class: title-slide, middle ## .font200[<svg viewBox="0 0 581 512" style="height:1em;fill:currentColor;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M581 226.6C581 119.1 450.9 32 290.5 32S0 119.1 0 226.6C0 322.4 103.3 402 239.4 418.1V480h99.1v-61.5c24.3-2.7 47.6-7.4 69.4-13.9L448 480h112l-67.4-113.7c54.5-35.4 88.4-84.9 88.4-139.7zm-466.8 14.5c0-73.5 98.9-133 220.8-133s211.9 40.7 211.9 133c0 50.1-26.5 85-70.3 106.4-2.4-1.6-4.7-2.9-6.4-3.7-10.2-5.2-27.8-10.5-27.8-10.5s86.6-6.4 86.6-92.7-90.6-87.9-90.6-87.9h-199V361c-74.1-21.5-125.2-67.1-125.2-119.9zm225.1 38.3v-55.6c57.8 0 87.8-6.8 87.8 27.3 0 36.5-38.2 28.3-87.8 28.3zm-.9 72.5H365c10.8 0 18.9 11.7 24 19.2-16.1 1.9-33 2.8-50.6 2.9v-22.1z"></path></svg>asters] <br> .instructors[ .font140[Manipulate and visualize spatial data with <svg viewBox="0 0 581 512" style="height:1em;fill:currentColor;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M581 226.6C581 119.1 450.9 32 290.5 32S0 119.1 0 226.6C0 322.4 103.3 402 239.4 418.1V480h99.1v-61.5c24.3-2.7 47.6-7.4 69.4-13.9L448 480h112l-67.4-113.7c54.5-35.4 88.4-84.9 88.4-139.7zm-466.8 14.5c0-73.5 98.9-133 220.8-133s211.9 40.7 211.9 133c0 50.1-26.5 85-70.3 106.4-2.4-1.6-4.7-2.9-6.4-3.7-10.2-5.2-27.8-10.5-27.8-10.5s86.6-6.4 86.6-92.7-90.6-87.9-90.6-87.9h-199V361c-74.1-21.5-125.2-67.1-125.2-119.9zm225.1 38.3v-55.6c57.8 0 87.8-6.8 87.8 27.3 0 36.5-38.2 28.3-87.8 28.3zm-.9 72.5H365c10.8 0 18.9 11.7 24 19.2-16.1 1.9-33 2.8-50.6 2.9v-22.1z"></path></svg>] <br><br><br> .authors140[David Beauchesne & Kevin Cazelles] <br><br> March 24, 2021 <br> .font200[ [<svg viewBox="0 0 496 512" style="height:1em;fill:currentColor;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M165.9 397.4c0 2-2.3 3.6-5.2 3.6-3.3.3-5.6-1.3-5.6-3.6 0-2 2.3-3.6 5.2-3.6 3-.3 5.6 1.3 5.6 3.6zm-31.1-4.5c-.7 2 1.3 4.3 4.3 4.9 2.6 1 5.6 0 6.2-2s-1.3-4.3-4.3-5.2c-2.6-.7-5.5.3-6.2 2.3zm44.2-1.7c-2.9.7-4.9 2.6-4.6 4.9.3 2 2.9 3.3 5.9 2.6 2.9-.7 4.9-2.6 4.6-4.6-.3-1.9-3-3.2-5.9-2.9zM244.8 8C106.1 8 0 113.3 0 252c0 110.9 69.8 205.8 169.5 239.2 12.8 2.3 17.3-5.6 17.3-12.1 0-6.2-.3-40.4-.3-61.4 0 0-70 15-84.7-29.8 0 0-11.4-29.1-27.8-36.6 0 0-22.9-15.7 1.6-15.4 0 0 24.9 2 38.6 25.8 21.9 38.6 58.6 27.5 72.9 20.9 2.3-16 8.8-27.1 16-33.7-55.9-6.2-112.3-14.3-112.3-110.5 0-27.5 7.6-41.3 23.6-58.9-2.6-6.5-11.1-33.3 2.6-67.9 20.9-6.5 69 27 69 27 20-5.6 41.5-8.5 62.8-8.5s42.8 2.9 62.8 8.5c0 0 48.1-33.6 69-27 13.7 34.7 5.2 61.4 2.6 67.9 16 17.7 25.8 31.5 25.8 58.9 0 96.5-58.9 104.2-114.8 110.5 9.2 7.9 17 22.9 17 46.4 0 33.7-.3 75.4-.3 83.6 0 6.5 4.6 14.4 17.3 12.1C428.2 457.8 496 362.9 496 252 496 113.3 383.5 8 244.8 8zM97.2 352.9c-1.3 1-1 3.3.7 5.2 1.6 1.6 3.9 2.3 5.2 1 1.3-1 1-3.3-.7-5.2-1.6-1.6-3.9-2.3-5.2-1zm-10.8-8.1c-.7 1.3.3 2.9 2.3 3.9 1.6 1 3.6.7 4.3-.7.7-1.3-.3-2.9-2.3-3.9-2-.6-3.6-.3-4.3.7zm32.4 35.6c-1.6 1.3-1 4.3 1.3 6.2 2.3 2.3 5.2 2.6 6.5 1 1.3-1.3.7-4.3-1.3-6.2-2.2-2.3-5.2-2.6-6.5-1zm-11.4-14.7c-1.6 1-1.6 3.6 0 5.9 1.6 2.3 4.3 3.3 5.6 2.3 1.6-1.3 1.6-3.9 0-6.2-1.4-2.3-4-3.3-5.6-2z"></path></svg>](https://github.com/inSilecoInc/wksh_raster_CWS) ] ] <br> <img src="img/logoW.png" width="140px"></img> <!-- Modify accordingly --> [](https://github.com/inSilecoInc/wksh_raster_CWS/actions/workflows/deploy.yml) .instructors[Content under [<svg viewBox="0 0 496 512" style="height:1em;fill:currentColor;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M245.83 214.87l-33.22 17.28c-9.43-19.58-25.24-19.93-27.46-19.93-22.13 0-33.22 14.61-33.22 43.84 0 23.57 9.21 43.84 33.22 43.84 14.47 0 24.65-7.09 30.57-21.26l30.55 15.5c-6.17 11.51-25.69 38.98-65.1 38.98-22.6 0-73.96-10.32-73.96-77.05 0-58.69 43-77.06 72.63-77.06 30.72-.01 52.7 11.95 65.99 35.86zm143.05 0l-32.78 17.28c-9.5-19.77-25.72-19.93-27.9-19.93-22.14 0-33.22 14.61-33.22 43.84 0 23.55 9.23 43.84 33.22 43.84 14.45 0 24.65-7.09 30.54-21.26l31 15.5c-2.1 3.75-21.39 38.98-65.09 38.98-22.69 0-73.96-9.87-73.96-77.05 0-58.67 42.97-77.06 72.63-77.06 30.71-.01 52.58 11.95 65.56 35.86zM247.56 8.05C104.74 8.05 0 123.11 0 256.05c0 138.49 113.6 248 247.56 248 129.93 0 248.44-100.87 248.44-248 0-137.87-106.62-248-248.44-248zm.87 450.81c-112.54 0-203.7-93.04-203.7-202.81 0-105.42 85.43-203.27 203.72-203.27 112.53 0 202.82 89.46 202.82 203.26-.01 121.69-99.68 202.82-202.84 202.82z"></path></svg> <svg viewBox="0 0 496 512" style="height:1em;fill:currentColor;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M314.9 194.4v101.4h-28.3v120.5h-77.1V295.9h-28.3V194.4c0-4.4 1.6-8.2 4.6-11.3 3.1-3.1 6.9-4.7 11.3-4.7H299c4.1 0 7.8 1.6 11.1 4.7 3.1 3.2 4.8 6.9 4.8 11.3zm-101.5-63.7c0-23.3 11.5-35 34.5-35s34.5 11.7 34.5 35c0 23-11.5 34.5-34.5 34.5s-34.5-11.5-34.5-34.5zM247.6 8C389.4 8 496 118.1 496 256c0 147.1-118.5 248-248.4 248C113.6 504 0 394.5 0 256 0 123.1 104.7 8 247.6 8zm.8 44.7C130.2 52.7 44.7 150.6 44.7 256c0 109.8 91.2 202.8 203.7 202.8 103.2 0 202.8-81.1 202.8-202.8.1-113.8-90.2-203.3-202.8-203.3z"></path></svg>](https://creativecommons.org/licenses/by/4.0/) unless otherwise specified.] --- class: inverse, center, middle # <svg viewBox="0 0 512 512" style="height:1em;fill:currentColor;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M256 8C119.043 8 8 119.083 8 256c0 136.997 111.043 248 248 248s248-111.003 248-248C504 119.083 392.957 8 256 8zm0 110c23.196 0 42 18.804 42 42s-18.804 42-42 42-42-18.804-42-42 18.804-42 42-42zm56 254c0 6.627-5.373 12-12 12h-88c-6.627 0-12-5.373-12-12v-24c0-6.627 5.373-12 12-12h12v-64h-12c-6.627 0-12-5.373-12-12v-24c0-6.627 5.373-12 12-12h64c6.627 0 12 5.373 12 12v100h12c6.627 0 12 5.373 12 12v24z"></path></svg> Rationalize ![:custom_hr]() ## Why use <svg viewBox="0 0 581 512" style="height:1em;fill:currentColor;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M581 226.6C581 119.1 450.9 32 290.5 32S0 119.1 0 226.6C0 322.4 103.3 402 239.4 418.1V480h99.1v-61.5c24.3-2.7 47.6-7.4 69.4-13.9L448 480h112l-67.4-113.7c54.5-35.4 88.4-84.9 88.4-139.7zm-466.8 14.5c0-73.5 98.9-133 220.8-133s211.9 40.7 211.9 133c0 50.1-26.5 85-70.3 106.4-2.4-1.6-4.7-2.9-6.4-3.7-10.2-5.2-27.8-10.5-27.8-10.5s86.6-6.4 86.6-92.7-90.6-87.9-90.6-87.9h-199V361c-74.1-21.5-125.2-67.1-125.2-119.9zm225.1 38.3v-55.6c57.8 0 87.8-6.8 87.8 27.3 0 36.5-38.2 28.3-87.8 28.3zm-.9 72.5H365c10.8 0 18.9 11.7 24 19.2-16.1 1.9-33 2.8-50.6 2.9v-22.1z"></path></svg> for interactive data visualization? (<svg viewBox="0 0 512 512" style="height:1em;fill:currentColor;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M256 8C119 8 8 119 8 256s111 248 248 248 248-111 248-248S393 8 256 8zm0 448c-110.5 0-200-89.5-200-200S145.5 56 256 56s200 89.5 200 200-89.5 200-200 200zm61.8-104.4l-84.9-61.7c-3.1-2.3-4.9-5.9-4.9-9.7V116c0-6.6 5.4-12 12-12h32c6.6 0 12 5.4 12 12v141.7l66.8 48.6c5.4 3.9 6.5 11.4 2.6 16.8L334.6 349c-3.9 5.3-11.4 6.5-16.8 2.6z"></path></svg>~10min) --- # Interactive visualization ## Interactive data visualization > Interactive data visualization refers to the use of modern data analysis software that enables users to directly manipulate and explore graphical representations of data. -- ## Why use interactive visualization? - Identify trends - Observe relationships in data - Data storytelling - Simplify complex data - Share and explore data - Get more out of static visualizations! --- # Interactive visualization ## Javascript > [JavaScript](https://www.javascript.com/) is a text-based programming language used both on the client-side and server-side that allows you to make web pages interactive. -- > JavaScript is the modern interactive web -- - Close to 1.5 million libraries -- - Requires in depth knowledge of web-based programming, and, if you are a <svg viewBox="0 0 581 512" style="height:1em;fill:currentColor;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M581 226.6C581 119.1 450.9 32 290.5 32S0 119.1 0 226.6C0 322.4 103.3 402 239.4 418.1V480h99.1v-61.5c24.3-2.7 47.6-7.4 69.4-13.9L448 480h112l-67.4-113.7c54.5-35.4 88.4-84.9 88.4-139.7zm-466.8 14.5c0-73.5 98.9-133 220.8-133s211.9 40.7 211.9 133c0 50.1-26.5 85-70.3 106.4-2.4-1.6-4.7-2.9-6.4-3.7-10.2-5.2-27.8-10.5-27.8-10.5s86.6-6.4 86.6-92.7-90.6-87.9-90.6-87.9h-199V361c-74.1-21.5-125.2-67.1-125.2-119.9zm225.1 38.3v-55.6c57.8 0 87.8-6.8 87.8 27.3 0 36.5-38.2 28.3-87.8 28.3zm-.9 72.5H365c10.8 0 18.9 11.7 24 19.2-16.1 1.9-33 2.8-50.6 2.9v-22.1z"></path></svg> user, learning another programming language --- # Why <svg viewBox="0 0 581 512" style="height:1em;fill:currentColor;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M581 226.6C581 119.1 450.9 32 290.5 32S0 119.1 0 226.6C0 322.4 103.3 402 239.4 418.1V480h99.1v-61.5c24.3-2.7 47.6-7.4 69.4-13.9L448 480h112l-67.4-113.7c54.5-35.4 88.4-84.9 88.4-139.7zm-466.8 14.5c0-73.5 98.9-133 220.8-133s211.9 40.7 211.9 133c0 50.1-26.5 85-70.3 106.4-2.4-1.6-4.7-2.9-6.4-3.7-10.2-5.2-27.8-10.5-27.8-10.5s86.6-6.4 86.6-92.7-90.6-87.9-90.6-87.9h-199V361c-74.1-21.5-125.2-67.1-125.2-119.9zm225.1 38.3v-55.6c57.8 0 87.8-6.8 87.8 27.3 0 36.5-38.2 28.3-87.8 28.3zm-.9 72.5H365c10.8 0 18.9 11.7 24 19.2-16.1 1.9-33 2.8-50.6 2.9v-22.1z"></path></svg>? <br> 1. <svg viewBox="0 0 581 512" style="height:1em;fill:currentColor;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M581 226.6C581 119.1 450.9 32 290.5 32S0 119.1 0 226.6C0 322.4 103.3 402 239.4 418.1V480h99.1v-61.5c24.3-2.7 47.6-7.4 69.4-13.9L448 480h112l-67.4-113.7c54.5-35.4 88.4-84.9 88.4-139.7zm-466.8 14.5c0-73.5 98.9-133 220.8-133s211.9 40.7 211.9 133c0 50.1-26.5 85-70.3 106.4-2.4-1.6-4.7-2.9-6.4-3.7-10.2-5.2-27.8-10.5-27.8-10.5s86.6-6.4 86.6-92.7-90.6-87.9-90.6-87.9h-199V361c-74.1-21.5-125.2-67.1-125.2-119.9zm225.1 38.3v-55.6c57.8 0 87.8-6.8 87.8 27.3 0 36.5-38.2 28.3-87.8 28.3zm-.9 72.5H365c10.8 0 18.9 11.7 24 19.2-16.1 1.9-33 2.8-50.6 2.9v-22.1z"></path></svg> packages are actively developped for interactive visualization. See the [htmlwidgets for R](https://www.htmlwidgets.org/) web page for examples -- 2. No need to learn a new language -- 3. Efficiently explore outputs from <svg viewBox="0 0 581 512" style="height:1em;fill:currentColor;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M581 226.6C581 119.1 450.9 32 290.5 32S0 119.1 0 226.6C0 322.4 103.3 402 239.4 418.1V480h99.1v-61.5c24.3-2.7 47.6-7.4 69.4-13.9L448 480h112l-67.4-113.7c54.5-35.4 88.4-84.9 88.4-139.7zm-466.8 14.5c0-73.5 98.9-133 220.8-133s211.9 40.7 211.9 133c0 50.1-26.5 85-70.3 106.4-2.4-1.6-4.7-2.9-6.4-3.7-10.2-5.2-27.8-10.5-27.8-10.5s86.6-6.4 86.6-92.7-90.6-87.9-90.6-87.9h-199V361c-74.1-21.5-125.2-67.1-125.2-119.9zm225.1 38.3v-55.6c57.8 0 87.8-6.8 87.8 27.3 0 36.5-38.2 28.3-87.8 28.3zm-.9 72.5H365c10.8 0 18.9 11.7 24 19.2-16.1 1.9-33 2.8-50.6 2.9v-22.1z"></path></svg> analyses -- 4. Share interactive outputs of <svg viewBox="0 0 581 512" style="height:1em;fill:currentColor;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M581 226.6C581 119.1 450.9 32 290.5 32S0 119.1 0 226.6C0 322.4 103.3 402 239.4 418.1V480h99.1v-61.5c24.3-2.7 47.6-7.4 69.4-13.9L448 480h112l-67.4-113.7c54.5-35.4 88.4-84.9 88.4-139.7zm-466.8 14.5c0-73.5 98.9-133 220.8-133s211.9 40.7 211.9 133c0 50.1-26.5 85-70.3 106.4-2.4-1.6-4.7-2.9-6.4-3.7-10.2-5.2-27.8-10.5-27.8-10.5s86.6-6.4 86.6-92.7-90.6-87.9-90.6-87.9h-199V361c-74.1-21.5-125.2-67.1-125.2-119.9zm225.1 38.3v-55.6c57.8 0 87.8-6.8 87.8 27.3 0 36.5-38.2 28.3-87.8 28.3zm-.9 72.5H365c10.8 0 18.9 11.7 24 19.2-16.1 1.9-33 2.8-50.6 2.9v-22.1z"></path></svg> analyses with collaborators in a variety of formats -- 5. For people still using [ArcGIS](www.arcgis.com) or [QGIS](www.qgis.org) solely for visual data exploration: interactive mapping in <svg viewBox="0 0 581 512" style="height:1em;fill:currentColor;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M581 226.6C581 119.1 450.9 32 290.5 32S0 119.1 0 226.6C0 322.4 103.3 402 239.4 418.1V480h99.1v-61.5c24.3-2.7 47.6-7.4 69.4-13.9L448 480h112l-67.4-113.7c54.5-35.4 88.4-84.9 88.4-139.7zm-466.8 14.5c0-73.5 98.9-133 220.8-133s211.9 40.7 211.9 133c0 50.1-26.5 85-70.3 106.4-2.4-1.6-4.7-2.9-6.4-3.7-10.2-5.2-27.8-10.5-27.8-10.5s86.6-6.4 86.6-92.7-90.6-87.9-90.6-87.9h-199V361c-74.1-21.5-125.2-67.1-125.2-119.9zm225.1 38.3v-55.6c57.8 0 87.8-6.8 87.8 27.3 0 36.5-38.2 28.3-87.8 28.3zm-.9 72.5H365c10.8 0 18.9 11.7 24 19.2-16.1 1.9-33 2.8-50.6 2.9v-22.1z"></path></svg> can now - *partly* - address this --- # Why <svg viewBox="0 0 581 512" style="height:1em;fill:currentColor;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M581 226.6C581 119.1 450.9 32 290.5 32S0 119.1 0 226.6C0 322.4 103.3 402 239.4 418.1V480h99.1v-61.5c24.3-2.7 47.6-7.4 69.4-13.9L448 480h112l-67.4-113.7c54.5-35.4 88.4-84.9 88.4-139.7zm-466.8 14.5c0-73.5 98.9-133 220.8-133s211.9 40.7 211.9 133c0 50.1-26.5 85-70.3 106.4-2.4-1.6-4.7-2.9-6.4-3.7-10.2-5.2-27.8-10.5-27.8-10.5s86.6-6.4 86.6-92.7-90.6-87.9-90.6-87.9h-199V361c-74.1-21.5-125.2-67.1-125.2-119.9zm225.1 38.3v-55.6c57.8 0 87.8-6.8 87.8 27.3 0 36.5-38.2 28.3-87.8 28.3zm-.9 72.5H365c10.8 0 18.9 11.7 24 19.2-16.1 1.9-33 2.8-50.6 2.9v-22.1z"></path></svg>? ## HTML widgets In <svg viewBox="0 0 581 512" style="height:1em;fill:currentColor;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M581 226.6C581 119.1 450.9 32 290.5 32S0 119.1 0 226.6C0 322.4 103.3 402 239.4 418.1V480h99.1v-61.5c24.3-2.7 47.6-7.4 69.4-13.9L448 480h112l-67.4-113.7c54.5-35.4 88.4-84.9 88.4-139.7zm-466.8 14.5c0-73.5 98.9-133 220.8-133s211.9 40.7 211.9 133c0 50.1-26.5 85-70.3 106.4-2.4-1.6-4.7-2.9-6.4-3.7-10.2-5.2-27.8-10.5-27.8-10.5s86.6-6.4 86.6-92.7-90.6-87.9-90.6-87.9h-199V361c-74.1-21.5-125.2-67.1-125.2-119.9zm225.1 38.3v-55.6c57.8 0 87.8-6.8 87.8 27.3 0 36.5-38.2 28.3-87.8 28.3zm-.9 72.5H365c10.8 0 18.9 11.7 24 19.2-16.1 1.9-33 2.8-50.6 2.9v-22.1z"></path></svg>, HTML widgets are one of two things: 1. The [`htmlwidgets`](https://cran.r-project.org/package=htmlwidgets) package provides a framework for creating R bindings to JavaScript visualization libraries that can be rendered in a variety of formats (*e.g.* RStudio, R Markdown documents, Shiny applications, or standalone web pages). -- 2. A collection of R packages that allow a user to build interactive visualization (*i.e.* tables, charts, maps, networks, etc) through specific JavaScript libraries --- # Why <svg viewBox="0 0 581 512" style="height:1em;fill:currentColor;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M581 226.6C581 119.1 450.9 32 290.5 32S0 119.1 0 226.6C0 322.4 103.3 402 239.4 418.1V480h99.1v-61.5c24.3-2.7 47.6-7.4 69.4-13.9L448 480h112l-67.4-113.7c54.5-35.4 88.4-84.9 88.4-139.7zm-466.8 14.5c0-73.5 98.9-133 220.8-133s211.9 40.7 211.9 133c0 50.1-26.5 85-70.3 106.4-2.4-1.6-4.7-2.9-6.4-3.7-10.2-5.2-27.8-10.5-27.8-10.5s86.6-6.4 86.6-92.7-90.6-87.9-90.6-87.9h-199V361c-74.1-21.5-125.2-67.1-125.2-119.9zm225.1 38.3v-55.6c57.8 0 87.8-6.8 87.8 27.3 0 36.5-38.2 28.3-87.8 28.3zm-.9 72.5H365c10.8 0 18.9 11.7 24 19.2-16.1 1.9-33 2.8-50.6 2.9v-22.1z"></path></svg>? ## <svg viewBox="0 0 581 512" style="height:1em;fill:currentColor;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M581 226.6C581 119.1 450.9 32 290.5 32S0 119.1 0 226.6C0 322.4 103.3 402 239.4 418.1V480h99.1v-61.5c24.3-2.7 47.6-7.4 69.4-13.9L448 480h112l-67.4-113.7c54.5-35.4 88.4-84.9 88.4-139.7zm-466.8 14.5c0-73.5 98.9-133 220.8-133s211.9 40.7 211.9 133c0 50.1-26.5 85-70.3 106.4-2.4-1.6-4.7-2.9-6.4-3.7-10.2-5.2-27.8-10.5-27.8-10.5s86.6-6.4 86.6-92.7-90.6-87.9-90.6-87.9h-199V361c-74.1-21.5-125.2-67.1-125.2-119.9zm225.1 38.3v-55.6c57.8 0 87.8-6.8 87.8 27.3 0 36.5-38.2 28.3-87.8 28.3zm-.9 72.5H365c10.8 0 18.9 11.7 24 19.2-16.1 1.9-33 2.8-50.6 2.9v-22.1z"></path></svg> packages for interactive mapping ### **Interactive visualization in general** .pull-left[ - [`plotly`](https://cran.r-project.org/package=plotly) - uses [Plotly.js](https://plotly.com/javascript/) - [`highcharter`](https://cran.r-project.org/package=highcharter) - uses [Highcharts.js](https://jkunst.com/highcharter/) ] -- .pull-right[ *Work well with vectorized spatial objects (`sf` and `sp`) in particular. Not so much with rasters yet.* ] -- ### **Interactive mapping in particular** .pull-left[ - [`leaflet`](https://cran.r-project.org/package=leaflet) <svg viewBox="0 0 512 512" style="height:1em;fill:currentColor;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M173.898 439.404l-166.4-166.4c-9.997-9.997-9.997-26.206 0-36.204l36.203-36.204c9.997-9.998 26.207-9.998 36.204 0L192 312.69 432.095 72.596c9.997-9.997 26.207-9.997 36.204 0l36.203 36.204c9.997 9.997 9.997 26.206 0 36.204l-294.4 294.401c-9.998 9.997-26.207 9.997-36.204-.001z"></path></svg> - uses [Leaflet.js](https://leafletjs.com/) ] -- .pull-right[ *Works well with vectors (`sf` and `sp`) and rasters (`raster` and `stars`)* ] -- ### **<svg viewBox="0 0 581 512" style="height:1em;fill:currentColor;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M581 226.6C581 119.1 450.9 32 290.5 32S0 119.1 0 226.6C0 322.4 103.3 402 239.4 418.1V480h99.1v-61.5c24.3-2.7 47.6-7.4 69.4-13.9L448 480h112l-67.4-113.7c54.5-35.4 88.4-84.9 88.4-139.7zm-466.8 14.5c0-73.5 98.9-133 220.8-133s211.9 40.7 211.9 133c0 50.1-26.5 85-70.3 106.4-2.4-1.6-4.7-2.9-6.4-3.7-10.2-5.2-27.8-10.5-27.8-10.5s86.6-6.4 86.6-92.7-90.6-87.9-90.6-87.9h-199V361c-74.1-21.5-125.2-67.1-125.2-119.9zm225.1 38.3v-55.6c57.8 0 87.8-6.8 87.8 27.3 0 36.5-38.2 28.3-87.8 28.3zm-.9 72.5H365c10.8 0 18.9 11.7 24 19.2-16.1 1.9-33 2.8-50.6 2.9v-22.1z"></path></svg> packages expanding `leaflet` capabilities** - [`leafem`](https://cran.r-project.org/package=mapview) <svg viewBox="0 0 512 512" style="height:1em;fill:currentColor;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M173.898 439.404l-166.4-166.4c-9.997-9.997-9.997-26.206 0-36.204l36.203-36.204c9.997-9.998 26.207-9.998 36.204 0L192 312.69 432.095 72.596c9.997-9.997 26.207-9.997 36.204 0l36.203 36.204c9.997 9.997 9.997 26.206 0 36.204l-294.4 294.401c-9.998 9.997-26.207 9.997-36.204-.001z"></path></svg> - [`mapview`](https://cran.r-project.org/package=mapview) <svg viewBox="0 0 512 512" style="height:1em;fill:currentColor;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M173.898 439.404l-166.4-166.4c-9.997-9.997-9.997-26.206 0-36.204l36.203-36.204c9.997-9.998 26.207-9.998 36.204 0L192 312.69 432.095 72.596c9.997-9.997 26.207-9.997 36.204 0l36.203 36.204c9.997 9.997 9.997 26.206 0 36.204l-294.4 294.401c-9.998 9.997-26.207 9.997-36.204-.001z"></path></svg> - [`tmap`](https://cran.r-project.org/package=tmap) <svg viewBox="0 0 512 512" style="height:1em;fill:currentColor;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M173.898 439.404l-166.4-166.4c-9.997-9.997-9.997-26.206 0-36.204l36.203-36.204c9.997-9.998 26.207-9.998 36.204 0L192 312.69 432.095 72.596c9.997-9.997 26.207-9.997 36.204 0l36.203 36.204c9.997 9.997 9.997 26.206 0 36.204l-294.4 294.401c-9.998 9.997-26.207 9.997-36.204-.001z"></path></svg> --- class: inverse, center, middle # Interactive mapping with Leaflet ![:custom_hr]() ## .font160[<svg viewBox="0 0 512 512" style="height:1em;fill:currentColor;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M256 8C119 8 8 119 8 256s111 248 248 248 248-111 248-248S393 8 256 8zm0 448c-110.5 0-200-89.5-200-200S145.5 56 256 56s200 89.5 200 200-89.5 200-200 200zm61.8-104.4l-84.9-61.7c-3.1-2.3-4.9-5.9-4.9-9.7V116c0-6.6 5.4-12 12-12h32c6.6 0 12 5.4 12 12v141.7l66.8 48.6c5.4 3.9 6.5 11.4 2.6 16.8L334.6 349c-3.9 5.3-11.4 6.5-16.8 2.6z"></path></svg> 20min] --- # <a href="https://leafletjs.com/"><img src="https://leafletjs.com/docs/images/logo.png" alt="" width="25%"></a> ## Leaflet library > Leaflet is the leading open-source JavaScript library for mobile-friendly interactive maps. Weighing just about 39 KB of JS, it has all the mapping features most developers ever need. -- <h3>Examples^*</h3> - [The New York Times](https://www.nytimes.com/projects/elections/2013/nyc-primary/mayor/map.html) - [The Washington Post](https://www.washingtonpost.com/sf/local/2013/11/09/washington-a-world-apart/) - [GitHub](https://github.blog/2013-06-13-there-s-a-map-for-that/) - [Open Street Map](https://www.openstreetmap.org/#map=11/46.8543/-71.3414) .font70[ ^*Examples provided in R Studio's [Leaflet for R](https://rstudio.github.io/leaflet/) introduction ] --- # <a href="https://leafletjs.com/"><img src="https://leafletjs.com/docs/images/logo.png" alt="" width="25%"></a> ## <svg viewBox="0 0 581 512" style="height:1em;fill:currentColor;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M581 226.6C581 119.1 450.9 32 290.5 32S0 119.1 0 226.6C0 322.4 103.3 402 239.4 418.1V480h99.1v-61.5c24.3-2.7 47.6-7.4 69.4-13.9L448 480h112l-67.4-113.7c54.5-35.4 88.4-84.9 88.4-139.7zm-466.8 14.5c0-73.5 98.9-133 220.8-133s211.9 40.7 211.9 133c0 50.1-26.5 85-70.3 106.4-2.4-1.6-4.7-2.9-6.4-3.7-10.2-5.2-27.8-10.5-27.8-10.5s86.6-6.4 86.6-92.7-90.6-87.9-90.6-87.9h-199V361c-74.1-21.5-125.2-67.1-125.2-119.9zm225.1 38.3v-55.6c57.8 0 87.8-6.8 87.8 27.3 0 36.5-38.2 28.3-87.8 28.3zm-.9 72.5H365c10.8 0 18.9 11.7 24 19.2-16.1 1.9-33 2.8-50.6 2.9v-22.1z"></path></svg> package [`leaflet`](https://cran.r-project.org/package=leaflet) .font90[06/2015 (1.0.0) &nbsp; // &nbsp; 01/2021 (2.0.4.1)] - The `leaflet` package integrates and controls Leaflet maps through <svg viewBox="0 0 581 512" style="height:1em;fill:currentColor;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M581 226.6C581 119.1 450.9 32 290.5 32S0 119.1 0 226.6C0 322.4 103.3 402 239.4 418.1V480h99.1v-61.5c24.3-2.7 47.6-7.4 69.4-13.9L448 480h112l-67.4-113.7c54.5-35.4 88.4-84.9 88.4-139.7zm-466.8 14.5c0-73.5 98.9-133 220.8-133s211.9 40.7 211.9 133c0 50.1-26.5 85-70.3 106.4-2.4-1.6-4.7-2.9-6.4-3.7-10.2-5.2-27.8-10.5-27.8-10.5s86.6-6.4 86.6-92.7-90.6-87.9-90.6-87.9h-199V361c-74.1-21.5-125.2-67.1-125.2-119.9zm225.1 38.3v-55.6c57.8 0 87.8-6.8 87.8 27.3 0 36.5-38.2 28.3-87.8 28.3zm-.9 72.5H365c10.8 0 18.9 11.7 24 19.2-16.1 1.9-33 2.8-50.6 2.9v-22.1z"></path></svg> -- ### **Features** - .font70[full list [here](https://rstudio.github.io/leaflet/)] .font90[ - Interactive panning/zooming - Compose maps using: - Map tiles - Markers - Polygons - Lines - Rasters - Popups - Embed maps in knitr/R Markdown documents and Shiny apps ] --- # Package [`leaflet`](https://cran.r-project.org/package=leaflet) ## Quick map .pull-left2[ Leaflet map centered on the St. Lawrence ```r library(leaflet) lf <- leaflet() %>% setView(lng = -63, lat = 48, zoom = 5) addTiles(group = 'Default') lf ``` .font70[See [`setView()`](https://www.rdocumentation.org/packages/leaflet/versions/2.0.3/topics/setView) documentation for more options to set map extent.] ] .pull-right2[ <div id="htmlwidget-4dd5ec5c620da0333248" style="width:648px;height:648px;" class="leaflet html-widget"></div> <script type="application/json" data-for="htmlwidget-4dd5ec5c620da0333248">{"x":{"options":{"crs":{"crsClass":"L.CRS.EPSG3857","code":null,"proj4def":null,"projectedBounds":null,"options":{}}},"calls":[{"method":"addTiles","args":["//{s}.tile.openstreetmap.org/{z}/{x}/{y}.png",null,"Default",{"minZoom":0,"maxZoom":18,"tileSize":256,"subdomains":"abc","errorTileUrl":"","tms":false,"noWrap":false,"zoomOffset":0,"zoomReverse":false,"opacity":1,"zIndex":1,"detectRetina":false,"attribution":"© <a href=\"http://openstreetmap.org\">OpenStreetMap<\/a> contributors, <a href=\"http://creativecommons.org/licenses/by-sa/2.0/\">CC-BY-SA<\/a>"}]}],"setView":[[48,-63],5,[]]},"evals":[],"jsHooks":[]}</script> ] --- # Package [`leaflet`](https://cran.r-project.org/package=leaflet) ## Base maps .pull-left2[ `addTiles()` uses [OpenStreetMap](https://www.openstreetmap.org/) as default base map. Use `addProviderTiles()` for other options. ```r leaflet() %>% setView(lng = -63, lat = 48, zoom = 5) %>% addProviderTiles('Esri.OceanBasemap', group = 'Ocean') ``` .font90[Full provider list [here](http://leaflet-extras.github.io/leaflet-providers/preview/index.html)] ] .pull-right2[ <div id="htmlwidget-8eef5ad783ad47aff19c" style="width:648px;height:648px;" class="leaflet html-widget"></div> <script type="application/json" data-for="htmlwidget-8eef5ad783ad47aff19c">{"x":{"options":{"crs":{"crsClass":"L.CRS.EPSG3857","code":null,"proj4def":null,"projectedBounds":null,"options":{}}},"setView":[[48,-63],5,[]],"calls":[{"method":"addProviderTiles","args":["Esri.OceanBasemap",null,"Ocean",{"errorTileUrl":"","noWrap":false,"detectRetina":false}]}]},"evals":[],"jsHooks":[]}</script> ] --- # Package [`leaflet`](https://cran.r-project.org/package=leaflet) ## Multiple base maps .pull-left2[ Use [`addLayersControl()`](https://www.rdocumentation.org/packages/leaflet/versions/2.0.3/topics/addLayersControl) to toggle base map selection. .font90[ ```r lf <- lf %>% addProviderTiles('Esri.OceanBasemap', group = 'Ocean') %>% addProviderTiles("OpenTopoMap", group = "Topo") %>% # Add layer selection addLayersControl( baseGroups = c('Default','Ocean', 'Topo'), position = 'topleft') lf ``` Note that we are adding features to the preexisting `lf` object ] ] .pull-right2[ <div id="htmlwidget-1243db5fc93c5b14cca9" style="width:648px;height:648px;" class="leaflet html-widget"></div> <script type="application/json" data-for="htmlwidget-1243db5fc93c5b14cca9">{"x":{"options":{"crs":{"crsClass":"L.CRS.EPSG3857","code":null,"proj4def":null,"projectedBounds":null,"options":{}}},"calls":[{"method":"addTiles","args":["//{s}.tile.openstreetmap.org/{z}/{x}/{y}.png",null,"Default",{"minZoom":0,"maxZoom":18,"tileSize":256,"subdomains":"abc","errorTileUrl":"","tms":false,"noWrap":false,"zoomOffset":0,"zoomReverse":false,"opacity":1,"zIndex":1,"detectRetina":false,"attribution":"© <a href=\"http://openstreetmap.org\">OpenStreetMap<\/a> contributors, <a href=\"http://creativecommons.org/licenses/by-sa/2.0/\">CC-BY-SA<\/a>"}]},{"method":"addProviderTiles","args":["Esri.OceanBasemap",null,"Ocean",{"errorTileUrl":"","noWrap":false,"detectRetina":false}]},{"method":"addProviderTiles","args":["OpenTopoMap",null,"Topo",{"errorTileUrl":"","noWrap":false,"detectRetina":false}]},{"method":"addLayersControl","args":[["Default","Ocean","Topo"],[],{"collapsed":true,"autoZIndex":true,"position":"topleft"}]}],"setView":[[48,-63],5,[]]},"evals":[],"jsHooks":[]}</script> ] --- # Package [`leaflet`](https://cran.r-project.org/package=leaflet) ## Add rasters First, get some raster layers from the [`eDrivers`](https://github.com/eDrivers/eDrivers) <svg viewBox="0 0 581 512" style="height:1em;fill:currentColor;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M581 226.6C581 119.1 450.9 32 290.5 32S0 119.1 0 226.6C0 322.4 103.3 402 239.4 418.1V480h99.1v-61.5c24.3-2.7 47.6-7.4 69.4-13.9L448 480h112l-67.4-113.7c54.5-35.4 88.4-84.9 88.4-139.7zm-466.8 14.5c0-73.5 98.9-133 220.8-133s211.9 40.7 211.9 133c0 50.1-26.5 85-70.3 106.4-2.4-1.6-4.7-2.9-6.4-3.7-10.2-5.2-27.8-10.5-27.8-10.5s86.6-6.4 86.6-92.7-90.6-87.9-90.6-87.9h-199V361c-74.1-21.5-125.2-67.1-125.2-119.9zm225.1 38.3v-55.6c57.8 0 87.8-6.8 87.8 27.3 0 36.5-38.2 28.3-87.8 28.3zm-.9 72.5H365c10.8 0 18.9 11.7 24 19.2-16.1 1.9-33 2.8-50.6 2.9v-22.1z"></path></svg> package, which provides data on environmental stressors for the St. Lawrence System. Let's get data for hypoxia, demersal destructive fisheries (trawl and dredge), and acidification. ```r # Install eDrivers # devtools::install_github('eDrivers/eDrivers') # Load data from eDrivers library(eDrivers) fetchDrivers(drivers = c('Hypoxia','FisheriesDD','Acidification'), output = 'data') # Raster objects from eDrivers class objects library(stars) hyp <- read_stars('data/Hypoxia.tif') fish <- read_stars('data/FisheriesDD.tif') acid <- read_stars('data/Acidification.tif') ``` .font70[Use `fetchList()` to see all data available in `eDrivers`] --- # Package [`leaflet`](https://cran.r-project.org/package=leaflet) * Use [`addRasterImage()`](https://www.rdocumentation.org/packages/leaflet/versions/2.0.3/topics/addRasterImage) to add rasters from `raster` package. * Use [`addStarsImage()`](https://rdrr.io/github/r-spatial/leafem/man/addStarsImage.html) from `leafem` to add `stars` raster to a leaflet map. ```r library(leafem) ``` --- # Package [`leaflet`](https://cran.r-project.org/package=leaflet) ## Add rasters .pull-left2[ Use [`addStarsImage()`](https://rdrr.io/github/r-spatial/leafem/man/addStarsImage.html) to add rasters from `raster` package. ```r lf <- lf %>% addStarsImage(hyp,group = 'Hyp') %>% addStarsImage(fish,group = 'Fish') %>% addStarsImage(acid,group = 'Acid') %>% # Reset layer selection addLayersControl( baseGroups = c('Default','Ocean', 'Topo'), overlayGroups = c('Hyp','Fish', 'Acid'), position = 'topleft') lf ``` ] .pull-right2[ <div id="htmlwidget-e2f78f4b4d5b15d41a53" style="width:648px;height:648px;" class="leaflet html-widget"></div> <script type="application/json" data-for="htmlwidget-e2f78f4b4d5b15d41a53">{"x":{"options":{"crs":{"crsClass":"L.CRS.EPSG3857","code":null,"proj4def":null,"projectedBounds":null,"options":{}}},"calls":[{"method":"addTiles","args":["//{s}.tile.openstreetmap.org/{z}/{x}/{y}.png",null,"Default",{"minZoom":0,"maxZoom":18,"tileSize":256,"subdomains":"abc","errorTileUrl":"","tms":false,"noWrap":false,"zoomOffset":0,"zoomReverse":false,"opacity":1,"zIndex":1,"detectRetina":false,"attribution":"© <a href=\"http://openstreetmap.org\">OpenStreetMap<\/a> contributors, <a 