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Companies"],"type":"heading2",":type":"snowflake-site/components/title-v2"},":type":"snowflake-site/components/blog/blog-hero"}},":itemsOrder":["blog_hero"]},"responsivegrid_content":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"blog_text":"aem-GridColumn aem-GridColumn--default--12"},"columnCount":12,"appliedCssClassNames":"snowflake-layout-container-inner-padding-small",":items":{"blog_text":{"id":"blog-text-b8416975d1","text":"\u003Cp\u003E\u003Ci\u003EThe Impact of AI-Enabled Commerce on Consumer Goods Companies and the Foundational Steps Industry Leaders Are Taking Now to Gain Share amid Disruption\u003C/i\u003E\u003C/p\u003E\r\n\u003Cp\u003EThis final post in a series of three builds on \u003Ca href=\"https://www.snowflake.com/en/blog/AI-Reshaping-Consumer-Shopping-Habits/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"\u003Eprevious predictions\u003C/a\u003E for how consumer shopping behavior is likely to evolve as AI’s role expands across the path to purchase.\u003C/p\u003E\r\n\u003Cp\u003EOne of the most-repeated quotes about consumer goods brands is attributed to Hector Laing, the former Chairman of United Biscuits: “Buildings age and become dilapidated. Machines wear out. People die. But what lives on are the brands.”\u003C/p\u003E\r\n\u003Cp\u003EFor generations of consumer goods leaders, this concept of enduring brand strength has held fast and guided corporate strategy, principles of consumer engagement and countless marketing campaigns. Empirically we know that brand strength is \u003Ca href=\"https://themasb.org/projects/completed/brand-valuation-project-phase-1/\"\u003Edirectly correlated\u003C/a\u003E with category market share. Put simply, \u003Ci\u003Estrong brands “own” a disproportionate amount of consumer mindshare, which leads to outsize results at the point of purchase\u003C/i\u003E.\u003C/p\u003E\r\n\u003Cp\u003EBut what if that foundation were to crack? What if the disruptive and accelerating role of AI across the path to purchase marks the dawn of a new era where \u003Ci\u003Econsumer preference is overpowered by dispassionate recommendation algorithms\u003C/i\u003E?\u003C/p\u003E\r\n\u003Cp\u003EThis post analyzes these questions while highlighting key implications and roadmap priorities for consumer goods companies looking to capitalize on this generational shift.\u003C/p\u003E\r\n\u003Ch2\u003EHow will this impact the CPG business model?\u003C/h2\u003E\r\n\u003Cp\u003EDebate continues to rage around the ultimate shape of AI’s role in commerce. Critically, though, this is not a single monolithic question to answer but rather two interrelated dynamics to explore.\u003C/p\u003E\r\n\u003Cp\u003EThe first relates to the research and discovery phase, where there has already been a pronounced impact. Just this past year, over 40% of consumers used AI tools to discover gifts for \u003Ca href=\"https://www.nytimes.com/2025/11/25/technology/chatgpt-holiday-shopping.html\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"\u003Eholiday shopping\u003C/a\u003E. That traction is expected to grow as consumer awareness and understanding of these tools increases.\u003C/p\u003E\r\n\u003Cp\u003EWhile the transaction itself remains largely insulated for the moment, accelerating consumer comfort with AI-based shopping tools and rapid ecosystem developments makes the impact at the point of purchase a question of \u003Ci\u003Ewhen\u003C/i\u003E rather than \u003Ci\u003Eif\u003C/i\u003E. \u003C/p\u003E\r\n\u003Cp\u003EIn fact, Morgan Stanley \u003Ca href=\"https://www.digitalcommerce360.com/2025/12/09/morgan-stanley-ai-agentic-shoppers-385-billion-online-sales/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"\u003Eestimates\u003C/a\u003E that AI-powered shopping assistants could represent 10-20% of the US ecommerce market by 2030.\u003C/p\u003E\r\n\u003Cp\u003EBeneath the surface of this AI wave, the crosscurrents are more nuanced. Higher-consideration purchases are better suited for AI-driven research, while purchases of more commoditized items will be the first to see an impact in the transaction itself. Importantly, the starting point for shopping missions is shifting from a planned purchase of a trusted brand to a more fluid journey around a “job to be done.” Here consumers input a need in natural language into a chatbot, which then translates that to inferred purchase criteria and outputs a recommended product. \u003C/p\u003E\r\n\u003Cp\u003EQuantifiable data on product options is supplanting gut feel and ingrained consumer preference as the driver of choice. In-store merchandising and elegant ecommerce experiences still have a place in the marketer’s arsenal but will move the needle only for specific product categories and a subset of consumer needs. Increasingly, \u003Ci\u003Edispassionate algorithms will make decisions for consumers based on machine-readable inputs instead of emotion-based marketing tactics\u003C/i\u003E.\u003C/p\u003E\r\n\u003Cp\u003EConsumer goods leaders see the writing on the wall and are beginning to question their brands’ future in this “new normal.” The difference between thriving and surviving is a combination of strategic foresight and speed. While inaction is not a viable strategy, moving too quickly is a recipe for damaged brands, frayed channel relationships and organizational distraction.\u003C/p\u003E\r\n\u003Cp\u003EBelow is a framework designed to encapsulate the key considerations that should be driving roadmaps for consumer goods companies while striking that elusive balance between urgency and pragmatism.\u003C/p\u003E\r\n\u003Ch2\u003EAn actionable roadmap for strategic advantage\u003C/h2\u003E\r\n\u003Cp\u003ETo guide trade-offs between warranted pragmatism and opportunistic embrace of “big bets,” we’ve outlined a structured framework for shaping consumer goods roadmaps in the midst of AI disruption:\u003C/p\u003E\r\n\u003Cp\u003E \u003C/p\u003E\r\n\u003Cp\u003E\u003Cimg 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MEBBAAT1+NZqk6oAQSFwAGDAfA7U5n3E9YIQrukq5AP+AWySjpNS/j/HCz7Pzz77rFs7iGt54jhXJUxLrPusG6zDCOxaj/YBPPU5LtS1zM9jbYOiKPKTXRwQGuCdtQonfS6x7Yd9F+G3Ler+VXKfyLp/+tZgWBS6AcX8cB1jmmmm6ZDDPo+QjjBOJuszVxDU6hCwBKEf8IX8kACL+bJBjx49BFCC/YkyKBSwSgAMWmKJJYR80iH6AmAnHlKfPn3c30nv3r2FvyHysTIDBMJyAKs6AAxC8tjfOJf4IAPpRtXnAIIz2nW07AjUcT2OBQOqDwLE9R+mKUAAONB1jiXCbPeslgNmNeDYUZUfAwUKsBVtOib3SdcE1DJAwYACTXVKlg8OJAEEWA4YOFDe6+nVq1euATUX5HCiiSuttJJGO4SY7enhAXAAk0DMEzlcsaFSAW0B2nCERJ7RAOAhnzgHOzSyCGOg8pj5kR4Sppag+JrO5o92hnbQApCOQIwVAPGQ2NgxCeQeJJoArAb8MpgiIkhjTn/zzTe7maaMHQAAEABJREFUu5OYsmoZDoYaTwpp+6effnJCMoc5TNE5MGl5Dn+qSUHzoVp6+Avf0GwDbnRrA0moc+aZZ+bdqSUtjtBwoC1RU1ktwz1aNF4czAAIVFtO/rzzziuMFWCFZwjfBKTpeyNNCfNRrBzgD+8KL+GAOhzKmCOHW4ATeEu6HrqoTzohc+PqBnGIOP2dccYZPEpWnvB3x7xd5bYfTEUhrBXwiq3Cf1tW7h9XYQCpSODvEvNh4hDeyrk+QpxDJ5oi4kYdOYA2HZN7tOsdc8U5BsQqQMGAuDKdmeaDA0kAgYEDnfOGfFBAP+2H1lr3D/7/jaJI0BgzQoQ39gLWcPYe0qIocpZKxNMS4CRrAOsw/QJ8al0fbNA0P0SwBLjw03hmfYsTmAGBATlYq7BQoL7WZZ3VeNY1UeuFYSn7J+urtsO6qfG0IdfFdH2lPvs8FmzsIVwz1HawzGOv0mcNEdgBlalHOwMHDtQspxgA6GdfJt/nX9K7Yl+lf/ZB3i9nDxrk72qqqaYSnCqyB2LxwH5H3ldffZUDtXk2qj4HEJizgAHVH1GRHoJswAGuLQAOQEG2ewQc+HK/ns5ywCXYT8U4YKBADCvVOgCBOSbbOfnDTL9ewYBwzIADEGMuBA4AgoR17bk4B9CKoNGgpJpoKjgw66yzii8cU0YJQRvNPs9oSjDDm3zyyXl0Xu/RAKjFAJuwClwc4Fyhth/MAbt3794Wa//Xv39/iTtEsfljWkgpNNGYjBNH8AOYIA5hPk4YEqaK3HPnIIA2m/GGZTBJ5WBIOgI2VxmIQ9ybJyxE1IGPaMQBBRCUP/zwQ1cFi4bbb79dVNvBwdNltP306dNHJp100raYCFoUNBk8oEnh0Ei8GGFGyb1NNOdxZp7wDq0+76hYW3H5gDoAKYwPbQplMAllfKNGjRJC0jhgcdgFNOAZAqwhLEZZecLfBH+DtAuwwviIQ4AVvGfiIWE9oWlYUWgcsEPj8FPjFo7lgFoHIDCPTR0bQ8DGTL9ewYCxI22PAQ5AjJmxt6fm/zJXQJD8VHuqFgfQSus+wtrBuqb7EX0CCvghcbTGgI+suzyjkdY2eE5D7COs01oWywGNp1n/tWyakKtYfl9cG9B6rNUaz7omar0wZK3UdtPunwAJYTtZnv13BiDPe9X67MUK/vCOEcY1T8MoioTrffrMmq5xrNV8JQFWhpqXNG7WfQBsyrFX+8A1VmXTTTcdWUIZyD20/SS115Zl/yrIAbUOQGCOaxYBGzN9BG7M9+PKVDstS/uAAxBjZuxxdZkrIEhcnqWVxgEDBQK+IRgnWQcgUCNYI2AH1RrmkbEzj7gBA4KY1UAcZwqnYdanmyoHK3wLoLmmVq9evQhiCeGPDZ1MDhoACMSVOJT5pn1oYchDk0wIcXgjVEJYR0urzxoqoMAzfg8wH1XiMKfCPBoHNAyU8wngI4o6mnH6ZUInfWhzND+856npcSEaaAR7vRow5ZRTCoc7tBFa3p8P2m6dC6HvAA+titYpFs4000zO8RPWExBmlAATUdQ+bwRotDII7sXaCvMLac3RrKDRAkTp1q2b9OzZM89ZYtr+svLE/zsC9AnHzHWGMI1n3g3jJM7BVa+cqH+IKIqEQzv5RmM5gGCcZB2AQI1gjYA9tkZjxRg784gbNcCAXSmI40zl06Ioyvm5oXU0v/x/ShwNru5JCg6QDihAOeKQ70+A5zRUqfU/TV8+EE55wGRCCIsHQijrmkidOPLbSbt/zjXXXLmmsuxDVGKvwVqLOIQVIaFPALn6rGcDfSZkjValAs9q1k+cvQ5ggDiEkE8I0TdhSOH5xG8vfPdp2gvbt+fSOYBgnGQdgECNYI2AXXoPmWtWtAJjZx5xjQIMmNVAHGdKSzNQwOMbXxVAMPaSXFSvCSBQu4QG/2EegBuFwAHAkQafZk2HrwctBGoc5mnnmq7Pfoh5pD6zgWvcD33BWjUVaMC1jArz+kzoHwR4hnBkRAhxF5N75D5hQkoeBypM/oj7hIWA/xwXR8PvpwNQ+M9p4vAPjYQeiJgfpo/+AYu7liqI0ibXJvy5KJhAXrHDGO1QH423r23BWgCwBA0+Y8GigvZ4Z5hQEs9CcfxjrjiWROMC2MDBHQAAjT1XMbR97Vuf48JSeKKAFO3F9ZH0/rDW2HLLLakm/L3wfjAdRSNJIneRwwMk6a1MeOZHMA55oA4EEajDvEZ8Zh6AG4XAAcCRRpxbI41ZtciMGWdx+KYhDrir+wP/j6q2HU04VwwoA5UCClRi/afvNKRaaS0L2KFxDUtZE7VuGJayf/rgvPI/bJdnrtvh4BarQcZMGvsx4ANxKO58EHc2oKySL7ST5q/x4bvy8ygbR5VuL64PS8vOAXwHIBiHNdVnAAJ1mFfZ59q0xjwANwqBA4AjtRlN8/ZioEDbu+W6ABryON8BCM6Nck2gbSqZ/hUCBwBHDBhIz04ftUfrojX9dE3TEHO+KGrXQuNMDiFR8zQkXeOqzcWqQNPQ7GtcQ7VS0GdC7iQSQght3HdMIiwUKOcTwrn/HBePO5jFlSuUxj1HvcIQRZHgP0GtMLQelhn+oZBDVdJcfPNJre+HI0aMEA7A+A3gKwMIuX4+8WWXXVamn356oo58rZFLSPETxz8063o3FHNLDuWADtyJ5XNg2myaA1spPEEo0D7iDq1YMGh+GALcaBqAin91wBwMKmdEuC6AhvzxESPHJo6JITg3yjWBMUNOHRQCBwBHDBhIzcqSCrKmaUXARo371gGk6TPWWT4o6tenXBqqxPqfph/KRFH7vkk8iUpZE5PaKmX/9Ndw9ih85sS1z1dfIKwBdF1FaPcttXyrLm0j7mygeYRRlMyjKErOo24cRVFynShKzotry9LK5wDXBdCQxzkSRHCuyjWB8odddguFwAHAEQMGymNxy4MCCL5cF4hjI58WRHCOy2umNOYI+BHOyYCBkCPJz5h8+yZzlMTE0Re8SPMJ9B8tMWlo59HoEFdCSFStN9pZPSSgxdYyCGQaJ8SMECLukwIKpGEmiuYaLREURZHwhQDADKwR4jTEvqkhbVSDuAaAXwJtG0eBCOv67If+fPC3wDyUcKKIwI32uphAjUYN3tI2nvT5LFZoPsl7UYuDKIoEUIXykN++anlIDymOf+p/grJ85gkASXnvHwL98RTqLytPcLBI3xBAhP6t8Uz/fP6KeByhcdT+cKoJeEM5tEm+gzHSWpUQfLkuEDd/nAgiOMflNVMacwT8COdkwEDIkco+sx/x/2LYqoIAms6VJY3rOsP+Mu2002pyzUJ/baPTQusp+WlI1yjKlrNP+O2k3T/xI6Nm9fhq4NO/vpUfY+KTs4899hhRRwDTLtL2wyeK2wL3j6/puMiYH/Zp/ysLKBjGZFnQAhxA8OW6QNxUu+1xkSA4x+VlSav3sswR8CMcpwEDIUeyPbc0KAAggOAbsozrApjXd/anBcNxVfMZYAAQJOwD/nCtIky353wOoJUINdoIefmlOj7xaUFN3WGHHYTP6CFkcVjYcMMNNUvwHKzmgnyGSAVZBMu+ffsKzgdxxLf++utLnMUB2m4OijSIaSLm35jNow3eZZddBA/2eCDGFJwytSbGj7m+9ouzRA5xOLvzqX///q4I5pYu0vbDZ5f4agJWE1deeaXgcRnhHn6iAWsrkviPgzPz1gK0g1UABzicDvJ5SP/ziwjD/oGZ+lqXLwdg5YBfCU0rFPI3o/l4dMZElesMfDaSd6N5gBUa9/vj74TPTvHFAPKz8oSvOehhEoEAgGT//fcXeMw8ffNV2g+JvzvSOLyr1gp/A+r0kbxWJQABBN9w/lwXwLy+sz8tGI6rms8AA4AgYR/wh2sVYbo9l88BwEX/yyi0yL17X9AkbaWVVpJQGC/FSoC2yiUsDXzwdMiQIXL++edLOY7qsq6JSXMoZf/EOswX5rmKhrNA9hss4gCX2au0T84P+kUI0viKje4R7HHsZ/fdd58A1rJ2677Ap4R9R4vUNWpeDgAIIPiGM+S6AOb1JTgRDJtqmGeAAUCQcMDwh2sVYbo9F+fAOMWLNGeJJEAAjTnXBZpz1oVnBQgCGAIo4pfkWgXXK7hm4adbPJ8Dof+A8Dm/dPsTHoD1k4A44+MZbQ6HBb3zzaaPsNZeQwRTRt9vAZ/N45CAQIZgjHCnZf0QawB11scdfA5/WCpgkUA5nOEhkBKvNXEfHeFS+8XUksMPGn+fGDdlcACoHu4xuefzfHw2ENN1BUX4UgBplC9EJ598svhac6w2LrnkEsHjM59r0vbgla+doU2/HtpyAASEdfKKEYBQFLWbXT755JOC8yeuRRx55JGi935pQ60UiPv98fkwDo4XXHABWVIKTxgzf080AB9PO+00wUKDZ762QJhEOBPUQ6uWgf8ab9UwCRBAY851gVbkCyAIYAigiD9/rlVwvYJrFn66xcvnQLgP8OwL3fTAVTEFi3mGEFYJO4P8sbDnARRjtVTqWEpZE5P6KmX/xPEtDmu5DkC7fE0Hi7jBgwcLvmpIg/jELYB8FLXvB6RxnYBrWfrOLrvsMllrrbWEfU+vsHGVUNd/6hg1NweSAAE05lwXKD775isBCNIOhiyRNzmuVbRfr3gxL90eCnOgJUGBJEAATTka88Isa/5cQBHAkXCmSdcswnKt+ozWxZ97+Ozn+XGET+4UItjrAYB8NNbnnHOO87wfCl9oGjhccAWBshCfPsQMXD83SJpPCP0jRowQtBG+xjmKIsHCAE132I9fv57iURTJFVdcIVhUcB/fHxuf/UPLxJz89KQ4Gh2EctryrQAoH0WRcA0EYRezUa4okK7EJyH9gyz8wxJD8wuFHL4BHziYUw5QhPoHH3yw8J5Ig7AGIIR4dwjjxJXQ8hOPouw84TA6fPhwQQuFM0dACSwzsFTwNY1qmUI/SvCKQ68+8/fqmyNreiuFSYAAmnI05tXiBUI1RP8Q8WJ9UUYpbZ1ibRbLBxQBHAnLJV2zCMvZc3oOAAL4pQGb/WeNh+mAxZpX6xAfK1iJab9YN4Qm95qXJoyi7GtiUrul7p8AG3xpCHDf36/ph0/PDho0SNhb+MoOaT5tsMEGgiUYYIBaCpIPaLz77rsLTm/D/Y98o+bjQCFAAI15hxm3WAKgCOBIOO2kaxZhOXtu50DLgQKFAAE05e1ssV/AkThgwK4SiOAZHu0xxGaufy2YYpOmpBpY8jGv1nQEL9J8QrhEOMNUkk/qYUqO1n+PPfaQKBqrPfDrcGcRc3Puzn/wwQdCH1gnYHmgfXFNwK+DjwMcT3HQoh7aZu4ncvWAPL/sSSed5K4i0BYWDH6extEukw+F80IbQjp09NFHaxXhkEQahDafDIRSnosRnwqkvBKm7qNGjRLmwBUEtEpoY/r166dFUoUAA7TFlxloi3fA9QWsNd5//33n8JCDWNgYAAQCPLzn4PfTTz8J1w4oR32dT3hAJx/CBJ8+uc/PAY/3cqBoM/0AABAASURBVPzxxwsCutZlTpSFMLHligSWFHgMh/8cGslTYh5pePLzzz8LFhocRgEn0D599tlnAjjEHVra1jbDw6ym+wAIf2uMT/NaLUSwxiQ+nDeAAJryML0Szwj1mOAjVEP0DxFHA08e46KcEmkQZZT8OpSvxNiS2gAciQMGGFNSHUvPzgGEfV1DCNG8x7WCHxfyleKETPajuHyuPWk6lk9++wCEmudrxf0yYZx1Esso/OJwtY31F/CUcmjNtT0sskhTKtZX2jVR20sK2SPT7p9+G3yJACs31lT2Ez5bzP7+9ddfC5ZhvsDv1yPOe+STvOz17BHsNVwdwHIB0IQySvgwUB59/PHHmuxC/3xCOy5xzA9WhlqPcY5JFvYaTedKnaYTMibN22ijjUjK0ciRI3NnB8CUXIZFSuJAEiCA6TyAQEmNNmEleBEPDOzWhLOtzpRaChQwQCDbH1EcMMBVAgMGsvExS2k0spiI+9qSQvWjKBLM2jmsFCoX5iG8UY8786qpDss00jMaFzTbmFMyt3LGTlu8A+7Vh84jk9rFSgNv04ALSWWS0rEOmW+++WTBBReUtGPHUSSHvCRhnb6YRyGeAH7QLwdL/t4ABqgHIexz6CMOMTZCJT6diP8ELFM0rU+fPhptuRBBGsE6nHg1AQH6RKh/PObLBjoO8hgX5ZRIg7RMGFIeAR0QIcyr1HMcMMCY6LdSfVg7jckBrKW4e48gHfo7KHdGxdbEtO2zTpe6f2J5hm8HLKuiKB7wjxsHvGAdZq+JovT14tqytMbhQAAI5AYOIIDpfC7BIo4DccAAVwnMx4BjT9GflgIFTrptrJdX5QxXBsxCQLnRMUwCBgBYOpa2FOOAcaBROIBGkIMt48WPAg4sAULQ1mE9gOUDeRzO9UoKmjuABOr62jru7nJgpXwrEoJ0OO9qAwJxfYZjKPUZAR0QodT6aeolAQOAHWnqWxnjgHHAONC8HGifGU7z2mNjfw0QGMuLuFgSMADAElfe0sZyoGVAgTjt9oDeK4oBAmP/GJJiAAOh80EAFgMGkjhm6caBxuDAzTffLJicMlp8E4wYMULwr8DVAtLIwxkh1gw8c4WC6xmY+PIMcU0GnxjEW5HitNuYx1fzykA1AQH/HcbNzc8vNw4wEDofZG4GDJTLWatvHDAONAwHEgYaJ8RiHm8WAgkM85IBBvgig5ckACxxPPXLtHq8JUABhFfM3v2XDSCAsOunJcWHvz5KTrppmKOkMs2ejvPBOGDAvkjQ7G/e5tfMHMBSAF8CeL7myxP4e+CTWfiDuOGGGwS/E+GdUPxD4M8CPxh8MowymMQ2M5+S5obw+nhgvg8ggLCbVKfc9Gpr8P3xMTfm6KdVOo7zwThgoJrXFyo9B2vPOGAcMA6k4UDaMgivCLF+eQABhF0/zeLJHMD5YBww8Me79kWCJK41PSgAIIBW22dAFkAAMGDdQZfJ8TcOcwRA4LfVSvEDN1ihw3TtiwQdWGIJxoGG4gB3VfFyzRct+HzWhRdeKIceeqjwSUK1EPAnxOcy+fIF1gFcOUjrd8FvoxniCK1otf25VBsQKKS5R7CmfyV/XHFxykPFyjPHagMDh+66XYch1hL86NC5JRgHjAPGgfI4UHJthNZKAgK01wxUCkMnWnPnDtX4IgH86JBhCdL0oEAICPDO01oIUBYwgFDphDZwQOOtFnLVAh8M4bzjrmaEZezZOGAcMA40EwfihNY44bbcOQM+IJTzNQE093HtIdyjcad/pZ9fekTwa6BCv4akQZSHtDxpcW2TBjBA/4yD50oTVy3i+i8EglR6DNaeccA4YBwojQOVrYXQGrZYqoUADvZorxnoy/16ChYUIW8KPXPVAh8MYZlf7rsoTLLnNg40NSiAlUDbHPP+xQm1eQW8hzirgCdff98r0XpRgAEsLfyZczXDrhH4HLG4ccA40MwciBOO44TacngAGIBQDPiAUF6oLYT7uHyEbRX6NSQNCsuTBnAQpvvPjKNa4EBc/4Ag8MEfg8WNA8YB40CncaDKHccJvXFCbZph0Bae99OUbZQyWFBk1fIDDEyy5m55U4QvWdvJa6BJH5oWFAAQCK0EBphjwYr8GWNpEfoXOPn2xyvStjViHDAOGAfqmQMAAgjH/hgRphFq/bRS4wjBCgYgFBdrp5JgBMABcynWJ/OvBjhA/1g9+P3Db//Z4sYB44BxoBYcqHUfCPEIvX6/CLMItX5a2njYVtp69V6uFC0/lhahf4FS2ql33pQ7vqYFBeIAAYTZchlm9ds5EPoXwFoAIKY9137riQN8Ru7ff/+tpyHZWIwDDcsBBGJ/8AixCLN+WqlxBGAsA9KAAfSBAF8pMIL2IOZCu8SLEbwAwChWLks+/fvl4QV88dMs3nwc+Oeff+SXX35pvonZjBqBA3UxxlCIR4hFmC1lcKYF78i1iQL/AlgLAMR0LNm6KU0JCsQJpwYIVPaPPO4aAUCMXSOoLJ9Lbe21114TnMd169ZNJptsMpl44ollhRVWcJ+bK6XN1VZbTRZaaKFU1Lt371K6aJg6v/76q7z88st548VTv/LnyCOPzMuzh+bhQJxwmmS6X8qsEbLT1AOIwEIgFKDT1E1ThnbTAgMI7ZUEBgA5wr7hCxYUacZuZRqHA3zelC+eLLXUUsLnTnFaOuuss8o666wjw4YNi53I/vvvn9uH7r777tgyzZ544IEH5nhw5513Nvt0Kzy/+mwuTjjFe36po/0rxsM+IMMka+4mSnFtax5hmB/Wr1SZYv3Qr18GYb4U0AOLi3DMADGltOWPp5niTQkKIJz6L4lrA/6zxSvDAYAWu0ZQGV5WspU333xTlllmGbnjjjvk+++/d00jyD7xxBOy4ooryqOPPurSsvy88cYb8uqrr6YiPnGXpe1GKnvjjTcKn/EDBPDH/c033+R48/HHH/tZFm8iDiCc+tMJhVc/L2s8DnCIa4M+ASIQnuPyK5UGMICzQvor1ibAQCWFdvoG+PD7Tcsfv47F65cDV155pRNs+azps88+Kz///LNg0QZQcM8998hKK60k22+/vfzxxx95kxg1alRurR09enReXqs8wCPdj7/77rtWmXb2eTZQDYRTf7ih8OrnpYn/8fYLHYoBMmB5oBQWoE/N6zLHomG2dJ2rp2g+YSXKxLVBx7Sfo0DDT36pRJtd51gir7pdIxjLjqYDBcxKYOzLrUUs7hqBWQvUgvPJfZxyyiny448/ugLbbbedvPPOO4IQ26VLF8FEk8/NucwSf6affnqZa665EglNT4lN13W1k046STbbbDPhUBoONIoiGXfccR3xiT+x/5qOA3FCKcJrpSYaAg5+uwjIWAYgpKfpk7Fy5x8Nfiisk0c6FOb5fWqc/ui3GDhAu1qnEiH9+u1UGnjw27Z4bTlw0UUXCXuTgtZYCQACLL744nkDueKKK4RPoOYl2oNxIIYDjZwUZyWA8FrOnNCm+/U7CMIPXOxnd1oc7X0pnZcjyE8UgAzwyqwF2t/COO1B8/yalUBt3yXXCMxaoLY8L9bbRx99lCvCFYI55phDNt10U1lyySVderma/AsuuEBoI4nuvfde10+z/egBNm5e/fr1k7/++svRxRfXx2YbN05LK50DodBeTEjO0lOSQK1gQFbLAB0rgnTYNnmkQ2FeoTEjpBcCB2ivUP2seVhCMH+/Xpbx+vUsXj8cQLvvA9PsTexZjzzyiDz33HPywQcfyCqrrJIb8JAhQ1xaLsEirc6Bppt/pa0E4kAGtPzFGNfFsw74K+b6QbH6cflxQn9oxdA10NwjpPtt0UaxMn75YvG49soBGYr110j5TQUKmJVA5/zpmbVA5/A9qVfuZ2rescceK3/++afcd9997sBFOlcICKtN77//vqBdVwrv4V9//fW5/KFDh3YYDnclDz74YNlkk03kkEMOkZtvvtlZOnQoOCbhs88+k3POOUf6tQnoG2+8seyzzz5y++23O5PUMUVc8Omnn+b6RRPlEr2fSy+9NJf/xRdfuBzaffrpp12cn2eeecaVefDBB3mUkSNHumfmmgSKML7rrrtOdt99d9l2223l5JNPlhde6GjiR4O33XZbrj3AiG+++UYAG/r27Su77LKLXHLJJe69Utao+hyIE0YRkqvdM4IxVO1+srTPvENhXeunsTzQsmlC+vLLATxUug+/fYtXnwPsSV9//bXraLbZZpNrrrnG+RNwCW0/WJoBPE8wwQSCddtiiy0m7777bltO/D/WR4ADLA/wT8C1hL///ju2MFfrjjjiCLf+rr/++i4cPHiwsFeFFc466yy3BnO9gTxA8FNPPVW22GILwa9B3DrPes4eAGHeD1B80003ub1o6623Fqz4vvrqK5qLpax7XmwjTZXY/JOJE+DLthKIuTrQxRP44WoomJOGsEyYRGEbSeUqkf5HClAiTZmksZi1QDxnmgoUOOm2x/Jmab4E8thRtQezFqgaa0tqeNddd5Vu3bq5ui+99JJzMLjeeus5IXK88caTvffe2+VV+4fDHXdDDzroIIE4TP3++++uW/wbbLXVVi6dvKmnntql8/Ptt9/KhhtuKBzaTjzxRAcGnHDCCQ4cwOEhQj3lfOJgOf/888tee+0lHChvueUW4VCH00P8K/AFBi2PJoo+oTPPPFOTcyEHP/KgTz75xKUfffTR4vtiQKtFPv1QAMCAZwi/A6T5dPzxx8sMM8wgW265pXCAveqqq2TAgAGCuWz//v07eN2+/PLLc7wZPny4K7fzzjsL4AmmtzvttJMsv/zy7h6u34/Fq8MBtOt+y5W0EqDdJEF3+Z4LkV2QkuoWrFQgM017tQIq6CcEIOIAmgLTsaw64wBrpw5p3333dYK/PmuIdduLL74oWBXgb8C3HNAyhP/973/d2gjQChiAAA84sMYaa8hvv/1GkRyxruMPBlCC9RcBnPDwww+XRRddVIYNG5YrS+Soo45yazBr96233iqLLLKIHHDAAQKYfdppp8naa68te+65J0Vz9OSTT7o67APME4eJWEKwF7FH4SBw4YUXdj4RcpXaIqXseW3Vmutfi86m0lYCsLGjpn0JCQX+uDLU7QwKBXTG8FcACsSVKUe7Dz+6BhYK5bTHmJuBmgYUMCuB5D/H4a+PkvUGXS4n3ZS/6SXXyJ4TZy2QvRWrUQkOIHwed9xxuabQaqOxQPDG+WCvXr1yeaVEOBCh6U4itDG0y916DmoKUJB+zDHHOEG2T58+Oa0/BysOT9SB0PagKSeOpmjNNdeUySefnEfhoLX55pu7uP5waNxmm21EHS5xP3XZZZd19/spw/x32GEHoiXTRBNNJAAq2gBxvugw/vjja1JiiHbIN5edffbZZZ555pEoigTHWgATCPxJDWy00UaClcFaa63lDsBajnljMaDPFlaHA3FCaKjBrk7PIgjFSW0zLvwG8AlDQp6TyqZJpz7t0B7+BtLUqUWZkNdYC9SiX+ujOhzOXuoPAAAQAElEQVR4++23cw0vsMACuXgYQYBnjQ3T/WcE9s8//1zWXXdd51xX8x5++GG5+uqr9VEAGBDoSWBPwVoO0HmqqaYiyYEPgAnuIfhh7cVabcIJJxTW4u7du+dKnHvuuR2+RKOZAANYknFtjz2MPYM82gNwIK6Udc/Teo0a2rjbOVANK4G4NrvO1bO9wzG/cRr2sMyYonkBgnReQsqHUPgOAYm4ZkJLhri+07QT17amhUBDue1pu40cNg0o0OhWAtUS2gEC1h10mTz5+vty/I3DBICgGn+wcdYC5nCwGpwu3iYm6gMHDuxQEGGew0mHjIwJaFTQsCTRl19+mWtx5plndpp7TcCsEqH+vffec0kcCjGjdw9tP2hacIrYFpUpp5zSmY1ipolH/169epHsPqv4wAMPuDg/WAcgXBPnygBlaQcrCYAJ0tH0aJ88ZyWsC9DyaD3iP/30k5xxxhmaFBtyrYCyZHIYxZQUU1gAkoceesh9KpI8tEh33XUX0Q4E8IApKlYX3LnlgKqFADw0bmF1OFBtK4FKjZpxIthnbQ/LAEAA6mtdBG/S9TkMkywYnnjhlbBo2c8AI6G1QKGxld2hNVA1DiDAs25qB+wPGi8l5HO7CPxo/bGo8sHV+++/P9ck1wNWWmklt6cAJLCHcbXslVdeEd0j8GugwHKuYluE63do97Ea4woba/Fss83WltP+D3C2PZb/i1UcezFrNHvY6aefnitAmj6wV2Xd87RuA4Q2xAIcqIqVQMzVgfA6QqiFjxtiKJTHlalUGgJ/GuAgLEP/cQAH6Wkovt8X01Rt2jJNAQrECZ98Lq8R3hpCOoCACu2Tbz6wYoI7gABAgM+HZeeb1X+saHzZefPbPvn2xyvavjVWnAMI/pioq2DOoUlrYarJwYb7nGjs0ab4BzQtV+kQj/18Wop2OWDdfffdRIU7owjDhC6h7QfBty1w/9DkzDLLLC6Oph7rAvfQ9kO9tsBZBzz//PNEBU0OB75JJ53UPS+44IKCKT/WBfADDb3LqOEPgr9217dvX8HXgT6vvPLKeZ61AVk0zw/RIs0555y5JLRV+sC71LiFledAnPB56K7bVbwjhPCsjcYJ5gj2aPvTtkW/WAYQhnUQxsO0Ys9x/CpWJ01+yPNSwI80/ViZ6nKA+/+V7AELMX9t5NqAtv/NN99o1K277AOsl2oxwPWC1157TaaYYopcOf+aWS6xLYLlHeBsW1QmmWQS4RobcYg2CUPCQoC9T9OT1u2se562V3+hjSgLB+KE2VB4z9Kelg213bGCdArgQNurVhg3/7CvsEyo2ad8uSb/YZvltseYGpmaAxR4a1TeO2gUXwIAAqrF9ydAGnl+WtZ4HCBwyKbtmtasbaUtHwIxw9/8QOIAm7TtWblsHEDroQeeKIoEE8U33nhDZpxxRtcQhxe09DjXO/LII2XVVVcVnC65zAw/aEs4UCURd93D5s4++2zhnqifjr8ABHc/DWdO+oxWnHubSjgA1DzADeJ+eQAEgAHSlTiIrTRGQ6RpxUI+21isTNp83w8BIEBYj7FpGhoojfthyDcf6OEd+GUtXlkOhJrvSvsSYLRJgnSoHaesTwjt1RgP/fL5Q7+vzo4zV38MgBhJfPPLWby+OICGnU+36qh0HdfnrKFvyk9d/7oBADRpSqzrWBNwlQtfLlwzW3311YV90S+jcT8sZQ0uVIexMR768PewNHsedTqdbABlc+Cv4M78JGvuVnabaa4O0EkIHJAWUlgmDlwI6yQ9p7maMFHwmcC4ttDsh+nhOMP8Ys9hm7QXghHF2mim/KYABYa/mQ8KLDNPvsa6Hl8YQjvCf9LYyCsVGKDt0EIAQGDAJtUFBZiLfZ4QLnQO4WRJzejRsnOFYPrppxdM51Ubz6EIj/46QpwgaTxtyN1ItCZJFEVRh6Y4rE033XR56b/88kveMw/q7Z84TqQwu1R6/PGxlid6mMRBE2UhzPMJsxC+FsLymH2GaaU+++ao3bp169CML+B/42m2/IJYSfjP8N9/tnj1OBAKnnHa+XJ7D4EHbS8UhDXdD9GgF/pMoF82TRyQIc3nD5PGVk1hHbDCn4NZC/jcaIx4165dBWBAR/vOO+9otEM4aNAgwcFrElhKhXBP8QEH8pV+/PFHwYpgueWWE6zJRowY4fzUoMnnmpqW06sE+qxhKWtw2jpZ9zwdU61C66c6HKiGeX5cm6H1QZzAO0kFAIlqcClOax8HTsTNKct4wjbj+s3SXiOXbRJQ4IO8d8D99ryEOnuIE9qXm282QXD3h1oKMBDXNu3WAhBg7KHDQdKMasMB34GTb96IVgSP/DoKtBTEe/bsKUsvvTTRqhO+BAAk/I6wVuA+qJ/m3zHFOz9ziiO9guBrY+K+SsDVAu5v+mahUTQWtPjjjz/87l2cA6SLVODH/zwkvgTCJn0/B3w9IcznOemgS55RdTnw+IiReR0kCcN5hTI8INhi8p+hioRABXUBBxDoIZ59SjNmBG7ABdrx68b1pfnU0bgfch3Bf65UPBxbpdq1dmrLAbz4a4/nnXeeRvNC1mu+FoC120ILLeQ+wZpXYMxDFI1dy8ckxQY4/dOrXFjIATQgjPMlAb1uRsUkUKCUNThtnax7HuOsElmzNeQAGmm/u1B49/PSxsM2Q2GXdv4KLBRIS0NptP1J7XQJPocYVy7U2MeVIW2iGIuCcoX4uDbpqxWp4UGB8KsDA3qvWLfvEc0//gPitPh3HrW9ILgjwPsTyAIMdDYgwLhDQGb4m/mADWWMqsMBvSZA6/49RZ65e4lHfuJKHEbihGLNr1SIwz8AANqLosh92ok44ATj+vXXX3l05AvGjz32mHBfVOmtt94SPsmHoP/333+78vgJwGKBB7TyeHsmDtE+1wcAPtDIqyO/mWaaiWxHeILWtkjAAaBvTkqakn9gjLMw0HJ+SN/6zKcI/XpYdZxzzjmaLUsssUQubpHO5wACuz+KOIHbzy8lngQIIHDHCcGMCaF74kVWFuJ+n5SHio3Tz6cfrgpgHeC3BRiA80Hti2c/nzh9EcYRdePSy0kLwY0QsCmnbatbOw4MGjQo9yUXQGGsAVgLdQTsSTvuuKMoOIuVme9cVctlCf19gWtrOLilPj51AAeIQ/5ewHMtKOueV5kxWSudyYHQzL9r8Gm8UsYWtkkbaQX5LoHQXq7mnb6LURw40TXgQwhy0GZa8ICyaSlsM67ftG01ermGBwUa5QUACCDg41DQHzMgAGCAphEnTZ8JqUd94klUD4CAji28QmB+BZQz1Q179+6d6+C+++4THA5ydYDP1gEIhJp6PvtHOlqTXMUUEQ5VmF0WIrxM0xR33hH8EdB57tevnwBY6CcG8Xmg3vnJx3u0+gXAq3P//v2FO5d4aCZv8ODBsvXWW4uanXJlgDLUhci78MILBW/UzJ8vEZCOMym1ngAMUe0Qjq/2228/QWOP9QEgAuXjSMdFHk4ab7nlFqEOz0nUq1cvURNXrkPwjE8GPg3JZxgBPqjLNQ+0WcSNWoMDoVDvzzoUgDXPBxGIJ4EDaP0R/hH4Q+GdZ80DDAj7YlyAAb7QTZqOQUPq0Y4++yF144AEv0wpcUAMv141+vDbt3jlOcCnBv01G2uAxRZbzDldxScOfmb4Sov2TFlAXX0uJWSf0HqXX365AERjudWnTx8X17zRo0drtGYh+5ruLWn2vMwDswp1z4G0wnvWicRZH8RdMQiF4qz9VLN8HEARBx7Elcsyro5ttuZXCBoeFDjptsfy3ns9+hNAYEew