2026 Q2: Quarterly Technical Update
Recent articles
(Almost) all the ways to use Experience API: This article covers most of the ways to use Experience API in your website or mobile application. We hope it will give you ideas for what’s possible, and give teams evaluating Experience API a practical set of patterns to choose from.
Shopify checkout personalization
Our Professional Services team has been helping customers with personalizing the Shopify checkout page: testing, targeting, and recommendations. This is done with a Shopify app we developed as a Checkout UI extension using Dynamic Yield’s Experience API. If you are using Dynamic Yield’s Shopify integration and are interested in such use cases, contact your Customer Success Manager or Technical Account Manager.
Recent product releases
Script size optimization for “below the fold” Dynamic Content and Recommendations campaigns
This is not a new feature, but it is very likely you didn’t know this feature existed because of its previous design.
The Dynamic Yield api_dynamic.js script includes all campaigns’ setup, however it doesn’t need to include all variations’ code if the code isn’t needed immediately when the page loads. For several years now, all notifications and overlays variation code was loaded asynchronously: only once its decided that the campaign needs to be rendered, and a variation is chosen, that single variation’s code is loaded.
You can now easily mark Dynamic Content and Recommendations campaign as “below the fold” to allow their code to be optimized as well. You should do this for any campaign that is usually not visible at first, so adding flicker to it will not affect user experience, or campaigns that run on very low-traffic pages where they don’t need to be loaded often.

If you have too many existing campaigns to review manually, you can ask your technical account manager for a prioritized list of 5-10 campaigns to review.
Make sure you use this option for new campaigns!
New account security email alerts
To improve account security in the admin console, we will now send automated email alerts for certain operations. These alerts allow you and your teammates to act quickly in case of an account compromise to protect your business. Reach out to our support team if you receive an alert that you believe is suspicious.
Alerts will be sent when a user’s password changes, its 2FA phone number changes, or it logs in from a new device.
We are making this change to align with Mastercard’s updated security guidelines.
New Daily Activity Stream fields for convenience and new data
Daily Activity Stream is one of our most popular advanced features. Used by many customers’ data analytics and data science teams for various use cases from data enrichment to their CDPs to full-blown in-house reporting. We frequently receive feature requests for improvements to it, and this quarter we have released six requested upgrades to it:
Dates in section’s time zone make it easier to match event’s times to the reports in the admin console. The new field sectionDate, available both in the raw and attribution datasets, allows you to reconstruct the same day-over-day and month-over-month data the business teams see in Dynamic Yield. Other timestamps in the datasets are always in UTC.
Report version ID allows your queries to align with Dynamic Yield’s versioning logic and match the reports in the admin console. The field is named reportVersionId and is available in both datasets.
Internal user ID is Dynamic Yield’s cross-device identifier, and with it you’re able to track users’ behavior across devices, as long as they’re identified by your website or mobile application. The identifier is entirely anonymized and random. The field is named internalId and is available in both datasets.
<svg xmlns="http://www.w3.org/2000/svg"
width="434" height="220" viewBox="0 0 434 220"
role="img" aria-label="Device frequency chart"><title>A sample bar chart showing the distribution of the number of devices per user.</title>
<defs>
<clipPath id="plot-clip">
<rect x="70" y="8" width="334" height="172"></rect>
</clipPath>
<style>
@font-face {
font-family: 'Mark for MC';
font-style: normal;
font-weight: 400 400;
font-display: block;
src: url(data:application/octet-stream;base64,d09GMgABAAAAAJysABAAAAAB9kwAAJxLAAEAAAAAAAAAAAAAAAAAAAAAAAAAAAAABmAWi2AAh0QINAmCcxEUCoObDIL2cQE2AiQDlQATg/98C5UEAAQgBYp5ByAMgVtbmdjRA0Kwtts76iFBc9VNBvXp1F2kF3VKskPETn/rHwXNIm6J2FRATNKu390jR9Apa/WJDPB6iskNLXj2Lc/O/v////////////////////+bSzrEFVJC1+383ZQgOUVIGUWnlBeJUkKpXEFKlChGoBSriTKwiBryuvNYddbIsxhTk9DMEA4iNPUs5TW0sFZNm1DzWhGFqG5HqI5UAsEpjxxohjpBEcHRSe4AVVlLu4tdFYLUrekJ1NuVt+jaqE8qswrrH2jmFebdfJC5UFB0IZJTf1YDtfYlijRUpkiRdYCchh2C04gEoUODLsHJ2WgxIiehVK8r2hVjMoKUCaHGh6kL2XAlZdQsuAsT1DI5xUepIrsG2nyMTbRNU9S3QsioTZ7BLOR+7Vz3vAsLTuCj8jwM1PJBaVHuMLuUaNkJrM3sin0aolVe6ycHbxGjokcERGg6mwSn3jVNpy63sSis299YmqZNntOSshHA9Z1bTV7j27QDsRS60K/Ku5RgfI/qBFUyVN6vzgv5QURZ2hJKcrMeAcqrh+IROw7SL+cBYwutSyedBGldyA1V2alwRgMQl5S13E52ToBtXJi/tH9lv8/+tf0b+7f275YJHfdu+cH+o/0n+zvBW0J2iM/2X+y/6uZ0yc6b/Vd6J8gfNp90sLlq/1PnNkftf93SUxbZArkwpqhLUMRLKcqR7taXFbfCNxh0ub4IvDFkvfpifUTRFLYI96PzsB5uQJsCeMizFalVbMXasxDt/IrQZPeSeyiUROj2Odif+C4nK1EVJfyKiOFyyYMeJqEzaTNTHawTLNod1JcsIkzSuIRQR/zon02DpVCJihDz2lExBowSQrVwf7ce2W8YaKIEzYi6M0aAucYlGOj6vCPwf3qgdt7kScoIinKgF/kZkYy736oChIQUaTKYi+xz9e2plw/1Y9IhPA/XfBeRdLf6K9FhkwxsRkObWHsOwNzEBMVAkehtsGrGikWzKpZF9IgaLYhImYDeg4AZHPOKGI3X34feuP99pP7tPzx/rve3BOzo6sTOCYv8dde1oEWdE7YMD/+7dLlcYSuUXRqhwOitmtxY/7pGxs2fbs1DsY3kVWJRolDR3m813dP7vj1JSBqHTDKk5DQogZV4hL+d+bcrd9uZMzA4AIH2TZU2KRpAC+MjqJI7cuvflbl1YA8WDjuTd6LfTFOlTp26gE/TpGty39orOvogI/fN5f4k6ZzY3A682yLbxlaYCrMFfp7oSqSAJCDrqFKPA1I/hxQXW3tJ+0iJERIF0pD1P8D+Qb93zYwo2W97kOyByjvHbCftLIZeMluw7iZo07o3TcurMfSMSkIg0OQ18VOeD9GX9MWY5k0yN+AnjlVpMLugyxCh69iyz/GbPk+XZaFiqaVHrj0hAhaPIW6PKDGOAvjn//+5p+1zAws/iM+qAbGiJPIHc7LSG4MbBBvIsC5b/Qih4vrS4cDBvXvDo4PjT3P2zQQKbwILQv8v3OlTd+7cQNosB/uzwIFnurbRHxG668RdW9p3mVa5PgOplW8ozQp9d4kwjrADiq/KEFvBXeHiTSD9DQ4Eb7mYEqr8H03i1OkcULEgTslFmQ72mXKQ7pacBF/MzbnDwpPQY9zIsmn1Z0K5AreWjq4WD9/Hfr/9Dr6Ih2gHa5oSuWsotBcJcSszNxLiJX/+aWyorRvuxPQ+WEIeg7WBOvXaDh8LWFUHAYVdAhEEGqjtW0cXbGSM66q2RhUOtAByyXk88FzuHdlt8LHERkX/BOqwtljkk8+oEIuIUGkVCIuVIRM6PCz36NXW1coJvQkjAXI0+W8JH7PdzSyirYEX8AMl/98aqcgoaTtHV/tHVacDQL7UqMI5HyT9YiqqQrF/gLKw9fS//nso9ARtCl6zpvPbAPjvC7jWmpV1XVxd/D91z4QySZB6My18aIMDN95yUJCwCg3jsBATYzEYozEk+0fSEXtQRmVaXmLGJzjhxHSrB/wWDv4FHsRhTDz+jmqSqhG6kthYF7pmQkncmy+J56aWHoje1dbS/9sbXPxcCIRJTFtpWqaLIlE6vrGhfGaSyEYKP0qUTgPYve0D8cc5UyLer/y+5ys6Rbx946wUJC7IvOPh+/v/8Zn9Kl59xs88vLTBAs3s+90TZeGeCTCnekAPLJaAPP+/tT5t1TLbdZOw8EgKlbg1cPJq/uymen6g5od6eeYv9mKHgCWBwuofquXqxZ5gT4DUxP2zMiSJJBsNKGSc/DJWRsgIuZealakB7ac0094bpuxGN6hWE2LhrNsp+XkjB6EzoAnNUKRma6wdv1nsIA4u3KOpJfWnw4dBQbyxQLKzRdqR5DL2Fa18Td99qb60ppbzyvoiOc0lpVXWCkrgsxAalg/BYeBh/M9ZSuNxfpJeaAnoSUBfFxDBIijZ39Yoq9cZ9bjc3sMDS1eL9Jlb5EmhwkGW9JQm8bEHjHWV0KzQ2MgJeqLcouwR5KsVzg2NqrTi6akm9LOXasOXEc7tTtTw1IFCUoAIUgssQpgtSvFCDyBze0IuRguiTArpqgBUwJjjQ1ZQn01jbISNjX6hlt+WxCRioZteXlhzFLWgqAwC6QUWEQSQEUgsQEhOrOFB96yAMa/0RC0yDP/03oOB1x6Yzc2nCbaUs7T+GMvvwb+OjBpzzIyU/Blrfk/NHZd1+4uMzCEiMTxzgu48XP8YzupoV/Ssf981aVJI0KADQ+RMjjGtnuzXnq1Jt0RNNKKCDMMM5bzut339J6fM8rc2E7PJIEYaaaQxRaVSI9LTs8brW6gaypj7ogxbWYhIoFd9FTwNk5NwUlqTG+HpQ65dePD/M78qzvVi7VX3TJBE/YIkCIS4PB5CGI/HpXS5s03y/O/z/Yx17jTTPToD108YY4RwPt1tChOEUFzO47WR70w+40mHs046BGOEMUYIE8IQShhCatS03d39xGcqe81eUbui4qdQmZhOlrU8Ivw7J9FO6KqpilMjYoRPKSMi4jEmok6bWYVk2MfPr7nOEJpgiqIJ2SuYYIR6rghAz3yTZMbblv+iL/UO2TsEE0L2yl7GCCEejpv/gU5xUyEsBGGGWD8lTNGdvUyFWddsR9Hv7VNqzT/Q2BB2JOz8Br2fXb988xZSIOxPFr4bhcK2merPKAAarTCwGTsUAwMdRZaBP2nIPSvAUjLpLAGRk3ppPSITszekweWAR7EcrLQCRMXKHMXqIZxVRFvNGtHEWENsxxA3Z1zEQ8eRMKcokkACyRJJjaScTNqcnBSAUgFFGgDpgGQ0CMgclxeQM4DO0QEDBwERUDDQDQczhyiwEEgocNAQGhMnD/udwgESTcjPLxqC4QzBZsm9FE8LjMTKw93uolQQ9I7GneYFyIQKkUo82u12pEjAIDXJLIrelLdQVNAvqG82L8ArWq/pvZE73t5ucDEAZSbvmeNDf2S9Hiw28Jk9f+G45isnFS6q3NR4Wp3vKoofaAqEFm15raPgCkoh0FNEX3GjlVyOlzJgqJyRijYWvIQLYKqKmeo2V3MRpRZYqmOlgbXGthG6gNIEYcdecztofW6otAFYOycd2dnaLd90+W4dF93xI7tavwnjOW6e5+6F7OHFLE8v8fIKb68ufRg3+PJjgmXJ/qwZAY4IdFSQY4IdzyFOrgtlizDhTuUIy2mRHKI4RXPlGO5nxfKI4xPPP37Oml8Cfgv6I+yv1/I/K//vv4gEUYliyySJVclSJKUCcprU/0mXlmFVpjVZ1nO2jWfgnA68HGDOBR2SB5YPVQDLhfCDimQVyylRGKUTKFNUjlChpBKZq5QvolqvGn1q9ec6AxdWb1CDIY2Gc5ORC2k2qsW4VhO5zeQFtZvSYVqnGV1mT9Pr3OXTwN28qdeCPksf/Zbv933AChi0asjaGJ4+IzaM2jRmy7jtbybsLJq0l1XZB9MOesbhAi7AnGPzTvKC03mLziwh3C3vbU+RV5BnNdYq1m2EaCHzj0Wxa+anovQzROUXiDr/CtHsmngN0XkD0fsNYhi/z0b+gBj9CTH7C2LJf0Os08A/EJt/IXZvIU7/QVyf/3NPfeX+sKDCnz5YiPy5u5aHu8Xl8lfCOJVrBVdYFdZ4zdVSkRH8uqIbUlG5qtSkCYf//0P71D6zuGV83pd83RFOc7kziQoyzX7Oc5/fOOJJadbGL1H5nQMkGscKYdjihAvu+KCcOrrJpLShZh31YtP2Vh/1/3Z0d4d3rAiZgaErxn0/zdGkU59XBqFw8zK+zfg/GwMfBp8ET4MvgGfA18C3wHPgj8BfQ1ZDfNBoaAw0DtoEXQfdiNRg4jCUbxMj/4yKRJ7fAKjnHkbF3FxQHTVbi3WK4NHl3uYyVapRwwYLqOzjXkjtXds2KvNkkp2c5SovMcadorTEN2E9u/ClZYk1cMbtuoxKmoEOLMdjx7ujENGok2eghNCPX6MeuaN8bS92Fwf24pbVUIw0Vl65eKCzTCdDArqAmktGvvgf7drU/uzlMMhMpKxkJjlRsUswFSmOLZbkRhf1/w1xmlgiFuYwXzgFvNzsVBSEsq6arqquigtDXUZNRUnuu28+eemWzHuE1/O7H77auNSYEzONsw2qATzx56675l/+F777u/7R15tlTlP9D5NncObXTA2SfowG0IjxoNtKQvVVPobrfrNtTYbX405aDAmBldPSguH26tBhfguZclYjSX+tQWUQtYAcq+2gmE3xdjuRiGeWIb9sQnOwXJ/Tq/IXUhqcKORq+XQ1hr/7lANB4vM0RPYqNP9KSVUFC7R+nPuJmIe6DhDkP8JD2n1vPmrFk7vh0oIjk/AoUvKB5qu4CgCb9HMvlucFGLn08RSSM7E2Ar1eBStyFGg/GU8W1X0SxSuY+HH8m+BTUblNo9vC7hQICuKeJt1NhCWJW+hFqKdXDEipV0blr3gMP+limK/CLwoECI5W7yH4qYiaTAEOWsylmB0ZMubhl4d7i+WsUgQFets/v0ISHph+YxFfXPQo5s1LwopQQNF3bhfPdhYCPRWEFLLUALpft2JerSfMWkxauWi5SQKPauKzLZZIgI+5LOojDpEdCUozlfJLrjLlxjKaBRwdv2EVzdRwHf1WQfU3xvcPqOPjn2P9C6OXv9OhHI4Di9W0z++tOwfidiykLdt3DQ4SHikhM4JUFzFgyyBAZhupzLFbkbbZIs4rEqAEvIV90e8SXV06BMEtvDybRKZ9QfAKT7T6i+dBCtX8Bax+YY7F30r5mV7TFmn76GwuDhrT9YkFJEkadDitJ3PjdC58dP6fmOseeqcXZ4rfcH61Qk3k0BbpFEykK4suxVIDZeRS2U5IMDIOSl6RBlwCi4FCtaIwi6m9RCoWszqZ0WrocgmOPcCqKTJhaoZcLqnWGiswCz4cTUmZ53QlbKV0Chxj6SJIksCsEcthNb4ejFLHFw9swlHAPRMfuhdX0I7nzRbfqJWJ+h7z1IkhkGkaygsi50dVqQSIThW7RKMleqDzqUvBWOPBKpTsurbomG/lJtQc5qWDvh5MXAfggWU+eiLWoXwpEw3kPkfESuehpe22KY1py5vXdTRzIdhS6/ia0fNNNom9jXaj8OUYizC0PZ0kdDRP4fjyyIw4ow9htOOLqeLCuBoC7wXGRBnb3KYXBjOz9MeqzAO59jyxnwaCbiF2jh04RoUHssh9x23wMi5LthTj4lQEGIw6TmpO8A8LzOiil/kpCqjZGPBLOoiFFA2YAQuJzI4nG3bkttxrNcMvK8a4qDsEWTT9Q9BLk2Iixa7hOhHTWliwADQw96GDbuksta1WAhUratXn77y+fVISA/WXH/ytn181nMc4eOBbo+Gg2FDm2fDI+qjY+dBBnAAyKAL0Har0qIureljf/dD8LUw+SxkpQzT/hRhtrn8P6m9AEAjeY3GG/f3SN7AmJWJwLAKPCQBZMQjAvIMwBMkaR7ZbFUaCfhV9uRgvn/hvzL5yGZxzdvf+4a7IF15U9V+bYPdzMUKx3t2vnUMkqMl+rXyGKhgIuiNOAx3vIDhEKAfQ0n+68a9aKJoh7pDNxKin9e9T/GUEjb9appbaE5LxldDa9yEWtXWm2YEJce22SpkZaZW5KSQDTmQPoJ7qFojq6l/hyAi12zM0aOF1qTBcLlyn2S4e0W6+Kv+otQGjzOS8WAd6BxouCZZJasSB4OTQ4UD73ScydDxW07rRcIU17Q7nJ7MZS+/j9T6kNN/AFYAOHUXulJ2eYvKRxapOjFB5j6Zq/HYqhezM2/zu86xQuR4FuU3AkuM+XSPz5kQGcrXNxyFZhpYWqQZeQXHQ9avfze9JyPNYQB/7KtkB4Vq//N9qrrNCL/w4/Iuv9vQPuojSf+NKUGugq8/oC1VTlkpKjudgDyxhamoC35p710Kb194dzdwLuxxUXztA2vFLhAWQFSrlqEnnbVi4L7bcdQxHiaO5G0LtExlwH5pms4OgejeLunsfx8AxrgSzxRgzXNOGOHGdZbtCvfSG402WwctMR2x9A7C/72AthHYBVQuU5qfy+jy148yqjQRsde8QjuCmMS73CkhGMaDEokFeNWad25oXQlm2U5gebJpZsLGwySIthoEw36OuClJjpIUhqcQtaFuhk4iauSZrcM6eEFWGE/6/vIZTGt0TEWYP6wXkeC83wKzYDWvylCHi0JQ2cQYkDQkikELchPnURD/roXLkpWUNoJ72tGkaf9I9iYA9IK0X2GkJzV9Zv9Er2MOgZ/Z36/PmiX6aM9x7xqLIACKBcNCWuyKlXGw1oJn6nJfidv4InWzzAiqOtxfUVy0emrJgTLCmeEI4Ieu5ezQ0WbcOfejgkQ7Ho8h2n9E3l6i9MrK28NvP4yHQsgv3bLCEhRE4eA7F5M1WkxFuOFzn7SZeOwuuZBb2cbDWEeOWEAjCwzDGknF+jpPh3XPu9bpX6OeJLHLF01kBi4dvT+MTguZA8fIZEUtLknXc6fNzJjMQQLVJRm4cQhKT6OsVnhTuT7gOQYbmDmRzFDHKF0NAucgY/wNJRpgeYNUOIijFuEBu48cYGaQj7msW4kWE8ilbdAgDeEz4QqyR3a1W22U1XfK1JPs2l0plc+3uNNx3yRKAVLDR2nu393/UUc1thJ4eMs+foZGwD3GVMd+AnAyhWme66ybih4hnHDAL9mEQ74tpcAaJsBPYCQfxiP9do0xfhb+EZ7YXe+LdA/FO4BWkG5Em4gxMZvFFhl/TEsd5igDCwpFLme1r3xBPFb/S2qmdu82fdz9+Tl7y4QXheuo4Weg2MHZVdZw6ZvO0ZdCYOSi8Urr0kAL1IQqjJ5E0GG8Tlcnn9YCppRDzEYQ4lJNXuxRADd+x2g8OCZBAoLT3ICVac/oeagJwULN0mbq0S9Sq7dNqkOsZZx2QJ9XgRoemQ4Ok0e6r+DLTBZMdmwEbV2e1ySGcxRzreBWL+FSVu+DmvYHTLSimmVV/nCNSnPE6T8cQThlf6JppxucRWjZRg3DFh8ae9Luqk4jA4yLKgouMV0o8I4YpUqJwAuUtkGVlucMCfyfLLzdMV7ucgnq2mjANaPFpq7N1LgFeFbC8/yipXMxgrpSNDrPbsEv+5jKnlGDI9I5I7TGUA2tG5IMqZlsDLvxuhc0zNFE1QwwWgMxQ9vl5Dp99ktZG/uVFScB9p/TCEpFcb3IvGbvR3caR3Z5hc7I62V57t6ImHIJ7kXLM8xXPQ2wLNAIDHpucqhT7kIDMIFARXmLEg3ZJiycCOGrwKbaCXJTOdNl5qUbG0FN73Jn8ytUGrN2ogG0y47uALbJ16hQRogCZbiHxyEYVkwQGAFzV3MK1rBRy+2XmeA/rlNRczI4MMYZH6NHZ8P44ntAGsX4nG/5OfeFfGrfprCY7QVpEwm/60GHFHqIBDDARL+tM9fDBSX8r0+3xyNwUMs432WHNbCHIWHQHCyHAIiazymQIYy2ATEh/DyHrxYp1oBrdx5XkkCK8Kmu1XDAp6deKfNZys9V4q6phKlUjkzpT1TCp21L0c6ozEUJeiDcMAuNRjeEn/dCzDJXab4i+61Sde4yDnlBrH7p37XkauJW49PLSFCH/1/xXnhcJcC05Xb0e7FYUR6GJ+cqjcblkQj1MEZdzT3LJ7zPYcTa5LPQj+gUDIi/E7t1EPqGQ7n6yH7utnzITfKxhhOFX96BEVC5H+vAdkqk+T5jjtC6EnC/+8fnO9jtvbEmYnIDpALq+Er4soIghfGtdYJ+WGOib0VD4vbhQyYVwdmqFN3LwJHl9OTklI93o0JtufZt5tX0HAYRgwSBMHHjF63X6Gqv4J5VTTyGRphFqsDIHoCX4MZeCEdGOo6P59IyzSD5+PoeZ6EmJz43RMh4+wLn8vPDKHwo8oVxMAQuhjkRiVMcuAkn2w5NkEJUi9hjiJVRJDH3Df71W8ibGY1vukX/ZDiwBIKAV3a+5+QCRvsxAA+4OC5v4zlzwDZVGNd7XU/4Kh+6kNqSf0sm9Mw0DEApcluA/tKrlAhYySRXaLpixhv5ybYzmIC0+tXtZp+uVuvN7AoIcmqgcIIZjlVkUNEKWxmXT7eUDe0vXd5dHfDMX4QXQdt9Bjuh/2+1t7hVQFsp8g8eXUM3R1zG0h7Wt+dp3V8RqY10ml3HnHSsx2fz9/qus67gyEeubKroIq4+9mbD2Lun7/xTI8iSimLnzoOWhrnyD42VD5+23z6my5N1j93OvaMvWT81FXTW5GF8UhQzuP2x+pK/YVGsXtG33cfMsryrVYfHQ65V/5wL3Pn6eT6eCKeRg+8+iXTVcKOmTsSUvM1qVC1RYVjtsi3okHSWbfJPe2aLuysgiy+eeYuDFuJP6X18/9FbtieDBVyg8z+h4pB1bF7ac1/W9PO7izn3IP5KZsZeoHNDCkpKxFeNQoYosT80iEuP5I+I2zkDNrUIbR9gIsE28yRMu4APrlsopYj87fDafwhrcPYbkAEuRE9lzbu9yJKr3jcYybnty9/ms7AtTatNitMhxbXOoATXCRAnNwI8GyWO4wy/8qvGZpD6RboJTiCeLzqzA2UQ0QcvWWCKTY5FanhPf5isHFrEW5mv3lw2RQK0T4RlmlWDWbjI2qt31VbOi8SdZAq3n/GbxROq40OhdyTsnE+lclgPvOJ9rMjxpI2FVAQSk7bS4bNbnbWk+pgjrquWmVRTLEVdWiJu9crw9tmrH4JQtvWJcRk6WmCszJHyFY7MjD0vRWMX1zXx9t/WNfNMF/WS2sZn2srLXMikQjGyzQbNw08Ngk7WLEH7otp0t4pkit5VFrCL5vMKSXA+84vhynsehX0lgAleCRtVXs4/XcmUBlyvkVdHXq9R/JArMEiTZC3f6575GAgrWPBofNmg8kJl0ot8voSskLrXUZYvFx1I4K6Bdl+xNdCv2MXxCJaAQEPWBcPxQdCAEF8UlncUE6AS19LozSMlp3lJgB75HojiLN+D9E6Bs2thMGumTmnzwroDd5qF/FD9/SQBf+sMhdsqySg6Kzf6W8wGL8nYH3qNFJl/xHa9ReNjxRqh14hVPf9kX0+BZrkuwVg22gnv7unx3tzMmuv8fcGEnDv3Y9TtP3yU9a9YLZruBlRtFTzOMHG8qNyB5jmcc94KXoOGeCp4zSRYpJCr1n0XYT+4SdbwrEdae4YGOhdqolDioLJyjxHkl/MNZeBjqUEhjL5oGuDOYPmwIOHSDV0Lj3bJEl3HDWk8+wsprruIPZlRQMo757T5HhcGlER1Oswm05GfmcBoswPmtOjFsuP87xzh0CYPh352jWH9wdmy6AqRjRukn2u7YysCqRKOcsXWaaq012j2Smi9udCanYhD1fs4BIsk9Cpfa1dXKtn6Zb/ifIbkj8Sk7LfntcHuc/QapEsMBHiflvAvOqRP8/nJy4HMfcnC6NwVfiwVmPi9/jqNdxf96rgBxf3cn/4H7r2oS+nTzPOKFyUUZR2KddxZzxYbf0V5XvexJOHfs4sdWaBqxX7ZzJi40wy9vFZSTBX15eTks3zkb1zTLy29dGJm10AwUl+x0VvKFD//4sLKL7jASa2UGRmehaxNVF3HZ/dIXdalFOBubZCs8ICLooI7ENS+/PAScPrtZTWsPOPpo2ohzLWdrIy59zuEbS9q38M1Ln5n/qS4ra0i5IsrN+BYoi30daDBncGhgJSG3uaguqTfhSndOHcFoIjSIJQLNqMPnCGvwPr5BIgbgVkOI9HX34z+s7afM+ZHiNFOqCocDmfIMJFqSVodQHWrEF02iOhJGKNAYKBJ1l0zGC6tR1x2KT1VyVI98lt81lf4+fStFrrTSi4FcTRvaqsfXywTwKoHfbF7ym8CE1sXkErnoMq22EisSBFFqJbqYnQ3L49oMuq+Xy5+jVHDmnGAhJVMB+DqbInrXyeMQeCkiKLjp9scQyCd34zhL2v87J03k4rL5N05eW3iHfdDNF2XKUrQ4dKqkQ5FcEScYfYt9ywOPWW6C9/Y5zxGeh0IChaE0ktqL0EcnGh7zVoyM8ENveHJ0vAgTydm+FWFOTg3CqZXCgVkTe8PVhA05/HUOMP8r+bw3pYv68vV3Q5JpwDk6u41NaaVw27h0sOy1+8c62o+RGne+bf92+WZLrPNJeFZqe2IVawoAksZvvDaE+ej2cCRoyzrfgdzQMeGyqTPC5aEjB7Q+/yGt1kTLz5wRoeyQYYBfydJ3Yz8eGhIQrJ3PD7K0Zpe8GftI2xPkUpnPentpvQ543vrhf+vOHkfw36kX6BycBpjStZURKCZtNTITizHubEN86z1lb3LNYzqZK9pmpgLdnBwnnJWlS+ZiSWyt6NYMwcBgatPzGW7RYI1rJ86w9rqVr7Z5+oaFtuw8gJyNcnLoGJuKXQRkTmyYoLkBYibcyqDAzDlsLygbq47lQzvsbvsNmchOCCbz7SNZxZ7sHh0zNUDWyBly9n1Eau7NCFVV8uVPxpOjZ3bVba67L6Iu/F5s+e6J0n3M8mLaVmMed1dV+Rjd0Xk/IPGavBTpXoNXUIiQSCEFrGxIQC1pQZjDV1/Yy8uIrrJs51bUsMddbt5kTe0kz+2WpDU1vAm3GjeEUlT2HOalr1RGxfypVIRWqJEVAgGyXGGSizIlL+9boUxDwPD+B3r4Xxpo4pu9/ToibuMs0UTjasAFPJt4oNm9j+BysWpyk7LxanjwnYgPFHSaCuBnm/m91c6dBIvlXYLClJldw4NviwTR/WkyBtLGYCHtMhYX6eicLJSdxUDZGLAsONnCLgfoODgnm4VzKEyyR0rLgWKxa5TzlQH0oMl1gpgnXWrMEFpR1XOIA/pvklhxe5ffbILn+huOKFdqBDtYoUGzgt6WYMXrq7nv4jH/rCm6XAFnJwU7cM8HOFfPuX+spf0ImJlrOSUdQP4j/zY4hQYK/ZbkB6ObxVE+UOPqi4rp8e8mVfvY/WZt5lqvZ4BpWRo++0OcmVMJVN0Un5JsGsqiYpYDBCuf/WMvSup/KFs4b2Kmss3x0cm00mM9HoqRCP4GpYmvVQ5Zfhs79NTe0fHUPzZtCRvZYZ4/dvrzQEfeaZ6Kw9XZ1E/k9YUXsnb5WgfNJ3EPa44WwS49WgaPjS4ru3SrMOWwEz4qDxaz+UaPLUoCQrIRsniMpJ5uKMAO5ubiBtW5jp6DksZ9kwAcKDNsz9TBGGJggM0C5k2+HkYkisqWlIxFAQIa6aEeazGtbR5NW1t/Oq2qfnx65V83jlueZbXd67NR+BpwMd/DHqizH8QU/VS3JPs0sA9RZ+b2uJgAb7ZcRzJHPr7HLYlTZaHNfJ4sTkUujePO01mFFQlqOtKeZtqupllikeq1HF3VrdkKa5H6S0GCNgml4P3KWu9eecOg4P7aToLWtU/mqb0QpBY0K9L5/qJmySaopvuld+K0JWJiAugMm6mQ3+Dtb7T2nzQvGB8HGORtv86PMbny68azsqY+1p3WVo5u6j8rbUTnUtlh/f0mH9KXi3s23j/+HW/NmlfPNg9srh1ZE08xQEVv6R75zVNRU21h2t7zVXj3yfjQH3R2SaMbBvbK3I4hZkkd6+ji8uae5MhlUaOahUPvfeLtbHlu3zvlXnJw0hoxefqlVy85VRvWxJG6ubow5xkpmStRc9xXDJypvlTOPlhR9U62TVCWbMEIs981F012SuysPLhEA6/X7BtBztUOkCyxbNMfludpR+zXrlhYowMDWq/pFdJyNGz4aCLv2IjogweGsQrOTxIfXEy8fPFzn7Rs/gCm0mLqi/kEm2XYIIp5/ZfeybOWiPEJS/jkmX9//fqXXgXUxHgND9TevcW3T76DfTs6aBBX93n3o4CZCo2pLTpAqSlkbvd4RNUUoK0Ih4/dml19b2BX9/ruXesH0DDqfUenUnxXXhd2Lmn4ZHF91Fm00s16+fhOjN/+tttHeQw2YMex2dSngGHL2hSeuHG/3BsDuTHFcyis3f6RbaudfpN+WLw3s9KXvclhYQwG/ZNZgbCLttOSr+j9w20tzSNNfXRN9kQBN/u4PMgvB2iYaBPVvq5iIKkhThvVQ/OaskJaj2zbWv9JYp6kJzlELBD3OIrmtG6qiIoEhqg+zcQgWhi+wdINSW3xhwCXzmy35WwM+Q+QfJse27RKOfvhq32vRsQ28D0555efXKQXulpOc0pKJqhNdiHUPdLsyOyxW1pRchkAWDqO5pFs6dratEX1Z9Ni6icSZx8kPnxAq66qTQDXn4lZMxyTMXwm4ZBGv6rvx2y+tFdoJlcvFt2vzk2mw7M3jx887qF6qYfVcuVmYReHOyJI9RBPtKxDg46wOZPzsPzyPwZO12Izy14NHOBEV74JMx2jOkbDFruOdqDChhcO17