bDatEm69P9adPtbnbbar23qm6LOzPkAE6vbXK/bxqA6VN7XxhHWI6q75g3Wm6HPEafbc3U6pbxoT8s6c6qWC6i6S6y6XXoRwlq7a74lIGEBG7DrHaFOwXUXHaN6ggt6B6h7ZIVMl1x6zgp6Z6ag56JDF7l7/nGnO6yRN6PssulWlaD6Zd39j7T7SRS2dmqN82M2s3M9MH1X37P7v7CW/6yFAGZCQGwHRgIGoGKgYG4HD

qEGY2K9cHG90HMHsGFAtuU2jn+v9mJmNGdWiDOGaG6HLuoBGHGn6GruOGOBWGvWss5GLYFH1mFmDmVsVn3vBGvvNnTuXaNukHStdGQhsmVdbGTGHGVnwerGbGcs7HTHg298/H3GSZPGGnfHXL/HF4shse0fRd6rwmEAinEoYnSmVnSeknyecnKf0nQfvtCmGe8nSmCnIeKf2fXvqMZnWmEBane7BmfHVmqmEA2nhfDudWqMZmenSBvvgecexf5fF

elmzvzussZnAeVGfvPsVntelGgf1eQeZf329f1Whu1XifLbrmKhbn7n3gnm8WS63mPnQHsBvnfmIGAWL9gWFXg3M22XmXA+rfwhee3byj0XMWeBsWx6Xf3nCWxwSXosyWKWEAqWA/meIWw/tXU3c+I/37uXeWeB+XGRhwS6RXp7fUq6RreXpXZXps9gs+zeC/A/TXw+bfqM9WOJDXsds+lWO+8+jv02B+rXPXbW3Pg6PPw7RFXXY79vPWu+3bcBf

Xf8A3V/o3NfLao3f8I3Q2t/t/Qnk2VsI243zxpetG03ZTgmg+VXs3vRc25PmqC2uuS3iA7LC3ar6qbwa2IzACmUEZNlGATQD7kuw7MAstAVgKXQ8yiBSAcgSLISoSy7uXCsrFwJKo62EABthpSbZKkW2elWmu207ZmULKVlGynZSHYuUfawQEKiRC8o0DfK7uAKkFVoFhUIqi7GKvgBXaoBEqmVDdluwfb4c92uNA9vjXKqVUy2FbH/tWys4S06O

HVXDjdUA5Scear7Z6tfW/byC/2C1STlzWk681REYHETrgEOohcsOcHBQVIDw7KC9BqglDs/yFpmCYO9HP6oQCY7A1QapAcGu6B2rkc4aVHBKDRwE6/sGO6NRQYDWY4iDWOBgdjtQKwCk02A5NHjlTX44zV6a4HZmqzQk7hDH2tg5DrJyU4hcxasguQMp1lry098bXLTh1z66m0TOBtaQcZ3Np2cLO19Gzi+CC6O1/OSdZznCFc5B0HW4dSOj5wX7

u1PaAXZOrUIy4hdM62dXOvnQ0yF1i6pdcuvF28411DgyXBuiC3S7a1MutLMHjl0a55dmuYXQep/RHolcXWZXWLBVyq4L1EgS9FevVyOHd0ThC4FruW006q0ahlQmqsWx64f9XaA3DblRjD4jdA+Y3KmBN1/r/0ZuUWOboA0W48RluymVbu/UD4HcVsO3IBHtyxGm8UWx3GBEr2X4Pc2G13Z7gw2zxkj2GZIiPv90+5G9deSvP7oEHkbYBFG8zY3u

owJGa8V+EPfRiQRh72NleCPLnkKOR6w8I+GPAJljyCY088emPQnkE2X609CAyTFXKkyp7K81RGopgFqKZ7b9qMrPTUcU21Gc9BRpoxnqU2X789qmgvdpssyGZ2iJeDoqXhrz5Fy9RmzIk3sry9EK9uR2zI0bL0qY69+mvog3qGKZHhieR6rc3iSIH5gjg+1vMft6zt4O8HmzvF5m70+ae8fmfzX3kCx+At9CRyraFp30TFt9UxtvCnNHweZx9cW+