9wfKdYG7jurrrAP8dOJZgQHaj7M+oB3aqzWFXyF4KnAEWevxtEp/gALbbrutmy5OjPgcEkLuTjvtJJjQS9t/mDQCBLRF3b8XXnjBeeh3Dyl/ABfw6l+I0MDQHFcAXn/9daLSvXt34RoBQvIZZ5zh0vg599xzBb8BxKeZZhrh0016iDvzzDNlnnnmEZwXotWnDF9R8D+tePjhh7sy5H311Vey6667Cj4VEL5JQ8MPMKIWBaT5vhTOOuss5wRx3XXXdU6nuG5BmZA4uGoafONLAv61DM3zw6mnnloee+wxUesEeIfWa4MNNsjNGW/WOFGM8zngt2Xx2nIAodvvcfmeC/mPZcfD9rVBBG0Ed332w1AoJo92ENohnpVoA8GdZzT3PoDg55EPUZ8ytMezT9qOn0acdgjjiPbi0stJC8dRjT7KGZ/VTccBrAP4qoqWxmKAdZ8rA4DAmo5jXL6Uo8+lhgDEWpf1fqqppnJWaOwROBzUPPVVo8+1CEvZ85LGZemNwYHwU4RdAk19KbMI20xqI9SCdw2080n1Kp0eB06kNeNPWy7LmLvO1TOveLlXEvIaa6CHhgYF4jTQofl6Z7+LOIEdQIDrAoU+Dzhgk16pfAzEtY+lAfU7a+4hMDM8cATZWeNqhX75ssDQoUNzXxzQOSsYgOk9Wvdrr71WEELxvjxw4EAtVtHwgQceEN88/uKLL3afc6KT7bbbTtZaay2ijnbYYQcnkPOAUH///fcLJp6MmzQIx0177bWXcxTFsxJCNUL6HnvsIZTRdELuo6KVBzDhWQmnjFgVTDDBBC4JEAInVE899ZTr1yUGP6ussopg9eAnpzE3nXvuueWJJ55wlhsKDtAGTrdwfsVXI3yQgzyjzuVAnAY6FEjLGWEhYbaQoE1eEjCAMB/XLoAAmnvGG1eGuVKGPMqERH/0G6brM9YIGvdD7dNPKzdeaWCm3PFY/dI4wLqLPwEsrQBbfcCWFlkz0ehfffXVEkURSWURXxzA4oB1noZwcjvttNPKlVdembdHARKQX2vKuueJSK2HaP1ViANxGu1yNfVxbU4S4zwwrlwoDDPNONP+LmUAF+XML61wHjdm5pKWyplf2j4aoVxjgwJv5X91oN78CRTyH5DmjwPBHgHfL4vFgV4liAMEkqwP/DaqHQ+BmeFvml+BavPcb3/77bcXzObxzI+Qy/UADkGAAerkaYstthDSr7nmGkGT7tePi9Me9z7TEn4AABywWNA6CNV+21wj0DysANDeaD6f72N83CsdMWKEYHrPXX+0PAjTWk5D7p0CQFAex4R82unLL7+Ul19+WTDT13Ia4sH/qquuEsxFARTwR4DgzrjR2uu4Fl10Ua0iABQcImkXM0/qcKilAFovrUN90nzCSgJef/TRR/L+++8LQADWFFzz8L1xax2ufWh7vCtNJ+QahOb5X2Qgz6gyHAi/CID2vjItF26lWD8AE5j8J5VDsEfA116IPz5ipCDYax3KKHgAIBBeFdC61EHgpz9NiwsZE2Xj8mg/Lr3UNPry6zI3/9nijcUBPjcLUM1ayHo/om2tZ9/CfwzAMWtuOCOuFuj6B7Dr5yetjYABWCJ88803Qh+swVxxA+TFuk7b89du1ndNx7rN74drbJqH1YPm7bPPPqLpAM+aTsieo3mE4b6bvOedJeGeh4NE2oDgE+0bNQYH/gocJmlOvgAAEABJREFU/cUJ79WaSdh3ln7ihPO49uIsAOL8HYQWC0ljiStXDsiQ1E/YZly/SXWbKb2hQYHhdaqBRmiffPOBUsx/QJo/pCRgIA5wABAoZH2Qpr9KlTG/ApXiZOntcG8fR3do3MNDBa2itfY/x0RavRF3LXv27CnzzTefEC82Pg5aCPZcAZh66qmLFRc0VAj+WBsULTymAO3iFBBLizFJmQIAAu7NckjMVNEK14wDlRZm0w58+ZRXFNDc4zcgThh/vA0EYPwQcfpGsKeODwyQHoIfpEG0S51QCCcvjtKWi6ubNY2x+XWYp/9s8cbjAEI7+1TPtrWefataM+CqAH2wBlerj7LabavMPscY0+55bVXsn3GgAwdC4RzBPO6KQVgOa4LYcu8+l9dHoXL0lVc44SEsFwcyUHX0ubsR5Cisl8soM9I1uErBHMtssuGqNzQoEHI7NFsP82vxjPYebX7YFwI7An6YnuaZeqHFQAg40H69AAJxczK/AnFcsTTjgHGgETiwfEphvdy5JAnpYbsIwmoFEOYhNCOkQ8TJpyx1sBLgWcGBpHkBJqg1AeWLkbZbrFw18tPyrBp9W5vGgVI5YPVakwOhEN6lDLN85WCo5SYdTfeX+/UUBGiE6jhBP67c6HN3JjmW/PYKlaMv+oSow3Ncg6RTJusYqRfXXrlpXQO/AkkgRbn91HP9hgYFhgdm6aHZeq0ZDyAQOvzDf8B31w+UcgX2OGBA55cECDAeLBbiCGsGrV+N8MANVqhGs9amccA4YByoOgcQiv1OELD953LjScJ4MeEawR4Bv5DJPxp+HR9xgAHmQx3SAQSwGiDOvHgmHhJjwfFgMXCgUD7th+2W+6xjL7cdq28cqBEHrBvjQCIH4gT6xMIFMroGWm4tigANQKDPSWGly9EnlNSfplOmEn3HfWlB+0gbdgkAmhDASdtOI5draFCg3hmPdh+HgpUaZxwwkAQI0GcIUJCmdMKNwzRak3B4nV71qMnkrRPjgHHAOOBxoJCwjNDvFc2LIoAj4Ocltj0g+Cfd/1dgoK2YAACEQjXPXEUgjzIhAQ7Qb5iuz+Rr3A+T2vPLVCIOUFKJdqwN40D5HLAWjAOFOYAQXLhEabkTrZms4S+txcapNUmMU8XGGX19jdRAgQq+j2Xnm02wDKBJAAGEeOJJhLYebX5IpCfVoU3app9CgEBSfUs3DhgHjAPGgc7nQJLQjNCfJOiSF45cwYAQaPDbABhA8AcAoD55EHEl8igTN66wrNYpBBbQnpaz0DjQdBywCRkH6ogDWBx02+OioiPqOscSQrk0gnTacrQFFeucvikHFSpLuSx9V8JKoNB4WimvYUGB8HOEoWO7zniJXBHAMoDrAgjvhcYAEIDvAbT5IZFeqC5t0w/9FSpnecYB44BxwDiQjQOhAIwWPlsL6UojNCe1nSRs+wI7cYT4ODAAawOuC0y8yMoSzoe2yYOIh6NlXLRL+5oX9qHpnW0loOOw0DhQTQ5Y28aBanAA4beS7QIMTHPaC4LQndR2tz2GCOUQpOPKUQ+inULlGDflEN5pC6IObZLnE+VIp2/KQTyTnlTO79svo3Hqat+aVm5In+W20ej1GxYUaHTGN/v4Q/8OwwP/D80+f5ufccA4YBwoxgEE8LgyWASEwjzlKI9lAEI7cdKUKK9gAPU1PRT8fUGeOMBBWIa6tE8/9EecNJ/i6mh+XHnNKzcMAQp/ruW2bfVbngPGAONA1ThQK2/2CN0I4AjOhSaj5RDmEbDbwyFCXb+eX669zEXSHrYDDGFZ8iC/TdoIy9FPsXJdgnv+tAGgQN1qC/HVuurBHOqVmgYUWHbeWeuVxzYu44BxwDhgHGhQDoRCaCWnQdtZrQWoE44BAR3Nf6kCciFwIK4/+qcOYUi+hUGYZ8/GgfrhgI3EONC5HAi93XfmaLII2GnLVrpcZ/KnVfpuWFDAPnHXKn+iNk/jgHHAOFA7DtT6E3flaNUBA9D0JwnoWblGO7SH1UGhukn5ABzlzKdQn34e/fjPFjcOFOSAZRoH6oADrfiJuzpge6YhdJ1jiUzlm61ww4ICzfYimnE+oZ+H0A9EM87Z5mQcMA4YB7JwAE18nJBbTOsPIIAQn6WvtGWxOkgS/Au1wVwK5Vcrr5SxVmss1m7ncsB6Nw4YB9JxgOsMlaK4HktpO66dzkxjDp3Zf637NlCg1hy3/owDxgHjgHHAOFAFDgAu4AMgbdOUL8Xcv9bWFGnnY+VaigM2WeOAcaAMDow+d2epHO2WN5Iv9+tZUtvUazVBPI9xnfxgoEAnv4Bm7j50Lhg6H2zmudvcjAPGAeNANTmwfM+Fcs0j3AMG8OnBrNp6zP1xKOiDA7SXtZ3cYGoQCa0o6nmsNWBHC3RhUzQOGAcqyYFfHri4ks1JJZ3ydeY1i3Aeaf0iVJSZndhYw4ICy8yT71hw+JujOpGNInxicL1Bl8vkmw/sQMNfr8zYktqn706dvHVuHDAOGAeahAO+sM2UOtM0vVDfCMII86WCAczNJwUHtD0/L2085F3aelbOOJDjgEWMA03KgS6BJ/0/3n6hLmbadY4l3GcM8eqflahbbBJp2yzWjuVXnwMNCwpUnzXZenjiv6Pkydffj610wo3DYtOzJAIsJLV/fFv75Gdpz8oaB4wDxgHjQH1wAAG/1JGUUzeuzzTtFQIr4tq0NONAHAcszThgHOh8DvAVBD4ZWAoVGz2gQZp2uwSASbF2Lb86HDBQoDp8bflWQ6eCodPBlmeQMcA4YBwwDozhQJKGHYd/OBQcUyx1gPm/Fi4k5BfK0/phyHhC830tU0p7WjdtGAIS/lzTtmHlas4B69A4YBwwDtQ1B0JfBl3naL0vETQsKGD30+v6/y0bnHHAOGAcaEgO1EKwDRlTqE++MMBnAhHGw3pJz9oeAnMIOKjvgLi8pPYQxNfaeT9hHIwnrhztxaVbWqtxwOZrHDAOxHEgvJ8e3l+Pq2NpxoFacqBhQYGQScPf/CBMsudO5MBTb+X7UVh23nwfEJ04NOvaOGAcMA6k5kCSVjx1AykLFhOqEcYRytOAA+ofIM7xYKG8cKgKBmCxUIwPCkSEbVT7ubP6rfa8GqJ9G6RxwDhgHGhSDnCtokmnljitpgEFEmdoGcYB44BxwDhgHKhzDiCspxliFnAgTXtJZQAf0oAB1Mf6IO34KV8O2ecQy+Fe6XWtpnHAOFA+B1rRJL18rtWmhc786kFtZli8l4YGBcJ76uE99uLTtxLGAeOAccA4YBzI50CotUdjnl+i8k9ovPH8n7ZlwAEE97Tls5SjXdpPUwde1QoQSDMeK1M2B6wB44BxoEYcCO+x16hb68Y4EMuBhgYFYmdkiXXJgfATknU5SBuUccA4YBzoRA4ADPCZQTTvaYaB4F5pwCILIMA4uaKQZqxWph45YGMyDhgHjAPGAeNAOwcaGhQI76mffPvj7bOy307nwEm3PZY3BnMM2c6Op556SvbZZ59YGjBggAwePFjuuusu+fPPP9sr2G9dc+Crr75y7/LKK6+syjh/+umnXLvV7ivXkUUE4dxnA4Ky/1ztOJp3BG6oWF+Y+FcKGGCeAA2F+sQygHEBXjDOQmWrkReOrzPGUI15FWvz/vvvd2sN+8e9995bsPibb76ZK/vkk0+2l63Sb7XWpSuuuMLN4euvv67SyIs366+/xUtXr0Q4jqefftrx5plnnqlep9ZyVTgQ3lP/5b6LqtKPNZqdAz/dNySvEp9SzEtogYeGBgVM+1yff6F2jSP5vbz22mty1llnxdLJJ58shx9+uKy33nqyxhpryHfffZfckOXUBQdGjx7t3uUDDzxQ0fF8+eWXstlmm8mFF16Ya7dafeU6sEiOA6HH/lxGDSMIuxDCN4J4oa4R5uPyAQvI48sBEHGI9LA86aHAHZYBDMAygHGFebV4jht3Lfqthz6ee+45t9awfwAeFxrTxRdfnCv76quvFipadl611iVAEOb6/ffflz3GUhq47rrrZJFFFimlakXrxI1DzxH//e9/K9qXNVZ9DnSZY9Hqd2I9ZOaAXeNoZ1ljgwKBR3u+QGACafuL7czf8MsDA3qv2JnDqcu+999/f/n555/zCEHwsccek+WWW04effRR2W677epy7Dao6nPg8ccflxtvvDGvoymnnFKOPvpo2XjjjfPS7aHyHAgtBfC8X88CKePTLxMg/EM8Y0WAoE8+RBwinXzKAQYQkl6Mk53Ng9DJICBFsTE3W/74448vWJx9/PHHTK0D/fvvv3L99ddLFEUd8qqRUK11aZNNNnHr3RRTTFGNYRdt89hjj5UvvviiaLlqF4gbx2KLLeZ407Nnz2p3b+1XmANxnyU0gbTCTC6hudDJ4CRr7lZCK41fpaFBAdgfOhskzahzOTD8zfzPEXbuaOqz9/HGG08mmmiiPJp66qllhRVWkEsuucQd6B5++GH57bffxP4zDsABDsdHHHGE9O7dm0ejKnOgmHa+yt3nNY9An5eQ8IBgT1kooUheMuW0Tl5GwgPlOxMY6My+E1hSw+T2rrAiQ/C/6aab2hOC3+HDhwuAAeBykFWVx2qtSxtuuKGw3k0++eRVGXcjN4oFA7zp0aNHI0+jZcfedY4lWnbu9TrxP95+oV6HVtNxNTwocOAGK+QxzPwK5LGjUx6Gv/lBXr8HBO8oL9MeOnBg7rnnlvnmm09+/fVXeeONN/LyMaU84YQTnGk5h8MDDzxQMCX0C11zzTWCJcJ7773nJ7v433//Lfgu4KqCS2j7IQ0gYvfdd5dVVllFEDrj2sWSgXbRYr/77rty1FFHuWsOe+21l2Dh0NaUG/MZZ5whG2ywgaMhQ4bIP//8Q5Yj7kLSxqhRo+Tuu++WnXbaSdZZZx0588wzJW68rlLwo2188skn8sQTT7i7lfDiyCOPlLffftuVHtXWPuNbbbXVZMstt5QHH3zQpYc/9913nxxwwAGy7rrryuqrry577LGH8+kQluMANnToUHnrrbdk6623lr59+8pDDz0UFss9c9eTeWLm+9dff+XS07y/q6++Wi6//HJX54477si9S+7u0ibv12W2/eDL4NBDD22Lidxwww2On8x533337fC34wq1/cCj008/3fF9hx12kDvvvFPgJW0PGzasrYT9gwOhiTwaddJrTWG/tQQr6CvLFxGqzRtACb+P8B35eQ0dLzD4tddeWyaZZJIOlkRaBXPzySabTNZaay1NygvTrPdcXWNdhFiz/AZefvlltyaxzpOetC4ddthhZAvr2fbbby/rr7++nHbaafLDDz+4dNZx/COsvPLKsssuu+TWbpfZ9kM91qRvvvmm7UkcWM5zErH+u4Jjfhh3sb1yTNG8AB8G9PH55587UJ44+xiF8M/A82effSbMn3dx4oknyrfffku2pOGtKzjm5/XXX3c8gTdcGxw0aFDu2mChcej+8uyzz45pqT34448/5Nxzz5WtttpK4Ct7Og7+wf4AABAASURBVHtIe+7Y31L2jbG182O0zz6+0korOevG8847r4NPJN41fAOs0rGvuuqqsvPOO0sx/xj5vTXH00Rr7pw3EfMrkMeOTnn4493n8vptRX8CMKDhQQEm4VMokPp5Fq8+B04JnD2aJUd2nn/44YdOoBtnnHFkjjnmyDUwYsQIWWihhQQh8J133pHff/9dzj//fMGU0L97Pu6447qDBvdKc5XHRLj7DiDAgYMkDjdLL720EyY5TCLAPvLII3LKKafIoosumrdhc/DhUAeAQB0ESxxanXPOOU6gxrKBgygC6f/+9z9Xl0PJIYccQleOOFDSBgdGDkII2cyTOS244ILyyiuvuHKFfrSNU089VTiIoDF7/vnn5ZhjjnEgBQeQZZddVjgQwkvmhcDvHz7QtHE9g/FyiOIQzP1MDjQczgAB/DGQziEVsAOhHIAAXvplNM6hh/44eAE2dOnSxWWlfX/w4KWXXnJ1AIUYN7zn7i6849lltv0ArHDvdr/99pPNN9/cAS2ARBxY+btAa9hWLPePsS2wwAJy8MEHC+1xT5n3ABhC2/BR7L9YDjw+YmRseq0TEYRrIagDCOA/IJxfCFKE+dV6DvtlfNXqq5btZu1rwgkndAI26xxCll8foZRrRxtttJFwzcDPI552vUc7j4DJGoswR13ol19+cesMIK6arrOOsHaE69LZZ58t/fr1k2222UZYdwBgaQuA4Oabb5YVV1zRAQbsARdddJHbx3xz/XvuucftY7RP34DRrOU+3XrrrcI6S/+sy5SDRqTcKykbEnNkLjj3g5/EVfhmXaYvwF72OfIAn6MokrS81f4Aqnv06OH8CLH/4Pth4MCBAl+xECw0DsoyDtZ6bY/+Wdv33HNP4W+DdK6RsGdtscUWeYJ61n2DtkIC7O/du7cD/2+77TZn3cg7Yi9Zcsklhb1X6+iezd8E751zy0cffSScUQBWOEto2VYMQ4G0FXnQmXP+5YGL87pvZUuOhgcF8GofCp7mVyDv77tTH5YN/D506mDqqHMOOmjbldDePvbYY86xHBsqGy6b6//93/+5UfM1gm233daZheKA6cUXX5Rhw4Y57cr8888vHAQQxCnMRs2hjkMSwi9pShygiPfp04dA2IwRBAe2HUbQyDAGAIOTTjrJHSI4FLqC3g9eoTfddFOh/AcffCCAAhwgQf45sAIUIMyiBUFjRX44DsYGoelHU82hi7qYjMIbr7vEKIIvGnW03BCHz/fff1+WWWYZZx1AGgdODsk0gvBMCHGYgxcI7/SH8Ex5xhNFkeMLoAtllbAM4P4sB0MOP1hIaJ6G8HLNNdeUiSeeWPALsfDCC7usLO8PzRNzo+JBBx0k8BEBn+c4wjcFB2XmhJDA4fD4448XDpW8R63DgRt/BMzhhRdeEObMoZK6vAMtZ2E7B/ArEAqenWG+jnl/+4jafxkXVE1ggHkrIEBfPLf3LvJ4nYAjjEvH1CBhxYYJAMiaCiDqN8qag0UX1lF+usazrPesHVisAQIjwNJG//79nbUUgvDyyy9PUiL9+OOPznoJAZZ1GCGRvQoBEk027bLmQux1WBAAtiY16K/11IEQfllr2TvYT6ibZa2lfEizzDKLW3PnnHNOt46z/objAiTGegBwnrWT/TYLb+EJa/Hss88ugNHsO+xdCPqEtJVmHP7Y0bpzjqAubQDuI3jjmwFwQPcUrZN239DyYcjZ4PbbbxcAB/qhP84D/N2wR+62225hFadsYB9mL+JvgjNM165d5bjjjnPnjQ4VmjQBvwKh4PnHuy922mwxnaf/UqjTBl3FjrvO1bOKrdd30w0PCsSx164QxHGlNmkdPkU4z6y16bjBegEp59ChxJWBXr16ya677urMB9Guo63XaaGlRtgGVcc8XNOnm246QevOQQhBkHQ0RBy6MKHH3JE0iEMaBzJAh//85z8kyTTTTCOYkCN8RlG7Yyo2aTQ8hGz2rqD3M+200zpzf/wiRFEkgBVYJ1CEg9I888xDVJjb4osv7oRTBFWXOOYH4Z+D7ZhHQcPBlQWuEKBR0vRCIW1gyk8ZDoUcTojPNttsgmA91VRT8egc8zEXABiX0PYDvwBGOEDBr7Yk9497uEsttZRzAIl23iV6P8wP7Q4H4plnntnLEUHQBmTAtBdwhQOwFsjy/rROlhDTWcAIfQ9o5LDA4MCp7SBAfPrppzJo0CDHb03nPfD3os8WJnMg1FYnl6xMTtif71gPoZgvE/hp5faK8A/YoIBAUnt1AY70XChpeHWQXt0hcF0KwJUrQ35PAHys6ZiO++kaJy/tej/BBBM4TT5rJ/sBgiUaffYp9hxts1DorzXsVVhmUR7Qgn1D116eSffXaJ4LEaAnVl3scwDVSyzRfk+72mstYwJ4hydY8ul+nIW31157rbAfs8ezX9FmFEWy9957C/sa4C6gD+lpCIsvtP/sP/3bgButg98itPH4fcBJLZaAmkeYZt+gXEiMjXfLHouVIvuvlmEf5xoilh6A/ZpOiDKBMw57JM9YDXAeQREBUEBaq1JnXiHAUmH0uTtLKUTdRn9n4acIu7TwFyKaAhQI/QrU2x/o8vN3FIyXnW+2qg9zuQJ9xI2p3AGFVwdoD0sOQqN8DiB4YsKNMI6J/ayztv+NoD1ggwQ55zCmtUaOHOmiCJpstj6xQSMAon1whdp+uPPeFshVV11F4AiTTfwUaB6J3BlFY8MBEM04mmPKseGTT3lCn+aaay5Rk3jSsWaYfvrpZdJJJ5Xu3buTlCMABB44wBEqYdKocQ31IIuWQdMKhWix/Px5553XPcIj+OEe2n6iKJKpp57agRNtj+4f/V922WXOdwNWGYARaNrx9MyBjELh3Jlz2CflICwjOBxidQAgAchDulLW96f10oY9evTIKwpgwzvBBFYzsC4hzsGR0CfAJv/Z4u0cwFS/Pdb+29la8uVjBGHGCDiAMK/EczGwgLKUI1QCDABsaJ/t2F/6GPskEoIVfl414nH9xY2zGn0XbbMTCiBMI5hilq/ALdZat9xyi/M3o+BgOLSs6z3rCmsi6yOCO0IgQre/voZ9+M/heqlrNFfF/HJJ+4Rfxo+zZjMeLLPYK9GGa36111r6UQsw4kpZeMseF0WRsGdofULeG++QK21R1A7Sk16MFPxlXwvLAh5xzY69AAsCP5/36z/H7Rt+vsaxCMDSgHbZ9zVdQ/42iXMVjlAp7I90LCIIGR9hq9BEgV+BWgvXrSz4+n9j4dUB8rDkIGxFagpQIBQ88StQ6ysEB2/aSw5pIwTxkOIAgGXnmzWx/F1H9e3wt1ioPP2SH1ZC8CcvHA/PAzbpFRav+PMA+xRhIk/RtqDZ5947BwCESszvEcgxpQwrYqZIGgInjvl84kDEIcnXsvTs2dP5H8B0nsMidTGXB9FXjTppaMwxWUSQxgyTwxrtoVUGbIAo55Nu4n4acUX/iStFUfzBJq6NGWaYwVXDXNNFivzEtUGVuENKFHUcB1YTaPwZNxofBGNMIhUMCOc+44wz5oEh9KWElQD8AzjAH0F4wMn6/rTdtCFaqrAsoBJ/F5quoBFggaZpyNw0buFYDsQJnrXUksddHRg7uvwYY1XKz2l/CkECFbS1DmF7yY6/5GFFoDmdDY6Ec9FxVTusp/ax8GGNYq1mXFwr4266v76T7lMp6z3+ShDa6QsrA12n/XaT4mnX6CjquD4ntUk6DgpxcMd4ANdJU6r2Wks/CuITV8rCW4RlABbAHa1fTsi1AeqH1mukQZoOuMOzUpp9Q8v6YaX7o21/r+K52QnBs+scS+RNE/P9vIQqPtD/JGvuJoyhEtRtj4uqONraNQ1Patdb/fXUFKAAbA0F0FpfIUAoR9C+86jtJSTyGGNIlSpPO2HbPJMOhePhmfxKElYC4dUB++pAeg4jrAMIcNjAFJJ7eX5tFXQpg9OeOOJeol8HiwAOiVgVoE3i/h6miWgOtBz3EDE15xmzP7QUgAtoApIOLAi+lC+H0DKE9RkraUkHSfJ8KmccWAnAC+41co0AnsNTPGljzuj3o/FC/XXv3l2eeuopwfIDbQyh1iMs5f1RLy1FUcdDNYd4vz4mpDxjiULoE/4h/GeLj+VAKICqMD22RHViYT/hOIr1GgIKaPsrKdjXChyBD3FzKTb/MvPrvjogMv9PA/wyWMz72T/wqcJzHJWy3uMcDtNu1j/8w7BmxrUdl0aduPRy0gCxGQdaaq7hhW1Ve62lv7h5ZeEtQDTXB2irEtStWzfXDF9ccJHgR/dWgGs/K4qK7xt+eY3Xuj/tt9nCrsHd9VpfIcDDfrc9hkglCJCh0d4PVgLh1QF40mjzqOR4mwYUCAXQzrAWqOSLafS2QpCm0edTi/Fjho8zJUwz8SnAPUHtV83REab5AoFP3OHH0kAtArQOjvcwB+TQyN1TkHiAAs3HIRX9cR0ATTeWCwjKOD/i7jnabrwva/lKhnEHSzWBxMqhkn3FtcUXGKIocoI8TqO43wpPOeypw8Ysc8cXAdoYrAQwkcX3AI6XtO9S3p/WrVSofiRGjBjRocm4tA6FWjQBYdqf+uMjRkqtBGK/3+Vjrg74+X4cQdp/TgIUsswj5EPYh99fNeNJcym9z8asydrOVwa4QgCQi+Yc64Eo6ijoMcNS1nuuk7EX4R+GO+tYUbGvoBWnzVoToDhm+ux5xOFBOIbOWGuz8hZ+8oUBnC+G4+fzjFwrAIgJ85Ke2cPJU2sw4j5puvov8PNKide6v1LG2Ah1QgGUKwS1tBZoBB7VcoytbiUAr5sGFGAyoSBaa2sBxtCKZFYClXvrON7BxwAC/E477ZTzyMvhj/uG3J/kMOH3iCdoTEa5E++nY56IIyYOc3hmRgOv9/Ypp3fn0azgU4A0JczoiVfr8Iemx58H/SCoY/KOST99V5OYOwdK1XhoX1wp4IDNM2MizEJYV+DYiTo77rijAKwQz/r+4AP1tD7xcglv0PwN8aUJPH1re5jbcoVFny3syIFQEK2FQBxqxzHh7ziydCkKKJQj2NN/JS0N0owcPod8COeQpp1cmSaLAAJgEYTTOzTP3LNPmiJrHnlp13tAZhy5EmJZhS8SvnIzog1UZA2hrVoSXxoAkJh66qmFPQ2P/3H9Z11r49ogjTUYXzjsxTwXoqy8BXynPaweCJUwy8fHD2syVzZITzMOrCbY7y+44AL5/PPPqZYjvo6APxn8GFXqmhi8x5kgiovw3IFCAYeUWD9yJS83EIvEciAURGttLRA7qBZIBHwxK4GOL7qpQAGzFuj4gjsjJQRnOmMMjdwngv9MM80koPsIyswFx0b4GuALBHye7tJLLxW+0YzJIh6M0XIPGDCAonmEZQAmhRwK+D40VghaAD8C3A8lj8/rodnGBBVP9JiMIjDjOC+LxlzbLhZyPQHtOmAFVgwcMLBW4FCjWohibZSTjyaGwy4WAvCR+7jcTeWQzSf7aLtUk/pll11WAHaIvPEXAAAQAElEQVSYI1cyaCvr+9MDIfzAmzQaO9oph9CgHX744YKTK8ZDu/z99OzZUxQU8v8+yumr2eqGgujjVbYWQBj2eRiCEn5eXDwUpBHoKUdYScE+i6UB/ZdLWfhQbl+NUB9hECH5oYceEiyU4hy56Tyyrvd8YYC77+wNrNW0gzUZlmT4thk+fDhJNSEAj/XXX18Akpkz1724osWe5xNrLmtbKXtlOBHWYPY+fOwoSB6W0eesvMUXAuvumWeeKYDHWHmw7/N1BkAIv78042Cv5sohez3nA6zfENaxXGP8XG9jb9fxViLk04LsGwAcKCboD3CZLw6xt952220CeFCJvpq5DbMW6Jy3+1fwCcgQnOmcUXV+r00FCsDOZeftTpCjUqwF1ht0uUy++UBZd9BluXb8CHnNSifdNMyfaqp46EtgGfsMYSq+JRVCk8OmTv4xxxwjas7Od4bZdNEEcJBAI4JWGusCPkWF5ps6PnHImG666SSKIgEU8PPQaiMQY1aO5h7BHEAApB+ggIMLnzB6+OGH/WoVifN5JDQJaKIQxLnnziGD+/0V6aBII5j3wxs+fwgf+ZwfDru4aoGmhurkEZZCHJ6xzECoV/5leX8crOAFPg44OA4bNqyUYXSoM3DgQPdFCu4e8+1ttG8AF4MHD3Zl+dtzEfvpwAFfmCYzFNxJqxYtX4WrAzrWLIJ9CI5UmwchuKFjDsKWfcTyB6EPBhSyEiA/y3r/6KOPCoIpZu4Iq9SHuJPOnoPgCqCKsE56tYl+2CPoB+GW/QMhGNDcJ3znUCbLWkv5OOILPIDm7JGs53FlNC0Lb6kD+AqP2cf5QhBfDQCE4XoGnytkT6IclHYcKADuuusu4RwAKIKWHnCfz1cC+LMf0V6liC9LADADQnBOoT+cUgIa3X777YJlSaX6avZ2QoHUrAWq/8ZDK4Hq99gYPTQdKBB+njCrbwGE4idff78x3l4VRnn8jcNk+OujUrfM1QG/MFYC4dcg/PxWj3NfEHPPYocMzP4pxyEBDS98i6LIaaA5HH3yySeCZv2bb74RhE4Ee8qExKHxs88+Ew5xeNgP8/m2M1poNCwAARy+EEAXWGABdyhkDLq5o4niGT8EYTscxgATwnS+eEAdDpd+HmaMOEbk3iQekfniABopv0xSHFNZ2uQQ5JdhfqRjfeCnE2d8auLJM16XccBI/yNGjBCEb0w20UYp7/3DMHwmn7o+YdVAn8zTT0e4HjVqlOM7YAt5UZT+/XFoxGSX98H745AX1xdgEP3H3RXF4SF3XekbUlNYgBjeMVYgvHusB/Q6AY7LKGvUkQOhQPx4Fa0FQmEYDX/HEaVLCQGFcB5ZBHvG4YMj8CDdKLKXCseFlcChu26XvaEmqYHWl//Xt9sunwcAyKQfeeSReTNFQCOda0OakXa9RxvPnoE5+0QTTaTVXah5rNusc1nWJYRgxsQ+6Bob86NrNwLymCTh04eUJQ/hnHgx0qtnUZR+rdX+whBesc+yR+jdf/YoxsA1hrjyrKdp9lLqwjsAFq6IYRUIP9mntthiC7JzFDcOLLwYB/zMFWyL8FUiXfex8mDfwgoh3B+y7BttzSb+40zw5JNPCvvUyJEjBYeG7OsAEX6lpD2bMuxzzAWQgedWpC5zLJo3bfMtkMeOij/gYNBvFFAmtNjw81sp3nSgAAJpOdYCCMWt9AcQN9fhKUERAIHQSiCuPUurPAc4JC266KJSCSEOARTN8SKLLCLhAbDyI89vEeF8ttlmy0+s4RP99+zZU7iPWcNuJe37QwOllh7ljo9rGrxfrE38tjDJxaKBtKWXXprAKIYDoUBMkTV33o+gohQnDGfpoBigEM6jXME+i6VB2nnAg8HnD01b3Mpl4EBnrvcZhlmxomnX2qQO2SNYN5Py/fRSeItmHxCefZD6fnt+PMs4uFKy4IILCkoBv41qxbEg4dpGWj5VaxyN2i6e+7vOkf95wtHn7tyo06nrcQMImJVA8itqOlCAqcZZC2x44pVkFaXl5us8AaXo4OqsQAgIYCUQ+nWosyHbcIwDLcuBXr16OdNSNI6Yqj7wwAPCNQq0S3wNAi/jWHC0LINSTDzUslNlrSoAA7SrtHwVrw5oH1kE+5AHCPDaTqlhWC8ENlrdSiDkjz0bB4wDzcWBidbsCAKMPne3ik+SNmtBOnCsHtL051+ZQGjXOn66tllOSNt+/UnW3E3MSmAsR5oSFMBaYEDvFcfOsi3GNQI0223Rgv8O3rSXHNJGBQs1cSZzH7BJr6IzjOOlAQJF2WYFjAOdxgGcTeH8CcsDrkZg4olDRK5FcG+VtE4bXIN0jJYdAdUfLpr2SgrGoUBMn/SH4A4AMfEiKwuUps8kQCGNYE/79AMRZwwQ4ynjCgFNFCS/Ly0YjlfTLTQOGAeMA83AAawFEFD9uSBQo9n208qN02YtyB9n2v6S6vjp5cTjeGmAQD5HmxIUYIoIqOE1AjTbT71Z+L78svPNKgjF310/UO46qi9NdSDympWYe4cJBwkAAvDSTw5BGD/P4sYB5cBOO+3kPtOHkypNs7B2HMC/wX//+1/hs4uPP/64cGcW3wfhfeTajajxekJA9YViZoAgj9BOvBwKBWIACNoFDOCqAgCEth/XJ2maT4gATxgS6f4c/HYpyzj8togrOEAeZXxijP5zezz7L23Tl18THvjPFjcOGAeMA83IAQTU8BoBmm0+n9eM863lnAAE4KXfZwjC+HmtGm9aUIAXGl4jIK2UrxFQz6idA4AqcYAAIEx7Cfs1DiRzoEuXLsL9Q8LkUpZTTQ5EUSR4iMYpF/dtq9lXs7Z970WndZgaAm2HxDITEJBDMMBv0u/Tj1MmqzDtC/Z+nLaUGA/UAUS44AotUnJIn7TtN8AcAGH8NIsbB4wDxoFm5UC3PYZ0mFqpJvQTxVxJ6NB4AyYAnmQZNqBKHCCQtZ0sfTZq2aYGBbhGcNtB+Z56014j4IViNRD6GMC8nrxWpThQxQCBVv1rsHkbB1qXA/cFwACCciiYZ+VOKBQXq1+oz6SrA9pmKGzr2AlpV8uFYdxz1vJxbdBvmB6OMcy3Z+OAccA40Gwc6LbHRXlTwvweTXdeYoqHuCsJKarVbRGsKELepBlsHKhigEA855oaFGDKAAOhaTuabjTe5BejO4/a3vkYABzgOsGAFPfti7XZqPlcGwBU8ccf8tbPs7hxwDhgHGhWDmCCjybbnx9CPRpvPy1tvFg9zP3pLwQj6JM+NCQOMT7CJCKfNjVfBXuvHZdFn5B7KPBTbPwFqgqAgPav5dL0qWUtNA4YB4wDzcKBOGEeTTca76xzRPid5rQXpBkIKwp4k4UHgCmAKn6dSdbczX+0uMeBpgcFmCua7NC/QO8Tr5C0wABAAOAAlgO014oEIACY4s99QO8VBd76aRY3DhgHjAOtwgE02b5gzbwx9y9HQKYNn2gfIIArC/QXCvOUxecAoVJ2gbq9Zlw79An9/NIjQrtQe+nK/AIIxAER9FmZHqwV44BxwDjQWBxAmEcz7o+azxSWAgz4bbRSHEAAMMWfM4AAvPXTLD6WAy0BCjDdOP8CWYAB2mhVigMEAFkMEGicv4iffvqpqoOtdvvVGvznn38u++yzj1xzzTXV6qKq7V5yySVu/D/88ENV+7HGkzkQJ7yWAgwg7PsCtw8GkOePIOwz1LL7ZTvEvYRi7YRXECgPAVL4YyUejtHrJjEaBwgwb/pIrGQZqTjw2Wefyemnny577rmnnHXWWfLSSy/F1jvkkEPcGsI6qLTvvvsKzkfPOOMMefPNN2PrlZt40UUXuX5//PHHspqK23uuvfZa2XLLLWWZZZaR/fffv6z2m6ny4YcfLgMHDkw1paefftq9n2eeeSZX/qCDDhL7Sk2OHVWPTBTjE8CAgXRsjwMEAFkMECjMv5YBBeKuEcCauDvypBu1cyAOECAnDmQh3ai+OPD3338LB4G+feO/pFHuaL/88kvZbLPN5MILLyy3qU6p/80337gD80MPPdQp/Zfb6d133+3G//PPP5fblNUvkQMIwwjFYXUE3jCt2DPCMAI3WnksA2g7rg7pcX1qWdohXoxoJ6kM7Sflk04fjJPxEk9qJykd/oQWApQtpS3qGY3lwC233CJzzz237LfffnL11Vc74W7RRRcVhLqxpdpjF1xwgVtDAA6UzmgDA4455hgBHPjPf/4j6667rvzxxx/tFSr0e+edd7p+f/nll5JaTNp7br75Ztlqq63kuuuuk08//VTKBR1KGlydVrr44ovlsssuSzW61157zb0fvlajFYYMGSJXXnmlPlpYZQ5gKj9JjKl73B35Kg+loZqPAwSYwEQxIAvpRmM50DKgAFNGs43JO3El7shveKItcsoPP0wCBHDeCMjil7V4fXLgu+++k8GDB8vvv/9elQHyWbsbb7yxKm1bo8aBRuEAgixCtD9etPeY42e9SoDA7beTFKdPLy8XDceRy0iIoJmPy0pqPyybdrx+vSRAAIChlPb8tls9/t5778m2224rXbt2FQTvr776St5++21Zb7315KSTTpKzzz47lkVvvfWW+PTqq686wZovlAA+AjDEVuykxKS95/bbb3cjwlrggw8+aFjA2k2iE38WW2wxOfroo6Vnz56dOArrGs32JAEwwB350efuJn+8+6IxKOBAEiCAg0JAlqC4PQYcaClQgLknAQPT9D0mtY8B2ml2MkCg2d+wzc84YByoJAcQokOBHGCglKsEhcc1NhcheuxTaTHGHdYM5xHml/NsgEA53CteF00u2vc99tjDafi7dOkic845p5xwwgmu8q233urC8AfLAp8WWGAB2XzzzeXBBx90Rbli9e+//7p4Pf988cUXbnirrbaaC+2nNA4sssgicsQRR0iPHj1Ka8BqVYwDycDAzgYMeFw2QMBjRonRlgMF4FMcMEA6PgYQhom3MsGD0Kkg/MDKwiwE4ER9EFqQgw8+WNZee21Zc801nako2hMd3bPPPuvuhfKMCSB3Kx944AEeZejQoW7Dx+y8f//+0rt3b+F+uh76vv32WznxxBOlT58+0qtXL3c/E60B5vaugbYfzFIvv/zytpjIHXfc4e5uoqVyCW0///zzj1x66aWyww47yMorryy77baboHFqy+rwD0uGu+66SzjIrrXWWm7c9EV97rxSgYMuczj++ON57EDMl3zCDpkpEtCScad21VVXdfdwH3nkkQ61OCTBO8puvfXWwrUM/+oBfOYuLlcqVlppJTd3TC7/+uuvvLa41wm/f/vtNznzzDPdFQxMdEkfPXp0Xll9ePLJJwVerLHGGsJ7f//99zXLwjrhAAJ2nEANMIAwnHmYRSqgVfc1/fTNGIpUy8umDeppIu1lbUPrFgvhQdyVAfpnHMXqW35xDmA6f8UVV8hee+2VV3iuueZy1gNff/11Xnqxh/nmm09mmmkmweqMPadQedYvrpKxfwwaNEhYy1nT77nneVCrSAAAEABJREFUntTXD9KsoXF7z3333ef2IPWBwFjYD3x/K6+88oq7SrH66qvLxhtv7DThWFL4c8IXA/WeeOIJuffee52FxYEHHii0yz178j755BMhn/2C9Zg1H2sM2hk1apQcddRRAiiBXwMFVchTgo+s4Ul7t5YLQ/Y+roDoPq35ADaMK/QbwZhJf+yxx7SoC7kKctpppzkebLjhhnLyySdL+HeBLwHqptlP2Q/Zm5gP7XH1hP3bdWY/FeFAHDBAw/gYQBgm3soED0KngvADKwuzEIAT6aglQQFYkwQMIAwjFFOm1YivMXCVAh6Ec+fKADwL0+25czjAfb8ePXo4c1AOGBx8uA+KAK8aoY8++kgefvhhN0DuX3LAeeedd9wzZqXnnnuu7LLLLk4oxeSSu6VRFAnC5/zzz+8Ez2HDhsmff/4pN910kzvocL+UQxONcMDSQ8gbb7zhDlAcBsnjgIFQvOOOOwoHErRVaKgQfHfaaSfxDzXEt9hiC3f4YlwIysxl8cUXd2MjTpsTTTSRcFA59NBD5d133yUpjzCN5S7sjDPOmJee5mHEiBGy5JJLCmNkPGjbAAcAQvz65513nruju8EGGzjnhEOHDhUFWuAn93a5rsEhCR5wf3P33Xd3oIjfzvnnny8AKmu2gTmAMvARPg1qO0jTBgdwvzw8WH755YV3xPvg0M946ccvZ/HO5wACNUJuOBKEYYTiMF2fSw3xPUB/EH2X0g71qI/lAe2V0kahOlyh4CoFPAjL0Sf9h+n2XBoHEP65PjD11FPnNcCagzDIGpyXUeSB/YW7+VEUSdhmWJU+oBVWWEEAQyeeeGJ59NFHZZ111hH2grB8+Jx2DY3bewBJ2eNUGEUY55n9hH7YH1hbcXAIwMxeyHqLRYTuk5Rj3UZgZm0HOACsPuWUUwTA++WXXxbyTj31VGF/Y198/vnnBSEYcADQYNlllxX24A8//NBdvwCAYBy0DaXZuykXRwAPzIP9ws9nn2JcgCV+Os+ks3dqOo4Zl1tuOQHoYP8AqB8wYIADMfx9h+sj1GW8WjcuZB+Dr4DbtP3xxx87sGWhhRZy+3VcHUsrjQNJwADCMEJxaa02di2uUHCVAh6EM+m2x0UCz8J0e07mQMuCArAEIRftN3GfEIoRjv20Zo8DhGApgY+FcK4AAmYhEHKlc585dAAEPPXUU/L6668LIZtxt27dnHdgDj2bbLKJDB8+3A2UAwzlEFBdQtsPBwAEWoiNn0NcW7KzOMArP5pyDoS0gTZl0003FUI03JTDkgAhnDjaC9rnHiLPBx98sGC1gAaFwxd9AFJgeUB9DhKUg4499li57bbbnAaH/jhEcgBDO8XhjzJKffu2O0zksKNphIARHN5WWWUVp9UiLQtxAELDxsGSA+L//vc/4VAzcOBAefHF/Ht7WAZMOeWUzps3c0Qjx0H0gAMOkMkmm0wATTg80ibzwXQXrRJgiz8m0gAgaJ/DHnPgwM4YOJBqWfpAY8NBDr7wXtBGoZWB51rOwvrhAEIuQnY4IoTitXbeTxCSw7xynukPKreNamjrAUKwlHh8xMgOwwMQqEafHTpq0QRM6XEWOO+888ree+/tfA2gxU7LDiycWOex+gKEnGSSSYpWRWBlHURLjdDM3sK+c9VVVznHdUkNZFlDGVO492CJxnq49NJLuy5GtAG9PE8zzTROOAVMxuoBAJu1mDWafenXX3+VbbbZRthPXcUxP1ipAa6wNgOaI/SPyRL6Zg/DYgCiPus2XzvAOoA0BG71twOoq3XT7N1aNgwBo0m7//77CRwBPtAXD+wNhErsiYDkui+Tzj4DOATQw7shBJweOXKk6Hgpl4YA53fddVcHFtEWexUgCfyFr9ttt11qC5E0/VkZcUIu2u+QFwjFCMcIyWFesz4DhGApgY+FcI4AAmYhEHKl+HNLgwKwJwkYQDjGzwDCMuWamQBAAELCOfLZQQMEQq7UxzOC57jjjitTTTVVbkDTTTedcyyF9+VcYpEI5vCYOWIZgEMhPDWjkUaDstJKK+VqAzag4ScB4Z4wiRBc0ZAzNkwKoyhyRccbbzx3JYFx075LbPvhwNS9e3dnwjjOOO1L0hRTTCF4SqZsW5HcP8zy0XqEoMD111/vDh+ADrnCGSIzzzyz+3yX9jfttNO6Z4R2tEJhUwAoWGrAK+pysAKwQNPFIVTLzzrrrAKYwnMc39D8c3eTfPjDAZ44JrSEEOa4HM7POecc4T2QRlkchk0++eQ8GtUhBxDSD+vXp8PIHm8TjhGSEZY7ZDZZQpJ1AFcUDBCo/st+4YUXnHURQmMURTL99NMLX6SJ6xnBVomrUQiKrMto/ieccEJh/YmrF6ZFUeSsBHStYk1Huw2QiqVVWF6fS11DtX6hEE0682a9ZU3WsoDIaMkBwVnTNZ2QdZw5A+quv/76onsDeZjIwyPi8AZLN+KzzTab2+PY+3jG0gCHjwjPPEPl7N3s1fQHmEFbEBYRhDiSRLBH6OcZYIJngIQoat+DSYcAaNjjiDPWPn36EBUAExdJ+YOFBFf/AMZnn332XC0AJP6WAFRw+JjLsEhFOID2Ow4YQDhGSEZYrkhHddwIAAhASDhEPjtogEDIlfTP7Sfw9OWbsiTAAMIvQnA4QYTlZgUGuC4A8AEAEs4bC4pbD9pWzEIg5Ex9PLPRIygiUKLhxtydKwKYLnJwQHBOM9KFF144r9ikk04qCMFo+Mn4/vvv5bnnnnOm7mj4SUMDQJhEaPfRLC2xxBKC5oL7pEoj2rQ3HLLQoANAIChjrtmrVy9B0PXbxOnVHHPM4SfJ//3f/8lGG20kaPIZl2ZiTk8ehzVNyxLCs/HHHz+vCmPiQMd8/AyuQqBx8tMWXHBB4cCrAACHTK4DILjDA8qGfJtggglknnnmIStHs8wyi4tjhukibT9otDi4xb2rFVdcsa2E/asLDsQMAmAA4RchOMzGaqBZgQEsIQAEHm8DQMJ5Y0HBFQWzEAg5U/lnrkDhN4b1EuGXtR1zeTTFYW8ArUrcUcdiizUK4Q5hEdA4rBP3DJCAlZWfxzUCBEWERMbj52m8lDVU6xYLAVm5+qBWBH55/OnwHK7zrPHhnkQ5iDxCJSwxiAOuA4IQh6Ko/coFlns8Q+Xs3ezrABlY7+keAUAAGMF7AsQeNmwY3eT89+j8XGLbD3sa1wDborl/WDjwgNUBYVoCdKAsAIPu8RrCb/KwmCM0qiwHAAbahd8lOjSMsNyswACWEAACACDhxAFKuu0xRMxCIORM+mcDBcbwCuEXIXhA746HbIABhOdmAgeYC9cFxkw/LwAgASjJS7SHuuIApqBoXzi0gMRjpoelAHc5udeYdrC+1kTrYHLav39/QQOOtofDHJoEzNwpw8GDMIm4LkAehwPukoaE1op8LAr0wIAGi7SQMH0M09DIk4a2g5CDJr4GsCJAi0JaVmKuYZ0oatesYarv5zEmgAE/jTgHJEABrByYD6ACVwrQDJEf8o1DUxTla3A4sFEWUIUQ7RZmuHwWjOeQuGIRptlz9TmQpQeEX4RghOGwHsDAxIusLM0EDjAXLCHiAAEAEoCSkA/2XB0OsJ5EUST4GcBsfc899xTM3BH4wx4BZ5Uw5QfEZC0HcI7bJ8L6+qzApj5ryBrGusZ6pmlhmHUNDevHPeNTAPA5bo2nvKazH/GsVGjOSXMEVNf6GkZRpFEXlrt3AyrgV4Z3CD+57gb4g2VfFEU5P0JcHWD/Zh9yHY/5QYD3rR5I1v2M9nhOS/x9UJZrFuE+r4oF30qCskaV4wDCL0IwwnDYKsDAl/v1lGYCB5gLlhBxgAAACUBJyAd7zsYBAwUCfiEMxwEDFGt0cADLAMAAAA7mwpx8wlLiy8uOMOsAnyl1HMdREBpp7rgjfIL+c0+9V5vWnXt9aYauhwEti/aeAwZOg9BiH3fccc6RHlYIgA9arlCoByOuDqDlTiIsARCgaYvDKGFIHE7DNA4/aKO4MoDQrOAAwEVYNu0zB+C4snwJALDFzwt5Rh5aJgAZ7p7icRuzU7Q5mHJiWkmZkKIo/7BIfggccHgDPMBig/yQOPCGafZcUQ5UrDGE4ThggA4aHRzAMgAwAICDuTAnn7CU+PmlRwSAxE+3eHU4gEl3XMt8BYZ0PPUT+oR5vxLrsq/x9ssViydZAuDDhrpJAnUpayjtFSMswACLk9ZQHRfWDH5bceu85hfK0zKFwnL2bvzORFHk9mWAevZIrAfYJ7DQwDKNfQGwAL8zKA78sURRx33Hz88SZ68HeEja40nHWWGWNq1sdg4gDMcBA7TUDOAAYAAAB3NhTj7ZdQGfG+XHDRSI4SHAAMJxs4ADgAH4DcAyIA4MgAXMFUsJ4kb1zQGuDWCajiYeTRAHAj4phIkkJqKYhuJFv5RZ4CUZh0Eg/4ANCPaY1nPgwASVNhHECZMIYZ88LA44pISE1gZhmYMVZTl8jhgxgip5hECumgg/I4oi2X777QWgAodGzBVNGFcn/HJZ4mq94NfBcSMHSa47+Olxce7dAqgQYoLLZ7gwyeSgmZZvce2ShpMo7ocyFp590rb9NIuXyoHq1wMYQDhuFnAAMIBrAlgGxIEBcJS5YilB3Kj6HEAQZN1hfQx7Y00mDeGfsBqExh1Ndtg2+xNaefaSMI9n1s5qrKFRFAlrOKbxcWuoWqthgs84qkmV2LsBqbmah7NBrAWiKMp93QZAH0sMrDu4shBeHaj03Ni/2afxbRPu8zib5G+h0n1ae/EcABiY5rQXpFnAAb0mkAQGwAXmiqUEFhM8G5XPAQMFCvAQcABhOakIAjZad7TvSWU6M90HA+L8BjA2rAPsugCcaBxCiMbDMWaE4aaLBp2ZoOkhBDQg1PuHxAsRAjv54cGNA4Y6YvIPfHHtc92Awx/CMQcU2lMCdEDTgQUCGgzGicMmPFarxp+yaMwPP/xwoV+eQ8IqIIoi5wyQQx3XJ7QMddH8oy3RtGIhByzAEL8cX0XgGYCEsBAl8Q1QA+sB6vp84zktYRnBYRKP234dfCrg7dlPs3hKDnRyMcABhOWkYSBgo3VH+55UpjPTfTDg8REjY4eCdYBdF4hlTVUT+TwcwC0OXP2OsB7AAiyKIkF49PMqGQfwxXO/3ybALXsBALaf7sezrqFxe4/fnh/nWhfrL/uOn07a4MGDXRJf63GRKv5k2bsLDYO9n2tzl19+uftKju7X+l4x3cdCAqu1Qu2UmwdfaQOHxYRKXEPgjIL/H8B1Tbew+hwAHEBYTuoJbTuCNtr3pDKdma5gQNI1Acam1gHMlWejynHAQIEivAQYKGQ1QHUfHOhsgAAgAFLLgGJgANYB+FNgHkaNwQEOFnipR1DkHh+ele+44w7BSoDDAOZ8esDhE1I4J0KjziebOJwVmiWHNkzW+ZYzd1AxgcdjM4cNDnVRFAnmitoG9xOJU6Z///6CYE1/fLIJiwW05XzjGasGrA4Q3smnPN1CV78AABAASURBVPUgPBhzf5M8HAXyeUO0/hx40HgxX8r5BPjBNQkEbvKpq/mYLNIHXwfQtGIhB0wsIhj3nXfeKbTHGPm6gHqWLtQG36Imn3fAVxO4xoEQj7kuIAV5Pt94Tkv77LOPAKQcf/zxwjvku9KMk09k4VwxbTutWq5e5w0wUMhqgHH74EBnAwQAAZBaBhQDA7AOsOsCvMXaEmsQmnHWC9ZTPjOH5hjtMtp61umlllqqaoOKokjwXXDYYYcJIDDrOwIijgRDoMIfRNY1NG7v8dvz45jro9XGDw9WZuwbgNA4an322WeFr+Gwnvp1qhFnr0q7dxfqn68hkM/7ZM8mDnGFjb2Ma4Wks/+TXi1iPwKEYq8GqOBvbejQoYK1Cr6N+vXrJ+yh1erf2o3nAMJyIasBavngQGcDBAABEA4E04ABZh3AG6wOGSiQkq9pwQEFCBDKAQgQ0FN2UXIx+qA/iCsCkIEBJbOzISpyyEGTzebPd6fZkLm7h7d+DjkIzUyEQwhCOV6kMc9Ee096EiFI85UBtPgI8cstt5z7vjXelQEF+NoBm71+03nxxRcXtPZfffWVoIUaNmyYaxoNAXcbObgxVsALQAYsA/AF4JtqAgjgAwFBnEMOQjWmhzgPxOs+9xZdo8GPOhxEk550TzWokvjIQQ1TS8bKgeu6666THXfcUbAgiKLidzC5LsBhG8uAnXfeWTicMV8Ox8wJoCXuHm/igLwM3iH+HODPDTfc4AACgBM+Eak88Iq3crQh554WHFCAAKEcgAABvdoTpg/6g7giABkYUG2ul9c+QCH3yVnHbrvtNsEBK2sHGlusvfgCQXk9FK6NlRjCP4RwCDjK5w1xfJe0ltNi1jU0ae+hrZDQmrMvwgfWdtZ64lxXgB+A6WGdaj2zx6TZuwv1z1cO9BOACP9aFjBcv7DAHDW9WiH7GtZqvDu+gsDfGnsSf3877LCD+zxjtfq2dotzIC04oAABQjkAAQJ68dbLK0Ef9NdOO4uBAeXxs1K1DRTIyMk04ABNIpQDECCg6xUDBQkQ4ilTClEXoi1AANqmD/qDktrUawJmGZDEocZLRxPDvVG8++JwiAMOgjQaEX82oPnc++M70AiX5N18882CBjvOez2aFDzmAwIg0OI4CnNQ7qHy3WtM8zl40g4C62WXXSb0TR0OB6RDaPL5lBWOnEaMGCEcSmkTrTf5StTF/BENA3fk0aijYeLgw7gBErSsH+KTgGcOIYRKABtYJsTNTctoSB/wYeDAge7b2tw5xdIA0ANwAgdVWpaQsSH4E/cJPpx++umC6SwetPnkIvNGa8fcsOp46qmnclUAc8KvGpAJQMJ4EP55VkLjgzaG9811CcaJHwksBijP1w60bGuEzTfLNOAAs358xEgBIEBA1ysGChIgxFOmFKIuRFuAALRNH/QHJbWp1wTMMiCJQ7VPByTFKoz1k2tGfHEAZ65obqMoH+RkzWINqeQodc/Bcow1E3CCMfl9YN1GvwDHpGddQykft/c8+OCDbm9jzaRdJSzoWEO5Sse48K/AWrrffvtpERdi0cC4WP9dgvcD/8gL9xzAeNL5lKNX3EW5FsHe5x7G/KTdu8cUjw3Y9+kT4MUvADBPOuC0n048ad9h/6AOfzOUg6hPGuA4zxD7Ins6cSWs+XCsyzmB/Ruesj+hXCgEAml9C6vPgTTgAKP4493nBIAAAV2vGChIgBBPmVKIukqAALRNH/QHJbWp1wTMMiCJQ5VPN1CgRJ6mBQe0eQACCAEeQphXQriHEPSVeFbScoTUhWirEAig/RoYoJxozhCNPhoDNPihAOvPmAMUGz/l/fSkOCaIfH2A7zGr8J1UlnQ0MThAiqL8Ayd5HMb4xjWf8ouijvkcwugr9B8ASMDhQjUftKXEYeW8884TAIONN95Yk13IfVrqYuXgEjL8oGnBYRKWFRmq5YpyCFp44YUF4T6XWMEImhm+M17q+Co4lNo11WI9pQUHlC0ABBACPIQwr4RwDyHoK/GspOUIqQvRViEQQPs1MEA5Ub8hFldo1Lt37y5R1HHtrebIWasAXdkbsvSTdQ2l/aS9J65f9kDGBVgbl1+rNMaRZu+u1XjK7YczBg5/2Z/YR8ttz+pXngNpwQHtGYAAQoCHEOaVEO4hQAMlnpW0HCF1lQqBANqvgQHKidqHBgqUyXMFB3DWh1NChPCsTSLcQwj6SjwrZW2PMTAeyCwDsnLPyteaA+utt56gYeD+KxYJaPnRsGOOj7afaww6JnwcoNXHgRJ+Evbff38JBWQ0QNNMM42gjdF6FjYGB2yUYzmg4ADO+nBKiBA+NjddDOEeQtBX4lkpXStjSzEGxgOZZcBYvljMOGAcMA40CgcUHOi2x0XuawUI4VnHjnAPARoo8ayUtT3GwHjaaYjYFwWycrAy5Q0UqAwfBWd9AAQI4eqYEJCgQs0XbAYQgL4AAeibMTAeqGBFyzQO1AEH8Hmwyy67CGaPmCrif+Dss892XpXxS4A2RYeJKSpOobjrj+fjgw8+WLNy4QwzzCDURxOTS7RIvXHAxpOSAzjrAyBACFfHhIAEKauXVQwQgL4AAeibMTAeqKyGrbJxwDhgHDAOdCoHELwBCDDPV8eEk6y5W03GBAhAX4AA9M0YGA9UkwFYJ7EcMFAgli3lJwIQQAjp0IDeKwqEAA+V0gP1lGjLBwHoy0CAUrhqdTqbA5h/4ukfZ4X4LMDpINcGcGCEOaI/PiwERowYIdzH5949Jot+vsXrkQM2pkpyAIAAQkiHENohBHiolL6op0RbPghAXwYClMLV1qvz3nvvCX5jWm/mNmPjQONzAIAAQkiHENohBHiolBlST4m2fBCAvgwEKIWr1atjoED1eJvXMkI7hBYfAihQQrhXUmFfnwm1HPWUaMtAgDwW20ODcwDnhXzeaLHFFhN8GsRNB+0//glCp1VxZS2tEzhgXdacAwjtEFp8CKBACeFeSYV9fSbUctRToi0DAWr+GpuiQ+6SF/Jt0xSTtEkYB1qEAwjtEFp8CKBACeFeSYV9fSYcW26IUBeiLQMB6vuPx0CBOng/CPdKKuzrM2EdDNGGYBwwDhgH8jhgD/XPAYR7JRX29Zmw/mdgIzQOGAeMA8aBeuMAwr2SCvv6TFhv47XxpOOAgQLp+GSljAPGAeNAq3LA5m0cMA4YB4wDxgHjgHHAONDEHDBQoIlfrk3NOGAcMA5k44CVNg4YB4wDxgHjgHHAOGAcaDUOGCjQam/c5mscMA4YB+CAkXHAOGAcMA4YB4wDxgHjgHGgjQMGCrQxwf4ZBxqJA4cddpgcffTRFR8y3v/32WcfufLKK3NtX3TRRULajz/+mEtLivC1AMq++OKLuSJHHnmkHHXUUblni1SeA3F8D3uxZ+OAccA4UAkOxO0TSe020vp/0EEHyXHHHZc0lU5Nf/rpp90+/Mwzz3TqOMrp/O+//5Zff/21nCasrnHAOFBlDhgoUGUGW/PGgUpz4MILL5ShQ4dWulkZPXq0nHXWWfLAAw/k2r7zzjtd2i+//JJLS4qMHDnSlX3rrbdyRS655BK59NJLc88WqTwHAr5XvgNr0ThgHDAOjOFA3D4xJqtD0Ejr/5AhQ/IA8Q6T6cSE1157ze2t//3vfztxFKV3jaJg8cUXlzfeeKP0RqymccA4UHUOGChQdRZbB8aBxuDAlFNO6SwQNt5444oN+MADD5QDDjigYu1ZQz4HLG4cMA4YB+qXA7b+V+bdLLbYYm5v7tmzZ2UarHErKAZeeumlGvdq3RkHjANZOWCgQFaOWXnjQJNyYIopppAjjjhCevfuXbEZ9u/f35k9VqzBVm3I5m0cMA4YBxqMA7b+V+aFLbLIIm5v7tGjR2UatFaMA8YB40AMBwwUiGGKJRkHGoEDP/zwg7uvv+aaa8p2220nQ4cOlX///Tdv6I899pjsv//+gol5XkbbA+XJ+/7779ueRLgryvM111zjngv9/O9//5NTTjlF1l57bdltt93kiSeeiC0+aNAgp+HQTO5G0sfHH38s3I8kvuqqq8rOO+8s9957rxbLC7/++mu54oorZMsttxSsGM455xzhfiK+FS6++OK8slkePvjgAzn44IPdHODhfvvtJ9zP99v48ssvHf8eeeQRefXVV4Uyq6++unBX9tlnn/WL5uL//POPuzKxww47yMorr+z4c/fdd+fyNZLEi0K8SMt37cNC44BxoLk5oOvIJ5984tZh/LqsscYabo16++233eRHjRrl9orVVlvNraMPPvigSw9/7rvvPmfZte666wrr3B577CF33XVXWCz2WdfzwYMHy19//eXKVGL9Zw6nn366rLPOOsKaypU25sreMWzYMNdPsZ/PP//crcnbbrutsN/stdde4l9zK1SfcocccojbJzbccEM55phj5Jtvvomtgnk/e8Nmm20mK620khsv1xKUH1oJ8J39l7a33npr6du3rzz00EOa3SFU3vp7zsCBA4XrGb/99puceeaZQp+8N9K54qGNsJ/Dq/fee0+TciH76IABA+Tkk0/OpRFhXGnmjK+h0047TTbaaCM33379+rkrGP45BP9HTz75JM0KZRmLe7Af44BxoO44YKBA3b0SG5BxoDgHAASWXnppd8/wzz//FIRWDhbrrbeecEjQFl544QW3EbPJa5qGd9xxh8v76aefXBIHCTbtJOHcFWr7ee6552ShhRaSww8/XBgHBzOE3xtvvLEtN/8f/g9wVqipL7/8suvz7LPPlhVXXFHOP/98+eijjwThHoCBw5+WJfz2229liSWWkO233144cH366adOSKfsGWecIbfeeivFMhN3NNG6nHTSSfJBGzjAPPCn0KtXLznhhBNy7dE/PKGv5ZZbTjg0/9///Z8wp6WWWsqNO1e4LQKAsVLbYXDHHXcUAJkuXbq4MXJY22mnnfJAm5dffjkTL7LwvW0o9s84YBxoAQ7omnrqqac6weymm26S559/3gmvgAOABssuu6xb1z788EO57rrrnMDvr/MIcQDLa621lpx77rny3XffufX2vPPOE/YUhNhCrERoBUTASS1rHese5ctd/2l3gQUWcODt6NGjhTVw/fXXF8AK1mXmST+FCACa++yAraz7zA1gmXbZUwrVvfzyy2XRRRd1Qjf7JG0h5LL/MTa/LnyjLKAI+y17wWWXXSa77767A4f9svD16quvlg022EAQ2ocOHZrny8cvSxxAmvkyfp4h9k7GB6CNRQbm+Y899pgMagPiGQfzpNy4447r9hn2WJ59wn8QgABj1XTapD5AQ6E5AwissMIKbj8GrIiiSK666iqnoOBvQNt79NFHhb87np966im3hxI3Mg4YB+qPAwYK1N87sREZB4pyAE3FZJNNJu+88448/PDD8v777wtaEDTSaCaKNlBiATTnaAUmn3xyAXBAA4DzIA45xNM2i5UBQvgXX3zhNDbDhg2Trl27Ou/PgBy0g8Z9881VedzGAAAQAElEQVQ3l1FtWq4bbrhBXnnlFeGAy0GQQ1Ia54e0E0cI/gABHFJef/11IeTA161bNzeGsG20UxyaOZRx6GbOgAJ77rmnO4BrHwcffLCzNkBbxLvh0AXo0adPH6fV4cClZTVMw4tK8V37tNA4YBxoLg4AXLK+oEWHttlmG7cvLLPMMs46gDSEVQVvWX+VAwAECPQI9gjfw4cPF8pjARZFkQDW/v7771o8L2Q9RjCdeOKJBQFw4YUXzsuPe0iz5rE3YBmGrxv2GsbE+guowXoc126YhlDL2AB377//fkFwpi2EWIAQLL/COvr87rvvyq677ipTTz210C9WZMyVfQ4v+uwHf/zxhyvOfozvHPbkzz77TABq2KMAnOecc05nwUE9V3jMD5YBzI0x0TbWC2OyUge8H+aBIz8sKpgnAjnnAYAGGurdu7ewXwM+UJY0Jd458T59+hBIljlff/31zgKRvZS/FRQT9A/Yf88997g50yh/E1tttRVRYe8sBsS4gvZjHDAOdAoHDBToFLZbp8aB8jgwzjjjOG01hwpaGm+88ZzVAFpsDlykVYOwLuAAgPA7//zz57pAC4NZZi6hSGTTTTd1B65JJpnEleQgseSSSwoaCw6DJCJ4c3DaYosthPKkQWhpMOEkXipxcEODMtVUU+WamG666YTD5s0335xL08gMM8zgTCzhO2mABxzCOShjwkka5plohqZqaxPTyyiKSBbezYknnij0hxbHJXo/zI3DZyFeVIrvXrcWNQ4YB5qIA5i2Y4rOlCaccEJh3SQ+22yzCeuPrnUI2gCwCIDkQwCxCIYI/+OPPz5JjrCOAvz8+eefBYHPJXo/CNgACaxdaKn9PcEr1iGaZs1DgMQyjDUTrb42AlCsQqamJYWAvQihXHHz9yesz1ijJ510UuFqQVx99hjWd4T12WefPVeEfQrABSH82muvdemME0s9rAWmmWYal8bPrLPOmtu7AIdJ8wkAH4u15ZdfXmaeeWY/K3X8ggsuEHwOUIG9Zt999yXqLD2I8D7hF+C6D0yg6b/tttuE+fznP/+hqLMuSTtn9lAqTTvttASO+LvCiu7222+Xueaay6XZj3HAONA4HDBQoHHelY3UOJDjQPfu3SU8gCGoctjhgILmIle4ghE0IDTnH7B4htBQEKYhDkJhuVlmmcUlod0hgvaDkEMnoU9cH/Cfs8Yx2+SeJ4cpDkxoTNDGY2bLvduJJpoor0nMcCeYYIK8NA5TaMfQ9JCBJQPWDbwDtCZoS5RGjBghaIzQHHEYo7xSGl5Uiu/ap4XGAeNAc3Fgvvnmy5vQvPPO657ZJxTMJCGKIqf99q2hWA8BNGmDNQyAE+uBY489VrCgoh7acUIlQFvWytGjRzvQYe6559asomGPHj06lKnG+q9rc9wegtAP8AAY3GEwbQkjR45s+xVB6NV1XEOsB8jEGoBwwQUXFKzlADt4BmgAJOGaHHsBaSH/uGIBv8krldiT5plnnrzqIR/JBLAgxLyfEAL8ZkyaR1qWOePjgTng54H9EZAcSxTAAK54JPGVfoyMA8aB+uSAgQL1+V5sVMaBghxI0irMOOOMrh5aARep8A9mlDSJ5pzQp5lmmsl/LBj3tSlaEC0DcQ6lhHrgmn766XnMIw4c/kE3LzPFw9577y34E0CzgrYHU1Da5I4kVxTCJmaZZZYwyT0zNq4f8MB1AUIOjhyYQuLARD4HbkKlNLyoFN+1TwuNA8aB5uKACoPhrNCGh2lR1G7F5KejNUZjjdZ/jjnmcI718FOA4Ei50PQcKwFAUQRDfA4omEvZYpRmzSu0/us+V6wfgFrKZNmbKA/pes61vHAt53oYZXxrCwRqQAG+4sO+0KtXL+e0UTXqIf+YA7yjnVIJcCKK8t9luI/SNp8yxMKOqyN65QEg3LcooVyWOeN3gOuKWFFwTQ4LBYAoCICJ9oyMA8aBxuKAgQKN9b5stMYBxwE9qLkH7wetDY8IuIRK4YGEdO7UE2YhDjuU1y8WEFfyHRxqWlIYRfkHGcqFY+RwRTpXCgh9Yp4KHvjpWeJ8QxuNDlcUuA+KCSV3NHv16pXnJ4A2MZ8lDAlnTnoY18M3Zqlo9pMo1KhFUXFeVIrv4fjt2ThgHGgODpQjYCLEcf0A4JJrBHzthfWLL9JgERXHoe7duztfLAcddJDzXUAYVy4uLYqKr3mF1v+0lnAAHPRfyl7Het6tWzfnHwBexBHO/2gf8AFAGbN5nDXiyBAfCFy54PoBZUIq531pW1FUnI9aFosA9itAa64y4MeHd44fBC2TZc7UwQIDIAGA6LjjjhN4wLUKrAd8nxWUNTIOGAfqnwMGCtT/O7IRGgc6cAANBZ8T8jMQqrk/iem7CpGYF1ImDkRg8yYvCy222GKuOP24iPfD5/K8x7KjCOk0guk9oU9xaX5+oTjXBjDt5HDUtWtXWWWVVZy/AObE55nQpIRfNeCwHLYJoMDhFC0MeSrs4xMBrUxIHMQ4JJZyGKwl35mLkXHAONA6HMADfRRFTsjHDB7tOOsXa5Wu6+F+g78BLNawEkA7zP14NZWvBOcqsf5zZYux6ByIK/FlBCwjcNSraX7Ieg74jJM+eOETgrRv8cWXALgWRshXBfg6Ag4esaTQvkP++X3VIo4fBCzjsBbAcS+gOkCB33eWOQOS4LyQeWE1ABjOvqqfsMQhpN+2xY0DxoH654CBAnX2jv755986G5ENpx45gDCKdscfG96AQe3Z/KOoXYPAfUjK8Ck9QiUEYoRUfU4b4hAwiiJ3h5TDgNbjQMQhS58rEeI3ANNE2n3zzTdzTWKmykE0lzAmAigC+JFksTCmmHDtYMstt3Sfg/IPduSj/SJULRVxCH7pNQGeoeOPP57AgQpE0KhxSOZQ6I+XPO7n4nMBbQoHM9KyUC35nmVcVrZxOPDPP/80zmBtpDXlAH4DWJfQjPsdc6UAAJo0nBEShoQjO/3c3Y477iisz2GZUp5xDohz1oEDB4qv6WePw6FfmjZZcwE20FoDBmsd9i7WbxzvcVVC0/2QqwA8h3sN/x+xf/AVHvhGGd1LMefnWYmxYj3AcxL/yKsF4WiSz0ti8o8wj4XbyiuvnNd1ljnDPxxbst/5jeBcMYoi8fdQvdJQqb8Nvz+L1wEH/jW5pQ7eQkWGYKBARdhYuUbWHTRUzr5jeOUatJaakgOY+fH940MPPVTY5Dk4bb/99sLXCPiOsk6azzHxRQI0A2gF+GTVPvvsI3hwRruj5dKGaMX5BBFm9jgXwlkRdxOXXnpp8R1XpW2vUDkOqZhhcgjDeR8HTu4t8skrHPZRFwGfEEJzgZVEjx49eEwk6tAOh0TuisIvvPtjJcBdUQ7Gm2yySV59xsAdUQ6jaEIYCwdNTG3hO4Xp+4wzzhAsDdAS8RUIwAQ0KPgsIB9P0ZTNSrXke9axWfnG4MDau+wvp1xyTWMM1kZZUw7gMJB1CwsBrKT4fB9fmGGfYE9hMADRhHGEg1b2ow8++EC4lhVXJmsaWuvDDz/cfUaQNb9///7CV25YC9UCjrW8ULtYG+y5556CeTsCMP5j+FoMICtjxbeMAsFhO4ASaMDZM3HEiIZ96NChztcCfmf69esnWBpQDzN6QvYQABL2R774QJ+A1eQV4h/5tSDOAFz9w4kv+1bIvyxzhnfs0XzWkTMF4Adng80220yiKBKuEOicVDmx//77C3svXzjQPAsbnwOjh+whvzx4aeNPxGYgBgrYH4FxoAE5sPjiiwuming3RhuCYIummsOPbsBMC/NFnADhEZgDDUIsWgIEWrQdlMlKHHzoDy07wjOHC5wmIcBnbatYee5n8g1nDnEI2IAQxNG8U3fSSSclyEwcXPGszRWAo446ylkNcD8UrdGzzz4r3bt3z2uTgw4HQw6mqm3hEBwK+WiPMKHlHdAHoAMHJbQmWHLwebC8hjM81JLvGYZlRY0DxoEG5wCm/6y1WJSxhgEm45kfQRghmumRR5hEaI7RPrMmJpnkJ9VNSgfsxmM+2mf2L4Rx1tXBgwe7KoDjLlLgh3WdTy1y758vzey0006CUIwFAMBtUlWsFNh7uArAHsoegFDN3BB4Efq1LmXYG7AMALjgbj3rPoAE19Joqxj/tK1qhrxj/A1FUSTs22FfjDPtnAG++ftgb+M80bt3bwEAx/8OAAF/R9o+PAfY53wCcF7K1UVty0LjgHGgehwwUKB6vLWWjQNV4QDOn/Rgwp1HvDSjhWAz5/AUdgpYwL3GTz75RLgbT30ONxyK0GIg0FMH4IBnNP88Q2jQSUPI5VmJuoACtEffaJbQMlHWBxvoU00rqYt2hTL0z7NPXIcgTz/ThOYKjQL36e+880757LPP5MMPP5RLLx2LSHMg0Tb4zBXAQVpP04cddph8+eWXgnksh0SuQDzzzDOChkrb1BAT2YsuukjgN4c8PEpjNaBmkVqOEIsCPteFUyd8H2BiynUCwBvylbLwQuuk5buWt9A4YBxobg4krSMAnKyngMAhB1iTWZc0na8BsHbiD4U1iz0CAZdPywGC0g5Xnygft0+QjoDOV2+wqsJPC2nlrP9YntEWJurDhg1zay9fYcF6QK8T+Os//cVRFEWCwM56zJ5FG6zjANtourUObbJu6zMhoDpgN4Iueyh7LZp2gBLmSxkIjTvAAz5jRo4cKVgh0B9ALlcKsEp76qmnKOqIPRP+uocUPwANvAMs1LQ4gDb81mcNOQNQFutATdMQoZ+9C77y96Hpfph2ztQBKOcMwHvm74Z5vf/++xLudVibALbDE3i0wAILUN2oWTgQ2fWBZnmVBgo0y5u0ebQkB9jk2WBxhlSMAXxGME7gLVavUD7tpem7UBtxeaR9+umngsk92h2efTrzzDPdI9cWXKTth3uiaJNwgNX2mOofh0L8FiyyyCLC55mKVeLABGgRRe0+GwqV5xoCpq6ALlFUvHyhtsK8avI97MuejQPGgdbgAOAAaxb3zzt7xgi1rP+Ar/5Y8BmDNQJp/vrPcyGKokhmm202mX/++SUOzC1UF6EfMIS9ljEllQUo4KoDgnlSmUZJTzvnKIqEswV/N8VAGhw0Vuu80Ch8tXEaB+qZAwYK1PPbsbEZB5qfA4kz5GDFAY57oLvuuqvg9AqPxphucs+T+5obb7xxrj5aLg61WADkEi1iHDAOGAeMAw3HASyuAG2xjmJNx4Sfaw5cyUI7jak6gGvDTcwGbBwwDhgH6pQDBgrU6YuxYRkHmo8D2WYURZFwfQEnTnyBYMMNNxSuJgAObLHFFsKVAnU4RctoK/CxwEGSZyPjgHHAOGAcaEwO4NeFtZ478FxdwLEtflwwux80aJCQ1pgzs1EbB4wDxoH65ICBAvX5XmxUxoHG5kCFRs/BEH8F3IMcPny4cOeTe4tYDxQy46xQ9zLPPPO4T2wBSlSqTWvHOGAcMA4YB4pzAN8E+HDB7ws+c7i7PmrUKOErMcVrWwnjoBsSfgAAEABJREFUgHHAOGAcyMIBAwWycMvKGgeMAx04UIsEtEV4O5533nnd545q0Sd9RFEk+BHA0SDPRsYB44BxwDhQOw5EUST4feHzf1iD1a5n68k4YBwwDrQWBwwUaK33bbM1DpTDAatrHDAOGAeMA8YB44BxwDhgHDAONBkHDBRoshdq0zEOVIYD1opxwDhgHDAOGAeMA8YB44BxwDjQChwwUKAV3rLN0ThQiAOWZxwwDhgHjAPGAeOAccA4YBwwDrQsBwwUaNlXbxNvRQ7onA866KA8782PPvqo7LPPPvLSSy9pkboJ//77b/n1119z43n66afdWJ955plcWitEPv30UzfvG264oRWma3OsMAe++nZ0hVu05owDtecADgfZq1588cXad+71eMUVV7j1+Ouvv/ZSKxPFkeJRRx3VobGffvopL62aY8jryB6MAwU48M+P3xXItaxG4oCBAnX2tr76Pn/Rr7Ph2XAahwMFRzpkyBC58sorc2UAA8466yz53//+l0urhwgHv8UXX9x9dUDH89prrwljxSu1prVCyOGTeT/88MOtMF2bo3HAOGAc6MCBkSNHuvX/rbfe6pBXywS+isN6/P3331e820suuUQuvfTSXLsA44cffrj07ds3l0akmmOgfSPjgHGgtThgoEBrvW+bbVNyoHknxcEIwMKf4WKLLSZHH3209OzZ00+2uHHAOGAcMA4YB2rCgU022cTtQ1NMMUXF+zvwwAPlgAMOyLX73XffyeDBg+X333/PpRGp5hho38g4YBxoLQ4YKNBa79tm2+gcsPHLIossIkcccYT06NHDuGEcMA4YB4wDxoGac2DDDTd0+9Dkk09e8b779+/vriYUa7iaYyjWt+UbB4wDzccBAwWa753ajJqEA6VMA5N67iNuttlmstJKK8kOO+wgXBX466+/SmlO/vjjDzn33HNlq622kpVXXll23313ueOOOxLbev311+W0006T9ddfX9Zbbz0ZNGiQoOUIK9x3331OE7LuuuvK6quvLnvssYfcddddecWwBnjyySddGm3uv//+Lo4vAeLPPvuse9aftGPFJwH1P/74Y9G2Vl11Vdl5553l3nvv1eZShWnm8eWXXwr9PfbYY/LRRx85nqy99tqyxRZbyPnnny///PNPh764KnDZZZfJpptu6njvX/XoUNgSjAMpODD1FN1SlLIixgGRY445RvA7g9l6yI93333XrWe33HKLy6LM9ddfL1tvvbWsuOKKsu2228opp5wiP//8s8sv54frbLTFernbbrvJE088kdgc6yiWZex57FWUv/vuuzuUZy1lbpQ/77zz3Bq75ZZbuut04V7F/sPa/dlnn8kZZ5whjOPEE0+Ub7/9Vq6++mrHh2+++Savj7T70NChQx2oAJ/69+8vvXv3Fq4N/Pvvv26PYP+jYfY59nTi7O+M54EHHuCxwxioT34SaTuuctsPVx9OOOEE4bywxhprCBYKXM9ry7J/xgHjQAtywECBFnzpNuW640BFBoTwvuiiizozQ+5bqmCJIM8hKWsnHIQWWGAB2XPPPQVBmvoc/jbYYAMn0P75558k5ejBBx902nvuPnK4evXVV2XgwIHOzP+3335z5TjwbLfddrLWWms5sIFyHHQ4nAEiYAHgCrb94Pzwww8/bIuJPPXUU4IAzgPtAhL4h5csY3355ZcdcHH22We7QyyCOcL6xRdf7A59p59+Ot0UpCzz4ADJeC+//HJZeumlncnpqFGj5OabbxYOrhtttFFeX/BkySWXlB133NH5eHjvvfccuINzrbyC9mAcMA4YB6rAAZyannTSSRLnv+TCCy906+eEE07oet51113dfgCoO84448hDDz3khMsePXrIJ5984sqU8vPcc8/JQgstJOwnP/zwgwwbNswB0zfeeGOH5tjrAMFZMx9rA1+7dOkit956qwA677TTTsJ6rZUAChDwAQIQgnFiyzi33357WXbZZeXHH3/Uos7xLms3pvv77ruvA41xABhFkdxzzz2OD6NHj86Vz7IP3XnnnW4P3GWXXeTMM8+U22+/XS644AKJokjg8UUXXeTaZW/S9wDADHD9zjvvuLxwDDhhvO6668Qn+AAQwjyuueYaV4+fESNGOP4eeuihQntcTWAv5Hoe/VPGyDhgHGgtDhgo0Frv22bb6RyozgDQVnAHcbLJJhMOJgi+CM8ffPCBzDnnnE7DgtYjS+9ozt9++21BSH7//fflkUcecZpu7jECDnCw0vboa+ONN5bZZ59dEPLR6FCHgwghbVCWAw0HFKwDOEwNHz7cHRwpH0WR64vDCWUBBbBQIH7TTTe5donHUZaxan00UDiK+uKLLwQQhUNn165d3VcZQsBD62iYZR5aB80/FhSj2gABeATg0b17d3cYVL8JHF6xIIBn8Jj3iDUD7464tmWhccA4YByoFgfQttM22nBCJbTrCJYzzDCDs/BCmEQ7vc466ziLMNZsAAUVNNHca90sIcIvYCmm+S+88IKw/r3xxhsCeEw8bOvggw8WBGI04YwJTTrCdJ8+fZz2HUDWr4M2n/UeLTxgBnWZF30ADvhlidMvFne0jTDPuEgPKes+BADMWCFAbvoI22S/ZZ8kHeADazyAfp5DYp4AHD4B6E888cQCiMMcqcP+hkUH1nI4K8ShL/xgv59//vmdIgArDcoaGQeMA63DAQMFWudd20xrzYEa9sdBrG/fvk7zMM000+R6nnXWWZ15JAkckgjTEFoaNCoI7/37989VmWiiiQSNOs6VMG/UawnXXnut07AgaM8222yufBRFsvfeewv3Hjl8IPByGOGgBkgw/vjju3L8LLfccrLUUks5k1M066Slpaxj1XYxzUfLNckkk7gkTF/R0KN1AihwiQk/pcxjpplmchohQpqdfvrpnaktcUACQkxzOSBijcH4SIMYFyahxI2MA8YB40A1OcAXXxAOuSLwyy+/5LpC6GctR6Acd9xxHQBN5tRTTy1YCRCPokgOOeQQAdT01zDy0hJX1BBsEfYZh9ZD6Oaqlz4TYkkF4DrVVFO5fqMoIlnGG288wdSfcQ4aNMil+T9YIGAJp2mAsWuuuaazMPj888812YW9e/eWfv36yRxzzCGrrbaaSwt/St2HsI6jTeZZaee5vDss8ACi+XzhEkss4YYN2PPmm286yzj6doltP9NNN50cdthhwv52/PHHt6XYP+OAcaCVOGCgQCu9bZtr1TjQ2Q0vuOCCTouihzAONZhRYiKPhp/xYSZJmIZUSEU4DctjjbDSSivJTz/9JGi0yUfTHUVRhwMTBzIOllxtiKJIaI8D3Hzzzefu0nOgQ+t+7LHHCodN2soyTspnHSt1oB49ehDk0SyzzOKemZuLJPyUMg8OfRxU/SbD/tQaIDz4UgdTWEIj44BxwDhQbQ4AMrMOYtaufWHlRZw8QsBKBMmhQ4c6B7Bo6tFMo5Xmnvq8885LscyUZR185ZVX3F6CwMteh0m9EibyWMphMedfC2BArOGEPuk1O/YzP33hhRf2H2Pjpe5DadqO7bBIIlYdXJF4/vnnnfUbFgdaZeTIkS7KnqS80hDwHoAH6z9XyH6MA8aBluGAgQIt86ptohXiQN02w0YPKIAWHy10r169nDM/rhMwaDZ7wjSEGSHlZp55ZoIOpOkI9WRyMENT42v/SY+j2267TZZffnlBQ4/mBedNp556qigYkGWctJ91rNSBfIsKniGuDxByoCIsRFnnkaY/TEjpE/NcQp/UwsBPs7hxwDhgHKgGB7AG4G7+VVdd5ZpH64wfFPyizDPPPC6N9RJ/L6zn7D84KFxmmWUEoABnfpjpu4IZf7Ksg5j00zxCLdcYQuJqGPm6VxEHrJ5xxhmJ5pGuu5jo+xlY3PnPcfFS96E0bcf1VywNHzRYXHAVBIsLv7zyDEuKkF+AB+x/WK35dSxuHDAOND8HDBRo/ndsMyyZA41TEaF8hRVWcPfTceJ3zjnnCPcQMcXfa6+9Mk+kW7durg7eiV0k+OEuJEncVSREwA81MaSHhJUA1wk4qPXp00cwaUQr9NVXXwlap7B8muesY9U2oyjSaC5MC0iUMo8oKt4fYA6DieO7Omsk38g4YBwwDlSTA4CYCIxcZ2J9BgTFckCtBLRvrotxJx9tPI7qMLUH4MVRISb5Wi5LmGUdnHTSSV3TXFlgL0miueee25Xjhy8mxK2nuq+pBRdlIcARwkJU6j6Upu1C/cbl4cuHMwAWfbyTsIzyDJAniV/4+Qnr2bNxwDjQ3BwwUKC536/NLi0HGrwcGz9COSH3BfnEHxobhHZ1GMRBKO0055prLlc0yYRQ0zkQUhATTQ5ZOM/j2Se8K3NvkXv6J598svOujHYJ501oo/AwzcGolHHST9axUqdcqsY8GBOenwnVFJW4kvJHny00DhgHjAPV5AAAAH5jAATwG4NPmc033zzXJes9giX3/9F446MFb/doov/v//7PfWYWICFXIWUkyzqowj77C3tJSPjSARxnj/G7B5j2n4nrulvK3f7O2IcYc0i8D5wOY81BPLyyRnnlGZ9DDPlFPRwulmrlQftGxgHjQGNywECBxnxvNuoyONCMVTn4MC8cPhEqcTjTO6E4D9L0YiEaBq4D8Ikk/BP45fG+jLdiHAOqCSbaf8qgoSBUwqQS79SMY9ppp3V+AzikqFZFy3HoVHNFf5yYp1Km0MEy61hpr1zC/0GWeaTtD98Q8J3PUeGB26/HFQv/2eLGAeOAcaCaHMBSgHUbr/ZYDPBFAIR97ROTfczNcZanaYRcYcP3DKC0XinDCgsLAsBjyhQinL5GUeQcBfpgNsB3+Lk8LMy4zgYYjvM8v1381eCL5bjjjnOOB/08gF3/GWADyzWAbr6i4+eliVdzH0qzDzJG/Dlss802wjkAR8FJX0ngPXKFAr6E74NPLmLhAe9o08g4YBxoHQ4YKNA677oVZ9oyc+YrAUx2wIAB7usAmP5xXxDHSRzGyOOzhYRpCKEd80/M2NHaoNXnkMDhj0Ng9+7dnXdpbYt7i2hXzjzzTNlxxx2Fu4wcOLjKwP1EFWixGEADgYUAGiU+h8R9R7RPU045pWvOHycHUhLxvL/vvvuKfq6QNKWsY9V65YRZ55G2L4AGHDNyeAZ04ZNeACaY5PJO07Zj5YwDxgHjQLkcQLuOkMlVNNZtLAf8Nlm38XWCA0LKYU0AkIzHe4BqPu/HmkYdAGIsDVRLTVoSsZeccMIJ7lO6a6yxhqDxpg/8GeDbwK9Hm3wel/FhHccXcAAruE6w3XbbCfmMya9DnK8jIPyyVwE0sN4iKCuITpksVM19iOt5zIPPMe62227uCwnh2ABM+OQtQj4ABQAHfh04E/jENQ+cG2JNCIjC/s4+w37M1x3gH9YD1An7sGfjgHGguTlgoEBzv98Wml1rT5UNnk8HopFnY8e/AIeqPffcUzCJ5LBz3333ZWISB8C77rrLaVhoH4eAfG/hg7YAABAASURBVM2AQxpenv17l3gr5nNVAAI4psKzM582QrjloIhmgs6HDBkiAAWMhTQ+AXXTTTfJjTfeKFgUUIY8QminnXYSvEq/8MILwsGPgyXpIWUZa1i3lOes88jSB0674BkWA8wfKwzeoc+XLO1ZWeOAccA4UCoHWFupy/UAhE3iSmiiWZdYs9DUb7XVVu7TfazXfLKWT89q2awhQilt4CAQIBqAAcs07sqHbbGXsCcBIh944IGChQP7HxYLCP9o/8M6WD+gWWev2n333QWgG8EYa62wbNpneJV2z0zbJuXYXxHWJ5hgAtErgqT7BCjA53RJY87wDmAfiwifAGsow37KV4GwBGTfhod8bhgrjeuuu87t+5QzMg4YB1qHAwYKtM67bp6Z2kw6cIBDAwcw7k6OHDlS0AbgNImDFaaE3AvlHr9W/OGHH4R7g/q83377CRYFaH40jZDDFZ8dxJQdZ4Zo8dGsxB2ycF7EoQJTf3wOcJjjAII2hrYgnFehxeH+J5+LwoEVQAYaDrRLjAELA8pCWA88++yzwlyY2wILLCCAHpTjIEMZpbRj7devn5srBzitqyEOBGmbTyZqWlyYZR58los2OYSGbXHQJY9DqZ/HAe25556TTz/9VEaNGiWAIWjJKBun9fLrWtw4YBwwDlSKA3y2jnWHPSWKOjpLJR+BnL2BT/mxXiGcYlUWRWPLYyFAO/ghSDs22mAf4f4/7WNZhpUZ7fC5Pb+dXr16uT2NvYK9hSteaMK5PuCX0/hyyy2XW1vZj7DEWmWVVTTbhTjppS+sIFyC9wMIQh5f0PGSHSCRZs/E+oH6WFr49YlzlYG9k7gSFgKjR492ewKgMen+GPhyAu0VIwAc6kZRJOw7vCv6A8iBxw8//LD85z//oYiRccA40GIcMFCgxV54o03XxpuNAwjmmAai1clWs3BpgAU0KFgcFC4pTsOA8A5wAFgRVx6hGhNRtOFx+WEa91PRSoXpcc9ZxhpXP0ta1nlkaZuyfNrLt8ggzcg4YBwwDtQbB9DK9+jRQ6qxXgEopF3/MeNnb8GqIIrGghJJ/MJJLuBzUn6p6dXYh9hP+TKDXskodWxhPQCFRRddVHiHYZ49GweMA63DgXFaZ6o20zrngA3POGAcMA4YB4wDxgHjgHHAOGAcMA4YB2rMAQMFasxw6w4OGBkHjAPGAeOAccA4YBwwDhgHjAPGAeNAPXDAQIF6eAvNPAabm3HAOGAcMA4YB4wDxoE64AC+XfB707179zoYjQ3BOGAcMA7UDwcMFKifd9HwI7EJGAeMA8YB44BxwDhgHKhXDow//vgy8cQTSxQV9zdQr3OwcRkHjAPGgWpwYJxqNGptNj0HbILGAeOAccA4YBwwDhgHjAPGAeOAccA40AQcMFDg/9m7E3hbq/EP4GsX/maZZ8qYKZWikG6IkLqmZIjbgBIaTCHcikpSREQjhRRFGUMqUymVogyhgZCQISLqf75vd+27znv33mfvffbeZ+9znvu5z1nrXe8af++71zOsZ613HjzEGEIgEAgEAoFAIBAIBAKBQCAQCAQCgUAg0A8CC8oo0A9AUSYQCAQCgUAgEAgEAoFAIBAIBAKBQCAQmK8IzFejwHx9XjGuQCAQGAACDpoqq3nHO96R3vnOd5ZJEQ8EAoFAYEEh8Ja3vCW9+93vHvqYP/GJT6SddtopXX311T219cc//rEqd/TRR/dUbtIzH3HEEdW4YZZpl112SW9961vTwQcfnH7729+uMMT//e9/K5TJZVuFX/ziF1eo48orr0z77LNPeu5zn5vWW2+9tNlmm6U3v/nN6de//vUKeSMhEAgEJh+BeWAUmPyHECMIBAKB0SBw1VVXpS222CJ97GMfm9bg4Ycfnghe0xLjIhAIBAKBBYTARz/60URhH/aQv/a1r6WDDjoo/fWvf+2pqWuuuaYqd8opp/RUbtIzU9jhVdL73//+SmF/zWtekx7wgAekHXbYIf3tb39rDvWGG26osCrLdIp/73vfa5a98cYbq7rvf//7V4aHL3/5y+l3v/tdOvnkk9N+++2XHvKQh4zEeNTsUEQCgUBgJAhMllFgJJBEI4FAIDBfETjjjDPS8ccfv8Lw3vjGN6Y3vOENK6RHQiAQCAQCgcBgEXj+85+f9txzz3SnO92pp4rvfOc7V+We97zn9VRuvmTmIfGzn/0soYsuuiidddZZ6bDDDkuU90MOOSQxEOSx3vzmN6/yyZvp2GOPrW4vWrRohXu77rprdc+f17/+9ZUx4H73u1866aST0r/+9a902WWXpd/85jeJ4eiud71r2n333SsvBfmDAoFAYH4gMLZGgfkBb4wiEAgEJgGBnXfeuXK1nIS+Rh8DgUAgEJhkBJ7znOekt7/97emOd7xjT8NgRFBu8eLFPZWbL5nve9/7Vqv0Vuof9rCHpcc+9rFp2223Teedd1569KMfnRgNPve5zzWHK19JlHw3fZKxTBe/y13u4lY67bTT0vvf//7k043qevazn938fOO9733v9MpXvjJ96UtfSiuttFKy7e7aa6+tysWfQCAQmHwExsEoMPkoxggCgXmIAPdDLvXbbLNNevKTn1y5JxIGyqGec845yarCvvvuWyZX8RNOOKG6x+WwSlj2x6qFvavPfOYzE