X+UOQLqqIUhW0C1Nu+lZhXMb3k8WbKeDLx/jKlVu5y2uvCqd5egmibLt+0WVjcmn2ipJhxsqh1i9CUt01LEPasGmew8/BSK7xNpRIozGdz8gnIgLUpVbBWoBoAE68ao4hjZGJxCeME2SoZA8NKAn9tb9iiv/1FBO42xcIHb87JFlYq5RAUVuawKQiK3dQJ8vEBgOeqa0xGFtktl4pIPGYAJ7Mg2jQaga5WAM/klVGOWC0U0ajM5XpXWN7K4BGATaDSfvvLYtHeEJE9JA3sgMo+ybQZj+PfJmH5Vq2FsfOtVrWKERFQLOAkD31sBQ2gjD1Oge5cJMMFZXIfJFvdlk2QuQNakgFgWYFz7eSVN5uds4xxqqR5RGAzbuTnN9NODqIWcmGFXKkRnkW1wvhSROFinjbu8pSsQ0boJ1zquHRABmoQGYowEkkw4yyxeoEuCZcrCzg8tPapjiLuZFXpGMVZeJb9D6PUvoVm5JSC1VJMhTyfxBuRBLT93MJGxrGSEnEtatzEzfUMSTJ5zas8MFYeXmKCN8nlExTmsTjonGZYk0wOCxHwzJrTXze+CmFNJlyzsrifX93YVpZpSudywTYasz8t7E6CYCvLBOyf6s85DA/AEb6F534qsOlD1WX1LjA/qjEl9EdhLPIrutB3OnXboZrD13/cwjpa85G691ve4CzAldsBS6OvyiPknHNlsV/bqQ1VmYJtTH1gSAeX7xdl66C21b0Z0THebJOyZJBX09CdE2NwqreVIBvmmQAnrjrHhJWt7Cym2CcUFnQ6R4XBVnZKowaDA4517AK8PMv4ajWinUCazS4s+1qREAB8ntRsWtumIHDn7cKDe613LYE/rARRYMS2fv98Am/s1HPbI5U3pCLwO1eNM/tdF3D8qq4nre+8aHk6QQOmCtNc2aj+qZ4aOLeZl3PljdYOXqx0ORSds4Z0BUQ3cM1Rjqi1cetbi7iZ+S7xOqjO8R5ZROMV/NlJchO10afCwZRckS3KFdUb39ztY+P8JlEILPfuIT2x4QDcLxrQCn4RRKKAVqsWnl57Onkw2bvW+6/LapbgdKlwMWWw2EnvC9h7MCqVQGFGp7ifyQY5/l8qEonovxyDw+zPpminYonTE7Ge6eHVC1KHi6PZeFPRl6fGV45HrNwUsevMtG3lidUrL7NtXvmA42bjKLq5yHle/aTkC9b9/X9apDdskjUnfllKbZ+C60nbofymn3aiLEBLDvFETuJsevuTIsDVqPZZDnThXwhB4uI4DTTixKJa2zZnypSKZdvC2vATC8t8hXp6s3jHxHvhh8KnFlaUlbhacIokQ6IOHnFy/5E3Ob1D3MysjugNW+zWG9/YGcZaUX+VeGuVLYOeXX3yeFIaWgSFqjTn3U7doxBGTv/hBz2ue/mkx1a6n5vVSQFzxk4PMV9rR/WKchc/cPlYs7xDbQsRxt0uwoSt0VDqT1weumi4oPS2bgex0+AWpFVQDCr68hPLV9zx1Az53NG+vs6+d3/Y2bbzShl7X0n5Fmqud4+cIrf611VQhVQ3RKSA1WjOXmm78oOFBTonhDVq2jvV6ta1i6pgXG41bFHGt6G9iwttFAigDVxolbrN59Vo6YWtHdBtndy4eTufCS+QKDxoOs2L1hqigMlAoBleFI3uQYGfPfTHn+WrbNdtlTb2Zra90n7dXoXY1nmggOPn7K2svtQ7JW1sXQcg6z57ileu0PFbavSjSIugKb4c42QL9f5z0kwzNC+OxiqIV+BQYjysRIjxAG6WRcuW1Wfq5Rg/R60M8WHTrAqZnF1fnjuCMbfc0ktEqsDucbE/258oxsFFaFW3uS02f1VOZCPeLCEEuHpVKAVybccNsZkFswsx7rQbJau0I6RpEXuKddu5OGkxT0tvU44HNg7kHaXcLCmh3FK1cZBQl0pxfJDf4je7DaRR0mo9gNmUW1ebuwm732rD7svdXFe3Sb8fa+v51ejUybxfe6wTfLTQRiTVXT9a6jmybD9CpkAWc4XoYrnMD6VJGziFASlJdcRaah5mlJWwtttsrBGFpWwumXIS9aw1H0bRXCkCFtTF31meG++jiHGKZG9KDtrcVhQaXa3Xy2RkHfjTUHpbqzEECcVIul49qMxhoLF/a1ABp1vjKlt/Z03Rj2j6GPn5jH61itFHln6GWjvAKMjP7lOps/snUFVzjlWMO5gDU8piY8oIBMhSNANbxmZhS0HpfVWPuVlV028o64X1iasmBVLW9wUWQH1iYj3Awk84Ec0NYnU6fAWPJ2BQkMutwOp1OBQMBps5xfCcVEOaGIVMkxhyGY640BIkqhLwksFeCiktlKy2LHoLPaHtfGnjH41YyuWpqQ2jbAZXBFesgnGDIMfx7v3oLH5NY1t5/WBhlQhLnuvb0WY9tl4hl6BZ147Sl9xV/WQJXJdU3NBci4iM27KKX4HXmNC1oI8Oacwm+ahSm6HkslqpTTDwyuCCtKQkHYkklJQlHOmLTAYREmFUBK9hy6mCU4XrUYXvFbjXFb3gh1baDZj3Zqa5t3d0lBmF/LmVcUIv4InnOFlfO9DUeAjDvo9mP/Rjv2yt3G7TB10fBI/cXli6LD9oCS2H50f8tyjX8N/i/+eTWRTh1vG8iPlLoqUTu/gW6Zstqj0/22FwViDnVPZ7VS3vCHAFFb8AMfq8at78tmLMcbgAPo6f2JilV7plvaZ/6L0zKj9Ouh07AW5iMEsNeWOh9nf3sv1D8ZCh8NBS9PTA2Pru9bKBDWDg1IiTa3LxW7ylw6w88xZyoY++Qc9NLSHrJfTzdCODY80Ich2UzV7/uiw11x0TTG66p1iNI1vSOfwMH48L84l5fhCL0QbNciSLmHCPkAN1C7lOICXbCeGJM/K4ywbctl+eMNFHvquscXkGXd3OAMqHaUjGuOXHzRTdSRHLgM1LZMhrYVoxKo/NRt8efgvawfrfEWyA9XtTMkVZT97CKng1me2qGDeBbUTjfke+cVCty5SZYCSKFcqQTczfcBymiBEhHlfvWiFNeEHXxZqGQOkHEJK4cdiayzJl9THVedhlVxH7VLBtNMfp2CmsDLEP5+cxj5Q0bRWa1PWEx+Ldg+sfd2fpZupmnBybxMcBVinld1p21tUvL7ELcXITskmuRDbLzabZrIIvMgMt4SUTLcYD2rQjekX3s+jo5+tWRLum59EQ/fiNt5i3Litfzg7BnFgHzopO+5Ew7lKQoqQtCJE+YBbYK/+rdQpqEvj4rQijLmARntDoR8ts17AS8gtG/3tK9dxkFxEUnjF5+WNvz5deZWLzr5xwEe0+q28uFrz5UNXhvqm+1hpSy+GKi3XqoycCNGSNkWfyd5zJ+2Ck4cK/8cvWevXitHnTTRv9j/qDpxX42rf3m6ROkBLSJrdXE1XKRuQlRvOfuWl4h6HKk4F+qWjhnr1EkaxdrA42uPVZvuF+N8ShvsreoFd6moo7AY6ZuuN3rQMnzfMnSiAUdsiOxCJaIW1El73I5v5z0tCV3Cuhc7Lm4ngvBr/raVRS7hvbwYiSuYYYANaI0OkKYgEpcKaqVl89mX4qgOrqZZLyCPmnKquNg7yCJtqJQWw+u5gR1oSonJ5kpcg4i9bKzB6LpdWON2uxwLn16nOz3zkYOvitTjfr22Uuy7bodQuUJX54VFrR+BiCzZUf6ep3tUqOjUV8ua7zuXf8zL0BizVFjJ5+7G1r/8S584Rh3q74J1K9vSKC0vdqWt7hWRrPlvD9QVNu6+9BkTELjUO8yuac6YjKwgVB3nsVLdv5vCzfPB7fHq5LIoe3rAYULxJBKrgqB4LFywPV4atmJPFw/qaOtGkF37X8wZ+9SADu9UOyGSEgjtdy5gaaskHjgm/9+axnzdnIGt1/32H5gq9dmbh2pfCz+DfvaOH/uLuqfbbkO9zRov//MVdr5TqQuo/bcHdCrjjGdBznJN9qgZVyM88QTtwB5aVBUiQIpDhAeKnQWm45Xp+Lq+bzcVV6g6G/mrCFBOWf82SWvI385LjyzJF8FJOgSToOEKFwEJWA56Ctl1D8hICdhpogCv9NuEVF+99HrYuEzrJu4X3PUJGxOu7opWTveQTa+zEohjh7q9ZOZqO/TpmC6ZUzCvU6G0KPIFMhGRQvWJFSn7Ic5auMcbgsOTlOS6yjJDF5/fa+6mqB3jwG4PO13SiyS7KXGZzBsZx9z6UxDlBJQMoAXQApCinUlSUSYdv6IFFsG8aMCcfDkIkJyLBoQsIu6pOQuE72JGwH6wxq23XUqWuo7Y9Q0YgqD9fsEZRLAfNZLH0NRB+5aHv0e0d1bIXzvYrIFdxup7ItPBJAlM5/C1GbeAzIhxOharHAR/tstZPiCrDQJwlCYupVr1gRnj2146HwXsP8kOXoe9qwMNQ+svu3CusjvCT0TYWxCS/+erO8k+V0ZrUorYLBWt8ukt1QF5cOGGj1xLKF5QAVE2mm01E2HacWJGOWY7eaCkQppiiyvBGRq8JUS6e2n/Ez9zbWv8ers24CVDOshiwrfdWcvEW+XH9sTjMQ1jI6vpw6ePSBjxPxaz7cOXceCXGw/q7jDtoveLmsAsjTi4hOzyyf3lG2Y7p4eqZsZpoQd3LD5HTR9J6yPRPuHt1btvdXZBs+QeSk+dPECERajn9iNy3m61JzwlSxn/4/kY+IpWlkwrlQHjG7xfsas6hoM/A/OxS7tjYob6+Qx58bV79OR0bwGheYtvW24WNq28BLhVmAO0DArYWfa5ZFD1rqttdlJAqiswyAH0FG8lTtJrlaKwXu3rcBMlA7UulYnEekvwqV7gjgbIUKdsODdZsLj/A6m83TMVWbqzrjViUmrorr/MInKjhw16xw00dd7PpSBc6yPVCy6fw06ACkihygSq6CpB9gh5DwfgXKmdcTMm1BmFQVu/UtC7vKmjM4W97kPW1hV1lzZ8BfYeWnWfjK4nTZO4IgwQjKJhd9WY+Xd2wdebdrB3QEXe2UpKfHyyBNIrMXz8x2owQacFDkox0reGdTp5Ey5zaajOA7rnx+VUab2MB1MRjSUo+6mLSWV4ZXm1CNMplAYZKHDlWZ0GCpAgO3ECEAIJP0WVkQmm0ZgdBzBcKT3yHAyvEcUa0oc770ruELeX0z6boW/zbdHjo/1rbThrvk4Q1FbYaWh3QyspF2Lbc2Xf4oq4WlHbYHJDnigNT+EIZNOfm6/hWASORCMoAfTH+kWmaRsFAZnO+0a7DCSmgFMeeGEUQhi8GQ9Ken43TLdUoGZMV2VRxO4MloMv+4u1/nGNDtdiO7h71D3m5kgSSmDuXZg2FahqrHN+RjOOe9Z91/z3tvn7Gwv85awenN2G0ftS7Wlau+7u6XPoWpUXsND75rHWJgWbsoodKr6UefKugQPGzYuk/l8wkU5ncUoE558NFKsz1ywHxDosAGvzezPhHWu44j3lG3V+ElMSRVf9N+w0VM3iQo+MmDEOzUKYHCxk+i7lHh4dq5sEE2UyrHBJ9YeZ+LQ/WfCM2sf9/CCg3wxala6l7YEqqed8kLdayUlxrMc2e5o/JsajJSLcnyJFL1PfhPKGZMIUYI7Bn2JaKEKNHSocIol1+JA8v4yvNqUrVViDV4K9IFZbGUBCxCgsmJ/CamDFkHwWLgsxdoDutuGtqmT84mbDoNc6eMh37xDPgXhkz44h/RFZgPWJzv0Wl626akybk2VNr3bM4MZgXwT0yk1H0D+PMsisO5A0DZ9cn0d/AxAOg7HDb6xc+nITLteSFoBWYmSt8PtOSSbk1vRwO+Z3E+4CDXjAfiwPkXzLCZpRGjTYvmBdfgcbGLmkefklleYj/z371rNqVwee8EPsU8sA6MLVnUhGfHzfNEh4IRY0vNzBd3fJnpuKLnc9UXnjOsS8jxJ7ZoWWgMfIAJ7ynyf4Z5YAkbdORC+Isj9oclo0vDzIwX+id3Nn+huY2JGGDUcsU9xiL4tzCOFDZtEhrUnVw0c/xPylkLeaBf/PDslk+sv25yqetb5oqd9fXa+uTfwN2UN6s0PHwSS+BaUtRqp2mEnXLorpJ6j4DYE68+fBpSfbHxs4F99WvurL5QP0mhAe//7vr7clzE3WyxXu1adRmTDP5pB4DrqeIG8bl2/NrGOHUqzMAlGTM0fKXzwAGZoeabMkh+vLPHWtRSDX3270cEMfdWI/Dgp0LTrVtC46cHgTB+WlKygUpNNiblls8RbuSGIszkRmZ6IeT0zb9RfMmmFrqscRJgDU+XhxZmnB6CNC8FeDP4ugBalB7KpOFhpz1fNi2mC6E3tkea0DrPy6ZJ/xQCPzm3s8ibl/alv0r/qv8UqeXUwFTjFJTywYOWifr3OCr3yc7dGQ8WH4CahC72ZHn9sMCk7adXFbql5hLP19iQ0Mne3U9oPmaBS2b6YOX9Ivz+zlKfg4vWZVzZ63PDKTsYf6OVRoyrB0ZmL8Y2vGDOVuwarbjMel5Xz3pWMWtqNvgtG3CWK8Gx0eAs81l9HfN58DKpKxWw1a8PnM+cdHZ1OicyzwcC4jsnu7pK1LAcjrq4ADTRlpNQC9O0NO5+Dd8/vXUYz+gn5q5z8SA+3JhA4QYgIgHEToWu5iZ/febF01Alzs2iatFqPMAwdBWSXvY9/w0jNtcnfMrC9PwEuIz/6+FkrNmbwyAac2llydmWQeoCoaqqEMHQyjemB75IBzwnCFfBKgqD4J+3XwNpLoGS68l8/Uw1s47r4BanKehIHVGq8LDO/k9PyOsKdu0O7d5ohInXp2Derrowkmvj+bH9ZREfmW7f2RVkoj1qQSmYZ9/MJLPMpnqSQG9VcwU+Vfm5yKkn1N13CieW8orgcjHCQ2Vg/VpJBZzHlwRaMdabTQQ6fnrjvO0esSD2DIybsOx8Rsa5ZVqELdg5fv5nX5b+yz8brvxyc+WD2Uoj+sawvz3q+OJnPjaMQsw10KtSeTyZw0gn5FJgtf3nL27/Y9sSgpCxOg2tOJXFAhRmJ0NCLcEpfMbcszEAcOz5XEZ2eD4GBIw9m0tvh/JWER6AQA+I1A6F8lelGwTC31+UrFP447xgMjJQ99dFWEqznBE0Bmbi+zBuvCGS8uLxsMXP3jD5UbJOmqeE+q7PJ1Dw1WXytShba6wh5MJYSnCFVAoOEmgCAW+AGTzIKgAXJHsxsO4p41LZuzvLLzIe19YynjCgLpXXsg43bKZ8J3/CHoPUTBlualbtvgimyWOwJq0BFSED4k3DVmYYJqOCDZTmfdtKtpCh5S0SGzB4aS/i5A/uOSJRBKveOR9d6Gn/MkcUbHD/YIZ+/voM7Y9Iutp12mqMD2DPmKyRi2IqiGsouB678sSZfVN8Zvu3/eN+97nnTjfeHCY/TwZcrQr7qXfF2STG7ob0MdDu9F0gEoUN9Z/LHHd0djrGM8/5/QKFoUR9fvw4k29946e2XbtsnzY2ChR29cbQJyhwIcPoXeTxcTjdLM8RnwCLRc7+gHfjSXVTkWGLf+c/C5vUwoUIixMvC+F8xV3aVM/TkNqHW3/9KKF0QdKdkYOPbjoW5hELo5UgIEw4/vnwsFI1PJIEBIa3bVUptzqAW5x49iAjDyWVI/KZVsulkfdvnypTMoCMQlmZDlxLAMUke9Pl9AARGscLKKz+lUX8Y4RZ0eUfPGZ9ENU+E+n5C0VBAf11zd3oS/kF2QsuDoWhoi/uy9UmxyH2gOqNw3nt+iwmAgBk79p1uJKvRReER/Mwv2Fh3u6QBny9n5j1nb8++syZDpkaMgDwaBWfTXXjK0PPn+7/QyCaC6VC7CJBAMKlGBP4cFA8nnZ9SydGFgxSzYyy5Fwa0cjIMXulsfxYhUdKROoUT7BNgWdfx5/JUb32ZHKVLgENOPazQhS4orACJlxFeA5IfwHkP9/VjEJEFSNa741BIxB6wQfxt6Fv3wpi1sPERhKF2OaTy6bOl/tUAq5VrRfUk0xss2gz0857TseHsADtYQZ3dm0vjPjIKggPN3JZ8HU21qsVV8D5vJr6Y5dg/QwqwiMXF8N5sII54rbXzv/nO2g1tbSGwXhWOlR7n9l7zA/qrScrLwcfbA5+6QZyusCsIIVgMNakYwx0ouFqR37ZtRi1G7MnNeof2otfcPzH6XPPRmvTXvf5aI/CYekPCNlFv3TQhUyPU+XkDE1e3XO63Zv0E8hBvElLQQVIQDvtCxgvXmbXPLSMd9toRnouBw5SJv7Oph6k7tp8Ssz43+k8mdeYEp54SKLwC96s8PchzNAFEXH933u/XJeWOrjFg0X8Bff0nQ7ycUVkRyIfETCBA1Kh4r25v9/ePbJ9dPGRjiN1rFRrryIVixXqzTYWdoDsIPc6bW1oibQVrfh9ax2t/g7/W7fVJMWbAPCq6M3LFm/aANoU2UgRa4oRojjpXai6ostJKRXg+X4k5BNI0tek1H9pjKlWDxV11+tkiXak4K5ZO4AHx2YouWw7YTR1K1WqLrr6TcTSbkPQEFkOL0BnJx4qwnrdxIxPwImPSNjgPbqLwUNVIp6HetNgJ7nd2WHa+drUuGA4s4Aod6M22h2oQYW1MlmoHnTY6xyECyHsdKwwsUAoOh8rMgkxFEYEKfQqjBD/KqiW0qIZbSm+mZzZ+VVvZU4sJksPPJemJ6Z//56v5/gtfMF1UxjoUoYUReVJGFnCzE2iwbYqvoVDRqgEJGsiXhokNLOlL5QZ+BRFUzEguaG3NM3oN9HkdGqWmMEgSVADTImykKbKMib/ISbDcukmOWNb3lDJkEjzfXTtyzD8QcmDPOnbLeDFs28ZdgCHBtIQqGALj2MDUaU15P5s+UUjMksglbBoqhzDyNLBTjn/2ywzmMVJN5EoUAuf58ggU+wZAu70TMjIBM32W662Q8kPF0J9abm5BiDQYNCnAQQBN7FfyFkzBh5rgWzyFbwk3m+/ibGawUS4MifLlUSmOJMU5EYEm62Ym3yBXkiAyHkkS1JmpjkJgCII66gTS5PT5LLUVJk87R008+5zXZkkTnP0N6elhvodaWmlzaHUtObmUn30eDjZkcHnxIjtOHbrweTrILIpg81zBhlqFfDs1zKYpucvZm5AwIm7skZcRWnXSmkCM5yfhkjWscA9isB6OBWOlmZc1MjaTtrEwqBHXsSuCUFmi4cCVAYhPlBWtgCHgHz3d4vmSo9VQVu9YYJMdxJD2gFdnGmSOdP5fBUaB7nNWXo6EGVzSzDpYjbBnEgRV2ZgVXBiGR/uk3B9ADrdC1ATwscfquvX5KqFIplX018LwZIjwisjYWs/25H+8wOckJkV6C/cv6sCURHVD2OYI1/EIGoQK/bijtVGoqofhVh236q7e8aBP9tnEqL6/0ss3uZbGXAg92GK42525PSGRQZOLsmmfE176FrXteXxikb4rVJRGfAMLvmqcJz/4cI5wzfwAlpf4/6ncFpfUqZX+Kehpvs08EN9JpGaKQvGJiFM2SbVwh2GxbNrq6Chpm1WAcEPOiC2k1kztbVl/dgCoesddIMyWV5eBXQe3DY8rLesT7m9CF9aJbV2xwVZtMP3Ff7fIkpUqLGUymPAbt6zhBUPR0dCiUrKjNqz1iGK9P9NHuEqnUpJfI19IQkHt1PkUcGjAmopSSnQxgIlKimZndUrZb4Q1i1MyJCj8zBoIeZJSKEwDkeOOcXDrzFAhrwE/n+bA/LrPVknVUKGfBdo0qprpObg72xDJmTI0VmCZgWNBXpGJWTI/UjPkK1Za4/TNvCYNCXLfLVNzdM45p13GeYk0fLFus0FXmTPOYkcbFlTxlEhx6L4/U8Sgch4D6E4cy1MlksNwRLmk30cNibHt/+Aeu2kYCVJxhyDUa4JO28V77xLgIX19zhxh7+MADcg+lAPiGhF3/1KIoPjOOb0QEQdFXX+5Tx31h0pKTeAyKN6nEh/clYtuL4R3PQTInl86qneZGYTEa0ypyP6jGplHaergYyimtB7Hcl3cmDkTtPol0J7Q3wMfgN0LXWKxaDy/P+cO2IX0ae8QwI+NulUTZeY5oRIQK9YUu+7jBXuVC2VwfcmkHE/ErJn8jQ1QPEp9NulVDNKqIdfRDxTNJHw4aRINDcHxMkHHyxZpFUbn8bLrB+mEeGmzWtxz524FybVU329Lgq7lkwNRVwSBFbFA0anhDUjYZJUcZBWAPX20v6Ou7N+XVK9TyTC4h6Jx4EglOvtJbdtdKiQl3mveopwWy636CQmeU8vIIZ2i4hWNyIwm8S+6n+m7coTXU00jeatJkxK06u4R8uwx6OCR8sArDDEukStnBmfoHZUErFr97dMa969dJ6bUx7+EHuxKO0P5N1C41JaBudiayeBBf0GKRAZ79FOYrHLjCKO6rdoHn/FGkMsSpNx31Sy2KA2ZiQLKTMP6n6WjjlGbmfYpeSFsebfhUEnX7yyH/fjfiEir6smHV0kIO8V0DrcRm+xC4Tzx5YmEdBiPxoVfg0oqdYmEVISWN43RL7fZ3V5lAsLT2BHBkOeMaeWVVserSmY6o7keCtIkqqgbCa2gzuQLFTW9o1eC75y28iECZ04PExotPgw1CUU8dbuaksePBIqSO6ufvCaCsdvdygJCxWPRoSt6dBxoECvBo1xXLIrPu2XfqTNBsF+M9I81jqJv26p9hl2sWfbaZ7u45pGI9AYp3aY5yFLnz2VTtJvb+usxLzhPFUJdjtjxqk0hZ2Ac9WbfBaTxl2T6wXySXGx32BBf1RU55rGW+hTdgl222BJhiH6w69y6jzaV2ihi4Q2DDiVDpS891TeQFUJj3ZKvNZ0Dguwpjsg2CVtu960WRTS1DhKZFhugyaXe2sy0inO4NhYXdOPt+DROC7fdj1EWykLzDacSo+22QGK6cd7xXgCWef5l/Tpqo6tjQn9arD5BsT1KKm43cKDLMwFF7LN1eW+tnTRD7jZOVmSmRCiD4YMnhJKiOAyn9LLfup627N9mJWHHdoR9iz9/9wGeMKtgQfggVIegAfgAXjY4WAEqt9Z9MLpjsBb3tdGjP3vPDCyZeIiaSzes8fAn1eARhuf9/XvBHvNU0dj6jZCfW1Nx7uleF1sGdvpbmt/f7e8TZ3b83YjGTqwmLhFmc59M96v613ekgjOaIUHPrrlgf8XKcHVdOlt+Vg8GcUw8CU4nc7dlp+V0yfnlnquOjKUED5XG+wwHj+XkMhs6VUlMQCSlgw7x0sNgubfolonb3QFARYC51VFFi9dj7uLe8M90aOSIHRt4vRVKqzpVa7fVPQysVS0dbyhMpA7baWwPxZ59Jo8VEsNJUwaYLkAkwQMNSDnucC8gHZcaDozWZ1sbd9iXYTw02gm+sN3H/AaibBxWF4ZkXZUImTX8rOkxbx1lMvXPjUmkO9RWmEGBt+wUf/B/eT+la9k/IJY5fr0XdYWmx919fHWv6W97VtdtdAjUML3v/ml141+6gAJf45I8D5A2y1qxcpAyQwfVsiS1oYEpS9z/OYHeqB7MaOhMSp+iOA/r2ACeX+jsjqlKWWsHSGnMBGSvr+ZOxjgshTzXsKLPeZlezvrhZ/KJd5muNQI/4hrMvHW2fTCqD9Prz9o0IfWr+E0FFtpSd4+r7b4LR0WEOR2eBnxgOOCxx7SPMY6V8xiye04TBVtYT2wMFmp3XNJKir9cd5s+yW6XB+qgNx6KwYK7nB9CJAqh+lmKPQK7uwd3qLtXatY9Df7PIpXH+cSNnfKWTQVFz7nMOW5gy2MlHbkyUJ0Ap2SkIfc4FZlWYsqfa+6mHqrb+9IlN2gX6oDEgkQbldtN2KOCpQUOEjpNSdmLhJLWNhNbDs1x/ksmysZRMuW1dYKoxichfrot1r9lqx6cLhkUEKFkyKkrkbEJwc4Zy4HjkMtBhu4DzDYkLL9hQFq28oe2GADLDnqcaxiBz2za0hFaFn6dq6Uh2Cct82ABANiFJix13HQRBzSmIUaukfpfBA2+TtFXDUX1vAMzI3Kn7tLx0Uzcv9lZXMbpiyFaW2ylBPiB8uk0WdxVJu57Qq3lzGeIbVgCFbl09HcUwNRsRdrd3VvMr0VlJQ08aGhbfdEVVmpdmPU8W8RBnXVTjlAj2+V1OMKKSmBonqpzrcQFJ1u5eb5gL3AQDm8GgEFaUWz0izi2EGj3EKvoUROUW+h+qEwPS6/NRO4YZ1FBE0FknLeVmsBKIk9w8dHrFdT+LiGugZSllyZx86oWQ96z8y7uVhprwgghBYq0LCI8d34AtqiwK2fT2FvgIBAuMW1RGGMaGxLlDaMRNEuxN4rAUHbaVgT6Y6z6YnJAhILrK21nO+zCgcW1oglyEIoyW4J1n4VnjVAJq1hzbgWqtGvvWAhCcIQHcJanNVTEOhm72sPYxZCCgEWbclJT6uWHPWsrxYhbxmJUurpZWp3XXTPJGVAiXXH8rqlvP7ka3es67mXU4x9FzUU5l49pc2gHUsua1t3Or908OUGKQDOKtKSNHpj9LrAZc9KIAXueuqhRSm9Zb/ERGqMrw/5Q7lx9VqKmd1KY3qNLptWUMvRLO1R7NBYO6jEUo61+3RZb7hq8W2rNAulKsUdIq8ko6QOr4ab1tldmgGcNXuS4s/wwlkWxrEmKW23nduZogwNagLaV+RSc440OEjLGiQDpBTN9hIAr8G6Dlq3rEMXN2AVLEUztHI5isjUaFoB6/CaVaNMCsCiSW11dUrpNVonYBY+BXiUGu4nLKc77Hd7rflcaDHAoa5HABOi1R6M9WIvUqNpg4fxBq7suE0ZJmgNuSHsdQcNWJoLMAUQUCjM7BTUOs7YCQAX7igKwvjjQ2fnenPuTK7FVY+uehsj3C6zwCFyqtGm8iN/jeQ8vXseBu3DLvCn54KQtxX3DAHacssp0MEP7EbN6GPiCRyF8v04jETZQmKOeMTbEM9wUhhSM8eNTLzvx5q9dWRFJQPff0oNJF1zMnelhOIZZgKR79cv5MgW88Qj3obAcFIYJs09vO/a/ru1KCUKDEJ4sXm2h8+EjJwbuVLA6NX8iyvPY2JpV122TWoCdC2j3HtzaK9QKJGg6zkbIM0I51qNNExDXIl1w6UjGzN4jY1Dy9U6Z4WrX+g/LM16rF3EKDtKxvh2Ymch7Le7XB4KJ/93bZXV/48x8PvzYfhiv8x0ifq3b9d9Pqd1AXefrTEdPFiv3+6Lr7dEDC16jI6BpHEOzfRIV5/+0/rbhrMq7QPtP39+MCBsIlJya0C4n6qdv/8Hutb/eIteL1p4f+sL/tC51MWsdvTRbuQ7884DH+7D1BMf78Y+2822LYZWZ4F4Cb9tvIP2R3Dhj/rKuRjiP4s+ZOu0w9kLK5BHC8kkuCd248rUffXXvQieJ7SAdWDtp/Mpx96D3/wgz0RUq6x4DDT/nIr2rnC9WedjNpk/gu+PrT/vhJer5zvkUTbwjBya6oi4g9tIus0Xs8lUPHZ4cTN69MluYltu65g7k/gLby64tbslzV8O0mVVxlHELxpBLpDrJ0Ps85W8q4LxljEwIvm+7rLIds9ykEjY480NmW4lJ12WHT29QeRhU2Ek9HYH08GvDsNzaPy7MTeOHKHxVvFeZcqfwD/T+G3UpQs45PgLla6QTRehfwaiQyE1UyMV2Y2h6QvCy7bR6+YgszqNOgULniXxYldsMVc42ETyibwehOfmmiEFPzNvOQG7vh0+oWfX0q7Gxd9qOAguVEtj1/nT+kmCHJ4hPn6C81mrzrSggbLAZ46l28H1cSFVHyFbzjoHEkkQMrFUpgF7SFLGYEnnTBw/WB8EGQ2T9trLoG+YNAwdcNdOvzbYVDJBC3D9KICLD2Hkcgi06rewEREQA3qeI75975Zen+6oD3Qp7lYfkOR8MvUuSISPr9lOVoEc8As6xVXywU3ECl0PonuCwnszn+ypcAYJW3rbwXm6i7/kaDmo1zD0hKWu8Nd0gDzgsyehKC5izoqqLor7VM3hOkZ+g5zbFbNVPCGsdpdEPNTUdG4lQ6F/MuXnOuxeqkwUeJCOz6GfSPN5LyHOg9fuxeaae6CfjOau5XPZnKn9mXWgvs+tGwyrdC0Ry4Pt26f5mU0JAltgF6qEaAeACPYjSkhz6Tns4w0ElIakSYHYme4IOr12youoleyvW/Xoy51SZatz6TpI2okJaVTakFxn6y1lnRJSeCOVIgmh7R3+WNvAURT4DvS795Ekznsrx344DFsBj1AuY5mDv/dC+rUAYV3O3w26k4xfr2TQqENB0etdbfNWgYEt6lvVWjEVubTYgbP3pPoy/64Utp3OzisFMdQJ3IERghfKHz6PPHIvHEgautZSZpusvWLA8iataDqRgIGuu/UMsnRDIrZ7tDtg/jlVS0WdQO5fx5PB39NKYq51C+LNYLQK8QiqU0KW2rO41atKWjIaLsRmqwaSkxg+4NcYd9K70KJwSr3kfjMtV1vLLTYNwTd5iUAaVoh4EQVjTrvOmfnj7pHxZyB6LIDIzzlxHURK8cb+mENll1eSu/YotnmDbyJOhPE/ULoDQTq2M/n0ljQ+nhECkt1/ndNvDadccm17t0JBZUOR5k10HIIZ+vNp1y6C1tabGLlJxAyiW8FRlJU+o83VmlTabE0YrYCW9WverPJsC1XFmIhV168UE1Gahzxf4NYvUVTFBvA3TCAJqTlilrLWXmU4+uoLneYIbZSiElvNlhqfE+2ijZUb7XBWsIVDma1rTcSv2fVkVbAoXSX132pVVV7MEKYmTVismjrbSQhHqy+Qa1Tq4puRzZBjpAcy1KwwuqT63dbB15y82RbMi/W2zdAOWRWjFVm+poKMy0oM6gN+fC5cTyErej6YB0Kza95o9VzF44j87sQyS6ABWFf0/WQ+ac2jk0VrhnUDj6gN9dSC0SmP/lOiKRls3TglKtGEZnU3jWn1GxtrFjol5ZL2FRkmOnYl8m1W+zdFrlWYsHcu2pgHhbve0eIrR68V92zq1uFphTUaSTRVKNzk9gRN8SSn1Rv8+POMjTlZSZN+09hxhGuwI4fs/Vkuvy77xmbxKHMRdpg3wdKPZx4HZH88Y3uoTQqURjzSsoogtnOrS7/d3RbhHNcSvKZdkrZLo1lfrdDlgHzcnIjkx9gkUL7j4e/rNoeqxmJxkQVnR5LKpUZasilwsr/FoqJvwbbTPc8SNl7rXlwlfR12/flt4jAI1SG/F+CZAiHZMLVokdGkhyKJCEsZ/zZC+q72Y1x6i3J7dyJmHViJBhEguZxvM+Mltm3K+bgU0XqGnVQgzZ7HtngxlMtnFyUSxZSobqfpLoqSJNkcCrGUELGD5U17NqmBu+ZWClo+TfjoLoOeAlOo0CjqIEElJ8Xjnzik2bkTnCai0hEPvbaHa2YQERnr8/4JLk9EL6lPt6qvWHBLRJFauENSeQXCr1jRuU81IKWaxNL4jZQwGl12xfXJVDIZu+jCGQ23LXbAaVCfZG82BXgV12LaEBGRGtWvAFWQQtyHVZTdFejzrGAr9K2t0WB/DuMDF0aTKo9edNvf6VG1qMz0/EiRwXE9L+TdFllg+s6ciUGEPQ1Fvi8tSUjiVrV8cnc3T8AnAJnxQnLhRe8WJg+OjTrxLHi/6E9t2MAhIWCiUcz1MCBCSqChY8EdqDYKXc0Fd9dAN4s+/yJuCcghexYSQiRB7C/swlpO8a84FQ5oMEF3y24tqwp075cBekj+O60SPMyPrmYbRDMsX1jBg9Sdibk48Y8Rg9BIQtCpSOu1GjD2fS1aPvxGo12LgUWa9Si44cD2saZACrcBx7LF0cqtMOwmOwuH2fs1Sw3QnQz2xz3otknIVUOX7b6kUwfrswL0ziup9Ik4tLpa1V2W/ps8En1T6/BHZOneWrxDG1rwi6QfNgEi68/QZo5yThd9hnnMOIKOxTBjUCPCFCZlkxRj0lPj/1tQeZla9SU5ETFIlPyeHRfKDF0KHb/5V+zDWyFRioI6BMYU3c+ljdNewG1/fX69U3mYhg3ZXBy0QrCU9pscBPpdx4Grf30RkPhLu5eYelq3Ia4qPBk2NLxjeCm5XoJKka67kPAkNiVD5kFkrXR1lmzXOhVyaVvv1AqDmProCY2ivM5p+6bWE0sY0ZwiVEegFG5UUhT+k6mMIM1YCe77MAvFBd6eZ1mwaeHGcJVij4ygf3LofkTvzMQ8+nwrEygFWlaE0jHMrws93nDsX70LSfGESKAVd7baTzYwexqXsVU1dJeSxr2kaSgwGS0EZUR1HmyMoByuCrQF64drj3Ms/NG2tUt+jIJ0HVHRii4W6TO0iU8iwYrW0ICdSFEo5abpwiMY7mCsvTq1RtppnkiD79/cd6V899hVogkHeBT5paJTtTJ0HBq6HfwxLPsIczDQQd1KFDxOIeK8Y6xG8ZtfzBdN8qObR1qjYsYKIRdLIOEuKrBPvzeC7T8vXPPiMoOml57SSGeEmtxp0wNF1TbuL9wBAtebDOM9kowBQVM9RlMIJxaO5GXqvhfJEpOTomZULzNZQJ2z3W14+j7uc2itwUOvregPFOhjMwRNn5Ta1F/MY0fZE5nCdGjDIJ5L7Xn/E2cUYtMguCgtMxzhgd20BO58jUomCn+Pu/a8LXDeSEo2Lli10mMmIWYPjMpgIv84CMMRZm/B8odAXcfiBYUOlVpSVwgZAFJANniKgbJ5aXZDwjmwlwNVKe4pg6WoruDKgcYBG6IDtVWKhIAzCntLNv4UYPDE7RhovFV/aw/UWL8bIxc4vHpQxFaMlRgSKP15PVNP4FB6CAPykwr4R2uT2wYbeIbQyB5lJ6iMijmS7DJoowKWLlSkUA3NLmifkBXHKtxy3/GCqzuSmb4MRUx6JmxKxYbfFYPywFwqH9nume9Hkz9bP/Mw5HALJXahqZaQrZr2NuRFDV5AncdUrKakLqtDVyCrDTjDiYi9X4Whlq0LxIcZXKj3QTG8CGNA+ZcB2BIpttTS6OFs+mL+BGAyzFeg1aMzhy5pIhr8baShuuBhXdzwtG3/aOl8vOGfzJ5E+KGb3SBkXYvTLZF++mMLsbz8LeTH+sv/uFuRQFKE0uzni9MalnwnM7iDOIvPWKJoz3ox8lz02cWwge1JdBARISHbnQNQxPZtBgVPvmU9mG806ULXigQqkXQAyocDrZ5rrYVqP89TYHbNTCEXsh+WXQ5no21+OGurw7+wYiEdGpNBaQIYiLsJyGPS2ScVjxzZmVEnphCKffLD9asvPXkoBOn9vSEdE5A1xv273ErLYZizlnTIHzOLhkPES3O1zhRqvDDaOc/Ywoftgflhw5/bPefXgNl7sd1x3KUZggmuNTa1x6dVRcVhj5