LJPsSw+ap8DM6fTPmtxa5TM7+5Y4fj2KrHBii+FQHlnyyrrl8hWVfMVrX0lYN8EAcrZvl2IOGljBxhIofhHx74GsGsRrRMQoHXGB9R+wY61r0O85T9BhTrOfiMIjbHjl+gbdfhYzX6F9d+ibSNmG1VFMsE2Z/D8ZfycZNMb+GbMsaqwQAQi+uDgiWq/3+Hddz6QIjgF8PkAXtf+JQm+k2UaI6ozY7ZNosam7J3BeyyIfCL0Vdj2o9SyIYcg6idSF

AJy6ANmHsBYzMBJA2AROEuUDQrlg0a5cELMHUiThJwBkeyPEnjRrFDixxY4OMFkgKRDwVxbgAdDiCGQxwHwL4JEgfL2wPiMICGE5F+Lwh/iL5QEm+WBJLxK0oUatJCXqR6TYSgFBEjgjbQ4lYK3SKCtfAxIPwsSQyDpCMjxIlACSY6FClOnQrklvQ86USthROQ8lzkhFXADsEFJIUHUjCbaFsAUiGIpgsIX9JwFBAcIPkSpFUuiGghwh9gGkLUtI

h1IKUOyglH6MJVUT+STS1rLDLojshTBIIslIYvJWxR2lwBmA7SGmjCzoVXS0oFiCSlrb4pWpLwMYO6E6ndTXEdKAAq2VQALBtgsZS8gmR+BMVxQKZEAagDAElA8UmZHmDAQFTMVcyCBDaRLEQGoFkBGBIKfKnQHVkWpUkAaR1KDJdSepGqVCRNNaJWx2i2Erop5D7IETbERE/ikMXtTrRyJLqIOHAA4AkRQwrAROFwD4i+JmJ20iAHNDhCPAYQ+i

eJDCGkpyR+JqkWPosC2DxB2ECIfROeRMjXkIK50CYIpLuDnQi0pSRyZ+TBLVJPoRkutCZIbT7xm05k4+JZOckok4Kr6XpBBQWlloYKYFEiu/EJLQZJ0pJadBhV8mUlAwYCaUCHCTCJweATQaULAlGAkRpQWYWMEmC/rRg6gBEdkpyQvSYE8KJQWsARQbBbBwpa0F9BRW2hTAEgOkPialK4SgQ6pDAWUulMah2RHi7CHinlL4pNSBKBpFRFhXKmYY

wYVUu6F8GJkkSGpAxCAuUD3wNBCA3dMkKZSg4MZawUAVAJIECBih/Mh1f8AoGOChTpglcmTEyFHiaB5gjw5eoXU94IhHhxAXDDwGXoHByWBLBQP+CgAKAFgLCA8JXPOBnBR4CQMuj3FmDuhxwCSZ4BUKuYU5B5eiEeYmmHkTyVwQKO8rPLODTASxtufEUZjJg3g9GnbHBq9n8IeiK8njVRr3WUA30IIvjEkLfOiD9jRcYQMwkSC0TKAyQMAROJbJ

fEfzesTQb+b/P/kchc2iNKAEIBvoxEoFMC3NsQl6wkQ0YF4H0EZj2BNALwTQGoBeFGBNAXgWYHgFmDRiQhXwxCtmK+DZgkK5IaMeYGjEMgzyDou88+cgtQXoLXaacjOaQA+o3hSAp8kURm3fo1T9wZwGYJXIrjjBDIk87SM8CYVzy95S42/gIr6AEQ6E6rJkNgHDiOjOAWYBAPhDMA+4Xxmi7Re6I4B6KDF7AEQOqwJr6AO2Lof1ldgMB2LHAsAd