+Fwr732Sn/605+W3Z0e/P73v6/c+rfaaqv01Kc+Nb32ta+tVjjKXPZVvuc97ymTqjh3R3077rjjqutPfvKT6eMf/3gVt/rh3q9+9avqeo899qhWoKqL4s8FF1xQGQue9rSnJatTVrfsay2yJFsS1HX66aenK664Iu0xVZexbbnllsnqDRzL/BEPBAKBQGAuEfj3v/+dvvCFL6RXvepVadNNN03mz3/+859tu8TN3xxv69XTn/70xLPqxz/+ccv8VpVPPPHEaq7eaKON0stf/vL09a9/fVpec7E5s5z3//73v6cDDjig2r+u3Pbbb18puVzZc2Fzr3Kf+tSnclIzNKdvt912SdmXvexl6cMf/nC6/vrrm/dFBjlX64tzaBgoNtlkkwqTH/3oR5qZRkuXLk22p1133XXpAx/4QLV9DebSr7nmmml5+72g5OM1yjOaCPulD33oQwnmnveaa67Zspq11loreT74nHMHWmaKxEAgEJg4BFYabY+jtUAgEJgEBBwARbiyCkHZvdnNbpYIeoQZghehwTisTrhPyT/mmGMkVURgfMlLXpK4K66//vpVmj+U8rXXXrsSjhz2xx2Ror3GGmukM888U5YmubfuuuumV7ziFUl9f/nLXxKB5ZGPfGT6yU9+0swn7aijjmpe5wihjZCZBVIKvhUV9y+++OL0la98Jf35z392WZ0xcOihh1bx/MfeSX2VTmC+5JJLKoVf+9/85jdztqoO7RibsRrPZZddlqyy2OfpkKZm5ogEAoFAIDCHCJi7X/ziFyfK7Fe/+tVkHna44KJFi9J//vOfFXrG8Gt+Znw1BzIoUEDXWWedat4sC1DCN99880qxZ0BmEP30pz+dGFW5nee89qibM7NSzCDwpCc9qTIic4lvNBoJP6Hc4zm5nPzKmbtzmjaMRbuf//znq1Vt28R23HHH9LjHPS5dfvnlOevA5mrz/4Mf/OD0rne9K1166aVJ//Eh/Er/mg1ORWCFNzAc7LzzztWqPp7JeIy/4GtT2Wb930GAzhb4+c9/3vI5dtOA5++5yfuiF71I0JYccMgzAQ5tM8WNQCAQmCgEhmcUmCgYorOBQCBQIrDbbrslghX3QIKgg52sgi9ZsqRa9SDkyG/fIuHtVre6VbWi/oc//CERGgmdBAwrQtkt8Ze//GW1MmU/IiVf/WeffXb6zne+U+1ZJAAqo16CKiGK0u5QKsr8D3/4w2oPJaG23P8ofzdkNYxbpLxOULYnk2Druk4MFITghz/84YkBQR+tAsHBSthLX/rSaYc6KX/kkUdWpzMzCDBaEEZXXXXVakVO/+UJCgQCgUBgLhFwmjwvrte97nXVKfKnnXZa+sUvfpH++9//prorOCWflxYDrXn43HPPTTn/Ix7xiGoPOyU0j4cBlxF27733TrywKL9WkldbbbVquwCPg5y3DD/zmc+k888/P1mddpL+qaeeWinwG264YWJA+Pa3v11mnxZ/3/veV82xPLPwKGUp6oy65l2G2WkFpi5mM1czTPB+mKomMQ7o93e/+92En3DDdzYNw4b7mfQf34IfrPE1xg6n+LcyaOdyvYYPetCDkq8O8Mbrtaz8vOt4NNjWcfe7311SUCAQCCwgBAZiFFhAeMVQA4F5jwBhjtBEmecB0Gg0qjEzAFCsV1555WrFvEqc+rP66qsnghlBx0oIZfrCCy+sDiJaNLX6NJWl+m+bAIOBLQBWNKrEqT9WcyjZhCWrSlNJyUnIFGsCnW0D0pA9lPp0u9vdLtlaIG0YZLWfcGV1yyFOuY2nPOUp6U1velPV9kc+8pGcXIX3uc99Kg8IoYR73vOeiUAtbizCoEAgEAgE5hIBbvX3uMc9qi0D9oXrCwXwgx/8oOg0YtT96U9/mriJb7zxxs17yr/tbW+r3PMZGdxgLGUgZmg1R0tD+Aj+IJ2SLq1OlFFp+iFEt7jFLRIvLdsc2q1GU7StuGvDF2UYp5VFtjiYrxkV6kq6OZorv1DeXuZq7TBcMCyX/I3hg1eAPi1dulS10wgv4XYvES/1SUHxQfIGBzGqEy8V9ko8BJV54AMfKAgKBAKBBYbASj2ON7IHAoHAPEeAmz2XTAq4VRdCVSaupFYjrMRwmcxQUN4JjrYLHHjggWmDDTaoDiHK94VWVIQEv1xfDnkPuMeYIMzCI7dT1yUxLnz2s59NBNMyfZBxgpo+2Q5Qr3fx4sVVEpyqyLI/Vs4Ie8suqyAf7MTzoUqIP4FAIBAIzBEClD4K7ROf+MR0y1veclovnvCEJ6RVVlllWlqes81tea7OIeWXUSHP2eZDhtTSeJArc3aMcqUSne8Jn/WsZyVb1Jxf48wCHl1WuxkDNttss9RurseHeDfY6sZQrK6ShjFX4w3asF1BWBJcKeawKNNvOYX1Qx/60DIpDYM3ZEO5AxmnNdblRTYGeEe6LBLZAoFAYB4hsFL7scSdQCAQWIgI2C5g3IQ4wlqdCGvu8ygQZuJFIE5YtFLEo8B1plyv1fN6nbYpyGeLgTALVXklR9qoiPskN1QnPbdqM6fXx3+3u91thexWuyQysgiDAoFAIBCYKwSyQnuve92rZRfq822es83t9TnbZwXNa4OYs+2tt5edB5ktWlbReaAhXmstOzuVmFfE85w8lTTtf04f5FzdTZu2TOAjuTMMzI3GTR53OW0YvCE/CzjmdnoJGYUYBnhuzHTWga0lvdQdeQOBQGD8EbjJKDD+/YweBgKBwIgQyCsuFHv76NuR/ZNll/Kpx1Z8uG6WQpF86iV0tKtPej6k6ba3va0iK+zbrxJb/GGIqCe3279az1e/9ikmbqjtymejSWaCAAAQAElEQVRhyYnPZdlGY7rQ516rfkkPCgQCgUBg1Ahwk9dmu7mt1Zwtv0NTzc+tyH55eXqds5UpiVcYI4SzY5xJ4OBBCjjvgYMOOqjM2ozjJy7ajWcYc3U3beKB+Ii+oUZj+LyBIcLZD/hs3bijD90SA4282QNEvBU5nJIHRz5fqFWeSAsEAoExR6DWvTAK1ACJy0BgoSOQlX2HBjp1uk5W0Z0fQPDJWB122GHJyc8OGLTH04qUPZf5vlC9DmlyiFG9zjvc4Q7VwVTyIVsUhOUhVq6RPZ22JzjkyTXXTPtZxUsiYJbX3cYbjUbSvoMCWwmbWViyh7TbOiNfIBAIBAJzjQB3fHOt+bneF3Ooub1MN2e75qJfn7O5wzuENR8Oa86Ut9WcbRuCMwVsC5CnTowNPjNo+wGllEHaIYVf/OIXq6y2pVWR2h/jkZTnZPGScvog5+pObTJCcL13wGyjsaIhoOzboOO77bZb4rnhM5O2dfRbP2OMsj79WDcSSUfeB8YAMoIvEEkLCgQCgfFGoJvehVGgG5QiTyCwgBBw8B+3y3zIVDl0n4JyarKVnLx/nvLN3dNZAQ6rchAfwU6cK2gu/4IXvKCKZo+C6mLqD0HG5498us9Kx1RS0gajgxUip2JLQ4RGB1v5GgA3R2naJYj5ooFrRFBtdapzdtmcaY+/vnKPNE71ZZJmhcQ191lhUCAQCAQCk4BAo9FITvR3Nkw5N+u7T+o5CFY8kznZNjDzYF1BfOc735m23HLL6tOu8lMOKd8UeKvW0jLxAOMBkFfZc3oOzek+YYvn5DShQ14bjUZqt0eegdlhgj/4wQ+a/VAO6YODCnl9Oe9G2iAIb1APPlDyJmk+UShtlLyBMYch3iGPvATwYn3pl175yldWRnHviK9J4LllXQwCtgA6z8EXgtZcc83ydsQDgUBg7hHouwdhFOgbuigYCMxPBG5961snKzoU68c//vFp//33rz4LZfXGZwPdd5Ky0RMYCAiUbCcvE94o8/aBCrfeeuv0pz/9SdbkMELGAisMDmk6/vjjE8WdwPb9738/bb/99tUBhTI/7GEPqz53RZB88pOfnHyV4PDDD68EWsKIz2mtuuqqsqYXvvCF1WeYHGalr06VXrRoUbrqqqtSozF9tYYBQSH933nnnVNpSJCeyfYHq2Q+a+XzU07AJnQRqJ1kTQhzIFbOH2EgEAgEApOAAEWZsm2+9AlAZ8f4jJ6vCdS3RFH0d9xxx+QLBFb6jzjiiHTiiScmyqK5lvcAI7BxM7hS/hkP1ltvvWSOte3A/MwLYN11102Mv/LWyXzOyOxTszvttFP1iUF922KLLao53BaCepl8zXDMW8x4GCoYrg8++OCkPTyMBxvjQc4/29BhgvigzxDiB/iCNvBB499kk01Sq68PzLZd5WGtfoQv4lHGpj3bN4y93XkRyndDnmM+yNfYnIfgOfiCBJ7JU8I74HO9+HI3dUaeQCAQGBYCg603jAKDxTNqCwTmBQJWiHx5gBJNQXbIFCGN0v+Zz3wmWREyUCsjZ555ZiXs5ZOepRMWfZrQag13RmlWnM4444xEyLRKRdBgNLANgNDnMCv5MhGwfMnAoYO2JWy33Xbp3HPPTTwNCKQ5H0GJUMndX1+5PTJc2OvaaEw3ChAUlyxZkv74xz9Wnw887bTTcjXTQvtBKf+EPytfxibuiwuEo3ww4rRCcREIBAKBwJgj4EBUh/pxE1+6dGkyt9v+ZZWewlfvPgMxJdvJ9ttuu23CG+SnEJsbKfO5jHnya1/7WpLGyGvF/LjjjktW108++eRkXs15y5DxmZEYf6Hkq4cR2qo0g6w2y/xlnHLqazWMFr5Mw8jMuOCwPWWdVVDmH0SccQS/YlRmDGCQwEvwOgpzu3HOtm0eEfBFtlcwxj/qUY+qvvTDcOMLErNtQ3nGIPzPeBhWPBuGIwZ3be6+++6JIb+d54c6ggKBQGDACIygujAKjADkaCIQmEQEFi1alOwZtU+SKyHXfoIH1/48HiszDtOzEpTTckjgdM+qQ06zEsVNlbBn76k9n/bt8wLg+pjzCRuNRrIyoX2nRxPAnEmw5557VkKnPMjKBmGFwm5vqvzf+MY30l3ucpfKg8DKmHzIXkteDPI6YZmBQrrtB/X9tAQeXg2EIG3bP6m/BE5lMjkh2zjlzWk55GXg3qtf/eqcFGEgEAgEAnOKgE8MWlXmxXXRRRclZ8RQ3CnX+esyuYONRiOZv/LnDHlvKceYy6Mr58uhTxI6BZ+nFiOu+d2KMgNzzsMAYV7MW8Ck8x7TtrkYv9HGr3/962ormfuI0UK5o48+2mWTzMG2lJnXnV+ABzAK17255FN+tnM1AzdjNH6kj7bQ4R+85XgtNDs2FWFMueyyy6Zi0//z1tAXRpPpd1a8OuGEE5K8JfHSY3Q/++yzE8+1bjwEfGJXHfmshhVbWp7ik4nGA0veeYz/DO+eJ+PL7W9/++WZIxYIBAIDRWCuKgujwFwhH+0GAhOCAOX4MY95TLr3ve9duXIOotuUcwLeIx/5yGRVv1OdjUaj8kwgyDIAtMvrHg+FunGhVX4rOU5ObjSmexK0ymvVS9vcKFvdj7RAIBAIBCYRAUZair35uJv+UzxtAbOiP1N+8+Vaa62VelEeG41G0gZ+000b9T4Yj1XumXhKvVy/141GI9nGVho3+q1rXMvhfwwY+ayhRmNmnjmuY4l+BQJjiMBYdSmMAmP1OKIzgUAgEAgEAoFAIBAIBAKBQCAQCAQC8weB8R9JGAXG/xlFDwOBQCAQCAQCgUAgEAgEAoFAIBAIBMYdgQntXxgFJvTBRbcDgUAgEAgEAoFAIBAIBAKBQCAQCATmBoH51GoYBcbsad71Drcdsx5FdwKBQCAQCAQCgUAgEAgEAoFAIBBYsAjM+4GHUWDeP+IYYCAQCAQCgUAgEAgEAoFAIBAIBAKDRWCl291xsBWORW0LsxNhFFiYzz1GHQgEAoFAIBAIBAKBQCAQCAQCgcDCRSBG3kQgjAJNKCISCAQCgUAgEAgEAoFAIBAIBAKBQCAw3xCI8XRGIIwCnfGJu4FAIBAIBAKBQCAQCAQCgUAgEAgEApOBQPSyDwTCKNAHaFEkEAgEAoFAIBAIBAKBQCAQCAQCgUBgLhGItgeFQBgFBoVk1BMIBAKBQCAQCAQCgUAgEAgEAoFAIDB4BKLGoSIQRoGhwhuVBwKBQCAQCAQCgUAgEAgEAoFAIBAIdItA5Bs9AmEUGD3m0WIgEAgEAoFAIBAIBAKBQCAQCAQCk43AjY3Z9j/KjwkCYRQYkwcR3QgEAoFAIBAIBAKBQCAQCAQCgUBgfiIQoxpnBMIoMGZP5wH3uNOY9Si6EwgEAoFAIDDpCKx673tO+hCi/4FAIBAIBAJjhsDKd7pX6x5F6sQhEEaBMXtkH9ph8/TazZ4wZr2K7gQC44fAn/70p/Sb3/xm/DoWPQoExhCBQ/Z4U3rDti8ew55FlwKB8ULgRz/6Ufra1742Xp2K3gQCY4rA7bbcPd16423GtHfRrV4QCKNAL2hF3kAgEBgLBBgE0D//+c8wDIzFE4lOBAKBQCAw+QgwCJx//vnp97//fRgGJv9xxggGj0DUOI8RCKPAPH64MbRAYD4i8K9//SsxCOSxhWEgIxFhIBAIBAKBQL8IMAQwCOTyrsNjIKMR4cJDIEa80BAIo8BCe+Ix3kBgghFgELjiiitWGAHDQGkoWCFDJAQCgUAgEAgEAm0QaGcAkM57oE2xSA4E5gcCMYpAYAqBMApMgRD/A4FAYDIQ6KT4u4cmYyTRy0AgEAgEAoFxQaCT4s97oNP9cRlD9CMQ6AaByBMItEMgjALtkIn0QCAQGCsEHCrII6BTpxgFUKc8cS8QCAQCgUAgEMgI2CLAIyBftwrDMNAKlUgbcwSie4FATwiEUaAnuCJzIBAIzAUCFP2ZDAK5X/KifB1hIBAIBAKBQCDQCgEeADMZBHK5MAxkJCIcPwSiR4HA7BEIo8DsMYwaAoFAYIgIUPBRL03I7/yBXspE3kAgEAgEAoGFgwCDAEW/lxHL360RoZd6I28g0DUCkTEQGBICYRQYErBRbSAQCMweAco96qcmBxKGYaAf5KJMIBAIBALzG4F+DAIZkW62G+S8EQYCs0EgygYCo0QgjAKjRDvaCgQCga4RYAxAXRdokTEMAy1AiaRAIBAIBBYwArMxCGTYwjCQkYhwQAhENYHAnCMQRoE5fwTRgUAgEKgjwBiA6un9XA+qnn7ajjKBQCAQCAQC44PAIAwCeTTqyvEIA4HuEYicgcB4IhBGgfF8LtGrQGDBIsDlf5CKvAMKfblgwQIaAw8EAoFAIBBIzgJwJsCgoFAfj4FB1Rf1zEMEYkiBwAQhEEaBCXpY0dVAYL4jwCDA5X/Q42QYGKShYdD9i/oCgUAgEAgEhofAsBT4YdU7PCSi5mEhEPUGApOOQBgFJv0JRv8DgXmEwDAMAhkeRgGUryMMBAKBQCAQWBgIDHNFn2EgthIsjPdo2SgjCATmJQJhFJiXjzUGFQhMHgKjcPFnFECTh070OBAIBAKBQKAfBIZpEMj9sS0hDAMZjfkUxlgCgYWDQBgFFs6zjpEGAmOLAIMAF/9RdJBRAI2irWgjEAgEAoFAYO4QYBCwkj+KHoRhYBQoD7GNqDoQWOAIhFFggb8AMfxAYK4RoKCPyiCQx6pNlK8jDAQCgUAgEJhfCFi5H5VBICMXhoGMxHiH0btAIBBYEYEwCqyISaQEAoHAiBCgmKMRNTetGe062HBaYlwEAoFAIBAITDwCDAIU9LkYiHZHbYyYi3FOSJvRzUAgEOgSgTAKdAlUZAsEAoHBIkApR4OttbfaHGwYhoHeMIvcgUAgEAiMMwJzaRDIuIxy20JuM8JAIBAIBGaDQFdGge/99LKE9v/CGSkoMFgo74B3vtWPixJJmQ36U+oXA2cIKNsK31Gn6UdQ/88yY9fuue390U+koMAg3oHl78C3zzm/5c/F6jKFNuhHqV8MKONW6lsCPOJEfel3HFFu+TvQ8rFNJf7zlMNSUGAQ78Dyd+A/vzx36pfR//+ORgHK39223istfs8nKtrv86enoMBgobwD3/vZZS1/Wfa/Z0Uowv6USRi2BHcOEvUlnmN/z7HErd2je/chR6WgwCDegeXvwLd/eEHLn8sf/vCHRKENOr9vHBhWWoI7R4nnn39+32M5P8pW2LV7dP/46kdSUGAQ78Dyd+C/wzAKWCF9znuOrgwA7X6MkR4IBAKBQCAQCAQCgUAgEAgEAoHAABCIKgKBQGAOEVjBU4B3AM+A7/700jnsVjQdCAQCgUAgEAgEAoFAIBAIBALzD4EYUSAQCIwbAisYBbiGj1snoz+BQCAQCAQCgUAgEAgEAoFAIDBhCER3A4FAYCIQmGYU4CUwEb2OTgYCgUAgEAgEAoFAIBAIBAKBwNggEB0JBAKByUWgaRRwjkB4CUzuAEBRMAAAEABJREFUg4yeBwKBQCAQCAQCgUAgEAgEAiNAIJoIBAKBeYbAcqNAm5PW59l4YziBQCAQCAQCgUAgEAgEAoFAINAVApEpEAgEFgICTaPAQhhsjDEQCAQCgUAgEAgEAoFAIBAIBFogEEmBQCCwYBFoGgVi68CCfQdi4IFAIBAIBAKBQCAQCAQCCwiBGGogEAgEAiUCTaNAmRjxQCAQCAQCgUAgEAgEAoFAIBCYeARiAIFAIBAIzIhA0yjwhNVXnTFzZAgEAoFAIBAIBAKBQCAQCAQCgXFEIPoUCAQCgUB/CDSNAv0Vj1KBQCAQCAQCgUAgEAgEAoFAIDBSBKKxQCAQCAQGiEDTKPDGzZ80wGqjqkAgEAgEAoFAIBAIBAKBQCAQmC0CUT4QCAQCgWEj0DQKPH71+6fYQjBsuKP+QCAQCAQCgUAgEAgEAoFAoCUCkRgIBAKBwJwgsFLZangLlGhEPBAIBAKBQCAQCAQCgUAgEBgGAlFnIBAIBALjg8A0owBvgTct3nB8ehc9CQQCgUAgEAgEAoFAIBAIBCYZgeh7IBAIBAJjjsA0o4C+vmHzJ6UwDEAiKBAIBAKBQCAQCAQCgUAgEOgegcgZCAQCgcAkIrCCUcAgwjAAhaBAIBAIBAKBQCAQCAQCgUCgJQKRGAgEAoHAvEGgpVHA6BgGrjry7ZXXAM+BOIQQKkGBQCAQCAQCgUAgEAgEAgsLgRhtIBAIBALzG4G2RoE8bMYBdOKbt0qMBEFvb4vD59/8sgzbnIaMOPGc2j+nbrHx3rd6kHe+853TQx7ykKDAIN6B4h1Ibf5de96pKWh2GLxt+yVt0B19cjzL2T1L+L31Va1lhUc/+tHp5S9/edBcYxDtj9U7mNr8u9sBP0xBs8Pgtpvs0Abd0SfHs5zds4TfrZ+23awe3IxGgVnVvsAKO6hxrg0DPDraKbML7HHEcAOBQCAQmBcIUCLHwTDw1UMPmBd4xiACgYxAhIHAQkaAEjkOhoFVdjx0IT+GsRl7GAUG/CgYBt40h19w4NEx4CFFdYFAIBAIBAJzjMBcGwYYBDZYZ805RiGaDwT6RiAKBgKBQAsE5towwCBwiweu3aJnkTRqBMIoMATErdTPhWFgrr0UhgBlVBkIBAKBQCCwDAGGgSfNgWLOSyEMAsseQgQTgEB0MRAIBHpBYK4MA7wUwiDQy5Mabt4wCgwJ31EbBhgEeCkMaThRbSAQCAQCgcAYIPCVQw9IozQMMAgwRozB0KMLgcCKCERKIBAIDAQBhoFbPPCxA6mrm0oYBLTZTd7IMxoEwigwRJxHZRjglRAGgSE+yKg6EAgEAoExQmBUhoEwCIzRQ4+upIAgEAgEhovAKjt+JI3CMBAGgeE+x35rD6NAv8h1WY5hwOF/XWbvORuDgDZ6LhgFAoFAIBAIBCYWgWGv3odBYGJfjfnQ8RhDIBAIzBECt97kFUNt+bab7JDCQ2CoEPddeRgF+oau+4IO/xuGYSAMAt0/g8gZCAQCgcB8QsAef4f/DWNMYRAYBqpRZ2sEIjUQCATGCQF7/B3+N4w+hUFgGKgOrs4wCgwOy441vXHzJ3W83+vNMAj0iljkDwQCgUBgfiEwDMOA8wqG7YUwv55CjKZrBCJjIBAITAQCwzAM2JYQHgLj/fjDKDCi52PPv8MAB9FcGAQGgWLUEQgEAoHA5CPAMGBlfxAjYRBwXsEg6oo6FjYCMfpAIBCYbAQYBqzsD2IUDALOKxhEXVHH8BAIo8DwsF2h5kEYBmxDiDMEVoA2EgKBQCAQWLAIWNkfhGFAPQsWxBh4vwhEuUAgEJinCFjZH4Rh4NZDPqdgnsI/8mGFUWDEkDMMWOnvp1kGAecT9FM2ygQCgUAgEAjMXwQo9LMxDDifgNfB/EUoRjZ7BKKGQCAQWGgIzNYw4HwCXgcLDbdJHG8YBebgqVnp78cwEAaBOXhY0WQgEAgEAhOCQL+GAcaEMAhMyEMeVTejnUAgEAgEliHQr2HgtpvskMIgsAzECQjCKDBHD6lXw8CgziOYo+FGs4FAIBAIBAIjQIBhwNkA3TbFIKBMt/kj3/xDIEYUCAQCgcBMCDAMOBtgpnz5PoOAMvk6wvFHIIwCc/iMujUMMAjYdjCHXY2mA4FAIBAIBCYEAYcFdmMYCIPAhDzQwXUzagoEAoFAoG8EHBbYjWEgDAJ9QzynBcMoMKfwp8Qw4KyAdt2wzSAMAu3QifRAIBAIBAKBVgjMZBgIg0Ar1OZTWowlEAgEAoHBIzCTYSAMAoPHfFQ1hlFgVEh3aMdZAa0MAwwCjAYdisatQCAQCAQCgUCgJQLttgWEQaAlXJObGD0PBAKBQGCECNy6zdcEbrvJDim2DIzwQQy4qTAKDBjQfqurGwbCINAvklEuEAgEAoFAAAIOD/RVAfFMthW0MxbkPBGOLwLRs0AgEAgE5hoBhwf6qkDZD9sKwiBQIjJ58TAKjNEze+PmT6p6EwaBCob4EwgEAoFAIDBLBErDAIOAbQWzrDKKjwaBaCUQCAQCgbFFoDQMMAjYVjC2nY2OdYVAGAW6gmk0mZwdcNWRb6/OGRhNi9FKIDC5CFx33XXp2muvTTfeeOPkDiJ6HgiMAAGGAVsGwiAwArD7aiIKjRMCV199dfrtb3+bbrjhhnHqVvQlEBg7BBgGbBkIg8DYPZq+OhRGgb5gi0KBQCAw1whcf/316corr0yNRmOuuxLtBwJjj0BsGRiTRxTdGHsE/vGPf6RTTz01rbRSiMhj/7Cig3OOQGwZmPNHMLAOxIw3MCijokAgEAgEAoFAIBAIBG5CIP4GAoFAIBAIBAKTgkAYBSblSUU/A4FAIBAIBAKBQGAcEYg+BQKBQCAQCAQCE41AGAUm+vFF5wOBQCAQCAQCgUBgdAhES4FAIBAIBAKBwPxDIIwC8++ZxogCgUAgEAgEAoFAYLYIRPlAIBAIBAKBQGCBIBBGgQXyoGOYgUAgEAgEAoFAINAagUgNBAKBQCAQCAQWMgJhFFjITz/GHggEAoFAIBAILCwEYrSBQCAQCAQCgUAgUEMgjAI1QOIyEAgEAoFAIBAIBOYDAjGGQCAQCAQCgUAgEOgGgTAKdINS5AkEAoFAIBAIBAKB8UUgehYIBAKBQCAQCAQCfSMQRoG+oYuCgUAgEAgEAoFAIDBqBKK9QCAQCAQCgUAgEBgsAmEUGCyeUVsgEAgEAoFAIBAIDAaBqCUQCAQCgUAgEAgERoBAGAVGAHI0EQgEAoFAIBAIBAKdEIh7gUAgEAgEAoFAIDBXCIRRYK6Qj3YDgUAgEAgEAoGFiECMORAIBAKBQCAQCATGCoEwCozV44jOBAKBQCAQCAQC8weBGEkgEAgEAoFAIBAIjD8CYRQY/2cUPQwEAoFAIBAIBMYdgehfIBAIBAKBQCAQCEwoAmEUmNAHF90OBAKBQGA+I/CPf/xjPg9vwscW3Q8EAoFAIBAIBAKB+YTA0IwCJ5xwQlpjjTW6pq997WtNXN/4xjc2y5188skzpjczDCjSrv0BVd91Nb/97W/TFVdc0XX+XjM+/elPb+JcPqtHP/rRad11101PecpT0q677pp+8pOfrFD1r371q2bZZz7zmdPuL1q0qHnvd7/73bR7g77YZZddmm195StfGXT1UV8gEAiMCIF//vOfaenSpempT31quutd75pud7vbVeGGG26YPvaxj6Ubb7xxRD0Z32b+9a9/pR/96Ed9d3DbbbdtzpdPfOIT03//+9+Z6+ozR6u+XnLJJc32N9100z5rHlyxbnj9mWeeObgGo6ZAIBAYOALnnntuc15Zb731Bl7/OFXYal5t179Ocnq7MrNNr8+Xcz3n06NK/aaM03Ue//jHJ7oQXeIHP/jBbIc/rby2Z6vDtXuG7dKndaCPi6EZBf785z+nCy+8sGv661//2uz+5Zdf3iz3l7/8Zcb0ZoYBRdq1P6DqZ6zm3//+d9p7773TQx/60PTTn/50xvz9ZlB3q2d0wQUXpHPOOSedeuqp6cADD0yPetSj0ic+8YlpzehjLque8ubFF1/cfH7XX399eWvg8UsvvbTZ1jXXXDPw+qPCQCAQGD4CZ599dlprrbXSHnvskb75zW+mq6++umpUeMYZZ6RXvepVCfO+7LLLqvSF+Of4449PD3vYw9Jxxx3X1/AJJ0cddVRzvvzud7+bSqO7SgdF7fp63XXXNdv/2c9+Nqjm+q6nE6+naDCcvP71r++7/igYCAQCw0fg2muvbc4rP/7xj4ff4By10G5ebdedTnJ6uzL9prebL+d6zv/Pf/7TfDeyzpJDus73v//9dMopp6T3v//9aYMNNkiHH354vxA0y8F9UDqcunJ/S12rXXqzE31GhmYUKPvzf//3f+nBD35wR7rtbW9bFmkZX2mlldLKK69cUaPRaJlnEImjaqddX5/znOekt73tbclE1y7PoNNXW221tOaaayaWM0YAz6vRaFTNWKGzwsTiVyXM8Cc/I+EMWeN2IBAILHAELrroovSEJzwh/fznP6+QuMUtbpHWWWedymNAvEqc+mMF4rnPfW7CDKcuF9T//fbbL22xxRZpNkaRI488Mt1www0Ztyr86Ec/WoWD/DOIvg6yP53qasfrCYq85RhOOpWPe4FAIBAIjAKBfudVcnimYfVzkubLBzzgAZUu+qAHPSg98IEPTPe+972bsDAgbLfddumss85Ks/k3aB0uPz/hbPrVTdmVusk02zyPeMQjKoGP0NeO6i7ordr89Kc/Xbk7cnncaqutWmUZSNqo2mnX2dJrol2eQacfcMAB6bzzzkvnn39+Yj3znAjr+QcD83KLR6f2r7zyyuZzut/97tcpa9wLBAKBBY7ATjvtlLJHEYMkqzjPga9//evpqquuSm94wxuaCFmN+MxnPtO8XiiR2fGEVG29YBTIeDUaNxl8YXzppZfm5IGEs+3rQDrRZSXteL3zLOoGlC6rjGyBQCAQCAwcgX7mVZ5lZHf0i1/8YuB9yhVO0nz5wx/+sNJH4WGh8ze/+U363ve+l+5yl7vk4aSvfvWrzXg/kX6eVbt2RvUMc/sjMQrkxmYbnnTSSYm1DJX73L/0pS81021bsI/9oIMOSi9+8YvTm9/85nTaaac1m1buXe96V9pyyy3Tvvvu23J/Zrt2Pv/5zzfb8dD/9Kc/pcMOOyxtvfXW6ZWvfGXldpKF22aDyyLcPt7+9rcnxozNNtusCt/97nenX//618typKQ+Y7MPJSdyFZWmfE4TepG5u7z85S9P22yzTfrABz6QfvnLX7o1MFp99dXTM57xjGZ95VaOZmKLyMEHH9zE6W9/+1szx2zwU8+HPvShCutXvOIV1XaG//3vf826IxIIBAKTh8AXv/jF9I1vfKPqOCv4Zz/72fSQhzykuvbnDne4Q7WV6uEPf7jLakuVOb66KP50Ox8yeJpPkb35vA5sjTKnbL/99ulTn/pUczWdQeKDH/xgxUd222231DRCfQQAABAASURBVMko2m37f/zjH5tz45e//OVqBLZHvOMd76g8Ad75zndWRtnqxrI/5j0rMcsuE48J/afQ57Rm2CYC46z8w/JZz3pWlZPie+ihh1bx+h/GXe0gGNXvH3HEEc2x/OEPf6hu99PXb3/72+mtb31reuELX5jwZtvPqspa/MFfjf8973lPhReDkb45j6Ke3Z5LfUfasFXgTW96U7IS5D0jKLfi9dLw3VwffqwObqXf+c53mmP+3Oc+l7M0Q3W+973vbeYZpbdfsxMRCQQCgQqBXudb80v5+221JZVSaT5AZNqqoWV/uuUDy7InC2/mfnL84sWLKz2CXK/fOY+wn3lVuaxT6KtzeaQh9UtD3fIh5VpRp/myVX5p5uNu53x44wv4w+te97pKz6J/qWdQtP766ydeiLm+008/PUebobMc8Lwdd9yx0h/pb3VPsow3npEL4iVwrutwtkk6x8C4PHt63CGHHJLoOrmsMNepjvIZujcMmiijwCc/+clKyafoe1EyIMcee2wznZC59tprJ6tPVgEA+eQnPzl5mK65pVLOrTa95S1vSY973OOSFzTXJWzXzsc//vFmO14G7oWEyaOOOioRrAgb9qTUBYH3ve991V5QL/YxxxxT7eMU7r777klfTzvtNM0mgpWxXVbsm2V0kEaArTJN/SGMOCzDC0UgsgK08847VwetEFymsgzkvwmSwJorKw0EOa1VuOeeezZxKifVfvE7//zzK5xe+9rXJljDxCS68cYbN/cet+pHpAUCgcB4I+DcktzDzTfffJpBIKff/OY3Tw4RNT9irOa6fE/Yy3zIA8F8igh0ixYtSuYScwpX+pe85CXJVilzDl5BCME3KKGbbLJJpexps6Re2qdoaxvhWwQjBynutddeyX5Rcye+wjiR25D2rW99K19WZ70o7zDfZuIMEePLWRimjTlf442U2XydQ0YE7SBG55yeQ3zNPZSFoF76yiCBBxr/PvvsU52VgDfD/Qtf+EJuphkSuBmqCXCMNPDSB2Ox7a3Ox70r+oY8Q4dJEfjxSO+QrQOteD3eXOKFH6tj//33T41Go8nb8H48stnBqYjnxPAgP958m9vcZio1/gcCgcBcINDrfJt5jd8vMkfX+81w6x6isOX7vfABZZYuXVqd12XuN1eY8+gR5Hqu7eWCYS/zqrozMWzrJ7IImtN7xSWXaxV2mi/r+XuZ8+VlMKGj4QuUa0Z6etaaa66ZSkN5vZ1+rsvFhtJrQF3OqcCXyQYf/vCHE/0R73LmDF3T4oJ8ZBRY4xmuEV4iLetweC0DhAOVGYCMy7Onx+2www5JnXidsqjdM3RvGDQSowDhgiDSjggEgxrckiVLEosOywu3C/XaE4+B8xy41a1ulZ797GcnoXse5vOe97zU66qzh8ojgaLsZVEXsheF0CGOuLtazRC/2c1ulghAPAXyS0dpftnLXuZ2IqQQIoRVwtSfW97ylkmaslOX1YEZLEt51d5ZAF4i96yW+MGwQLnuhY4++ujESIIINa9+9avT/e9//8rNRj1wZcAQHwR1i58fEK+O7AWxyiqrJM/LmAlgVm4G0Z+oIxAIBEaPABe+3OojH/nIHF0htA3pbne72wrpthr0Ox/uscceiXHZV1bMy7lyhkeKKQbPEHDPe94z30qUUd4GOWE27RMG8D77Gs2H5jb12tfocDuh61vf+taJsCqOxPEEZ/W4nokIrgwg8uEtDB944B3veEdJ6fe//32y2lNdzPLPrW996677aiXfagvPhec///nVlyY0j49R2kuejNcy7isjj/HjR7e//e1dJm6ghCzCW5VQ+2OFhZEgJ7/oRS+q+G2+LkM8F+U0mGmPzODsC+ftuIcH88AQz8QDIcfJOzkeYSAQCMwtAt3Otw61zT2lrOe40FyZXct9HWfLLbeU3LNcblER/6H43uc+96k8YMneDtNVodVixk73Xfcyr8rfC3WLS7s6zZUo3y/ny5yWQ/N3t3M+Iz2DSeYDvirBWKIuOiXeXCry0rshCjuDi77gCb44wEBz4oknNouX29npk76Uw8tcBt6L9D582DWvdAu+4nnsQtcINvhH1uEYNnJb+Bd9cNHU4oRnLD+ZwmKB+FzQSIwCHhxrUjvqxQ1yJpAIVoQ2oHvYPm2ljB8XRZy7DgHIy8Bd1T2uNF4Q8W6JQObhcb3RDqEml+XemONevo022ijd+c53TgRAXgGsQvqYXxynQhMwVl999WRvjpc/l9dXaRRhaayI+UfC+kSotkJiC4X7iFVN2AtZdWJJRFZTPvKRjySCmDr8IFixGo2b9qFKmy11ix/vgnxKtWfp3AOClzHzApltP6J8IBAIzB0C5q/c+n3ve98c7TqczXzIWGwuodiZlwkZuWH8gtcZDwW8wVkH7inD8CuOZtM+g7SVAQqtVSZ9WHnllVWbCJ8EHxdCn84TR+J4glUG1zMRg282MDB+wNn8u+UygVZ5SrNwttRrXxmfKfJW/fFN/dIH9eR53zWc8rvCOIBnMujgUZk3GqOVHM9OmZLwzBe84AWJRwNjsnbL+2WcIoDv5jT8GN4M/NJsFxQiK0ZCpA1yhzje/tKXvlQ0KBAIBMYAgW7nW4fEZQO01eg87xgCzyK/c3GLjJQ98V75gDlIOURe563ltHqLXAyWyBYvupM85kPzvjgSNyd1ywOUaUfd4tKu/EzzZb2cuXemOd/2ALjksnixZ4En0HukM5zw3hLvhXgZOGyQMd7CMU8EBpr8XBkEGGRynbzRGBJc0+XwHnqfZ0LflM6TjvG9Gx3u73//e7KQ7HB9Xz2gD3of6FjqQtmrQHzUNBKjwCgHhWFbVdIm0D10cWQvyD3ucQ/RJA+qLqb+eAmngq7/E1Ky1UohKz1C5DNaQkRg4SIrLXsM+ESHH8Wd7nQnWSrygleRDn+UU1fOog/ZsOFF5jXgnh+PF1Z8EOQHaRwEsEHUpw597wY/Y5EfveY1r0mrrrqqaEU777xzypN3lRB/AoFAYKIQ6HXeLQc32/nQSjMrfa7zsY99bI6mJz3pScn2JAks/TwHxFHu82zbX2mllRIDrDoRF3iCijjCM4SzJe6LuY7slea6FHwIJwzY0kdJhLHcHkEtr8JLI2QJCWuEJnGrMwTo7OVgdYXLrRUX9xnoHZIrXhI+SXC7173ulazKZF5Z5uk2DkNKv/wEOsYIcVvtLDCIM1zkQ3pdBwUCgcDcIuA3281864s39IjcW0pvjlukynHniIn3wwdKuZVcyxDBLZ0BwtYxRPm1kKmNYVK3uAyqD93M+Qzvef7HFxhItK+vdAdxBCfhbAl/4KVhFf/kk0+utonlOhkAcnzJkiWJh4hrvIRHujhFXznxmciWCHxKGQYJ+Rl/LAyLo270QfmGQSMxCqy11lrJD6cddTrAqddBc3kvy3D5y9elwCWN0UCICB7CbqleF5eSXNY4c1xo5YK7EJcQFiICzNOe9rRp++HlkbcTWVGyUiWPicuPgzEgU9muFRH5uiVbHpRBDAoOe7Lq8dCHPrSqgicBy2h1MYA/3eKXtw1oMq/WiSMCYu6f66BAIBCYLARKJdDc00vvZzsfzpZX9NJ+q7ExUOeVpjzuTnwk5+klJFxlt8dGo5FWWWWV6kwCxmVn32ShE18pjQfdtNENz+pUD/6b28/5Sjzyfn0r9FlIIiDWnxsDgdWfXAcPvhzPIe+IchtITu8npOzj38ra/segIs7bQYgYDoRBgUAgMB4I9DLf2m7caNzkGcvTyvxoHspzy2Me85jqnCsj64cPMEbbNqC8ec72LouW5Fk88W1ve1syt7g/bOoFl9n2pds5vzTs2k6WdRwhvSd7lDkbwbPppV8HHnhgdaBtnsOV1S/eFww0DA/SMpV9wSP1IZMzinK+Vjw+36uHxsQbzVYVzxwfdNBxzjdb3prr6ScciVGg0WgkD7EdUe766XyrMqURwP3yAVtVkJapvJfTug3rdbUbA2uQA47sgbd94JxzzkmEmC222KLaUpDb66Yv9rjm/FYnuLaWVK7k9/KCqpPXAssXInRxg1m8ePG0vaZc9h16If9sqRf8clvenxzPIQNLjkcYCAQCk4UAhph7TLjK8XrIvd6hf1aMnTPi/mznw9nyijbtV4cimpdnmo/rc6AxteMj7vVDhJhcjvBkRcoZCplKbwQr8BnbXCaHrdK5neb7/YR3v/vdVyhmxaaeWK6gMGrU77sujSl5hUl6JlvPcnwQYbmSaE8uIY4RXd0EzNJzUFpQIBAIzC0Cvcy3Fq2cUaLHXMfJvowDrhGjgRD1wwco4s7+4oFbn/PwQVsJeDlTerUxTOoFl9n2o9s5v8TUVjr8tKTMexhUsndWt31bMrXaz+hiMdo5Dsrx/jNn17dj4HtW8eVB3oOyH9ng7l63Opet687RcbCybXuMDgxB5aJrN/qgNodBKw2j0rmss9G4ybrXqg+NRvt7rfJ3Sqv/kNvl5QJkz6r7JhmWRi+8vYjZDcW9bl4Cqx3yImWdj8DdqBWV+2Pl75esiuSx8qaw8tRvXWW5XGeZ1ipuZSint5og7e/J9yMMBAKByUKAF1nuMcW/ndGRWx/ilp0VstnOh41Ge37QaLS/l/t73/suPwOhn/m42zkwt9draM9pq9Oz29VD+LJ6ke83GssxYITO6Tlk8M7xfsJGY3n9ncrb1tFo3JTX+Q6MG/X80nPaIx7xiBxthq0Mys2bfUQIdIz7itpCgMfDzzXhsvR4kBYUCAQCc4tAr/OtVdzcY2fPINd+26UC1y8feshDHpLUSZl0VoHzUMotzeaTAw44QJNDpV5xmU1nGo2b5vGZ6igxdQ5OKx0np+V5eKY6W913QKCtgu7hK7Z4O9fBNXI4IAOOOCKj5Hbroa9SyDMT4Q8MTfLtuuuuyZcGnJXAEJSW/etGH1yWdeDBvDMKDByhWVZYHqLos1b5hG0CG+NArp7CnePlC8FSldNXXXXV6ksErglkXiz78pHVfYcD2v/C/d/2AvlmS/Y5lX0rhfjZ1t1NeRNnzmdFJseFDCxIPCgQCAQmDwGCkFUZPXfKr6+nmNtcZ+Lud/rpy78bnPfCj3Q+zJ0pwlG2344nFN1ZIWq+xGfcINjgD63IXkp5kBOfhSi7t4rzeij5gNWO0stAnkz99DWXbRXyDrBq5p5Vobqhw1aIvGLj/Ic11lhD1mnUKz+caQyMDFkxsLWBF0tuMLYOZCQiDAQmFwEu/uZNI+BxRXkTdwggI7A46ocP2I7rM4O+BKNec4k2yO62GasXkfGFaKY5SZ65okH3rTTsOoCWpxc9BzUajXTwwQcnB/PyCpuNd51+OyeCdxfs8Lhtttmm+oKda1T2xVkA+pDJeWu2jVmgVZf8qIyXOpxnbWu2PPgandDCq+tyq7R+SJsLGolRgBWfu3wnsgo0FwAMu02WptyGl4/g6+FzYRHP98r9Q6VbK48Ch2k4jZJgU1ovfbaKgMTSyCOBVdF0jYmFAAAQAElEQVQ3M/fYY49pn4XKbXQKHcCSn49Tmm0dYMDwecJczsFcpaCY04cZGi9BTxsMLFYJHT5odcakzbrnXlAgEAhMHgKUK5/0yT13WI95h3um7wBbJWBNz/dtw+L67npY86G6u6FRtl/yBG6nhMryizOt+kvIzOmET3sWW1E5x5tj84GDVmuy8Mu90nPAy7VrtSPXXQ/76Wu9jvp1+aUEQpsVHjgwGNkSkfP7tFS5lSCn9xqWY2AAIfg5d6esBy/K11Z6xPFHJ1SLBwUCgcDkIkDZNNcYQSmr403SMvXDB5whYGWZbG9OtjedIsi46QtbuW4yd46Xc5K5rxsekMsOOyz71m6+7KUPPv3q3AZlbBVgiOG6r24HPHLz9xzgKM9siFGn/IoBDwAGm1xnafDl7i8vr2XbSfBERhzvSelNV+JR6nDeqVwvnY+niK1nDB/OMyjv5fiow5EYBQweU+1Eg3JLHzWAM7XnZc55CL8OlGBl4oZS7oen2Od85UnXDAkEOpOA+7vttlvzgBPWKfUTRAhH7nOl4YrUq0vQ9773vZSfjxeV0m2CUidyWqo+i4+SCKb2/+Q2jzrqqGRli9HCD3ODDTbItyIMBAKBCUTAoT08kvLexssvvzxRaH3P2InueUjOOSEENBrLXRBnOR/mqvsOR9V+yRN8is9e1HJVvz4AvIHxNKdvtdVWObpC6GTnvNeTkdVp/jkTA3GO41+8OjbddNPqkFyH5uZ7ZdhrX8uy7eI+T8Xw7b4DdV3bjkcos1Iv3ZY5hnLx2ZLVoWyMVj+Duc+OlfUSWuuH3+LV5SpRmT/igUAgMFkIUDzL37MvxNjOVB9Fr3xgr732qr6Aph7njKnTfGM+sWdduvN2HD4ojoYxr6p3ENTNfNlrO7wB6EvKwYSbP48xnmHSnNwPR/HZksVH/CTX4zOEvhDnGr/L/NP5Ng4ktLrPIwy/lMd5PNLEUfmsSh0Ony2NxvQ3hvf1118/MUZkGQjPqXtMqncUNBKjwCgGMq5tsCL5dF72GHDqpBeDlelDH/pQs9ulws1iRODIN5VlLXPNjcaeF262DgeUlolrP+thuS8p3+slZFCwgse9xSTFasZthkWtl3oGldeKISVBf3Kdq622WnJQCIE2p0UYCAQCk4mAE4Wd7kyxK3/nRmOe4/3Emn7nO99ZUpO6nw+bRQYaGVX7vCNe+tKXTuu7laVpCcVFuaptDifMFrenRfEXAk5OPPLII5MDnFwfcsghiaJLYHUtL28NRmQeHdLq1Gtf6+XbXe+7776JRyGjsNW5nM9XBfBSW+f0L6fPJuRtwHuuXNmBQbliqP7SW8B1iaProEAgEJhcBMi8DgrPI7BKneNl2CsfsN2XHG+Fmaytruxmbs7RjkN1y4XDYc2r2p4tdTtf9tIOpZ/BxLjLlfdGo5F4CVuBH9R8r194ZsYb/2MooPQ3Go3ks5QWXuu6lYPZbcnTH3Vk6qTDWbR9xjOekbMmOiH+zIifPeK0mw+ubWYcUWRoRgFKq4F1S8ccc0xzyB52Llcy2XbpFOycX7vNiqYiBIV8r+7yeP7556d8zws4lb36364dDynnzw+vKjD1Z+ONN27WVa5ueWm9TPa+eMG5ZjpAhIDH+pTrY2maqqb670WTl6smQdm+0HxKpgx+IFZz1GlVjbDM00DeRYsWydIV2a+U2y9Dk5PVGFaxCy64IFmVMYmVlbLY5TL6Wd5zVkK+V/6I+sEv12vvsVNArYDZd6VNY7V6lNtidcv5IwwEAoHJQsDKiBUB8455kuLJG8jedd/2JXi0GtEK8+GZZ6Z286F5JM8XJc9RLzf6fM+quLRM3BXzPXNOThf20j7mn+vhCql8Sd/97nebfMShivkeQy0+5yBGXnUw4saf79dDKx25HXN4/X79er/99mu26/wAgqk8Qjjx9uOhoF1unLzd8KzcRunm2qmvDAm5jJURbZTUbvw5D2FLHtsZuNziNd4RK2qNxnIPEvl5oOS2sqed9JLa8Xp5tGW82rEXFPaetXuZsrHeNQycKi0eFAgEAqNDgMdo/q2Tl3PL/c63ubyw1CFe/epXS2pJ5oZe5HJesBRRc6u50Lxma7FPxfICY+wsG+o0r5b5yng7OX0QuJTtiLebL2cz59M7HOJq1ZzsjwfRe3gyu6fdmcgCYn43hPVFh1yeroKvyIM8j0ZjOU+xuEtn0j4F3rOif9n+kevIYScdznP1TtED6W7OyaGL8i7wPmgbZd233TNsl5770G84NKNAvx2ar+VYoKz+szx2O0Yvs9X/bElsVc7EwqDhJWx1fz6lNRqN5IfQ7WQwn8YeYwkEFhIC5kkudRhoo7GcMdcxqF/P9Xw47PatSHE1bSfY1PEY1DUeROnNBzJ1U+8w+2rVnhBlW1s3fek3j5PGtVO6hua67P11jk++XrJkSY5GGAgEAgsYgV74gLmMkZUHlK9tMcR2gm6Y82qndru512m+7KZ8uzwMImR/PMgW6Xb5RpHOc3G99dZLnpV+dWqzkw7HY5zulrdIdKpnlPfCKDBKtKOtQCAQCAQCgX4QiDKBwFggwFU0C6hWeXSKcYIXinhQIBAIBAKBQCAwiQiEUWASn1r0ORAIBAKBeYtADCwQGF8EnBZdbv1wvoEDcPMhUePb8+hZIBAIBAKBQCDQHoEwCrTHJu4EAoFAIBAIDBOBqDsQmDAEnEhub7Fwn332SZdcckkqD46asOFEdwOBQCAQCAQCgQqBMApUMMSfQCAQCAQCgWEiEHUHAvMBgc033zz5XNbHPvax5FNk9g/Ph3HFGAKBQCAQCAQWNgJhFFjYzz9GHwgEAoHAoBGI+gKBQCAQCAQCgUAgEAgEJgiBMApM0MOKrgYCgUAgMF4IRG8CgUAgEAgEAoFAIBAIBCYdgTAKTPoTjP4HAoFAIDAKBKKNQCAQCAQCgUAgEAgEAoF5iUAYBXp8rP/73//Stdde22OpyB4IBAKBwOQgsFB6euONN6a///3vC2W4Mc5AIBAIBAKBQCAQCARaIhBGgZawTE+8+OKL09Zbb53WWWeddNvb3raiu971rmm99dZLPkXEUDC9xNxc/etf/0o/+tGP5qbxaDUQCAQmEYEF2ecvfvGL6bGPfWzyGbnb3/726U53ulN60YtelC699NKe8fjtb3+b1lhjjZb06Ec/Oj3+8Y9PT3/609Muu+ySfvCDH/Rcf6sCixYtarb3u9/9rlWWSAsEAoFAIBCYIAQ++9nPpuc85zlVj/fdd9/mHL/zzjtXaeWf8847r3kf/3nZy15W3q7iF154YTPPuuuum/773/+m4447rpn2jne8o8q3EP/QldZff/2Ettlmm4UIQcsxh1GgJSzLE0866aT0uMc9rlL+f/jDH6brrruuunn11Vens846qzIWPOEJT2imVzfn4M/xxx+fHvawh1U/+DloPpoMBAKBsUcgOgiBT37yk+nZz352Ovvss5vz9l/+8pd07LHHVgLCVVddJVvX9J///CcRvlrRBRdckL7//e+nU045Jb3//e9PG2ywQTr88MO7rrtdRobq3N7111/fLlukBwKBQCAQCEwAAp/+9KfTC17wgvTvf/87WeDzVZM8x59wwgkrjOArX/nKNL5D2c/6Sc787W9/u5nn//7v/9LNbnaz9Kc//amZ9pvf/CZnXXDh3/72t3TmmWdWBOcFB0CbAYdRoA0wkgmHrHbZvfQ2t7lN9T3iF77whYmngDyIceANb3iD6JzQfvvtl7bYYot02WWXzUn70WggEAiMGQLRnbYIvPOd72zeO/DAA9OvfvWr9La3va1K+/3vf5+kVRd9/nnAAx6QHvzgB6cHPehB6YEPfGC6973v3ayJAWG77barDMop/gUCgUAgEAgEAlMI7L777skC45e//OV0q1vdqjIgTyVX/6+44orEI626WPbnG9/4xrLYTQFjAgP0TVc3/aX03hRL6UlPelIVbTQaaeWVV65opZVWSvEvpVvc4hYBwzIE4o1YBkSr4Etf+lK64YYbqltPfvKTk9UkP1grSn/4wx8qq151c+rPMccck+xPnYqO/P9f//rXkbcZDQYCgcB4IBC96B4B83leHSEYvfjFL06rrbZaIpC5VtPPf/5zQd/Eo0wdv/jFL9Ill1yStPe9730v3eUud2nW+dWvfrUZj0ggEAgEAoHAwkWAW/+ll16arOYfcsghFRD3u9/9Eqoupv6UCv4///nPhKdMJU/7f9ppp027Lo0E2Siw/fbbV9sItHnYYYdNy7+QLmy5OPXUU9Pd7373dM973nMhDb3jWMMo0AEee07ybT/Om9/85vkyNRqNtHTp0mpvjj0p9uswFOQMDAdW8BFXoMsvvzx96EMfqvatvulNb0pexpy3VWifqDpe/epXp6222iq9973vTYTNel51lj98E4c2v/71r0/L+rWvfS1pd8stt0zPf/7z02te85r0qU99qnJVmpYxLgKBQGBcEYh+zRIBKyO2g6nGWTB77rmnaNp7772TaxcbbrihYKCERzz3uc9t1nn66ac34zmCTxxxxBFpxx13TObpd7/73em73/1uvt1TePLJJ6fddtutmuvf8pa3pM997nNNA3eu6Oijj054BWrlPvnHP/6xef+DH/xgLlaFP/3pT9Pb3/72ijdtttlmVai/v/71r6v75Z+DDjqoqicLuwwm73vf+6oxvv71r0/cYMv8Zdzq18c//vEkH689Au1HP/rRRCgu8+X4IDHMdUYYCAQCgcAwETDXMljTCxioc1u2m+U42T7Hv/Od7zRld8ptTi+NArY4M0q7x+DNC0H8/PPPr+Zj83459+qDNGTxU94zzjgjOXeAJzIPO9vhpJf0+c9/vlmfBUrbExgbtt566/TKV76y2i7Xbotbt/O18vqFbP/DF5y58JKXvCR97GMfS3/+85+rLvHEO/LII9PrXve6hN8y+uMd3/rWt1ZYtL3DHe6Q7nznOyd6m7N/qgriTwqjQIeXoHxRPvGJTyQHeXi5vKCKPfzhD68O9mOxo4Tf4x73kFwRweXNb35zQt/85jeTul772tdW+1Yp+E95ylPSzjvv3BREq0LL/uyzzz7pXve6V2VA+MhHPpJ4IVDoGR6UKQUiQq0+LStaGRu0mfcg6esmm2ySkHY/85nPVALiwQcfnPygHIIlTy4fYSAQCIwDAtGHYSFgfsx1mwcJXnvttVeVxNXf9rDqYsB/suCi2tJrwPWPf/zjZH7fdttt04c//OFkniYcPvGJT0w77bRTUwCUtxNpg/JMUX/Pe95TzfWEJ4bgjTfeOF155ZXN4hR4WCAKffPGsghl3D1UHpBIoXd+zbve9a6KNzFA4FH6u/baa6dSMFUVYVId+NqJJ56Y1lprrWS7nTEecMAB6ZnPfGZlpJa3JEZweZcsWZLkI3ziqwwDtmjArMzvehAYlnVGPBAIBAKBYSOQDdL1dvCmnFYaBegbOd1c6qBc17YyU7RzXIjWJSlV/gAAEABJREFUXHPNdLvb3U60OuPGfIycRVYlTv3BG6QhC5JvfetbEwM53igfXcP8ajFxKnvzf8knGLHlecUrXpEcwn7ooYcm2+WMo/7Vtl7mazqKfiELoQwOjN368qpXvSoxaNg+/dCHPjQ5NJARG69xTgPewdMbH212eiqCT6233nrVFr9dd911KiX+QyCMAlBoQyxNq622WnWXFc/KipeLdWnx4sWJwu5lrDJ0+PO85z2vOtDKD4whIWf9wAc+kFjU8rVw//33T36M4ojw40VvNBqVpUsZPzj3kNOzSw8GcWcfcENyn2WNl4B4Nkz4cdjvKu3cc8+tPB7EgwKBQGAOEIgmR4oAJdTKR27Uqos4BZSgwJ3Qdb902WWXJQq3swqsqFOoly5dmggpuU59yHFC3Kabbpp+8pOfVElWMJ7xjGckc7kEK+0UcPGZaIcddkiUZ/kcKsUYfMc73tFlZTAuDR4MEFaQ3PzCF76QrPKIZyLs5XjmOfgFIVS6+vE0Bohs5Ljmmmsq47n7deL9xjhhvyzeuuqqqzazMM6UnnkOgYKJAxVl0k+Cpa//uLa6A6N8sNYgMVR/UCAQCAQCo0LAvGbuRhTe3K45L8cZSSnHrsvzBJ72tKeljTbaSHJlPM6ew6URwTxdZejyj0MLGXGdiWOuXmWVVaqSVuKtvAurhNofec3z5mbGgXybsaI8YHc287UDgin7uW5fhaMjMT7YgiEdJjzlXv7yl1dfFpLGmODAX3H0qEc9qvIo8BUHOpO0oBSeAp1eAsIZt8tSeJHfwYOEKK7997nPfar9qNLbEcXdi0zgJPhZUcl5raJkweb8889Pb3zjG6tbBC6fJ/nlL3+ZCJYmgfziso75pJaMfgS5jGvxf/zjH8lJ165LLwI/dAKmeyx6ixYtSoQ9p5zO1XkI+hgUCCwUBGKcc4sAoYrbe1acc28o4Ob6bCzN6f2EVmUYcwlUVtRtV9hjjz2aXmEMAoSVXLeVd4YE14Q7h0px3zS3Z2GMMZhbpjztiHHDHO8+wzXewT3UmQbmeunyZMGIV4SvMEjHg3JZ1wRQKzniq6++evOQKsYOfVQ/oRFPwwu5ldqaIb/+O39HvCTYM0w7MAvWtixko7t8BEchYgRx6KO4vjOwcGVlDLj//e8vuTqrgbeBi0FhqK6gQCAQCARGiYB5nocY4tGb28Y/zLWuKdLmWdsCsgGVYsuIzQtMHmROFmbjgHg+T0C8G+Kez0Bh+4G5Wp0Ms8qal/Em8TpZjDSv41+M4YzAOU9ppJjNfM2rAk+iSyG80fkIvrSgLXzNmT3401FHHZV4OeBZFkPlkwfBlRdd9qCQFhRGgRnfAatHF110UaVk25PTaDSmlWEx43pp1aWdYm2P6CMf+chmOUKpH7IEQk5eDaH4S0OshTwMxBEPhdLFhbum9Jnobne7WzMLVxlGgGxlYzCwH4c7ZqMxfVzNQhEJBAKBfhCIMmOGAIHAXn0Kp3m70Wg0XSoprBR1eQhTjKfnnHNOdSDTIIZBoLJVi1sjd/tGY/l8S4DKbSxZsqTZJ1vIeKS5xxCtnHg7Kuuxeu8cHHkZpdUrjhiVhYjrpRDZIidErbwEpONJ9r0STLPHAIMCA0J2YZXPSr+wTs5uIDhKtzpWCrPqlI6yd5s4L4tyLPaUnnTSSYlg6pnJU47dWLOg1yuG6goKBAKBQGAcEGg0GskWstwXirXtyFnXeOpTn1rdyqGL0047rTo/hlLuutGYXoe0mYiBtzROMOYycudy5Vyd04QMCaVhneeAdFSWme18zcjO6xrhqxZRM/9hdH7IQx5SnaHGKE7vwbN8VYhBXl+C2iMQ2wfaY9O8w92RlckqCysZpZrSnlfuZXRAVLbeuS7JPsvy2ucvHvGIRzSTrOi4oKQLESOAsCTWrnzNGpfjnUJGAKtg8li9sV3B4RtO2/RjsUeT5c39oEAgEOgHgSgzCQg46C6ftUJp5C1glZtAof9WGnyakDBkvuf+6As07vVChA+GBy6MuRwFmBeXA14JXDld6OA9ITI/E1wy8TCTjgg7wnZU1kMgzHUI8adcrqxHH7MnHP6GFzGQZMMBBd5ZOrms0FY6nma2ucHo9re/fVJPKfTJI2+dSsHSPd54QsS4ICTw+nKDOOIaKszEOM/DIXsMSC/HPhsM1RUUCAQCgcC4IFBuIWAUKBcPszHAvJrncR5XDNoMycZA17AqLt4tOR+t1G+UazVXSy9JP8rrdmVmO1/zvivbEbf4KkQ8HPBxvM/Yn/WsZ6USN3mCWiMQRoHWuFR7c/y4CI4Oy8jZrLxbbSJkcevnJprvsdDleBkyApTX4oRSIcqrKpR214g7kbCk8gc2kytpLseQYIWp/iMitBkfLwGrNWEYyIhFGAh0QCBuTSwCXDNz5x2aZDXd/OggopxOkDBfujZHb7LJJqI9kZVqxgWr3Q5DUth+fasmtm65zsQzweGA+ZphwupGJu6R+V6pzOe0MuR1lq+Vy3UIud7ne2U9DBQMx/meVXirOJm/OLQwnxcgD0Hz6U9/erV6xT2T8OnMAmc0EL7kQeoV1onXQpmWDdZlGjdZlNOy0SZf18NBYlivO64DgUAgEJhLBEqjAC+2rNyaO8ttAdlAwAuu5Gllnm7HUZ+nldOesBPVy7UqM4j5+q53vesK3cBzbSUojcUyMTbjafQcX1KQFtQegTAKtMHGaokfI6HIZzUIP/WszhMole3S+lXm5eZYXos76VOIsmHByr1rZMVGWJJ9lfma9S/HZwoJcSyMjBgOdOICWhoYeCgQHGeqJ+4HAgsJgRjr/EHA6rPVgzwiAkKO+yqME4tdy0doEXdwkZVy8X6Jx0AWytTN5d6KfK6PwmtVJl/bv2mVvBU5fybnaxU6Gyan+1pNqzqk1b0fjF0/lNW+PZjiCO8TZnL6cxZKCaE81hgj7O1nRMn52hkFbKPIedqFBEuebPl+acSQhp9yoeW151rfB4Wh+oICgUAgEBgXBHga51V7eoH5T9/oHjzQxJH5WIicRyZEmf+Id0vdzNOt6uqm3CDm63Z82acIYeSLcHgvj2vt5b7a6s1An68jXBGBMAqsiEmV4sdmr0p1MfVnl112SfVPavhxEqKmblf/rTpVkdof380kEOZkyr1TnPO1/S/ivmUtRL5skIVT18o7PVMcPfaxjxVUVApgZRkHDmrbKZwvetGLkgM4HI5ownBCqB9MVcHUn3zQ1VQ0/gcCCw2BGO88R6DRaCT7y/MwrRzkuNCBQ9zgxTOVimZO6zU0N9ufj58oyyOLEl6uhJcGXm7/9mRmcqAsJd25NupSRzsq6zn99NNTrkP4s5/9LDl0yXYEfSjrMM7NN9+8SnKQVd5i8eAHPzgtWrSoSs9/yk9h+eRhPisHr2EcyPnqbeT0bkMHbOW85QGI0vAzAjDDgS0Z0sqxzwZDdQUFAoFAIDAuCFBqS90g98scmOPCpzzlKanRuOmsmnL+7ccooL5h0mzma3ywbnxwAK4FT0YB/AFePAcYjx20y5vNeHhIuxYPao1AGAVa41KlesGqyNQfqztcVhz8xPXUD9JeR646U7erz0dZkRevEwOAUzjVYUWe22r+0UrPwioBjICmPPdP14wODlWyJ4ag5x5hyIqNOHLmgRD5ERDqrAZJ11fCm++OWhGzWqbP+iSuDGKNFAYFAvMbgRjdQkXA3J3H7sC7nXfeOTEOcLV0oGzexpXzmGNf8pKXpHKvfL7XS2iv5/77798sYrXevJwTSj7j4Fd5eZIdffTRyeGy9u4zJJi3c5lWoW0A5nz3bA0zPt5r+I57VkmMp5z35UXlgYPZYMFTotG4SciUBxFQhYixQ14rM0uWLEni0pFPEwr7pazsK7/ffvslbp+2Y3gmjNrSkW0LwkFhqK6gQCAQCATGCQFey/X+0EHKNNu8fPmmTGMQpi+UaeMQH/R8TZ9Sp4N88U/bCPBtXgH0JqFx80Kjt4kHtUYgjAKtcalS7QGlSFcXU38IPQ6m4sZJ+c5CGld86fWVpqki1X8r9BR1P2wHX1D43XBugH2Z4ojRwQtsW4JrhzkxGljFYUyQZsXJeQbKuka+0ylEPiVle4ADBFnTHK6VXW2sFFn94YrkRNPLL79ckcSLgGWtuog/gcB8QSDGEQgUCFDE8woFpZXgwNj6+te/PmUXdSsKPvOUizGmnnfeefmy75DSXQpxPsnkxH4VbrrppmmrrbYSTc6VoRDjGQ744yHmhjlfmng7ct6NQw6z4m58BCB8h2eYcjzeWp2ToG/lIVH2glL0lSkJr8jXvtBAECV4Ml6X/C/jmfP2GuojA4ZyvN/22muvJI2BgAAo3VgcdCg+KAzVFRQIBAKBwDghYA4v+2Orlu0DZZq4eVyYacMNN8zRsQoHPV/jQb7qlgfJII4f+iLBC1/4wuprDO5ZAMj80XXQigiEUWBFTKalEHwo/Gussca0dBeUeD9C+/Wf8YxnSGpJFHMrPgStnGG99dZLFHgvc04T2krgsCnCVzYOSHdYIU8E7p2EI2mZuA299KUvzZdVmAUnZXyOo9xDS8iSyQ+G2yyB03VQIDCpCES/A4GZEKC0OhuG0k2oKvNbYaeEOnfFvGx1nlGVIaGcO8syvcYPP/zwpA/KObOGoYDS32g0ks8BUujzp/fkQbzIbCXjXeZ6JlKnFXVu/fqf81shYeAujdD5nrDRaKTy/ABeFYQq90qCC4ErC1b//Oc/093vfvfEq6Hc3sZIUJbrJ37MMcckh0Pis2V57cHKilBObzQGh2GuM8JAIBAIBMYBAQaAUn+g7Oc5uOwffaS8HsetA/rXaAx+vl66dGniveYzhdrAW20XEF999dWTbWj4o+ug9giEUaA9Ns07BDKfG7Rv0sFKlParrroqIXssvXDNzC0ifrxWhrinEkq5tThFNB8wWC/C3dQnoa644opkrwxDgLa/+tWvptVWW62ePRH+CGX6w23UapPtAzmjsxFOOeWUxIVG/7VtJUc/uGPe8pa3zFkjDATGHYHoXyDQNwLmOqvN5mJ7C53K74wX8ysllCJM+OJqb4sVJXimxszJBJBMpRdXWZbCbw7O+XiCNRqNZhbKtrNdnPxvjuaWz5vLF2KamZZF7N/P9ah3WXIVOCvGPO9LAfgNzzRzPQM343KVqcUfhxPmOglQLbIkvIxCro/qxp8c+Mcozdshly8NzfhRTs/b43LdcM73GGByeg532GGHis/ydIAJPGytgJW9pTlfDqV3i2EuE2EgEAgEAuOMAKMuz+Q8V+Yv5NT77NOwOY+Qt1k9jznVPVTO049+9KOTNMQ4Xi+HX7mH8Jh8/8QTT2yW82W2nC5kUJcf4bXSSup2vjZ+daC84FnWk+PGi9/hj/gTAz9edfHFF6cXvOAFOVuEHRAIo0AHcOq3uN1bgeF6X1+9qOdtdU0gfcxjHpPKTze1ylemMRBwZyWolumt4vrkAMJ2QqlVKv3npWAFqi0PyGsAABAASURBVNFYLpC2qi/SAoG5RSBaDwSGhwB3fG6ZlPpWCibvsEZj9HMkDy5zNKMxg2+/CPB+wG+snIj3W0+rcniJuvGnVvcHncaYABNfWGj1rOrtDQrDer1xHQgEAoFAIDBYBAY9XzPu40/OSlP3YHs7v2sLo8D8fr4xukBgMhCIXgYCgUAgEAgEAoFAIBAIBAKBwJwgEEaBOYE9Gg0EFi4CMfJAIBAIBAKBQCAQCAQCgUAgEBgfBMIoMKRnYS+qff6IG+qQmolqA4FxRiD6FggEAoFAIBAIBAKBQCAQCAQCY45AGAWG9IAcsOHwJWT//pCaiWoDgTFBILoRCAQCgUAgEAgEAoFAIBAIBAKTiEAYBSbxqUWfA4G5RCDaDgQCgUAgEAgEAoFAIBAIBAKBeYNAGAXmzaOMgQQCg0dgnGv0ebS73/3u1edwxrmf0bdAIBAIBAKByUHA1zqe8IQnpE6fP5uc0URPA4FAIBDoDoEwCnSHU+QKBOY7AhM3PoKbT6M1GqP/bNzEgRUdDgQCgUAgEOgKAcbm2X4StKuGIlMgEAgEAmOEQBgFxuhhRFcCgdEgEK0EAoFAIBAIBAKBQCAQCAQCgUAgcBMCYRS4CYf4GwjMTwRiVIFAIBAIBAKBQCAQCAQCgUAgEAh0QCCMAh3AiVuBwCQhEH0NBAKBQCAQCAQCgUAgEAgEAoFAoFcEwijQK2KRPxCYewSiB4FAIBAIBAKBQCAQCAQCgUAgEAgMBIEwCgwExqgkEBgWAlFvIBAIBAKBQCAQCAQCgUAgEAgEAsNDIIwCw8M2ag4EekMgcgcCgUAgEAgEAoFAIBAIBAKBQCAwYgTCKDBiwKO5QAACQYFAIBAIBAKBQCAQCAQCgUAgEAiMAwJhFBiHpxB9mM8IxNgCgUAgEAgEAoFAIBAIBAKBQCAQGFsEwigwto8mOjZ5CESPA4FAIBAIBAKBQCAQCAQCgUAgEJgsBMIoMFnPK3o7LghEPwKBQCAQCAQCgUAgEAgEAoFAIBCYBwiEUWAePMQYwnARiNoDgUAgEAgEAoFAIBAIBAKBQCAQmK8IhFFgvj7ZGFc/CESZQCAQCAQCgUAgEAgEAoFAIBAIBBYUAtOMAn/5y1/STjvtlN773vd2BOFTn/pUle/HP/5xx3xzefPwww+v+vi3v/1tIN344x//WNV39NFHD6S+QVZy6KGHVn37+9//PqtqP/GJT1T1XH311T3Xs/vuu6elS5f2XK6bAldeeWXVr+OOO66b7G3z/OMf/yjuRTQQCATGFQHzLF40E73zne/sewiTOB+8+c1vTnvvvXdzzN///verufHMM89spi3kyBlnnFHhce65544Ehkl8h0YCTDQSCMwRAllerPOON77xjeld73pX+tKXvpRuvPHGOepdNFtH4H//+1/617/+VU8e2+uPf/zjFY/585//PGMfJ5E/TzMKUCoPOuig9OlPf7rjYL/xjW8k+X71q191zDeXN/3w9fHaa68dSDeuueaaasynnHLKQOobZCUnn3xy1bd//vOfs6r2a1/7WlXPX//6157rOeyww9KRRx7Zc7luCjBSeJbf/OY3u8m+Yp6plGOPPTattdZaU7H4HwgEAuOOgHnWb34mYvztZyyTOh985CMfSQwmecwM8zD6yU9+kpMWdHj++edXPOxnP/vZUHEgyDKEb7311kNtJyoPBAKB3hDI8qJ5saT9998/vf3tb0+bbrppetSjHlUZB3qrOXIPGgHG23XXXTddfPHFg656aPV95StfqXhMN3rSJPLnaUaBoaE4Dyq+853vnPbcc8/0vOc9bx6MpvUQnv/851djvNOd7tQ6wwSktusiC/Ef/vCHdrcjPRAIBMYQgY997GOJgteOrAz30+35Mh+ss8461Zz9mMc8ph8YokyfCPCqfPe7353+/e9/91lDFAsEAoFhIvDYxz52Gu9gMPzqV7+att9++0oJJe9edNFFw+xC1D0DAkcccUQ677zzZsg1ubcnkT+HUaDL942izMq4ePHiLktMXrbnPOc5lSX1jne84yR0PvoYCAQC8xyB+9znPukhD3lIW3rAAx4wzxHoPDzeT/jSmmuu2Tlj3A0EAoFAYAEhcOtb33oa33j0ox+dnv70pyfeVrbKXnfddWmrrbZK119//QJCJYY6SgQmkT8P3Chw0kknpe222y5ttNFG6WUve1n68Ic/3PZHx2r3hje8oXLnedrTnpZ23HHH9MUvfnHaM/vd736XXv/616dvf/vbidvGs5/97GRv0E9/+tNmvu985zvpLW95S/WD32233dKvf/3r5r1uIpdeemlS7pnPfGbaZJNN0q677prqK1DOFNAP5ymUdVop0Gd9f8YznpHe8Y53pD/96U+JBUyfcl57S5T/zW9+k+z/FH/qU5+aXvGKV1TjyvnK0J6V97znPWnJkiVp0aJF6UUvelG1KqT+Ml8vcVhpG67vf//7kzFrQ1uf/OQnK6zr9f/+97+vxmMC1efXvva1lQW2Vbv/+c9/0gEHHFB5VDAyOJ+CO1ervK3S5LUN4QUveEF68YtfvMxVtlXOlLhwch9+9atfnZ7ylKekxYsXV+8Gl51cQn3GawyYgDimkO93U0fOG+FoEbDPLJN3Evn9ZPr5z3+eMuU0oXyZcvnR9jxaGzUCVm7xElR36/vRj35UzWvmu5nmA/22Pe51r3tdNaeY8w455JD03//+160mmT/NJa34Uj9zPfd/vGOLLbaoeOc222xTCa/1dpsdWBbJvOSss86qUq644opqrPrWjr773e9WefOfbsab89ZDWxmcc3DDDTdUvN68jU9J90zK/J14T853wQUXVPs1yQO88njn4b35fhn67XMJxsN22GGHSkYo7+f4W9/61oTH5esc5mfY6qya0047reLlG2+8cfJMnNuTnwWsPSv1eG5wtt3FddBkIEAeyGR+QLZPZvr4xz+eMuU0oXyZcvnJGHH0skTgJS95SaUvcF8/8cQTy1tVvJc5kRcbWd88RObda6+9Kh2gqqj4s3Tp0sTzjay9xx57JPoCveHLX/5yIjcXWZvRbvrRD79pNrAskuu47LLLqm0VdLhnPetZ6QMf+EBqt03c3GceND/S99rxrKOOOqpabLSVe+edd67kdHI7DPAEXaAzmEfFr7rqqoqHnX766Qk/22MKK9huueWWCS/Ga+QrSRqdSx+e/OQnJ/zAFvIyj3i7vjhjgi7wmc98Jnk3Ntxww8pghL/ot7KtCO9YsmRJ9S7ZTlbqHvLX+bO0Xt+DS7vQT9U7KBqYUcBDWbx4cdp8883T5z//+dRoNCrF2kv/uMc9Ll1++eXNPnsADAZ+FAcffHAiPHjBGBAo/VY+cmZCnBfGwyQkUMA9qPyi2jO0wQYbpI9+9KOV8YEFUHt+qLmOTqGHuOaaa6b99tsvAd/BhOpcNKWE77vvvs2i11xzTaXsMkzkROPwouqzff2UTmXtkfFjEs95MRLj+OAHP5i8cF5uL7y9+F74Aw88MGetQj+WRzziEZWx4rTTTqvG9tnPfjY5WOthD3tYItBUGXv8w1VHP7g+7rLLLpVBQp2NRiOZnNwz1lwtJct4GC9g5Vl96EMfSo985COTZ5bzCR269MQnPrFSzOHvR/mmN70pEayUk6cTyfO4qXdl2223rZQ9z9iP3IEx9XLGv/7661cGKPuDCWynnnpq8m6svfba1biUcc6CZ6ZvfvTihDr3uq1D3qDhI0CB974hAr/fR6as5Huemcoe5TRhzivM5dXnGmmnLBvxyUeAdxPB6n3ve18lUOQReR9e+MIXVsINF3vX5oBW84H5HL8yXzlXZ6WVVko/+MEPKgEDjyGs5Ho78aVe53o80JxlTjZvqpthlLGTgJPbbBVeeOGFFV8yN7tP4DQflnT88ccnxno8xvyejea9jFfdrcgcz9jCEMBY77f129/+Nr385S9PT3jCE5JzinK5TrxHHjwYDhRwz+mSSy5JBEK8pn6ejOeyxhprJIIYno1HwspY1VUSfnXUUUeVSVWcsQEeX//616vr/EebhFzyCJ5B4X/lK19ZCYnymFNyf7wT3id9dS9oPBGgwFPqEWVfmIlbOZInUzmKnCaUL1Murz6/eSRPWTbi44uARSe9y3OneK9zomdvziLv4ylkF4ZMcxOFUJ2ZyPzoSU96UmXwvc1tbpO+9a1vJco3mTfnE/bSD++deaxb3UL9dcp1vO1tb0ubbbZZteiH/zGoOn+BsbYs0wvPohvJbw6F0xe+8IVKXzttSq/JeuH3vve9ZJFYG3iY8cCWjA/Py6aMFZ/73OcqXvzc5z5Xtibhl+ZrGDIk3OxmN0sMPc6OYNyAZc7cri+NRiO96lWvSvQ5OqaxM8jgafRDPC3XkUP8mWxhYeDss89O+Dc5AZ/Leer8Wbp3AHXzHng3tY83dtJP1TsoamkUwPQMuB2xKtU7QBjzsIGqPAXNIAwGSCw3uQwmaiXBagAF1MoF0IHbaDQS4cUKfM4vZAWyavOLX/wiaYcbkNV81iWKKAVSm14eSna3e4Uo/oQKL6UyQj/sVVZZpTrlmXCi/VZkXyoDCKXVWP3A9YPLa/1HlMtTWhkL7G8nAPph3OIWt6jaKt2YeCtgMMakbhgRYqzECFnacp39hAQeK+aEGT8UQnW9HpMczwk/UgzQc/zhD3+YKNV+aPpYlpGPYO70Vy+zUHlMtJWwVpZVn3eHwMpaZ5IyqTKOiJd5xb0jfohLp6yvFD2TgcnB+wZH76N897vf/ZLn+qAHPSiZhMWzgNhtHeoJGjwCFAjk90ZpN2/4vaHBt5Yq6713RTvaE0fDaCvqHAwC5h1zXTsy3+aW/PYf/vCHJ3mzorfzzjtXAg7DJ4bdaT7gKWVeZKw2D6nDHG11x1zEwJnbymErvpTvdTPXe/94N9zhDneoDL3mOoKEOd+chSeaA3OdM4VcZPHSkghejLrmWPtorYSop5/xKlcncz4+hi8QqPBlHnUOj2IcqOeHcZ33wJcA6vkpZ8ywoJCbI1760pcmfFpdFHGCIZ6FH8mrjHrF5emX8AY8xYofWQL/xavxXYYW8gEM8WNtEEbxFLKS66DxQIDshMwflAuhazSMHpJxkHZye97fYbQVdQ4GgQc/+MFVReXiVi9z4i9/+ctKkbzrXe+ayLvmPTKpOcicZeHT3Fg1suwPGdpcz9PZIp9y5o5jjjmmOrxuWbbUSz9ymW74Tc7bLjRvI3yHXmBOv9WtbpXMh3Q15frhWRb8zOXImM3/9KVsmIFF+Ry0wzDOQGEedg8fW3XVVSv9D47yIF7esOe1QJ/RBhlvyZIllSzg9yhfplZ9UY7cwEDjvr7RX/Ak9/D5XD6HeAG+5T2wwMhADSPe0TlPu1D/u3kPZqOftmt7pvSWRgHKlYfWjrzQZcWEDdb1u9zlLpV7jJco32dp4dptFdoLJp3S5oFRyv7v//5PUkWU+/XWWy9x16BgVonL/tztbnfduquNAAAQAElEQVRLLP4EJS/KyiuvXLVlhVg6JV7Wm9/85onFjMDgeibyMNWl7znvPe5xj+QHwTKV01qFlHsvqZeAZUkeZw9Y/Ven6zoRLlikbnvb21a3eA3wbIA54UOi1RUCLEwJHdKQMbJ8iXvphf3S4sWLqwNXHvjAB1Yr+a3q8dL7MTLo2DaQ8zjAhbvU7W53u1Rnsia3u9/97lVWmC6Z+mGmlKqDXarENn/8sPyYeZrAKGeDDcNPvs6h94EXAdfVRqNRJTOubL/99knYDT6DqKNqOP50jQBmyQiAPCM0LCPATJ3C3FAYCGZCau7uW1kw57UjK8a5d7e85S0rYcrv3zzAuGjVedGiRckKSM7XLsTU3eP+medn1xRqqyW80BgLpGUyh+A/JV/K98xjM831BI+tt946WUlRVy57//vfPynv2m9E2C9xcSQ4mbeNodG4ab7sZ7zt+qAuK/r5/pZbbpkYhK3Y1HlEK95jNciqPI8/Y8/1kB0YY9RBHpHO64HRw5h400lDnlPJp6T1SgxA9iJbyWFEVp6MgsdvtNFGieInLWj8EPCOUMpLkjYXPdWud4VCwjiA5qIf0WZ7BBwe7q6FRiEyjwm74QHyWLy0nbY824bMyoipXh5n6svUaDQqLwGyvDR6A2O2vjBqSkO99EN+hF/MxG/k60SUf6vfOY85nQ7H+J5X8vvlWTzAeeGZs3nt5TbahRZX8X+hPPe85z2b3lr0Emn6xXhA16CTNBo38TZ6oC1j9DB6lLwl1ftCD3SfgcczEW80GtW2dHIEbKWVxDPAs5aGRzDuNBqNGXUd+RuN7t4D/TIG41MOdaufytsPtTQKsNZT0toRS3nZmFUNijymSVEs74kTAoR59Zzi50Fqx7YDD5b3gJV3yoK8lAdhJnk96HwtNNECy+qI60z6QNnO151CfWFYcCAEqxUPBisRXB+9wASEVuUJahR5Ame9Xw7Gomy3KscVpJ5u9UqalXmh/lvpZvlybY8s4ReDYc2SVsdHWiaTkR9NSRnXnKeOWU4vQ9Ys1zw6hCWZEFn3vKA5nTD+sIc9LF9W4eMf//gqZOWrIm3+eJZutRLquAG5V5LVNVhQBEzMrI+MOHkC6IRPrmcQdeS6IuyMgOfhHfS7YQRAnUuk5LeHMEx03/veN5Xkd1ZSvidvSTO14z7jAMoGAmlBc48AZd7vuh0xJJe9NL/iI3gKl3b8wapLZvRl3jLOwm9FggDCOMuIXdJDH/rQxPhtTi3LteJL+b6+5HgO63M9YwNhMAsdlAleTwzbVqmV89sR9kNWraxYaZcynQ32/Y63XR/w0fo97vzSMh8RR614D1wJZNxF5SmpLj/0yivKujrFySJkFP0rDTTKMFR4HgQ/10Hjg4DfTDYEiKOZekduQX6jiOdpSTxcSsr35C1ppnbcZxxA5Lf87koPmlsE8ntiIU9Pep0TPVPlLIKVvELcXOYery9hJouIthbkayHjI+WS3E6P6rUf6kDeS2FJ5n3XWbcQ70TdzOP98izzaqe26/cYD+q6VX085mvzNoO3+Rn2mc4555zEWE8/tdBa1l/vC/zNBzzF6IJ0Lx7x+KUzE1ZfffWyeBWv18Fosdpqq03bKl9lbPGnm/dAMc+jH/1U2X6ppVGA1YPlqx1RWssGvcyuCeXCOuV0glq+x+3eargVGQo0l3+KcBaACGA5rxBTFmayqsBj4V73uldOmhYS7qYltLlwoBRLnZePVY8A5eWw38NL0aZYyj92L0KrPPe+971bJae6sCETZVro5RYiginXV9ixKnpplyxZkhyM4n4dH2mZuMCw8JVkVSXfF9bxlFYnPzhpbbF0syCTI6tWkZTs73Fdjs11nSj10lo9z1bt8zax78jEYVI1UTFWMVTABqmvEw2ijk71x72U/J5LY0AnTBgAkHeesu+5o6zgm6BLqteV7+X8OVQXytf1cvXr0jggXr8f16NDgHGWq3g78n7Ue2Nbk7nIHMCbqNWcUi/DRVCad9X8WSfzivsM5cJMnebRbud6wiWjAOEUP1m0aFFisLRKoB3jEPZKDFwUavycWz9Mch39jjeXL0Nzfit+l3HnXl/mr2PmLB7GQr/7Ml+O5/QsP/TKK3I9M4WeLaG81Ts1U9m4P3oEKHWlMaBTD8h0iHJP2Rcigj1yr6R6XfmevCWpC6255pppzSmql6tf+61n40AYCOrojPba712L9Bxhr3Nizm9bc51fUCrVmdsQR1mpFS/JXElGptPkenvlRd3ym7LderxV//RNvnIe9x73yrPq8746O1E348lYMQTUn4Fr2/+0kXmHOKr3hQ7GM5pOamwWPS1o+t3zRq5vA1FHK55H3/Ec3e9ErXCWH9bKew9c96ufKtsvtTQK9FrZKqusUhWxol1Fan/s0ZBEeRPyEuCm4oFRdLk0miDtlaf8ylMnYJdpBBHWuHZtEjTK/J3i3GMwGAdLEMYc5GdPDeHMHqFWZQlw0nkLCOvUTploNG5ybynz14U+Vi0r5lxnrFDtvffeiWs9DwaGi7JsqzhsMaqSvOxl3jqe5b0cZ7ARt5dTOBM1GiuObaYy+T5hWLzV82z1LLmK5m0Fnt8JJ5yQTMCsgoRgdc1Eg6hjpjYW6v1ujAEMAIjQT2knjCPK/TBwy0YBbaF83a4tv+FM7fJE+vghYJWdUdUcx7Ufn5mpl9nQbd7Fi9oRb7KyLm2U12W80VhxPqzP9QyvDNDOyXGWgf7ar277HLfUsr5e4ngpQ7tVJ9sHGIjL8v2Ot6wjxxnoW83Rme/XBaA6ZuZrv/lWc782cj1ZfuiVV6ijjru0enu98jt1BI0eAbLaTMYAwjyi+JODhEjaMHqcDQXaQgwEqF1bFA9knjGedvkifXgI8L5VO28vYa9zovx0H8+wHVm4UncmRsccL8M8x5kr1eter7yo0ZiZ36i3E7XqX9k3ZfvlWfV5X12dqNGYeTwZK1sH2j0D6eS9sq1WfbHK72wCOoTtYwzq5FiLxrbDleXFG40V+ye9G2qFs3J1rKXRb8wRveinyvVLAzEK5AM78up5vTM5Heju2Z/XaDQSywzXSZY2LjUelNUNeQgawk60zjrrJHsL68xdmVyPeDvilsFVk5WJpcj+RX3jymgfI+uQPZGtynvJuKRyUanfJ4hlC1b9XjfXtlJYDYGLF8ELbysDI0geVyd87KXhBlOSvUbdtJ1SambjeuMitymeyd5LhoZ8CnNO7zf0LJWFvbCkevuMI6zt3jsHTe2zzz7VQSgsvvY7cZXqhI+6B1GHeoKmI2ASZeG28tdui0A2BDAAIArB9FpGc5WNAn7L4u1aZRjwDgrb5Yn08UDAvGm+NHc5Gd/7aH8nr6BOPTR34D/ODMCL6kTpNbcwRneqp9d7hA9GYKFtDr5+YIWCAuydU99Mc5k8JRmzc3cYSRlIKEPlffFBj7eV4SXP5TPtH200GpWbpy1mrXh5XX7ohVcYqy1mMBEvqc6jGRvMTdnzscxri5qtKhYxyvSIjw4BgnE3xgDve6ZhGQFmGnVpJJjJOGBMFJeZ6oz7g0PAfGX7KdmDEUfNvc6J5AayvvPL6vzCIXL11WltSGvFi8yVFkfI+L32Q72DIrjU69I3aXkex6sGzbPU3w95BspZBKg/A9fkUAZ2vF2+doT32KJIn+RFQF+i++ERt7/97RNPO3pFu/K9pnfzHsxGP+21P2X+gRgF/Cgo1CxvFNqyAYKUw578+KxcuEdp4K7PyuY6ky0FBBnXrX440ktyhgHgKMFlun6w+JRpreKUevtO7dvwkMo8q666anWZPQKqi+KPdKc42y/pcL18y4qEQ0LaKUQ5X6fQi+y+CUKYSZ35sKVu8Mnl2oed79jL78fkQEU459yEVIq4/aq2fuT02YTc/+3/9a5Q2Mu6bCspr70/rlkJCXzimXLeOj6MPvDjmiNvP3UoF9QeAUqzdxfOrXIRuDG+uTQEtOqXNEYBDEaIpNXJ+Chqwvq9uJ57BBhxzclC3mjOQnnNa16TGG6XLl06rYP1+QA/wgfwH8bUMjMe5tC8LDyW92Yb93tRR32uJ4zwHnCvPpdJa0fmNxg4FZknlUNiW+Ud9HgZ08t2CFc8AC0EEHLLe63iXFGNk1dceV+aA52k2R4mdF5Qo9FI+D5eJA0RVBmrxUuybUJ/GIxyunek/pzd42VHFiCLuM7EYMODI197f8QHKSiqL6g1ApRmyjPDQKsclP+5NgS06pc0BgJzB+MAklYnXgMWOoyzfi+uB4sA/cA+cXOL+THPvb3OieYsPXNonTCTOZheYctbljPzPQpq/SR7yid3cTqUfL32Q5lBEU81BvBcH4zM7eY7i4DSB8mz1KvOfudRnuVkSvMzDNWViS5Kh8FTYJrTW4UWhvGX+rOk5zHwMNLzaGtVtp+0bt6D2ein/fQplxmIUUBlFEcKGqbq808eiBOV11133YQBY7KMB/Ja9ZZmJdwPwmRvz7tTL7NA3o3g7VOAHjoF1Y/bypBvJmMOrDva6kRA32WXXRKF1/4TJyA7jImXgD1BjBZelHZ12HfCquQcAuO298QeWJO7l0j97cp2Sjc5WJGiIPskBWHEqczcibz4jUaj+rxapzpWuNdHgm0UhGqr8Q6NsnWBdZVQxsXGfpdsPOmj+mlF/GhtAbCis9566yUTp3eGC4+tHGVm5wjYe+N8BS62DhhxQijXXitjnhsLbikwEgxde54MB/3UUfYh4ssR8Mwwv3a/2XE2BiwfxU0x8w/KBoKbUqf/NU40PTWuhoEAJk0h70R5r6NDCbk2mhOs6uoP3kAppUCaR6Wh+nwgzbzA0OhLB/iC1QFpjAvc+swthAR5B0XqVhee46s15jp9Nd8yMLvXy7vG1RFPJegSZnxSSd0lZcXZ2AY1XvMvF0v8U/3mcDwsGzaMoxNxkfSb038KlHKM7XiNrxY5QBZfV4cVK3wRVtKs8Dgg2CGFrQyS5ApzPx7ts1225dkayPjcaEx3AVUvTAj15AHvAD7HwEJ+IRfog60G5jWGcbIHzKUHDRYBRgDyIaW5Vc3jbAyo95dxAHm/OxkHwjBQR66/a7yg5Bt0EfM+RdI9hgFzbVl7L3Oi3/3aa6+dyPsMyscff3xiaLT46TwyX8DJinRuo9FoJDI1XkVHokOYayyK0aFyvl76kcsMIiTX450+S2jbGV2E/E//4JmrjUHyLM9DneZXPJdHlutuyRxM56NP8rAzv1PweQvSy9zX95nqwyMsVuEjPAvpOso9+9nPTowgfrN0lJnq6fZ+ozHze0B/hEm/+mm3fannG5hRwL4cq+Zc+7zofhgOfCKQYfD5RdIBq932T/rEBWuaH66DnPyoKJ3yuCfsREDz8Dx8LzADAcWcUOczT53K5nuEEadVYz6MGX7c9gFZASeMdFJ6GQScOaB9LjaEOoKYVRqr3oSL3E4vIYYBBy+hl9uPlGDiBExGAadjmnTa7fXvpa2Z8sLiwAMPTCZRHb7gqQAAEABJREFUSjdsKeOEdT/Amcr3ct8E6nnCTjuEOLjW3wUWO0IYowXLpolL36zo6ZvDxfyQyq0NhEqGBOUoCv3U0ctYFkpeCotJs5UwTrlmxTXZ8hSaNEz0H7Xqt3GH10ArZAabRiChFHQiCvu3vvWtRJCybcDKQO4F46x52eoNI7TVZPfq84E087l5jkLOAEAgcMaMeYWySIiUb5Bku8DOO++ceAY448T5AtoiOJr7KNb1+a9T+1a53XemAAXWXGelpyQKvDyDHC/BGE/CP53Qj2+aawm72pqJzMf4LV567LHHJsZgcc/LczWWsg5GDkq78TL0Etoc/IQflPnE5cU/uYji9wRQwiKjQqMx3ShgriLHUBx4l3gHvAsE4q9//euJPKNOsgf+ZyGEO62VKulBg0OAcux3Tzar17rmmmsmBiHEMFC/P+7XjAPG0KqfDCB+T8bf6n6kdYeA1VjvT6aLL744WTAyRzH2kTV5wpa19TInmpt5JJvDnfmFP9A7yJ1k0LrBQTvkIco/oiPJQ//Rn1Jf6KUf6h0UmVPJarzNKMrOTNPXJUuWNJsw3kHxLHK+Lwfg85T7Vlu3mg23idAhLQwyMJjfLfDioQz4eB1vtTZFm8kMvvgsHcRcTp9g1NEvmNCBmpkHEOn2PTCefvXTfrs5zSjgkAurExSrThVaxZXPvsUyH6WV5RwjN7ER1jBeE3eZz6mSrDn2gXDtJMAQitSHCas7C3aECtcEu7KOHGexN4Gy+tt7aE8iAcgLppx9gjlvu5DVTnmuo8au/xR7Kxe5DKFAfSxJOU0+KzKsg1lBYP2zCm2l2kuZ83rBlDdp5LQccnV1j2ElpxFynD7NCEA4dDAF3CkpXlSrs7e//e2r7FZnlPejqBI6/LGKJi9rWD2bH4N7DCL5XqPRSCYAz5IAxgXT2PxQGC1yPozbJ73ydQ7hr04CYk7rFPqBc+8iiKvPJGEFSB0sd7msiURfWDbzMzvttNOSA7UIkfKXhij5uZB65wiH6pHWSx3KBN2EgPevnXcAgduk513FYG4qMZl/jcE8IGw1AsYB1OpepPWPgHnWb7gb4p1lKxnF33zh/StbzvfMX1nw8tuvzwfKrLrqqtWhrtwZCeXqM2cwNrufqRNf6mWup1wSOAiweKb5zFxLkcVbGDedvZPbZQgm3OZrhgQYbbvttlWSVXrXnYjQWmWe+tPteKeydvzPcJ3na3jh+4y1ZaFOvEc+AjteDnvzsnrwdIsL7teJYdoztQ/Wb5Dwz/Bj7Fbfcn4uqrwD8GvPFL7O6mF85kHAIy/nFeJ/eAms8Ra8DU/ioeB+JiuFeCFeRcHI6RHODgF4e5Z+D/WaGADIk5Rq8fr9Sbo2BnJeJ+OA93WSxjQOfbWX3BxQJ/OKuYIHKsXR3Nuqv73MiYzODJHkczqA+YoOYlEv85p6G3neMMeZt/SH7lXP120/euE39Tbq1wyr5m5zr7mVF555u8wHt154Fk8uz4LBtaxHnFzFGGxOxgPJ7/RI+fECeUrye3GP4blMX7RoUcIX1UOnJJvSnSwUl/k69YXexrjgmTAM42eMIvhMo7HceMxorQ+tjA3eL33Ibdb5c04XdvsedKOfqm9QNM0oMKhK/VBMeHXhrF4/4wBGiznX7/V6zWrnhWK577Ws/BRcqwBW4btVZAiGvg5QXyVlJDAxUGbV3S8RZtTPWHCzm92s32oGUq7RaCQ/Aj8c/RpIpR0qwfBbTZRlEZMTi6pnNtO7lst558q8/dSR61qoIYNAJ+8Ak3+3v6FJwRDzamccwETQpIwl+rkcgfp8kO/gI4RLngd4Q04fVkiAxDPNZ8Nqo1O9gxovvPxWOrU10z144zOMIjPldd/v0kqPeCfCtzxTWHfKl+9ZcMBbOhnb8Q+Gb33O5SLsH4FsEBDWa6E8MwiQDer3Jvna756yY3z1cTCMhGGgjspornuZE80DFg7pIKV82a6n9BVzHA+pdnlyei/9yGVmG+KL5P1O9ZhHvbuD4Fk8rLuZwzv1xz2GZTol40ajsVyRd69bspjrtziT/tFtfZ3ydfse4C+96qed2u10byhGgU4Nzqd7vBpYB7m5W8Xn/WCFx8o6xYjrf1/jjUKBwJgiQPllEKh3DyPM3gH1e/PpmsKD6mOCC+t0PT2uA4FAIBAIBGZGgPLLQ6CekxGAMYACUr83n66NjzJSHxPDQCtc6vniOhAIBAKB2SIQRoFZIGhP4Stf+crE1ZD7Jpck+w+tRnBDYdmZqfq4HwhMCgIUX1TvLyWZEWy+eQfUx5mvjZcBhCEkpwl5DDES8qRwHRQIBAKBQCAwMwIMApTfes5sEBDW783Ha4YBBpD6eHlOcKcWzsdxx5gCgUBgPBAIo8AsngPXH/vcnYlgn79DB20bcPgIV6Ja1XEZCEwsAowBqD4AyjEluZ4+368ZQBhC6oYB4+ZJ0Qor94ICgfmEAEXFXl37X+fTuGIso0OgnUGAcoxG15PxaIlBwLhbeQ3wGIDXePQ0etELAvbo2+feS5lR5XXgn3ncmSyjanOhtjPO74FnEkYBKMySfP7Qp0l8ecG+xZRmWWEUDwTGCAEKLqp3iUGAclxPX0jXDAOtjCLwCo+BhfQmLMyxMow7Q6jR6G//5sJELUadEaDgtvIQoBRTjnO+hRjyGmhlGIBXeAxM3hthAWFc5SVfYTCPCycP2cnq8Ti/B5AMowAUZkNRNhCYxwhQblE5RJNaGASWI8IogJan3BTjMRCGgZuwiL+BQCAQCJQItDIIMASEQWA5Su0MAzwGwjCwHKeIBQKBwGAQCKNADzhG1kBgISHAGIDKMTMIWB0fV4t32ddRxhkFUL3NOn71+3EdCAQCgcBCQyAMAt0/8XaGARh2X0vkDAQCgUBgZgTCKNAao0gNBBY0ApRZVIKQDQJlWsSXI8AogJanpOTwwfgqQYlIxAOBQGAhI0CZ5QJfYpA9BMq0iC9HoJVhgKcAj4HluSIWCAQCgcDsEAijQErJARsljLvvvntaunRpmdRX/H//+19aaO7DDp7aaaed0p///Oe+MItC44FA3SCgV3WFV9oo6NJLL62+8OErHyURLN1D11xzzSi6MmMbMEJlRoaBVniWeSI+HgjUecGgevWWt7wlvfvd755VdcPq26w61UfhK6+8MuERxx13XB+lo8ikI2Dero+B0ltPi+vpCMCofsYAwwAjy/SccTWfEHCQufny6KOPXmFYJU/4wx/+UM2rn/zkJ1fIN1cJs9WB3vGOd6R3vvOdze5/61vfqsZ43nnnNdMiMlgEFpZRoIadF5YBYOutt55257DDDktHHnnktLReL84999y07rrrposvvrjXohOd/ytf+Uo66KCDkq8wTPRAFnDnW61sz+UZAtdcc01yoNld7nKXhG53u9sl5Pf7u9/9LjEKEDQZDMTRXD4+RgFU9oFRAJVpER8fBK666qq0xRZbpI997GND6ZSv1HziE5/ou+5jjz02rbXWWn2XH6eCV199dcUjvvnNb45Tt6IvI0CglQIbZwh0D3wrwwDe1wrX7muNnOOMAPmHTH3KKac0u9mKX/3lL3+p5tUyX7PAHEQGoQMdfvjh6Ygjjmj2njEAFj793EyMyEARmLdGgW5Q8iOyevPvf/+7m+w95fEie4F7KhSZA4E5RoDiamW77AYFdy7PEPC5M79RX/ZADAKZ9O1e97pXQtL0n1EgGwjKcYwyrl+2W5Rt6ttC8xwqxz/O8TPOOCMdf/zxY9vFd73rXclK0Nh2MDoWCMyAAMWVAltms/Jt60CZFvHOCDAM1DGDK6+BziXj7iQiQJbYc8890/Oe97xm98edX+noIHSgN77xjekNb3iD6oJGhMB8MAqMCKpoJhCY3whQWCmu5SgxJFSmzVX8P//5T8emGQVQNhDMtXHAgYx1w4AvEnQcRNwMBAKBQGCeIUBhpbiWw2IQoOCWaRHvDoFW3hVxvkB32E1arjvd6U7p7W9/e1q8ePGkdX3W/d15552r7QKzrigq6BqBWRkFfvKTnyR7PrhdbrTRRmmbbbZJH/nIR9J///vfaR3g5vuZz3wmveQlL0kbbrhh2mqrrdL++++frr322mn5Wl1wk3n961+fTj311HThhRemXXfdNT3taU+r2j3rrLNaFan2s7/nPe9JS5YsSYsWLUovetGLEktbqfAoq+8qMA5t1N1uKCEHHHBAZaF7znOek9773vcmro/KdCJtfec736myKK/u6mLZH3uE7JPxI99kk00Saxgr+rLbHYNe8XjrW9+aYFGvlNu1fpX7Oo866qhq8vFc/Bj1j/vOjTfe2Cx+2mmnVdhvvPHGlbvtoYceusLzzpnV7RlgYLZp/PjHP863poXw9ywG/R594xvfSK973evSU57ylOqdO+SQQ9r2dVqHFuhFK4V1XAwCvT6SunGAQMpI0Gs9s83fCr9yHppt/fO1/NKlS6stXPZMHnjggZVAhG+U+yrxlJe//OXJXPS2t70t/e1vf1sBDtuY9t1332quMg+Za+vzkD2YzkJR+KSTTkrmxV/96lcuK+p2fpKZR8sXvvCF9KpXvSptuumm1dxb97yRL9NXv/rVaiVEXnxtxx13TF/84hfz7Yrf6A+l6rrrrqv6hsc2M0xFZqpjKsuM/7upI/Oe008/PZkr9thjj/TMZz4zbbnllsncesMNN6zQDn5pK94LXvCC9OIXvziVz2+FzG0S1GHrBT5utexDH/pQIlN45rb65WJ4Lqzwtve///1V3/C+8nwbz3e77bZL5JWXvexl6cMf/nC6/vrrcxWVt4g6fv3rXzfTRH7wgx9U2H/2s5912SRlrWThk83EiKyAQCuFNQwCK8DUU0Ir/LqVI3tqKDLPCgF8yZxijqxXtNdee1XzijzlvS996UtVuq2c9AXlP/WpT1VZZuJXMpkDzY/0CzzSPNlqfpa3JOW09e1vfzvZCvzsZz+70k9++tOfNrP97Gc/S87IMffTi4yhLtPMpAN1w280iMeoS7wTGRvPBDrok5/85LTDDjskGNbLdNJx8BQyRT96ar2dSb5eqd/OH3zwwWnttdeuDk/ykmDcmP+rX/3q5KGU9RKQCA6EnZVWWilR1ghna665Zvrtb39bZl0eXxbD0CnW759i8k984hOTl+n2t799ooyut956ycu+LGsVEAwe8YhHpN122y1RYDFtjJwS/rCHPSx56WUk1OQ9jYQdP4BLLrnErYoIo9rTT+Pzgr3pTW+qBFDbDqpMbf44DOPyyy+v7n7ve9+r+lxdTP3R5oMf/ODEHfTSSy9Nf//73xMhx/kDxjmVpeP/XvFQtx9CvVITjfa+/vWvN2+dfPLJyXN95StfmT7wgQ8kwq29sI1Go8rjB0qYIkj5ATGiyEtYrzIUf7wHL3zhC5PJ5eyzz67ekw022CDVt1Rob9DvESMG4Zqy8OlPfzp55wh1Jgp98LyLrkZ0CoH6pD6VlJwjIJxL8huh0FPybdqOSL0AABAASURBVB3otS/K8RzwvqoL9VrHbPLbdlE3DMCaV8Zs6p3vZQlQ+AmDnnmXUHLMMcckihwjAUUMT+FGycC79957J0q/337G5pxzzklrrLFGYhg1t1PY1bvOOutMOzvgggsuaM5LzoDBC8yz6ullftI2xXfx4sXVnI+H2J62aMowzcCsvkzyGssznvGMas7FUxgfzK0EMStD8jIo6I+6vMPixutet3XI2456qQMmeAYDyvrrr18Z2i+77LL0uc99rhLCnvvc505rxpge97jHpW233TbZA8rQQmhzaNa0jB0utPnYxz42EWzh45BCQiuBlExw4oknNkvjLfoH81122aUSavH9RqORCI2Lp57L5ptvnj7/+c+nRqORvDv4hD5mfu13qY6yXg0QOKUzMLnOpI73ve991UJETotwOgKtFFWy3/Rcra8YwxgUkPduvpNxtsKrFTq2ENRxxCth1ip/pM0NAvQVcw5F2hyee0EXsRhmXjGP5HShecacc/e73z05U0Aec797nfiV+xdeeGF1/owy9BwG1Ve84hXVPGy+l6cd0eOUozMwwNLZLOCau5Xx+yOv0w/wJEYLSjs+e+aZZ8pSUTsdSPvd8L2qkqk/zvih601F2/7XZ3oJPsNgfbOb3SyZvxnaGYC1mQt30nFmo6fm+udD2JdRgFBLKLvDHe5QKdkmMS8igftBD3pQpQhSzgFEGGNFf9aznpUICV4WjD0Lal58+WYiD9PLZJWHkk94YxR4zWtekyiduTxPApMizwL9+e53v5sowFYqhPoi7/Of//zknrgX6qKLLkoUWdeIMEKQ01dtClndTLoz7T01RsKhevSVMCPux024EWccUJc+aPshD3lItWKUBT55OlG3eHSqo9U9z4iyj4w7r0qZJKzesQwSBOFrjytcHYLF+FHW59ok8ctf/rJ6R3gKGD9vi5xvWO8RSyrhmsBtxYfhg2HHBKNPlIzchwhT8hxQiQVFlkJbpo0y7l3x+/AbzocLzqZ9xgGkPjSbunotC8v6NoI63r3WuRDyMyhi6OZtRgFK38orr1x5i51wwgnJPOv3zcj3mMc8JvltM/7BhjGYsZLQQtB26BEj8S9+8YvEaIxvUFTltZpMwRR/85vfnMzHDAeeUbd8Ttl99tkn6RfvJP3K7fGc430lTyYCnlVz3gHedXyAgdyYG41GYvhgxLjf/e5X9Qdfvc1tblPFzcXq6bYOedtRP3Uw1my22WYJH8DbKNSrrrpqZUT2jLTluTHawMHqCxnB8yEXiMszE1HkGZa1w+uMMPz973+/4vfkDQaTVnWY+/Etsgc+ecc73jFR3Bm59YmgjH+ZB/bbb7/KIMRgrC5yinfMO+M6E34obnx4pDgiNAsXTxkchEHTEfCszeNlKkW21Sp3mUdcWc+BPIekzXcyTnhRvsRnGi8cGQfKfHArryM+9wiYL83zmT/pEblUiMxHQkT3MM8xfN785jeXNI3a8aucyRxF9lWP+Znsa2EE38D/cr5OIb0M/5TfvMngTpanON/1rndNdAOGDLqXOZ0xlX5GZ1Iv3txKB+qH36ivE1kA1hcGFnO+udocv2TJkkTf81sqy5u/5UHGkXmFvOZ/9/Wfzternlq2M6nxvowCwNp6662rFY673e1uzbHf//73T5RECR6KkDVM6EVaaaWVRCsrPasZYSHnr250+OOlplBa9ZVtlVVWSQQ5gpOHKc2qu5XgvKItDcnLYiSe+yU+E1mZYqmTj2LiJRNnkBD2SpRSgh/Bc9HU6lEuv9pqq1XulwQpindO7xR2g0en8p3uWaWyyk54JmzLq+8UGytthFNpToT3TDbaaKOEkUnLZLXGCoxr+RhcGo3GtK8xDOs9YoDQLrem2972tqIVsZY+6lGPSiynhNUqMf5URoESBs+ZIlumjTJOWPc+YTTe8348BFr1l1EAqR+1yjOstDqeFBpK57Damy/1mtvN38ZDmcgn8BMA8hx6y1veMjFWykNwETIMMiQQrMxl0hABmlslowElXlo76mV+UgdlVP2Etsyn8I8PfvCDbk8j7eMnlH/zY77JO42xmxGBUJfTW4VzVYezMqwUCfXrnve8Z7U9S5wQKvQcCF1W5ksejydY6ZdnJsJneRVS5Ms6rEqZ29uVp6Bvv/326YEPfGDl2YevkgnwcHysNHbyBOSN8uUvfzkxyPudPuEJT6i8CGzX0Iax4Bc8OBgqrEZJR4wCD3/4wxPvP9dB0xEwj5cpfh8U2TKtVZxiWy/bKt98ToNBN+Or48mY0G3ZbuqPPLNHgFFALeZEIWIUYPQ1n5VGAYozjwLzmHy9kt+Y1fU8z1lwzO2bU7upj17Hy5gxWlmGUnMufeu1r31tesADHtCsxpz+0pe+NDEg8Mxt3mgRGQTPKqvlwcBIbW6nUzYajeo2Ywo+rN/m/iqx+FPXcQalpxZNTGy0L6MAxYoAlBm1SQijJPzkl/tf//pXBYoXxkvKSkWgI8yxgnlh7SFfffXVq3wz/WGpIvyV+dRNQWUZk07gtyKgDdf2k7LMsRQRLqVRNIQzEUXEdoMy3+Mf//jq0spIFenxTxaYCEr1ooRBAonVkPq9Vtfd4NGqXDdpdSZDENIv6SaLsg6GIM+c0l+my1teExwZP0rshvEescZaWSKw8mQg7JX00Ic+NBES87Mo+7gQ460UU9jNJRYUdr9lv4dB90O9SBto0PW3q898Vx9PK+zblV+I6RRrv9dy7JlfmDvKdMq3a8YWYVYoGDbL37+437+6rTbL24600S2f48LI4Gser/MpSmY2bOS28ADCDIXS/Eq4IQzaVsa7Qb6ZeNVc1QFTQpc+ZiLcinMpFWal5KlPfarLacStc1pCmwveHW7xphCWxNhTXpfxOu/xO2dkYbz22y/zimfhG49zTQhmELD65DoL8gRJ1/idkKeJlalcXlrQcgTyO7A8JVVbfMrrdnEyZbt7CyUdBmim8ZKv11xzzWnZ8vw3LTEu5gwBi5U8lni+6AQexCjAIIk/mHvwEPdsVWYottrvulfCU7jQl+V61V3UUZ/j8zuF1+KjJVn01d5MPHUQPEs7meCGf9piZl4u+2T7IKOG+d+CcS4jrPMIuqTf0Wz1VHVPOvVlFDBoLwijgJMx7zm1UmDVhqtltrh46eWjXHMl96NQhrXJC+oBWDHP7ibydqIsdNTzUDa5e+Z0iuDOO+9c7YcmiHnYVmSygJH7lfO3C734rEzl/fxD8xKW6d3GWdLkbbdXW7rVKQKJfJ2oWzw61dHuHkW/vGelhFDVi7J473vfu6yiisOvjp13YpDvESFNYwRrrkB1sp3DfWMSLnSqK6Z1xXXU+JjAtdlKeJc+CFI30hYaRJ3d1NEKW+9pN2UXYh48Av9oNXbPr0xvNG5aIchpeR6wWlCfA2wdMw91Mwd0Oz9lIyPPltyHMmw1d9pnii/yZrKqTdFl1M7GgG541VzUUTcMG2d+TnB1zS1T2AqPVljIW6csYOLx9XveDYaderrrOv/qhu8qxzAjZBQQZgGe8M4TwLk/DCK2/rnPS0AYRgEorEh+O2VqXXEt79Xj3SjD9TLz8bqVYaXVOOtKjjz5/RUPmlsEyL7md4uUFq7MbXQVRlNnsJnruazbaubcNMYCfKGfXreTvdWV52fxTlSfQ+XNPNW2gjpPzQux3fDUQfAs/UG5T4wB9T65tnVCvjy3i6P6+PCvQeip6p506tkoYMCsM0960pOqPYSsWdxM7Ink7si1RJ6SrBCzuhPAuZ9jogQf+/m4BpZ528Uppa3u2f+RFWTWID8yro1WmBw+xcpvz+lMbi31uhuN6UJm/X4/14wUyvFgENbJWEwerIT1e/XrbvDIZUw4OZ7Ddn1wXx+EmfLkVD8hNd9vFTYaM+M3jPcoKwveAwy1HeX9Tq36vlDS6gYB426luEofBWGW5oj8DIfZpjaQ9rQ7zLbKuhn+ymsr2+bCMi3iNyFQn4duSu3ur2crp0Pw2s0B9u/L0456mZ+y4tpuXq0benkJ2PJAaGG0tqVJP52fwJDdrk9l+lzV0WisOLfXeUwnPOpYlGMq4xYcXOcVNPFMfrPtBNz6e9MN31Uvr0MhAwAvQbIDN14rUIR09/AVixAEekYBArjzJ9wLWo6Ad3n51U2xVorrTXem/21nEGAIYliYr2R805Ho7Yr3aFkCjqhMi/jcIcDYaD5hVDS36AmDAGLgNM9QTOkBdCT3+6FGY8X5udd66nOo8niqudRvux05pFDedjQInlXWrU+ubR1o1yfptlDIl6nV+Aahp+b6JznsZBRoOy6KPQVcaO+mE3yt/mOqXOoU9PILuYsTzLhWss44qMLJkCw8TuXEWLPLofztiPBUv2fCo9jkfe/cL61QsGTZi+hFsZ+Ua0u9X/W6RnFN2NAOK6GwJBMBjFZdddXqzIXyXqt4N3gox5W1ldIBf/e7IQKefeZ5xaUsY48Rl1mCbZneTdz7M+j3yF4nP3h7QO3VqhOBlDdG3Qukm/7O9zxzaRCALQXdJI9cD5u0wwCn3WG3leu3jcBvKV8LGQaEQYNDIAsBjKf1OYDB2N7KmbzUepmfzO0O3s0eA+VIzL/1s2ycxdJoNBIh0BYFPEs/zV3d8qpxqaMca45nRbkVHnl8OW+7kGLuHjdQYUmt0sr7Zdyzcd2K75bphELXiABPlnBQIUNPaRRw34GSjErcYRuN2Qvh6pzPRJGf7fgYFeYzzRYfRgVU1sN4VV5HfO4QcFC5FWkeHLwCeB15XoyftlYzCtCHGAjMP3PX09Yt46mMsbZB4FUl4X311fhWtQyCZ5X16pNr73nZnxzHdy1W46vytaNB6ant6p+k9GVGgd66DGglKNvCTBRNJ1W6dqCEkFsHd828H08a8kPwIjEkEMyldSL1sNCXefJBUZlht+sXodsJk8rmfon7gQq7MUrI1wu1qpubvDocwsdNSDyTvaTSYJXTOoXd4KG8bRCMDQQc14gwbO+MeLdkVcuPnutPWYZRiJdImdZtvN3zms17ZB8UQY0bU32MjAEm5vwFiG77OR/zMaahcmxzaRTgakp5oqiXfRp0nBEK5Xq1h9GN0jBQx9m4c38iHAwCPo/H8MdbjCGwrNVn6nioMSLn9FbzdS/zU6PRSBtuuGGirOZVoFw3TzrG03wttG3EXGXlxXUm86u5y3WdV+Fj5ep4r3Wos06DqKNep2vnMTj8yYFXPPWkZbJFIsc7hdxtGXkdDujQyJwXv67LE/leq5AQS0bguls+c3nxBH1krNOeNISHCB1aS0i3mufaMyZg+gwXfj2bFT31zUeyMmc+L8dGmS+vIz4cBOo415/DcFqNWrtBwCKobda2BzAo8jrK5cQZS32RxkGz5PZ8r1XYil+1yjfItKy/1OdePOlFL3pRwnPxk9xmqz663wvfy3W1C3nV8b6kh5Q8Qn5zvfNryADalNaO6FN0r/rYetVT29U/3unTe9eXUSAf/OPTbofVlMC+AAAQAElEQVQddljygtu7iXFmN8KscPikkD2EXnYnVHLj/+hHP5qc5EvooqDN9MB02YvnB3XwwQcn1rRtt902HXTQQckKtTrkwfgJgpj8vvvuW31yUFt+cF6YRqMx7aR1bvFW7XxSwyeJeDCoZxCUf9ROWt5ll10SodCKus92UKIJF75uQAi0SsTthsLa7dcHusHDOODPa4NSv//++ydbK+BIUGs0ul/hgCcFyo+fQOQZ+PSW8RG68p4ibXZLw3qPCJ366osTsNdXadrjkeFATD/2bvu5EPLVFdVRjpngQjEeRR8YxBgFhMaIcXlXRmkUoIBoOxNlz/jzdYSzR4BwzIPNvG/V2ieWzO++QGIetJKAf+WW8nyNXziThhHVfOG+fDPxOfnwHd5w5lrzJUHDOTu+dsD4LU8mHmzeQXO/flk98mkl83X+HWQeqoz+mccJLuYyab3WoUydBlFHvU7XeLrVdO81IRf+eB0lmrwgz0ykDgYVvM5BUni++dyzzb9XCvtM9bhPVuA159kwChEYyRLOCfAc9A0fkxcRNp2dwNPBKnfmF+YK93gpMujgpfIHtUcAfu3vxp1BImDlGZV1elfL64jPHQI8AOg9ZBD6Su4JHUXcszJHinci/MD9kl+5HibRkdZee+3k4HZGU59mt/DGmOrweF98cUZO7kPuIx3BvE0HGjS/ob/5Cp05nLc63o7v8hKna7kPo9yndiG+Owg9tV39Y5PeRUf6MgoQtghOVnQJWc4XIAS95jWvSZgoxZw1TPsYrbiXhTXHXm4vzw9/+MNEufRJJvlmIl8q8CJql0HBCZ1OvC8fOObjKwOECS8FJZzi6sRqwiEXHS9v3htPoPASERa4iurfTP3o9j6FlCBjnF7a7HpPOGJAIXQSCAkpp512WsrbKrrxmtCHbvCQj0ALA+4xPr/kB+qHQjBrNLo3CvjB+MoDgWjp0qWVUYdyzTXTQUxWdLTXCw3rPSKY2w/MSKWP3hfCuVUh7ynseunnfMtL2UDluLIiUqaNIj5Kg4DxEOqFmLIQSfO70xfXo6A63vXnMYo+zPc2zLsUP4IWhdJKBuWeQfbYY49N+ETGgHLIwGxPP8OpObmX+Uk9lEh8CT80RzroSHv4inlSnkw815zHgzfqF4OwQ1AJWniYfO4Jkc8qObSPASF7yPVah3rqNIg66nXmazzfIgCPAfwQryMflOPKeduFMHIekWdG2LMVUZxSr4zfrnAmcpo2/sVA5LBjguyuu+5afVqLd2M2AOV6yAZWmVyXwrvrLMCro3yH3FvoFF4Cc/8G1I0Cnsnc9yp6AAGyqJC3kXlMHNFV6CHi3RgFWvErZYdJ9DpzMb7IG44cvfXWWydnJGyzzTaJXlO2b86v60DD4Df4p60XjBB0HHyXnM+Q67P35bawsn9lfFB6alnnXMf7bb8vowCGSZm3V4MgzWpvBZYCaksBtzp7JXOn7J3x0Ai+GLNPxjk8iKtGo9GdYkpotxLD1Zdg4SsHBD4rfbkdIa8B9xgB5LOnlCJOCKegW7ngxiMvYv1SJ4WRACONEKmP4iXZW88TgmBWpreKa++ss85KcIHTIx/5yCqbHxactGnfO8MKyyGjRJ4Uqowz/OkWD/gQcilBmIP+OG+BoGblCaa5KQKX8TEA5LQydEI2YZlRxdcc4MQlM5/pIC9hWx2tfojOQdC+fGiY79Gqq66aTFxcTY2bUca+I1+80HbQcgS8q8uvRhPz/nuX/B5H2b7fg98OqzXrch4t5UKf8vWwQ4a5so3wFijRSMnc0moO5nFmfsl7CXMpSr90gkhOazQaieEYr7GFyvyPBxFi8n71nNdc5BAk8yT+QfCR1gufUxdeR2HVju1u5n5ul/ie+U8exIBAyTUn2XLAGIEXWEkiOBoLt0d5EeHKGORn4JXWax3K1KmXOhjX9ctKUb0efNc9eJf3CGx4BP7qeZqH119//eqzsKVBvyyT436ffqcUeXv7PRdjx89zHoJfjjvkWB94JOa0MtR/XoGeMbkFL2Icrx/QlsswzqjPgcg5TcjgI52xx3VQewQs1LS/G3eGgQDlqKzXXIrKtIjPDQIORTd32BpW6iFkf7KQe3UDsmvpeF/uNd5U51fmN/lazc88fN3baaedchUtQ9u+5GPMbpWBxxvvLXqV7Q7OaXHmirmSDFWWIdfVdaBe+I268Dz6kThiyNU/K/uuM/HYck6QOR0/tU2BDpgNuzlfJx0H756tnprbGXE40Ob6MgrkHngJuPJZmc1pnUIMHJPww+iUr9M9LyWrf6PR3phA8HeYlHwscp3qc88PjMI/DKu/cxNYobRTUqPRSBRXinaZ3mu8GzzUCRMus56Z69mQbRe8LurMp9869WlY75HJ1rgf9KAHTVsZ7Lev86EchaUch8m7vB52nBGRUE45H3XbxuZ9E1IOhMjvQzgqw4AtBHXDQP256E/QYBCwys71EQ/qVKN30kpbo7Gcv3hfepmf1G9eZnjAW1y3I0ISoyojbbs8Zbr89fdGWi91lPXl+CDqyHW1CmHaK99nSDBW3oX1Ohm6pTEwCHshz8bzVHcv5SLvzAiY18tcg5IRyjpHEbedh3JlQWEU7Q2yDb81VNY5ieMo+x/x1gi04letcw42FV9jrLDYOdM82koHGha/saULL/RVmEZjOQ/vZfRkhNnqqb2011ve4eeelVFg+N2LFgKBQGCQCLBGD7K+XutiEEAUrbkwCOhvNgBYhbQaKQ1hsPomPgqqj5+3wCjajTYCgUlAwGKD1RsefLbX2ffPE42rKoXN9rDnPe95kzCUBdHHVqvRdeV0EoCgQOex1I0ck9B/fWT0EmbK48nXEQYCgcCYIzBH3QujwBwBH80GAnOBQF3xrCumw+wThRsxCKBhtjVT3QwA8pTeAvrEUwC5N2xq5S0w10abYY856g8EukWg0Wikk046Kdnv7wsEziTgBss4sOWWWyZbCniCdVtf5BsuAra2lC1YbSuvIz46BBhjUNliGAZKNCIeCIwPAuPUk7E3CtgGYF84oWCcgJurvgQec4X8/Gh3rpROKy4MAtykKd9zjWbuQ+ktwIOAsUA/56p/daPNXPUj2g0ExgEBW+y4cjtPwFd77Bu1zYb3wExuq+PQ/4XUh0lXOvXfuyYsn5s03gNl2iTG60abSRxD9DkQmHAExr77Y28UaDQayR5AwvrYozmCDjYagccIYJ63TdSVzlF4CjAIWH1nEKB4jzO4jAX6Oqo+1vGfK6PNqMYb7QQC/SBg1dMnpxym1Wg0+qkiygwZgboyXXdhH3Lzs6qe4o+MAZWVucbDbFmZJONAHX/jKMcV8UAgEBgmApNZ99gbBSYT1uh1IDB+CFhhK3s17JU2ynX+woCD3sbJIFD2pdxCkNP1vcRqWHFbCMq660ab8l7EA4FAIBAYRwTqyjIjzjj2s1WfKPvdKsyMA/WxtqpzHNLqz6DbMY5D36MPgcBEITCPOhtGgXn0MGMogUAvCNQV0l7KdpOXAMXDp74a3k3ZUeTRN+3YQiDMJH2UWwjqxpnwFshPIsJAIBCYRATqCum4jqGVgq/vzkPIVO87vjYpCraxlP2flH6XfY54IDBOCMz3voRRYL4/4RhfILAMgVF6CuSV9nE1CCyDJPmEjXj5FYJRbyHQflAgEAgEApOKAEW57PskfIqQQaDsNwX66U9/ekJc7zO9/OUvTwwE5fhsNSivIx4IBALzDoEFOaAwCizIxx6DDgRSGqanQDYKjDPOWflfZZVVUt1bQL9HNYa64aRuvNGXoEAgEAgEJgUBCvak9DX3kzGgXb8ZCOr3JmHVXb/z+IQMIcKgQCAQKBGIeEZgYowC3/rWt9JOO+2UzjvvvNz3CJchcOWVV1bYHHfccctShh+84x3vSO985zuH39CQW/BliyE3MRbV113S6y7rw+gkN/xh1DuMOktPgXyuwDDa6abOOFegG5TmJs93vvOdaq49++yz56YDA2511PNfL+3V8/r6ABngrLPOGjAKN1X3v//9L9XnyZvuxN9OCNSV47ry3KnsXN6r93umvtQV7Jnyj+P9Xsc8jmOIPi1HoD5HLr8zu9gZZ5xR8blzzz23q4qG1Q+N1+vefffd09KlS93qj5aVmjQdZlT8aWKMAowBBx10UPr5z3++7JFGkBG4+uqrE2y++c1v5qShh4cffng64ogjht7OMBs49thj01prrTXMJsam7rqiOUwvAYO+5ppr0lwr1/rRDfnsWd1TgEFjVOcKDPtZdINB5OkOAStt5lqfxuuuxHjmuuqqq9IWW2yRRvWpXwINYW7rrbfuCpBWc/OFF15Y8bmLLrqoqzp6yUT4XXfdddOkP9dexjysvJNiFCjH302f63km4RN/+ozKsUZ8fiDQao4c1Mhsq8Hnfvazn81Y5bD60Y5HHXbYYenII4+csV8ydKJJ0mFGyZ8mxijQ6eHGvdEj8MY3vjG94Q1vGH3DA2zxXe96V5oExj7AIY+0qnL1vZeGfQ2AC70Q9VK2n7wMGPVyozZo1D03YsWy/kTiepAIWAk6/vjjB1llx7r+8pe/pHe/+90tt+m0KjjquZmB28JDq75EWmcEFhIPdbYAJVs4qZ4D4S3Q+X2elLujniPb4TKsfvTIo9p1r236JOkwo+RPYRRo+8rEjU4I7LzzzpV7Uac8cW/hIpBX33sxDMibjQFWz+21ZxSwPSanu5ZvEMjWFf+yXp4CrYwFg2g36ggEAoFAIBCYWwRKpZ6izAtoph4p4+wB4Ux5434gEAgMA4HB1Bk6TGscezIK/PWvf0377rtv5XZoYmRp+fGPfzyt5r322iu9+c1vTtwFp92YuvjlL3+ZXv/616cTTjhh6mr5/5NOOiltt912aaONNkove9nL0oc//OF0/fXXL8/QItZPO9/4xjfS6173uvSUpzwlbbXVVumQQw5J//3vf1eondvwbrvtlp75zGemTTbZJO26666J1WqFjG0SjJ1ryqtf/eqqrcWLF6dWWHGPgcfpp5+errjiirTHHntUbW655ZZV32644YYVWrBVgOvMC17wgvTiF784HX300Svk6ZTw9re/PR111FGJW9BLXvKSxJ0TLrlMN89YXn3dc889RSv6/ve/Xz3b3/zmN+nMM8+s4k996lPTK17xivSVr3ylypP/9Prs4MBSts0226QnP/nJaYcddkhf+tKXcnXNsNs+wBDuBIHrrruu6utHPvKRZj0LIVJfmR70mB3exzAA61LZbtcOZV9exgCrMEj5RYsWJeE973nPtPLKK6ecj6GgXV29pq+yyiq9Fon8Y4TAPvvsU/GcG2+8cVqvPvWpT1W/7foK8E9/+tMq3bybC3Q7x+T8wlNOOaWaP/HCt7zlLekXv/iF5K6JG/wBBxyQNttss/TsZz+7mv+tqNcruOCCCyoD7NOe9rT0vOc9L5l3//jHP9azJfss8R1z2gc+8IGKT2+66aZVemng+uQnP5k+/vGPsE2ZGQAAEABJREFUV+XxXnPhr371q+ran255AN7z1re+VZHkPBs8fOONN0677LLLNDd8ZwDYvynjT37ykwp72LmukzlAf2aam3/wgx+k1772tQmPwdPbnQavPW3bKkG+wEPM9SXfh6ezIvTF89C+eFB/CEzClweMzIo/Ekfnn39+9bvoxjggf9DkIEDeNUeT6Z/znOckMqiFhnIEe++9dzU3cdUu0//2t79V8ju9Jm/DNNfaevXnP/+5mref8YxnpB133DF9+ctfTu3kHXK2uWom/UPbnXhDN3NkN+PVDrIle//99690D7L1t7/9bckzUjf9wF/wBXNvt7qdhps8aupCHebkkkdNJVc4m6/xRM/0ve99b9In9zLRdeg81157bWIEWLx4ccIjyQqlDoOfaKMdX6KTuq+eXHe3fDLnbxWOI3/q2ihwzjnnpDXWWCMRAi655JLKDZBSvc4660zbl0hY32+//VKr/e1+RB4iwR9ABDEPafPNN0+f//znU6PRqJRvP67HPe5x6fLLL5etJfXSjhdAnQSWT3/602mllVZKXgI/gA022CBRznMjjBwUEmNgHDAh2FuzaNGixCCS87ULf/e736X111+/MnLYa0P4OPXUU5Mf3dprrz1NQTahwIOApgzh5LLLLkuf+9znKsX3uc997rRmCIxw2XbbbauzFfxICDkOX5qWscOFl9sPDuaEZj+a/EPo9hmr3rM89NBDRSvCSI3lgx/8YNpwww0rowZDh/0/JuIDDzywyudPL8/Oj9yEYsynn356utnNbpZOPPHERNg12Xi26kTd9sHEzlDhABMGHHGCqzrmK82FO/qqq66aVp0iz5AyX8cW80SYs/vy+u3VlXTpyD2/Q/F6XcO6LpWpYbWh3v9n707gdZvqxoGv3fDm30hvoyYyT72GjEmXhpdEpgwprgghJCGSKxKVMUIpc+ZkqJTSpQgRbwPNhsLbTOVtrv/9btaxzr77eZ69n/Occ55zzrqf+ztr7TWv3177N63fWk+kieIZ2mGAMo5eV5V/9BRNQu/SFj1Lj4Yx67MpjYntoH8EQQIkOnL00UeHVVZZpRQKY5lu4dVXXx2sZ+fs0XXn5Qma2qDUx7rmhW+gtegW3nvoPOPx8ssvPx+PxY/xEobsvffeu7yUF81UXhv60S4jQ8SVM/ToH14krw0PYJjFGxnNt9pqq9JQi38ed9xxgVzgYkBt4gNRHsBr9Wce8qpgjvLhtBNtPuecc8Laa68d8HLt4DneBcNx2t5JJ50UzNuxBUKy98ygzljPuBzLusQ4yho33HBDuOqqq2JWDhtggAGnQbGhLFK343/7NDMOpIaPoXwJ4zwoNBEdYChFV2xc4Q30GRtYsfull1464As2DNM7hugO5PcFF1wwRJ6B1oJ11lknMDI+5SlPCejIhhtuGMiqsU0hGVUbTfQP5Xvxhl40sul89UUPggd8iK4zd+7ccuOtydGybuMYi25nXN14lHzvEQ+w2Yq240X77bdfgOPI55S74oorAj6w8847B+//sssuC6eeemqpa+Lh+KpyL3zhC8v8OXPmeBwFZEA8juHYe5bZhk8qXwfGZV0OG39qZBSwa+9D8TGxyBOELB7C2HLLLRf22GOPUkk1cUqqkOAljGCRUEIXXnjhYMdDOkHKS7IzTnCgPN99992BIERoobQrVwdt+jEWyjDB4a677go+OgvJokAULKbYB8Xfx0E4YK0TmjeCwJLoQ4hl60LKr5upLS7KDqGMMGJO8GjO1XoEFbtFDAIsRwQUig/cwIPyCAs8Gf8FF1wQKMDGbqGKK9MUWCy5ZmubB4QdF2Nr+o679YN4EhSdM4Rj64SbNtzpQ9027+6AAw4oDUV2ewiADBjWyuzZs0uLHwKozRR6jeHFL35x8G4XX3zx4CMXZxxJ28jxwWDAOgaUfsYg3wQQ910ACvGseUY35Zr0ikj7OcEmZduUSQUBa7ZN3RZlGxXtRWcaNTJDCjFwmireJARoKPojjq8II1x55ZXhBS94Qam4SuuHxuALZ511VkmHKb92VxibCYS93h0DgN2Nl770pQG9VxddJ5AK8RDjQt8Z4Zdddtly5z3SejSQke8tb3lLwKuUjaAtvAKPxp8p+wyo2o007qijjgoUd3XsfqF/lHj0uS0PsHPC+E2RxycZxXluwAGep48tttgiwJE444v+KOaeq9CENnufDAEMDOZFIDRngm1sD41x580znvGMYEx4JLyTL9B9eIJP5QnzvO7EL7744vKdiGeY/higMPP0qZvpdDMOxDmSzWJ8uoe8k3fZZZfw7Gc/OzBYknfJ5759NNTutY0JeLAJt8MOO5SyIU8CaXQWRkgeSWiltAjkZ/SF5xm6oX10TXkycCzXRv9Ao3rxhm40ss180U9zXmihhcKtt94a4ISRmK4kHsffKew2DnoO/YXOQl5Hs9FePAHeuul2+uvEo+QBfM17I0fCu5Ax3DdbNWgwEuCZQFlGHG2kQC9FB3gb22xN83jBkQ2tDen98En1Uhhm/tTIKGBRW/h2fFli4uQQ1IMOOqh09ScISHeDL0OBIwIEA2kA4yU0EDq4AWPidjCe9axnlZ4GFAPlAOsPFxuuOJ12cJv2o70oLPjQn/rUp0oqgWv7CiusEAh3hAuJBAjjMy7PwDxZnOzge+4Gz3nOcwKlFwEpiqIsSsHYddddy9vYfSBlYvInWqmEkrlKw5M4oVHoY7eoCcCODkgDPAe4tYi3AR+GnSqeEi960YtCm3fcrR9jQ4QjnnkNGCPlLzKjpu/Ox8lg4l1w/SqKR/D5xCc+MSAa3pM1VB1PkzFU60z35/RbNNf0e/M8nkDZp/Rbb9Y2EAcxvWn/GMt4GAUY/ZqOoXm5XHIiMIAnWc/oY+yP4VecWz5BgRDh+b777gue0dGiKMJYaIzjV9oEaByPLbumaKm0TmCHm5GM8XLRRRctixVFUR5t4waJT+KPdrPsltvZeMlLXlKW8wdvZMjWFzouLQXl46+qoJXc+eVHXiJeB8bdlM+n9RlsCWTosXT8iIGkV3/K9gOEZjxGH0VRlG6vdvnwbi6d2iQkEuLsxuDJ0gA84g/idbxYeoZ2GLAO0xrkpfR52OPGu/322wf8qG6s6IXNB4aluvxhT5sqxznGA49kfgqdjS9G2NgHes2oynCKHsd0yrxylFeGTko++uGoFHoTywmLoii9BBZccEGPpQeyejbcKNZl4rw/bfQPY2nCG+Y1W/u/zXy55eOHjOJ0ttggvYgRJD63DfEucjm53cYr3hzbaKLbxbK9QsaXuLb1ZaNQHYYNYQqOEJATzJM3XpoX4/iFOD4ojODdL7DAAoGBQ5r8fvikuhGGmT81MgogiiYDoRT1FCwAHwsLlzIAcrl3sBR5BhArlCck3NtlWHfddUPdrp9jBcpxIxHWgbZ69UOBsANP4aaUpmMXX2qppYI5RAGGsMjln1Bl98C4WdRe8YpXlK4p0X2objzS7E44s2IRIUYsU4wJPhL5rJPCFOCV8JamscJ5Nj9hZEh1H6udIGWaAhd8u09p+bbvOK2bxusYa3Uuyjd5d949D5PVVlstsDR6XxG479jxsY4QUW1GaDqGWD6HE4MBzJOBAIiDtj1733X0om07yrM0CwE6IewbxlixSlfq6MQYu5i21eGOomw3OtJLBgIKN8EPfeexBAF2lYUpf+mHxtTR3OgBh27poxPYKSmKouQnaRlKNWM6RbYoinLH2g6Xo2VpOfF0/J4j4Dt4WnwW1tFf6VXolwdU6S1exvAX30W1n7E+17l8r7XWWmWzPEREGPsJ5tEAQHHltcfDAC9RJn9jsJAhYsC66mUciHJYrDMVQ9/CVBx3P2OONI3yGGXHGKKt2kx1F5tZlE08wVEAnlg2DRmOlE2BHMP1Pk3jecrgwNhAvyFXtNE/mvKGtM803ma+cS0PQqdIx0BGM/ex6HZpe3VxG63LLLPMqKwqD0gzfdvpc12ctzaDjvcf820W85rAb6O8GnFMb4trKYZkjao+HNtKw2HmT42MAty2TcjurA8lBa6BPiA72coAu9wUz4hcu5QUY8JNFFh8NMrapRZWIabbyanmxecm/cSx231Jxx3j3H60F8fvIhDWPoINqx33IgTB2SGuJcp2A64l3EAtGATCy4cj/VgwoFqfJbKaZtFLg1sh44KQm4swBQaP9LlXnOus95OWi3hq+o7Tumm8yVyUb/PufHDxfaVhdA+urpGmYzCODFMHA4ixXwUYlFEgzjwS+/ichph6+iyeYfgwwJiL9vJIQzOdYSfsEEyKohg5f+/ogPfNQ8UsIt1rS2Mif9JGBHRVnBAo7ASMBnY2rOVOZdwrYCe7rh91YnqV9hF0i+IRjyrlQJWXSKuDiIu2PKATvfUe6voZa1rEc9pO5Gdpn+gFo8Azn/nMwEjhnTPa8yhQt44XS88wszFAgehkHLCm0mNKMxtTwz/7SNPIm6nsKM7DyQyi7C8O6Ck8ttAHG1LcyqVXIRpbq+lkdHTIbnLsv6n+0YQ3VPtLn2N/TeY7SJ0iHcMgdLu0vbo4Iw8jeppXxwNiPg+xGO8U4pO8/1y86IiJclGHtYnpGUQct+WT6qaAlgwjf2pkFIhCOMWedakOnNGLEyYk+Ojs1rgl2SWCdg1SxBLMlI/ufuIpOAfimWItrIMm/cSxExDrxh3TeAXEPri4sKY6e0+IYJEyP0JFXCyxbDXkesN9Urp27PwgOqxnnYTAohgtxKmLIAkjEGrE6/BFgJTXFOLHk5aPeGr6jtO6abwoes9F+TbvztGB+J7qwiWXXFKTI1AUzcYwUiFHhh4Dvh8KelyngxgwT560nZrvM80e1zjDadpB6nKXpud4PQbs3BdFEfAc5+md2eM9QEm2m2N3GJ1kLHAMjtFXS3E9taUxdbvM1qc2GZGFncBuVNW7qVrWWrQG6ui9sp34Y1H0T/siLtrygKLov09zaQtFMX9/1TYI1wz5vBXdJXTiiSeW9xo4RsKVuFo+P2cMVDHQyThANiSHVMsP6zMP2XRsvehTWnaqx9E0uob31Qls4qXzJOPTWcjJji/zFk7zY9xueIynYaTNjAb6l9dU/2jCG7TXCfTXdL6D1CnS8ejfc1vepU5TKIrePCBty7tMnzvFo47qiIAy3j0DvPfnGcCxsC2fVCfCMPOnRkaBqHT5CAhYKdj5d4YjdcU1ccjlhu/jsuPOxdMNxfLAEkssIQip606Z8OifmM4F9NGk2qBXP84HWRDcQNJxxzhB0fkOVifj5WJo14jViFDpZy4cLXCG0xzdfF87kHmJjhk4e2ZuLu5wzwKLozHog2HEGdF5RVv/dxGUSsYiTIFlK33uJ97PO+6nn7ROr3cXx4SpxfeVhnbSCHneb9pujs+PAd/f/KlTI4VBACDGvstBjjoysBDqW+2VX18rp040Bgi6dnXs4vEWKIqivEXZODB0uzYYPOMLV0DpoF8aE72UtBEh7rw41rD7oUgAABAASURBVBTT6kL5+E50dU/LuCXZ2Ue8RDll6oSrpvwxbbtXPOKiDZ/v1eZk5bsZnOFFSMBz+zf3UpsMkV/2y4sna07D2q9vb1jHNohxMQ5Uj8jY5RtE27mN8cUAmsZY6zK9VHYUd0lg1dMKf3DkjAs4A7IdaRep13l/qcs7rToDMjpFkkGa7E8+baJ/aAfN78UbyMPK1kGb+Y6XTkH/MbbIo8RTiOm9dLu0zkTFfeeAwu+IMq8H3uLWQxwDHIuPhU/iS8PKnxoZBdxQSWl2g7wFCyERDjnkkPICBpdyxDQhTwEfFCXZ7o02nv70p8sqwUdK6faTGNW6FGg/FWGnxK5OWaHDn1792BHiWmq3Pt6+HJvSjwuSuIpJ8+K32WaboLwPXloE54fEuSIK64CLkHTKi7Od4hHcxileR0Sk9wLHELicwguBMS0f207T2sa9n7bvuG0f1fK93p2zWYgroY5Qn9a3ZuwOWpPecZrXNE7BxAS4ejWtM13K1e10DuPcGAOAbwoMZIyPNsLIR+knNDyalIMpjAF0GxPHcwh9hDLTYRQQche1A2/n2DPol8a4QMl5U20Aa4kBWftcAqV1AoZiedUdKmN3Hw33RLxTO/gFGqd8BGl+xsizo2nCtoD2qcNQLQTjyQPq+tNnJ1B+LLSZwVjbcQ2IA7jlPSAOj0KgP2GKD88Z2mPATnr7WhNfwzgZEe0g9+qdYaDqRq5+r3o5f3IxgIYagYvmhBHIfGR9NC/K7fJ4+TIa0mt4GrmXBJ3njq+OMhFsSFV/BtWmIVmVbqMc2RRfaqJ/KN+UNyiLZlVpZJv5ugS8KIry0u7UQEpZxd/00QSq4xiUbqdd/U80TXZRvDXhsnj9xwsMxYE1M1ZdaZj5UyOjAILI0m6xsy75ECx+rvJuUCaA2UmHsAisYyxuLn8iMNkVjnkxdNMn5dmH4COk6Llkye306