y2kd7hJKNyR9WDQ1NyTl0fCndv8yzdj3YNp94JsROLetkxkDy6wsZ54Up/U39IxjSIzqYZe3UYAiVOrKQU3zvrVHJhvEAV8ZVC8hspP7SVQJ300cmtNlIVaAwbfnO1kfeTy1BDZX5ax/ZSFSHICl1Y149tFlPXT26KTFtPYa2vQvC44a/uXmWgWzTHXz5e5l7BoqrV7MhUpdSzkALc1lWssFTpfVKvcFvi0o5HFJdUhO91GFGKLBeCI5H7RnRfsP2GQFGdJVXN6twjcrcNMaK42VrMIpbqHxzQaVGfQywzzCphXMVi+1wwjnm4r5gVYtdVIaog+mIyPzT4/iJRnmiPE/OSHC/TGhdSRXwVMR3XLFQzMXcXA+O/h6igIopH+5JeRwZNBxQjwtJ/REa3CVzUDFSMbsmNqFkOHmDaMkjMcB7RquiqaQxgMudhEY8vTuSkht8xtGlo9EChft8rhEf78NmBbByg0KlpyBnE3oqJzWikTixSQcRcMYlDaw2N/ykwFJmpM2B9IE9RwileloYQourpyNnc0I7hsrkRGgzE+wT982JhuoeZwPN1KrZtkrcnoux8rTaiUQ2/LifS5gh+ETeWhDCeVC9EuFbJtFFxqmzIaGjpDUJEgt4ZQXRC1U/Oqp4ihLLnqG6HzMHW5gbsQ9cl760l1tnRz8y5aR7vb9NhvLlpmBMyvoKOrbmTbHhOmyjZ5fSHMWHMcIu0MqccudVuTPjbIKnqu1CvmbW8kdIqY2XZLledwhW8bdr/NjNfyV0rqdZpbJnRVGMVVPyzIKpdGuoI79ulvzGaRwv7DSpwtA0Eq7oO/T1isUFBoT8uP6FabvQMBjcmS708vrb1BJry00FU0Ku2czjdpIJSuPyEkTg2wx9TsGzmJZewy2m7WMU+YhcxtXaJxr3aUZGVY3mJVypgH+z3ESW4Io9ttFlx3i8k7yNKjTTqFPAwS7aO55rmXQiANmggn4luYXBwGcRLBZrsWxuR5IzDgalNGjMy8GUUOD4MqcsPtaBWeZlZnFayrTStwqVCrEvsmrx1LBywUl1EV3G19cnuKQQ5QbidXtANcuNF+0JuICS97ebIfM/C7YyAbDKVs0Qwj3R+Kv1S6FFPw3XAOEVl46R+Xb+QgDA+pXOMS13yaceMgDfQ5bTyj9OCjat9eTJ0CZWk3YOzLl8cH8a/ynDn9d6T+6QvrlZWv43LF4PwYrlYbpq26eb6+9NsmJaFITdaTGa9lsYwJ+IN04Czj3AsoVk90E6UBnKkZD44CiNOKqyiVOlduUaIWe0XVK6IcYsyCu8FIlxs3rKRF1V9pYEFShIHpGlkbB4GDpg0WwK2gd3jG5PoNxtPVKkr4zhRMfGlRpjolpSLnCypVwHLYrIsKYUa6LI+EnUpIQjCkVXmN1ozpLPAuJRh7UuYuVKV3HocMTfhrS5tzxvSNKnsavkrXk4g42tJslQYCR12LVwc8dfzKAJnCRbsMYe3niaRQAAhjGOEifBVJYQiVPivUegZ4uPrWDIL9r49zSB2sXfUEobRia2Z0KoiItfTfsFFRqBvez+AAveipddeqv4h1GcnSU72C7Jac0B8xdK9x+qf2Dc3o9pXDwCGQIXQKt2JlolCS3IoDhOwIZslrFq6B5EGQN3gavTcHvSqLMFMyB6+PokCVIL0HpaN8HBngZcLzkMKSCF5ep+d9aErpduQJBOIC6QwlDq58mey65DWMAYGt2IoiyTxwVgaSy/ADD1HgRSo7QmYXP2sC6PeXKvAExaq7+lWQs5OFKU9EHsEvlOLgwAL9F0SymfkhxKaFEYC9Ai0Q7BhLgiz49dt/2pTEPxCN044XMH2f26OCf85/88crb8mp/Xy4erxf//T7PR/UPLxbBQNezfH2fQKOfB21IlOFDvl9K3Zn1T9O+0Sszfw91Ldtm+CNqpv/lZV8LqL7klGO1N6bJX6b9N9hBy58xOE+G6GgkRZTrEyP7vMGajczH7TYSqM0RQbr7bpFV0AGqhcgFXQyyoB/MNHTQDBNcpGzZDcTeyxKHmZz6Py2qgSYjbSKO+BKdCTe5gjvetiBb+OTpwaW53bwhxuUVOAOSXULCft8y9R4Jck2KoBko9I0F0EaSLwOIICfMz54556SfDfxGt5dnJzzmCdR4aZWdhGG2k7n/WeohZJUH0rrAU9TJ/+ZG0VTrcz/swbJ6RetA+zFP0eKh/taDeCRjwBTziz0T3x7qj4nIAMx3KKk6Yhtmn4tXE8tdopeojbKHrazvZ287vNTIwOqlSb0pjkO1nrGzQcCq0/UArHuLbqO912dfIsuMlBrL6KHTw4Q4SkyXkZ7gsz0ih0bE1qr1AET3qF2xMWM1x73H2Mo8MbNgpRdHG/vZMAslp+PGqPRGLDg+dgmgAuQFE3mOzh/+YMeNEJ1BTv/gkeVjkP6lK7z9PT8m6n62rrE4aDaRLoTDl6PLMcS14lwLyeg05ycnQePKxyBJ5n591Z3XFdxJz7Ro2Bkyd9gLP7PWjLTTLlGCnfaN8CZE5JrXEEBOL89hI4IxPIXDCtBi3SZsgcEKODJUV1a2kaSwX6gEQV3xohMlX+E/mfqqK0ldWage9Vx71Y3tPyYLgcG1VQ4ZBqY7fbK075n45TtLPT1Qdy3io7I/TH1kDpbY0WtSZpXZwYQa9eM13kpQK+Tglxtc7ojQ3Pbal5WnedfkKK9Nil9r0tHIiX3HtpQ16zZzwlR0MzV6yrXFalZmMlus9c1urtxUk811OzvVguBhKctGsEtm/PA/qlu5TWPIN9DPbxvz7EFO/X1tIwjwhc4TkgdJp6s842Ypw3Y/iMsSUiTWqJmOkGxGhjhPc+LhJa8zXs11X0/X/1Qual3h5hI5BI3Cj1pCj5MxUlKmrk22lhJblSZkWdl+yw1C1Mq2U726z8CcmtS0LnqKcbmoJkKu5PiLpl4OoV76wtUvE+vrNkDWPC72zHhOVSG2Zhywg5LW9PIASOWJuaei4YqTwIc2ZVK/yM+biMCBssQNsrutSaShFJPEpnRSow0VH2+xfEa51p6ikGyydwZmgmyXKmE+9vmggQ7jwAgbSz8dLmTygP/YNcOU8GVyT9E7ZNhtK8kgit35nofJ6xZ3sJZpiNtT0XYfjFYNBen2BMT2FzDF8Soifz/hAP/sykRePNDXOJvD2V06BYaC5TfattTVM714z7OPonmjXOBb6iLvlBofOnNQYBDSbXq7BlpU3gmFbP7BB9S6QpzVbuk5MRYGU43W9zB6Wd40E6PCrwUU4u673aHwUZ+GyMnMV15nUMVAfmUtf/4soyCvkP+CN016KxMlq/fQyLXsTh608MbyHljHX7kuo/PZ/TRUkcc5J0Cuo9KQj09qJBgm3y2q4L1SsaGBa4dUf8MaEiPeM97VX/TZBADvu1AIK+Jb8BKc0oqREGytxzBmwCXwi5TIQt5tUVsJElwijWE0gm1vw846O1SJvIkSoMqJApPZTnyf29bkYOHvxfoFZMhmaPBZdiU+fIIjQWCAuZAU3mxwKMM7RZpIMs0AQKsbXAtrGoDVmAcshN5LxUhVIbDS0d/WtwMlu5Mn8IJMggsN/2EXqj/4sd5H/x/Jt88wf8e7krlC7P9a6A3wDbJ4C055ba5jiZ/Zj00Z5xD+LrJlhhmO3fl3G/wYqX2vZjm+yvxNLdQrZf83fQumEjRo3vo7392MXQJidLTRZaRbDtv1jbsqQcQKqRSO13xnGNlo4+gzJTT/80I0zMLKyOZhs5dg5OLu48tl6Bou1XBpp0jAsICm14585+TOpnOLYyipaKQ0ISICUd5D2Ybju8QGHwslwO5VEBigglZGWoRImqGrq6FVNDsZpabcWovSG3O2rFFXrm/LwVP3ElHu5zDR67lFbaS1byp0ASJkqcJCkHuMJSBv3G1eQnqfvHgq/+t7G8ZxYZ70bDxG6u+fuCdvcWfCL79F3hSSOQvqvhxzhopS75vPKmUBo+JiNGGLsgkIaV6Up5y8iPrT3/BOdTf40Ac8/Da5hdBdIlYVFcYUjjsktPeS6cI0NExLmI+9N+G5mJmYXV0cfCPA4nnGwDOwcnVzd4+PgFBIVExSUkAVLSV2dwDdZtzCCIULywNcJRhcFneQ7yCooIJeQyVFCqauh1K2aDsJpabGxbffCX5wXeAgC7VCotbRM5Sv1/my33T/O2t9Ass8o6m2yzy375KpHBXqj0j/bnhxITu388IqExEZ54iOC7fylMD+4zavLLY4kiRO5z1Cf285OodfAwZVnPmuIYmDG0GdLKZUxXeuEOZpWfGpLXQiQpUhZN9SY1NLR09K+BbAOYmZNKa2ozErpCUxOU+7SZd6oNjC5VQU+YeHMBmNyMHJOMcr9VRvq32gi9AvzU5nTpnz98ze7sLU6XpBGqIgAAqQYAAAAAIGqAqAEQNcBtRnsUgKgharHmAgAAANEqXxDt6x54aOG/u4jT7H45v/Fy/TTeQmft7qG//L8NM0wJlca+9la5lsRrguMs9kkHdyvFWfiLDxq3hhafa3cSM3RoaNNgtrkmvu6R5DGPv094zpNJf9QPE5kf7WSFWE7X2grHPmXHBDj2tP3OWld/WYJ3nqtDf+hw4JSRUkVNTRqnpaP/3/DAhpMvdkaYmFlYHc0WvmXYOThz2bpv1bGcTjW8XqF8Ob8LCApteDv8ctTUplwruYgXpVik4qkEJQ3wpjikW51Arbn1d0OPSzP2dOlgDsUOEwEKg88yx+9XyCsoIpSQy1gBSlUNvW7FbACrqfWix5fl1gze4tvY3lXa9u03P93JPnnXuPgZd7jsmdmKfxChBbBLpdLrmt5QlvSdfhbXwC4lLiUt+TFPwwk8VhJ1IOQm62yzX84U2htu0thMxJPNgVVs/elG6wSVYOdF2hQEQfhvk/sml4v3ZzSe9knMt1tfjn/1lQVh7hKAjr7ZXyPu0fg51RIUv6H2TdkwCa/Alwt8X1DiZd7zzXaBVoAg6Mb+A4E3rj1xvlsuxgaeQLAhlAW9ASrTTN1yAe6amruyYE7lBKemaKK5GLuwlgKf61mcL1wGDARBEALiW+vlwmxBEARBcJFjH8c4x/W6nRhP3ivA5WJsw0AQhBbTyppo3wywBb8GlwQbZtfJlwFKWZkLsA1vDQwEOTczoSBCIcPWiEJh8Fmag7yCIkIJuSwqKFU19LoVs0FYTS2u8z0K621H3faKEU7uADdgylF8L9ilUqmcVKZwEzAI7FKplLS0lMUI1wDAlEqlovKAd2BKTzYHVnGQyfG09SFifPidb4aW+NGYcZZlLbYS4Lk7l0ql2rt+H4SVGLEVfoobd/Hy7t9HhJ0VJtB/pB9nkb3FefACX7jOLvC1OTaA0HpDRBkPulqsBgsky4MF9PS7Azo4ssO0R/aosc56dFwrxZZ9kzrklzwEcXVHpk/rAaF1UWb/lzKuctKFGBR1A3HNAr5FfzlH8x+q9FtVjKqlUhpaOvo+7AKQTY1RCwh+wIxikZEQYqkx9xghhIgTvT36mH+ABIVExSUkAVLSV2dzDdZtzCCIULywNaJQGJwn+Mh7QDogHZAOqEypVCqVdMDWAalKRX22p6bygA7w1sUBWwe0pHFEkfKBXSrVdCjVdFjaTYRH9MhUCSgN2KVSqVQqlZavLfJCpVVcI5ZmNePol61SbH8TJ2KJm4CPv3fvRTixHkzKUpVgslZqC9wXkEXO+0V4jU9ZzLRFXCZZwNyWg+7LYoaWydVKWSR0VGVDVc1VEyaiiTa66MdwmcbJzHVwshkEfFDlIQi2bY+j9DwF8D5glxKXkpaWfl4Kx6OhnxlJmnl9Hs51NDn1nAbse38a/9/rOPH26hPwiHZ2DO/1fDfQMjN4UU9OR7+UkYz+O6bjbNirT0qRzWS74uRKri3KybO3PtM5zdmS14UlzW6aQ/Oa4k9bd9hdi5uUjtZQ7h1JiFZVJIQQwmdzOvscc871uTGPO8GBihFCsAKWuzJGdHlNXcXXXBsnCUmAlPTV3tdg3cZM4CDCpijgswHmVF5BEaGEXCYVlKoaet2K2SCsptatYDRsW7nJg7kzFxNwB+xSqbTBCuOgSZJsKXeIPZUn8EDUTdbZZr98rWjDdpnSk82BVYxgcjzNwZhnsX/cId7T0ZMSEfHDFr+Nq0LyPvoVnB16BWd9Qt5433v3u5rnUqDyThkxV2gi6tblsUeLJCHkAkl/hyhfh7MpGfXdu8f4cg/svzQiRu9vu1xI75jtZSc7gN1zrut00yOb8WV25/+EYfkX4Iefi1SOUgsNLR39a7ApG7IzBycXNw9ffggUZKENbxHsHuunRIqWikNCEnD/H7PLPGW0e9Jr5hKsECgMXg4KCKSyyr1gzEW1GqMxWK223NGx7WViPRLxr20xjEMCRxrAkmX9LVB0stNOVEpSSrZ0zX9ibcsXlJVL6gxU5rXnyC5FlGcwjAT+NQ3D0rBnxLhLfPwIMWvDc7zQ96BugoT1xGjwP2fbMIwYnbvvo+l7ItGFbKfbxnacmkvsXFC3k6/ztWOu1pJmaOtpYsxEzCysjmZHDs4JLu48zMcvICh0T/W97EoXufc7NXF+tDQOCUmAlPRMgCDCDI1jludoHgtQRCghl6GCUlVDr1sxG4rV1KK0W0RScgMAdqlUWrLQeGcSJ12lGmSbdXvTraB7hkVRFM0sJPauLZg1PM2uDWNWUa/mYJy1nB7IsHI63n/l9x6Ul++v100ngH+xGqdi5KregzYcELoKbA1iHnVtb/BBrw8Dp8KGIN+490G5dv5gt3Ar/cGu4APBg53lFuLdIWuK3iE011aYiy4GLhIGgiB8N1z/84OQh59uaAQTMwuro73VOt9Bs44RQggxx+hICOELP1Kog7ejEN+JxURHQgjBKvtwOPzwMvEhf3iluIgFxxnRIYRYZIwQQgghEkIIIXeH6BD8Vb4oxZCjB70FOqjX3s+3s3G1L9j2yVceAZjicQBgl0qlclKZwnTAvvv1m5FdKpVKjzW4rv/wRv/hXf7DW/yH9/eDbYDK0wBMxD2mhNkqrRNIIu3c7wwQcQJTe9W5wpdOW8B7V5M4AAAAAAAAEAUAokAUAERFAQAAAADZ0EtcQmNyno1DlQY1KKiYiO9s1zS742zoNs3WWMVP96aZYsETOCAIgjJspt6072e999k9WouZyEH1QzCYO7LiF3cfvc/etbEbV9r+aB/uvIdy78pBtMZmx1lUtPeJekfx1u1wD0r8YRlcN58ACTMgWl2rox1qXxo82zhqkBYEIQrYJ6WRuSoQtbodyFxCZvhPC9HaBC+KQFxLe6g45uiw011cxkeLUz/0+UrVKbXQ0NLR97TrjGBiZmHdo2urS2tpc+VjcoxjZHedA5xc3Dx5x+TT/CQgKLTh3x/dvRWbX/pbhIuWikNCEiC16fRaanKSvE0MEW+TcEEKjQdHFAqDz0adg7yCIkIJuQwVlOoa0OtWzAawmlq3mM5tqxhNi6emUXEHAGzfN3pIlm8dPRR+XLu3O4dsHZIOSUPNCadYV6Ni4BVqOrylZpV1Ntlml/2D5lVco1GZ1YwjD6yY2HXFhgaGm3eFaygbEG0M6yE3GAjCR/mI5L1Itru4OjD7ceDuw7DjLNTa1xH1NcXb9sY9KPELhuvmE8DH09zeekr1eVHR5PqzkjSSikC2W2+/CZ8bbl84e1sQBKFtYMMBJY9BRSDDBGfa7NBX+9TrgicptgAr5NzR47TU77dPzvRUAU4toxnt6EafIa3bF0sXAwNBEATnCBcJA0FmyBYyu+sc4OTizsN8/AKCQqLiEpIAqfnHfbsvbHMLjklQjOBKiEJh8LJUDvIKigglZGWooFTV0NWtmBqE1dSi17eSn30B4wYAbN+rfgpZ1iuugM+Xv+dr3/OFb9xK8QvhAnGi0ATJZJVNdstX4NNPg+4euJ8+8WSzG5lTxAlTwKzmC7JiYtcVA4RZNdkETED9wZRKNdtHZ/hTN06y3377d6DkgAMOrFN1lQQA3LmUT1oAAABRACAKRAEAUQAAAIiChuLsfw7iya4FKm9iepjhjXF5HhGTh9AE3/d+JFOyewJJ/KR5H71EB9d6z39QgP0I/l1Q5VO/szMEQTfWduN6UhrZTVLywNTjo6O51K8n6WMEZ9diIOvx0VnA2cFAEAShpXj+6WGNYGJmYXW0bXy7lw7i5ELpm+7vp1z4Ud5Nr/P/3f3x+UR3QFDhXqMefxsWcJHR0jgkJAFS0jOxgwjFCJciCoXBZ2kO8gqKCCVkpzbqrs94FUIICNetmA1gNbVuReLgtleDrmpuzXwUEWzV3/n0azWnJ+9tP1xhemRtsMR0UiZJsmVqjum2G10/vmOE3Y4HlVUsIMWNn81genYBWDGx61j8aZ3jf/7uT74vr58rJGUu5/oEvxhkBH2LNZzfzX+ClYAR9D6MYpC+Q87T11t5iAY1E8yVefqXUjPh+HRUKpUyHmlkbrm9PElOjHZw4XWwfqoxqUFDS0ffscEdhxNOZhvPzsHJxc3Dxy8gWAii4hKSACnp2UITkb+ycYwgv8EKgcLg5aCAQCpD9Y41sdIqlUphwqa1bUXEOIRrJu2l60bvAPfRa9JB2G59TfoIyw2wyibb7LJfvrifHjrbuuzAqRyps2+srk3TytSsMcOOu81W2Tv7HZjjl65bT4ARngjeOz2Qhd5V/U290qNagoEgCIJusiF5Ket1qjd109qMy/WmZh+SO0Ge0tmNclSnltGMdnSjz/C5QSr7YgcMBEEQ5EWba3YOTi5unt7efdrPAoJCDbhfrne9p9fXYoQQQgB5dQbXYN3GzCSCCI0HRyiKGOKYjTSn8gqKCCXkMqmkoKqGXrdiNsC2+yD+W246pOV99PRSpfvce0ruAIBdKpV8dJ5NU1y4F+jZTLV9jJ5NVsuH6dl8te7RnLZc0c6XhhiYrLPN3gfNKa13amAVj8jdXGLOeXQBhX6BVwW6PccrYsF9C0L3QPdA90gEXMXZ04T2EYUA3JufJaItubuhoD2cYPvZPjJDEHRj9RvXk2JkTW7tIHk2FxaQbcvNtkJX20XdnMfmW1Sht+2mIDhrGAiCoAxfm0IhEk6FgSAIglzLMUlV6zLET/ic5mBOLm6eqZ9+mp8EBIU2XJMVTnfH+GVStFQcEpKA++E1l/nlqCtM67kRx8SpULxwKaJQGHyW5iCvoIhQQi5DBaWqhl63YjYIq6l1KxK3bPsNYTBbvZuQnWYpbY/iYoKoOdilUqlU0p9OX+7Nzeudzettzes9TcvOnRETuhKspAfHoNcBRXYpopz6oN9qljGZ0n8s3bc++eVYWFqlUtXwas1UmY/vgnyiZ8Ujmj9LR0Rnwl7jcU/56nBXjB6vKob/8PqtVKqaHfhJ+Fe8rn0RGB163x3wzyD5G6q/YX0jnNEUGluViVuR4ybq94j06KZgvPVow6B/AcGpsCEI/YnkS99YLgm9AvwOegETmtu88xQtTKJDtIo9rStqbDNadP0u0aSMmmoGqTmN0NLR/2Ow4NntiDHGOM73LO9QnqktB8seIIdwcuUenEexKO/utkStzoKBkAuUR+EPWk20DenlIAiCi4QNU3IjOZEsVAj8GrwFMBDq5DKTu9O9D9SDYgePRiQKuWNQ6PBO7n982NLD0sPSw84CnsCBFoANc3Tdelh6WALsiHfR4y7LtmawW7xtrD3X7Ryyv7dzmG1I4+FTDIv7YNw7eZgSXxzm/S8OA9uQTqohKC+xQRORnaiUpFQTgB17sKyztE8AUyplv5wv5ATmkhAm4snmQFRuq7OYxYyjFOuG5RHhO+D4990XyUEUwZRKVQ6Xhx9CCCGEEEIIIX59+vQRQvQRJEf7a3Vnjv5MfIYxzr5OTBYDF2tQeWhfWU6nk0EWEA2EDgMbjoT90afLwVXig+aQpPM98Un2iL0OvMIN043IjLrb+lG7J9bd05Qy8ASCDaEwybueVG0ILgZt0uxabCpnjYLA78DzkAl4oZYSOi26y4DLg4EgCEKx3NNRz4gxjXksY52j3p8SJ5MDgmDAvxR/yzsAk8qCYKBC6wqpmq1ZmchFKxeLdHG9BC6JFzBWagw1zSRP4G2CgdoYG4NxZeYUiKCQwdYQhcLgZakc5BUUEUov+VTlTRWKCqxaDejq1hiqoVhNLQ5xSBe87ajbXjGSZkpzcQOO4nuB1wa7mMBR8ug6RjVFLekswiawS4lLSWti+MnqRiy8AwBTKpVU+9Y+ZNVEKM8ulXO5s7knyhHj5qetMg/qKjallOb5WYC7MvfxDiuJvnlDG7sOnclGv6SvLB33GX4Sd609C7DnwWA/p9Jiu3J/lpw445Nknqj+kd39KlJ+2mDWZtE1EOST1plsVAQGnkCwIewR6L9Pi5IpdEbX8GhRMjkLDxjlsRBuIeQdaktRviy6jhY/8DFJgD2By4DLg4EgCAJPErwCDARBEHS28Gf3fg6Mc1y5q5oF2EbHgdABIAgq/Am9kqgFuohctHSxYBfnS/AkByiV91mAHfBmwUAQkJlpBREKGbZGFAqDz9Ic5BUUEUrIZVHh+qFGqqaLBNhRplROLZVdKpXeVGAPwWQmKgazubgBR/G9AGCXSqVykl724uDUxbF1pCP/Cz6Ga0DhwJRKNShL5REOginpmGcXJoLZLx/pF6z8SvsfSISnwPy783jrJviNh63kxXvp6Z5stsbxbw7Ndu70/VPFl/3KeuoK9uTlNXgw/rv4dWsCWuFGS5YzgMdOa0CWEbVe8rEFQ/tsulUgrTJXRGKZ2VFsHxLIlKU9dKyk5vqr8DRjJmbOIqx/SU2WKgDovcedFxNmjhux9R2DmZk5iOXFCOHLhPxA2E8ROyk+KxSHBXBoEjhgJszMYSqHwQGHheUp8ZvOPx5ePjQHHI8F75LfYXDAAcdT+YeHBwkhfNV/K/8EwPhn6C803QhccNwv8iIGgoAmiu/jjq7h2YH/HbTdoeJuY3aczYzW91Yn+ZO4I089JRE+iRH8b6euW0+AE3b1hU1IHGAkGd4Ab3oP+5OLL87pSGQqD9Tm2YaZUVQFbPh9mB5daesFtg2DQoDgVNgQhDDAf18FBU6oAlQKyqW5pULLqfCmwMbn5MDB31TcDO6p74LLhrcDBoIg6DUk8NbAAUEQBPk5LOuXC0M2wGXAAYOCge2T/c9CMJA1CrYJbfhkkn2ay7WiRaQoFQtZ7zba5FuTbk2r4b7aFmef/vTI5Prv3dVKOSj2C1eG4EUbYOGdylI5kldQRCghK6MKlhqY3yrAAiyGf0icSmwiimQXPe6y9Kh1Yrd02zNYe1e3c8j+3s5JFthmnvbHTSXugykeB6Odyi4eDY5SOalMEQzARLATlZKUkvnKqukXzsK8Os+yS51KFB1Mif4S3tuA94EIX3Q1/Tnh2av4i4yb4rlS7hyxJz8oIuD4fSCfSxGiCDlpIAgoZkYu4gWmmArWdI9gz8f+fUafLmiGZ2RGfYR9on1SGlnypWMxqN0QvARiaC4ji4FsTfCaLTWnYrQsCIKBIOjsvc+BcY5r3OPJu/AoxsmGgSCo8GL7BlZbZqCBIPk1L8dFQhIgJX010jVYtzETLIiwKQp4145r50S9fAghhAhSFZSqGnrditlgrKYWNffszID7U5634t/CdwC7VCr57/HNgLNUDwBMqVR60hRYpZK46dg/tcU+qnovamurKIpi/fR3BAGwzhxArwMCAACA3gXsRcDeAgRgHTAHAABANRjtTVOhkcM8GhlWL2C0v8y6iFdA25sEqzSTxUomt8SC8imXYBu0UL/gjEamZu1Q8c53xpnPPilBnl9vyfWWWW9pdYWHKI8m0XkEmNKD0uoPJb8Hq0ypeF5eg58mubm5jyv7c1Wq7VXbnH3mr71kFzw5Po1wRJOT+GyPZjAcozkduw1fFqKOoCxbQW0bvghVvIV2y/k1650KA0EQhLSEff5AMBSNJ5JAygybrtjO3/aeKwdycCkUcDkFBFJZBaWqhsbMMzQ739+ra+veo6oWSk1ozzZz+Xhc5ursn/Xar92unFvKy0Tp8lxbK4BKVWt27QMqBzi3YkIEAADABiB8FBBMEQUA2vGFigNZtjvAkW8aoqvU6l7piZ0FelR2Hb8VjQpli3YOcaK4uWnyV8rBPLmiqqWaUrW0dVuf43nyIuY8xvL5ThORqnkYS2D6dRNdSs2pbqfZ+HTre5WTmOlf5piTx30XjYSQO0S0vXXnRELIHSNXhDWtiY/Yd+Ka0ZEQl3aQTOdOYhmRkLuH3SLr24ExKeLYmL5/MKb9fjJCyIWEXEgIIQTrUlx/xM53/1ANxGsDE5it/i7iZJVetzTD8MytpDJgSqWiVnQfAKZUKr23Me8DEQ8aVq0VEXWsVjHWlqwYX1gyR3gH/MRvEieI3OAvPwemVKoaqXezxBhi/6QvTxzprGusURlp/OZY733dSxeene/iWRzbO3eIkJWBAmIjD2Tqr1QjlVWqGlmjmRh2IJUplGPp6nBwkn2FUHZHj/dIph2r3a/7yZP7WuYbX0aC+4U9EKxkH2NdEaNWd4gnz1I/cgPx1o84a4FTp3hn6FPwLy/fuajPC/wpOCN71eo2DF8P9CgaA0JjQCMZzei8t/WmcBF17t4Vd4spYuZF4YWsX0jaBeMmTNptz+7NmFWEbXqOboqCIgWtIlozlOtxCUmA1LyAcpfXcGYUKMGlUMDlFBBIZRWUqhoag/3TeqOyw7RTVWtCe+7WPtFS/nyvKQ2YYoJ5U6m0Tk0QpWQMgKmY4tzdjyLn3DrWkiRJkhJTkiRtI61HphV2n6H5MDMzs8SUmZnZ/OgFyH5H/BBLWwAAAFEAAMEUAMBYo0La1X8US1sAEAUAgOrkZJWN2bJn8cK+SlQMvHZ6YOQ7uVftvZ/uhD8ifDl3rN0V/92l1YlpjG0wJ2jfM/udEfQc9Zfbc90uFEuq5foDkBA38Ow/A4BnMjtM8cx8u0RztwPgGBzDs4cMx2ilHlr0BCpjE4UG4wGQvVX7Q7nB+FmWR1apVBgB1OeelAfo6/lpML48e2TVRmlk/IiqJhGDDAoIgtQ8QQ+NgzsZPHCaHk1f9zwB9B+/3uLx1zwB8QAAAAAAPOZ/CRwzCx8EH/4OwLlxDA61wTEIfIfwx8DHkMdgRxhy/uFXnIU/CP7w9wPfD3kPM7LEYIu4OHwhS7Ta/EB1MR9QiLfllOw9tXBpcBFYlTQQ1FgIq55dEDrJk+naSYZiZm6uU4oldMXeK0DPzhw5wcXNk0/4BQSFRMUlJAFS8wGeGfZT0k9fJZCDraGAyykgkMoqKFU1NAZL/KuVkM8uZZejtFysu3sppTSFFn36e/zUy1CZT89oTqlPBSDXGAgC/t5O8z7jLRQ+E9/Hm6/WEjxstbr2iVyJsWd2nI35qnkTDAQ1tk+tZMOgcfJS08+FZjpjfLMOzt+a7yGXv4+5dtv5W/brdupX/T0PBoIgyJ+ozQIbBoIgCIIgCHJEesZLEOFNFHA5BQRSWQWlqobGYOn8aqXaQ6LscpSWykQeWz7/lL1RSulETe5uv53EJ34OTKlU//8CcTRmsx+hjmVG4ga9mtk5eYiuIuIpD0Q0t/bHOEo3zF/vu+NG/sR5OIPHds0eEisAVtmUUVkBRFwFAKvMqRxTR1wFUVZFVhVNVQRVAKcBUVNFShUdVXbFIqKKgiryqWzJscU+3Eb8LdDPAVAADzeML84c/QxgAIAUn8LRm+vahN5I7S7XEtr276kpBQNBMz7SkflQe2cz28gvN6e30DvFphTm8Nmt55Bxjmvc4/G/y6dHjBAJwZHAXakQQrjpnuU7obd9WbRdTI00OkmSJEnS81Iq9XilI8Hju/HozIbnFvEy+Z2lqtWXYlyV3OFpo5ZeK6K/dsL0qfg3YWh9m7kHAwB5GTQLin0ftDxu+hH/VWvriLidkT584y57+98r+jmDAXgsDQAA4DFzySRTAAAAwGMPGJD3NQGyI8YUDsxaIGQponRQsXtdfigiImadZ3GeoWXerKpVKjlpwgLqpVUJ2Dk4ubh5+PohICgkKi4hCZCSBkPhcgoIZBNewnWbaVcNFUIIIeThfRf5nnQk/KuXDP3/Ru/8ATkAACD32xE7ddoZHQAAAAAAaOpfBlZDOso9Jl5mNDgx3IYz+/QX78B38WjHFzyUO2Cyz+Esb9/yZ30gGjfb9AcHZDxheXCKg5uzeaaAUx2omnFsOA3f/vmfrSgTlAzv+DY+yDx455JLrrnlPo8YZifqRO91531qfvs3BQtgfs4qJmUZvIixK+Z8MzNqZX2e/prTZpw9skQJPIXgLM/sVC4AADjvme65dF7eeVW5BQAAAPwLGABACSU5pcNmHS4AfzOQGqdJooEcS/QySY6RSXyA41jnlyWCar/7trSvaZ9yJfeYPwqH2X2F4fW5ar5y6qp5qklDS0ffwDbOvC1YQoDA6Nj26Wgcp/tpvGQSrSWWXsDdGZ1UmOiTYGUS4WsB0KsSJZ58gzupL5WkpKSk2dCgebXWJDH2E/hxJIx+3WzoDcyn6jt89fUfJ8GLmJ87TN3PW8xCaZp6gAlqJ7AXKQklSUIhRi+BJEmSJAml00DHPqhUtmUMkCSVK0CSyhIgSZIkqfwAZQAo3X+J/kvTX5tQDZKViL/095J0GkjSMZCkBE8yVAAQABBEKX4AAAAITgOOfQAAACC+CAAAgKQAiPOBGB6SC+JqgFgX4lWIUSF5ATgNAI4BgEciUjg+dpUpttm2bTYz27Zt27bZPga2bdu2bbuTYtu2bbtdIp2RzkLH73Zl2LZPA9s+BradbUQ+2pjC6rKrTgF8AADuQd8LAAAA8AEgYQMJONECQOIkQeYsj7kl53GiAjgNAI4BgDYhqUZVVVWvE/ybf6iqalRV7Rmpql3FVVVVi67c6mlsPMecr125i67WqqqqqkRRehy0AQDI0EEAiFl+tQTIP1k79RL8kMoCSgEofij4IlfMBdwarAgBgGuMvTNHhTsCAID7pWa+J4YAALFGxBcBAGR/neysA8QRASFA7BDE80D2zuNhIEdCiW+B+pFUVVVVVVXVOpHqOFK9Xyvrq2M3UlXrNVK1hoGai+opqpWoPqKaheoUqlKq+5fdubQ+H1UNId0AAFB+4X6wl69OckHdIcos6gvVC6oLpK5O+QWhNgsAAKDeGrUMBKD2UVdNTVQ/re6Z2lqXrOYCKAAAAGhlBQKgVtaymgUg3C+xd+F+kJGvDgEAAIBSiYCSqNzVMhDuhM4EkbxDkhRF0TRdJoCWhCRJUupnAKikz6V7LsWzJLlzQmdJnNM0J2hOyqxNBcmIW2vkkGsKAACA9NaQ2BqQ0hrSWKerPo2oWkLq9NMpp1NLJ49OEp0eOjF0rYcEtRsAAIByV9PvDxH71SFlsNYDSmsBQPkthgTiThOG1OFFkii8YKQCV0gSfBfVFqkCAAAADPnhaG+V4Zfbk3IdCAAkJAASzO4AEgkAALAdcyBJkiRJkiRJkiRJUsWg7agAqq3ViFqw1jGHbNu2bdu2bdu2bbtzZLd2v5fndcwxh4mSDRsANF786P2pAaHv39R/vqJhldABAABgXA0wmzek7z//W/DYA2bZqYgiChaBoIjIIgdcNH/ri3xKVVXVzMzMnHPOOVed0kWZCwAAAAAAYDnTuEjRkn4l5QrJVkizApBghdQqAMlQ0p0kKJGUJAVJ2hHJRNKIpAVJBYJ1zIEkIKCK0levDc4UjRnUDLUVe+qUoRglRE9drqlTRajkC4U5Ja4PYzVf9YtRF96XslyoiyNUpVW9WpwfY/gcpMgM1vxboo4tU3TTS7u17m3fdiame9gbWBgvAtaY2HVOjh3NuTP+qEZ5zXRkHbJs2bJly5ZbHr1YVpn8YdCWWzIiBQAAAABADEchhp1izAkAAABADv/n2D9JkiS5jt8cSZIk+dR84p+I+Kw/EcWjcOb7OTP9M83PuXw8s/jzey1n/p4kueyn3BUon7REoqJEREREZEmziSx7K7mKEhERiYpavauqqqqqqqqqrpk8VV0DaKpWUVGqqhoV5aKiXJRzUc4551xU7GetnemdXZfKRTnnnIuKMjOLsqioW1DzyGFmZpbb/1vd5tu2k7ZUzMzMLEqUTWlrF28OTKcqsjSKi8jSHD5fjSRJ8nav+fHvldtSzvUNNUampapqzFp1fRO/+2pbCTMttuOpMevKdw1Avsvzu22oi34ki9/7kWPPQ9nzR1bLsSQpff/6GowlSZKkt10IIfpOMQkhhLBYLBZhkc/sv5dXnUWcXkMIISwWIYQQlsvlMoQQwnK5XC6X+cz+22t9GZbLZQhhGUIIYbVarZ63y+edqRDCarVahZD57+XdmqtVWK1CeN7d5/u/ePuqCCGE9ROF9XiCjt6h1iGEsF6v1+GZbb2/97W4Xq+LENYhhBAm8fxH8ew/kQffkZL53BkaKoSwtbW1FULmv5fXbgghQ4StEEIIbBF5jjdGM7yonFtBm/k5ZLac6ZuL0fO1mOO8p/ldBtf8dZFPp5nMG3eZTKYFqZSpve196Fys3M29I+Af/UsHzbU0LvssYynu5btdse2sbMdxohxP+FSUZ5I6cKNmT1sAAAAAADAZHZh0DqQiKioq+lxOFEzmhsnWTHpmnpknJTP5GAAAALYS/UHcvzzu7u7u7u6evn3rHUf3jK0ojy//6PeFcfd1LKQbQHzakiRJkiRJkiRJ60BIUupfhaioqEVzCbTeSy2fJUmSJEmDpdoxF5fidlM8w6RgYu90A3r3O1I6U3umNgwAAEBgs0mtp2wrwBEgGgWROKJvhJVjT5XRiTBWJafCN1W9iUCtqwMAAEA4zrz1b+QJAAAAgAgvAICmvCdx4s4AAAAAAAAAAAAAAISygflCXEQLfddnb0PcKFGE0Dd6lBCKBgAAAJDUjCRJkiRJkiRJkkxkxuRlScqSjmVtnSygk9VzknwxH+DEXow3kyqKUVzZ2IUR3k+vhEySJEmKipIkaWVjKw+7SNs3ek+YpPWdZVbhu3vl+rZSWklYrveBBSVJ2hiimZmZmZmZmZmZmZmZmWWNE4qmBW1vlDefc1SURZlzzjnnnHPOuago55yL3a/dSXTnRo5yzjlHAgAAAAAAAGAWlSGhg0FnXYeBwizwANChnzDoM3W6c0DnIM5cVzioqKgovKzHo6qqqnrbS98FPTW7mfem3bvSbs69TTfbTnaX2VUko1QdJzkAAAAAAAAARouBwowKUylmgO9s96Sex0dNZajZ9DC1n1KPHZknNY0VPACQpsD8CtfFFkIYWJ9jW/zY54FUotye2j/72SDazzhKFPucsO7F1rc49VoLChjAGoFZFwAwKyAAuAe9dQAAkAowi/3ZRzcOvAufKSV0mX+ZvzKGsk7GJu3SNt+gvi8SRs+3jpiqG0ujpXTfOFIMY5s5Mr8lYOjn3E4925YuwCrx5x7urGXdHz+eTh0pXU+iGwkYWlLDEtKZ+Od0EKz703fdqU5JN6k+HQN8st/wfcDQehxPzfv3nBxj3iotqHKCKhuIH47nJJIBtHgkAKi+0epbTX6/b7r3HNSBxPc8Hn7D9Ff1mntnN4iHZenU9sX4kcavMkqc+m00yltxQuC02WlNCe6Ykm9/l4HrkTP4Xe1vXJXMK1hy8uiT4FyvKQV9fSFJEqMMIX4IIoJIkiQpFUnLWpVllYrIXK1rfUoqUUIp2vuxalY0AwAAAACzwn1WEyd3W1xCaZLU9H/KvscrvI8ls7I4V2bZj64AruPzO1yjAADz49T0zd+eMVMlCvOjK4BZeHZt29329d1+B6ptX6ehw76uDa92vbZDLXbhr4+kEmXMKAAAAAAAyD7/9oxtqojvj3oCAHixQ2+qJEleF/tn5fXVfVZGIcl76gbPrqy/xdZnV9DfwtOzzllnZpU535lKFEnS9W1/h2sUSZK0loik9HngGdtUFd+/wlOStB029wAA1+/mTdWaH9bwsAuwWV/TwtoVpkSbZDb3GXglCgAAADA/BJ/lOuYCpM/DTyC+f7UnAFPKZ6exvhJoxGYAGJ+pAAAAAABAKgBGuEn2eeB9LsqsYJ4HSZLkjWc9SJIkSZJMheRc/Zp9HnhTZoWSpAuAPCTdYN9DkiRJkqRUJK21vVrnlCtRokTRXsVg297rF2zbtj1in7Yfn+3dmJmZmZmZmdm+Q6p2Vos02LalOs7O6IKO6fm9ph72eDx7BhvsDg53XfeeOsbh7q633b+X5IQlTUYSAFx0wWEmAAAAAAAAuIuh+6gvPyjxQAAAAFBzVhFOkiSJVsIS4NUNjoHseJrKvDuKvWRoHcPvXyYGEt2iDJ25aqIP/lXpHQwppZRSOs1J0mvmUkonjiKv5FIqjZROHHZbSukrGr+4nXoew0JACAD7Rih8XQEEAAAACAAAAAAAAAAAAAgAAAAAAADwcAv1++sJZygA3DYF3CqNAAAgAi/bFwPIMngfTgFKllYACABZAMg2PGBkWRYMAAAyAMiybF9twAgGAAAQwkOQlpKfBQCIzYJniVcPQVeGlCvEWo0thQqnKsB5EgAAwNjJy8vL+/NSeTnLCVZiKnYVEWtQRMiOcyWOKFnXBANB79i+DhsO6E33mHk4fEzvC/cj5HHEeYWIIEnhVJTM6+wB3ws8Dw4vuPj4B0RIXEISDJdDqpH5os+5XScswf58NwpncYg2AAAA7P/XRjzdDOZ9eUlk5Svf572PNn/4XgAAAMDYDg3cr0DoU80eAMbfEgIAALDiLjMX3HcgkscUGES+GP1yPfU1DH03Inn48U+niIh8n7u/GaQ7PjECAAAAAAAAAAC+O+yH4EoAAAAYwHOsHxIp7vUAAABEo/imyAQAAES5GxXYHXk3J3AqG40GAABj+xaoqampCQD87wXgZuh70zuvp/C6qq3OtH7xf3yqqqqqDiASHfLQWyJrFH1eo9BzoDUm8bx6R1WT3/04anOsqgoAAAAAAD5883k9ETrfAAAAAPAd3/yftUSWDgAAAAAAAOgAAOzZA4DdegAAAAAAAAD3KOC+HNyvgB0R3rEXwmzb+QAAAGyNDa7rOT0kSZIk+WkWNT3fSJIkSX5XeNN8oQI+12LbeirjwOcCAAAAAFwYKLiljf23taSkSCkCAOD9jWGgfswweAkQAAAAAAAA/PrOJfQsoU8JvUmAxiS0JKEfCdB6tEeJtlZzERqKAH1EaB9C75BQAQAAAEef5/uvFADwrmQrBQAA7I3kaFcAAAAAAAAAAOX4H3Wp8VhrPd/W101pdjzWWkoBADGtjiUAAAAAALxSAwBxCKcPpei0tbJjHcuFBcxXkBw9rgxXyGoFSRNqAAAA4JuPi4FLoY8/RTAAAAAAAAAAuK4YKUCGFKKjAJAbBYiLAkAgFNKgEP+EyCc4q4cK3VPIZkIwE1KZkMekEAAAjg0AAABgRzUo1r0zxMwAAAAAAAAAAAAACNSVb7q0rwuLAgDUzE/+p26UQ5KUKKCQJEmSJEmSJElfUq6yJMTqPDWGRddEkiRJuW88EC0lQEcIIYRVCOgopdRbPiilFHB7AAAAAAAAAAAAAAAGuwgCU1LAyKnwIvBLifdCmBdyuxDLhUyuYzW8kRXbKQAA3U9FRERERem0i+2j5qK11lprrUmSJKPKECPJAcgztFyg0MBYPaAENAfCDCXsWFUVvqsG0V41fzaVhZZINaWvUNfS2cQVSmoqSqopKYXmgKJds1Hw0YQTSmotsYQSqCMUzZaNglHwqpGyKR9sIa22yVhq2+O1BsiQ2vyzKhMt2GAF9YBYVWcaaGRJkmwSlTHGGLNxp1eTyUoU81EXT3bWEy8IjTrZVisJcKWSRUGS7K6BfW+CAAAUAEmS3YGvTwK7G2RfZRIgSZIkAYAkQJ5EsCfhyySra2woArkAyN6C4K1XwNYrWquqUKFCJhRgX9JQWGutzY6lwLvbuuw+IUMlFwTfyuW8H6OFs3JR762clcCi3lsAQyUBYGHuPdYIyaW3txgMuaD2aiQkDH1cFHurUY6LX1/XUEbFqEVgOelzustjQwEAAO9lUY0A8Lfh4ptu/E/UXgh8c4rPl2xirxYum0pMUcJbqsRbiLttiTJqIXEVO52Zmd3dvcmaqfqX/b6ZiEq5kzmh30JCnZxKDLKsPKRVAgABlLNcDWr8ltLo5FRiaGAtfX3OneLRy+ekTo1HF5+TfzLibPdkREQUCgAACCCSBAAAABARiQQQEREBRCSJR/+eJI/OPUkSEyJPHk0kD4+ePRERj249T0Ew6dV3pzZcaSxf4frJVC3Lskz4rfSWUooJN0Hp58KR1yOvp/J6ZCmllFJehaEo8k2qqqrVarXaTQ76vRAD9HspA+gUQ92uR96snyNviM85ljeL52ic2w3fORredpN3jga23ZydU3ijc45Gst2gnKNxazcch1t7FYxSu5E0sy9oxi0AADBTBnNkQEuQYXAMk2LGxEyHmQUz+WXsyyQXAOqfoJa/lyxeSFU1pUU1ryEsVlX1chq8oqrqRTVsRVVVjVZRxux98lOUsXk/70Vt+/lurnu3IVjnZ54uFgAAAACAGB0QoAOACJqyKzzeAh/icqZtAICsHEBQDlnzh4tMHPX/PhQAACZrjgpxKf7GIvsGkTcAAADgHoOiAAAXr3e/e2rUz92rS4skSaJx1fGoAAByDHp8vOpyVAA5Tj3+3BYm+3tobgQAOKratUmtp1HBXf1f1Q6GxXETxAEAAAAAAAAAwGcxkWAsUiAR5nissEWkIgIAAABAiWeBG3gfSPFakiRJkiR9aWvPSFP6WVCWJEn6WOlvfFEAANZB/gAwMEMAAABwtuYGAIBWxwBLBAAAfCF7MAEAgPL8JgcAQMZ11tyCjNaEsH4tAAAyPLNNCwC/AAC/AgwAtDE2M1/vErpixWRZMi2V6jv6uZktuAAL6yWTrDI14ZRdjpmWNJt9HtPP54PcjdNcSRlazdxmwAjNpSzIwlm0icIgzdVZufdkzCFTnpTKLtU33hM2fz+R571JZsQOjGk1t8FXG/22SWy2xVbbfrf/OPjdkJ65t4PttMtue+zrcAxHHXPciU7CqT29NrY2oS51JOz8LjyfUv8hhPiahy8GeElfFldcdc2N3+chQA5DZJHdDNOtUrfVHXfd6z71AB565LEnnnr2n+HjlTc++ORLX62+9R1++OlXU8H6HYkL99/KzKumz7HCvC/dsAvP2krfSxMFPv2TXSqVXtf0hrKka6yK4QLxsBMlTpI0GStfsIwpLNOo4dR8mR9s1l352PRydJuTkpKq55aIIBIHwsYWblGixG/VgyJJVpAWAgAAeEssWVqowUVxWqiLErVQD06YFmufBcNVIMiGWWcFM25gVpgu3rNCOKuuyC0CAAAAuSUukgAAALklnueS8aLULQIAAAC5JR6eXlvPRvwWcktcCVyMVwgX40UyXiTjRTJeJAEAAACsTaPHcm0OrVybQCXY8ZZIMIJBVphNx05RXLP+6VYEb4nFRA0e9N+KawGsJSUlJSXyZ141r6vy+uf+TSoH4JPDBlN+d7J8bIXxBx+81HLG4gcAAHhg4NwTAAAAAACAAAAAiCACAoAAIAAAAJiNBAAAAAAApNkB1Nn/pin6fn6AJESFqwDJa5+9bwIAAACANNPu1WraaFcrAAAAAHAKAAAAQJ6C3qx5/nmzAgCcAnAKnHIoAJwCAAAAAAAAv67KAQNrov4qkTUStsIK29hsiaK68LRBmJZocwet8dctgQeSqqqUlJKULadvqsoA9J1uzZjjlZrRtLOqDGOaNUNnZs3Ij1mlnqJKVTVPB3BnUONKVVX6Bu5sanrVrdb0X5vVU5Q6RXqKmibWHVvTBLpa00Q5q0pS1t8/P3ZmdfhqVUqSJEn+dVUOJUl6P0V/900AQCLrVqpkX80KAAAAHK5CeuLPmi7ts+a5GM6a7s+zpjfxrOmoOysAgFOQPhSzpnl/VpxyCiDRcLH7t6oRoDVaWV5jMAAAACNsDe9HlsfZECZhCgAIAICIiAiAiIixsQDpny7eGMDYAQC4G8v/LyyjqqqqyqCqqqCqqqoKAKCqamyGAgAAAKDgz2BJAABQwdkPJVWIf8W+7he2ScBjewbSwj1Ak1YCAAB8ANvdvhYudrFye0DVSmApbv0bt1c1rbKSAAAAwMs9QimlFGLHOn+nSwUHAQAgAAAAwH5xn58QAAAAAAAAAAAAAAAAABQgQABUa1Eo2gXgBJK9wqkLS5ykrsSpq1rxN6PsEQAAAAAAABUUAABAFQAAAADATwBjd+0AAMDhYigNoBcAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABjbBl1kUAIAAAAAAAAAAAAAAAAAjB0AAHB8tveGAQAgRxIAAAAAYGws9XbRB8UEGHMILbJuoMD6jiVhMBgMBoPBYDAYDAaDwWBOPN5lH3gsgHm7T4H7YYb/7vaZKYY9eC734Cpo28EBL5R2xUr1PCTdHheHGpXfAlRfMTFQDaxRKaGePl8dxu5I+U3tx7CHKMbEwcyhqgW2G1sS7Z6mATqP2SS9gl5niCTLq30NwZby3KPAqCleMuxbrGRccQD7qhnk/AXv9A8XPJPMtAMX5iRXh/FQO7CvAkFsNIdKf/AyPPXU75gNzBEga58EAlyyzxbYPoH37t0QCTC2l1Vomv7rvHKrDp/1nwBptK4rLa9h93iOIco+MW69vXumPOAm5h/hJV727Tlu8VtV+OBmdO/0TzVlrQcF+Wxjwr3ejXMg6XYDcqTnYPqeiVr/xLHYIU7UIb8Ei71IC6yrj0Uo39kVECTTmj0tz4g1p0VjceaOQuBB3LD4lqvIbeZwhMtb2BXpDVs87rX9Na4L/7VJIOejPr4o3v2KE2XxwQdLK5KM1tuZVL2Jj16PWkW/jjTzu6ddtxoKC6uOSa93H9t3K4fZdF6wMfbtOg/VQSJ1uEjH3WU6oN4GwG1JqsWDQ4okCAFcXyryeZ6IskbUfap/Ay8hoUU2WJfGveBI1PuWAqtCVZnhJQlxxxs00tfnfxBJC9T7ZEv+Ei9B+aG08VGa5OsAXGed6VhfPnM0bwSPPyxSoU94owpcUQ62s1fZwX694ylunBRlk0KE4iFJUyLz3oexI1JPWK6nQRqSpJRaSAKObdqIwqsZOuwVRDg0qPiK74QQDnHcRaEsROxFXYBoqdPhQ6CKh2rmXgpU8cmriWRSUPGip4vuosBIEpNkqaG3pRIzEFYzqq93JflS+oDSTCxjYcedOI4dC0jTUREIuz8PCo6OyPp4gI4K4c0XoBDvxRqyeE31hU6YkbvBJ3tiakVLZ/anurA/4/2ffuHETxPP63MVfGU8NEK4/CCPYJ5L0oC+gZYGbmye/7EtabGF60qds1897tvn8iIrTRmEXeN7jRCPu5Nt7sQxFas53okk4ZBr4lBy7v91+Ps/wJqyzQ0AAA==);
}
/* Font stack similar to Tailwind/system */
text {
font-family: 'Mark for MC', system-ui, -apple-system, Segoe UI, Roboto, Helvetica, Arial, sans-serif;
}
</style>
</defs>
<!-- background (remove if you want transparent) -->
<rect x="0" y="0" width="434" height="220" fill="#ffffff"/>
<!-- Grid (horizontal dashed) -->
<g>
<line x1="70" y1="180" x2="404" y2="180" stroke="#E5E7EB" stroke-dasharray="3 3" fill="none"/>
<line x1="70" y1="137" x2="404" y2="137" stroke="#E5E7EB" stroke-dasharray="3 3" fill="none"/>
<line x1="70" y1="94" x2="404" y2="94" stroke="#E5E7EB" stroke-dasharray="3 3" fill="none"/>
<line x1="70" y1="51" x2="404" y2="51" stroke="#E5E7EB" stroke-dasharray="3 3" fill="none"/>
<line x1="70" y1="8" x2="404" y2="8" stroke="#E5E7EB" stroke-dasharray="3 3" fill="none"/>
</g>
<!-- X axis -->
<g>
<line x1="70" y1="180" x2="404" y2="180" stroke="#666" fill="none"/>
<!-- ticks -->
<g fill="none" stroke="#666">
<line x1="97.83333333333333" y1="186" x2="97.83333333333333" y2="180"/>
<line x1="153.5" y1="186" x2="153.5" y2="180"/>
<line x1="209.16666666666666" y1="186" x2="209.16666666666666" y2="180"/>
<line x1="264.8333333333333" y1="186" x2="264.8333333333333" y2="180"/>
<line x1="320.49999999999994" y1="186" x2="320.49999999999994" y2="180"/>
<line x1="376.16666666666663" y1="186" x2="376.16666666666663" y2="180"/>
</g>
<!-- tick labels -->
<g font-size="12" fill="#666" stroke="none" text-anchor="middle">
<text x="97.83333333333333" y="188"><tspan dy="0.71em">1</tspan></text>
<text x="153.5" y="188"><tspan dy="0.71em">2</tspan></text>
<text x="209.16666666666666" y="188"><tspan dy="0.71em">3</tspan></text>
<text x="264.8333333333333" y="188"><tspan dy="0.71em">4</tspan></text>
<text x="320.49999999999994" y="188"><tspan dy="0.71em">5</tspan></text>
<text x="376.16666666666663" y="188"><tspan dy="0.71em">6+</tspan></text>
</g>
<!-- x-axis label -->
<text x="237" y="214" font-size="11" fill="#96918b" text-anchor="middle">
<tspan dy="0em">Devices per user</tspan>
</text>
</g>
<!-- Y axis -->
<g>
<line x1="70" y1="8" x2="70" y2="180" stroke="#666" fill="none"/>
<!-- tick marks -->
<g fill="none" stroke="#666">
<line x1="64" y1="180" x2="70" y2="180"/>
<line x1="64" y1="137" x2="70" y2="137"/>
<line x1="64" y1="94" x2="70" y2="94"/>
<line x1="64" y1="51" x2="70" y2="51"/>
<line x1="64" y1="8" x2="70" y2="8"/>
</g>
<!-- tick labels -->
<g font-size="12" fill="#666" stroke="none" text-anchor="end">
<text x="62" y="180"><tspan dy="0.355em">0</tspan></text>
<text x="62" y="137"><tspan dy="0.355em">45</tspan></text>
<text x="62" y="94"><tspan dy="0.355em">90</tspan></text>
<text x="62" y="51"><tspan dy="0.355em">135</tspan></text>
<text x="62" y="9"><tspan dy="0.355em">180</tspan></text>
</g>
<!-- y-axis label (rotated) -->
<text font-size="11" fill="#96918b" text-anchor="start"
transform="rotate(-90, 20, 94)" x="20" y="94">
<tspan dy="0.355em">Users</tspan>
</text>
</g>
<!-- Bars (clipped to plotting area) -->
<g clip-path="url(#plot-clip)">
<!-- 1 -->
<path fill="#b1ada6" fill-opacity="0.6"
d="M75.56666666666666,73.15555555555555A 4,4,0,0,1,79.56666666666666,69.15555555555555L 115.56666666666666,69.15555555555555A 4,4,0,0,1,119.56666666666666,73.15555555555555L 119.56666666666666,180L 75.56666666666666,180Z"/>
<!-- 2 -->
<path fill="#cf4500" fill-opacity="0.85"
d="M131.23333333333332,25.377777777777766A 4,4,0,0,1,135.23333333333332,21.377777777777766L 171.23333333333332,21.377777777777766A 4,4,0,0,1,175.23333333333332,25.377777777777766L 175.23333333333332,180L 131.23333333333332,180Z"/>
<!-- 3 -->
<path fill="#cf4500" fill-opacity="0.7"
d="M186.89999999999998,78.88888888888887A 4,4,0,0,1,190.89999999999998,74.88888888888887L 226.89999999999998,74.88888888888887A 4,4,0,0,1,230.89999999999998,78.88888888888887L 230.89999999999998,180L 186.89999999999998,180Z"/>
<!-- 4 -->
<path fill="#cf4500" fill-opacity="0.55"
d="M242.56666666666666,98.95555555555555A 4,4,0,0,1,246.56666666666666,94.95555555555555L 282.56666666666666,94.95555555555555A 4,4,0,0,1,286.56666666666666,98.95555555555555L 286.56666666666666,180L 242.56666666666666,180Z"/>
<!-- 5 -->
<path fill="#cf4500" fill-opacity="0.45"
d="M298.2333333333333,129.53333333333333A 4,4,0,0,1,302.2333333333333,125.53333333333333L 338.2333333333333,125.53333333333333A 4,4,0,0,1,342.2333333333333,129.53333333333333L 342.2333333333333,180L 298.2333333333333,180Z"/>
<!-- 6+ -->
<path fill="#cf4500" fill-opacity="0.45"
d="M353.9,124.75555555555556A 4,4,0,0,1,357.9,120.75555555555556L 393.9,120.75555555555556A 4,4,0,0,1,397.9,124.75555555555556L 397.9,180L 353.9,180Z"/>
</g>
<!-- Percent labels (not clipped so they can sit above bars) -->
<g font-size="11" fill="rgb(85, 82, 80)" text-anchor="middle">
<text x="97.56666666666666" y="64.15555555555555"><tspan>19.3%</tspan></text>
<text x="153.23333333333332" y="16.377777777777766"><tspan>27.7%</tspan></text>
<text x="208.89999999999998" y="69.88888888888887"><tspan>18.3%</tspan></text>
<text x="264.56666666666666" y="89.95555555555555"><tspan>14.8%</tspan></text>
<text x="320.2333333333333" y="120.53333333333333"><tspan>9.5%</tspan></text>
<text x="375.9" y="115.75555555555556"><tspan>10.3%</tspan></text>
</g>
</svg>Personalization Impact Report allocation is useful if you have the feature enabled. It allows you to slice visitors in the Global Control Group to see how their behavior differs, and to focus on non-control users when doing cohort analyses. The field is named globalTestGroup, available only in the raw dataset, and its possible values are "DY Experience Group" and "Global Control Group", and NULL when the feature is disabled.
<svg xmlns="http://www.w3.org/2000/svg" width="435" height="190" viewBox="0 0 435 190" role="img" aria-label="Test group chart"><title>A sample chart showing the comparison between Dynamic Yield experiences and the global control group performance across multiple metrics.</title>
<defs>
<style>
@font-face {
font-family: 'Mark for MC';
font-style: normal;
font-weight: 400 400;
font-display: block;
src: url(data:application/octet-stream;base64,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);
}
.muted { fill: #6B7280; font-family: 'Mark for MC', system-ui, -apple-system, Segoe UI, Roboto, Helvetica, Arial, sans-serif; }
.lbl { fill: #6B7280; font-family: 'Mark for MC', system-ui, -apple-system, Segoe UI, Roboto, Helvetica, Arial, sans-serif; font-size: 11px; }
.val { fill: #6B7280; font-family: 'Mark for MC', system-ui, -apple-system, Segoe UI, Roboto, Helvetica, Arial, sans-serif; font-size: 10px; }
</style>
</defs>
<!-- background (remove if you want transparent) -->
<rect x="0" y="0" width="435" height="190" fill="#ffffff"/>
<!-- Colors -->
<!-- Global Control: #777470 / Dynamic Yield: #F37338 -->
<!-- Legend -->
<g transform="translate(92,18)">
<circle cx="0" cy="0" r="5" fill="#777470"/>
<text x="12" y="4" class="lbl">Global Control</text>
<circle cx="150" cy="0" r="5" fill="#F37338"/>
<text x="162" y="4" class="lbl">Dynamic Yield Experiences</text>
</g>
<!-- Layout tuning for 435x190
Columns: 4, each colW=105, leftMargin=7, top sections compact
Bars: width=26, gap=10, baseline=150, maxHeight=55
Top-only radius r=4 (Tailwind rounded-t-ish)
-->
<!-- Helper note: top-only rounded rect path:
M x y+r
A r r 0 0 1 x+r y
H x+w-r
A r r 0 0 1 x+w y+r
V y+h
H x
Z
-->
<!-- Column 1: Conversion Rate -->
<g transform="translate(7,0)">
<text x="50" y="58" text-anchor="middle" class="lbl">Conversion Rate</text>
<text x="34" y="78" text-anchor="middle" class="val">10.0%</text>
<text x="66" y="78" text-anchor="middle" class="val">10.4%</text>
<!-- Bars (maxHeight ~55, baseline=150) -->
<!-- grey h=53.0 -->
<path d="M21 97
A4 4 0 0 1 25 93
H43
A4 4 0 0 1 47 97
V150
H21
Z" fill="#777470"/>
<!-- orange h=55 -->
<path d="M53 95
A4 4 0 0 1 57 91
H75
A4 4 0 0 1 79 95
V150
H53
Z" fill="#F37338"/>
<!-- Delta pill -->
<g transform="translate(50,170)">
<rect x="-20" y="-10" width="40" height="18" rx="5" fill="rgba(255,171,130,0.2)"/>
<text x="0" y="3" text-anchor="middle" class="lbl" style="fill:#9A3A0A;">+3.7%</text>
</g>
</g>
<!-- Column 2: Avg Session (min) -->
<g transform="translate(112,0)">
<text x="50" y="58" text-anchor="middle" class="lbl">Avg Session (min)</text>
<text x="34" y="78" text-anchor="middle" class="val">4.34</text>
<text x="66" y="78" text-anchor="middle" class="val">4.48</text>
<!-- grey h=53.2 -->
<path d="M21 96.8
A4 4 0 0 1 25 92.8
H43
A4 4 0 0 1 47 96.8
V150
H21
Z" fill="#777470"/>
<!-- orange h=55 -->
<path d="M53 95
A4 4 0 0 1 57 91
H75
A4 4 0 0 1 79 95
V150
H53
Z" fill="#F37338"/>
<g transform="translate(50,170)">
<rect x="-20" y="-10" width="40" height="18" rx="5" fill="rgba(255,171,130,0.2)"/>
<text x="0" y="3" text-anchor="middle" class="lbl" style="fill:#9A3A0A;">+3.2%</text>
</g>
</g>
<!-- Column 3: Bounce Rate -->
<g transform="translate(217,0)">
<text x="50" y="58" text-anchor="middle" class="lbl">Bounce Rate</text>
<text x="34" y="78" text-anchor="middle" class="val">1.75%</text>
<text x="66" y="78" text-anchor="middle" class="val">1.61%</text>
<!-- grey h=55 -->
<path d="M21 95
A4 4 0 0 1 25 91
H43
A4 4 0 0 1 47 95
V150
H21
Z" fill="#777470"/>
<!-- orange h=50.6 (69/75 of max) -->
<path d="M53 99.4
A4 4 0 0 1 57 95.4
H75
A4 4 0 0 1 79 99.4
V150
H53
Z" fill="#F37338"/>
<g transform="translate(50,170)">
<rect x="-20" y="-10" width="40" height="18" rx="5" fill="rgba(255,171,130,0.2)"/>
<text x="0" y="3" text-anchor="middle" class="lbl" style="fill:#9A3A0A;">-8.1%</text>
</g>
</g>
<!-- Column 4: Pages / Session -->
<g transform="translate(322,0)">
<text x="50" y="58" text-anchor="middle" class="lbl">Pages / Session</text>
<text x="34" y="78" text-anchor="middle" class="val">5.14</text>
<text x="66" y="78" text-anchor="middle" class="val">4.89</text>
<!-- grey h=55 -->
<path d="M21 95
A4 4 0 0 1 25 91
H43
A4 4 0 0 1 47 95
V150
H21
Z" fill="#777470"/>
<!-- orange h=52.3 -->
<path d="M53 97.7
A4 4 0 0 1 57 93.7
H75
A4 4 0 0 1 79 97.7
V150
H53
Z" fill="#F37338"/>
<g transform="translate(50,170)">
<rect x="-20" y="-10" width="40" height="18" rx="5" fill="rgba(177,173,166,0.2)"/>
<text x="0" y="3" text-anchor="middle" class="lbl" style="fill:#777470;">-4.9%</text>
</g>
</g>
</svg>Referring domains and traffic sources can be important if you wish to investigate visitor behavior by the way in which they arrive to your website. This matches the data that appears in the admin console in various audience and campaign reports. referringDomain and trafficSource are available only in the raw dataset.
Audience names are now being included alongside the existing audience IDs, to make it easier to understand and present their meanings when you build charts. Audience IDs are, as before, in the audiences field in the raw dataset, and the new field is named audiencesNames.
To use the new fields, you will need to update their Parquet parsing queries in your analytics platforms. Parsing examples and guidance are available in the Knowledge Base.