ViDFwBRwhABAPnL/h4AesogXinxWNnVqJixQpICgLQ1ziT4Yi4SxjFEqew/iQm+IABVBAawpKIFgfA7CrhYhigiIHABoFWCFg+B7se/BrNkqYC5L8lhS3GvliIC/DCRQgAwKti2ANYml+gW/goBUXKA1FiAJ/lwrxA8L8p/CrToIr64DKyQvCpgN0tv7DjZgcc54GcGkoVATgMi7ifIpYVKKM23S3pUkUTEmL9AOi8xfotwCGLrFEbA5UcosWnKr

FoSmXrYvsVuKYiDy1xTAHcVARPF3iogCEr9oBLPlwS0peqziWRL05iSlbLEoiUJLYxgfDJR/zSUKBYV6rCpaQCqWZAalxS+pWUoUDIrUVBSopXUsBWB92lRmFhG0uaUASdl6i12goAmVDK+FMyzhenMGVTKRlqtMZT2OEWxpY0lc3JLGjBBnB3gZdSCGmjeDuhmFzwfeSE0pV9LA+lysxdcrOVYq5VW9BVbcpsXOLHlby55RqteXvLAlXy3xb8sX

76qAVDS1NsCqhWN4IV8S0FdCsTGIr4ViKrJSQVxXoqCVMuCNjiryVor8VJSs1Ud2JWx8yVHSilaMtUVUrQJtKllQyr65d4oA+PVbAvzjUJr38NKplZnOzlsBc5f+YdLjD9Kpz01pALOSdRzlZB85hc4uYcrgBlz6c0EKuXgGwC1z65TwpuW3LHB3N25ncrYN3L2C9ylsA8ycCvOjTzLx5PASeVvI2Xzz1OKdLloOuHnDqx5CwMdZvPmDbzxViijE

X10PnHzXRbKvoOfPryoMr56PZ+RjFfnhsKgT84IGevvmQLS8X8m8D/NIB/yAFEbIBZnhAWPqwFAC12vAtgUNY/1iCoCSgrQUYKsFOCvBQQuzDELSFewchVmEoXUKGFNQOhdMAYUQ0d5Eq/bsBvYW5so1wymNRyvKIiL5J4i2YLIukUrhZFU4MVQoslVINpVeymXsqo+yqqjFFy7AFosOXyqTliq9VfoBcUOLtVAmzVXqv+XfLAV/i41eJsNWB8LV

tqq1bI0hUKaklSDB1TsHSU/rExXq6pb6sxUvidNPq2pX6ruWNLmlB4YNZ0sY39LC10asNQ40ZXcK7Ne6hzaCLmVnAK4iylZQsBWXLrlw6y2jZss3U9jrNsqzjaYpVW8a1VHGrjVcqi1GLA+LyoTU4pE26rMRHyoJRJplxSaPFmW2TWEuU3RLwVSmm1UVt5FHd1NmmzJdppdXeq8Vxm/TZ6tq26aGthKxMcStJW9zyVoIrpfZt2U2anNBG+zXhts1

DaXNsy4jVyueA+a+V8kwVUPJFWTqN163ELX1ojXMbwt3GyLZYvY0NYWNC4NjdYsS06rktzDVLQ4vS0mqstfiv5Xlp+VybCtYKz7NapBVlb1WlWhFVppl6Gb6tGKwFU1pyV1a3VJm9VoGsXHErQ1Lm/rdSvw30rhtrtZNZ61FXlLDs8apfgrQay0ri1vlUtbdzGmRlmiVMIAaAQ5TgF7S3KeAVmS2k5khUe0yndABQLIg0CpZM2WgMVQXT8UBa7hd

jvp65zy1MBStaXPLl1qDIDaptVOBbWca21rcztWKC7m/Ne1fcgdUPNHgLr15fmidYFqnVBdZ1Ku1eSOqXXjrV1S2+jaLm3VqBd1Z87DYerwblaT116u+Q/MvUKAb5N6t+VlnfViBP1gvb9RArfX3rvdT6l9dVqQaAa4FUQaBe7uoxILM8IG9BZguwW4L8FhCmDWQooVUKaFKG+hYwq12KKY9YgOPSNsG1w7xtQi4jeMFEXnAJFFGvzdRpN1bLQRo