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8yk5UAjxOUHByQOLTDhmOPV8ugYB7CQket/XCbKUk38rchqd2oXgoggUAAAAAOCP8CasB3J/8sQ9zI/dzEu4TAZg9+VwI6f7PiWeD0hAAAAAAwFM1BAKPO9tgKxzf9HCa+QjDY1aDBGYqPF/MWAAAAAAAPDXDqkiTtG1TP+3wxCGMcJ3+E/DtMPXhzmb6XEMf8eRohQAAAAAAPFXLnY+POc/hZr5l8s+uj3yQk90OtD98MahYAAAAAAA8FVt2vJXBgsnMtZ2nvlpJsGVHlQY3T1QY3PQSLpzGydRhqFrA80WJCAAAAADgqdmyfu1jsFJCYCbPLs8lNBhaHlY3Qpy2XeK+r7cyY+F+z7E672EZaHyO18Nn8UYCAAAAAJ667Th1sz5gkOTZlVP53cm1lU97LsJqRcRqBcPTCjNwHK0QAAAAAICnzyWLVuYeuC8P8lth6icHNG7Z1IdD/lDxIPWH/weEDqsbJIapj0NVwjJAsIfMXaBt4qkhnQEAAAAALA1bHYZD9+f5VH8rTD2srAzI6fjh33U8OFi2SayuGeg3PQwVEO797IZQDrQ5+TI8GNottoe/YXiKPsk4ucry8/59KHgDAQAAAACSjlcLSEcH9dX7rK54fNB6xyEgkPqQwE/ferAdT4QCWQqVabUKYfV7uZS7MsPhRj5RsaCVooQy7kGhMtXrphBN7TyrnfkDqyJwOrx5AAAAAABJJ0KD3slw4djB35fzGY+1OkgrnQaPMcvgfhUL7lIYhkGuhAplQKSU2hIsDNc6sH7d5VCZEKKpmpjWzwWZleqJxTxrvlseRLjw5JixAAAAAACQdBQSrP58MlQI0Y4qBZIfHfRN2vbj8xMed4zBcs6C95se+uewaCU0cElD6JCPXjf0sxzM/PhMBZdidRQozPazYjRtbAY1C5dL6uaubsGwhc+DYAEAAAAAsHQjfc5P7l3yIXt4gvP6lh0NZRzk1mWx3Jo7l0wKwZbPP7RbmJUXzu1KGcWK196otbkRlbOr65JS60qtM2fhcyJYAAAAAABIOl3Lgue+7cBLCDG0T7jfv9f+8xzabaXkISdfzkkYfh6GOJ5UTYJGa6ZzF6J+6U9Veu0rM812TXffr3XnTtbuXrrv46R+eCWrKB8LwQIAAAAA4FSWFQKrR267T5XD5+gsGA78ZUaClSDj5PP1PRKe+9YHl2JtqtdMk/Wg9Y2oyxcrfeNPL3Tvo6OHXfvaTO1iXTu7STv3Os33stz7Kon7DXzEqRAsAAAAAABO5Wa/dSGMTCbpe9W7PgxOfBq2bOqeT4YLfY6wHLiw8rteqMsPnstMhSuXKr39zVbn3n1DF37tW7ILV7T+/s9097/7bf38w0afftIqt35UZXGiNmG1UgKPRrAAAAAAADi1UNlnft7KU/88rQPL9ZR2/Iw/tF2sjktYfm+mEKUQS+vDhYtRX/3qSF/6M3Ot/SfflH3j60pvfEudd5Kkerypc3/2j/SlHzXa3em0aF2xlpKXDRFm91+diUcjWAAAAAAAnNp77fftu/W7PlQVPOnww+1q6rEeBjL2IcJQjaAhPBgqCkwWy+HfgmRRqsdB1chU16bz56MkKVaucG4kXb8qvfZ15T5UqD74Qy3+wS39yW9JP/jRQotZ2QhRXpdQ4fMiWAAAAAAAPBZPLk/l+5tPeCAPoVQcWDCF6MqdadlWMZQleFk1GerV1ocysNGCNBqZzp2Luna11jvf2df6f/Ub+ujNK7r183W98dFH+s4V19VZlDauaPSd6zr3b36m8EPpb+79M/ve+F2XEyg8DbyBAAAAAIAnsmxh0ONtUdiOU48jU6yO1kPmdGI7ZP+DhRIsxNoUoqmqpLX1qIsXoi5fjrpwrdXlXymfmY/+2r+v3W98U//q40ZrVdZfuHZd8fv/RLv/+Af68b+Z6Ic/nuuvf/xbtl1N3cz0Xvt9zsRPwQMWbAAAAAAA8AjWtydYv6bxlG6kW5a7foWkSvWBe98O4f2XmeLINFo3jdeDRpOgqu7DCEk5S3KpnmRVb5/T+O/+l/of6q/pv/m9rGDSX3z9bcVb/0Q7//MP5C7VlSnGPkdwSe76bnX6a8aD0QoBAAAAAHhsWzb1le4EmaTtMPWh6uBBFQzLKgcv7Q+pycuQQLbMFGRyeTblJMW6PHayZtpYj7p4vtLl15OufnOutd/4hvyv/mfKkr51sdEf7ox1dxEVs9T+8BPd/WCsH/4g6eP3D9XNs7bjUZjgxApPBcECAAAAAOCRtmzqy2b6+xzIbVgLaWUg4oMev3wKL7Majj3fMGIhSNXEFGtT3bdMrK2VgvsQTNld84Oobn+h/OE9xXahf/HpJ/p3d0b6T78y16/NdjX/r/+RfvLPg37443b5nDKTyZcDG8ykbU2ZtfA50QoBAAAAADiVoe1h2AjhK7cPWxyk8vvV+QurXJLCynMNmx5WjvWej74slBaG0SjotSu1rl+Puv6VTm9/Z6aNv3xd4Td+Xf/PzkfaqLKySz8/GMkuXFdYq5STKXXS7p2kblFaLCweDX882mFZqi2ewVt2JhAsAAAAAAAeafXgPyQKN/Mtc5dyvyHC+v95ZItB1jJVsGhH4UL/FUemUJk2zkddvVrrresjfenLUecvSaO1rGqcpezKn86kj3+hP/faV/XmRqO/8U3Xf9z8TDt/97/X//MPO/3BH850sJu02D8qofCh7UIltBhQsfDkCBYAAAAAAI90LCxYOUkuZyn0AcNqG8RntkYsSxyOntCsBAnDlwVbVkTk7HL3fjWl69yVThdeX+j8N2qNf+2aql//trS+Jv/jf6U3Priri//Lb8lee0dr39zU+lpQ6lzdvLxOavz435Cl1Lk8l2GSp3kP/t7kXd+OU2fo43HMWAAAAAAAaMum/siVkX7UBmFR2spTv5lv2RAanGx/uOm3bCtM/Vibg5fn8eGHeP+XPH8p6uLFSlcvR52/1mm0lrR+OStenihe35BdWJNu35U21o497sP/4h/oh78f9PHHrQ7v5bJpwqQQy8vlzpd/w2l9b/SuWyzfx5Ept+QKqwgWAAAAAACSVlZG+me3Otz0W/aoOQTHqhJUgoYQpFCZQm1qDz871TF3rlDZcs5CrKXJZtBrV2u9/rZ0/spC84P42RdLWX4wk//LP1D7R3f16R9KH/xx1AcfJh3utUqtLwdKDsxUWjXyg7dWPEiZ91Dem/c62iZW0QoBAAAAAGfcsY0PD3EjlZkK7v3h/BFzCW56uf8wpHF8Lmi0EY5aHvpHD0Maq1H5kqS9/aTmMCgn6eL1Ruf/1JpGv/qawpVSoZDvzLT47Q/16W99qh/987KP8u69TqmTwsrchlDZZ5ZZPG6o8Leb71tuXalx/a359wkVTqBiAQAAAABwaqedRyD1FQvRFMd2tIYye2lLyJL3kx5LWOFyN002gq5erfW1X3Jd/TWpevuq7PKGbFTCA5/NlT89VPrkQN5ktYtK93Y7/eCHneYHpSJiCD6k/t9+bYWphAsPq8x44N+db9mDNl2cdVQsAAAAAACOPMZh+1Fu+i3LqXzSP7QSuKSuKYd/M8miKVZSNTJduFxpPA4a1WVYo8872aSSTcbSECwctup+squdP2j0we+O9Tu/nfXjP5xr/25Sar0MkPSjtgW5y/MQXkiyMjvySf7Ap/W+vGqoWAAAAACAM+5Bwxc/j6G9woLJc5mlkLOUFn2xgJdBiDasp3QpVtKX3xzry9/Z1+QvvqnwzjXp4nkpmBTLnIVgH6i6Ptfk47ua7UVtbkTtjDu1M1eoS2rgqQQZOT9g9WVfukBQ8HQQLAAAAAAAJD35QXs5o2HlED9sXvDs8mDK+eh291KhUI1NsTKtnwva3Ij66jeCpCQbBYXLG9L6WqlUyFlKWfrkU+VPdtW9v6+7H470kx9JH37QqJv3gxpzPwiyMnWLsv3BVysYpBIqZD1ZyQLui2ABAAAAAPDEtmxlnaQdP8RbMIVhoYMfDWk0lfWP1dhU16aqKpULOUmv/1Kj0S9flTbWS69E10mTsbR3IF08r9AmxXtzXfjont5aTHTvXlBzmBXr0lIhM7WzLLmUk5eso5/vYH344f314OkgWAAAAAAAPDk7/v0QMgyhwrBG0rOWU/5CJU02gtbWo86fj3r99ajzrzW69GsjSZVsoy6BQtdJdSUdzqRFI//ZL5Q+2Ffzo3ua79X65CNXs8iqx7Z8TalUQ7TZpXR0PU+6ZhKPRrAAAAAAAHhy/UDEk8qqx6PDvssVoynW5ecQS6XCqLblhojmJ3uq31hX+mBPfm+u8Pqm7OrF8viP7/Sv54rnR9poGl17o9K93aj93aSqMmWXFodZXeNKbV+SsLJr0oK05VMfqhUIGZ4OggUAAAAAwOfXD2o8mq1Q2iJCX7EQYh8gJNd4LWhzM+ra1Vrr51wXX2+0cTUpnJ/IuyzfbZTvLRT2G8X9RuHtK5JL6f09pZ2FfJF0uFNp546Ukqvqw4oqmrQelLukpP56+tkLqwHDci1Eev5v06uIYAEAAAAAXmGrmx6e9Sf0yzaI/uAegilGUzUyra2FsvKxLxeo6nLoN5MWs6C4kzXu5vJUBj1WE5Ot12WIY5ekGBS/fEF6f1e5DlrbPdT5y7Vu3w1qmyTPUnJXu3B1TQkyJMliWWmZ22G/pTNf4SkLj74LAAAAAOBltNzW0H89bJ3klk39cddNLgc3mso2hqH9oQ8Yci5PF0IJEqrKtLkR9dqVWl/6UtSlN5IuvtHo8lc6Tc67wlpVVkRm02Lf5Aet8r0DqUuycxtSMNmkkrqs/bu17t6W9neTutaVkmsxywqxDIa0uLIJwkv1hOeVUIFw4amhYo13R8oAACAASURBVAEAAAAAzrAtm7qtfOS85VO/mR9d2TCEEMsRC/eZtVBPgibrQefPR127Umu0nnXxeqPJeqMwMoVztdJOko1r2cTkTelNmB9ETTaSqrfPKe82snOtzLM076Rgygedzl3udP7TWut3gvZ2j3oaFvu5b8voB0ZKSp0vw4UhCCFYeHqoWAAAAACAV9RNv2Vyafg6TSuEPUGzRKj6DRAmeVcO8OsXgy5einrz+kjvfO3+R8+wWSts1sr7rdJuo8OPpXsfjZXaIM+m9qe7D3zNdhG0OJRSP8uhXfhy84SZ5A+YnzBsqbhxivAEp0PFAgAAAACcASdDhWUbwwnDp/wPsx2OWiZC1T9JkGJt6mblV5vny3DGS9dca+c7XX5roclX1hXOn1c4N5K3Wd2P7+nwg6zD3bGaw6CLbzSSpG7R5yHzpHxnJp93yjsLxcuTMsRxv9UnP9nQh5+0WsyOX3CIJk9lkoMnKadyPRZtOUjyb82/T6jwFBEsAAAAAMAr7IFVCqu39qsYZaXyYLub+uon+tuhzGrwPMwvsOXjcvJluGCSNi5FXbwUde3qSFfeanTxnazRL19R+OabUl1JB7Py0J19xcNWa7NdLWZZOQfd/ulYo7Ws8UbW+JzLF1np3kK6u1C8NFbeaxTOj1VdnejiG432d2sdHqSyfSJKOZU5CrkPFI6FJO4yMzktEE8dwQIAAAAAnEE38y1bVh6YFGpT7AOCNru0cii3WAIHScuD+XJoo0zjDdNoEjQeB711fSRJuvxmq4tfl+qvX1b4+nXpjavlgWsT6ee/UPrJPbXv72vvF1HzvUrzfdNoIjWzoHqS1R5I9fkotVnd3JRnM8VLtdoPD3Xng4nu/WKk23cada2XoYzq2xx8GKBwfJDCEIb87QXVCk8bwQIAAAAAnFHHPr1fGb5YrwVtH0x9qAQYQgVZv2CiH5lQT6xse6hN40nQeBTUJde1t7Muf0sa/dnrsm9/RfbGV6TUyXc+lvYOpAvnZOd2ZHVQNc4K0VXVQYeHrsm4hBhdG2R7WS5TjC6rpbzfltcdZdV1pRCGlZWmlFy5k1JzFDSsZgu5c1kgU3gWeFcBAAAA4IzbsqmPNsJysGFqXd3iKHUIlR0b6mhBmmwGjcZl48N4HHTxfNTF642u/JmxJKn+S9+UvfOOdOlL0mSzpBif/kT+e7+j7t99oOaP7mq+X2m+H9UcBuVkSl15kXqStXmpUz3O6lpTVZeZCc1h0Hy/0u1fmD74sNHBXlIItlxrKUntzJW7o5/Lmsny/WmGV+LxUbEAAAAAAC+YrdAPVvTns73gpt+yrcOpj9ZMcWxSP4sgt/0Bva9msCBVI9PVN2pJ0rUrtS5czRpvJI3WGk0uSTaOqv78V2Xf+LZ04U0pVtInP5Lf+Uj+Bz9W95MdSWUjxDh1audBk3NJ7SLID4IsSrFypc6UUlTXmExSzv0ch1Aupu5bN5bbICR5cqXWj4UghArPHsECAAAAALxAhkGJkp5bjfmwIaIam0I0WZC6eRnKmDtXTi7LUrUWVI1MVTS9/lqtS2822rzcaPSlTVXfuiL7878qe/tPS5Juz3+q4Le1rouajDelgz+RuiwzqfvFgdqdpHYeVY2yYu2lvaIPAXK2MmthnJWTqTkMZRtEMu3uuO7tdDo4SDq8lxUqrY5S0DBkcvW9I1R4tggWAAAAAOAF4q5jn7hvhanffApVC1s2PbYPYRi+OKhGpQIgBFN21+Rc0OG9ctKPlWnzStS1a7Wuv2W69tWZpIXW/tJbCm+9Jp3fkEa17Nq3dNjt6s7iI41Dpct2Rf6jf6v023+g7k92lA9adfc6SdLhTq1qlPu/10uI0JkO70W5m3In7adKTVMuu7Q7uNxddW2q66B6zdUeZlmwvuXB+yEQJVwgUHg+CBYAAAAA4AWyGirIy/aGz/N8Q6CwDBK8/4DfpFibQmWKpbNB9chkZupaab7IqtdMnk2TDdO1a7Xefsd08fpC429eVPWnrkuvXZJde13avKZ245w+mf9ElVUahahx3JTufiC9/5HaH92TH7TLa+raoHYR1LVldsPhTiUzaXFYpkKmTmoXkstVRdNskZWzK2XXYuHa3e20v5OV+jkQy60QdvS3WZS28tSHN+95tJScVQQLAAAAAPCMLGcl6PSfoN/It2xoTTi2teFzOFmdYCbVa6ZqVA7y9cjk7kpJquty33psSq1r/ULUm2+M9OZXky5/21V/+3WFb71dnufNd6QL13UQFjpYvK8PD0barJOura3r/P5c/nu/p/mtP9L+z6XxRlIzi2rnJcXISepmUfU4qxq5ukVQrF3dPGgxL8FGCKaUSlVDWhnQWNdBk3XXQbO6+7L/tn/TTlZ+4NkhWAAAAACAz2E7TD1U5QSbWl+GB6uhwuO66bdMTylUiHVpE7BQwg3PpWQhd5JGrhCH9Y6Ssmt24IqVtL4ZdOlCpbZzXXpNuvjlTvW/94bCaxekqpKuXJLOv662ikpdq3P1Vf25y+vyD35P+j9/Wy6p/f2PJJdildUuSoiQWtPiMCo1fagxzuqaIAuuUV0ChrV1KYao/cOk7K7cz16YL7L295OauWuxn5WTK4RhqGP/97n60oWjN/BGolrhWSJYAAAAAIAntB2nHuujg201Cfp7zbuek8rKwxMrGpW+mOsMUctrGbYk5M7VzkvLQDNzVSNTTi73MlNh8KUvR116a6H6q+cVLp+TRrU0m0s/+0C+t6/q4iWde+tXNO/2SlqRygyF7ke3le7O5V2WBSnGrIN7tSy4xhtJsXJZdFmULLpye/SazVzaO0iaLfLQvaG2zWoWrnZRtj5YlLxvl5DZ8q1ezlpQeWCIz/SthQgWAAAAAODJnbaq4DmtjZSOD2m0cPQlrbQH3OdKmsOs0XrQ5oWga1dHunxV2rzSavPKQqOvX1B8+6JUPeCU/rPf0ej/+NfqDho1v3db7dwUq6x4YaR0kDV5vVZzu/vMw0xStygVDHJpvmfqGtPOfqfZLC+LDlaDDkma7eblKsycpFBJnsp/jhD7gCQ/7juHJ0WwAAAAAABP6Ea+ZVvN1EM0BUmp7/kPsRx0h+Dhac1KeJiTWx9Ohgc5rXyS30utFLIrRGlyLuj6myN9+WvSRz8//lhfJKX3d2SjfYXzY6mO8t25fPYz2UYtXyTlvUb57vz4a+42siAdfpA1P6iVOtN4zRUrl5Q126u02A9KrWm8cTwJqGtT27lS52rnrq51zQ+zFgdZufNlUPOZv7v/24cw5b2ONohnjTcYAAAAAJ7AMGBxYNHKJ+dDq0F7/Lzr/mzXH27Z1I/6AfprCpKFoQei/xQ/9MshXIqj8rtqZLr0WqVf/TNBr7+7qfjt61IMyj+/rXz7UPmglTdJNoqyUVTeb/o/UgoXx1LKUirlEPmglVJW2mvVzU1tE3Rwt9J8L6oeu+q1YYWlq2tNzUFQMwtKydUmVzBTzq7d/aSmcbVt1uwwazHz5fua2qOKhOE93Q7l7y8VGeXv8uRsg3gOeIMBAAAA4AlthaN1hqEqwYJUKhdWS/GfV6iwOmdA6oOFo1yh3O5Hn+aHYIpj07lLUb/ynZHe+c8vKP6VX5fGm/If/n75W37/p2p/eE9+2MnWorzJfUWAKVwYy7uscG6kcHEizTvZenkT8n6r9OlMB3/SanEQdXA3yrMp1K7RpAxxjCNXiGVg42I/KKdysU3ryi4dHCTt7icdHiQ1M1e38BLY2NFqSU/H39vtOPUhTPHsp97GgSdHKwQAAAAAPIHVEvxQl1BhGDQYx6a0ONpm8Lyuw1WuYQgO5CfaMFZDhWWFhSsE6dpXDxX/yn+kn2xWimGut//8X5X/r/+jup/uqrndyV0KsyR3aX5QZi10f9xpbbPTxtdNdn1TdmVdNh7Jdw5kiyQlV06mnIeQo4QKkjTeTDKTqtpVVa5Yu5rDoNle0KLJylm6/Wmr2X5WTkdtJqt/qKkMcdxK5T2wIXBYGd5IqPDsESwAAAAAwBMYVkJu2dRz57Jg5fCsshjBs3TzOZTh3/RbdmzOQNBRwqCVYKE/ZG9538JhJVwYr5v+g79s2njvL+j2pQ3tHCR958pX5f/in0jnNtR82Gj39kiStH6+Uz3OpcqgXxc53iwtEn5vLqujtFnJrl5QWB9rdGVNm+0vFD/u5NmWVRyxdo3GWdWotEPkHHR4LyonU6ykujItGtfaWlCz8LJWMpY5EUMrh6TlWsnVlpRhQKX76Wdr4vMJj74LAAAAAOBBlp+I9wfZ3D3/nvMh5CgXUG4zsxJ29GUUw3WapGpsqkam8Ub52H//TiVtruuTWaf//Rdj7TafSGtjHf7j39XenVqeS7XB4jDqcKfS4iCWVobKdbhTyRf9Hs0ula8QJHelX+wr77YKoQxsNJOqcZYFV6hcocqqx1mTc50mm1l7+0n3dpIO51m7e0mzwzKo0dPRUMwQS1nCZ0KDlW0XnqUb6ZY9j2AHzFgAAAAAgKdmO0xLgcADSvCXlQUrQxafZqn+MFDS4tGMgcGNdPQ63xu/6xak8XrQN74x0Xf+zrry3/nb+r9/8bG+fanTtd/5gT7+b39XknTvw1ptY6onrmrkGq+XEKEauTYutaqvjBSvrMk2atk4yi6slRdJWb4zV/p0pvTxobr9pMN7tdqFqRq56nFW6solHdyr9MmH0qJvd0jJlbKrWbgO9pMWhy7PrtxvrBxmJ3zGyXfyOa75PMtohQAAAACAp+Q0h1hbqRt/mmsot2zqsS7tGCdXS66+znYs4cZozfTW2yPN5lnN73+q9bsf6Zcvu16bfF0++7eqx1kf/8lYbVMO+lWWcmdqF0GxcjUz07mrUnxtXeHqetkMEU2aNbKLm8p395X3mzLE8aBTO48arydZLG9A6mwZLsTatblRqWk7NU0uQyWDqUtZXb8F4liJgpncfTlnYfiV9TMkYl1+8ZuH3ydUeA4IFgAAAADgOVkNFUI0qZK226k/zqfqy7WSJ6odqtHRWohhY4Kkz3yyfyPdsm1NXTI1reuX/rRr7T/8hnThui4Fyf/lP9XHWz/QRz8eS5LazlVVptyVwQXdIiqOXJuXh/KBcsBXNOVPZwpX1uR39iSZfNbJKlPcqDS2TvP9qjyPletKXdRiP2p+EHRwkNR1rhBMVSwtHONxUDdxdYukdu5Dh8VR9cWJYGYrTH31tr+/8a7/5gHhwrNGsAAAAAAAz4nn45+oe1aZfHfK7RGr6y199aN6qQw4rMpvLUjqPrvmcsumXo1No42gS5ejrr9eaecX0qV/9XON1/+pokvd778vC2UV5UG/BcKCVLnJ3VSvZdVjVzsPmu9HxTtzeZcVr6wpXJzIdxspmPJ+I2+Suo8O1c6iFocjzfejQuXL9yK1ZVbCcnWkSzFKKbsWC9dsljQ/zOrmpWIhpwe3jmyF0gay+h78zX1CheeBYAEAAAAAniPP5YAcysZGhWjaylM/1aDBlW0PphIU3O+gndr+g3uTtoe5DkEabwRduFxpczNoMg4yk66+s1C8uCm/t6/84a7u/l972v2kVttljWrT7n5SSiZ3aVwHrY3KGs1q5IpVlrosq6Py3bnyYSefd8vrCJcnqt7aVPfHh2VlZCelVFKE1JpSG3RwkDVbJM0XWSaV565MMUoxliGTbWXKnT+w1WQ7HG3FyJ1LlbGp4DkiWAAAAACA52QIAb6rd32Ye5A7f6K1lCerEd7rbtlW6ldJqixmkLTcvVivl1Dh6pVK5zaj3vrlAx3u1GrnQbv/el/+/+5rfhA1uzeSTJpMTLNZVs6S1eVpxutZ7lI9zhqvZ9WjrLzfKr5psrWRtNfIuyxlKWzWyrdnSvca7d0e684HlbJLMUijSV8FMc5az0GLtn8dSdldKUuHB0nzg6zmsKybfNg4iqGqYpA7P20RCJ4CggUAAAAAeELb4WjegUunDgjea0uJ/nerqT/OAMebfsu2NH3oI1ylCsJCOWyP14Mm60Ffemukr/zqQvJG4/Oubnb0mK4xzfcrzfaCPv6kU1WZUipDGw9nSSkF5SStTSqN1tKx16ve3pTVUTKTrddq31+omQfFaqEQXft3x2WbxJo0Ozx6XIiu3FdC1FXQqHbN5lnzWT+wsfP+73Dp+EsuDRUbN/2WbeXjsye2wsPfJzw9BAsAAAAAzpQHtQ98Lv3cxK1wypaG3nvdk11HqEyeXN+NU7dYvn+vKwfsYevD/UyumMa//iVZDGp/8InyHxxo/26lrom685Hpzk6rZuG6eDEee1xdmyaToPFGVj3JWr/QanwpKF6/oHh5TTaOan90Vzb+7BGza0w7H9XqWteiyRqPglJnms9KVcXhLC3XTK7KndR2uWyEkJbzJJbDK1duu58nqQLBkyFYAAAAAHCmmPWVBn669ZCn5s/uMLtlU69Gpjg2eXalRgrjUpUgl1KSvjd+13N7dNL2LK2dD7pwsdKXv1TrS79yoNF33pRdOq/8/m01P96VVAKEg7tRB7NOzcKV3fXxx60kaTIJWpsEjcdB62tBIaYyfLEfIWl1LK0PMShcmqj90Y4Wh1F7n9aqxrlULHxa6XCeFMy0sRbUpdK6sH94tAXC3ZWSaz7LauZZOUld42VeQv/e3pdJWzqqWnhovwSeGeZZAAAAADgztuPUFVTKC6z/+XO4kW+ZZ5VWiGd4qK1GfV7hkgVTHJV1jKYSlFQTW26cMDONN00XrkW9/sZI73y5lpmUmqB8Zya/tyc/bBVGQYe7lfY+qbW7n7S3l5RSaUFIqbQhNK2rroNGVXn+dh7UzoK6zuRNltVBMqn76Y4O/8093ftppdleVDXKy+sbb5T5CW1yzRuXu+vOvU7zedb+ftKnn7a6e7fTzr2kZn40GSEnv3+gsBrd+IO3ROD5IVgAAAAAcGYcO/zb0wkDbvotGyofnlVff+r82HDC5VpF679kCtUQOkiT9aDNzajJ2BSidPXLC02+vqFwaU1+71DN736ij3841k/+KOjeXtLOXqe9nU77O0mzg1w2V3SuySRoVJtCMKVcDvqj9aSN1ySrg/LduXxnIbkU66w4yuoW5UJzKkHE4iCoiqbQzz9oO9d4VForYmUK0dS1rq51uZfNEYv9LO8rGzyXAGcIEG5mKhNeNLRCAAAAADgzjn20nU/8/AiPms0QqnKI/56/66l9sk0PD2RS17piv/0g1qbcVxWkpqx/lEsWpY0LURcuVLp4Pmpj01RPsvY+rWX/36EmHx6om7l2Phrr4G5U07Ta2UmaHSQtDlz1pAxTzEmKa6bFIuugMlVVCRdcUmqD2r1Ga796ST7r5IukdHumw51au5/UpTWjCwpV/zy1yxdSylJVS55NbZt1eJj71gdX27jSwpdBj+eHVyLQ9vBioWQEAAAAwJmyHP73GGX0Wzb1of0gta4b6fjjvlu/6+H4vEN1C3+qZfpbNnULpS3CgvpKBVd7WE7YFkvVwtq5oDeuj3TtWtRkMylEV4hSNepnHtyt9fH70seftJrNSuvB4iCrm7tiZaom5ZLriWljM+rSxUrnN6Pk0rWvzbX+mmv0y1ckSeHqhro/vK2822jvJ1m7t2ultrRNVCNX15h2d4+GNsYgHfaveTBLms+yZge5n6cgeSohCYMXXy5ULAAAAAA4Ux730+4tm3q9dnTONStrIlc3OuR+NeLy5/R0ev+HLRPbfYtFqEypKzMVQpAkk0VJ7qrXTGubZVjj5npJORb7cfmnhujqFkG373S6c6fTwV5SNy8DEr2f3aBQrn20Zrpwoer/lv73VlobwkZQuLxefnf7QN5lNbdbdW2l0SSr8dIKcbhXqh9SKq0POZd1kmamuipvzVBpEYIpuys/YK0kXmzMWAAAAACAh7jpt2z1wBtH9pkDsK1ECE/rcLxdTb0am/7+2rsex6bJhaDxhmm0UV7MXWrnrmokVWPTuYtR73x5rHe+EnXlelIILu+vJ7Wmg13Tp3c63b17FCqk9qj9IMRhdkN57pRLIHBuM6oeuS692ej8a43qr1+U1ZWsrqQu9wMWXWvnOq2d6zRez3KXJiV70HhUpmU2rWs+d43qUvlRV6b19aC1zdI2Ua+VoZR4+VCxAAAAAAAPsWVTXw0OukU/SHElQLiRb5nmZY2lP4VNBduxrJe0UCoJ6tHwCb+rqk02KismQ5TqcdD5C1Ff/Wql89damaTFYZAFKbfSfCZJrtkia7bIZfNDU6oDLJhiLYVYZjZUI1OsTWvrQTGYFo1rdy/polWa7VS6+E5WvjuXXViT7y3ki07dBweSgnIyNfNSITHeyEqNabzhSq1pcRgULMhMmi+yQv/cVTS1TRkKmTuXp9K2oe7zvHt43ggWAAAAAOAhbnofGsQSMDxssOCNzzEbYMuONkq49zMTouRJyj6sliwhw2LmZZ7CZtTrr9WSpPULSRsXWlkdND5M+nQetLfnWixcIUgHs6yDvaSD3azcHa2plMr3k7Vy8K9GQTmXaxiPTWuTElKMN5M8uWxjJD9YSEEK5yeKl8eyeZLtJ3VNVqykZh6Vk2m0XuYpxEqqomk+z2W7hKQYTW3rGo2DQnQtlKWFa7XFBC8HggUAAAAAOIWTAxufCSsBQujbBarKlMzVzcsBPVSmZi5JLs+m0ch07lzUta/NtP7lkdSNlXYb7Xwy1s6nQYez7v9n782eJMmy+7zv3uvuseRWVZ3V+zI9mAWDmQENi0BQJARZFIY0UoBIox4giQCmKx+k/0CPMpPR9C6T3mS0iOomQHF5ESXSDASm0yiQBGmiDUAQowEwGAxmppfqriUrl9h8uffo4bpHRC5VlVWVlZWZdT6z7srMcA9fw+Oe3z3nd5jmcd3pJJBPA76Mgb1IzHgAcIkhbUVhod0ydDoOqWskxtPA8orBJYJMPWFnSnLlctyHqsC0HLJT1D4NAmJodXz9vkKSBVwqGOMYTSzbu57pOMy8H3wpeB9NKFVUOJ+osKAoiqIoiqIoinKGEGJWRJULLqmNDR2U4zij3151WGe4dDnhc190vPXfvYhJU6a/8z2kCOx8krF7K2E0rrA2mj1Oxp4yj54KTXcLY6DVsbTb0XovzQwIXFpL6LRsNIc0UFXCynpJZ6XCvdDGLmfgHOazr2NGY7LXJrjvfEL10RB7L2e8kxK8wbpYBlHmlmJi+fTTwO6uZzzyjHcC1kW/CmtjKUbSgoHvyeMKOH3bk7rZh3aVOGXUvFFRFEVRFEVRFOWMYUxs9ygCZS5IiNkK7VVLZykG/S+up7z49mS2jrvcZvdjx/bNlHu7FXfulmxtleR5IARmngrtJcvSqmXtynyeOU0NWWpZXXG8+FrghTcK1j+T8+oXx7z55QmX3q5NHv3hdhpyd4ewVxD2ChCDLw3ToWOy6xjvuNiis4qdIMxCBBp8FFCMMVS5UBWxs8ZiSchx6ZsoKkDM+Gi6aCing2YsKIqiKIqiKIqinAGaoNuY2OJxuiu0Vo6eC/6Jn27xxt/ISH7x56OBwR//KeWHQ7ZvLvHpnZJ7WxXuiGivs2zpdC1JYkgSQ6tlaLcs3Y5leQ1cev94fOWvvIjkFe61S7CyBNu7yKd3CTs51SdjTMtBebglxicfGoajkr09z96WpyoEYnUGRSVU7uS7QaiqcLqosKAoiqIoiqIoivKMGbj5DLuxBpfEGf1iGLgeNs3A9aR72fHKqxlv/Qhc/UJJ8qXPwnQKS8uz98lzoSgDIURhIutEASFJY4vMILHsoNWy+IXsA2NMzB5AcKmQdTztK9D6yVcwSxlMSiQE3Gsvwsoy5Pls3eJPtsDA5K5Q5QnDrYTdHShq74TJJDAee8Z7Yd8xz4wufSyBMAbCA4wxH8SGbJo+PaGuhXjSrhzKo6HCgqIoiqIoiqIoyrNGYqmDsWDqThANAxtFBYC1FcfSpRy7miE7Q9gZUv7JXfb+eMoP/qjD3a2C4a5nshtI2gZn534KactggKoUpgTSNJZapGksU7A2kLSENAtk7UDryy9CXmFeuoSYCXJrD3yApTZkKfLBTYo/uEWYeII3TPcyhncT9najYDGZ1maRQajK2KIzVHD9CIPGkzDG3JBNo6kKzwYVFhRFURRFURRFUZ4RfRNn6o2NXRrEg3Pz121ikCCkqeErX23xyufHZD+ygu2khE+HVJ+MuPOHAAmjsacoYhDvCyF4SLPoWyAS3z9JY/ZCksQ4vtuxVFWMxoM3VLnBJZYQDFIF3FvrtZukILlH7g0hLwi3hwAUtwsmeylVbimmsU1lkhiGI0+RB7wXfIAiF8qJECqN/C8iKiwoiqIoiqIoiqKcMo2gYBODTWPnB19GMUCqeWcIm8DSZcdX/0ILgKo0JLsFknt2/zhn+2aL8RDu3isZjwN7O55yEo0Ws44hzQzORREhhFiaICJkqcU6QzuLHgtZN2BszCpoL1W03+5iMke4eS/ucGqRwlN+fxvbTgiTivF3J0z2MsbbjnxsKSthZ69id3eebmEMWAtZyxAqIVSnfaaV00CFBUVRFEVRFEVRlFOkb6Oo4FITyx8MYGJGgbHRuFFCFBeyrqXTjSkMr3x+TPr2KmGv4N63SnY+abG7K9zbidG6tVFI8IUQLPhCyKdCmsZMBecgyyytzJLWWQtNq8kQoN0RfGUQDGFYYoYFdq2F7BX4uxPKjyf4yhC8YfuTDMjYvmOY5oL3FZUXRnWmggCJM1hnKPJAMRGqqZxIyYNy9lBhQVEURVEURVEU5ZTom54ggIFQCdYB1kSPBVu3YKxfby9bXnwl5e0fcVx+JaeYOOytMeWOZ/tml9t3PLu7Fd6DSCyByCexbaMESFpRTGh3onhgbPRSSBLDUsfhUiFJA0kWMxxsIqxeLWi92sJkNgoKewUSBH8vJ3hDPnZM9hxVaRjuwM6eJy8CVSlUFYz3PL4udzDWYC1YV3e8MI+vKfTr9pEbQYWJs4heFEVRFEVRFEVRlBNkscPDPlGmrAAAIABJREFUUTP0TcaCMeBapu7IIIQyvh6CYAwsXXF8/nMdXv9izspXusi0Iv9wws3vdPn4ZsXOThVLG+pmC2XjY+AlBvVJFCdaHctS12JtLHtIE8PyssWlQms5li1k7UCSBbpXAsnry5hWgoxKyo+HTLYd1gr5xDHeTpgMLaNxXG848kwmgSKPeklVBPJhIyzEUo7gY/bE42YrDFw8X81JFa9dH84amrGgKIqiKIqiKIpyQgxsT1waY14RwB9eZiNsmr7pCRaqqQAxYwCYdXBorzk++9k2L79d0n3VIpNY7hB8jLCLIlAWMvNlqApB6vaR1tW+DS52mWi3LN5DktRZESKMx4GVtdhisrvqaS1VWCfYpRYYE0WMH0SDxtF2QqgMxoEvDUkqhLAoKkRloyqFYhyFDQATYheIxi/iSWmUBLV/PHvYZ70DiqIoiqIoiqIoF4G+6YnL5hPpxsC72bVDcXBj3NggUqf4SwzAJUA1Dezu+Vii0EkwqWXrWxXf/8MOf/bnBTvbPooKIZZBuBRs7dkQSw/iBnwp5EWI2REuliZUXmi1LK0lz9rVkrQVaL3RJfvsKiQWgiClp5w49u5kFBOLLw3je47pGO7c9dy5WzKt20lOh43I0RwQ+3LjTX0umnKGRz2nBysonqCiQnlKqLCgKIqiKIqiKIpyAmzIpjnYTtGXh2Ppg2n8xsQAekM2zYZsGhFYW094/XVHd7Wi+nTMnd8rETFM80CeB6q6nSREEcFYg0ti+UPSji0lXRrNE5PEUHmZtZzsth3WQDm1YISlLy/j1jvYlRYyqRj/yZC7v1+xezulGFvKqeXeVlw3SBQoRGAyDpS54NJoGFnlsZ3kwQyFuH/xOAePKC5syKZpfCekFl6uq8/CmUOFBUVRFEVRFEVRlBNCBH5t+v4s++A4rnZyINTekE0z3PXcvSMMtxOGWylbHyX84TcDP/xhzmQvZiCIxG4PSWroLFuMAzAEHztLIIJzBu+FpY7l0opjecnRXYasG1i9WrL0Yytxo4kFHwBhupcQPBQTy3jHsTf0JA7yMpAXgd29irIIJKmh1YkZEkmr3qFY2RGPqzm+MC/1EKkNLB+BDdk0EqJfhYoKZxO9KIqiKIqiKIqiKCdMk4HwsGUwdVBWLykCSWZ46Y2MN17NWLlakY8tn3wcuHOnpCxi94dmFj/JDFkW38R7oZzOY/a0Zbh0JeHl9Yy0JbSWAlVhaC0F0lagu1rRerND8toyYKg+2mPnjwome47tW47xxGNMzJJwLho/5kXsg3lvu6Iso5+Cr2IninIcBYRZ+8w6a6H5PR7gvOsFoiaMFwXNWFAURVEURVEURTlhjhMwz5aplzQmzvwvXXKsrDg6a55whOmhdab2YhAMsYuE1JkC1sU2lr4UrDu8C1knsLpe0F0rqUrD+HtThr97m1u/ucWH/1rwpSEfukPreS9UXhiNPPd2KvJpYDIMFFMhH0XTRjlCKNiQTSPU2QY+lnk0ZRHGPnpphHI20a4QiqIoiqIoiqIoT4kmcD4q6AYOGR02ZKkh61Zk7cD2OKMshXbbAgERcA5EzMxnYZHlywm+Elptw9XLKZ2VQGfV010rcYlgU6imhze6uwU3P7SMJyUiQlkKk3HA1tPRLjH4Ssja++enDbHbhAi8l10TW+sSwcMg78kDyxfM8bI7lLONCguKoiiKoiiKoignTN8e6GZwn3n5Ddk0/dATY8EmhpUrjtdezXjjCyVpOzAdOnbvwWjkSRKD93G2f2nZURQyEwCqPNDqWLKWxSWwtpbw0npKa9kjIZotulRw7agAGCvkowRfWvKxJQSYTANb9yrKMsTOFKXgEsNkGOo2mNGEMZ94fCGx3MHPPSKsNXWWRN1u0oJxBsL+4x1ILAGBWC6hosL5R4UFRVEURVEURVGUE6Rpq9gYLEIMsjkiu6B5zSaG7iWH91BVUEwtLhWq3OKDMNoLpK3Y+SFxsWWktdBuO6bTAO3YrQEgSQzrlxNWXixZWquioJAGjDXYtYzJDwtG22lsI1nE7IN8Ejs+VKUw2Y1KgHUGXwTEAxYEgQChrM0hgblHhCEEgQKMi8fk89gOs297suin0GQwaKbCxUE9FhRFURRFURRFUU6IvomZCtZSuxZG5AivhL7tSRN0Gxu9EV59NeO1zwjLl0uqwjC8m/DBhwW+EqajQFUGqioaJjpnWOo6Ll1KWF5xtNuWbtfy1pspr31pyvqPwvJXlsleTHGXW4QSiptTQjBUhcWXhiAwGcNwHLh7t2R4zyMhljGESuLPlcQMhYXjuO5rQaBpA+ljR4hQCT4XqonwTrUZfRtrP4X+AT8FFRUuDpqxoCiKoiiKoiiKckKYeuo2ZirILGvBWBjI3G+gb3vSRNUuM7SXLS+9nFKWgcluAmSUU8u9nYrghaxdx/F1iUKSGtodS5oalpK40SAxk6Gz5ln+8VWSL70M1mJvblF+d5syt0z2Esa7jnxoubdbkedRKZhMA/lUEC8EAWNjm8pFQcQX0aCxERWu+03TtI48SiQY2LrrRZO5oTaNFxYVFhRFURRFURRFUU6IWbtFiLP5B15vAnEDYGO5QdIydJcsrcyy/pIhbXnK3LJ1R9i6VyECaRbfNMssIQitlmW5a7m8Dt3VEoDpyJG2A1c+U+HefAUw+O/fpvj2XQB8Zdi7k7C9HZjmJeNxoCgCe1seBKpcopekiRkIcmDnr1eHxYMHZR2IzDM34jkR+kHLHy4iKiwoiqIoiqIoiqI8LRa7Psz8CGJGgE1ie8nlVcfaWsJy1zHdi+vkY0ueVzF7wEAI0G5b2h1Lt21JE8OldWH5SrnPxyFUhukWmH/3Ie6lLuHulOk92L2VsXXbMBxWjMZh1vFhWvspiERRAZl7IDwxs3eJJ8HYaOzYD/fPclDOJ3ohFUVRFEVRFEV5rnlQOv+TvOeGbJqmHADYJzJYZ3AZZB3L2uWEq1cSuksGmwjlxHLnXsX2dkVZBIwxdJdjucMLlxNWlqOxY3s50F6pSFJhspcw2XX4ytDqBtJ2oMyjR8PtrZjRMBp58qkw3vOUk4V0ioX9O+lgf1YOYc2sJMImEMrowXCS21KeHXohFUVRFEVRFEV5LmmMFoHZbP2jBNaD2oxQHrJe38zFhVj6AGnLkmbRJ2F1xbGy7EiTuNBoEijKwN4wCgEhCO225aWrKcurBpcILhUwgnUxSwFguOW4dbeMXSKA0dAzHQYwkGQG8VDm0Yix2d9GVGk4aXHF2LmoYBNYW09mpSLjUeCX7/y2xqQXAC2FUBRFURRFURTluWShaQMGkJip/1BmPgm2eR9DvzrsHXAjvSbGRr8CW4sGWTf+ax0kqaHbtRgDe0OPAN7HFo0QjRpFotdBu23Z2fNYm5AmcZ2iFMoqCg/3dirKsoxChBeKScCX8XiCF6qpgInvubifp1GOIBJTNUIVPRdEOOTfoJxvVFhQFEVRFEVRFOW5ZJ/RItxXVGg6ODTeAxuyaW4kPcEYXMIsYMfXy9fCg0tjhkLWtVhrkCDx98xgbRQVEhd/nuaxjWSzX5UXrIU0tUzGnr09z/KyIy8C0xzGkzATHYbDuOHpOFCVscxgsZuDCGyEozMUnhZNtkLcgSgudC65mWgC0OlaBq4ns9aVyrlFL6CiKIqiKIqiKM81/bqk4ahSiBvpNbE2ag6hFK6HTfNe65pgwSWG4OtVPfhKuO43zcD1xGUGlxhaS7ElJAZaLUOnHUWGPA84FzcVgjCdSixhEGh3LMZGsWI6CXgv5KOABLj8UkIIMB76mWeBr+K+hSpmOxjAuPhi42PQHOOs9COcTLZC876LwoWxcTvGmpl4IwKhErqXLZ1lR/DCzi3PO+X7GpNeADRjQVEURVEURVGU55v7eCT0TU9sU+4AuNTQL/fP+IvU2Qp1ev/f71wTDNjEkNQtIpvAut2ys/WSJAbd3guTSWA6CVSlECrIJ3FaP20ZfCVUxXyTO3eruo2jwVgoJ/O2kIuZCSxkBjTsK/2wzDIsHpd3W9dmHhXvhmviy+jdMGB+jpK2ia0rQxQa/uutbxi2nmy7ytlDhQVFURRFURRFUZ5rjjVzb5iZIBoXxQRfRSPERlQ4Kh88eMFYQ5oYKi+0suiPkBdCWcTyhyZz4SCTnQB15oI03gtFs5nYHtIlx5zwv8/+nRTRpJGZWGFq4YMg83OjvgoXFvvwRRRFURRFURRFeR7pm56cVk3+WWRDNk1VxIDeugN+DAs0GQONMaFLDVnH0OpY1q+mdDuWNDGzrg9xJQgBykIY7QXKQsiHQj4M/Lc73zDFWDCu1gIWr4AsmB8KfL1434RKeKd83zzMq+C63zQSolBxEr4GoZrvmC9jGcjB+6XKa+HFx2WUi4nWsyiKoiiKoiiKso/F9ohNUPu0ugf0bWz5eFI1/0+DG+k1sclcOAhVzFaY+QrYumSiNnNMO/Ew2l3LykpCt2MpSsEYKEuhrAL5VMgngRCicFFOZB541+KEy+Ksvy9lZsjYGEieJfq2JxsL+zVr42nmAshZvbbKyaAZC4qiKIqiKIqizFgUFQz1LL15Ot0E3s2uSdoxJG2DdXAjOb3siL7pSd/G/x603KAWPpqoONQmjfuoMwisA5cZrDN0lx2djqPbsThnSBIoikCeB4KPIkUQKMZCOY7Gi8bE820Tg0uZbVQ8+7o8nDU2DogdG7JproeYHaGiwvOBeiwoiqIoiqIoinKIk4wEB7YnwuEAVBbic9cyVNPTS5W3rumcAP1q/4z7ItfDphn4noCB2uvgqGWtM6TtKCokqaGqBGsDu3uwtGRpZc2cbmA6DRRFzFDwZWNsOH8vCUIIBlOnizTmj+ctQD9v+6s8PiosKIqiKIqiXCAOzirrwF55XE7K669ve+JaBmPgXX9Nvp7P2wu6dGF7Pqb/P2mnguNwI70ms0De1N0eip7c7/MSWzpGrwDrYjcEaLpBCMYZbG1eKCIEH1tGJokhywzORqEhBKi8kKSGIhesi9kJ4mWfyALxfCDgffQy0M+ycpbRUghFURRFURRFUWZsyKbZCJuGGEfHOfPHTCTom56kbbPP9LAJyqFulVgLCRLg16bvn0rwHA6UMoi/f+A+sD1xqcGlpu58EP+1tZdC0rZkXYNNDdbGbIXuksNaQ7ttWerGLhBVJVSVYDDk0/hzqKIYYdP6HMn8P1/GjhMP2jdFOSvoDaooiqIozzGz2W2zP0W5b+4/c6ecXe5XA6/XUnkSmvvqce+jG+k1WcxMqKayz4DwSd//cRjYntjELHgYCO9Uh7c/sD1pgn6RKH7YZN4dImkZgockjZ4IEqDVsaytOi6vJrQ6ELxhbxjYG1aUpeBrrwRfCUUemI5C7c8QS0F8qUKCcv7QG1ZRFEVRniNmTt0LNJHo4t9FDtdCK+cDLYVQzhqLwkKVx9vzJFodPipHdZ/o2548zFzwvfY1cWl82ZfRZDFpG1wS/RQwUVgA6HYtaWp47dV4wGlb8IVhb0/49HbJzlZFq21jFCbgvVDmEksoPPginp9fy08nc0NRTgothVAURVGU54gN2TSHprTl8EyD4ek4wCuK8vzxTvm+KScSMxX8pnkWosKN9Jok2bycoWEjbJoHiQoD1xPr4s8itdFi/WT0lVDmgeCFqhSqQnDOsLqS4EtD1g1IgHwC97YrhjuepCmnaLo/2FiWISG+PxbCGe7+oCj3Q5UwRVEURXmOODJjoXZom/1dzqf7uHJ+0FIb5TRpWljaZH7L+WJ/OcaDeDe7JjaJ64dKKCeCTQxJFrtKWAcIXFpPuHolpdu1hNo3wnthb+y5d68inwbKPK5rHYQKJruxH2Ozb01Lya9rxoJyztCMBUVRFEV5jpj1Fm9M2RoBoRYTGrM2RXmabMim6duHZ8T0bU+Os5yiPIh3qk1j3DxOD55jiwp90xObRi+FJtPBuvj71Vcz0lYsh/CV4CvBWrCJkLSET+8UfHAz55ObBZNxwPvooxDq8od8FLMd3ik3jc+jkWOoREUF5VyiN62iKIqiLDCwPUk7hl8Znc7A7r3ONfnM59u8cCnhy7/zTx9rm03JQpNx8KjZBoslD8bMHeAX36NvetLUBMPJZzMMbE+StsFYw68Mv2Gabeqs9sXhUQz6+qYXWwEuZNE8i/R55WLRNz1xmbmvUeOD1nFp7aVQr59khtW1hCSB8TimGbz8UsbKqiGfwJ2tiq27JflYSFsG7+PDM80MVRlLKoqxqJeNcmFInvUOKIqiKMpp8o/WvyYuMbz8Uspf+YN/ft8B3T+++jUpc+GFlxLuflpFw67y+IPRo+jbnixddrjUMLzreafcL178y6/8DfmZ/8Lzp/+6xXf+dMLebX/sAH6xZtgY6IfjBeVNaYRNDK0Vy8qqQxDGe4H39q5J8DJL6X2aJB1DksXd/T8u/4KUE5mZvN2PwcJMtpZunB0e5brMBASI4kETZOmVVJ4SvpB9xo2Lngu+kAcKWFnH0OnE1pHrL6SkqcF76LSFEOJ/R928+Sjwa9P3zcD2pMoWXXJP9tgU5VmiwoKiKIpyIfiHL3xN0szwX938rcPtwlxP2quW/+beN/a99q2f+5sSRPj0TknwwisvZqyuB1pLnsme494twye3ylnN64lQm3V98asdtn7yr8ra33wL+1M/gfiSL33wIbvv/Qfy4tFGmxuyaQZSZxQ8xv5gIOseXrm1YpnuBqyJrdikWf4UBsPyiNswBvpohsNZY/G6HMyAsQkzR32/cM8PXE8kxNtslrCgAZhyAhzKwjpAtmS5Mbkm75Tvm77tiSGKthLivZymBucMKytu33rWws6ep92yjMaB4cizc6fiVw9kvul9rFxk9MtXURRFOdcMbE+WXnBkrdj6q8iF8W6cYl8c1L3buiZLlyzWGd54vcXyssGXBhH44cc5ly8lXH0xLr50qSIEw/BuwiefVtz8qKCcykNnsx7Gu9k1WX7BsbLq+OKPWV78qtD6Wz8JgHn9M8j2Lcr/6//l+78Z+O73Cm79oHik7c1q0R+1FML2xDrDlVcSul2LAEUu3L1ZxmwFOZy1cNQA/UmC+ibd2Nq6nZs/xkz3gYk/TSk+GyxmLBxVx/5u65pIAJfWmTIdQ1VEV/1QxSDOVzFF/DTLYbT05vlj4GLGQrYUsxCa8oRQCWnH0F6OqQwiUBVCq2PpLlmWlhydtiWpfRtu3y0pioBzhuk0MNoNSBDKscxK1I7r6aAo5xW9wRVFUZRzz2+s/oK0lyxZKxoEjPY8+VD4evH+rFY/7RpaXUtSO2+/+WaLVmapKuGHH+VkqeHK5YRLly3WCZOh4aNPCu7cLPFFNNSCJ0+3f7d1TVbXHVeupLz5tuHFz05p/cwrhHsT9r65x8ffafPnP5xy96PysUSMvu2JS8xsZuxh+92IAi4zrK47XH1+ghf2tjy+ZJ+wcFBQMHXGQ7O9Jw3ujytSHCUsLGZSaID4bDkqSH+3dU2MhaU1x9Ky5cX1lBdeDRQTy/e+WwGwdaeknEYH0ao4vfrzg7PXev88HwxcT1q1eNB0fJAA+TCQLVu6yzZ2bwhR8Gp3LJ2O5fJaQpbWz8ogbO957twpGe8FQt12UmSh0w5xfb2vlIuMlkIoiqIo55omwHR1u6/xMFBOBZsARVxmQzZNf9wTXwSSFoiHPyunpKlhtO0xDtrLluk08PFNKEshHwZ88fCZ80fdV18Iwy2Pr4SqSviTP0rgn99m63ZFNRVCtYeEx5/dMibOBBtrYr2vxAHtUWUCTX27dYZQCtufVLRXYsZCvhfmgXrdivLgPm3IphksGkc+YZrvUanJD1puMa3Y2KOXedTsDeXxWRQTDgpQSctw6cU47PyZn7Os/+JV7Fc/C85Rvf8HLP9uxbd/H3wZZ71COL0MlOPed8rF4EbSE2NjZ4brftP0d6PwHAIQZNYOMmvVbSSpn5EisV1kGagqYWXZYW28V/M8dnzI90L8vln0DqkxFjgFvxpFeVaosKAoiqKcazZk07ADg1FPGvM/X3LIGHFDNg0lUNZ/mMxf65ueFCN/KBh6WgFpORXK3LN7y8+6MJxEENU3PemsWVxqsPVUWZ4GyrEQvOwb1DbBXtNCzRdQ5VL3VJ/vz8DOsxIGpieLWRR9e8DXwTz5eWtm+B4khCx2rgBwqSFtx1r9chrT6Qm1rqAh41OnyZLBwKCKQfrifeLSKCr81F9yvPq//W2+ieW37mX8Z6+OeKtahur3GW0nvPU23LldkY/iRRvYnmj6uHJS9M1+o0az4J1TjgWXMvOQkRBbQRprSTMTyxoKIc2ix0JeBPxuvE/XVhKqOjMsWzIwrMVsOZBVdZJePYpyBlFhQVEURbkQXK82DdXjrXtUIPzUZ7nrgPckA6cN2TS/nl+TpE7RtS6KBUcZLm7Ipnk3XJO4nCFdNhRJXV9ct0Xr28OzbgM3Fxc2wqYZLIgLTxLEHyxtOIqme4W1taGaxN87y5YsM/gAYzzFSObFnmrqeCo0186lsQznN7q/IMbG1nyf/WybH//VFn/+d/4a30H4H//nq6x9MuLX/9M3+QfXb3Hl57/Myjf/Pf/qtwPT3YBILMV5Vp4Zeq9cPG4kvfpZB9iYtWYTwyAsiFfFfFnjYgZDMRGKiWBd7b8wies1z1gMbN+NXzwSiM+eBonPKGN5aDaX+nsoFwEVFhRFUc4gj2vCp5xtmhTZxd+Pu+790rVnbdMWvBKCB+sEX0HSMpQTwTgg7L+3XBYNL50D72MwhwjWxmU3Qix1aIJGY9jXbrNvejITE54wM2CWPsx8W33Tk+YzMLA9sUlsSRlnFuMsYrOsc4Y0BWsdQ/HkozjrqG0onz6NLwe1kADx3yQ1tDuWlRWDe32Vyy3HL/+913jjTz/lo69e5e/9ygdc2fwmf/q/3OTf/25MJQq+vmaaqaAcQd/UQuajfq5NzFQwDsAgRIPGo4TdWTcSicKsCLOSCBH41fE3zKJBqbGQtA1yP4Pbh5Q/DGoBdyCxG4o+r5TzigoLiqIoZ4yB68mllxNcYhjteNh+1nuknCSPM2hsxIDFFZtRbZ96gFu/ON0NtJYtxkOo4sA4BEF8vLdmb2CgGAUkGLKurdN0Dcbtb/2HzLd10ExyJpQ8pXIDU/9vUAsYEoQQwErMWsDEbIskMVgXhYYir43TgtZAnBa+FFxqMBLNQrPaJLXVsrzxSsarPzrC/PQv8Okk8L/+nQ/4Jz/b4W+t3+Uzw5KP3v2A7/5ZQEIsY3kWQVVzHz+sC8ni8qezZ8ois+dgU5olxyuVGbh55pUvwdho0CjhcKZA3/TE2vlbNtlbPjB7xsCBTLMADB/vmAZuv3CrTy3lPKPCgqIoyhnjR/9Cl24njoLurVT8o+Rr8st3flsHsheIZrbrscog6tm6fdUNCwNTiIJBw7663mYqbmHGbzDtSfABY2JQuJiR8Nj7+Jg07QXhgJt684MxcfAt85aUIFSlp9UWkiwaVhpnMOZkjTefhIselG7IphlUjf+FIR8GzIolzwM3b5cs/aBD9T/9M778y1+Az7zOl6efcvfvfpvf/B3D9lbFdDc8URvXkzqG+72m5o5nhKasYP7rsbjuN80NE8sbAEJ5uH1uw4Zsmn7ZE+uYPYRm9+ZTMF6U0GRRRNTgUTnPqLCgKIpyxnjhquHlHxmTjx3ltzO+v5M/611SToi+ien8M4PC8uF1tfuCmgNeCbNfZeGX2nvgKF8FY2EWmZsFc7z88YOnowwWB7YnzX49UrmHrUshjjjO67Jp+lVPygA2qT0WAoiPPd1C5et/Y3bG/QKHZ0EzwwrQDxezlvp62DQEGIR4j5e54CthuxS2byeU0zY3/+4HwAd8eLPg1kcVvzJ6/1yeB62HfzbMOs8cEFKPQ9PxoXn8LXLwem7Ipun7nmzI078/9wmocjgrTFHOE3rzKoqinBH6pid/6T9f5u1rc+O5/MMJ7/9Ty9/++Lf0ef0ENCm0Z6Fu+0Z6bZ9J4deLhw9eZ3XFzL+4FwP3fSnCB5H5P6YuHYC6rOARZvQfNus+e90s7EdtXnbsbdi5x8Li7i9et8Ua630YalPHeRu542zzabOv/KTmrOzb02TWBjY1YGrvj0rwhZy7AOqg6KaiwrNjZhb7iM+WRc7a9Ww+KyfVHUhRnhV68yqKopwhfuuLf13+0tcKkhc7yLTiP/6LhG//3viZD3zOM32zP601VM+mjhsW2vLV3M887Mh1jxvYw3zGfyHINwbSruVLP9bhxTc8xsK//zcV42GgmkYjsxA4MstgUdiAw8vMOjocoQo8yvEdLH941EF2cw6e1fWNtdy1cOPjte3bA8f1nBkTDg62JGU+Y3yezkMjeqkZ6NngSbNGTqs86WBpl94/ykVGSyEURVFOkH/4wtfiLF1imA49vzI8firlb6z+guzten7/d9qsLFlu3zX81e/8Mx2APCGLogIspNM+AzbCpqGIWQuPvO5DBqOL3SGMiaUCNjH70n5bnf1v8eWvtNjbhlt3S9ZWEm7eLBjteAbThRaSx+i9flBUECHWQz/C3bshmwY5XtvJB77HGcEsdNZ4bCf7C0AjLPXN/tal50lUuJFEwUgErDleCZPydHnS83+a12/xvjcG9VBQLiwqLCiKopwAN5KetFctWSuOVary0SPXfC88UiCmHI8Q5q3CzgrvlKdbW94MbFdWE175kYpLX7Akr6/ib4/Z/lbO6uWUDz84erTbeBks1jYv8sA2mI8h4DzuesrZZkM2zXkMqKIgEm98fT4rZ41nnaWlKIuosKAoinJCTPcE64QkjeZ8wT9auuaGbBp2YPCtJ+gYoBxiozaVe54M12LGwkIwVNcjt9uGUM2Xq26O8FWKBGi1bPR0tAbMPLJfTN09ahC7mGlw8LXnldgbc/67iiXnl43aNHTRm0TvceW4bMim6Yd5FtZB48jHQbuUKGcVfTAqiqKcEH3bkyQzGAtVHvsLRUNlAAAgAElEQVRkP5IjvulJY3TWBCG+1EGs8mj0bU8aE0NoyhLi/WgsrL+esv5CirWQ50JZCZNJYLjnKUaBqpDZelpTriiR50mYVM4+Z82AUlFAhQVFUZTH5tCswYHa/X017zbOHN/PHK/h3eyaLNr+H6djQLMNHVgoi+wzDZR5C8qsY3BZfMEXc8NGCXE2VoJmyyiKopxVjspY0O9/5SygN6GiKMpjsK+13sLfj2yNRzTRA+Y9tOVwq7+Bi/3fF/GlPNDkbNEQ7VEzJJTng4Pu57MuGdRiwoEhqt5DiqIoZ5vT6mqhKI+C3oiKojz3POps/2LrPTP735wmwJ+JCnVXAmPAOGY17qGK44J94oKdiwvHaUXYt/ud1sXrIOO8choDxYPO/MAjtYRUjkb9JRRFUZTnnYPDC0VRlOeGvu3Je+1rkrQNg+QRzJAWshQOrST7RQWIJo4wnxlu0tOtOxyIXA+bxpfC14v3zXGCPXMgXUIDm/PJaZlxbcimOZihcBJmYs89Jn4WB7YnF91Y7TwfX9/0ZGB70rfn9xgURVHOKiosKIryXDKwPcm6FpsarItBwY30wYPNvunJwNXGeM7MExWEfQrDwQwI0zjgiRCq/aUQT1orOWsDuLDt466rnA2Oumandh31bnliBrYnix/Yi9qSsG/qgNzUP5/XZ00jArlzfAwXlJO6r871/ako5xhtN6koynOJCIgXTBJHmS6DcnL0OGQxfdzYWNIgQTA2lh4Ii94J+zMWZi2mQv0vc2/Gk8gu2JBNM5CeiPBALwbl7HIww6X521PbXphvTzNcnhyR/WLCRY5mzMIP5zHTZV8ZkGZ4nSkGtWiFwMDU32mPeX1iu124QU9C0O9GRTktVFhQFOW5xFjmOVsC1VRmwcGDgi5jgUYkWBARmkF2s87i3w+WK1x/wGDpQdvuNzOjZkGwEDVtvAgcJS487e2d1rYuPM+JqHDQS8Yc6IJzHmhargI0mRf6WTgb1E1rHlBneJijfGkGB3yHzts9qijnGX2YKopyIRm4njQt9u43cFw0SvRl3eRhMUio153NpNRYZ47dlu9Q5sID9qdpD2idIWnPu0g0+xb3E2wCSRYzJ7yHahpihwmdlVGUZ8Lz4NDemNbO4r5zOOPfN/MWrOdx/y8qs+ty8Pv3IR2RFn9fvJY3FjyTROC61+usKKeBftAURbmQDNx8YHHcQcXioHO2bpjPgjRPzKMyBAZ2nrXwIBbXeze9Jp1LlukwkHViGkKaGa5cSXj5xQRjYW9PuLNVMtrzVFXsFJFkcTljojFkkQv5KBDKh3eRUB6d5yFoVJTjoCU0ytNin+jDw4Xypm1uk7UHR7TTVVFBUU4VLYVQFOVi8wRpkItCwfWwaW4kPYltI4VB6MnBIN44sNbEmmsL1sYBj/eC+PlyB2daXnoj48pawsqaYXW9ZP0vd7ArLcof7DD8fkX2nRaf2pLR0FMcbG0JhCBHtr1UnpyDYlOf85E6/TAh7Hll1ir2QOmScjz0fM0ZuDrjTeDrxft6Xp6QDdk0x/2+7tueuCSmzxgB3Dyzb0M2DZUaGSvKs0CFBUVRLiSLRorHWX7RoBEeEowZg3EwIIoLA9sT4+ruEna2yGwWZZH/+62/JlfXU9bWLC4RXAqd1YrV9THpZ9fAuyM3WVbCdBLwhSBAOTXYBEIFVSEEf3HHUAMXg3sBrlenHNhouHBhmIkKynNN3/bkpMvGmvaVWo52OjTmjI0xw1HZgiqCKcrpo8KCoigXlicZWBxlTLZoxCjhcNnBpRcTspZhd9tT5rFrRNYxJKmhu+RYXXa8/DpceqnApYFPvtuZrVtMHXxvB7uckt/1TPYS7nyQcveecPfulMmux5d1JsTCk7uchLibzzjls29jG07gWN4Tj4Mh1s4Gf3qDxo2waRrTzLMi3QySnhhjeKc8epb0YAB9Hk32njp6Tp5LGpHyveyaAPhKHlusbGbMMfFnzVo4XUIlGBcV51CJCgmKcgZQYUFRlAuJtdHDQLzwznEHjo0ttRw9A3Ldb5q+1LPnC6/bxPDyWxlJMm89mbWjmJBlcdNXX0hZWhWyboVLA8mK4/X/pGL4obB7K2V0L65clYZbtyt2djyQk08DxVQInplhZKjizp6VFpN9MxcVIIofTTbHSbz3PkPNZ5HWL3XN7xkZuBoTs2Pec9ckePYJDLPOIcrRLHxuz8r1VJ4ug6QniyVq+3x0QiwbetRnVd/2pBF0F7sJ6T319Omb2pgZkOrsfA8qiqJJnoqiXFDea1+blTYEH+svjxp8HCyBgIcHr033hmbZ9TdSAJaWLNYa0tQwHgfWr6R0u5AtBVpLHgOk7UCSBRDD8F7Udu99krA79Ny9W+G9UEwD+TCWNzQihkgUS+BsGlI1M4EN98sqaEw1H0UgmF0jAzylbIizzKIvgLGQtPYffpVLFL0WTctg5uuhwc5+NAB8PhjYntjUzDK8GlHWJfXz1AEmtho+tvh8cBt196Hn7Zn0rDjYZQmOZ/SoKMrpoB9ERVEuFH3TE5cZsq6h1bEEL4x3Ar6SfYHWjaQnxpqjvQkeMlBsPBWSFrjU4Eu4+krKyrLj8iWLiME6ob3sSVrx/ZNUmOw5JECZW0IFRQHbu55790ryqRAqoSqFUO7PiGgyFaxb/NvZGsw2gkEz4DsoLPRNNDpr/hD8o3WweF6DwZkB2cKRu9TM7oXg4et5zFhozEUBkMcPlvZt2+ig/SwxsFFkO4vi4knRdNh50s97811gTDTWFR8/LwBp3c7XV/WDtk6nP2vPVeUwi21PVVRQlLOFfhgVRblQvNeOtbPrr6W89nJGVQl3tipuf1JSTQIhQJIaTD2LFUr2iQvWzUcsoUmzrAe4zcx5a9ly9ZWUy2sJRSHcul0AsLzseOvthM6yJ2kFyqnFWCinlnxkGQ2FvZFne9sjIpR53G4+CXF7vp6UD7BYbiGhji0PZATA2ZqNflggeqP2BmjwWhf7UI4yHLTOYOzcHLSpL24ErwZ5RPFmkcUMlBB08H4WGLgohgInIhydNZoMA4j37pMe340kfh6aNzE2Gt1e95tmkPQkyequAtYQyrrcTOaeCwe7Cix+D9ikafcrF1bgOeto61NFOXvoh1FRlAtD3/SktWx5+3Nt3v5SjLy3Psr4wQc5W7dKykkcJ1pnsOl8vWoa/+5SM5vZEoFQyvwp2QwxLVx+OeFzb3e49EoJwHTPsXVbWH8ZVl8sSVuefJww3k4Yb8ep5d2hZ3fPMx57qioWiIYA5TSaPIYQ60V9tV9UaAiVzJywm77d52lAdShjIeiA/Dgcylio7wuzYJTZ3AczYUGebOb1YPYJ3L+0RTkdBnXXgYPC0T5D2ROY5T9N+qYnxjHztHHp/l0P1fwZsei1MjvmWgB+0H3+bnZNXAa+BF/UHyULSTua6jaP2VDFkiKozyux9MxYM8sYa57JB0uRjjKAfB4yS+5H38bykPN0LyqKcjLoh15RlAtB3/SktWL54pdip4XP/8SUdM0y+hR+8EcZf/qdCfleiAPYzMwCs1BG/4VmUNtesXSWLFUlMZOgxtWZDC++lPK5H4MXfsxgMkd1c8Te3Sy+lzcsXS5Jl2Byz3Lre212dj3DkWcyCUwnAesMzkFZyGygmmbRWKzMA1Uh+GJBWBCZBXXnfYamyfhoWnFqyvHxWJw5fdi1n/l/yOMHmoteDXB61+pRjvN+6z6rz8ZpBFOLGQsS9osKDccVHB90rgc2Zsk8rni56FvzoPfo25641MyeB425YkNT4nOUD04UFuZv22TwNEamgySKzIsdUWJbXiAmiJFkc+HAV/U+1OfVOjMXL5iLONf9prmRXtv3+ajy/ZlXjVlkgwj37eBy1mnuheP6SMye8fXxa7cGRXm+0A+7oigXhr/fvSaf+9EOX/3LEzo/9zphZ8onv7XHv/qtYpYZAOxzhm/qal1muPJywhe/mNFZ8xRjy2TXYZ2QtoXWUsyAWFkvab/exl5u4daXCFsTdr+5TT5yuFRodTzFxHHnhy32hnV2AlCUwnQasDbOlI3HnqoUrI318lUpFLmQD6P40eyjr442nXzWzFow6szUM2UxoJ7N6jbBUK2LPW6Qfloi0OJstK0Dzao43n2/mNFx0vdjE1Q9bMZ5YGM2Djz91PiDwtG+gLsO/o7jjdGUujTZTw02WRRd46l90LU/KOjMshAWd+s+2S4zg10TMwaa/TA2Hosv50HpLIvGmlnmFib6zrjUzAJZXwrFMJB2Le1lOxNxjYFiIkiQWRnZYjmRyDwrLJ7XOruq3pdQCws0wvTC0fhy/zXv2564ZL7AeS2XaM75Ig86jkaQnJfrxH+05E1Rnh/0g64oyoVg4Hry+udbfPWn4u/rv3QV2c3Z+bfb/N7vWj75QbGvxMCX87IIl8GLr8asg7/8ixXZV9axKy3CvQkyrTDtBHu5g1lqwQuXoKgIP/yU8o/uMr1VUUziSNoYGO0kGCOMthJ2Rx5roCia/HVIE0NRCnke/R7iPsT92t2uqCqopqEe6HKivdFns088eSnFwB14rzMofjwvvNe6JsHHgGmxnd6TpmGfpmHmwPYkW7YzU8p8KLPZzvvVus/2c6HF5pOauTUiR5PublMDAsU4HDqXfRNn3NOOIckMEmA6jB/qZrb94D4+dnnKEVkE9+to0wTdpv698RFwSQyKo5ggzPxOzDyodpnBJSaayFYyKxMzzkCoA2zYV5JjzNyH40bSk2yp8ZaJhrm+Lv3aN6tfizFJ28RuNyZec0SwSdz55lia0jRXl69ZF8XYUP+9vRxPwqJvTZIa2h1LCDJ7zorEffGVEKq5sOArwefz7dqm3GxB4D2UIVJ/mRz0H5mVfC2I2BLOpx/GYvcj4FhtHQ+JKuFwmYiiKBcX/bArinImGbieHKwfh6NnJJsB9sq642d/PuXFn+tiVzJ2/tUdbn6nw7f/eEyZx4EyzNNuQyUkLUNryfLqaxl/8b9fwv38VzEvvQkSkB98F66sYZauzKcGQwW+RP7oj5n+9nf49NspLhVcGgiVYe92ivcwmniSxNBM3oQwH7AWpVBVQu3JSJYahiPPzk5FmTdpufHFanpys1030oUWnNXjv++iqAD3n5FUTo8bSU+ae6yhmY096yUnfRODUYjp6ZgYbObjQKjizPlBz5EmcDZHHO9jl4DUQZGxMcCete4MMN0NR77nu9k1SdqG5TUXZ8dLYXjP86vjubAw+9zVx9CYxTbPt4P+AQe7qbg0ip9xgZh6/051hLggC/tt4nEsHoNLorhgnSFJTAz4DTPTQoA0i2+WT8OsY4IItDqxrKAqhWISqPL5exs3b+PYXXOkdVmZsTAeBopxwJfx96b1Y6gg61paHYO1hrKMbXZh7m1g68C/bIRZid0cbO0j4n2dseDmGQRpaggCiTNMJ4EkNYTaI6F5ZpV53X0nLPgu1Jk+TQaE1P43jbhhAJOAL5rzKfsyPRa/p2wSvXqMjcuf13KARSEaOFY5xGL2TvMdpv4sivL8oB90RVHOHIspmNd9HHg3g2WIA3MD+55gSdvwsz/X5bWfiIaKyZur+I/3+LN/mfFn358ynUT/gmYGrBgHkrahvWRZv5ryF38p0P6lr8BLL2De+kmCc5iPv41pLUNnjdBdJUggmewh/+HfMvk//5CP/mMb64TWcsytdU4Y7yRsb1ELCrVzeIizgWliqDwUZaAohVYWD6CdWQS4dbdkMg6MRwFDHACXk3AiRo0zh/SFdzluuvlBDqU7q1+C8oQMbE/aq3Y2s14VUWBDBB8/0jEgF+oA0MyC1KajSvDy2J+Vge1J0jYkrZhWv7IWb/B2Kwa9uzue0Zbf510xcD3JupaVy44sM5SVUNQz/Ht3qlnKvU3ivlpncGkMqoMXymk8nibDoKER6ga2J1hIMjPLoIi6ZpNtNfcIgCheujSWWjUz+mnd+QCg3Y6iQRNEz7qKBKEoBGshTWMU7SxM69n/LI2+MCHAZBLIx4EmeLSuEXjidpeXLM4ZKi90O47JNJBPA6OhjyUMZl76VRVCe8nS6Vh8AO9jNkHjT5CkURyoSsE5apGgPiaJmWDBz8vJul2H9/EZ32lbhiNPkc8VqSyLIsZ0Gijz2jTXy6y8IkkNzkUhosjj/mVtw2Q3zASbeG7j/hULmWXNc3rWCrbxmPDxPM/EpCNm/fumJ2k3HtOvjt83g6QnZ2WWvxG9HlWsG9iePGn2kKIo54/k4YsoiqI8G/bV3C5ExM2s4mKNcCjh1ieBV4YltpMw/OY23/2DFh98OMEY6gFrHNAaA2nX4msDRWsN+ZanDZj1t+I2v/PvYJojVzx8+w8xyx2cAJ/5PCQJ6ZsrtP5syvBuQmvZk7UC+cRRjC1LXUEkDmAn9eAzSQw+xEF8VcX/2