vAysMBi+bqwST+UZgrFTjvtFNzE7FypNBdDcfVx+RBln1FAPo8BCqvbn93QaW4ESgpENyHMPQLOE3Ff5aLIZdXPBzqaoA/1KSDpB1g3p7o0xMVRBMrcGmusEbwD+LHr5WhDXZ02af284zbt15Xt9e7sbvvpLGvBLo+1xouDqy/rnXw3bde13SSN4O1deKfWQ5M6uczEYYAxAPh2QT89d6vj+IDvUR/KRSYkbs0JJwus7cnqe6r266IgY7dTE4Uyz4Q775YQL52LpnQAz/3QGLc2MzYwQKDxBCwugY6M9doBIXS4Afn4448PfsIQj6H4M1YQPCMt0pZdCXfcMFxTZp1x1Be3VpfXVhUVc2oCaJ9y6Ofee+9d/lzXePIAOIdrlzb5OSryg/47gfGNhTbj7drGu0877bSARzoDut5664V4NM8RE2WA/oSUAjIA2uA5w/TFgB1XNMGufxPDwHTxiIhrffq+2cdmhtasvPLKAZ2mnPu5OpuDNhvdEeZXwfwClxr0Aju4aDO6IY0CuOWWW5b0Ax2WFqEoisCLwC+w0V3c/M/QYAOPbhPLoefkl176h/JNeYOy3mOVRraZr3keeeSR5dzwEbvjvOncqcDYoI8mUDcO8x+rbqdd/ac8yvN4A32NvEB/szZ4b6R9DoJPDjN/amQUgBCCE4UdESXI+FgwWwKK3ymmtCqXQjQEuOTBhU9pnrgb8N22ydDgg/Kh7rPPPoHLDQEoIk7ZbtCrH/0T2AgElHM/U+WuAJ4CPgoffWyfIHb44YcH82SoQEjs6Cy22GKBIBY9BmL5NLRLRNhxB4EzjARQC0w/DAU+eAYHbklpvaZxC9RRDB4DCAxjCgH4qquuatpE13L9vOOuDTbI7PXurDMfJwLh3TDWeGeMOITxXgJ4tyEQqhlxvDNHPbqVzXkTiwGKOrDWMdQGvbcu4ntlZAPidQ0w5NWlDzrNGAbd5kxrj1EW7zBvtFcIKKMEHXFGVGEK/dCYM844IxB67CJsvfXW5S8FEITwsbTtujjjsyMO+CglH48hWFoD6LvxqGdN4jkMoHissYvbySFoMlQr1w8wvBu7O38YJ+bOnVs2M148wJwZdeGM4M37q+yww5+x0mabGIwdPANsXjAM4RuEeDzTTk/KN/FTx08c+4MDXhsdhpaTKxiYqsoyGS9OJY3HtGpYLcOoUC0zjM/VcQ/jGMdrTL7z6667LqAHPJbJ+mROMjh5nKFQ37xv0WPKINpuw0o6IMvzOEJvyfHSAC9WNB/QXbTF85hxIZVZ2ugf6GQT3qD/OhrZdL7qA8YPm588o22OMT67yNWc5TeBunEMQrfrxKOajGksZfwCAZ6sDWtFWAU8oq0+nLZhPQ4rf2psFCiKIvjNzt/85jfBLgnmydLu46IEpxOOcUIaqzzhvijqL4bw+8J2Dwg6t99+e7Bzz6rPchXbETIWaCu9l0A6aNIPZR5R4IrCKozpI+rRRUQ7EQhoiASXH0TA2G688cZg1yaW6RQSLJwtNedYl8C1/PLLB4KcOURjh7l7ZsWstufjlAfnaR6B0ZELhoZ77rknmAeBV1kWtbRsXdw7IyjV5RVF83dsDUQXGG2xuBpD3Ud0+umnl7szCIWyKTR5dy54dG+FteGcD9ceXiuOD6RttR2Dd2Ue1oGzu2lb0y3uKE46pzaW4LTeRMR9O4BBAJOev8/BpCD+KaStTvZOYfV9pWPL8c4YQLPRIUJaWgoNlk5BTNNjvCmNwcy1wyBL2MQn7rjjjsDjhHdYbK9XSGhkVMePnLEklKGnDAxpXUYp/EE5fAWtUh4/TMuJE/7xBPEUCKXGfOGFF44kEz7RZbzNbfzmJbMomvMAhgrt1hlmnaGFG21GsIsFT3gX40dMrwvraHM3+o73GYtdHO2Z37HHHhu4+JIr0BP8gxBMwGecv+GGGxQtAR1ggFFGHfy6zMh/WmPAGm1daZIr+HZAt2FU52Wjolv5nDccGHCPCCXXGXBHA9BP97Q4qoUOG6WLr71ffL/67aMXaBnvQV4HykeINA1tJlvz3nXBYMyPYRv9w5ia8IY6Gqm/JvNVLoKjFfiPe3LMwZEaxyXQU54PsVynsNM46DdNdLtO7aLhdTzKd1rH51ycaMw2+WKbvB+k1f1CG9kfz41l0xCvVK9On1GuKJrzSeWrYG7Dyp8aGwXSSdld9XHYrU3TxxK3kDF0uzpjaadXXTsVjjtwCanzboj15dl1WmmllUJbAd0LJ4ipO17zYZ2vIz5x/GMNx+Mdj3VMBGQuTyyZRVFvZOqnDwxhvN5TP+OZyXUI7wBjLA0Ck4gM622iuh9mI81E4WAY+vHO29AYAiOjOJrfz/jxGULooosuGrq1oRwDqv766adTHd4IeElRzE9Px4MHmCPhzXw6jSlNHyttRkfIFfhx2m6nuMvHeh1Z7FQ3p08tDFgX6YhtFqXPaVwe41Ka5rtJn4c1TolKxzZVxp2OeRBxtMcleOjtIOU9u/NoM1raa5xN9Q/toJHG2os3dKKRbedr03MstK/TOMaq28GrNVsU8/MoeJpsGAufHEb+1JdRYLJfQu4/YyBjoB0GqkyQq3K7Fsa/NGMAQCjB+PfYuQe7AhTEziVyTsZAxkDGQMZAdce8qoQOK4YoGiCOz7h55TAARLBrCqoGATeUx3o5zBjIGMgYmC4YyEaB6fIm8zwyBqYOBuYbKWMAYAwA8xWY4ARuhBPcZe4uYyBjIGMgY2ACMVD1FtA1A0AEhgIgPQJDQl29mJ/DjIGMgYyBqYqBbBSYqm8ujztjoAUGqkdgJs5dvfkgGQNA8xrjU9I5ay07Bygcb3COL+3D+eb0OcczBjIGMgaGFQOU5HRsVSU6zRu2uLG7v0nYZGw8BKr3XTWpN1lleDykfRt/+pzj/WHAGXz3WvVXO9fKGBheDGSjwPC+mzyyjIGBYmDcjxD0OVoeAsDZsT6bGHi1fHRg4CjNDWYMZAxMUwxUleqpZBjwSij6FGbgOQVzk65M9hBIMTNz42Sp6kbLzMVGnvl0wkA2Ckynt5nnkjHQAgPVHeoWVcMgyzII8BCY7IsF45x4CkykUaD6HggccSw5zBjIGMgYmGoYqO5QT4XxU/gBA0A63mgMYBxI06dC3DGIdJzV+x/SvBzPGMgYyBjIRoG8BjIGZggG+nRLH1fsMAjogFFAONnAIGAME3V0oO7Cx7wD4Q1kyBjIGJgqGKBMT5Wx9hrndFGc67w1pqJho9f7yvkZAxkDg8NANgoMDpe5pYyBocZAVdmc/16BiR/+gw8+GCbTIMAIYKdeCPzqwEQZBGC7+g6G0XBjnBkyBjIGMgY6YaCqbFJIQafyw5yezqXqNTDM466O7Ze//OWopKk8l1ETyQ8ZAxkD44aBbBQYN9QOV8MYxF577RXOPffcMQ/sT3/605jbyA1MDgZGXNMf7b5up/rRrHEPGATAZN4lwBDAWPL4xz8+APGJPDowmfgf9xc8BTo477zzwjbbbBPWWmut8O53v3sKjHgwQ/znP/8Z0rU3SP7QZoRnnXVWwJd+85vfjKo2HXjMddddV87t29/+9qi5TdeHVJme6nN0+WA8NjDV5zJTx1+lIX5uEq353e9+N1NRMmPm/fe//z0cddRR4fWvf3141ateFbz7bpOvrpXrr7++pN033XRTt2rTMu9x03JWeVLzYeD3v/99OOGEE8KXv/zl+fLaJJx//vlhpZVWalMll51kDKTdV3ei7ZKn+RMZZxDQ32TdJcAgoH87KClMpFEgewp4A5MDl1xySXjzm98c0LT7778/xPUwOaOZuF4pqauuumq48847RzodFH8YabBh5Etf+lLJlx566KGRGt7HdOAxznPjuT/84Q9H5jadI9UjBL3uFeBJUAcMVHV4kl5Xvp+0uvaraU2NHP30X1en2n98risrLeZ3Cq2/NK/6ftK86RRn8Hzf+94Xdthhh1HT+uIXvzgfrRlVID9MGwww8B9wwAGlvnPfffcFa6LT5Or4zXe/+91yrdxxxx2dqk3b9GwUmLavdnwmdvjhhwfMeXxaz62OEQOtq1eV0tYNjKGC+wQm8+iAoU/kUQH9pVA1yFS9ONKyOT54DFx22WVlo7wFrMVPfOIT5fN0//PpT3863HbbbUMxzS222CJ84AMfCM985jNHxpN5zAgqpnSkm+LKYMAgVAdVZTYiQXpd+X7S9B/b7Tc0v3767lRHe9WxSOtU/swzzwzyq3U8V+fX1MCh7lQHBs4PfvCD4a9//etUn0oef58Y+NznPld6ft5zzz3hJz/5SXjb297WsaXMb0ajJhsFRuMjP2UMTBEM9DdM7vFV5TN1I+6v1f5rTfbRgf5HPvia3s3gW80tdsJANG6+9rWv7VQkp48zBjbddNNw8MEHh4UWWmice8rNjzcGKJ4g7aeT0krBT8tNdFz/ncbWdCzox1jbaNpXp3JV5b9Tuep76VQup2cMTAcM+DaXWWaZ8IIXvGA6TGdC5zBtjALcQz71qU+F3XbbLbz61a8Om2yySXgXBy+TAAAQAElEQVTPe94Tvve9741C6De/+c3y7CgL0uc///mw0047hQ033DAcf/zx4Wc/+9mosh7mzJkT7CA5h3TooYeGDTbYIOy+++7hC1/4QnApmTIRzjjjjFLAefjhh8Pee+9djsGY/v3vf5dFlD/ppJNKl9X11luvHOvll19e5lX/NJ1PrIc52QF661vfGl7zmteEd77znaGT2+IDDzwQDjrooLD++usHZ+dOO+208K9//Ss2VRs688klRz9/+ctfShyefPLJo8p+5zvfKc/hvO51rwubb755uQP061//elSZ/NAHBsa5SnXHepy7K5u3MysyWUcH9D2ZBgn9V/FeNdYoM52BMerSSy8tadW6665b0qKrr766dsroJFqt3HbbbRc+/vGPB+cG08KRtv/iF78IN954Y0mj0MK3v/3tgetoLIsnoGU/+MEPyiQ03vMf/vCH8tkftPO9731veSaR4nrYYYeF6vtCR9X7+te/Xra/0UYblTwntmuNc2F0rhGt3WeffYJz5tpvCldddVXYd999wxve8IaAruI9V1555ajq5mscjkOMypj3YGzyHBmY91jS5G984xui4ZhjjilxVD4kf8yrCX9oys+68UV33Bgf3HbiMXZ9lIlzSIZaRnkagPKhy5+mPLXpOkq7+tGPfhQ++tGPluvlHe94R4D3NH+mxpsqrVMRP2ShyR53J2X/9ttvHzW06fKLCqMmVfPgDPj73//+Muf73/9+Sd/qjsxeeOGFYfbs2cG9EY4a4AllpcqfJnygUmW+xyZtHHHEEeVYqzQOT6LH7L///iF6deJXTXWSOJivfOUrYc899yx1IzrCKaecEv7xj3/E7DL81a9+VY7h2muvDT//+c/DofP0Hbxr6623DspXdQT09IILLgjbbrtteW5fu2gg/adssPKnyRgqVeZ77CUH8P7DK8yN7iH+oQ99aL52JHTiN/JSuPnmm0sZhSwBhzx30vwY198hhxxS6n34vfdWR/8mA29xjE3CaWEUIMSsueaapYLvfIgFcc0115RMeuWVVy4FtogML4kwROjZeOONS8X5cY97XDjwwAPDCiusECi2sazQxwDWWWedQAl+ylOeEr72ta+VhoQdd9xRkRG44oorAqV/5513Lo0MFuipp54aiqIIxrj88suHPfbYIxA6VPJBvfGNbww+ulTAVbbpfLRDKHRGlPCLuHGfOvHEE4P+EEZlIjgr47wmHPjwXfSknrlE40Usm4YIEsHahRwWtTgCHMt8+MMfDnD9yU9+siReXHYQFWP46le/GovlsAcGJiK7eq+Ad0tBm4i+0z4mWylPxzLRcUpQ2qd3MpM8BdA7tG+zzTYLjLMEDm78FF80M+JGOgOvspTDoihKxZpyvPrqq4d77703Fg2Rtn/sYx8rhRR0G41j9CTcHHvssWVZwg/6Fd8BQ4Rnxk4FuOWiZQzF6B36Sul82cteVhoblAGECnSU0ssISlknFDEuo8MrrrhiQBcZBwh3zpfPmjUrHHnkkap3BbSY8YMRGk9B09FyxhDGB7vrsQHzMQ5CV0yLoWMC8uL9AXhXxNkNN9wQGB1iWWFT/oBHoe1N+Fk3vsi4bnwPPvhgyTe8BzhPeQyeq8xxxx1niKPAeAli3tGojMqD8TblqU3XUeyC0GhtUC6857lz5wZG/4suuigWmTFh9dw6xRlUEZAqs+KUs4mAdBzeMwG/X0jnNVFzQFPSOdTFzStNV8f40rTpGkfvo7yJLqInZNF0vjYOt9pqq9Jw961vfSs4avDKV75yviNVTflA2nY13rSNpZdeujTSUqzTYw/4HJ7inqO4aYCvgSY6CT6iDd5w+CtdB71iuDRnOIpjtvGJzhozWonn3XPPPYGxWXm8OpYV7rLLLqXugu9pF/+hCFtvzvErA9qMQfk6aCoH4HPeufLuqRHvZIgn98qv8pu0/3POOSesvfbaAe6sI7IFnmwDNi1nzS2xxBLBUYS77767vJ+IDkYvg9O07ETiLe23aXxaGAUIez7uOXPmlLs5LF0ENgIZ4fPoo4+eDx+f+cxnAmDRJ7RQcAnldoUIKGkFgtUznvGMYAfo4osvLr0PEBYLhqCXliW8sUwCgiFDgnyK949//ONgrHfddVdgtEDAnKlkHEgFHmWazseCXn/ejr8PGnMz1ltvvTWYj4/R7pT+I8i3qJUnZLJiLrzwwuGMM84IxhfLVcMXv/jFwaUbiy++eCCkiaujnF05RpVll122vLzKThTGBAeUzbe85S2BsKRshhEMTFrEOo8MJg4iKkjxebxD39hkegnE+RlHjE9kONH4nsi5NekLPaSM2yGhRKPZLvtbdNFFS28rDF07aDfjKsMpeoluYrpoO1pGWFEuBUIUusyFEH2bO3dusNb0hR9Q2NAvgo96t9xyS0nbnvOc54Sf/vSnAdN+9rOfXdJ5AgVajKahZRR1O+TqRSAgEObQT2Ol3FD80TyKt76EFFfCnXEQSGL9upCwcvbZZ5feAdao25AJWvhVURQlH0mFx7o26tIYBVyuKA8vwwPEI8BpE/7g/ZkvXtWLn2m7E1+UF6ETj+H596IXvSjwKqnijVFb/dmzZws6gnF6j3PmNJcReq0jnRGqCcuOP+C71gnBlPFGXJmZBJRPkM6ZLJA+V+OUa9+qeuMNad/6HQukbYlPxNibeABUyxjbTAHyNFppvrzK0F6yuucIaDGZFa1nLGTMQ2M/8pGPxCJ98YGRyo9GtN+Ul6AhO+ywQ8mHeKVpgn5Cx7BDzVNAWgR0uolOwhMLLULT0Wk8F0/kaQAH++23X2xyJDz99NODDVMGAfyBEXmRRRYJeJt+FaQg84LmZY224yv4Nz1AHp6oHOhnDOql0FQOOOCAA0ocPuEJTwjLLbdcGcdL07ZivBO/iflC8gZDADoPfzYw6FXWjHxg7fC4FmccuP3224M1aO0tueSSpacffUw+3Ewk3vTZFqaFUYAw5yIJH05RFCUOCIG77rprKQwSJsvE5A/ln7UwJtn1YOUioFZ3T4qiKL0ECHTKs4oRSu3u+eCkpWAXh2XOolxllVUCy5zFZBfMsYJYlmJmF8slS6xyPBzktZkPAufDJRwjHuqD1VZbLXB/dZEbxicNYFx28ymGni1aBECcMCNsC8ZuZ8cO30te8pKR6oQ5REf/0TgykjmjIsM3WWs3HRVhm9KTpo1nHCEdz/abtO3bMA7QpPygylQNAt4FGFT7w96OdUbYefnLX17SqDjeZz3rWQHzl074wHx5G0knxESapTxajb7YaY4MVzp405veVCr2T33qUz0GP0nEq4ChmPJRJnb4QyCjbDt+9dKXvnSklPqMmxRhuwYjGfMi6LVdAQZTtNRPWxI2hcY+r0j5H+1lgLbzUiZ0+cN4QdGlzKYeNXYt1lhjjcBFk2G3SxN9ZRljL/7Qlp/FgVT5YkzvFeK3hC4GcN4isTyeQ+C0Q+MnJWN6XegdtZURmqwj7qyMNYRR/D72zWiS8uOYPhPCJt4C1TIEaTuUDAjjCeOJ//Eat82eCOn47cj6XtM0Y0if5VdxnebPxDjPAPTc3NFWRoOiKMoNLWmgHz6gXgpt22DIxnPoFhRZ40K3GIfRwLTtomimk0Tl1VgiP9QO+sQzmlGVsistwgtf+MLS01ko7fnPf35g9BanawjxNyHjeRxbURQlP7fJiXbKB/2MQb0I/coBsf5YQh6ADDvmWBRFeTyMV4f5x40LsgkeQP+cNWvWSHc2OHh0GD9jtAz1hBOBN/30A9PCKODMJevLAgssUN44aoee4EWghBRCqDAF7qjps7gdJCGBVBiBlYx7YHwW2i1HWAiJBDRpEapEOH5IdX2y9q277rqBwBM/zjbziWNlcIj9xxAhsBuEMcQ0u/msaPFZGAUqFkHPbcH8LPK485bW32STTcrH6rGMMnE6/pkic6JgMUqlw60qq2neeMQx5PFot2mbDIfGYOe5aZ1BlJtoPA9izINsAy2g0DGcVttlrKXoY67eC9qKPjLgVMt2oi2E5WpZuwLS0FlhJ6CcyHMG1zhSQOPkcVkXRkBTn/jEJ8bHMkTrGXkd1bIzT7Cz2/CKV7wimHf12ysrJX/Ut2Ojba6QjNUERe6JPA4UreNr0scC+uvFH9B7fRijMIU6fhbzq3wxpjcJGQWUY0wSAu6qhKyYJ60TtOGpsY0m6ygqYXUGAPdAxLZmUkjeAOmcI55imvw6/Pr+xhNi/4MObXyM17i1DdIxw13d92QMaTl4Tp9zPIQq3ii9FLhU/o14bMMHqrht2walHX1D7+3A8zSjtNe9wyY6ic0Ou/2Ue8bwlJeJL7XUUoHCGul5HD/jZpWfVfkn3ce4eAvjce5xcCyaXLnlllsGirP2+h2DuhH6lQNi/bGE1bWiraq+FPFXxw8Z8W34kHnUnUi86a8fmBZGAbsqzm1YzJR1FjBuRBRiix5UkRMXeZrOjd4ztw9hhLqy8pT3ATtW4DlCulsujeFAyAVSWIWYTvCT12Y+cbH58NXtBXW3cUYh0Fx61a/mO4fLEyPOoZof0+PcqvlT+Xmqjx2xSucw3t4CGARGyZ077Xcy45RN4zImgAGB8RpTnUGg+h7Gq+9habcpzWpLN+P87K7EeAwZgMR70TjufcrZGSGYpUDwkcctVBihSu+lu5DIjg/himeBYwfPe97zgnOghCdleoFdcec+CYuLLbZYuUvBkyIaA+r4Wq82e+U34Q/9vpc6PPUaT8znhQEX3F8ZV6QTmO3gwK3nbtCGp8Z2mqwjGxDKkwWEKTTlyWmd6RKvCtOUWpDOTxnKbZqW470xAGdwVy1ZNbzIrysnfSZDJxqX8oZ++EAVp/20YWONYRxt5+3rKFq1Xc9NdJLYPyNyysdinH6krSo/a0L38FNeymgymc4GJGUZj7NjHo/Y9TsG44rQL7+J9ccSdlor2ozrpcn4HK2gK00k3oyxH5gWRgGuMG6ZhABupZ/97GfLM0GEezuB0qtgB6qa5myMtOoHV1dWuU7lo5KtDIjHDqK7ibQUYjsMGtLbzIfAqA6rorAXFMUjxyt6lWuaD7+sg03n1rTdISs3LYfjvVV3LOuU1rFO3ndI4cY8KDRcqgECOda2x1rfGAj0xsNAYP5xvMKxtl+tr/00baYZBMy9Kc1qSze1DYpifhpHyJLXC6wB/RKwOwEDdNpOld7HPLyIImRH2061n0hyJwAvCOfbY7m6kJcA4dD5z9mzZwcKsPG44dhuQ12dujl2ost19aUVxfy4k54C/Hju1HaVnykLOuFJXhNw5pb3BfdUHh+MJrz7ouG5WxtteGpspyjmx0UVx3YZla/DBSFQ3kwEygFI5279ps/ilFaeHhRdoE6G54UqDuCGggjgDO6qgL+maeqkzzn+CAaKYv7v+pGcx/72wwceq/1IrJ828AV0Da10LI6H2SOtjf7bRCfRv1q8mHx7nYAnm3IRimJ+/FTpnrK8K9y5Q07iJs9zj3zHMe8UxwAAEABJREFUGO4OIGX6HYO6EfrlN7H+WMKimB8X1faajM/7pCupO1F401c/MOWNAnYNnEVzrtBFP35+gjDlbA7rDOGBq2oVOYStalp0A3EPQJpnl9tOQ5omrjyBJLqVSqsDY5NedTuVBmK6xdJ2PnZQtOEnkYQpOOvCkufyizR9kPGiKIIxcL2qE4zSuQ2y3/Fra2a1XFVKB+0tQFDBNCjdlG/9UcTBMGHaeDAwYJxC42bM4EkwiLFWDQLahA/hTAL0wnzraJb14k4BF6+2oZvaGwS4Y8X7dnGcI2MpcI3HC3r1Q3F1cSIXTevK3QcuscIv3LFiF8Wled3aUb4oimA3xr01PBeMhXAR8Rb52gILLFA2RSArI8mfuFOTJI05OhnvxaCdU2U4Z/R3iS1axWAirxu05and2qrmWavSvFthCvE9pWkzKV5VXhnIQB0OlAWU3gz/Xf5UXooHuImGgjr8Ufiq6epU0/JzMwwMgg+0bQM9c28N7ycyu6MLft3FEYDqqPGhXjoJHQi/cCwZ76gCoyUdyd031fZ7PZP3HdF2lp4HmHP3eBp+8/SnPz34RQK61yDGMFn8phcOYn638TGQw5HjHkVRlL+WNFF4i+NrG055owDXGJMmxEfhyDPgaims+3hcDOWjkA+UIYgR4ijS0iK40Cm9TVO6D8CxAQKf527gTCylyEV8Vabo4im/TeryKK4qbefj3KIP3yUlhNE4DgIjA4kbkLmexvSxhvCDeEXXGe0R1uDPrdqeI0hzqYtnxzmEQwV5MGE8vQUo1BQVa9+6mUroRk8YB1h3GQfGOnYGAZC2MxMNAuZPWGUAPf/88wOhRFoEu/CMu6zvFHP01cV2ztPHMkL14oV4fm5Q2iAALdOOS/GEEdC7bbbZJrglOtLomFcNCXXKOmNIeEvzCQeeXS4r7AT6cPQAHtIydpGiuyf6Ki+6e9q1QZulAcJk9dJc6fFbJLR5bgtt+FnbtpU3PvOAc88ReJh4P7wt8GPCpw2AmN8phEt5vuk2MoI6vcAllkVRhKOOOirgubH8H//4x8AoH59nYlinxLowbybiYjznzCDAmJr2MZO9BNAPuOiXvqmLzgjHwgfatsHbmSHRT6w6ZsYYzAOYQbhKC5voJPgHHoRfOPtvPhHwT79axksnprUJGbzJ9FX84GuM54y3ZKdBjGG85QDrpY7fNMVHfM90nVQHU98dQNLgyvNE4k1//cCUNwq4R4DwTrF2Y7SfkOBeyCXGT0kQquz8pAwbogj6LoHwsx8XXnhhIHwSRinu0fKjHCiKIrDYHXTQQYFw6vwMoc/dBZRxZbqBMXCpsZNuZ8HHrh0flMVCUDRmbbSdD5dUYzN2rpTOr7p0kbBijs62al/bgwDWS7g07mh04SbLKmqOiIyfLnFhijFwgXLhI6v3IPrvt41crzMGqsopAhkF6c61uudYe0poG9EVn4pg/AwbVaGr7VzqDALabtvOdChvPVD+GWUZQ9Fc1nO/BoMer7rqqgF9NVf0lSJH+SMsoZsnnXRSUMaOOyWZ0KDsIMCvuKy88sqB9xmB6qKLLgoEKoYHdwH4RZuq0bjaL6PAu971rkAYcH7Tr7O4pZ6XgHsJ8AP0s1ovfXYZofkRCBmgKVNuuIejuG7immJ0w798c/pjLJkzZ06YNWtWkJe2K46GCwmhxunXFjw3BeNH65vws6ZtpuWMr8pjYr4jBPL8mg9hrHr8KZZLw7Y8Na3bK86r0M9PMlTgcdYxl19ng9HRXvWnez4DYHWO1nI1LT/3j4Eqb2KMqcN7/z1MrZqMh+iCDTH0HP1sOwP1xsoH2rRhZ50LPnqCTxgvA7RL+9AW9FZahKJoppOQ0RlDd9ppp4DW60eai8ntYtORKPKx3aYhPuTOFLSOdwO9Ax/faKONgjvG6AEMAtrT31jHMJ5yQDd+Y/y9gB7pXhs/Q0jnofuQS/Bucg7jC36snYnGmz7bwpQ3CrBG+egpx3b/CUcMAixhDAV+hohwxh0nRQ5BzS7ptttuG7woP1dl4c2ePTstVsYdEZAHCId2BbxoH5jFXhbq8Ycwo7wPZffddy8vjfJBEiQYMuI9Bv3Mx8Lz01Uu8DJ3BMDcGR381nKPobXKpuAzwsA5TwSVjZny78Ow++dskbjdEgSBIKzcBEHupiUGfAdR0YhVCbRR6YhpbUIKStNvo027k1HWPBgWQT/91+Gxiu9+2p3KddAIygF6SNGmJDPOUvR4T6Ep5uc2fL+wwpjKGIv+7rPPPoFbIuMj4Ua5QQFXSjvuaDQXdUIZ2o1/4CVof5O+GErtEvAMY8xgYECneW2hlb0MtSeffHLYYIMNgp1+wiF+42IoRgpGX2OQJwSEM4YExxZ23nnnwOuNgQBPlJ8C/uASK4ZkxzTiRUlpmV5xOGnCz3q1U5dfx2NiOQYZOPRcx6ulV8Fawq/aygjVdjo9E+LJE7xCrGMCMa+/Otx3amO6plNQq7vWvgm729N1zhM5rzo8kikncgzD1hejLLmXMZmi7WdL245xEHygaRuON+24446BsZwBmudvHC8a4ngyGZpMH9Ob6iRc++kFNgzpG5R299vQjxgz8bfYZpuQIR7/QY/hl96x6667BjwFLaSPxPYGMYbxlAO68Zs4h14hzzWygYtnGQNsYsydO7f8aWS8Bw/SxkTjTZ9tYcobBUyYgONlUER8OJRRL2T55Zcvf/faJRlV4RHTZoHzUx2YuV8c4GmgvTpg9aMU6IeQzxIUFflY3i6BvljQYloaEtKc70EEfKjasYPElTYt13Y+RVGEvffeO7D8mYsxGquPk9CtbT8RYmx2wDynYFdO3l577ZUm18aNzRkZeHOuKBaye6RtLlv6l+8+AQJ8LDP4MLc4KAxQUlnX0/asT7vkaVqTuLWnHGVaONUBs0bU47zazAcOQVoHrtPnmRqnxHJtRA/RbTvPdhxY7lOcoF12fdB1u2LoHNpdFX4JJegYhTWtL+7iPnmEC8/ATfbS7Cx5jsD1kTDmMifunOiYsVHG0zXNU0z90047LVYdFfIsMzdzND/jv/HGGwOvqlEFax4cCeBqiI7ecsstwQWDzmtuvPHGgWCn3/S4lgvvGDGsUYqC0By4+ivL+B27sf4YJuCRGyo+CcfKoeGxXAw78Yem/KwbXyRQ6jcq+vrsxGPkFUURCM28+ezQSGsC2sSXmsgIbdeR/hng8V53FfneGbwIh+YGf8rMVLBrzTiQzt93zDiQpuV4Owz4zuExrVU1wKR5Myke5XXKL55i7jasfI9VeVue7xY9FI/QlA/E8nVhkzbQenSexxZanLbDIICH8BrjuZDmxTmia2hOnU6iPAM03kA2t2YYgfXnVwLkR+jGAxg64W633XaLxQMPLBua+ma4d1zN5ipaWBSjL+hrOoaRxmsixtdEDlDV0Tp8U7wX4A1VnaYbD+ARARfoWmybAYhxGN+l4+HVPCYYpRinYjnhRONNn21gWhgFTJh1kEXKb2ZWlRv5ncAHWUck6sp78V4oBaEuv2maD51Aqb1OdfqZT1EUwVyMkSLTqe1BpMNbHZ4ZIfRvjoPoZ6SNHBl3DFAWqp0g+NW0Xs8IozKUoOkCGHacl7k1AQaVKv7gGDSpP1PKoBXotjPi3eZMwMKI6+hOt3r95qHBlE+CWr99ooe8GsyPR07bsaCzXErrjgHUtQWHLpTSb11+mubsp52LNK2fuPfXi5/10665V/HulxwI8Lwd2rbpffYjI7Tph8FnEDht0+dUKFs14BkzBUWYoT0GGFTqDALoY/vWpmcN3ztjaRNa2A0D2hkrHxhEG3VjpEOQt5voJJRTvMFFv2PFSToWxw8Yo6qbpGmZGB/EGMZLDqjjN3HcTcOiKAIDSGrk7lR3ovHWaRzV9GljFKhOLD9PXQzkkU8OBigt3NLS3vs5RsBrRBvTxSBgHuYT5yXeBKoGAXWyQQAWMmQMtMOAoxiOZPipK8KbIxLtWsilJxsDVcMAxTYbBvp7K3V4ywaB/nCZa2UMZAw8hoFsFHgMFzk28RjIPQ4ZBhgGqoor5RY0HSrledasWeVFZ7OmUcgC3BQH8MWgkpav4jXNy/GMgYyBzhjwM4TOCXOjdUYTjelcOucMIwYcIbCjmI7NbnedgpuWyfHRGIAvBpU0tYrXNC/HMwYyBjIGmmJgxhkFuB06W+O8XxMkOSfopweblM1lumEg500VDFBeq267lFzu8FNlDpM5TrgC6RjgFKRpOZ4xkDHQDAN+bcB9DM6srrXWWs0q5VJDhwG72YwD6cAYBqpKbpqf449hgEEAvh5LCYFBAF7TtByfvhjIOsn0fbfDMLMZZxRwSZEzKcImL4ByZPe0Sdlc5lEM5GDKY6BOgXVxSjYMdH+1jAEgLYWG1OEzLZPjGQMZA50x4Gzw6quvXt7Q3blUzpkKGKhTYF3MmA0D3d9enUGAgaUOn91byrlTGQPkiayTTOU3ONxjn3FGgeF+HVNvdHnE0xMDmE71fgEzzYYBWKgHxgCQ5mLgnX6NJC2X4xkDGQMZAzMBAxTZ6v0C5p0NA7BQD50MAnV4rG8hp2YMZAxkDPTGQDYK9MZRLvEIBvLfGYYBhoG6HW6GgaryO8NQM9904QNUM7JBoIqR/JwxkDEw0zHAMMDtvYoHhgEKcDV9Jj/DR/XIAHxkgwAsZMgYyBgYJAayUWCQ2Jw2beWJZAw8ggFGAfDI02N/KcDgsZSZG4MHUMVAnadFtUx+zhjIGMgYmIkY4PZeZxigAFOEZyJOqnOGB/iopmeDQBUj+TljIGNgEBjIRoFBYHEqt9HH2F3U2Ee1Caly3XXXhb322it8+9vfnpD+ZkInjAKgOleKMKimz5Rn9yv84he/CFUcODLAIMDTYqbgYirP0ztEMy666KKpPI0pMfazzjqrpM8uDEwHXOUpZ555Zlnud7/7XVpsTPHLLrusbPOEE07o2s6tt95alrvkkku6lsuZY8dANgzU49D9CrwmOhkEeFrU18ypY8XA1772tfL7v+2220aaev/73x8OOeSQkedvfvObZRmXn44kDiCy//77hyOOOGIALY1uokpfR+f293TQQQeFD3zgA/1V7rMW2n3XXXe1rv2+970vzJkzp3W9mVghGwVm0FsfxFTPP//8sNJKKw2iqXFpAxNFOH74wx+OS/sztVFGAVCdP4WYUkVBruZN52fzdoyi+rODDAKODGSDwNR5+7/61a8CmnHNNddMnUFP0ZFSdOD6oYceGplBHU/54he/WL6TtNxIhT4jBG59v/vd7w4PPPBA6PQP71Bu7ty5nYrk9AFioJthwHqhIA+wu6FvindA3bwZArbffvsgHPpJTOEBMgb4/n/0ox+NzOJTn/pU+PSnPz3y/L3vfa+kT9///vdH0gYROfnkk8PZZ589iKbKNvC2LbfcMnziE58onwf5R5tnnHHGIJvs2ta5554b8GgbLl0L1mSedtpp4fTTT6/JyUlVDGSjQCGTmhEAABAASURBVBUj0+N53GZx+OGHh1/+8pfj1n5ueHgxwCgAqiOkGFOQKcrVvOn4zAhSN9doEJiOc85zyhgYBAa22GKLcnfpmc985khzE8FTrr/++kDZf9Ob3hT+8Y9/BELiyAByZNIxwDBQ5xLPIEBBpihP+iAnYADmamOj2hVDQB1+quXy8/hg4D3veU/Yd999x6fxcWyV5+x08YD7+te/HtZbb73wr3/9axwxlpvORoEpvwbyBDIGJg4DjAIstRTgaq8UZVBNny7PvCHsHjCCVOcELzwEqun5OWMgY+AxDGy66abh4IMPDgsttNBjiRMQi7t8Rx55ZLnT+slPfjL885//nICecxdNMRAVX2G1DkV5OhsGGD/OPPPMIKzO3b0L2SBQxcrEPu+9997lcYGJ7TX3lmLg7rvvLt/BHXfckSbn+IAxMC5GgTlz5pSuGs6xHHvssWGTTTYJb33rW0e5xVxwwQWBK9RrX/va4GzKH/7wh/mmxiKEmb/tbW8rLUTveMc7wuc///n5yknA4Ln47LbbbuHVr3512SfrHjcf+SlYXAcccEB4/etfH9Zff/2wzz77BBa1tIzdQG6GdecKWazkpefWCTpnnHFGuRux7bbbhh122CF85StfGWmy6Vy4DsGHitxl4GjjjTcOxxxzTPjDoziK55lYzXbeeefw4x//WPH5QP977rlniQ/4P+WUU8pdkrSgtszFfJ2PEn/Na14T3v72twcunLGsM6DyMK2//OUvQZyrU8zvFDZ9L03HkfZDQfvoRz9avkdrw3tJ83N8fDDANZ4CTBGu9sAo4L0Iq3lT+dl8eEPUzYGRpA4XdWVz2uAw8I1vfKOkQ1zBjzvuuJIOHHXUUSE9h96EBnYbUa/6N998czmGL3/5y7XNfPzjHy/zH3744ZF8LqfOqHLrXHfddQP+hpbawR4pNC+Cj+Jp6O3xxx8flH/DG95Qno188MEH55WY///cuXODtvFV5Sm/1XbVsmv+3ve+t8QZRf2www6b724M5apg1wntr57rjHi4+OKLR1X5+9//Xu6wmYcMPE1931NTnnLhhReG2bNnB4qRs6F1PF3bnYAcoo1lllkmvPSlLw28BXzLnWSJTu3k9PHHAIOA97ziiivO1xnDAMV5uhkHzIeHwHwTnpcAF7wo5kXz/0nEwKGHHlp6OPUawjnnnFPSe2Fa1jEoBkk02TvtpJukddA5tBLNTdNjPNJSdDSmpaF834u0yy+/vBzXz372M48l/O1vfwsnnXRSePOb31zqV3Qn5crMFn/obu5boEttt9124Ywzzgj//ve/a1voxU9rKz2a+KQnPSk85SlPCY973OMeTQnhj3/8Y6kbbbbZZgEv3XXXXUs9s1P/5kyX2nzzzQO+95GPfCTU4a+p3kL28I7oHvSljTbaKHi3P/jBD0bG2C+vHWlggiOPYXeAHVM+nd+gnO+3334BgnwkFgwjATecrbfeulTEb7rppvJiDR9K+iK9KC95xx13DNdee214whOeEC699NJAKNppp51GLTovZs011wzSnU8kBDl7QmFceeWVRym3PjQM58Mf/nC4e57lyYJ2fmjWrFnBRxvR4CyOxWMRx7QYOnMk784774xJgfDnI3zjG98YPvOZz5QfRhQU28yFoPKxj30sWNxvectbAkX9qquuKj9oBgJGile96lVBXxYboe/lL3/5KJd+eNx9990DwfC8884rPyJCG8X5la98ZTC3OHAMyVz0qV3vjsDEvZLRxPtS1u6oRU/A8sGIe3fyOkGb99J0HLEv83nZy14WCIne4dy5c0vC1omAxno5HBwGKMKgrkVCf4S6/KmSZg6djBy8JZZccsnASDJV5jOdxhnp8Ac/+MHwrne9q6TzhJOiKEr+0JQG1uGkKQ1lHKOwz5lnCK+2Q3FncGa8IMzIJ4ThScaMfuMNeCWBjJFXmQhoMaFu/XmG67333juYL1546DwBVRu///3vY9EylI5n4kVoNP7DaMwgXBZ49I821Tdu9JxB2IVR6Cl+82ix2oC3DH6BF6cFGO+lpzxUPmP70UcfPWKo+cIXvlAKcXDThKfAy1ZbbRUIXd/61rcCvOFhcKH9JoAnmOc222xTFsdXRRhihBmGDwMUYXJa3chuv/32QF4AdflTJc34fYu3z5tPdcyMI+Q9YTUvP088BpyfJ2t36xltR2vRe3pKLHvLLbcEtPXAAw8MP/nJT8Jf//rXgLaT27Uby1VDmw1oFCUTP0rz6Th4y5VXXhme9axnpVkj8e985zslz5BAVyGzR4M52Xz55ZcPe+yxR7Ahp4yNWvoL3YwxV1ovIHvTvehQ6tC7bIhSjhmzY33jHws/1o6LYtFxuPTMILDOOuuUuhFdpCiKEPXMFP/KAnXXXnvtUmnHe+la9FN6UspL4cacmuiT+De+xxDC0OB90Duj8cX33S+vNebJgHExCpgIJm4h/PrXvw6MApj44x//+HJX/rOf/Wxww6fdBgrqKqusUiq/FD11wQHzdvIJFHY9fEgEHMrq7Nmzg10HyFYOUFwJDAQzQjzBycui+FuohBLlAKHFQr7hhhsCNxQhoWjBBRcsjRMEFeX6AQYESpK5Gvs73/nOspkecwnpXFSw2O1sfPe73y09D+69996w3HLLhc997nOlVc/877vvvgB8aOZjUaoLGAwIhhtssEGA46uvvrpsBwEi9PkQlEvBQvZhuy/ABzN37tzwH//xHyVO4PDFL35xia/FF1+8tNbBXdpn2laMt3kvsU6vcShnzbAMckF1UzQijOiZs7gyGSYGA9Y7xVhY7dG3CDop1dXyw/Tca9zmSyEcpjHP1LH47glP+MQVV1xRuqb3QwNT/DWtv/DCC5c72ASrKAjEdtBwAiAhSZo1xSD+jGc8o7zojlKAxjNOo6t4ZpV+ScNHeaXxCCPUEXjQ9ZT+is+ZZ5iw+3HPPfeUFzKh5XbFGcrxOWP46U9/GnbZZZfw7Gc/OzCQ41N4p34p/Az3dlOUrYMNN9ww4OPVnU38WXm8LxWwCEnSN9lkE8EoaMJTjBvPMm7CGiMwg4IdnlGNdXnAL4uiCOam2GqrrRaWXXbZYA7VdyY/w3BggGGAYlxnHKBIA7KT72g4RtxsFMZr3MZfV8N8bZLV5eW04cTAqaeeGsj7r3jFKwJ5mz5hpGRnhgI6BnqDjpOt0XIyPaWcfKRsFfAJci56jg+k+doiB/s+0vQ0zmvuuOOOK5NcskpmZ4iQwBPYGMjoeAllnn7lzhfGgVhP2W6Apxkn3vvVr3611DfMl8KNJ8e6TflpLN8kNE7fEJ2OLmQO+KPNTcbnKs7k4W33339/yfuE688zuGuD4Tj2CSd4In5qft30yViHUdy84ZTxwveLZ42F18a2JzocN6OAiWDG8eNA6OKt9RT9WbNmKRIWWGCB0o3DAyQKMWq7JyxgXByLopAcnvjEJwYLnVBiV6RMnPfnOc95TumCaeEXxSNlKbR224UW+7xi5X+ChfraLhPm/WGNJUzahZ/3OKb/PgRztZvB0jd6Lu8NRfHI+DrNJXZufix5no2Pgi9ut8Pi40oTn4URd+IEJyGX0Kc+9amiJSAEK6ywQvCzUAhBmfjoH8KjBRzL+7BWX3310rWGcPlosVZBm/cSG24yDi5OiABjC8Ia65qfow/xOYcThwFKMujUI+KK+Qk7lZnsdEoR5t1tnLwDfNfd5jrZ85hp/VM40frFFlus9I4y/35ooHoR2tSPSj/BJ9YXOgqGv9l58UwIUdaOEtooDbzkJS8pXdrFU17lGRA4I+/EN3hFSHcMQQgYfK1NO1DRKwGPoDzzHiD4KIcnMFQQYLnSSwNovR10Qg3vMml1YN0TfBkT4k4Q3oOf2B1yTI4QFesyClDAl1hiiZjUKuQZYGwqmQ/PgaIoAiOwtF7AwO2SQTiA51h+9uzZpTcJvMW0HA4nBhgHyFSdRmdtU7Ip253KTHa6Y5cUOeM03rrxkPMoE+Zbl5/ThhMDvGp54ZKZveOnP/3pIwPFE2yK8rq1Ix0zvGvHhBkNPvShD8Xk+UL8QqIdcGEEMjw3erpATGsa2nyltL/uda8LPNBiPfzDXFwCy3OMN0LM6xQaAw8KfEEZ/MnmIhzY4JMG2vBT5ZsAXU655z73uYIS6HvGQzGv4znwGMvTAfEBFVN+gjc70tdEn1QXqHPiiScGxn3HvemYY+W12p0MGDejgMWy1FJLjZrT0ksvXT5TTMvIo3/iS4q79NxeCBcs+qw/rD4RuOJA/N13312eJ9GE3RcGCAIYgccOCAWfYi2fsC8E3GMsdkKWszQENxY3go6P1oehXD/giAMBqKz76J+2c3m0WrmTEePCprizi8KyaBeTMh/xFkPvxM5TKlBqf8UVVxSMAjs5ErjdCNtCm/cS224yjsj86wwAdtFiWzmcWAxgDJ28BuJIGAW6Kd2x3ESG6ANjAIUs0qBq/+iC+fmu8nGBKnYm97kqRPdLA+Ms2tYnBFgbBI7YBiXZ7juDRTSM43u8Ghg+laMoUKAd3cLnpFmLwgh4Gpodn4VVuoxX4jPwQDhRJgJFWNuUaWlRIcFzI0+IIe8BZXgvCDuB+TIIMAwoE70E3KvjWX9C37kdJDjw3A+YU1rv+c9/flh00UUD77k0vVPc5oK86o4aAwjBzQ6P3SNlMgwvBqwD77BOPoijtrYp3VE+iOmTGfrGKYpAvNNYzItBgLLYqUxOHz4MMKA6olUURenxGw2ycaTWpLjNq0hnY0gOpyd1o7eOlKH3drLpNtpyP4GNMXk2KKS1gSj704Wq9ez6M6CS+fGwan71eZFFFim9mNN0/I7uxghO3mvLT9O2usV5rdG5KPC+Hd4NjMCMAXhU9VtiMHCvTNrmWmutVT6m/KQfvYXexyBSNvbon/jux8JrH21qQoNxMwp4IV5C3Wye9rSnjUouimLUM0FCgo/Hi6+CFy/fLryQtc25Dh+ej5LwxQ3GpUc+PKAccPGeYwVeoA+aS6GxOpvCBVSZthDLv+AFLyjvPojPwrZzUQcgBMIqNMUdJaeKN89wok27O8IIVWFSenx/hE7PbaHNe4ltNxkHo4/yXHeFKVDa0uccn3gMUJCaGgcoDhgHmKiRUryAb0T/vYwBGK91ZV4TNcbcT3MMUHzT0pHmer9oXhU60cDYRtv66KTLZa0lbofaiQaCuNMjDRAUGAXsxlBwZ82aVV7EF3c9Ul6lPEW9KEbzR/3Ji3QZLXeRoTUqvRvEudlhquKFB5+62hN2AgKXPIqOkLssQWzVVVctBURupNJ5CQjHYhTAU7WRAkEwzj1Nr8YZ/+2oSSc44vkR8Ff3LjjeGNeDchmGGwNtjAPRQDCRRgKKP/Bt6F/ouQ6r5E7KDGOHedWVyWnDjQG0jpESPaJMVkcb6S0P5yq9paOo143eFkVRXshOsba7r33H0hhlZ8+e7bE18AZTiVwjrEJMj/pVNT99jmXTNPFIt21QRhz0y49iXm0jAAAQAElEQVS1VwfO6sMJjzeGaR50Nk9BNAan9SjnDMFpGl7i2XsQgn70lqoMop0477HwWu1MNIybUSAiu58JRcXX0QEEvRNQPLTPbdwNkOIu5XBngQ+NNwGXQ+kpKINQuwPAh8x65PzJrHkCWhTqYvmKkFYms9SVkcqfujm3nUtssq6tmNctjP3ZRe+EN+m8JNJ2imK04Cmvbu7Sm0Lb96Ldoug9DsK0snXvAbGUl2HyMUCJ9o0Ku42GQQBQqjAOcUp7tzpt87SnbcAIADp5BWibZwCGR9HKngEwMrxQpZX90sA4w37qR+Wfu6h2eKBZP+iwZ2A3n/GZa6PjYNwNubY768idX5kqFEVvehiPfLlbplq/+mxudnLwgE7AwF6tlz4zAOCZBDGKNc8AlworY77OrvJSYxQgHMZzrPLbQlHMP/+mbbhYi7HFLqzdPPwoBRdDacuRP2GGqYMBSjRl2rvtNmpGOBAVdGue7NetTts87VH+U5DWqZ1oDGAQEO9ULqcPPwYcC7Dz7gI7u/kgHTV665nnsrVXB3QPZToB5b8oivJycWUYnLnnu2/Ac1tA/9Wpk5+lxzthbLB67gbkqrp8Rgzp1nfEAd5QN/+YVtVJ1O8FjkBQvt0tdsQRRwT8ldGDEdgxhrR+UTTjJXhEG31SH1UZRJp5w3WcX13Yi9dqZ6Jh3IwCY5kIRUJ9goWbJqtAoCdIeRFc/xF8goqF4XyOy5ZYj7ivcIMhuGjPzgF3TR4IdlsIMs5c+qhdvseNMN6qvMACC6gS6ha9RVhmNvjTZi4NmutZxLzhhetPFW+eKc3wUrWY9Wy4ZYE276Vl0yEKmd5btS7FspqWnycXA4wCvgNhr5FQ1BkFfOPeJaDIA+kp+DZTiHnKRlAfaE/boNsYsjGgG3amRt5YaWA/9SkngPDniBvBhBca99CINef9XSIrZDxwSSz3RcKXNapc5FXiTYGR1LrVZ7UOl1MCK8FSnu+QwOaSVvwgBa6jTXaHtMNbgMeWu3gIl3ipdIKfkGGesMtFtSiaCWPqDRIcDdAeYdGxjSrwFOSJ4ZiHuSibYWphoKlxwKwo6gwElHcyIxAHVYFd2RRivrIR1AeeY1n9dAIKEkMAEO9ULqdPHQxQzB3xchbfBqRjWmTfOAP0VpwnV0prxR0Lc5ad3qFMJ8CPKLt+hczOO3rlpw373aygK+mr07GFmM4DQrluYPO1yrNsJpLN8SS8yfjHQyfxTfqlN/3zGrCJTL9jjDZmF+wK24B355uGo176ZK92vftB8Npe/Qw6fyiNAi4WsstCcHJJRzpp1n/nxjF6roCEf/msMj5O8QjxVwe4g0gjoLmoj6AySviZl+lszLwgcOsURjd25yZTRcJH6eNUpgm0mUuT9nqVgRPz87G6kTotzxjgtk0W9jS9TZwxBT5Sd5u6+m3eS139bmkudCmKorx0EkGIZQnc+eKoiI3hCxkFEEohaDpC6w1EpT+GFP0UYrqyEZr0gXkBNCd7BjTB2HCXGSsN7Le+3Ql0zwVFMBQVcXFgrQoposIIjMy8BzxHXiXeBhjC8TS/UJPWw0N5I8Q0RxfE4/l/cYCe442EXHOQ1g3wGPkukMJXnW/1jDYTAONFVU2ODjTlKdpvCoQ7rqVcRu0m1dXznt0tII+hRphhamIgNQ4wzjWdRVTmGQtSoOinEPNieWGTPij/gCEAiDepl8tMLQxQ8P0crl89YxiIo0dPbcDRV2zIxXSh8i6hpdN47gY80cg0e+21V0Crm8rwaKt2bY4KgTsDXLLnAtvqOmbk9QsJa6yxRuDlpXw3IHNVXfX9KgCehrYWRVFeEI9fDFonsQHs2B4el46RK39RFCO6XJrXKx55XxN9sldbg+K1vfoZdP5QGgUI6C6NYEGzk+IWS7v7LEF2X+Rb0JDhHgFnyy1kLphcGS1KrigucOK+wVpDeSS8OHfCY8D5HoKLCzt4CThPqaxzPtr10dj9cARBWTda+okKRwzkKdMEjLXpXJq016QMY4hFvdNOOwXzZTmTRjjiGgQv0fjRpL20DCELLuFJm2leGm/zXtJ6TeKrrLJK8DMkdqIwWrtz3HXXXHPNgHA2aSOXmTwMMAgABgKKuLjvZCJHpD99A4YA0K/lfSLHnftqhgG0aSw0sJ/6eA4hDA/y6zMuxE1Hi/56xm/sLKFfzppSqO2uyCNkCdsCemi+FHt8Dc13fw43SF4B+Js23ZJtV8VuCEGNuyvjMTdYd+r4FQdjV7YbMHYznNsRooRFfmIM8gib+Cl+2a0deU15irJNAT9gYIEPQnmnejvuuGOZpbzdvPIh/5myGGAcAJQmsoG1OdGKuP70nYK0KYvUPPBGGHAs2Xojj9JBVLIWeYTZ3OThynuJNzIXdXoNjwH8QNluQN52TIzxGF/h/dWtfMxDW8XpS35pgEcUuuxeNR5exsSDimGCoVg/Nkjj+NXtBug9I8iBBx4YGGHpSL49Mh0+FOv2w09j3U4h/sawu88++wTGErjBB3lRFEVR/iJdp7qd0geptwyK13Ya63ilD6VRwGRZ2AhXFrWPjWLuhRM+LNjo2sJlx0fmjKMzmhR5wtn9998fGArs3jACuBBEu9o6/PDDA6GFpY5g5FyHn7O66aabwiKLLKJYCQQFv0jAJcWZREcNjEM/ZYGGf5rOpWFzPYuxlDm/SthkAPBTUe5O4CkAhz6ano10KOAXHRhh4JylrkOx0Pa9dGqnUzpCiujYHUPIECKWzbbvplP7OX1iMEARx0Ao5YwE4mDQvTMCaJcRQD/60zcYdF+5vcnHwFhpYD/1rS/8xOzt7AhTIBwSzOyiEAq5hKLHe+yxR6BcU17beKGlbVvPt912W6CQE8zQfLSfG6SLALlwKq8P3m/G4k4AvMBY8Ue8kpFCuV7AwM5jTzk8VxghHiFgaCC0xfROYVOe0ql+XTrhW7pLnoSdgBAIZ+5jqO44daqT06cGBijilDLKOfmAwgYGPXr9aDf2I5QGBt1Xbm94McBDyq+gobFoOm8lo7Up6Gdo6RyMkPQBRmFeVVzcm9BIR8zQau1Zy8Im4PJXHmsuVD3++OPD3Llzy2poPsOxvvECtBq/sHbpXS5iLQv2+KN9Xlbq4gdkcvSU6z3dLVbvh5/Gup1CG8aM2nRC9wfwSrNxzLjLQADPnep2Sh+k3mIdDILXdhrreKWPi1HA4r/nnnvmGzMl244IoTzN9KFIt7Odps+aNav8PWK7285pcu1gcbP40nKrrbZaYAGzq88QwI3c4l9++eUDC5W24y6NegcddFDwwXJnieVvvPHGUB2X8zAEJ54Gzq8IKZ3cb7TJdUV7wA4PYU+8DprOBZHQdjR6xLYijhgnYpqQMUN5l494jsC4YezchozdeVN3NETX1ljOzpD6iERMiyG3IHl+biOm+amR++67L2gr/RmPmJ+GyjZ9L23HoR+WTUYBv0YB/9z9CIHGbIdImQxTCwMUK+BbjECRjyAvAkU/QkyL5YSxvpDSpEw2Akyt9dBttDzDfOvcFOvKNaWBds61U71wrmn9tG83Q2urjp5SpI899tjgPhzuyPgV3sbA6UgB4/UNN9ww0lwnPkrA0oe+RgrPi+AF+B4FF19T/+abbw48q+Zlj/wnYOJjhCd3GThDateIQGvnZ6Rgj4jyxmHXKS06Z86cIL1OyZYmz1hjHXyiylM68UF10Ht4E+8EjCz68W47lYnpeL+ykbfaVPBM0I1lcjj1McBAAChVEShBESj2ESj0EWJaLCeM9YWetav81MdSnoGdZ9//VlttNYIM9Cke/5LIqKsMudxzBPQGHaeE86SSXhRFsJvuaIF2KMzkVYZYm5nKREC73TMQn9OQ0QEPsebS9G5x5cnxdCKXrjIAxPI2ON09RheyiWhMPKerukcsXw3N0RwYk+lG+Ig2KMJ4VLV8P/y02kb1mREeP4BXOqL+zamqI+KFdTopHc97tMkZ28aPmuotfulOfUaeWD8NB8Vr0zbHOz4uRoFBD5q7C8HGTnAx7wOra9/itxBXWmmlQFGoK5OmsZDZPVG+l6Lgpk9uPuqkbfQTbzKXftrtVMc9C8bO5WgQ44/9IHhN8Nz2vcT224SUPi6yberkslMHA77PCBT7CBT9CDEtlhNOnRnmkY4nBsZKA8davzo3ijclAr+q5g3imZspvpbu1NS1izbzJGA8b0LL69oYZFpTnjLIPnNbMxsDFPkIvskIFP0IMS2WE85srOXZ94sBXrYMB3a327TBCOpSPWvShkebusraAbdui2L+S18ZpCm3draV7QfUxUeayOGD5qdFUQR4pSO2xWunueKN+DM+OgjeqL1h4rWd5i19qI0CBpghYyBjIGMgYyBjIGMgYyBjIGMgYyBjYKZggAew+2Dc8+K+LO7xM2XueZ6Tg4FhMQpMzuxzrxkDGQMZAxkDGQMZAxkDGQMZAxkDGQNDhAHHwA477LDg2LSj0IwDQzS8PJRpiIFJMApMQyzmKWUMZAxkDGQMZAxkDGQMZAxkDGQMZAwMAAMuYXXPjPsIXFI7gCZzExkDXTEwvkaBrl3nzIyBjIGMgYyBjIGMgYyBjIGMgYyBjIGMgRQD7p/xU9vuIkvTczxjYLwwMDCjwHgNMLebMZAxkDGQMZAxkDGQMZAxkDGQMZAxkDGQMZAxMD4Y6McoMD4jya1mDGQMZAxkDGQMZAxkDGQMZAxkDGQMZAxkDGQMTCgGehgFJnQsubOMgYyBjIGMgYyBjIGMgYyBjIGMgYyBjIGMgYyBCcTAY0aBCew0d5UxkDGQMZAxkDGQMZAxkDGQMZAxkDGQMZAxkDEwSRhIus1GgQQZkxG9//77w1577RUuvPDCvrr/xS9+Uda/6KKLRuqfddZZZZobS0cScyRjIGMgYyBjIGMgYyBjIGMgYyBjYEZg4Lrrriv1AT9vON0m/M9//jNssMEGYdttt51uUxu3+fRqOBsFemFonPMp7ieccEL46le/2ldPv/rVr4L611xzzUj9L33pS2XaQw89NJKWIxkDGQMZAxkDGQMZAxkDGQMZAxkDMwMDt99+e6kP/PCHP5x2E/73v/8drrrqqvC1r31t2s1tABPqq4lsFOgLbcNdaYsttggf+MAHwjOf+czhHmgeXcZAxkDGQMZAxkDGQMZAxkDGQMZAxkALDDz+8Y8PH/7wh8Pznve8FrWmY9HBzSkbBQaHy6FpadNNNw0HH3xwWGihhYZmTHkgGQMZAxkDGQMZAxkDGQMZAxkDGQMZA2PFQFEUYcEFFwzLL7/8WJuaOvXHeaQz0ijA5f7d7353cNbmpz/9aTjkkEPCf//3f4d3vvOd4dprry1R/uc//zkcd9xx4Y1vfGMJJ598cvjXv/5V5qV/fv3rX5f1N9lkk7D++uuH97znPeF//ud/0iIjcUcFTj/99PCmN70pvPnNbw5nn332SF5d5Ctf+UrYc889w6tf/erw1re+NZxyyinhH//4R13RnH30DAAADYFJREFUUWnnnntuML/f/va3ZXqcr7n9/Oc/D4ceemh4/etfH7beeuuyzbp5Gau7CbbZZpuw+eabhxNPPDE4v3PQQQeF0047rWw3/8kYyBjIGMgYyBjIGMgYyBjIGMgYmFwM/OhHPwof/ehHS/n+He94R/j617/ecUB/+9vfwkknnVTqIuutt17YbbfdwuWXXz5feXrKgQceWKa7+2ynnXYKr33ta8O73vWucOedd5bp1T9N9SKbl2eccUZwtMG9ADvssEOg92jvj3/8YzjmmGPCZpttFtZdd92w6667ljqTIwPyAT3t4osvLst5nm4wGfOZkUaB3/3ud+Ui+tSnPhXWXHPNcOyxx4Yf/OAHpeL7ute9rjzf7/IKi95H9sUvfrH8YN773veOekfuAVhiiSXC4YcfHu6+++5gEVOeV1111bL9tPDvf//7sPrqq4cdd9wxaPNnP/tZeNvb3lZeAJKWE7fod9999/LDO++888LjHve4cPPNNwcf+Stf+cpAyVeuE3zhC18o+3/wwQfLInG+Z555ZjlfRwvuueeecMkll5Rt+ujKgo/+UX611VYL22+/ffj+978fXIbIyMCQwFBy6aWXPloyBxkDGQMZAxkDGQMZAxkDGQMZAxkDk4UBOsLLXvay8L73vS/84Q9/CHPnzg2U/fQS8ji2Bx54oNxd32OPPcI3v/nNMvmCCy4oN0BtFv79738v0/z5/Oc/X95JsM8++4StttoqeP7e974X6AIvf/nLw/XXX6/YCLTRiz7+8Y8Hm5g2Xz/zmc+EM844I3z5y18udal11lmn3Ny86aabQlEU4ZxzzgnbbbddeMMb3jDS1//7f/8vuEPtWc961kjaFI0MzbBnpFEgYt9OuF17O+qUego969lrXvOaYLExFLCE3XHHHeEZz3hGaTSgsKtP4aY0i/sIbr/99vLjUHbJJZcM++67b7CY5avjQ7vrrruCD48nwY033hi+8Y1v1HoV+Eh8LAwT6lx99dWlJe0Tn/hEUG+//fbTbGvgpbDxxhsHBgHK/r333hsWWWSRcNlll4XbbrutbI/XgA9fGVbB73znOyXR+Na3vhW++93vhv/7v/8ry+U/GQMZAxkDGQMZAxkDGQMZAxkDGQOThwEbhTb3HBm+9dZbS92C7kKPoGdUR/b2t789/PjHPy43ROkYLirnRew+MjoKhT+t8/DDD4fzzz8/2CD1i2eMCh/60IdKfcCZ/li2jV4U6/AM+M///M9SB+G9zWPbGOhURx55ZLjvvvuC8dmsfNWrXhVsenbzgIjtDm843COb0UaB5z73ueH4448PT3ziE0tLFBd9F1d4ZY4LLLXUUqJh8cUXD3b/KcQ+BokUdIt1//33D7NmzZJUwqKLLlq65DMEzJkzp0xzRIH1izWMEaJMnPeH54Ad+HnRUf9Z+iQcdthh4alPfapoCT7kFVZYITBm+JDLxBZ/XvjCF5bzFar2/Oc/vzyWIM5IIERIfKSMGOlYWSCNR5kMGQMZAxkDGQMZAxkDGQMZAxkDGQOTiwFu//SRAw44ICy33HIjg6Ez2OQcSZgX4VFgt59X9N577z0v5ZH/T37yk8ujwS4o501cPar8/ve/vzwiHXUkugsv5qg7aKWNXqR8BPrWiiuuGHhCv+hFLwpRz6KjxTL/8R//ET75yU+Wm5g8tGP6UIdTcHAz2ihgYT3hCU8YeW1Pf/rTA0X5aU97WrmDPpIxLxIXJ8PAvMfSrV5I0RemsPbaaweWL7vs0nkGCKsfp7TUFcYzS9s999wTKO6//OUvS6sYy1gEhgoGh/RDVK8JIBYMIGnZF7/4xeXjn/70pzL89re/XYYIRhlJ/jg+kDzmaMZAxkDGQMZAxkDGQMZAxkDGQMbAJGGgjY4RdYc63YVHtPP79IHqxiOlPZ0eXYK+pGxM79Z2VS+Kdehgyy67bHwsww033DBId8TafW88F9w7QGfj7TyMvzZQDnwa/HncNJhD31OICnG1gXR3PuYVRRGjZcj1RoRVS1gF6c7i/+UvfwnO38hfeOGFBaOA8p8m/OQnPykfuej4MKrgUg0FeB8I28BznvOc+Yqzvkl0bEDoiIDQxy5MwYfIMpim5XjGQMZAxkDGQMZAxkDGQMZAxkDGwMRjoI2O0UR3MQP3ngkjdNIfou6gXJO2o16kPHjBC15QGgDEI6y88srl3QUvfelLyzsG3O+29NJLB+AYdCw3SeG07nZGGwVYovp9uwsuuGBZ9aGHHirD6h8XC2r/SU96Uul9IL+uLKOBvAi8FMR5FbD+dQK/XqBcGyiK0YYNdXkdCCNwHRL36wPCFHgxpAQgzcvxjIGMgYyBjIGMgYyBjIGMgYyBjIGJw0DcxGuiYzTRXYz8KU95imAEiqK3/tCk7agXxYY9x3ga8la2SeqOhCOOOCK4eJDRgffACSeckBYdx/jMa3pGGwXG8rq5sagfd9bFIzAION+zyCKLlHcVuKFTXnStEY/glwhiXMgy5iPhuuMcfxUYEVja4rkedQYJyyyzTNncLbfcUobpn7q0ND/HMwYyBjIGMgYyBjIGMgYyBjIGMgYmBgNtdIxuuovRRp3G/Wie20C3tqt6Ubd2bYb6NQI/g85rwC+/XXvtteHKK68sq7n0sIwM8k9uq8RANgqUaGj/J17C98EPfjBUL+TwE4XS3OSpZZcD+skMl2S4JVRahKOPPjpGy9A5HWd9HA/w8xxl4qN/GAPWX3/98qcCH00aeODeAIYJF4b49YXYgXNDBx98cHzMYcZAxkDGQMZAxkDGQMZAxkDGQMbAJGLArfxFUYSjjjoqUKTjUPxMOlk+PgvdGUAfOfXUU8P//u//ShqBK664IrhXbI011gjc+kcyGkba6EXdmvTLBttuu235c4VpuZe85CXlRmv0aE7z2sRz2c4YyEaBzrjpmuPSjO222678GUIf5DnnnBM+97nPlbf5H3PMMYHyHn99gKL/2c9+Nvz5z38Oa8z72D796U+XZTfZZJNQ99MaDAWOEey0007BWRrWMWncaVjbPvaxj4Xx+iiM1U8zOiaw2mqrhR133LEcw3/9138FP9sIKfleAVjIkDGQMZAxkDGQMZAxkDGQMZAxMHkYWGWVVYKf76NPuJjvkksuCWeffXZYc801y58NTEfGxd/PCDpqwMPAzxb6qUGbfjYyeTj7ScC0TtN4G72oW5t77rln+atw++yzT9hrr73KXxwwvy233LI0CjhC0K1+kpejLTGQjQItEZYWp9yzzLnkw88ZbrrppmHu3Llhl112CZdeemlwn0As76c2zjvvvMBCR9lX1nGCq666KhYZCVnD/HLBeuutFxgANtpoo7DvvvsGngLxwxgpPA6RDTbYIFx33XWBscOvHiAw4giH7hgshBkyBjIGMgYyBjIGMgYyBjIGMgYyBiYPA/vtt1/wU4IuCKTcb7/99uVuv02+6qh22GGH0hXfJuDuu+8eeAjTNRgUrrnmmtDpEvZqO3XPbfSiuvrS1lprrXDRRReVm5/uD7CB6gjBww8/XBoINttsM8UqkB8HgYEZaRRwg6UL9s4888z5cPjzn/+8VL6rGaxu6iy++OIjWc71+xBdwOcOAJdiqH/KKaeEBRZYYKRcjFjIN998c9m+nx10aQZLnna58sRywkUWWaS8dZPbvvM1yvqJwv3331/2CDhvo/7JJ588knbuuecGaYsttliZ1m2+CIeyu+22W1n2b3/7W/jrX/8aWBC5Ej3wwAPh3nvvDT70ssC8P+PlpTCv6fw/YyBjIGMgYyBjIGMgYyBjIGMgY6AFBuz2Mwr4+b7f/va34Utf+lLpvUzG32abbUa15JfN6C2ONNuEVP7yyy8P1bsEnN9Xv5qusVhfPEIbvUif9KZYNw0dozYP97O5z0xZ/ZU/454WzPGBYmBGGgUGisF5jRVFESjxUQmfl9T1//Oe97zGljjGBZcNMkaw6nVteACZvBGe/OQnh7pfNzj++OPLHhgyykj+kzGQMZAxkDGQMZAxkDGQMZAxkDEwFBhYcsklw0ILLdRoLM9+9rODe88o840qNCxUFEUrvaiu2aIowsILLxwcj8ibkXUYGnxaNgoMHqdTukVHF5ZbbrngqINjEO5JYCl0hodnhSMNm2+++ZSeYx58xkDGQMZAxkDGQMZAxkDGQMZAxsBQYCAPYggwkI0CQ/AShmkILHNciFxq6NZSdx9wO2Ic2HrrrYMjBbwXhmnMeSwZAxkDGQMZAxkDGQMZAxkDGQMZA8OOgTy+YcVANgoM65uZxHE5CuEskvsErr/++nDnnXcG53l4DzhaMIlDy11nDGQMZAxkDGQMZAxkDGQMZAxkDAw7BvL4phQGslFgSr2uiR2suw/cAuqiQh4EE9t77i1jIGMgYyBjIGMgYyBjIGMgYyBjYNgxkMc39TGQjQJT/x3mGWQMZAxkDGQMZAxkDGQMZAxkDGQMZAyMNwZy+9MUA9koME1fbJ5WxkDGQMZAxkDGQMZAxkDGQMZAxkDGQH8YyLVmEgayUWAmve0814yBjIGMgYyBjIGMgYyBjIGMgYyBjIEUAzk+4zGQjQIzfglkBGQMZAxkDGQMZAxkDGQMZAxkDGQMzAQM5DlmDNRh4P8DAAD//3URBzoAAAAGSURBVAMA92Iu9FdXZRcAAAAASUVORK5CYII=\" 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width=\"53\" height=\"53\"\u003E\u003C/p\u003E\r\n\u003Ch3\u003EEliminate blind spots\u003C/h3\u003E\r\n\u003Cp\u003EThe unavoidable reality is that as the consumer path to purchase evolves and activity shifts to new AI-enabled interfaces, brands are losing signal liquidity, as these emerging channels are less open with behavioral data. \u003C/p\u003E\r\n\u003Cp\u003E\u003Ci\u003ETo shed light on these “dark funnel” moments\u003C/i\u003E, companies can:\u003C/p\u003E\r\n\u003Col\u003E\r\n\u003Cli\u003E\u003Cp\u003ESource data — directly from the platforms where it is available and third-party vendors — to shed light on consumer behavior within AI chatbots.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003EWeave that data into the existing customer 360 to reestablish a solid understanding of consumer behavior.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003EEnhance the portfolio of measurement and attribution techniques that play a critical role in optimizing spend allocation and marketing tactics.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003EGenerate synthetic data to probabilistically fill in data gaps and deploy a portfolio of advanced modeling techniques, such as collaborative filtering and Bayesian inference modeling, to augment the existing data foundation.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003C/ol\u003E\r\n\u003Cp\u003ESnowflake \u003Ca href=\"https://app.snowflake.com/marketplace/data-products\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"\u003EMarketplace\u003C/a\u003E and Snowflake’s \u003Ca href=\"https://www.snowflake.com/en/solutions/departments/marketing/customer-360/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"\u003Ecustomer 360\u003C/a\u003E and \u003Ca href=\"https://www.snowflake.com/en/product/features/end-to-end-ml-workflows/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"\u003Emachine learning\u003C/a\u003E infrastructure, \u003Ca href=\"https://www.snowflake.com/en/fundamentals/synthetic-data/\"\u003Esynthetic data\u003C/a\u003E generation capabilities and range of measurement tools are all accelerants for marketers looking to address this challenge.\u003C/p\u003E\r\n\u003Cp\u003E \u003C/p\u003E\r\n\u003Cp\u003E\u003Cbr\u003E\r\n\u003Cimg 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width=\"51\" height=\"52\"\u003E\u003C/p\u003E\r\n\u003Ch3\u003EModernize strategy and execution\u003C/h3\u003E\r\n\u003Cp\u003EHistorically, brands earned outsize levels of mental and physical availability through significant advertising spend and prime placement in retail stores. \u003Ci\u003EThis combination of brand salience and visibility across sales channels was a reliable algorithm for revenue growth.\u003C/i\u003E\u003C/p\u003E\r\n\u003Cp\u003EYet as the commerce landscape evolves, that battle-tested playbook is being reshaped. Brands that want to avoid a commoditizing fade into the background will have no option but to rationalize spend, evolve marketing tactics and modernize their prevailing approach to brand building. Critically, not all product categories and price tiers will be equally affected.\u003C/p\u003E\r\n\u003Cp\u003EIn many categories, consumers will still feel a \u003Ci\u003Epull toward unique brands that use inspirational creative to stand out\u003C/i\u003E from the proliferation of “AI slop” in social feeds and low-quality products across ecommerce platforms. A luxury goods company, for instance, may make a determination that the high-end leather goods from its flagship brand will remain aspirational and avoid commoditization. And while AI will influence aspects of consumer research and discovery for those products, it will be less important relative to other factors such as word of mouth, influencers, trends in popular culture and brand-building advertisements. Much of the marketing approach for a similar brand will remain unchanged over the next 12-18 months.\u003C/p\u003E\r\n\u003Cp\u003EIn others, data-driven AI chatbots are increasingly leveling the playing field and relying on objective data to drive recommendations. For brands in these categories, the magnitude of change required will be much more significant. Brand support \u003Ci\u003Ewill be reimagined with a focus on product metadata and web content that establishes authority and relevance.\u003C/i\u003E\u003C/p\u003E\r\n\u003Cp\u003EOne commonality across categories is the difficulty in optimally allocating working spend. A challenge even in the best of times, it becomes infinitely more complex as destabilizing forces such as AI, which reshape the path to purchase and introduce new touchpoints, fracture the measurement foundation driving spend allocation. \u003C/p\u003E\r\n\u003Cp\u003EWhile the principles behind this effort remain consistent — allocate spend across channels and touchpoints in a way that maximizes delivery against priority brand KPIs — the underlying analytical techniques such as MMM, MTA, closed-loop attribution and experimentation require a reboot in the age of AI.\u003C/p\u003E\r\n\u003Cp\u003EAnd while the channel-level spend allocation decisions they drive remain critical, \u003Ci\u003Emarketers also need to evaluate the evolving impact of touchpoints within each of those channels\u003C/i\u003E. For example, brands need to not only make a decision around spend allocation for retail media as a channel but also deploy spend to individual retailers and the variety of ad units available in each ad network. A brand may choose to decrease overall RMN spend while increasing funding for a retailer such as Walmart and shifting the focus from sponsored search to ads running within Walmart’s \u003Ca href=\"https://www.walmartconnect.com/resources/articles/2025/the-next-generation-of-ai-powered-retail-media\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"\u003ESparky chatbot\u003C/a\u003E.\u003C/p\u003E\r\n\u003Cp\u003E \u003C/p\u003E\r\n\u003Cp\u003E\u003Cbr\u003E\r\n\u003Cimg src=\"data:image/png;base64,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\" width=\"47\" height=\"48\"\u003E\u003C/p\u003E\r\n\u003Ch3\u003ECement authority and relevance\u003C/h3\u003E\r\n\u003Cp\u003EIncreasingly, brands need to not only win the hearts and minds of consumers (for those purchases where human decisioning still guides the end purchase) but also \u003Ci\u003Einfluence the algorithms responsible for product recommendations in AI chatbots\u003C/i\u003E.\u003C/p\u003E\r\n\u003Cp\u003EThis recommendation decision-making optimizes for \u003Ca href=\"https://www.perplexity.ai/help-center/en/articles/10352906-what-is-instant-buy\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"\u003Eauthority and relevance\u003C/a\u003E based on the query itself plus known and inferred context about the user, while factoring in more \u003Ca href=\"https://help.openai.com/en/articles/11128490-shopping-with-chatgpt-search\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"\u003Especific criteria\u003C/a\u003E such as price, reviews and ease of use. \u003C/p\u003E\r\n\u003Cp\u003EBrands need to take action across four core areas to positively influence how their products are perceived by these algorithms:\u003Cbr\u003E\r\n\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Cp\u003ERemedy deficiencies around “table stakes” decision criteria such as pricing. \u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003EAddress perceived gaps in features and functionality surfaced through customer comments on social or negative product reviews (for example, “The screw-top cap is really difficult to remove, especially while driving”). \u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003ECreate centralized data on every product through a “product 360.” This gives algorithms efficient access to the machine-readable data they require.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003EInvest in content, both owned and in collaboration with third parties such as influencers and journalists, that builds credibility, authority and relevance.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003Cp\u003ESnowflake offers a range of scalable solutions — including Snowflake \u003Ca href=\"https://www.snowflake.com/en/blog/cortex-search-ai-hybrid-search/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"\u003ECortex Search\u003C/a\u003E — for consumer goods companies looking to aggregate product-related data into a product 360 and integrate that data into AI commerce initiatives.\u003C/p\u003E\r\n\u003Cp\u003E \u003C/p\u003E\r\n\u003Cp\u003E\u003Cbr\u003E\r\n\u003Cimg src=\"data:image/png;base64,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\" width=\"48\" height=\"46\"\u003E\u003C/p\u003E\r\n\u003Ch3\u003EWin the ecommerce channel\u003C/h3\u003E\r\n\u003Cp\u003EA disproportionate share of transactions that stem from consumer research within an AI chatbot will flow to ecommerce channels, as this type of research and discovery naturally supports online shopping destinations. The result will be not only an ongoing store-to-online shift in sales but also a reallocation of market share within the ecommerce channel itself. \u003C/p\u003E\r\n\u003Cp\u003EFor brands, then, the question is not \u003Ci\u003Ewhether\u003C/i\u003E to prioritize ecommerce but how.\u003C/p\u003E\r\n\u003Cp\u003EThe quickest path is simply to deepen partnerships with third-party ecommerce platforms. Here, though, it is important to place partnership “bets” on the companies most likely to gain share in the years to come. For more context, see \u003Ca href=\"https://www.snowflake.com/en/blog/ai-shopping-retail-roadmap/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"\u003Ethe second blog post\u003C/a\u003E in this series.\u003C/p\u003E\r\n\u003Cp\u003EHowever, for brands that run their own direct-to-consumer (DTC) ecommerce offering, the calculus becomes more complex. The go-forward role of the DTC channel will boil down to a combination of strategic vision and conviction in the “right to win.”\u003C/p\u003E\r\n\u003Cp\u003EFor years many DTC businesses have scaled through marketing tactics (such as SEO and paid search advertising) that will have an increasingly diluted impact as the centrality of AI accelerates. This fraying of the “DTC playbook” will leave brands with a clear choice: invest and adapt or retreat.\u003C/p\u003E\r\n\u003Cp\u003E\u003Ci\u003EA uniquely compelling DTC offering will have a chance to generate consumer gravity and strong returns, while an undifferentiated one will increasingly lose traction.\u003C/i\u003E The former should be a focus for go-forward investment while the latter a candidate for deprioritization or even deprecation.\u003C/p\u003E\r\n\u003Cp\u003E \u003C/p\u003E\r\n\u003Cp\u003E\u003Cbr\u003E\r\n\u003Cimg 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width=\"45\" height=\"45\"\u003E\u003C/p\u003E\r\n\u003Ch3\u003EInvest in the retail ‘winners’\u003C/h3\u003E\r\n\u003Cp\u003EIn addition to this prioritization of ecommerce partners, consumer goods companies also need to make a similar decision regarding their overall retail relationships.\u003C/p\u003E\r\n\u003Cp\u003EAI will aggressively sort retailers into “winners” and “losers,” just as the rise of ecommerce did over two decades ago. 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While it is difficult to meaningfully move share in stable times in mature markets, everything is up for grabs when truly transformative change arrives. 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