W/ZZtri07bzle2lvTxrb2mbU2SWp5SlsE1uLLtMmn5Tloy0Gr7tBW0rU9scUKB5Nb2mFako02faQ9hIn7cDsa0o7AdLWv7f6p7HEqLNXWkNT1qb1IM01xe6ZfDvGWjaS9nbCbUvK82eb5lyy1ZVRoC2Yblt3Y77KfsJH7bdF8W9vQoD/3HLu9/GwfVqoH2ibh9d2yTbdon1taZe8+mfS9stWqbvsH2p1TVu31Gbd9WK9fXpoQNmaOlnWiHSfrW0y

rI1N+y/aXuv0X7WVd+svRThWXMGeVzB/lZmiFXebRVH+03bbh/2ptgDh2pVZ3u203KEtiYvvRAbO3gGxNMB7LXAdNU96juSB2MSgZU3Hqr+GBr7Wvua04H3VeB3Q79v0Og7mlQao/VZvINMb6WsO6gwwdjWo6E1yO7FQ4fR270sdma7NShK1RNF0JFsTCR0UfK4SSg+Evoj9JDl/T3YI5UYmAHGIUTJEQcDUK4nwCJwswFANGExIbRBpkQCM/YJ8

RRkHQrpHwK8siBrhApcZpwXls8QrhozVpVwCCtBCOI+CIIPwE8G/opmWRcZKk74hMG0gaSvI2kktLpJhIrx6ZhkupMzOGN7wmk8JOGW0mFlDpbJ6JAWYMnmOuTIA7kiKRLPqhSzvJs6WWUsmRCKz8Qys1WerKzCaztZus/WYbONkBTuSUR3klbNIR+pKo30MivbOxCUUeJhxHhIlNOiwgxwfxn2XaERC8sYprsyRLxQKnQokMJUiOUDFNISUY5J4

OOTaUamKUViEgKmG8GsiulPKSVO6a4nPCSA0qvU8oNiaOJbYgy+Jwk8SdJP/8JpU0jSIsvjK8tEyxO1MmTuamQF6d2ZGAXTrFgCRGdJQZnSgNZ3fxKyeBAghAApO4nqTYZTKrSbon0m9YzZHw9wGekkSuyBad6Rai+lWpIjiMX6Z2UNMAyxyTieI+UBgD6ADwd6SAmwAyNKUWJ2RkYBXCLjLh3gVpFcCCnsgKlVgCaWPo8GgiHBwIEMdUk7BvI9o

gkXcB4HJBPAHRDgBGPCG9NQDrkiu8ID0/cHmBgR+jxaDEEMdigjGqkYx38tvBZlTG4SLSYCqsd5nzw7JyxxyTWZsluSEK4szyTsefIlAFkfkwMCbJwrin8KFyFEGzFtmnSRS2iSTGInmB0UlS3AB4NBhYrAmzoEwHcmeT9MMQoT6JwqWHJQy9n0MFU6OZK0hBxlnIsMROYOWTkSBpQriNmFHHDK5qKUfpa87efvPHx6UE06CBCGnCnANIVMmGG+d

ZQk60yGZXk9Tv5Mip6dB04sm5jFNjmKy506U8+bvNeGWyzRTU3alek6mHYH0vCf2TCOKVSJZpmI+OUtMSAsw9mNGDwHxBNA6gjplYquTEhnlwQ7wAxCXFET3FJwmMwaYYmTRZIwTa2HMyTLSR2gEgiwWJDMHAiwh4QiIdo2dBOCSQYQYiqmOpAr3rmUQAx/M7TPLNfkDJP5KEv+TZkzHW0SJbmbiVrN6h6zwlyCnzP7RWSRZ8FMWR5O/jbG0KnZy