i3LUsdinTAeC1lqKRNhecXS7liGe55JCuVEGJQ9eZLMheBjsEA9+xY8+7wmHplmEvEY6bHK+eO0nd2vh03D9lxgaNLOTW2aKhI/U8BsJn5fSjyCxRAQ+tKTR70nm+eIMXHmvdO2vPZaQnfNMx1aPvrQstuxvP5qhjGGf3Hnr8vuThXr9mE2S19aYTKMb+TSOGubtObPrLRlZyaCNjH8nd1vmAELpR4yFxWa7gXdVcfSsmN5yWIwfPJpQVUKrY7FWWqjWYmlDkksdXB1VkJz7rIsBvxJHRSXZZiVaIUQn0/WxedTWgfwiNDuWJyN3ROyxMzfl5hZ4BJDVQmd9vz9V1di1oJLhO1t6LQs3a5lNA6URW2gm8Qgf20todUyWGNIE8PuyOOsoSgDiTO0MkNeCHmdzdBu2/pZGjMOgoXLl5N6fwydlmU49jhnWFtNKEuphV1DVYWY5WANnSXDm6+3KEqJgkYQtrcrrDU4Z2m3hcoL03Fg6ZLDWGh3LN2OxXtIEvAetrcrqkpIMst0N+6jqe/NUMV7oykxaUSpG+GavFO+bwa2J9fDprEO2nXGzj9e+pqM7nn69tHv4afBhmyax/meUKFZUZ5PVFhQFOXMcTCAntUNP4D2quULP1GRfnYNYw23fq/kT/6/Ee1leziNGkCE5cuOn/35hPWfSkk+/xKIIP/m/yHcHVJ9PCR5fQXT+QCzfnm2Wvjdf0P1vS12fn9EPsqwiTDZSajagWJiSVpxFtL7wxutKmE48gyHceCb54Fpt57trAWPlRVHVcWB7uLxw36jtAeVhhzFhmyaftkT4xf+aHgscWFDNg3+dGvwH5WBi4HxkwxwGxf+85rKfF4pxoJNYotAl9YCw8LrTRu/o3Cpob1i+fXJNSlGtUfDogfDfT4vM5d/Y8iyGEAuX6m49GpJNYH2SsrurTZ5Hvatd2k9wVrIUstoVDHc8vtq8Y0z+DKWABzIKqfKhb6JJV+LXRTiivP9PcjqmsNXwvJyfFY4ZxiNAn6h/WQIRzx/yjjD72pxodu1GGPIixC9CHxM9y/L+TKz82Mgz8PsudaID62WxdmY8bC6aveVBwCsrliq0pCXBu9j9kNVZ54kiSHLDM4a2i07M7oFaGUWBJaXHJ2WZTwNiESBoJ0ZWl3Y3Y7Bf14cuCarCUli6K4E0k7AOpgOHaFyVIXFpcJkdPi8XrmckhcBa8Ha6M/QaVusNaTpXJTxQY58vncvO3wps2yMmR1DAgSgzpZbZGB7snTFRZHMRtGjaAeCh0HxZGKyoijKaaPCgqIoZ54N2TSUdWBt4mwXMAuMs67hZ38uA6p966Vtw3DLz2bxrItpxS41vPFGix/7mZyV//INym99emibYScnvztB8oBd/jSmZO+VjLZThlsp02Gb4ciztrZ/3OdLkBANGrd3PXdulzF1O05YxfRnA8ur+63Tt3eraETWtmSpoZU52i3LdlIxzQL5WGYZFhT79/VG0pPHrWOdCRQ8eubBWQy2jxI7HlcAmXUqSAw3pCfn0YDtUTlY5jKQ0w1urodNQwEU8b4+WLEpQRbq3Js/gssgq9sL3k90gHhN+yaKTi6dKxamKTlIj1pJyNqB9bdyuisVbi3l7a2K0b2UMjdUuWUytNzbrg6st2A+WAeWZRG9Xorx3PPlYMvI5piyFcva5YRXXkpZWYOlKxW+NFSFY7ztKEphd7h/m62WqY8/ZgR02paqFhxEhMRFQaA4Qni4fDkhBKGsO9hkrah2eB//lqQG/KHVKCuh1Yrvu7rs6K4I1sZLV0wMrW6gm8DO7v71VpbjM66zBO1lT/CG9G7CpM5OyFJDp2NJssB4un/drB1480erOtPEUE5j5hcmdvQxjrgPB4/x1YLxTsKlpYAvLcFDOXGUlTCtRaMmQ+MgzjE7t8GDMcLKiptdv8k0UEyFqtx/kowBmjI0EcTAP+j+glgHvoqCjwtgWwfEHHf0+VYURTmrXPhBkqIoF4eZ4/ZC8CBBSDuWH/lCm7/4v/845ks/jdz7gE//h9/kX/yTAiTW0NoUWl2LL4WXXs348k8H1n/pJcyPfwHzwitQTAjf/A9Uf3Kb6qMRoRB81QgSQnopYfv7hmJi2bvj2N7zFIXMBr9LXYtNYo339nZgOPLc/rSkGAmdS5Z8GGJNb1mnHtf+DkkSZ6mqMg7Eu13LC1dSVlYMd+76ulY4MBp5ptNYb5ykcQZNBIa7nnIsj9TSrDGEs0ldm167th+c3X+cgLxJ4RaezNTxYBu7R+G9dt1n3sT651+bPryzxsFjHdjoSdEgXp6b9N5BEs/9WajznnVDWHDobzwCmtr4hrRTexFI/IyVk1C3vos+DTILsGPQFkst5mUKEmI3iHbH0moZXrqasXJZsE7Ih5buJc8Lr0/BGqrcxCC/tOQjh3gYbSfcvlsyHgd27lWzWegkNdGQVYSqiiUE+TBQ5XUpVhLLJlxqordEIaQdw/rLKZ95M+PSKwV7d1LW35rGdSeWfOwoRo7gYTI0TIs4cy8Syxy6HUenHYWWnT3P6rJDBPIikKWGLLWk7fi8khBFV1/FrILxxDMcB/I8sNSNJQ7jcQy6izJgMEhtnugSuHIp5YV1S9YJXHo5B2DrwzZLV0p8aakKg0ulLkmLz9BqakhaQnvZY5P6tdJw9+OENDUUxbxcbPmFarav4x0HYli9WtC9VCE+Pgd3b2dcejnHplBNDdORI/hYjtHqerL1hGq7ZLKXMN6O6SPlxOLL2qixiqUVo4mn3aqzJVYMNpHaw8NQFrFEo6pipkRRCFkWr61zUFRRkPn/2XuTHkmSLE3seyKiqy2+xJpbVVd2dfXG4XCGB6LBAwmPHoAnAnObU1dnnnjglT+HEZHNJkAMSMwP4FSAxAxIzIBsNrvJQlfXDGvJJTIW32zTRZbHwxNRM/dYMiMisyKiUj8g08PdTM1U1VTF5D35Fhs9MLSW8+Ss+IUIu0SuvXYdUE0VbB8fT/IYnYyFMXzJXU6eGDFixIg3FeNANWLEiDcaTxR8kZ6eEDzj2vcy/JP/qkTxX//ZYIvP//pf4n/7b36JX/+yQ/BSMNy4meHD3ye886c1zD/6AegP/qGkPzRnwE9/BgCwf/Up/HmH5ssglNmlgckDnFXoNwrtSuP0RLwTikKJT8JU9kVnEmN2fgY8PrE4P/Fozv2gKQYwZM9nJSEvLw7BzjKqqcaVQ4Mrhxo6Y4AJy3PG6bnDJhqEFQUNVOUQgLMTh3YVRNP7FKfyy+cTkMYGAYOJm7db47vdczwY5j3nNYfP5lIx/jISgl2jzmRK9yIr5nf0EWfVRd2MbZ6MChyeb45YXOblHDzrWuPwdmbRv+l4WXO4NC7sMm7ymmAKheAlPnD3WkyRiuyjTCA2EXS8lxjy+OxAo64U9mZC6DSGkGfCQPKBMZsTZtes+Lo4gusVskhdb5Ya7Ure8zzKncBiGsgM9L2MG9YylgsvmvzY3Mh2Vqtdz3Ad4+CdDD/6YYFr3+9QzjxIE7qlsCzapYbtpTBul0IxWa5krGnagKpUODhUMEUAWIpn0nIvZwUPDVMgFs2dQjXz8FYKf9vJvjtHaDtplBotUZS7xfN8pjGtNfZvWkwPLYprBmQUwrJH6Bi2U/COUO3J0nu/lntzszBQmsGBMD3s4ToFZxU25wbdRqFZS4Njf26wd1PcO/uNGn6agjE5cKhmDlkdmR+FAXcevmcsHuawXWx2fF/eWxUaftFj8TBDs9BolxrKMEzB8JbQNXIdZoZgckZe7wymDNiO0DVKIoSjN0OIkZNEQNsFbDZB/CriEEQkzYU+JZvEsdR7HpggfbON9dx9XMcmOpSkV3xXx583WXI3YsSIixilECNGjHgjsRvBdhuxiLjUVADLStfi2OPT/yXgd2/9H6A//k/AD3+Os3/+c6zWCtduZpjPNN75HuPaH8vMzvyjH4B++PuAyWQmeXIMblrYv30gBcjSgtnApdWsTnS55czHaEkNIgWTM0wudFyTB7QrjdXS4HzR4+zYSeEQydze8eAmzl5Wp0KgIYLSO1nZrCuFulTRsVwmuHVNaDtxzN+sY4xlXK3t+iBFCYkpXHLNB4C7zS1mLzuQJqWkknO5THjBseC6VNilc6/NtsBnxjOpubfpiPkScV1pXFanfCU+5nt0l24J4VhJxZlMzr7O9h/5e/RJf4tT5r23z29MENGwAm5ywu1+O4nlaGD3svGFI56PC/dzYNzB15ddpM/jwnWxAu5sYkQeASayGkAx6jUW8Sy19pC0oEz8W5QqdIpxDo/pRKFvGOuG0TQBWhP6XuHkWAr5gwMFnTOUIdhW7tXJvtzL9Z5UlsVEqPnexQoR0qCk94DHpxaPHrkhZhGIRpQBmB5qvHMjx5UPehQTF5skDNtpdBsNbRjBxTSDPOD8TBoKzolR42yiobOArJAxz1tZfTd5QFl7OCv7VNQe3irs3ehhCsb6xCCrAvp1fBxA3ilUhdxQSgO+VrCOUdWEahawd71BcVVBX5sCgcGeoWsDHRh0fy2MiKnkZRpnsXycD6yzek+aBu4/7IMAACAASURBVLZXwiSAMJ2MFp+F1cZDHxsUE2nCbM7EV2KSITZDgOZcw+QBaDzyAw3lLEwRYHuROnQnjPKGBrsA3wOuU+BAKGdBtgPgYtPEtioeJ0MZRvDSgHWxicTRxIJ564NjLcNGWUtqIgEpBlMkInlGCIm94HnrwSH6CJhyG28aPKBcejz+7Ts6+iR/lCRfGsfhESPebIw36IgRI944XMhmjxjoy/H3EKRQzyeE9z4o8I//sxb1P/1jYFIBANp/8df4d/+6QF4A+zd77P1QIf8ProF++AHoxjtAVoLPH4H/5mewPztG+6tG3icA2jDatYbrFPpGJvGmEAYDB6CoPbIZQV8pQaWBuy9OYO1jxun9Ap9/5vHwgRUWQUxfGIrzIIZuJt8WNomerTUhKwjTqcb1qxnKGnCdOKWv1x5NI4XDZKqh4yRUKXFl915WzjJDw4qZ98B647E89ejXYeuyj2gmRwT2DG95yBpPMokEUhi04Glfn1X83VZx9T8+8WV8H3aLzd2JNvD1GBCXo0mft91tdcQm32W/AH9uv1o2MeLNRZJOABgiESVFgiRacIehYwpCOVXyWBDDvXqmoWJcISD3EENo72BpUOS5wvWrGbQiFLU0nnxPKGd+SK6oZg4ml+IUiKkshmEyRrav4ZcOj35V4t//3OPsVJqTIfYXXCvxhleuZfjwhwY3ftCgbxX6VmP5yICZQCSr/c1G/FkAMVdsmgClCXtzjasHGfI6xAQN8T3IyoBy5mE7BdfJMZo8ICsD8tKDA6FrNNqVeAcIc0GK4+AoMj8IOpOdNQVj71qPbAKoaQbKFNzDBqo26M/icyqGXSuQYngr77k6NcgreVxpxmZh0C4V2kbMEbWSRIg+mtrmBbBeybk8OXeYTTSuXCVkpTxuioAyxv52a40+yhzyOqCcyvmp5w7t2qBZaHTrGCcaWRqpGeA6YXm42JTIS3mg24gJMHug7wDrpdm0aaTh4Z2kTyQmWfq5bSAAPgC2D0NMpnOIxyZPsjEOGRDWisRUItLcREbn3XeHuXDHHDHRthk/NnhHjHjzMTIWRowY8UYhmcclw8W0mizFOQaqqIr57SZTaJqAh7+ocP1f/L/IPpih/9UK939e4+r7Fof/wCD70U3QvAZuXAEA8OOHwOkC/qefY/l/nqHbaDAbBEfDgr+z2wm1QtQfO9HsciCoWQY1yUDTHLp1aH7RYPG4wP3PA07PPPqWL+5/LOJTdrq3kjaQDN6IkiYXCMxYbzzWGznWxKDtWolLY/YoCsJkopEZiVgzhkQPbRgUTct0xugbg74FHhxbPP7SYvCoCAzbMmzHF/S7H/M9uu2OeJBuXHJ5v/z7Lj4O9+g2x6bQS04CP/L36A52JQgvtv3HfI/gtqaUz2M6fBzu0R27baQ81URvxFuLJA0iAjhLaQnyd1IEZQh9y8jy2MRioFl5VBONtguDNj4ElmSAXJp2daWwWgtNX2RODNuKJEHnjHrfRTZTgLOELGdUVwDzrmim9NUa4aTBzekKSmf4938PnJ95iUVUBCKF+Z7GB+9nuPl7G5BRWH8pjAFvCcsVgzl5KogXQQhx5dwyMkjTUGc8yB1sJ83MKpdVeJMFBEdoFtI4dTuNhnatt1G/FJsrAVBGInttkP0gBWgtRXi7Ugj3xSugb6W5W9QpfpERrBTszJD3zBh9o6AU0LcK3UrhfCmNAa2AIiOYUjwyvCM8fuzgg3gYFIV4R0jzQGJI8yqe/3jMfSM+Cd1aARDZhW23DYduLR4TfZPiOJKUjcAZwfcE1xOIgnhAKAY7QggEFwJ6K+dfa6BtQ2SQUUzOkPPmrMgZJEGDYXuGdwxnt9fnZF/DRI+PoUlsd67b6BHEfhtdedd8N4xkd9l3pOUcvFJE8ogRI751jI2FESNGvDG4rY5YKVlpJCVzCm1oKAaUEVOrlGM/2Tc4PDQ42DPIKofF4xz8qAOQSRTaxEO/uw9696pUFJ8/RFhsYP/+BGc/Czj9PIcPFbQCsnJbwXovxbdSDO9piA4LQejOzECxcfDUgb9c4/yXBMCgXWo4b+HdxdkP87ZAHuQCYp8gEyUPBAaCD0K9JSkSprFx0HYB65UX08dMCpw8V+LUHrPe65qg84ByEpBVHlrLG3mr0K0VTJZjPtVYrWXyTgT0PWO98rh7couD3zYYPg736I47isLlSwV32udnIEVRvgpEiywNnF3QV7z3Lr6udCKtXj/LvDId+7ha9uYjpcYMiI29j2IDafBcYGnuuU5YQ94xXC+FoMkJm5W/dM0TvGeJLWwZPoi3QLoeT48Baz2cY1y/rrE+MWgzYQckP4B99CCzQf5HV0HzUqQZv1pgdaLRdQ67LJuylrjLau5hrlbQ701x450Gy582MHlA3apYICsER1isfDwsHZsM0gAIXgwSRTLBKOqAvPJbqn4WML0i6QjJC8H1BNsohIDh/suqgGClUdFsFNYbL3GQAFyXYXVihqJ8sxaWFAPYmxlkGZBV0kjVRpIbiAD2BDIylmZlAIixrxTWa2Gi1fsBCAQqGH0v8ZZsgbrWIAgzC5CGr3UMawnTA5E2eEcwmTRblBKGRXAEZ8Vws1kDXe/Ba2BSKZgsNnc7gJQ0XtZroIr77eOxg2XMNJoQDHC4b7BcB3TRaDIOW+DAaNZykpURE2CKrAbbMEiLRKecKmRZOg65/pjlOtMshr5EEHlJavRogu+3g+BtFT1Kwm/X+LQ79ibZzG/NwY0Y8VuM8T4dMWLEG4E7+ojTCkWKgUtu7WkFJ3ih8Cejs3qm8d67OaoYi6YzRt8CTRfw/g89rv1JDfNH7wBGw/3dF9j89RkA4PGnJRYnhEcnFhwkD95oWYnsOjHksk4mkGWuZKVsJ7+eiLA/12KoRsBmofHo2GKx8NisPGwrLvSJGbCLwcBrZ9Kkoy6Xgxx7OVXII0V/b09HloKYg3WtrPrVtcJsJs7vdUXIazlH9b6DjvTrrNhOtLuNlon/wgyT1H6jsFh5PHxksToXuQTwpNQhFWy/KWfyXSmMiiyO33Qqw2U5DvPozP42IBVaCbvX8q4J3CCZwVYywUEKzNQ8U7GJBxITRwZgjPwbkGtzWmv0TrxUnGdUpUKRS2SsdWLad/XQYP+dHrMrkpOZfX8GyjTsLxf4/Kclfv1rh/MzPyQGXDk0+OBD4J3/Ygr94Q3wco3wSORW/d+fgFsxcmyXCq5XWJ9JU5No6w1Qzf1QXCMeUl55ZFVAdkX8Dtgx+hMnzIWVxubMwMYVfNKMVtRhqCYiAQAImyjHKiNrABybnWWQlAUPbFppdFjHqEuFshQZhDZSNOd1gLfbc85B4hvbaOxIBOSVJEaAxENhvZZmAseuyGRPDsw20oyo6yhByOXYCeLBwJFd4eJ/bRvQ9mKCawwwm+hhXzOjBjlD1wf42JjQilCWwOl5gFZAnkmEp/eyL84zVmuPrmN0TZCmlZVmuM5ooPEHF+Vv8YrUBsgKBa1jiknH6BtJD1KG4DreMvXiNiGaZqax8K6RpCRA3i8xGe7oaGr6Fjcc0kJDagjKtfLdkYKMGPE2Yrw5R4wY8Ubgrkkr5ASdJ1MrDAaDgBjxKS2xctM9jcMDg72pZK9v2hBduuW5N25ovP8f98j/4XVQptD91QN88VcGi1Og6xlNG8AAFGHIegcw+BWkVb08E+pEE6Me2zagKAnTiawONm3AeiETae9kcuc63k4GeetdMDQTIJOlVNikFaeU0KBzQlZK7N1kolBX4qmw3sgxMoBpnBDPanmMVFwJZILSstJWzj2qmRcabxDn99R0KKduKEQWj3J8+anCZ593WDx0eN00212d/ID4eXybzYWUmAFs0zEu7MJbPEn/ruHrOsknyQwgl5hS2C6RQgpBU4i2Jy/VYMLKgWFySQiwltG3ASYjFNGbwRgpIJtNQJYR3ns3x+ENRjmJPgAbhW6l8elnFo++tCBNKGJKzPVrGd7/AXDtDwPK//xDoCrBj05g//4YvHZQ00yMCB+3aJeEdink0+AxSDC04SH+1sV0BFMD2e/uCxuocWArxXk46xA6j/Wp+A/4XgGKkeUM2xGygrE+02BPMEVAVm7HZBclEeXED7KL1MQkLbKE4IUx4B0Nz1GRUZUV8h7JjNL1wrLgIM9tlyqm6GwlXkRyrNXcw7YibWiWWsY6DeSlNC5sR+BAWJ7FRpDa+lFMao2qUPCeYQzJ9wEDbR9gNGG98VBKms2ANDWaLmC1FvlDXeroY8NYrjy6nhGcyB1CYHTr7b6CpDETvPh6KE0XG1h66yMzMNsiS2Ebqyzb745Bd/RFPxxvtz4+qdkA/Oabst8knhb7C3y73wMjRox4eYxSiBEjRrw5GFZlpFDWGQEcNb6ekdUKJiNUE1mJCkFSEYpcYToRmr/tJGptcuCg9gqExxus/+YcX/ysxuMTEbf6OIkrIjNitRZ6sPPi2h3iyqVS8h69DbB90ioH9C0G7XXSYfuehwlkmgwmKvaduPqdWAmpoZH8FRD/hjiRDJ5hW8C2HtaKvntvprE/13Be9pMQV9Niw8HF6LOu42FVTx8T8lxjPtEop2IkSQqo94RpUcwCXAu4nuCcrLRNr2jcfnTEr3N1fqC9xj1QmoZJ+G377UWPJa8LALjtLzUVRinEW4Wv+1k9UaCELQ07FX8hSCHdbuRGTfdXs3TyuzwN/ZrRlwyTCfXdOUawjDBVODl1WK3lpp9PDYwmdFZW/10vuvr2nLF/02Baa9R7HcyNKcKjBfyXX8A9SIYrDO48qDKAknFExaLcFIy8kFX+dA+FIDT+zdKgDA7q/go0zREWnSRmZAo0zcAbB6WEJdAsCUUlRpQ645geEWI6DpBXUVIRRKZW1H5oZHRrjRAlFNrIydE5o12Jv0FwYnKZPBBsI82K4GnwO7CtvG+3UUOih9LCeNAZw/WEcir7A4gcopgEhECoZw59o8BMCF5SffKMsNp48c1wIjGrS4ViEtA3MrBIwg5HVoQ0hqxlrNYBk1qJ5KELaDYeea6QZzwk5EijSRrVWSGxlTpj+D5eGLEpkPpVu02D4BDZefI6ykiTwfWIppRbhkO/vmhCe5n9pjTBWx4a1hee95bio3CP5PszHSTw0XfBX2LEiLcUY2NhxIgRrx0DWyFOkiS+UeYOYrLG8EEopbqSxIM6rjhlGaGaywrVXOnBzb1ZEE7/pkc132Bzng2NCOeE6ppnYqq13kj2uIu+CC4mJGgj7921fjDiclGLrzOC7cWky/XbDHLSgMqEQs1OJpO7Ym0C4yO+R3ezW6wMLhhTKcVCNw7SnPBhSM2TFToGjCL0vRQOUjQAp+cOpAhNE9DbgM06wMf4SJMRtAYeK2E/aEUoCwK+JBwelti7bpHXAaZgzCYa1UTj+Av72g2yPuZ7dBtRGgOAU8GfZDL9N/+ed8wR785WlQb+3N2jYUX7Gz4nu1T8180QGXERH7N87syAaxmmRGwobK/DFAtJhBgVSHBtiPG0PERY6oxgO8bZqRNpFwGrlYw3tg/YnAf4Xu5XnRPOH3l8UfTIywKkVqivr9A8Ypw/zKGUJDhIQg5DGwPbbwtyIsBmIjsQQ0OJkuw2CnkZgAnQP3bgRw7OKphcKuNsrqAKBd0x+lbBZBLVmBUyrhLJ65mcUc4ciipE5gGLmWGMYVSeUV1XIHLifdAJ26DbSMRm8EBee5G0aR7OafKV0YZhOwUFhu8lAUjicdPYLHKG5lyjnHtkhbAhsiIa5SqO8gfZZzFDJPggEhVm8cJgFjlGOfPIKsLioUHXh9hEkn2aTTTaTrwqAKAsCEbL981q5bFYuOH7JMtoKPK7Vgwa5XsipoEUBFNK0e9aRthpMgMy1lChxKPBb/+2K81RCqj2FP5ic4t99F4gRUN8avDb9J4kGUx4EW+abwKpMcf4huRjqZkXRqbCiBFvOsbGwogRI147dmUDoK0LNtQ2SaGcEeYHYtT4/u9KEP3ikRomuNMrbhsT2Yt5V98oLB9XOD9jrDcWmyglMBkhy7T4KEQfh3YT4FpZ7SFNMmljmcC5PrquN8lAkuENQWc0pDwoLQ0Phkz4ONIVdljVAFH0kpAJsRi2RYprMjyk4anwjrE8Frf4pgmoKpkc932QzPXoPeEco+8CbCcTbLsJQ6ylzsVtfHHs4HqIM/xcY9MErNcGmRHd9MNHHU7uWyA8ORF9EVp5Kr6+7gp/2ubycwe6r7rodRD8tzNDHibxO78DrzaRTfuezsmFBgJttcOf6Fv8426MuXwTMEiWdlaCvd02EZQBOK4yJ7aCUqLX1xOFvhWWgucUcYmhydCs5L487zyKqTwWdu57bxmzaxq/870Ch+91AAPnnyqsjg02C1l1n04M8gLD6j0pwMdoRKWFudCtZVzcKBkL8zrA9VqaFxmj32iYIkBpkUh090lMK88N2pVG8ISz04BJlUNpoJh62EaBNNAuNcAEk0t8bbPUg6yhnjssPwNWJzlcL6+dFWHY1xAI3UoP46HSjLySRq5zhPVSTmqeCvXYbABh8IpZn5gYgUuwUUYgK/8ElQEIwmjQGTC9aiUGtFNwPSEEJZ40M8bkwMH1cq6aLmBaSxIIAyhzQl4CmVFYbTyyjGA0QSuG8x5ZTvAOIJID6Tsein/x/2E4JriWkVV0wQj0o3CPEGRsGPw+/BH7nmGiFCb5KJhC4odTHLG3HBsG8jwOkfEAbBOG4nsxs8QJB5FBfN0x/FWxK10gCFvvVT0R0jkbMWLEm4+xsTBixIjXjrTaM0x8PAAbjakyglJSxJuYz444yyinHt4R8orBnhBI9LWu0zh9oGEtI8+jP8JOUkPfBSyCTL6sZTSrIBF0WooIxIJdRTO1C/vqAY4rW24dEOLqUYo9U1omnLTdzZ3j5K0UAlsWBhBp+FF7ezlisW8ZIXg0m4DFQzecs3S+PiluMXCBHAEgxuoRIYDx4z4WrhbAGrj94Ig/Vx2yqCFm3p6f9M9khKczwn+f/yknE0XSBLt5utHjQMNl4C8yWV0DsBNzGWMA8WzsaoeDY/y4+wnd0UesNH1rK28fx8lr8ln4RibhkW4ijZqLO67NxZe/rV6v/GTEtoF218j9xEGKXiQaO0UPk5RQyMJs0kaaBGkcc708PyhZtXYdEC7NttpFeMKH5W52i+ta4+zcQ2c55td7+P7iNd/1AdYRpjMCbCxiO8IXD3oUhcJ8quF9QNsx8pxQRuaX0hLPqCwkStFqFHUAFwF9q7A5N9CG0a0V2v7iALQ5Ez8BxYyghDVgO7nR+41GuwaqGcP1StJo0r5upLkQvDQiAIW+EXaWyBQIi2NCXogca/dAAwNZTNbQmXgu9Bs1jI++JyBDjITE4B3DsWFbTjzyIiCbe2wWGVxPA8PBtsKmUHr3nmTsH8o4bFsMjV+tCecLMdasSoU8U1AkMpZmEyVnJsYfM+BskISH2KTmwNB5bDBpaSynMXPXV4hZ5HSJiVDWBJPRcI2EIIbACcngMY35ysTvELWNafY9A4bwSbjFu0kS3wR2/WiA7Xg5pjeMGPHdxthYGDFixGtBmsRfnqA8DVlBuHkzx5V9g/2bPVJeo3YKqzMF2xjs37RP3fazL3poDRSlQq2Fxuo90Kzd4Lqt8yenQraRDsCwih2X4b1PJpIMlT19CtWveWvaxU9SQp91zMHyYLoVoiTiI/4JYefQds3mhu1i02Sg1hpZvQtup6HwDPRRN/7UqEWFwefiMiaHGmDgn+OfsLPC2EiSkTxSw9enT8+dnF7V0Whuu81fNn/KrktNCDz1PYlEZnLbvn1F+NCsiTTh4PmCwdqI14/nNpNiUwzMYEXRMFUeapYB5UQ9dTPb8tBQS88XllN8P376ePDggcfiPIMiYNMGdJ10Lc4XLJIKGMz2nr67ZalQ5MCjE4syl+J+ciB+EGdf5giOoPMnbzDbidyhYIUQC/W+ZxQFIa/Fc4GffkvD9VKIZ3lANQ9oV5FVYRh55dG3kmBxGdWUsTon9Nbj6s24jQa6RsF1hLwSpsJlmIJhioBmoZEV4u+gNcN52cY85fgGELB6bLBpAowhTKfAwbuir1IKWDzKovfCRXS9GPv6IF4M+Z5B1wUsF8Iqs/1WOnEZA+NAE+7SEYMIpoiMt2gI+jQ2FrM0t7p1iD4+FJsIcr6VuRg/eeHc7qmBPeYd8MnqFgf36qkKz/vO/pjv0R0fmVp4skn+Ku85etyMGPHmY7xJR4wY8VrwtMbC7u9J51zuKbz/vQLXrmoUE6Hf5rXMblfHGbwlrNZBJnZWUiF6G9A04jUwmeghc90HxipmvrdNQLsO8B0PjYWkmw6e8XGQ97/cWEgFwW2SmK9UJF6OtRseS6vzX0MakOK1RC9MCI6fu016nwT2YniZzCfT+w9FzAviNh2xzoUmbQpZQSPI6qc2hKpSUIrgHeP4kaRM7B1q5JlMaLUmiekLjCJXqGuJ8zw+s1BEmNYKn33Rw1nGjZsZlksvGmUvOmXX8rASvGtI5rrnn5c3BUP0YaR1f+TluiENST1hkdi8bU2S7wLuZreYA2+p5djq33VO0GbbLEosnIR0v6V0E6KLKTDBSxPxaRKgu+aIdZH8BQizQ9loUmsAIomyjlEUCrOpHsa93jIO9gzqSokhpGdMKtl2esWhmnvMf0dh/ZlHt9YgEnmCyQKYRQbhejE8tB2h7yRm0XnGdE8MHKu5h+vkOd7Gn16K8XrPI68l4tJZQruSlAaRQQhrodvESEwl762zgHZl0LdKDA5521gIQRgPk32PvJL/bKuHCEmb5A2OkFUBHCRZYnrFgoNE7Sa0aw1thFHRbTRsK5IMAOgtoyilsaDU1qehXWp0G4XFIiAEYSt4L+fZe2kgOA90nXwem3UAB0Yb5S6moMFTAwR0m4BgsY0fjg2CrKTByDH5+qTxIo2hfRvQNyzstrgde/H2KGv5gnJue62K4TGjrFU834TNOqBbBSgtbIpX9Sq4EMf7rMa0xkWJ39eUxz3tvXZ/fxvG/hEjvqsYb84RI0a8VuyuRCTpAyItFACyicKNdzO8eyNHXokTuLUcZQ4EAmHTepydO/Q9DxTzIbYLjNlUQynxJGjbgK4N2KxkBcj1yUU76kJJJn+pkBgK9EsF4EBjxbbA2G0u3M1u8VCUBP7WDPrumqOdGaVgtwj30XDyZVINbtMRa0PQBaGcxPPKMlGd72lMJxpFTigLya/v3VZyMptqZDH2La/kw8hrmXQ3C43lOVAW4syuDGN1oqC1xL51NuB84bE4FdlHu+Qti4Hkc/H27WguXMYg6UDShr+dx/Fdxm11xCan4VpM+nZgO+4M+vkdz4bdQux592OKOU0MnXoug5DtArJcqO4hxFQYQygKeeG8kHsRDOQ5ITOEwxuMves98jmDuwDbiSeC7RWyXHbWOymA8xmDaoOwtDh/kMG28ropcQIM2FahW6sh1pcDkOWMrJIYytmVHt4q9K1CVobBpLFZGijNKGLcZl4E6JmGXznYTm8THMqAbqOxeJTB5PJ6WSmGlX0jA5vJGF2joqxBInSruUP1jkY460FFjMtggAoNxFhN9gFuw1ge52JKGZu4zbmGKXiI5gVL46JvxHQSkBhP70jMfVmkCb1ldH3A8bFDswyDV46OjVhgmyzEgWFbRnDbRml6TvJn2JVHpc83MQ5cNH5MUjoCUExVlN4BeSHfi/KZMGwn/huTmUYWpRhtG7BZipdQ+p57mcbmhaZCwlOaC+laTokOLxN7+Sx2xDhmjhjxZuIZpK0RI0aM+M3gwgSBthMtUxJ0TpgfaBSF6GHbNeHhY4uHjy1Ozx0enzhsWo8QgCxTCEEmfEbLavp0KsUvEcE5xnIp8Y02unaTFjq+NmmSycOKUlqZ310F2p3k7FI8E9U5IRUGyXQLRLj9FAnDq+I2XWwqsH+ix7A9pYQX3oeP+R792P6E7CZgdRLQbmTCypDmAhEwnQP1gcPkwOPgGmP/QGE2kRXCes9jcuBgCjFLK2qPvAoo6oD5AVBMg2ioDWN+zWNy6HDzdzze/YDwox9l+OD7Ba5cyzC/ppHF62Ggk7+l08rhmoh4W4/jOw0W1ozvWYpJlqYiB7lndse0j/kepcItffbPuglv0xH/d5NbnNcKWbW93tt1wPrEo18zmmWIcixZHW9WEoHo4qr58bHFciW/Z0ZBZwGrU4PunECZQr4HZFcMikrGTQags4DqwxL5H16BmmTQBwW0BjiID0K6R4Mn2XcC1huPPjZ/i2kQ+UEWsFmYIUoyOGFeJDkEB4Jrk8MtI2wcOEh6RVE7ZIU0ELLSo5p7ia9s9JCCoTRDKYYyASaLMrZMmhV5GeBPLdTEgDIZ8/0miD/GNIPaL6APS5iJGsahrAwwecDsmmjNVidG2BwKKOqA2VWLg/d6HLzXY/+dHtXco5oytAKKQiEzhGmtUZZqSGEgE/0Q3GCfcKGpoLMo9aJtYxEs/gsUmwu7vj4h+XBA0iVIx+8lBfStsPJI0RCPnAxF5Wtn24TyXtIrygkhrwnFlFDMFExOw/fV10WS8Fy4JZ7yCnfU0QUzHdIv/j34tAbC2FQYMeLNxXhzjhgx4rUjSQ5MqXaoovKjmmns7WmYuDK3XsuElhQwn8oKVtsFrNfi6L2/J3/TWiQBeSZ03hAY63XA8tzDWcmNB54s7C7oVXciHVLxMOyzPtphJMSf8X8f8z161ZWahF06/dNeY1g9is2Nj4O8d8pP38XLsBZ29wOI8Xo5IZ8oHF4xuHqYoapE8wwSrXWwssKZVhoTlGaYnGEbhc1Cw+RSLJiMQZpR1Fs9te0UbFwt7NsY07fxOD13WC48fM/o1l/tIfGmYVdec/maGvHbg2dpwp9nDvqX0z8d7jHSMgQ6y4NsxsWY1USvTyyItPKddPwEYH7V4Mb1DPOpxvSKg8kDqrlDPhEqvLMK3sqFqLOA6qZG+SffA7cd+v/7Idxxj4e/e6uWkgAAIABJREFULOEtISvFIDKEeB8u4j4BCMwoCyUNxCym0nTSPCgmAeVU3nt1nKPv1CBRMBnHVAhpOHhHg09Cu9boGwVnFdhD/m5kPwGgqMW011sVJQQy9mRFkNje+HpysoDqUAYhvZcjtB7NAw+tGVnFsI08t2802pWGzhhZEVDUwl5oV9IxUDpKPJYam4XGpvHIDOHkzKFtA9omiMmuZxS1SMQSbC9yCt+LVI1jA1wpqc9NRjA5JKEonleJRUb8tyQE+YGRkJrgQDFRMLEZ4SIzI8TI0+AYphC5hFK0jUzeaZa3yzA0QV6EuZBkPgmpqXb5ebuMOmbGRy/B3Hsaa2FsLowY8WZivDFHjBjx2pG8BcTQCkP++8FVKVxBwHLlYW0QXWsTqfUFDaZX3sskfDbX2JtLlKRoYWXVpm0DTk+EWm9boYMy79BRkWLlEsf3YvxgioXbndAkmjMBWyo0ywQtPfaq+vk76ogHbhk/ewL33O3T5i/YWLijxMNhl7J/mySxIa8J0z2N2Uw8LOqYLhEC0LQeWhOqQijTzkkjKDcKJmOs14ymDchi4gcATKIeeHLgYHLeNmtY6NHeSwFwet/g4WOL1cpjvZAn9avwSk2TV8WLaoC/8Zz3Ea8Vu02E9NkCL36/fZLfYlPIgKK0GO5xiPT3OP4kgz9pLkjDgRRtxx8vxWS9p3FwaFCXcl8SgKrUmF918NG80TbCBDt8r0P1exOYDw/Aa4vm39zH6f1ykAEETwNrIMkElJYCXhmOTIPY6QCG7ZQBpocO5dSBmaJx5HZczaM3QmrIJplEPXfRC0FdiA8uJj42UIXar7U0MrMqoJzKtt1ao1uLUaTrCdXMo5h4zK72IAK6jYbrFLIqoNgH9JVKjnHZY/ErvtAUmVwNIE3ozwPatUa30RLv2yv4nrBcyPGeLZzIIyJjjEhkd94z2ibA9VLMBydxv6nZGnxMgtBAXirkJQ3sBWelmRKiHK9rQhwLt19KtpMECpPF1CQDtA2jX4dhOxM9clLqj7OAyaLHC0kDwm7CSzU4vypBJz2ePGU4vLxx5Dea1jNixIhvDeMNOmLEiNeO3dX/5Hb9/d8rAQBXDgyIAGsZx6cObSfF5HrlYYywEgCZZE1mGnnSG2c0eCMgbr88d+hbmXixpJ/BJOPGmAf+4/4nQ+b3rpb0WQX9wCjYwYsW/89CMsDavvCLr3BfNsf8utvtRj4CQv3efY3kFaALwt5hpANrmTymlTithE2SVuEIwiRRCoMcxRhClokeHAAmlTAZqlmAKbaxouXUwVuCdwqLRxkefq7w4FEvVPCFmHe+6GrYi05WU5Nmt2AcNPS7eI1Njl3sRtuNeD14ETf7FBubxiTfM6C25pAf+chG2sWutGZb2yOvCVmlkBc0sL3KUg3jIrOY2QLA3tTg+octiIBy6tA3GovH0gTQBrDRJDE4oO+BotyytJQROUJwJA2AXCj/TQPsXQ2YX7Wo9gOac4XzBxmWp9vx2ZSxseAhbAgl970yInkgBXRr8Too6nBhxup6Go47NSh0xmhXCrZVOF8Ko6DICPNr0nQoatnp1BjZu96h+KNDgBn+wQbdA4v1WYZy4lHuBVCmEJrUjNZoVpKEo4z4LayOJcZy04hxY1lKFGXbBzw6FnlF8GIU3LVBUiEUoagpejsIy87k8jdS2yhTZ7dNiqEp4KSZDiRWQmJ/0AV/Btsx2mWQ77IoR1AaQwylqcSbIViGbV6eTXeBlfecpsHYFBgx4ruD8SYfMWLEG4Hd5oIuCO//ToH33teyKmUJjx97nC88wOLkDQCuD0Lv7KVIrecak5kezBedYygiMGTlqFvLdt5ynMzyMNlKTIOX3ffhl2dIFr4Kt1Us5Flor2lfLjMWfpOF4l+Ut7Zsh4ALsoNPsltSUJM4m6diSBuKaRAYPC+cY0mHYAx0XKUI+1cMTGycFLmC8+J/UZUK01pjuseo9x0mew7ZXIFKDfu4x+n9Ar/+/4DFQgqGpglwfUC7CPhzd2+YTH/VRPaT/BarTFaDn5c08TyzsicaC29IUwHYyldS0fG2yUZ+G3BHHfGLjAfpWksJIsCTLKndazGNWwM1PWrslRZ6/W58rTZRZhGLQZOJF818rnH9hpIITc3wVu5Vk6VVboKLaQyLlYdSwHyuoJSs7DOAdiGMI2EWyXZKESYHHofvSdNidZph+TiTGMk6wHXCQnJejHjrPT8cU1YEaVgEwPdiBhl8kodIE8N5icLU2U6vhaXpcLZw8EGam4cHBsXEx2OX5IfZFYv6+znULJfNbADbgOXPO2jNKG9oqMogbCzW9xntUiOvAxCksWA7hdVxJufWA10LVBOGt7Kfy7XHcu2xWQf0vTQVSBHKSl1oFGzOPNgD2URSd9L3ESkMySAhcGQ70IXjZEgMpcmFsZCkE31qLHRPv9+THOtVpVi/KYPiESNGvD0YB4ERI0a8EUgU4nyisH/N4P13ZMI3PwwgzXj4ucJi6dD1jL4LsJ0UrL4TmmleK9QThSyusvsgK0VpBahvGc0iXJI3MBBerhFweb8BDIZcX7dBcTla05Q7DIEYCbb7+q8aEfYiuKMkanLYn0uMhdt0xGIiFo0vY8RlNVcoIl3XX8plV0pMNPsmQGlCPVOoK408j3/f8c4ocoW9qyFuJ4VAdY1g3p+Brcfjf9vh7/8WA2PFuYBH9x04bCM3ATyT5vtJcYt1NFxjAHbz9MbCQOeNTZT078GEkbd/T6vFF86REQM773mUPYx4ZTyNRbWbIgE83SA0McESJZ8DI4vyJSKgmilMphpKSbTl/kxLbG1iN3jGpg3YNB5VpbEX/W2ykmHygHap0bTSZPCeoTWhyBSqubAWNgsNDoTlSfR1iAVzahLnGaGaM7SRxkYZoyo5AM4qNAs9sCSCE5aA1oS2CzCGkBtCUYlMou/lu2EyJRTTsL09Y1PA5OLtkBUB+aGGmmQIGwd3ZoVFtW9AhYaa5/AnLQCgf+TgrAIRw3UKpgjwVqQaq8cG+SQgKwJcp+As4YsvhOngPKPZiIzBWkZREhQRrBVPhvWphylo+HyGSNJI0GAWWaDERoqUIYuJJM1K4peLShoWyfSx7wK6htEuAn5sv51m4m66TUJwrx5jOWLEiLcb4wAwYsSINwJ39BFnJaGcKuSFwtUrGfZmEgN2fsa4/2Uv5oCWhxUfG53ZmYG8UsgKGuK9klu2d8JocB1ftGOPq3vB8zciXXgRyjMQfSXixCxEXfRuYfBnzetfXU7NAwBPXY26a6Rw1hkhr+Th2Z6G94i+F+J9kSbFHLPqAZFA1LVCnqQoAVitvKy2ErC3ZzCbaEzmjLwOqOcO8/+wBhUG7tMlPv+/Mjz4MsbIQZoRRhMeHlt0XUDfs8SKnoXB9CzFuqVVXFOQuLJD/DV2V/STDCUZ5z2R5JD+Hi4WcYNURB3x7JoGKUKz9LCNPOlNkSa86PU64s3C7ueXVqCVkTHERQPa1PADLjIggIuNMp2TpK4YQl7Iz7KQ+FcAMFro+G3H6LoAaxmHhwZXDgyqKcO2CmfnHk0boPW22VeVkpwwmcq47Hp5vaaTWNrUtKhKBa22zIOuFblFOYtpFI7QLKQh4SzQdCzjCQObxmOzCZjNZKCa1hplBYAhPgoTMWJUmtEsDbSJzQtPkozh4zHmASEQtGaYGlCTDFQZGYwCo/9sg3Zl0LcKJpdEiX4j7+kdoVtJeoXJxW+iWymEQOg6xnLtsVp72J5RVgp9lDB0bcBmIdEcOpfPThtpGhDtNDBT87QXE2JAGCne8sBM0RmhrqUx1FvGZikpIs9iKX0THkB3zVYKEfzL+yeMGDHitwfjIDBixIjXjjv6iPOJQlkrZDkhzwlXDoRmqhTQ9YzlysF7ob2neMeuEUdrpSQ3XKik20LRR9NA1wmVNMTf0yp78K+W2PDSxxtNEXeRmgsJtn3xFe6UBvEyztsvitskjAZtAJUR5vsa06mGVkJR3jQBtg9DYwFISR1b87mqUgMtu4/NACKgrBTmM43DfZm4l9Fv4fD7DtXRh+B1g/bf3Mdf/yRDCMDhnsH8hgV70WlvzsxgrPbgkcX5iRuaC8mVnZmhjUzOgwP+7Cm04V1H89REICVSnWSk6Xq+YNYpz5Xnvf/DAmWpYDThi/s9lo89/txebF5cLu6/rozjZfEmSzdGvBwSYyGr1dDAc/3WABXMYj4bm6nCXNh+5DImxrhCknFRZ7KCnhfi00Ak1H1nA7Qh7O8L3WcvFvSrTcBq7bFZeRSlGuJoTfRPyUz0eshj0ouVpARmed+6UvAesYERUJUaVY04fgszITU6nBPpRG/jOGMZvQ2YTzUODzSqPYmflNhIj7wWiUW7NOg2GjqT4j84QrPUIADTKxZEQF575Ica2ffmQBEpHgBgPfq/O8HigYHvCfWeQ157tEuDZmFgexJDSyYQ8QU/h2ahcXoScL70MHEM7HvGauEHVpdKjIXIRkmyCGcZJqMhYtTFiNPg5HNU8XOqpnpg6xEBthf5n20ZthFPodRMUile2V+U3b3wdbcr03tF5t+IESN+OzAOAiNGjHgj8JfTW2wKhbIilOVFinzbBbSRZquIoqGY5LanSdYQuRgnp2KyJROofs0XVlR2jQk5yITtq4qrb9oI75N8x7+Apekx6KHdV+/PLm6TsD0Qc8yBl2tMfN330hlBR7dxpYF6onDzRg7nGEUuWuu+D1g3sjLZxRVKYOtGrgioaikmipyw2UQjM00oCkJdacymotE2ecD8Wo/6v/xD4P0bwOcPsPgff4ZsAvz0X5VQBFx9L6Dec6ivymd/9qnB5kzj0089Nhsv5ziem6uHBl8+sLBdkKZTdN3fpfLuMkoAaUBxvKZ0zKEHhFb+4/4ndEcdMcXns2e882GOg32DPFPo+oDjU4fVwsf3k7g+nUkDzMZj15qi6/2r6ZUTXV5peoKePDYWfjvxF+Ut1tnW0DAxuQBIUwzbXoIYAqZ/AyqlBIDhWgZpke+k6zSraUgjcD1DaaCsJebQaELXSwqB7cWoVWnAeyDLpJlAKkodKhXZD+JBkEXjVkXyGufn0gDIckKRy/cAgFiMx32Nso5kzOtjEkORK/Q2YFpr1PsSFTk9cNBZQFYxfEfoNhqkGK6X122WGv1GoWuByZxhioC96z3qH01AVQZ1pQIVBlTm4EWD/v95hM19B0VAcVWBcg3uHPrTgOVxBm8JxSRGYk48ij1g84iwOM4GCQizMDaKjPDwsUXTBPQdx+MSxoKJzJOuDSgrJZK/+L1mWx6aRhzks9OGkMVYSYKcn3YT4D2j30hyhNLy2ZmckFcS0+m6gOC2DJeEF/3uGcePESNGJJjXvQMjRowYcdcccVbKythkomEiHbSPkV15prBphDJKWdyItp1R0rLK5lrRshIAU26lBTqDxKHFyDZJL5B/79LYn7qCvONx8E1Nom7TEf+4/8mgjU405T9/ST3sx3yP/gK3mIBhVfJ5TYUXdenefb7OCCoDgEjD3XEkn880suj0jqVMpH/4H/UAMGTT//zvhHECBvqeh1W2yUSMOqtSYb4HvPvHLcz7U5jfuwE63EP4xZfAlX3QO78LfPiPMX/3Opr/9l8hj4aXJo/Z80WG1adb6cP+XA9yi7KQKLmuD5hMFGxOwCyanW0CwIQ7zRETZCXQ9zw0pwJo25nYWaXzlkVvbKKGnQHkhNNjh7rWyAyjjKu01USBptJA6DsxHn3vgxwhMNbR5G3xyIMU4a454q9qLjzrekxNBQAgTUC49ITkC3GxnpBmF+GZpm8j3ly4jqMeP/7h0ue7JSjE5hdzbB5sn0wx8jdEGdnw2q3QcxItn7341Sgl1//+TTPE8SYpGiDMAq2l+aYKhdU6YFortJ0wKFov0Tz5jmnh7njc94zVyiPLxBC2qhSqQori9B4ib9re3+VMmgomZ/StAhoF7wLy0sM7AgcxjNQZo6gCbLst+ImA8t0cVGfyXVNlckBlASpyZH8YMKnPEU677bnl5IMQ5XmtGiQRzbH8fX7NgpBJGoViVE5hvRLWRdcBRRnZHJHd1NsAowlZTrA9x/QjBnYiPXe9gkgJs0E8hQgcAkwu7o+mVAib1OyQNIgUY8nx808svnQi7oQj/qqo1E/yW4PXxyd8i8cxY8SIEcDYWBgxYsRrxN3sFuc1oYq+CslN/DI2rZcc9lohz2UFGAD6bEfSEJ7c1nsgxNWY3ce9k6J4yIB/Di6Y9ingdnj15sLTtn+V17yjjth3DF3E8+FerAmSmieXJ5PPew2Ti256OtN472aO+TWLg3c3UJWB+d4cD//X9YXJb8IPfmBw8G6H9VkGDkC7kmaE0oxq5sHs4e2TG+qjPwHf/AMAwMYvUb//Byj/01/gyqcP8IufER7/DeH7369QzTyy6uK1UOQKZa4wu+IxPbRi1tgKXbtdaaxONH79eYfTR+7idlOZnO8dyFdlknF0nVQTzgrbITzlulWK8OkvOxSVNF6yjFBXolsvcgXrwmBcd+G8FoRyorA89oP5o9KXrnH+CtpxfERFZsUndIsTCyLFqD5ts8Sa+SS/xaMR29uJ4CVG8HJTKqXucIoTeAo4iCRry9QhMbh10kDYNZfdxeJYEhd0JmwejlW61sBmzUOzoawu3tddy8gz4OTMwjtIc48kerJrMaTJOMeYTvWFbZvW4/TUDQ2HohA/B/uIMNtTcB1jcuAuNCoAyNhC4guhtJjCZqWG70m8F447kCaow+qJ41R7NfJ/UCGcbcCrHiACFRqmcSh+tUDzyKNdmcFLIqFvFEzOMIWPTAMCs4J14gvDEInfZXQtX4iJ9IEHKYPvGCom79iGkVUX37NrArqVnE9S8tlUtRjrhsDYrAKyQpqnF0AE0HacGTFixIgXwdhYGDFixLeC5Botq1xSwHPUqT9tNd1ownwmEy1rhS7eRbMwFSmief5kwZkmtCEwdE5wrazc9WsGKR78GC4Lvy5r3RN74A6OtnNvfnK7Z2FgNhC+thnkNyWtSAXgXXeLdf78597Nbg2GjJ+wFJDDOdrBHXXEHH8CAFiOkSM9GhB6ctJY74Jqg3d//AHw7nVgUgHHp8DpEt2//RTucYNmqZ86aV2fGeRVgO0Uzj7PUK9WqBlQswXwd59Df/BT8M2rqIwG3v+DYTvnGKulx9/+jTQGmIEsY4A8vBPDtHeu5TD5k5P3w/dbFJMMzDmaTcBkT5pck1qaAEYTfGCcnfkL202SttxsI/JC1Cx7K3FvOgOCj9KJHWgNEClcu6KhNKOcBuQ1Y3VSwDYKn93vUVYKD37ZX9iuPtDolrJy/AkLu+Au3+KwkzhxWwnjYhf5hFBNNP6HzZ/yPzv5l/Qx36Pd85/M/0a8vfiY7xG65z8nsQoY0dgx/n1XZ3+bjrYZvDv4yN+ju11Mn1AyrtuhKBX5hHpyKEDwDGeBdu2xOHY4rdTgIxA8D6wGe6nJ1sVCO0VMbpRc9+uNeLc0TUDfiMSt+uDioPfllw5X9jO0qxzlNMDZgHYlqRLH94XBNDm42EQExA/h7MsCeBCgzQqTg1MU359AX58ApRFZRF1KhuUlZD86ANVLTBTB3m9AMdrT90DwZvgu8uHiea0qBesYh/v5wMTIjLAWZlORAS6XXhosO+coqwikCUUp47DtZdxxLD/lfeU78QmQeDhsVjzIL5KUMH1/fpWMLn2ny7+f98wRI0Z8lzA2FkaMGPGtIPkFpMKfvfwSvBTvKiPkNSErRKvrAw8RZG0XkOeEtg1oG4kTm++J1rQqFYzRaLsAV8qktWujOVnYTnI+5nsE//R9uzxpSlTQ3ckS4urQoEXGkyv6CUMkYZxvko7Mht/0ii8z2BOUkeO502/19EkikvLLk+u4HC8Puel3eLuarWin/k/nQdGwskmK8OCRFRrvWmNzlmE6I8Ax2DlQCMCvvwAfLwEAYeNw/jCHt4TNuUZwhONTJ1n0SgqOwOKurpVGPTH4we8Dv/ifNgiOAKyRFb/G3o0etvvfcfJZjn/3Sx9lDFIgBS8r9dmeFp2xYzTr6PVgc9z8gJBXHnkl9Oh2abA6MVisPN57Lx/qqapUyHI5R6Zg3HyXYBuF1YoRWNgLmyZA7RO6VuQd62XAbF/DWka7DsIwIEnAKAph29SlEq+QyLQpZwH1vgUA1HsetO9h8gznZwEfvJvDGKFtNxtgsfI4PXNwPcNGE7d+w6j3Ff6yu8W22dLZmUVnP7tmMJ2qQcWBk6dcN4ShkEx+H6Nu+u3BLgPlWZ/bbirEpZ4BiLbspI/5HuEpjKfbavseIciwkuJmxduG4Xp5rKgV6qmCsyz3pGNp9BLgbUC9r7A59fE7gqEqglIE62SVvcsIpAEEuZdJA9wEVJXC2Ylc/77fJrJ89u97kBK2jzbAfN9AKfFCsE4jX8tU1zmGtYzFyuP4FDjYy1BOAkzOCNH0cnUqyRFEwOyKNPbcpwtAEfSNCVTvAGboH90EblwFmKEencD/4iH01Ur8H+oMsPLlowPjsGqweqhFmgFA5wHVjKGNhrfSfDS5jF1EknxRTwl9S+LFouW7sCxV9GQIqKcaZaHAzPABWC58lEoAlgJcJ2OimHWKZE1MIGX8SqkcebXtMXIcO/kyi+EpCAFgJwa47L/6+SNGjPhuYJw4jBgx4lvBJ4WYEyoVJ4Y7RX9WivEfIKslSiEaVsXiBoy24RinJc7kZUmY1FrmSsmgzDO6PsD2jPXSw/WAbcIFJsCzaP67SJTzgXHgt8ZniX3wVZP3RDVOeBXzvZfBbTrirKZBbwxIYZkaAEBsBtC26RM8cGF1Mh700EyJZpADcYOkaZFMG8taIcsUikLoyIDEvV3/HYvZNQtVG3DrYTfA41+VuP95QNtLse8co2sZfRsvCpLXS6ZsNlJ9jYlFRy+eBEWlUJYKbRvQrGPcZIgZ7310SzdyjXkHoQznhP0rGjeu55jvCeUZAOp9Jw7qnUJwFGNLxUHdOzknWbldjrNNirxTcD2h3YgOPMQTlgqArg9Yr2V/81Ki+7JMtq0roSInk0utCFnBKOce0wOL4AmbcwNSQDV3UFpeWynGZmHgOoWzBxrLtcdy5eG8FG99x2jOZV/FjA/DPXZwJRMaNQOLM49/dvI/0x19xOl+vJBQwq9mHDniN4vLaSTPG+N2Z3ypkcjRI+B5TdDEPgNiPC/HcTvS9EEiv1CGUM7VYLqY3uPssQN7uad3mRGkRG6U9iHEFfk/a39Cu81anaXmxfb9ga2PyJB6EZ+vjMRnFpUa4jONIbSNJEswGEWhMJtozKLEwvaMpos+EmDszwz2blrsX+9AuQJVBmqaQe2XUAcl1NU5MJ3Im54tACL4T08ARdJ89eI2GU5buC9WWD9WkXnHgz9EszBwlgAm2F6iLlMKRgiE05MA60RKkph8LhbxZaEwm2q0bcByLePA6bGL8cryPUiKoHM5T8msWGv5vW/DMLArLd99fSNRzontcAFf4bkwYsSIEcDYWBgxYsS3hNRYACJjgVNyn7jhF5ESmyjkos2VlRSOhSUgBWNWyPJ6PRFzK2MIVanE3DEwNmuPZhOwOQ/D5DR5L5DeTkClubGdMKUIrido4EQX9OzM8joU/35ZwpAmwbtU4PAMyce3ibvmiHVBw356u7M6SdvjHX73PETLpcz74HjrKbHL2Bi2k89PZ+JEnhfJ/EyKWyLxJJjUwrUODJydC+14de7heh6c44O/OInVuVAkdosEYFsguy49T/7urZjVZXHlDpDrqijUhWi6LubGT2cah/sGewfSQCgmHlkRkFcepGXljSNV2fYKtlXQGUOpGCMHhncK7UrD5AF9o6GMXK95FRB8LL4C0EbH+bOlQ9cx8kwaY5khBBZ2zub/Z+9NeiRL0mux85nZHXyKKSszq6qrySLVTYECtJAgQMADJAGRhAT9iMfqyh8WkcUmoJU2WqsSWj0t3xNE8XWz2U12s2vIyiEmd7+TmX1afGb33vCIyDEyMrPazqIqI8L9zm5u37HznVN75MF/AQB2Pm2RTzyUYmSlgyoUSEtR45ctuJU2kWatUZ0ZrI/kgWta8Ws4Wzo8fdzBZASlxfhtMpVCL16Hk0cWphweeNfKijJtFGmpiHj/cSHhA7iyABwrDqJaKeJ5Y9WYVAAGf5reJBLRm0HGVqUJW7d1aEeSYr4O7Tt/W18e6apDnCUHv4BNpUQ0e930/IjkxObfDvU+m0KK6fF5RuKxXCiQEiJzUipMp0JuVEEhN5kq3NnLsH3HYXGrCxcNcB1hsrDIPpuDmWE+25LzX7aAUSCjQJMM3FhQIZ9N97SCP23hHq/RLQFSjPrMQGWMvBSVQbPWsK2MwdGfoTo1ODlmnJxaFIXqYzqZGVkgWxe7HidPCcenDmdnridahSTw/VgbI4HH9wtg6EzI1yzGHLOYQLJjuBDPHOUMLzJzTEhISABSK0RCQsJbgmu5bzGI/2YClGbMFqZf1WJmVJVHtfQwYYIZZd6SPxhaKiDxW60izOcKq8r1+ejTmYZSsjLV1jKhYgYotNHGVS/XDaYJfUQlRyIiOm+H34V/3vcP6YHZj6yItBjQPn85WtWNiobo5fCyHguX4VDvs86H1ArXvrwsPbYp8Ng5fLTwtEkyMKNfdeRYzIcCO74mrmaL03nMt5dJcJYLYeQsUIdJrbOM9XELDp4X8f73K40sz0BMWwCE+BHJtByj0oHUQNhfWIUspnKPKbQXZGGynYdYu7JQmE0U8pkU596TrP45We0rSmk3iA7uJmNow1ATDb1dyMrrqkP71KFda5hMEi7yqQNpRrPS0JkXAoTE+X2yZeGdFBxUavi1h3OE2Y7F+sSgXCi4TiGfegBiQtqslZjZ+XA+ioVQ0IGkmIXGckXQt8VEjiYG3DoYo1C2DrPHNVYLA+8I1akGM2Exz+FZPicmIzB7WeW0DtpQX3jkpRy/7Ri2CR+B8Ow/z7C2OSDEAAAgAElEQVTxuiNXE94MlxlxXjlWDEOf/Mgbf7sCX7qH9JUeSGJJ1GF4N3gqeDuoXH5Z3OuVMF0XjCDDfi8zg2XIWBxbmTbTLC4jPA7UPqtRvPDmM/ule0gH1T7bhnuysldEEFCdyuDHHihLhdVaUhjallGtPaq1l383BqtnE2Slh7Piy+AdYepXIAPwSkgHv7KgiYHeKWA+3wZ3HrzuQFsFzH/5CXhdgX79GPa3K3SNxnRbvpjMXg5kCvpJBdfJOGU7herUYL0E1lVop9BhnHWieIpYHothJZETVUMge9rQGqgN9XHK8X7roDazjRDLOqfesJNZ1BFdi17ZFo1p6QXPSUJCQgKQiIWEhIS3hPv8kA68mP1J8TqoBtoQ96c1oaplpZtZVAouRJHFotPWsoISe3m1kYlSMSGgUDAm9PwqWSFTSgFT9K0UkaBQCqBCPB7iZElp9CvU0hEwIhfiOaj9aHLe4zKzqk1DvNcFqTBhD9GFrn3ROwZ80X5NMQasN6wMBMHgkRD+HwpX9tybqQGDooP9IEHW2aD6yIohXtKF+td7aVvoKpbozzCR9Q4gDiSPIsBxz9tEJYkyQp6YnGCCfJlIJtMxhcEE8mg+lYm0dQxFolrRmdx7k4sCYbLVQKmeB4LrCM4qdK1IjkkxssLDZKIKIKOEVFpbcOfQHAGATMjbRi6MUqJM0JmQC+wIXUeiepg4qKmB/mQbaIORo2Ow9Sh3O7QnXVDFMJyV1UnPhHZNmO162JbgLaGrpaCYLByWzzLonEFLoKzPQIYAo2DuTGX7nQOIkQUzynLuoBSjqTQWtzSWT3NUtUfTMpZrh7MTh9MnFrZmzD/SvZpD2o88qpOLKpxNxEjNv8ukyLxs9TnhHWCDMHitSNyNYn6MAzo//kVVAjgQAjhPUvz79dd02OxzMVd9H773VxOkX9rLPR1efMyB6NXi2bNJLsTvHxnrwxgP4L6T3wPA6pnr25VAcj7eMUwhhohnS4dViGokBUxPFBbzDOttA5N5tL9VyHJGOdeYfxKI1R/WADMo0+CzFvjIgYoc+rMtTDIN829nAClQpqC2cnDnoXcLmEyDG4fmhw7ZRy3aqsSzY8A6Rl374C1EWK0ljrbMCcu1x9nSidlxUBkAovDyTm6aj2R6IAqkNZFAYzWCl8SJSDAojUHhFojhzXSNhISEhMuQJgYJCQlvHYdKJLvMQLml8JOf5pjPZLlrXXk8edJh+cwFRQH6SaPkqUu/PKnBlDC67BeFkozzoFxgyMSwswznxKehrXxfTPuRmaOt477QT7DGEXu9zBbR4HAAu7cTxXdA+5zPzm/W25cv4uIxxyIgurcDHMwz5XebLQ7KIKwYyu84kCvR6V1n4olhMrkH0WQTANpGYhcj2ZKXQt7I72RyG/0PogRb54Ryqs77QThGFgzGFnPdqxso9BcvZhr5xPfmk9LnLe8t55Jdrw0jnzgUe0pWDVsP1ym0tbQPmFyM2oqpDddWwVlCVohU27YK1ZmB6ygQFnIdTOGRh1VLAFifGDDLeU63HMq5RXankOt1awJedWDrAc/gTnqZ1UKWE9ky3KM1zh7r/rmsTowQa7UCkSgtyrmDyeV8AKCYOmS3CyD2uj+r0dWE+sxgvtcCBLRruW7VmcH6RMMGs7izlRRI67VDXXMg4ORenB7J525Tgn7Zs2XKQVru2uTF8L4gqhZepjDfNHB8WYl735IQEMeQTXXWodrn2FYTC1RRJFzf8zJWkL3Jdg/UPpdbwVDRDAlG3gkRHc1gs1LGq8VC46O9DJMZep8WQMao2W6H6baV7yhDyD7fhv5kDhQZeNmAco3uV0/gKwu1kF4uVWhpnag6+MZBbxVwTys8+/9E7VRMHWyrcPJEBaJQTGgB+crqusHEdSB7h9/ZVj6nCGMuICqzLA9tF8FkVsXx3A/fC1FRFkn4F40PCQkJCUAiFhISEm4QB2qfJ1sKdz/N8cldAxBwdOTxzTcN1kdi6hfNt/piP6gVlMG5ntm4spIXhKJUmE0lqlIHea5ShJMzi+WZQzdacYmTRT+S3ofaW/bnpQi/zw8pRlD24Lffa/rASAEHXN5z/CJEs8q+Zz70dPzCBtl0JB1oZH5G6FULUTbLHNoQDAKhMExMpSiVyWiMWPQM5HmIoeu4vw9CJlD/bxOIoEmpkIf7WdUezkkSw9ZCY74tUutmHYpoZihFmG274HUhngdgUSrwSImgM4Yihm1jqw3gPaGtFNgTlOZQAEivc9eImWNv4BgIElMytJZJuck8tu6IdKRZaiyPM9hGFAtEQmyUM2mFAAAyCtw6qJ0CsB4wShzjMwX3wxr2+zUo12jP5DyjmqdZaenBXmpUpxqTLYe89Fjc6pB/nEvftvVov6thW4UuKCq6RmG204GZYDLfnwtItukdoT7TqFZA3Xqs1h4u+Fq0rXgveMc4e+yufL6/yu+xKQZZu7eMruYb9xFJuBpXGcxeRjyMidOXbd06Nx6Gf11GsD7I7oUxCEHZEAwLr2nsPKB9icwN7MZVniC9cW/4+apn9av8HlNov5KxUJ7zbu377w1TiqfMbEtjZ8tgPtO9R9BkCpjSI8vl+2vrdoPiz0RdpO/M5DPTOthvlmDnQZmGWuTgxg5pEx/NgKZD/X9/CwBYPtYo5w46Z9ia8N1vJjg5ETPH5crBOSF0tSZsbxkUBWEdIjqPjizqtZfdVtyTQPlUFGH9d2HH5yIsbSMqP/ayABC/a9u1/J7o+a1SCQkJCakVIiEh4cZgCsJiV+P2XgYVVnwWM4WtHQNnO7SVuPgDGJQEvQR3MBbUhvoVGSmCZRK1vWVQ5GLwWDUeBEKeKzCLG7jtWPLALYMz6esHZIIVTQOVEtfwQ+zzWB58LsbyLUJkw+jNCF91f/f5IR1gnzmQNHFS2UuNOawqhsmzRMYNK1W6ILjQmiKRbiGGs+W+v1q8GahvgzAZQZEQAMYQPAMqGDQWpepjK8tSQREhzyRCLRIL85nG6dKhiM7lGaNcOJhcoa2kSM6COSKB4TsF0kBWyO/aSsE2CqRl1S2fyfOwPtESHaeB1ZmQEzt3HJwlOCuxk64zaGuFdq1C8kUwP1sRSDOygjFZ+GBspqBzxnTLoj4zQppoxvKZqBFy76AMozsL0XqnLfLSgSYa7mkNQEgHyhTUPMPkjgHXFmQU/MrCPO3gvVwsbRiTLQuTM5wj+FUH6jxUqaFzIXMmCwvbKhRTF+4z9wSLmgOuoV5pcevzFmorh33c4ORxDh9MKL2Xa3Ny5lAvPbqah8hRGopOZ6XdJRZqrrt5c9KEqxFVYcD5Vq1DNdzLQ5a2hvv8kEgNxKIH46po3jFEGj/8fFmRGYt5ecPw+khcHvKb+3Tc54d04PYZ9HxiKxrzEjY8JTbwRTsowv6uvMcesfVOBk8KqouOGbXxOIHFau3gwnWeTlTwPhBTxWY1QfnUopg4+H9sRenEQLlwKHcJyAB/Jl9eftkBVhIcaG8KtV1g+S+dqKAWGjTRUJXE4847jcfPOpSFGBdnRsbcSSknWRaqV5LlIRVHm6FFol0ziDyyQvV+FjojdLUoHLyVlqiv8nscyWV2DJ0FpWBG+Hv+G95MXkpISEiISANDQkLCjeGA9nlxW+Puxzl2tw0UAU+OOjz6roMNcmzm85NXsBT+cSIcDQcBACQ53MVEYWdHVpEmxcjcau1EQtp4eEbfWx7bJdp6iEmwrcwSffiVCw7i0XTwTQwZ3xWuWqkEokEiASH/PV5z1zJsLa0eUdY8TrtAXLQm6eWN90Wpoc0iroKVE4XpTMgEQHr6jSYUuZgtZoZkRa4hrCoPrYDZjDAJBovNOkj5n6k+FdNoQj7hUOQwslL2VZ9pOAuUCy+KBh/vK6FaB09Oz5jNCdt3O+RTB9cqLI/EADGaPMaizAb3+yxnUTnsOGS5hyk8ujpE1DWEtpL2g8WtrjeF1JphLUlLhWZkpUdTaRBJkZKVHvmuhpoGbj9cH7XI4U8buGcNfMtQwYxN7RQAEcgIwQDPoGkGChGWarsAOh/aLsTfwT1ao6tku5Ofz6A/nkN9sgv32x/gj2o0v1/1u14dG5w9zXD0FPjDH2pYi37l0jZScCgderNHxWtsXfrQPhc/VowVBX1M7kYLQ0yGORcxChnnXqZYfJm2CyEuw/4iTxzbnsIvNtsXDtVFn4Q3Qa9qGIEZL+UlQhT8YWjjuwjyGdBBPccQwqScKuS5gtZynjtbBltbQeFVetRLDaUZxczjo58KwahzoF0pMCDjyt0SvOrw7F/koNu1wt2/bqF3S3Dj8OxXjNWRwbOnkgCTZwTnRLEwm2i0dmiTOD1z0jbRiX9RV7P4EEFaIkwuZEK8JnHM807G/vv8kP5uco+jH8NwAeV/7con5UJCQsKlSANDQkLCjeFQ7/P8lsbWjkEeVqfrxmN5KjGEbcVw7SgxIJAKcRJ7oPb53OpTWHHRGWG2rTCdamwtNCalrNysKz9aQZeiFOH9zjOqWty/jZFJ2nLp4Cz37RK2Ydjmx9dbOp74K03iFD7Sr3XB+DIaScaUCvbyu17hwBJnlo0k8sCwsmkyQjkRBUmWSWqDc5IhX2SELB9MPVdrj7rxUAq4fVsm4t4DtlboLPeRjCZnmNxDmcF00juCc0B1olHOfWin4fD8UG+QyACKmUc5D74FM4e2UmiWWv5fA+va9/4ORU4oSyUmjVOPfBKN3DhsV8E76ouQcsthMrdwlrA6zlDMHOClFWOYvAuZUk4ddO5hFhrwgL4zBU0N/FkLPmvBlqW1IqxAUinqBjDA1kMtctDEIPvru4BWQGYA54GqAXuG/ecn6P71VO7xNEP2sx3o//ZnwN6OVE2//xb+D09At2ZAZ+GfrHDyH47xu3/I8MNjcbuv1j4kR3Bv4EaKwgrwsASc4infD/TEAouaYNzu0CP8LbYrAPJZ/kV3PWacl+4T531qxh41MQUHCH4AeHHx/7KIJAEgNfGXr+HFMN5GjNqNaroYf5vPFIqJ+MPYLrRtLTSyTNJophOF7bnGfNdjuu2QlTL+uE6F5BiRFCgNHH2T49kzj+lE4e5ftDAZo61FtdWsFU6fRUNZMXbUwUfHhKHi8dMOdSNjWNcyuobRNQOBThTMZYMiIZ+Ea2+FMIjtfjqjPjECkNe5UXrH31bJvDUhIeEi0sCQkJDw1jF2/P4qv8fZRFZNmIGu8r3nwdgHoM8nf84kM05iTUko5wqzuUa1lqi9+UyFAlZWkrQS0yptZAXadYTVSrwBwIDWwNnK4+iog3NAW3uRv1b+gzapO7diyWEFiofVKrC0P+hMVuKcRV9EKg1kE7l+SkkcmfcYHMedEBDaDMoFrWVCSwTkgeBRQclQBsmu0VKwFzlhUmg4z1itHZpOJsqziSSGnK0cOssoc1kF1BnDFLJtkwuBYBshDtjL81TMPEgxZju2L/zBwPpUwzZyIcqFx9btFqTEiLFeanQ1oWuArADYEea3LM6eGJg8SoYlhSEL5IJtVD/hBzG8JRQzDxCkVWKpxdPBcGjlcEJuMGGyZVFOHVSp0K2EKAEDambAjUd9KoaSZq5BE9MXMj7E28Ez9J2J9GrPMqhPFqDPPgZu7UrmnLPAeg3/H/8J9vcnUNsFzH/9U+And0HzPXC9BB4/AZZrYD4FZhNgvgX88AO6r/8Bf/y/LH7/Lx7LpUNdeTRL3+fa51PqTT3Zi7z6eX3uCe8WfWtCeIZiQf/A7HM0s73u+7Y55kTTWOCi8e2YWABk7Lk2YiG0h7zp9g5on6NfRFRlxevZe0lAxlb2DFvJmJGF76VIsN7ey7B9C5hsWRRTj9WRweqZASnGasU4OrWS8OAZi7nGYqYx3yLsfNxKS5gn1EuFeklwgSuI5IW1jHUtBq3WMQiErvOwFmhW0uIkJsjBxJi5N3QkEi8GP/Jb6KOGQ0eIKQnsEqmQkJDwfCSPhYSEhBvFF+3XhFGEYiQHxj4AYxOyzRiyB9m9PsPcWTFatBVj3Xm4jpGNWiEUiey+ajw6MBgK8wljvmdlcvUkAzugadD3pgJSGLsutEP4UW46Xk5O+77gUO2zCiv9ygDszidjAEDMgvfBEDF6KIz7k7UmjBaoRcmg5Pd5Qb2Row5xZlmu0NQeXSP9uRFVUJDkM0LTeoAVlqsOzsvEuOtEhVA3CkYDWTbcy7rxKKFwdORFckwqtLgwmsYhywgf7WZQWiGfDidZTB2qpe4l4JEkIALyqYdSHZRirJwB0fnz3PmkAzOw9VGLemn65Ii2UugagmsJbSsXsSiH950+zmBbue7fftdhUmpMygxFQTCFB1j8GXTnz0mtu2OPdUilqM6ASWNR7rTgVgwZSQHF7QzcOPjjFvr2ZPTmTvI/nx6BPv0MmO1B/Y/byFdnwPdP5OSfHovSICuG9ykC5lugj/4CuPU5sr0d/MW/+x6f/Yd/xvJXa3z76yl+9Zs1qhN/MWZ1tOJNBBzS0MN/2fOYcPO4Kga3J3GvGQ+yEHfrAlGsxKuGNjN7A7ShXuEkqqjrO5brlOt/aQczX/bcF93ys6gXTDGoLiKsFYLWWeCff1tj8p1CnhOcJyzmQJE7aEVoO8ZG+BA6Kya03/4mx3QhZCoAMWVtxYB1OtHn1EOAtKLZTtRGREImUEjmAeQ2RCNkpQdVwjmQfFfHc47JRAfq+p+ZhISEHw8SsZCQkPDWME4hOCCZYF5VdMSi75BDZKIiWQnywAO3z1epBpShPhILkGK3yKXYbVqPdSU533u7F4e7+Z5Fs9JgVjg98zg7s1ifyQotECa5l+z1UL+5AdmbYGzUFufqV60Ysx+M02LcY8z+VFomnTq7YnLJQrhEkzdrRbUg5oIU9nvxfcxCELSdFBOW5XBtyyhnCit4ZBmhyC68FU3NWJ5052IxlZbbYDJCUSjc2rt4L09OxCl9PtNQRwrroxL5zMNkjOpUlAvjiLjhWOV66IwlerIUU8T5bgczJ1ChwRUBy4vHqrS8f117nJwy6kYi4bpGIt+UBvZuXTzWb/6VsL1VhpjM4FdgZTXy+Mxid8tg8ZG9uEMAyz9IMsbkI4Z7WoFrC/vtEtDfw9ydQX9+C/j0s4tvvL0HVA2k/8QDZQH3//wO9nfHoGmG/H/4Oei/+58uvO1nf2OhzRS/+qcKZ48dXAeYsOrpGu6fo/FnMOHDwHUTQF8V9/gyYqAnz1i8cjB6zd82X9OB2pfEkfcU8Tp96R4SXIi73AApIRVIYeTbI9496/DZ0BlhMr3YJ/L9Dy0mwfwxM0DTMo6OLIgIj590mM00pouL40iMkY1pPG0rfsPiEzS0E25CyGUhkpWW1j/bDHHAzyPPk2FrQkLC85CIhYSEhJtDkI+e+9Vl05RzgemAygi/zO5xb+IYCtJoLEWKUMwVtnc0mtD3ujXX6KwUe3Xj8d2jDh/tGZSlRlurvsj0FliuHI6OQyEX2gP6HmUayV9lveriqv8NILq7RwO9WNCrkL+uFXBozxugcVgpZCZwMKJU417n4JnAHHLOWSbDwBA1qbWsKLrQ/kAQf4qulfaRrFChlYRAivoYNO+H1bAog1YGaCoP7wnOiYQ3qhS8dBHA2YHIiLCtGAl2LaOpGVXlUZbi19CFeMw8J1gHnC0dvAdmU8mK/+FbwDmJaWNmGE1gFsPFbOXBnrA6MqjEyxAmLOYfP8ox7zqYXEwZp3uMbi0TcaUZgIbrpAgQVYe8bzrRWHkHpWXl8NG3HZSxfQFuMsJspuGZUVQK7IFbd+VenpxZnJ7Js3h7nWHneIJ86tFWBJMxdM7IcoYpPMyJRX5LduqXHeoTQnH0DPqbJeg/fQPzkwVoUYIWU8DIVz198lNg/hHQ1eDlbwAA2V/tofl/H6P5P3+F/MkR6L/5r0B/9dfIPr2D3cfP4P7j7zDbXWGxpWE7RnUiVWG3FglIL6fWJFJqxkslDCT8+MCOe1NIMoRDLwqW2A4R/ncB9/1DQnWDB/qG+IWVVIoYeSnjahibg5rOj3jBPqaxBQ7+uM8qGEAeGwulgXKm4FxQc43aQtZLB1KEuvI4O3MwRqJ6rWXU6yGemVTwsCmFtIheD9FINwoafMd9tDKp0LZhh1aOy8iED0Wdl5CQ8H4gEQsJCQlvF+PZ5CWrJ1/6887lzAAHF3pACpdYSA/O4vK/OEHTM8JiW2NrbrCzpVHMPLqGcHYqSQQAsLOtMZtqVBVgSoXJIhj4zT22rEbXafzwuBO56IYaoMclxMhN4ID2ORpaKiMTQjUyoiSSwnzz0O7zQ4K96OQef44rVETo4zxjL3E0b6RciATvAUD6f7UWGTAHIy+i4MHgpMhWShQN5KXXN8ZTOhve46JPQ4hlhEyGXUwfAPXyXu8HibQKWfNaE6zjft/eA3Ut0mAV2jR+87taojDD/Xfh+dne0jg58Tg5IcwmOfKJ+G1UtROC6YQwn0pvs/eEydyKqsMwukYm7qQYxczBtgq7uxptLf4K7BXYE548JbQtY7VysNaDvZBRzoqZmjHiRVHXHk3D+O4Ro6mlUHAdoDPgSBNWa9ff1KJQ0IowKTWU0pjMDYofPEzuYHIN7wm2UzBnFlnRovpdhfKOfMWbv9iG1go8mYKKOZBPQHsfQf/sE7hffws1MdB3p6DdLWC1lr8XM+DzPeiTJe7+9/8GpTv8629yHE8tzk4cTKmgTbif3cizAxfblxL+NEAbWn5SwTDRDWPOl+/Rc/Emz2kcWyMOEVr6vBTqQ2vHeU+J+/4hwQPoRPmgc0IF8QWqvBCUth2SjrUKrXnWB1Ph2M4ghIbO5Pug00LaKi1jbVP5npD13UCG998BnXhsEBE4EoIJCQkJb4hELCQkJLw19JMYPD+i7L6/2O87pBCgTyxQJsbfAdmEMJkrzOe6N7raum2hMzG4K2YAKQOz1H3/ftt5bG8rmIwl+k8B3koc4XLtMZ1pdC2jrTweNPfYh8IVwbSQ+d1IQXUmhbwyw4T1HPnBgywfl0iRN697/zMDh+0+q1C0eyerjqTF/TwrJJedvRTxcX/ODcRGVBi0YeWeIcQCe0lyyPJB+ss+3IdatmfC6pxS52PPdBaTFMJKYPi7d/Ja5xhGSRqDc1KsZzmhYyEmvBfvDQD9vmJLRdt4aE2YzzW8B5ojiSO1ltE0jLJUWK08lmvJpi+LHMUkmEUGMiUr5HnoagVnge27HZRhmBA3OdtVqJca61ODZycWy6UL125YWcwzQt14WOfhvRy/d0BXe7gOOOosojxcG8J0KufWdgpNw9iqNKalLDVO5kKGmYxh8vCsegIeATt3Wky3a+giB5lMKpejP4J/+1u59h8vYAxB7U7l4hoNrpegyQL8+Fv474+gFjm276zwOXL8/jcGuzsGp2cOy6XrvSv6+LoPMJY14XrwRfs1xcQZ9uc9Dt63ZyJ+37xMfObLYOyVwm5QlPFzCnb2wSjXoTeCrFZBiRbiXZUCOCi/lJExIhJ6iiQ20oexlKLyy0E8ghohFq70PWFpW+NI/r+AXIitjakdIiEh4SqkwSEhIeG9QIyS7HtUWSZFOhevBUIofBmYbsssbmtHFArzqcZsz6KceRQzi2atYRuFZq1w8pRCjKHkfQPAZOGx+KgDKQZ7wvH3OR49Egl6tXSwraRB9BMtGoreV52A9oRJmLi9zgQ2mjBK8sJgwOi7QcURV8XH23+ZFbneNR6j0yXAFIR8qgJJcF6dIE7hohYBzk+eY+uI1jLJnU7FFZ29mDdaOygNlKZ+p9ZybxxpsoG0iCSKs0J6xAm0/D3sP5JQ4dhUMJsc59D3xIQePCeKiYIJ0mJrGc1ayJGsJBSlQpaJOaUigjGELKgfipxQ5BKDCQDTOWO240CKkZUebaXR1QpHP8hrqtr1yomYeuEZqGqPdbgm0ZuhqX2vzohJDABQzBTyQDQ0tRAu5VRhPtMoC4WyUJjOANtKO4rJJJECALY+6rDzl0Dx734KurMHOA9+egx0FlAEKnJgUgI7C2BvT6oSQP7+zSNgXcM/PkP3L8c4/a3Dkz8UOD6Rto2zU4dm5SV6L9zLcbtOklInvG+4yrTyTcmFQ73PscXgVZ/7B2afKYyHpAGTE5QhGCOKBUDGuehtwyGJxQeVk+uC2iu0trHnF5J8vQfSS34vjaM3vU8EQ0JCwkUkxUJCQsKNI5IIjEGtEEmFXk4bzKdcx9Chl7uYEZQm7O4aTEqFxUwjn3rMdjpMFhY68/COUEwd2rWwEUWukBmCyQGdiZnf9t02RE4q1GuF1RnDOcbWQgMMrNkBIHTrMP/kUZ/sa2DIQcfrS06DGsG5gUQAgtv6aD8HQZIbi+tDd953YRObrvHjHHr2DIYkPsQi3rugnCCWKEeIQiCeow6tGo6BvJDiXCkCFJAXhK71vUKhrb34MnSBQGCRALsgzY392nLucpBR3quMFK+2lRU7UkJGUe/rIG81GfUmlQ6MtuLQYwx471GUSlQUKy8rfwWhXYcYzYyAs9iOIaqCSDhEJYbRBO8V2BtkE496pWFbWWk0Rlo2MiNO8JNCwRTikdCuFdpOFAydZeS5QpELWRATSmwnvdQRbcNy/iyrlvXao157TOca2wsN5xR8eB7alUORK8ymCk2l4Vc1/Hen4N8fgQzBHTcAIG0QH89BzgHrCphNgaIETk+BJ8/AT0/gn63hjxvoWxNsUYWtn1lU/9bhh38p8e13Fj+4Dr6ThA5TUE/C0TU6/Cf8+BBJzfg9cFP73Uweir970+1Gc8fL8LzVflF5DCQrBwIdzGKY6wOZTEDoEISPbWWdEHj3+SEd+n1mv9HK95zvm6sSQy7D4ThCFM/fbkJCwp8uEtuYkJBwoxgnGgAIcswhFUIZ6vtEQbJyow2wu5thMVPYuy0O/hHFzEEpoJhZdLUUdd4T6jMdVtkJWSGxfsXU9++ZbHu4hkWu/m8FnhyJZL1pPNZnHjZITPvDDP98lQnoWA0wOt3Xnk59gCMAACAASURBVESP4zjj/8eZ6hwKZp0Nm4/eCZvkwqaa4YCCGRmiSkQ8E/KpgneyKhYnrUqF1ozweu9GbQwGvcKDFLC9Z5BnMn89ObJoa+5bG+IxA6K+iARDJJhU2JZS1EeLMkurBHhQbjADv+i+pjh5j74ROieYgnrSo1kFEiJOvFWIYtOAa0URgfA+bYRQAQ+Kjah0yGdKVg6DISOz5MnnOSHPVU8qNI1cFGMIW3Ph8fMQ8wYC1pVH23LwsAjtFZ14MHQdow2RcoCsWkbSra18f6/BoryYzoS8yDIFaxllMURnKk3Ymmls3ekw3+uQTRh6t4CaZVCLHDTJgEJDfXILKHLg9q68cbkG//r3cE8r+GcV1F4JKg384wrVb1f47p8m+OO3HY6PLNYnvn8eou8FANia3zsZfMK7R2yZAHDjEb5vS7FwFV600h/J3N4kGDLGxdaHc+aQkWv18ntvZVyO0Z7j75vraEsaX6v4+QZu/p4lJCR8GEiDQkJCwo3isskPgF7Cnk+pl3sCQiwsFhq39gzufOaw83ETChdRMfjOo6012BPqpYbrwiq6leLXO4LOPLQRmXo5c2grDWUYXa3w5A85lpXDWeiDryuP1ZmDbSSCaxyf9jqTtKjOiLjObPV+H6M+4b5tYkQ2fNF+3e8zpkuMM9jjeT3I7rHJ0bc6MEclwfB6MfySYlxpGiT7nRg/6oykx9hLtGRRqv69zjJOHztpgwh9wj7I/cd9wJHkiIV0NJT0VibQh0rMLGPhzO48cTKeDGdT6lsruoYlZz6qIQh9IgW7YFA5an+JC35jY1FtqHdR91aIFDmW4VkxOcHk1JMkSkvMXJ5JCwWRCDDq2kNrUaEg7Md5Rp7Ja+paiAcfWkQkGUNMDbzlvniPah+lRfFQFAoMoCyEZIhtGFtzjVsfMyZbFos7slPzk7koPYwCbRVQe1PEmAv326dwTyr4M4kK0Z/MoLYkNoNyjeY//YBv/vMM33xrcXJisToRF/t4P12bWiESLseYyATeTaF6Xf4KL8KYWAAuRgOPCeKeDBylTMjYSr0njbMsCQ/+PFF9qDcIE37z75txZPTY6PdtfI8lJCR8+EitEAkJCTeKC7ORIA89wD6DGdoolFOFspSV38Vc49Ztwkc/bVB8pKD3FvCnLTQAyhXcdzXy0qE6zaAUo2lVMLAjmMJLVOCWDaZ7UollpYOzslyWTximlaOq1h5NHdQKGy7ar43Yev4Wp2Hn0h5GRXAkFy54LVxyLIdqn3UW3gf0hbIfESuxXQGaoCj097bBByDEO3AoKr1nLCsH3gu+EB5oViEhgYdYy8uu730OcW6hByVGZcYJdFAJv/B6AMCDZp+j0iEqUGKSgdIAR9VCoBF+YQfD0fEuIkHQX4fwO9fJqmFfFAQztNiyAQjx0NZBLTNRQ4rGKPnCe2mH0JrgNKNtGN05F3g5bx1bQBBSN2ggSGzHqFYe1cojLxWqlexTaVFNnJ5anJwZ3L6Vo1073Pq8hXtaQU0z0G4mpIF1cI8le9N+s4RvndxTT1DLDrRbghY5ul89w+njHKenQVkR/DA4GGdGs9OEBOA82XefH9LY7BDAOQL3pnATSppN1dplKoLYkjAepw8hbQ3RWFFRUCiMWi02TRm/dEK6Rkb0OkmFuL93cZ8SEhI+HCTGMSEh4cbR99by0O+qDKFcELZ2DaYThVs7wntOtz3yicfO3RZ6y0DfnoJbB39Uwy4ddE7oKmD1LEMXetsBQOc+pD8Aba2QTzxcR/BeWiJcRzj9IcPTJ4zTM4eTYzERsJ30sftOij18YKsz43YA4Pwq4Ng/YYz4mkO1z6aMxnuy4kyhmB4XuLK6Npgosh9aETZX4vIZ9coDWw3pEi8zqT9Qo2LkknvwKnFxccI9Vh8AQ+IGhzjI+5coH0gFIgBBaRHNM/1GV89YfWOoVz9IdOfQ3hMN2pQZTC6BIU4zyxUYQxHh3WBCqbS4wTvHvbInnlPXMrrQJhFJEGXEZ4ICkZHnCp98nOP2J3Jwk4XDdLtDdreAWhQgQ7CP1lh/K9vJSg+TeVChoXcK0EQ+l+6HNdaPgdMfMjz6Dnh2ZPHsUde3lHxIn5mEt4cLhfWopaxPkODrke2/r+jHXcJrf59sjus3db3OkQv8471HCQkJ14M0QCQkJNwYrnLNPtT7bApCPlHYvWWwt2Ow2CJsf9wiLz3yuYde5LKK3ji0J6HvvNFQmkNMn7RBmEKICIJI85tgpqezwWxQaYZtFZqlwskR8PTYYnnqUK/GK68AeFjBfl/xqgZom+TCJvEADEXsZdLk/jU6KhteLGF+k7z460Lfx7x5FDTuWz5/v+O5KkObb5H2BD+0Icj7pWg4b4B5iew5eCMg/i96YwRvB50N/hH96zh6T0iLiMmEmcsLUTlYy2gbj67lPpYzbsMUQrhFVYPJCPOFxt6uwa27wPbtDpM9DyoN0Hm0J8J0HD/KkRWM2U4HU4oyQ+eEbg3YVuH0cYajJ4SjE4tnTyy6JnwuK8Yvuq/f689Nws3hUJ2X6G+2Pb3rseEm8LbOc7NtLEbtXte+3obJZYLg3PftNShMEhLeB6SHOCEh4cbwILvH4xXjX3Rf0wMjaoXZrsZ0qnD7VoatHYmEzCYO0y0Ls5uJSmEtrvvNWod+dw4qBAI7Akjk7eXMwRSy0uodoWsVukrBWQKzVOH1UsM2hD9+3+IskgrBU4E0oDKC77g3z3oX0Vp9esZzVooO1D5Hlcar9CkfqH1+0xWo69jGTeOBuWjcFsmuq0ikQxWi4IALZNM4so3US5AsI8+NTTJoHCsKBGUEiWeD95JSIZFzEEIEss/JTAEsxo/ei+ImnhORmGBGkqGrGVlJfbLIZ39eYDHTmM6B7TsdTO5DCgbB5B5Z6aELwun3BrYlLJ8ZsCdMthxsS1ifEZZrh2fPLNYrD+8YXc342yoRCwmXKxY+pPHifcYB7bPOxecmKq9cIBZ9l1RD7zvOGZgC10oIJSS8K6QHOCEh4UZwqPc5yrN7EDDf1bh9J8PxiRVSYa4x2XLICsZ0p0O5C6h5BvesRr00qM40ulqIAlJAPpWKyVtCVytMth3KmUM5t1Ca+6QIZ1Vv4rg+MTh5lKFuPY5PLI6eWZGRr7lPO2CESC8vfgPjI78JFcPY5JKUJDRsFqKbBmjARWOwhAF9mkZYQb3vz/ckX1X0PG+1MbbxACE1Y6QwuGpbRIPKYdMl/oEJ0XMB7LnPpgdEfcAsLT6kCFkh6gVmUSN4JwaVylBvRqmM/J9oUF9EYmG6UCgnCou5xqzUOF05fPKpwnTLYfevGJRr+JMG3RL45j9PoUzwW9Ah3cMD1RqYbzO++9bj9NTi9MihPvXpOUzALyf32HXB28S/W2LhpswabxIPsnscEyRIBWLBSvvVh3yem54c7/JY3hbGxAKQkjYSfhxI5o0JCQnXjgsFbzBU8JYvyMoj/urnBfY+beG9RVZ4sCfYVoGbDvUJ0DUZlLnoBledGKxWHuvaw1qL8qnC7m6O+S2FYuLRrBWy8nLHKe+ld36+pdHUjJPa9mSCpB4A7pK3vgv5bkxBeKDvcVRQ3OeHdOBHBMSPbEoyjia9jp7iy97P/OIWkueSCqPnXGfUG0QSgAN3xXNCQ695vGdxWzG+sjff3EC7Ggr2Q7XPtonmk+iTVS5D7GPX2WCs6DrG8SMHsMXjgrC1Z7C7e35aQIqgdwq4qsbeT1tUJxrOErwlZKXHdNti3ihUZ/rS/SYk6JBm4B3wRfN6SpY3JQV+Ob3Xq45+6e7xv18//zg204veRcEXScirlAcHtM+/6L6mQ7/PKhrIhoSbH1Mx/mMkhDbBSKRCwo8DiVhISEi4VoxXcMe28KQoxD+KpFtpYOeOweefldj+uMNk0aCcWVCmUJ8M369dIy0MzhHWJwZtRbCNwtnK4WzlQBCZeNcxyvK8M+HZkwykRKEAALMdi/leh6z0UIZD3B9Bq7BkHeAdQ4EAFfrTNfVmhuxvyOqeh5RHGhWim1b776JF4yaw2ZdNCoC74sWviPE1e5PJ6n1+SA9wsbUigs4/Vht/FFIrmmJGcDB2hBsMM9m+WNbsbAjmaH0gEUZmm6Ggymd00dU9pFh0a8axtTg7dvjhB4WP72Z4+q3B7T/rQASYQsNkHsBAIHSVgpsqkGaYnJFlhPXKo6tTHERCaDsaPbVRufAqiITbOA3hTYld0oQHZp83lWdRVbf5mQRkPLrp1oIYQRljJDcLz3gNvnQP6St9rz/oH2MLxI+RVPjSPySklI2EHxl+dB/UhISEd49Ds88UTPGyCfVO+NL7LS71u7el2P/0To67f9litiekAjxD7RRA58Gdx+kfgdWRgW0UlkuGtYymlTlUVXl0nYcKkYHeA1lGmE81ZlMFE5z5rWNMF4zptsxOXUdYHWucnHg4x/AeqFuPkyOL5TMPIkDng7P/2PSvqxmuw1szp9s0GYzyYaXRMwzvu6HkJjYNwCKeN1m8kGDxls2t3mRVbNNnAXixEkLiPannHbxjqBAdCZJozM3e9MtUG9FjI3oqgC43R6XwGdEZQCTFk22GfQzJFJLOAgCzhcZspnH3dobFLVESQQH1mcbJEwWjxWthfaJxdGrx3TeSIVqf+Q9eip1w/ThQ+/w6RKgQFJd7nLwsvsrvsS7kba5hfNFeHL8fZPd6BdI4nha4+dSKmx7/3ie8zvdFQkLC+4GkWEhISLh2xG//Yi7/KkrRancNo2vFx0Arwk8+ybH7aYti5qD3ClChARBIE7rHZwAA73LYRuHkhNE0HgygaT3qSgiFuMJECL3nIKzWDp31mJQKRa6gCLANYX2iYXJGs1ZYrxmdlXqws4y68ihKhbpksAumd0qKMEBqetvxjeR4n5PAkxSoB26fgQ+rWOsniOMj5uHnA9xMS8nYQG5zcn7VJPZVEHPoAbyUquJQi+kaGKCgTFGa+ufuqmfssmt1P6x6RaWQUgArwgOSFdkDEoNN9tKGxH5ItFCaemVDTJHwltEsxZehKxl14/HkWQeiDPnUIy/Fp2S+w3j2mHF8xmjaDnUln836VJiwD+k5TbgZvA6pIO1Qo7cRvRZB8UX7NR1aMWHlyxQJ+nxb02WvuUnc54d0yCPFx5/Qp2mcGDL+OSEh4f1H+rAmJCS8ES4zWYorpJMthZ1bRgp7y1ivPcDAp5/muP2xDD/zvQ6L2w6UKZg/W4DXFuwZ1e/WOP6+wPFjhadHHXwoiDrLaJth0leUhMwQrJXVYmZAEbCzbVDk8reoaIjFn84YqyWwWju0nYe1QNN4rFey0kpKHJpJS8EFoC/2XEiKsO31J0U8yO6xMjIwj2XDH7Ih47kc9E28hJHbm04uD9SoYOCL1/IyYuFtX+to0Khz9NGm/f2O7RMj9QPwYmOvQzVqQUJYbd14tdKjxImghImtNfHnscGjMkA+VdCGsLUl8ZSZISgirCqH06VDXXmsl06UPO1ohTcZkSVcE8apLOzeXtrBOcWCA754x5Gp4wSZPxW1QkJCwoeNpFhISEh4Iyxua3gH1EsPNINstdxS2PtIhpg8JxSFgskIs4nG7o5CXjowA7NtC313BjUx4MrCHdc4+VfCs2+mAIAnRy2WZw5ZRrCWYa3IxomkCPKOwBqhFYJhQ4F2euZQloSdhUHbyWqqIqAOpEQkKZwD1muHrmUoJQvOHFadXcNwgZBQWmTqzkqU19vwNiAC4AEoMTwTTwcpdKOZ2E1Lct8El6oBRoqFl8Ebn+v4CCj4F9jnv+VtmnMe6mEFlr0kj5yTXPdeGoHcukJpsYkv/UN64IdEiUiyRfSmjrH1wQ5ERuzljkkT7MV3gRShDcqgMwKc4347iqQVqa39BVIBeD6pMJZ5f0jPc8L14mVJQ+ZgSPiWi2v2DI+LrUTvCj9W/5yEhIQfLxKxkJCQ8Nr4+q//V47Fy3Li8HdPJFqMCOhqj6rymM4UiAiTUuHP/hKYbndQCmgrqSyatYapLTAxULsl7DdLNOsCRycWj77v0FQe2oh5Igejubi6W0xV8EgQA0fvpXWBQhHkPaFuPWyQtdpRAVfkCp4B5xkqFFPe8aBYsKEmtVKMxm34To7hZYvPaLwVSYHLCsS42qwzhPOU/QBDcdi3ZSjg0N28kdjroJe0bhoc8vm/v01sJivwRqvCfQ7tAhu/e5ltj1ssXjZGj/1Q9PtOnun+b5dt4xUU2cwAAikQ9xPhfWjvCeQBcsA23JuExkQK2Q6BIH8nJdtp1xb1VKGYEQiEbhRtaRs+v7/nHLMoSIZTvDEz1IT3Bpv+AQf++WPpuVajt4gv3UO6LoPYhISEhD9FJGIhISHhtfC/7f4NAwStpWhxITUhThjzUkFrQlNLlTMpFbKCUUydFP6WUK80ipmDe1YDDLS/OsW3v57i+0cW338rRnA+mCu2tYfSJJF+m0UTSyoEBUUBgEA0SPIDEHrIPVAUCkRA3XjUof2hXvvedVwZgmukaIpydA7b7Iv8IJe9Mk5wBFI08h27enbMLMeuTSAXAHxpR60lowr5OZt5L/EuV6S/9A/pAGJw+KLr9irHeZm52svgPj+kwxAR6v0rCziei81V1gMeReZ5QOXhn07IB50Tvmi+pgPaZx4HPtAoss6h9404WO5zswqvCZ8NpaTViOlqU70o6ebQ4hF2IYSGIaC7ltNP+EAQn6uedL3GxJeEhISEhHeHRCwkJCS8Mn45u8fbuwbGSLGgNWE2U1hmJBJrZrRrjyUB07lCnmvcusuY7XbQObA+Nvj2n6XKOXtssPNxh+zYwTYZTk89lksH9kCzDJUXxHjOdwxvBxM623FPGIhKQV5rW6BtGHmp4J2HyQh5rqCUeCmYTFZcbSAjtKE+di+SI8QjSTgNRSlpicqMXg4H9mpyQQiB4WelCQd80XhsLAu3rcjUx9tkD7AaCtCbmohf5p/xIeK+f0gHfPV9ep1zu88P6XCkxHiVe3KBAHhLrRfxOYv30bUMnYdWCdqI/4vPYPgPKbpwXOOV40O1z0q9HNmldDCVxEbaxYbzfsKfJj40ojQh4abwY/kOTvjTQSIWEhISXhnsgJNnFs5pFIXCau1w8v3QuE6KkE0IRUlwluEcY3VsoE2OYuZgG4W68ahqj7JQUD9kWFfiPn922qE687D1MNtUhnpJtncinzYFIQtFUteKwoA9zi3/VmcOShPamsEzURoQEZqW0VR+KK5i+zkN71ca0m/ruCcuSEu7QiyuXjQf/tI9pAfqXk8u+Cv6hL0DlN5gMC5cdAZfEiV4HThUYfV9tH1xY+93/UqS/PcR1z0p22yfeJO0kLc9YexNVZUkRGCDVLjPDwkWOPTyHLyM8eKX/iE9UIOSZrPlJOJBdo+jASpBSLxICH7gj1TCGyI+YwfqzZNZEhJ+7Hib3j8JCdeF9IAmJCS8Mv5+fk88AQxJnzaArpLKKrp3l3OF6Vxhb89gPtUoSqBrgHXtcbZ0iKudzCGdoWGsjkSpwEGqDQipoAxkFZWkCDchjzyfSNyks4xm6UHB9d5kBOcYrpHtKEP9awHZTteGldNQaLFndA2PDOzC72oO5o1yPKSG4/EOcJafm27wMh4LwDC5fp5h11UTi+dNOJ73HmVodF5DcewdixfB6F3xb5uJCkRyCS877khOMAfVwDWvvsTtvarPwXXhZT0WLiRjvMJxjs8xqgne9BwP1T6/ybXqj0kNXNhVRMSB2meTDX/yjvu2IyCtwiUkJCRchneRWJSQ8KZID2hCQsIr41DvsykDsdByb4inC/ETKCaEolTY3hJR1Hym+paCP37bQmuCMbJ6Wa09qpVHdeql9WBUfMc+dp1RX1ixkyK/XIhXgvdS3HsL6AzIclkedY7hLKNdy3ezMoDJpR/cBf8EnQWJdoiydFb+rYKWy3fyO9dGwmEwUIxKBgA3aka4iXHMoHeiNojXTRnq5eZfhsK+X1lWQtDojBALP2fFiM+2YvQX20MA2ZYpCLaWdpTeG4Ci0oPOE0I6mARiMOjjcM3lWAOBBPQEz6saUh7Q+ez59zWW89x1x6sRIJteDu86ReFVJ7uHap9VvOeh7eEykiohISEh4Txe11g4IeFdIbVCJCQkvDpYYvJcyzAFoEsa1AS5KAOKQmFdOezuGKwraXtYLh2ayiMvFZZnUtx3DcPkwSV/s0edzv87mijqnMAMZDkN/gpBqWCyoFrwhK6VKDx2IdZPh6hKJdtrKw+TD4Wu/J/7yD1vRyZ2DMAHBUJIbhgf39v6wo+Kg1hgkiI5RggxYEpRV7hOjver/F6/wq1CyoQiwqETA71sonr1BpGYWmotZMudz3K5V5XH0SMr1yEkVMTefFOSxCAG0kAZ4KM7GXTY3vfftOJdocTYk7QQFN4Nqg9mwNaM23+ew3NoZfGMrx7f46gAGV/Tvi3jBeSD0i9nqHmTOKB91hkFVYyQLARJynid4+xVNi+x3/fhOnzpH9JBez5eEhglhozIoZdpwUhIeB/wwIjqJz2vCTeF92E8T0h4ERKxkJCQ8Mr40j+kw26fSZ//niumCiaTgrJtPera4/iZFUWAk/g6nQPe+X7lGgCqE9+vtI+317clsCgVvGOojX1qLcoJFdQL3jMUJH6SWY6pazzchvO8twAYqE+8rOzTqBWg82AvCoxNQ75zE8lr7AyOzvmXFc4HtM+mIBQzhawg5DmBiGAdQysxrWxqD2X4nDcFIO0i2hAmUwUGMCkVphONsiAUucKTow4AoSyCkiNguiMxoZ9+kiPPCfMFwVug64B15TEtFb551CLL6Jy/wPaeQdtKD/2d2xnmUw2TM5RheEtwHeHbRy08X4wanO9pdB3j7scZuo7xf9T/C3vPwVxTzvHwyT5fNplXhoKRKPDA3+O4Ov6uJ2OXeQ+8SRvC84zuxiTU62z7ZXDZ9l9EYozbiPRESLu/p3vcVnypbHLcavGuFRoJCZt4m5+vhIQx0tiX8KEhEQsJCQmvjNgzrnTwQNBipKi1FA2tBfL8/PeheCAA3MiSq3f+XF/+uUi6DZhC0iYiuWCboFIwsi2lAOdDusMIzBJT6QOpYJtgGhfUEb/oviYA+Ar3LuyVGfjb6us37mXvt4fn+yeoYJ74lbnH3rG0KBQD4ZFPCCYUz5e9VxvqEy68l2s1WShMp9KGog2hac47DE62HX4y1zC5h9IMpRjMhNVRgbYBsly2vVxe3GlWAH/x53nfCsGMoJwgrGuPznosZvrC8S4+svj5ngJ7gm2pN8wkxXAtoVkrVI3H8Ym9sM/bdzJMphr/e/U/sw2pHt4OyR3x4