AN2blloYcEpsuC6UD5LzQWgrxyhBFPIqfHto+wA6IYmiyaTBU7syaS8CBNsVQI9wREJFcDkQok5+pWE4aVKl7nI5ZpFFM8UlJQQ0TmV7k+UC8Ve0FwpmWMIxlQDEA2AqAJjKgF8p5ySwBgYMg2QVOnsyTEgSqziGqscBarFAeq41eautXEYeIfQJ1dDJ0CerDJ5op+dHjfnTyH6OeRyeWm1GnTPJwUxID5OpTYB+04U5AFFMnSHjEphC36X6sfYa

rdVhq01YnZtWprM1zyvNdVOPS0LGEl6VhKwvmoeioRw08RIwsmIiLsRoGeUFjBNACI1VTAHeljB0WsjQwBNAdGmDbBGF087SKeXvIHlVI4SXGQsAggKK3kukCSSJaWDiXK4hg6S1XDwkpmRqqNuyCmjkWHg5gal18oMa0uTGdL4JRmeMb/LlmAK7M2Y1zNAoLGbLSxqy4LOgp2Wxb6x1s05amQuW5kPk1qJ5b7OBTzrg5kKa+FHOa3xzCMfcK8An

h/GGK8wRKwCj3D7hlwcZ3KRlYvNZWhKOV+ExokROVTJWhkXSFJVKv23yrEgfqWFi2xswegXy1AHr2YCmZ/bg0+HF7VQBsAxQqkRYBHakgQxOrqANQGEHwDx2kqHingfhEQBpVTMhdqGQ+elOR3A7wdggKHeB7h2OAkd3DNHZxCx347PzJOyeA7z1k072QIIFnZzt0T9sCAAuxwCLv46ABlkVG8tZGo/m1r/55MoBc5OgCQLu1qndAIOsCneUCA6C

/wTOuRSLr7O0u1dIDuoAg70Cyu2HdbvXSO8RERu3HYTut2U7Hd9O93cyq9287A9ou6ZhQvqm2yfh76wEZ7I4XgjeFwG1RBojgBAYKIOAHAFlBaJuAnYaAPtUyiARSASEFYAwHuwUAswTM/m1zdq61dBgEALRW8KyA+gbw+gWUNfDpnFnUHhDw+CQ/SCYO+bZZyY4LaMvUORAtD0h+6hMui3XJBD9h8lDodkP+Zktth0Q6gCCPyHT8GW7w5ocCPSH

hseW5sdEccP0gLEJW2SQKB8OxHgjtGEtNJ0L3NHsj4h5w/fOE7qYWjlR/oA1gbT9rIp/h8Y/SDQOhUbMDORQABCq0xzFjuR+kBOYuO8QbjrTg2Fcf4OjH4j0h348Yy7Kugy0EJ/Y7CfpA0YY0BRyaGFLYgFsJIfALRaXCQRtAkrUePZDvJApUH9eDJ/GFHAGRrIdkaLPOdySJBVpEAIwGwAMCwOBYBAC2DhPHAvJFg5Erxw47JykVbkEAKKPg9ZA

kBR7vAcx6M+ICygEARZJcKg6mcNAO2CAe+rgE0DBAtzCzlWNCULMBwswJIIOF4MZBJUFIM4XgHCGoDnOznlJlU8iEl5CgugygY57U8ucvPeAbwS5zc5PSxHenpMBeGo4+x2ysC56PBMbDrAqw+gLT5EJkDWcbONTX1pnUQDmctEEXJQRIvC5/tTIDYRqDFx2VKzIOmAHfXF1iHxeEhSAqz9Z9tH1Q9O7AAuZgNKFBxwAlnxCCl3C59uQAmQdPddC

SChdrSYZpoNIDyKlgwKJYVj/l6FbhhEZ2XRyKa1VmCBCvpXPMUIJATJ7cv8AIxHp44CJqUu+CxED6pWDKsMhLZ9jVxIXKYCGVMoMLyl82ZgxZhjXfQVl1S9RcwY05xAA7LnIZf7Y4A9jR1wjHQsQBnwmAOV09uZeZRRT+ycYuKG8odg+wIAPsEAA

%%