ro3MFK8TkSVCQ/+oK9MKvSRjy+JB0aeOZURfkn3mIO6KD7r140XnctVRZgyhGIWW6nkJURy/D2Z6FP9lvB+IZK88QP9lbvHX7Rv57OVkJCQ8KEhDYYJCQkvhRidGM0LTUHIC4Wm9v2KuPcMa0X23q492ooH074w2kTyYLMgicTCGNmUZH86KB7Canws1rSRtghtSFoBYnrDyIiwqzgoHlh8BTIKXgrn0xXOGexdg0HeZeczPu+xBDx6JPQFsgayUsFbRjlTIABtyzCGMJ2pnkBpW48uJFwA1J+39+IJoTRhOheFggstIJkhLGYa06kkXBAxTCneFjoTcmF1ZOA62YfOGDpnZLmH7RS6mlCtGVrJ5Np7oLMeW9sKqzOGZ6BpPZrGI88V5lON+TbDFAxtpM3BtgTbEdgRdCZVt7cEpRltpdC2LIaeHSPPCXkm16BuPI5OLOq1B4c2GhWSQjC677YevB7A8lw8j9R5Wxjf47695i36QIw/ozoPrRfhOrj2+tNEXhZ9Gw8B2VRBZ+LHYdtwn7wQhjGVJKqSJI2EQVpUMZsxrAkJN41DE1qbIhiw7eVpPwkJCQl/akgDYUJCwgsRV0FJE6bbCts7BgygbTycY2hNaFupYGzHaNfSejBecewjFy8p8i6Y22Ew+dOBxIjeAt4NfgJx+6QIJpedxMSIWMT5YEgYJdXPS0kY/3wdBczhZTFqsUeeRj4FWrwKIolCRNBGiIE8J1gr5IHShLwIREqQ+jeVmFS6jiWWk6RIywoFUkA5UdCa0IX2jslMmt2npUaekxAEEGVCNMjsAknjQ5GXZ9S3fTSdx9mZA0NICu+B9dqBiFAU8hx0IU7QZIT5TGNSyj7LQgw3rWV0ltG0EkWaGTlP54Gu82hbRtsxwqFhMlEocgXnGculk/2HYtR1IyKJ5H677ryfw9jA8k3v6evgIMQ83kRRfKj2GdHwFIPh6fuwqvogE2VQVtK5RAnXcYi/lEPsxwKKEbHyI3ugqxO5kPBucaiDYW54dtPzmJCQkCBIg2FCQsILESdSn36e488/NyAC1qeEb75v4UNx3zaMtmWwZzRnvq8GpHgYDPmuWrHdjO4DxAjSTKSYdkEO3la+T6FwccWTpDBWmRTmJhdVQiQVbnqldhzD2O+Y0Bf+sSgGAoFCUmyZkH4BDG0dzspKbpT9A7IdHVUcLcO1QgQoPageACAL/gqAED5KCVlhMmmriEoQIBIL8lofVvnje9pGyAulhNBwragMCEIUgaW4HyOmayhDyApCORH/DUXiCXF26tDVHlkggiQiVLYVUztsy8gnhMlMQykhPOqVl0QJ5t7Mk0LCiHfoTTfH6hPg/SisbwKRIBuncsS0kOvax8uaaV54n95npUkUOeEzzZ57M1gg/EwDOZiVBJ3L56JrGN2ae1LifU0BSfjx430xR01ISEh4n5AGxYSEP0FEiXYfB8hAuaUwnSkpMBWhyAlV5fHsO9uPFHc+y/Czn2fISg8w4cn3hH/7YwMAqFayIt6ufL/dCArxjHFfV2beh6JoPGF7YPY5n8nqe1yp79YM7xi/sBttBUT9oEYmFPDdm61UX3ZML3q9zqR4IkKv3FCG+uKbg5IiHqzSIl3XmXhVMNCnKNhW1Ba2EQWGzsN7RlGOroMUZ27YHerXRAAAIABJREFUpqRCUL8q7C9aFvQEhMoGIoPD6n4kKKLaY/M9PCYTQoHZt5NwPC9RuZgReYC+QJTnpfdYoNHGAyKRonMpLtnxuTYHCkQJjdQWPqgtNv02XkexcBNRXwfqPKH2vkqqx4aKwPnn4GVJi0MdSQ/qW1fiNn34nMR7yywE4XRb9YSXc4zqVB7GGEFrG06rxgkJCQkJCe8B0hdxQsKPEAdRgh/k11/l91iZsDrNQD6TVessl4puPlNYzEU7vphrzHYtyrlD1yicPsrwD/+4hm0Z/8XPS9z9jKE0sHxi8I+/rtCsZKIfZemRQFAh9jHK0IFXj5OLhIEuxCAyFtH99vzgt3DfP6S4khrl729SbFxlOnefH9JV0vYD2medixIgHq9t5W+DSSF6CW0srJWhfnW/mBC6oEIAEFbhQ9HlgwpiREhE9DGNG4V9xJgcYAyvoaDwiMcHhGhOhz4mcnye45W650n8ewXKuMVldAyXphfQ+XNixwNhgcuvN4CeWIg9+qSklYQMwQeZ/aumC1x2/99G8XqoxawQuOj78b5gfC1oRAgAl7c2vWhb8bmI3iJ+FDE6VpqQAoq5JKF4L4SUazn4qgDZ/8/emy03smxpev9yjwEAp8w9nqlOVbdaLZlMkllLbwBWmy50pzvJWnWSfDCAebokmUkvoIveND1DmUndkrqrSlXn7LOn3JkcMEWE+9LFco8IBMExARJMrs9s78wkMQQCMbgv/9f/ZwZVGRRTc49yqgUGRVEURXkq9AasKM+YaIoWJyPdnn5mMUDMBwa9vswGslzSG/LMILEhQQDAq70E/X2P3c9K7H5WwVfA5EOKH/4+xb/9d1MAsgr829/mePXK4OKc8Q9/WODinWjpfcl18sFJEqIoW6uPD43/Gxv5jMaGlfyK64JC9GHwjvGm3MBq8orJZXuVlf3VQsnYimu4SQjGSDuBaxcXsHr1vJaJm6ZY4oqrE+Ilk8nWa66aOLcLTPXjwu/ak8G2IRk7KVI8dOV8aZ9FJULrOLjyWVqIceX9JtlLLTSQY7StwADEwNO7jy8urHvSOjZXI1tjMWWd7/OxLBUWuooFf792iFWv3S5UxcOFSM7vpCfXK0DO88WEkeTyu8GuhbXAYsEo5h7zC2mT0uKCoiiKojw+GjepKM+YOLgfW1k5Xvl7BvKewc6ORa9HGPQsiIAsDaaARUgLyBjVnDC/sDCWMdivkGQeg33G/qsEP/6xRNoH/vRdgW+/BRZzxmLi4ctGjRDxHmh3Q7DnayeUt00CovrAtd6nPVkFpOhwwkOOrRHr4LascmMIbIATc8jttoaYxkCtfye5JBVEn4hVk3b2gAv76ab+3WM+pVXf9crHtt+Hr2/riC0jq6Is78uSEoGb4+I6tcHSdjDAFdftG3d9v/jZjvmUxtWQTUr1cRILWu191i7AXTcpfoys+iN/SidmyO2+gm0rKnSJJpnxu/3YSXz7+UvxszTkeM77RK4hsQ2GegY7exa9voF3kpYSvUvKOePEDVn9FxRFURTlcdGbrqI8I66kJwTpez3P7pjoZQOD/c8sXr9OsNMXXXyWEpyXuEBm4GLqRHrvGVkqSoZebtDb85icEf7hDwu8/14a9F3JSHJC2hOjvHK2ur+5uxLbXX2uzd+weqX9yuduRTfWqoj0kNvO/79brN+c7zrFgkmojs0ElifBHKIeyYpcW5IKUCdUbPNk575+Eje9RpvrXm8TioCTZMixdQYIBZuiUSwstVuw+HRcV+iqWy2oOe4+dvu6bKIVor3dUf3yMa/7WG0hV963pWAAmv0/oiH39g129i3yYAI5uXAo5r72EontL4+1rYqiKIry0tGbraI8E2LkI3NjWMe+ibsa0ZDzXakqpD2q2wV6fYPPXic42EtgrMjcp3OPyjGmU4/ZzGM+9XW6AxkxyXOuWfGNyQp1Hr2Jff83D9pX9eC3zeoiN71OlP63iyfxsSeJtA/EyLp1TyDappAx2pK9+BKY0OpBVraJfVhxdwwEo0myqBMs6m3c8hXpx2RTrQbd760dNWqS7sEnPhLdFIm2b0M83t+U9yterds5/krbQKc4F89P2f6rn/NjFT3b4oQ/tkPuHxgYG3xiAJQFowgtLxSKeTFydhu2WVFeMusoWiuKsv3oCa4oG6I7CO+uTLZX09pu+t3n2FSM/bxbNs1Pe/IPiRuUievgtUE/xPrlmUHlGK8PEvRzg3khb7hYeHw4cygKLzGCJdeJA2AxvmMvzvqysTf3xd93oNCe/MTXv4v8e9XAZBODlZP0kG0qaQ7eMZKseWlfhRVuIwUNEz9HswAubQWhNaLd57/uyD/lYbTPQ2A5nQO4aowZjQIZUhiqZsstI9cde9EbBPj4WMRucgSh8aJof45jPqWYvBBVM/E6s63GkA9lbKWQSkaugb4MZqUUDE9d8z095HPrROhm7tPOprxsHiNdR1GU7UBPbkXZANHzoD1hPkkkMSAbGFgLVCVQLkS6axIAXgbIR04mBzGiLx8Y5H0jfghTDxCw/8oi7xkUC8Zs6uC9RPm9fp1gd2AxW3j0cwNmsV7IM4OiZFxOHS4vHC7PHXzJKOfL/gimPeEnWoqIXNeEPrZzXNd7/xTEbcr3xIGeGSjmDLfgOjaSDKFa8NIKd/x5PaEpl1dIx2bIRy359jZ81pdO/E6iqsEHRUn9fYbvVApDQL5jat+MnR2LsvJ4/10VjESbCWzbG2Nl8QIPP9bHdtmwk31T+KjjRMO5uqQGiq1ShtaiWNg2xmbItedK+GR1bClzXeh7SPGz/e91nLexGBm5b1vU2Ibrpl+Pt8XHopNF5S7clK702NuiKMrmUfNGRVkT7VXFIxeiDwNjI33fvV2DJBGX8zQDkhQgknhBkwCZB35/eViblvV2Jc1hMDCwluBeAQxGL5dEh72vLN6fV1gs/NKMYn/XwoV2hrJi/PDjAs4xpue+6TUHanVCHVMYIQLf4J73MYOCttneQ19jnUQFhU0JaU7IewbOMWxCmLHsL5O0Vn7bW83yA1fFvy9PMNuFJR1IbQft7yROtNvqAgreI7G9xTkg7xEGgya7M9sxEn1aAWDCYN/gfyv/Jc8vPX7vDzlOaCPtlpgusah1Z9PGcPz5ihHbPQApCsZJ55VWoy1MmlgH7ShScCtG1fDS+fjgNwjPHOHji4Lr2vlkrj+WHottuXbfxtv8sL4nR7XZ026RAui9cJvQwo+ybrSwoChrhMP8ftRaqQaC+3shBYOk2+MN4OC1hWeAmTHYNTKZycTpvN83MCSGi6vY37FwfQtjgJ8/VHj3oZQVTA/MZx7F3GN33155XjtloZ7scyyObH7c+Ng3rtofgrC0krnUltGiKrg2+mPHMCkhAcGVYd91izEt9Ka8/Sx9Rzd8W8XEA0zo9Qyy3GB3N8GvfyHnU54TpjOPf/zD4srzenuEYhYTLgiegBMcclxJB+4u0Y/+JnG7r53YEXD8CbU73IV2SkptCruBy9dTKo66pr3dVBzlKifpoe6hLaD2hAnnz3MpSr0E9LtQNsGLGoAoylNzkh5y2mtk1r2BTFZ6uaySAzJenE498oywM7AoKg9rCNYQsoxgDKGsPIpCJi2JFQXEZOpgLWFReFyeOzgnRo2+kpg23xY1hElxVybcHjy3kxvu6oOwrYxIvCqisRtzY1IJACAgyQhJj4IcnlAuQmHBhNXhlEK6A4Md8Lvim3rA1O5/16LC82RVUsmIhmwTgs0Je68tdvcserlEtloL9AaATT3mFxbOM2ZzDyKCc4yLS4f3P1fwTlqOYlqBzQAf/DvisRbVQV0vhiWzxhUT265fyUNk/09J7S2D9SVuRI8JAA+6btXnc+uc/mjlQ3jdtnHofYxAazPSsD3Mm0kouQ/PwWPhbXZYnx+u/LQ8RhTlY7itqLCt57Sy/eiBoyiPwIjEX8GmYgTnPbD3KsQ/ZrIaCsgJaSwhSwm9zGA69yhKj6oC0lQmIHG1syjiREYKBsVCPBiqoum1jkaC3qNe4brLDaOb3HDX2LbaPwFPP/BtMzIyQTSp7BdXNn3vkWwg30GSiWeCc0A597CpmDQyA9VcPCtcwc9uEqfcn3rwFQpM2Y7BYM/g889S7O9Z9PpAsSAkCaMsgSwPTyRgMQMupw7n5w7zuYerGIspw3spTMV0EaCRtsc2pbq4F8xbgZul3M/VaHAThZE6ovKBxYCxGTKMFHwi3m1Hmov6tNyP6HUSC8jPuTiuKOvgrioFvc4oD0UPHEV5JN5mh2yCGRwgiQH9vsHOjkGeGczmHsZA/BdaK1tVxbiceDjHSFKCqxhVxZjPvExUSl4ybwOWDeh8xfWqG3D3G8ZDFAvbtoI6oiGTFf+EWDAAAFcB5dQ3+yXsr93PJFHDe2Ax83VhJiocAPm3K/nOxRblebLKnC6uhvf2DXYPLPp9g35PWpWsJeQZYfcVw5UhArUgnF86XE4cLi6kejA993UMItAYD8ZiVSzKRV+WNq74tFZdu+oC4Oknf1EdYBJRL/l4DdBC4qOhBRRFWT83FRX0fFPWhXosKMojMDZDNolERBojg9UsF9+E+ZxBJNf7+YLhvUdipW3YO0ZRMuZTL+aNjuHCSnu1CKkOnei7UTCN5FhQiP244bYxJnFSv+1GwgCIr6oPrpPAroqRfKyb1ar+86icICLAA70dA2OkUFMtpCoQH8MMZH3CYibqDmOkTWURUjPKOYM4FHF8x8BReRGMaMhHTs6vcs64ZIf5zOM9A2kmpp+v9hNMZ8DejkGaM0zCODgw2B1Y7O06nJ1Lgouku0hxgVnSJWLjPFGTXPHWHXJUNYAfFpu4aT5GEs9ezAgB1K1ZT42xQP/AIu+Hj0KE2YVDMWWgWFZEtFnVptL++XNVlTwm7WNJiwuKsnm616dVv1OU+6AHjaI8EuNkyPmOgU1lNmusRESmWUgcIIk4NAaIPo0+FBJi6kBVyEzfh4i72sNrxSS+3b+MjlP8Q1sVuq955T1XtFBs+uYUt6l+E2rUBXE1eOeVQW9g6onLYu4xeS8rx+GjgCBxkzaR72Qe20o4tE5ERciKooLegD89borTG5khG4M6PcUmhLRPyHKDJCPs7loMegZ7OxZpj2EMw7ugeHGE738s8f59hemFhyvFf4G9pI+AY7GBkeQkUbSQdolysR2S/MjS9QC4tyqq609yn+duipEZ8uC1xd6+xc6OxPx++FBh8rNfUoUBqL+rSD1ID8UHIPq5NI8Hnl6VsY2oO72ibIa7+CloYUFZF6pYUJRHIPZKi+8B16kNVclwFYGMmAW6ILOv88r91RYHWY4XNUH4a6vC0NxElib4ndsDYQ0rQrQihq11a9q0kWFdUGj1QxM1feu1ARtLwSbroVaLFHOuiwpAs3K6uPBIegZVPdmT53f9GNrozffTpLuS0z5fjv0pSYKKVPe8E1WLK6W/YXbpkPcN5q8S7AwsdncM+vsOZOQ4OpgnwVy1xNzLOR+P5RiTaDMSRUOMOY2xsFvOfc6HdqLDtpD2CL0+YTAwYAbyzGB318I7UZr4srmGr1IuRcVYLLhQ6+/3Tax4SSqHVZObl/C5FeVRWXENansJLT1ky67NyvNAL9qK8giMzJCTYN5ItsmbT1LAGEJVMIqZTHaNbZbf2TXGi0StlS8sy4bjJH7cGdQuTfTbP37gpL8eNAeeavW0a6pHtqVQgEzK4v7xjpENDPIeyb6FTPwWE25SIQKxxz0aPbKTlpPb0AHwyyO2/sRjCgiT/3AQ2gQYHFgMdg1+88sc/V05IHu7Ds4R5hcWswlwOZEWiQ/vqrqAFdsjyDTneROTuj39/h+rWNhW/nr3L/mzrxL0egZlxSgWHpMLJ74ZVVNodEVT7IlFBiLxZwCaAkR3pMXu9n0UjQfB9zfffY6oYkFR1s/SeXVLYbO9GKWqKuWhqGJBUR4BmxCSnJqefg/YFLVyQQwGgWoRnhBWLduxYie2M/Bq3yS6f+8QB73xIQ8erK16v6eCokKBRLVgZDJmbIiHDIN7A6CYeLiSYJNgfrng2pAtGjoCzYpxdOcH5PdvKpUKKssc8ym9tYd1gSsWpWT2D5QL4OKnCvOJweW5w9e/yPDF6wRkAFcSjGEMdgj9gYVNCJ99luCHH0vMJx7lwjfJEUsT9+tPuttWtzex+n3MpzTC9scO3hdXMCaXDpNLV5u5SlEHyHoEV0qULzK59hhD8L5ROTE3BQZRnXBTLL5vUYgINg3FDF6hEvtEUC8KRdkMV9Srq24jerYpa0IPJUV5BMZW4ibTnGR1ncOkNpGkAu+AcuZrL4X2/MFXXMtERfbfDHIj0bSRumd0XFBbY1vCYw78lvLbfVNFbysWbEJ1QYDCvpSVZGmRcFWrSBAUH95J8eDIidN/1xeiqwxZNZ/Tga/SpU45aBXgyMg53t+Xg2r/IMHersXuwGD3Mw8CYDNJkjj7yeAP3y7w/ocKvrraBhVpnwvAcoLLqolrfR4Rgf2nlSyxKcZmyFE9ZlMpYEqRgeFKeYxcu7m+BrkqtFuFYoKrRHVWF3ZvSJLpFi5jYTSqVurWLdbVxHVQq20+cSWI8nLp+k9d294QzgNVLCjrQBULirJhRjTkWEAANb3SSRYk05ZgjZi6gRiuaAaT3nE94DnmUxr5YT3H7Q6Ejv1ycaGtdlgnj530UBsxGmDsxJk/FlKMkUG/DTGcrmgmY2wJZLm+YbqC4YH6JnrTjbNbXGivpukAVLmOOGE/SYYc/TnYMZwDLn9yYQW7wqLwAFLkA4OdVxUOvioAAF/8GfCLf5rgj//vAP/+P8yxmHi5FjiZrIJlknrTsUsGGPnmOI3Xn+YBm/v8nxLS9iBKA1fKdcaXDJvF2ahEihorLW4+xAFTuCYB0uJWFXL98RXA1MSMAs31ZJUayrvQFtf5zbYm0sTWjWdTuIoTLrphwqUoz4wr1xIWlULLcgrAVU8TMljZQqso92X7L/6K8gkQzRuTPCgUwsqVTQg2kcGiDEIZbtGscN13gFYPVM2QHzPucVOcpIdLagJXBqGCaSb/2cAgzcUDrioYZfCqIEN1BT6qE657n3aEXH3DDXfh574PlcenLiy0jhxjqV51NinBJIS9Vxa//lWGX/9HFfa+KGD2M1Q/l/j+b/v4u7+tcHYmyoU0JxRzHwwigTflN0vKHbJoBoMrCg91v37Au+1Kl3gOxH1ts+a6wtwUNqPXRpJIUggRoSxZCpqxTcItmz6GhNFrFVHR0yaa+Ua12rZdk07SYd3rwcw4qrZr+7q000iA9av6FOWpWOlV0ioYxPFNN5pb2kmlWBrvL4ryEPTgUZQNE1cMk1xUCt4HU8CCYawMSpMwWF1Mpfffldtj0PZU1JFt1BjkLcW9EZD2DNIegQB4L94J5YwbM0vbFAiexSqa8kkxTuIxTEspJXF1KMkIiwuP179K8Nvf5Pj6zx1e/4XD7CfG5EOKd99a/OHbBcqSJf50IdeGoxWeH+1Iw5sKC+xYZa4fSbugQ5DrkwkeOb09QpoZeC8KhvnU154L5VwKDV3abW3XFTSvU0tFw96nLDg8x8LVUiQons6IWFHWyYiGbBORKLTNfiNdL5NogB1VtQzgf5xoYUF5ONoKoSgbZGTEF8EmUg32rhUZ2cK7ILsF1zGTTzFI3FapfxyYZzsGvR0Da+VnxVwmWjbtCv2a5+GFF2iUp6O9cvv73iHHlWlXSouOW5E4cvFHArOBr4BXX3r0+jne/ezw4UOFyaXH7MxfeQ5wc//+kTslOLke6QTqYazqyR+5ITMFn4Vupi+AMqRGsA8mvaZRH7SXdaISYdV7GhtWEj1j5JZbXDbwMR9G2Afxsz2H662eB8qnTjuevH28d+Mlt7W9SnmeaGFBUR4B74AkR+0gzswwSei9dTGFQFaz2is/T8VTFBhGNGQKhotAy0iIGof1vH91k5iBxYWXldzOYFEHj8q20l5hHv9pyBc/O/zb/5Nw8IXF11+m2Nsl5LvLRYT9A4ssI/yv5b/kMiSblDMZFd7pfOXOoLI1oHwOk8GnYskcszMIr68xYpOB0Ych21TUaK6Ua75NcDVykq/mxdfXPAOMechkaclQbel9oyILree61Y/dNO0C2lYVPBTlhXHMp3SCw6Uy57XjoJbJMDOW/F8U5aFoYUFRNgiR+CikfYIxIk+rKm712JLEiFGz4hhTIB5zO8dBWQEAJxjyY99gxia2i1C9L2rJMEtPOhmgKoEkZfhQineOUc0ZvytUuqdsN381l2N0bIa8VFSwQ07y0KbgGR9+cphezrGza/HLr1P0eoTPXiWwhrAoPLLM4OysQtWS1N90vVgy6OqqpTrFhb/e+0vu7xq4inH5ztXPqaNvX2jxQawaBTKyL66NfQz7s5w11/ETL14xdToELz00vHDzZ2ybYc+SIgRRLVAw/gVWT+C7vdNP8X291GNEUbYJ77guGNyFOi4Zck/S1lHloeiBoygbIg7ukpyQDZrCgqskhoyoMSNkL47jTzV4P0mWB6n8yJ4EIxJzy7Qf+vx8aA8pWYoK4XFkgqQ4/MAVsmrrnQ5oledJ9GCxWeuGbAj7ry0++yxBnknFL01CYSE1mM4c3v1cYTbxWEy99Mcamcy2i2y1+V/4XzQ0ldUpXpox9/elzajN2fdyoTJhMu0rXop8vc85F+Nygecjl4+0lQFts8W7fIZ2ZG7Eh8SQLtFELaoYKHxnINn3wPK+6+5TeZFlJcRz2s+Kojwe3aJz5CUXkZWPRw8cRdkgJ8mQk55BPpABvffAYuKDqU7zuDpa8omk++3Bb9y2Td5YupOSsRlytmOQhVYHVwHFVHaQuBVDBvQAqnmj+NCBs/LcGRuRvAOQSNow6bcZ4eDLBASgPzAY9C1SS0gTQlkxfv5Q4exDBQBIUgp9/IxiJukyiMZd4Vyx4TFAmBhzTFgJpw8BB19aUCgkFAvGfOLBnkO71vLrmSDTbxcbruO6yfVzaVWqUwQeqN5YWQDAisi3lmqhJhR/5Dtbft/rHOCXnq7XSEVRbiD6x8SLhBYllY9BDxpFuQd1r+0K5/WVj4XI+AcHBjYhVCVjMfESPRYH6Xd4rcegdhfH5gb8S73KHbO5k2TI+Z6ps9tj/KZNwo3Oi4LhzZZHmSnKfYkmr+1VapsCe58l9V2aAOzsSIHBGGmpmi8Y87lHkgDzOcNaoCylEFAWEk8Zn2wsyTWoEImstagnrATxMNnbt2BIgQIAJhceYEZVijqIHcN7ae+K3BblGqkTMgLP7TxeZ3tB97WWCgSxFSIqI7rvxtc8Lz79lpXHbTXo3SQv8TMryn2pDWoBLSwoD0Y9FhTljizJYe9wuT3yp3SSHnK+Q7A2xEwG74C2Yde2OF1torhRx7KFSRPQGvhaid2MkCW4UlpFCFJEIBL1Qr36utoQX1GePe1jW45/4MN3FcjKOZH1TSgIELLUwHkgSwlZarEzMHDhXKrCeeI943LiUJaMMrRcWUvADsCtxtuqQhPXWjGsFWUDMzDYMWAGJucODqJaMAnVKS1AiIK9xZNlRMMrmQnbMtmLBdXrrn9RrbDOgmv3cy/9u+WhcMynNMJy8eC2fdb+btoeGu0ixLbs+03TniiNaMg6WVKU1bTPldg6d62PjKLcgB4winJHRibIYQPMNw8032aHDADZDiHLDcjIBGE+8SLnvyEe7lOhbQrZJc5t2qudJ+khmwR15GZ8IPvtUHUoyiaJ15io2vG+UQOMSEwe8x2D3X2LNCUc7FscHBgkOcMVBGMZzITBQQVm4P13snZwcelQlAzvpXBgDGG+8KgqhnOMcsHYO7A42EvgQmwgEMxRHTCZOpy9q1CG61bSC6qiBcNVd2/hqlVRG5rg3acIEL0tgCbusWucu3TN37CybGSk+PKQAka3ULBKXbFK3fAp33uAVgtLQNtCFOV6uueLjrmUh6CKBUW5I0tX2BuKCnEwSgZIe4Qklf+cYxRzhiuen3nZXWgPXGPvcLeoEKW99Vi9o0CIRoyxYr70PEX5xDn2ct44z036QGslyZWM+aWHscCr1wmy1GA2BQ76jP5nDjBSFEhzjzT3yHc8Ju8TABYEAoNhDWFe+Lp4MJk6WEOwhtDPCWlGSPseScaoCoOqIFycGVQVY2pcHUlmElEvFBNgVDZpBDdd1zY5UG17VcDffsGoY9lo+Wfx73GFu53WMDJD3kSbWLtFjMK/77OvblRA4GUWFQBcWTqLLSaKoqyA9PRQPh4tLCjKHTkKg/52bFibEQ2ZrPQfJz0ZoAMIpo3yhCQjeBfUCluSGbzUVwd8VG9dHKSPSAbgY79cXGCP5ua1Yh/W0l+DxijtEyzCKMp1xAl6Y5K4/HtXMC5/clhMpCr31Rcp0pwxeFUiSRl2LwGXDEoMcOaQ9R3SXorLnxMYy8gHDv2SsLuwuDxnWAP0coPBDiHJGINXFZI0GjtWMJaxN7XIsx7en1c4O6tQFKJUKBcMkwAgwu/pkJmBtzhkX95u6LhuoleEbDdhjJsj08YdBRrR8oT+mE8ppmrIG2zOe2apfQHrH9x3TSJfDB2PCi1QK8oNtM6X52Ksq2wfWlhQlHtwzKd07aiPpHCQ5FQ7psd4t6pkVMFUzRWPG+V4Fzp1hXvTldC1X4tb8ZDtnuHrigUUiwphw8hga4owivIYXJkItqqZx3xKYzNk74CiYPzh2wLeZyCbIs09BqiQfCbZlekeY/ZOWiT2Pq/Q369AxChmFuXCYOc1ML+w8I6Q9T2S3MMm8j5pzyHbAbj0mF0kyHqMZELo9w36faCsGNNLj2Lug6Gj+KHECN3HZkkdxbf7sRz5UxpXonIgA7DjK9e+43Yxed0bjJYHTXdlfQPv1ealFGpXeVQoL5duce2lnAf3Qs8W5SPRk0pRPpIYpdZ/ZWETQpoSqqqJZXOhtzn28FYLGcRuS/9a7O2NPNSkbGyWb9oP/XxR+VFvj9MBgPJd3zwFAAAgAElEQVTyiOdlLe8PF5ToNzIyQzaW0N83+MWvMvz6zwz2viix9xuA8gT2VY7qhykAwJ0VEtuaGJg9KToU3xWoKkIxtRIxy4RyLu+180piLPt7FZJf7cAMUiz+nzN89+/7+O47icudL6SdYnLpUBYsRYVKttEVDFdyrTaK5zShibMF1n9eR0+X+0bmniTD2ljiMa/NXbXYQz0WFEW5HU09UJTNo4oFRcH9o8RGZsjGAPmeadzRDZCmBGOBzBCmIQM+Gp5Fp3betvz2bqTZAyvW7Zf5WMnpUdXpdVaUF0a8RozRtBPVRYVwTnjHmH5w+PuLOabTFL+9zGHMHIMvC5hBgvSfHKD6xwuY3MDs5yAD2K93JH5yZwEAcD/NMP9Zrkv5gFBMDRZTi96OQ/LVAMlfHAClR/YXDvYfKvxX/02Fi28J5dzg+3+02N+1OL9wmEwcigLwlZg6kiEwM8ZmyDYlmASwqSi4FpdySv/eHLKv1hche+RPacRXjQzJXF9oGNumqAA8nlx+VQvakU50FOVxIE09UJRNoCeU8snzNj9km8rKd1VwPQNuDzSvKyyMjfT7i5kgId8hzM49jBUfBZs0MtbewMJakScvZh7FhMGelybqL8GV+qVEmSnKU7EUDUaSItE/MPjiyxT/5J8ZFDODz3+zwOBrQvLrXQAMJAZkjVyPDOA/SGGh+mGK6tJjMUlgU48kZcwnFsYydn5l0Pvv/gUwXwB7O8Aff8Ds//i7urAwPUtQzglZj/H+vcfl1GM+95hNHIwlTD6I2SMZ8YqIhQVjKKgkGP0di+mlQ7UIMZmh7Ykdr+V6GQsLRLg2XSaaJ5KhR1MsrNPbRlGU21HFgqJsHj2plGdNOw4sFgriINGmEs02v/ToFhayHdOYKAKw0WgxrGy5gvFX829oVWHhN3+eAww4z5jNPGaz0GfspHDgSkaS08rCwra0PyiK8jypFTzUSOfjNcZYoLdv8C/+68HqwgIR3NkCKD38vILZzUCW4CcleFph9o5XFxbSBPj8c1C2A758B1xMgHcf4P6/n1D8zY94/4cUf/w7c6WwkKYSbek9oygYWSYb3csNrCVUjjGb+iuFBZsA3osKzElXxoMn/GM75Hy3MWCoFnJtX3rMPVMY1kEswLZ9FkzabIIrWCc+T0gcR9wWK60oiqI06MVSebaMQj9tPIh96MV/m0mEWNIjDPYM+gMLgmSyl1UwUfSoNa9JSpicS4Xh1ecJrEX9OGMIgx2D/V0LYwi9jOA9MFt4TKYeRSGFhcXUYxELCYHaPCyM/nWQqCjKx9JuDapNBTvy/SQnHHyZ4D/55zle/bLA3lcO5iADpRbu5zn8zMO+TmF2M/izhRQXFg5+5lAV0t41u0hAhvH6v+wh+aevQP/8z4Eslf8uJsDBHvDH78Hf/ojy370DV4yz/+AweZ/g3ffAzx+qWhnmHINICgwgYG/XIkkIaUJwHpjP5VrKLH+fXXq4Qq7TxgKulMKCSQiuvN+Ee2yHnGRUF4/ZA8XEb12R921+uPwtMvC74put2sZtIfr5bOo7HNtmwcJvW+uioijKFqMXS+VZc5IMmaLpVviZTYB0YPDqM4t+z2B/N4HzjPML0dhWjmEIsmIWzMYGfQNjZKAbpbppQkh7jKwvFQIiYPrBwnlgOnM4O3e4vHSYnnuUM7+UfvASWh4URXkalooLRiT8YEmdAclKf//A4le/yQAAv/oNId/xSDKP/q7DYmZhDKMqCXtfObgZoyoNXEVgT6hKuXSVcwObMgb7FfJ9BqUGyV8cIPnPfg0UJVBVqP7vHwBDcD/PcfF3Ii+4+CnDH/5BrptlJdfGJCX5M5HX3t+1sEZUC85x/fP3ZxUmE4fpxKNccB2I4R3Dl2IQeVeTw7GV4rPNJKmHPVDO/ZKHy7YwtkM2iSoWbmJE4tcRDwAf7t/rvt9GE9CIFhcURVHuhpo3Ks+SsY1y4OWigvxMBtaJJeztWFgD5LkBM7BYeAz6BnlmkKUEm0rhoB5EEMMYRpJLr7FNGQQGgzD9kKAoGe/el/jwwWE+8SinMniu/RrUZlBRlEdiKWKRxCDRV7LSP/3g8PfzOV5/lSD5LgXB4NVBgumOR5oxyoVcOy9+SkEEFDODJPdYTA2ShJHkDGMZxdTg7LsUzjMG+4wvz38G/uZnpPsWlFmwZ/jzAvYgQ9bzmJwlmF9IRmyaENLEgsEwRNIKAdRtYwxGlhLyVwyQtEIsCoOyktYJIsAmhLIQY5zKMjAPng0p4a/5kF2BlSqGcTJkY8L7VYAvGd7x1kX9RtppGZtykIz3zfskZgDb45tjW60iIMDmBC/CGIzdGttZWq/CfDUOVPn02ZZjXlGeG3rSKM+Sk1Rko+KJIANSCoPI3p7Bl1+n+PLzBL0BYzE1WJQeZchXTxJCnhLSDMgGHmmPkWYeNpOiQtoTZQMzwVrGYirZh+c/pfj+j8C33xa4fO/EXOwaMzBFUZRNM6LlVW72MnGOiob4O5sC/T2DJCW8fp3i9b6FtSSRkYYwnTlJa1jINbKXS8UiSVBHS55fOGSpQZYRvvgshbWATRlpzwMMGMvwXt7PFaJ68JWYNBalR5IQrBFFWBWMGauKsbNDMAkjyeS9TcK4+MnicuoxmbrwfEax8JhPxcsmyQgESMxlIc+L/jm1IW9Io2ha5ZbTJ2KyDyCfcVsLDuuie6x4x7euwo9Cy0HcT0+9cj82Q44+FNEPKRZjvJPjYF3bFz0WwHqPf2l0k6i0wKAod0cVC8qz4yQ9ZGMASiBySBZNQfQ3KKYelWPMF4y8T9h57VD9ZLBgKS6kiUWSEoik3zfNPLKBFBNswuAwOJ5PLFxpUBWEy58TfP9jie//VGB+tn39uc+BEUnfqu47RVkTJBMqY8Nki8JkMEywT1iiFL0D5lNGmgEfTIXZzInPDICi8HBOEhqKmVwTe32D/o5BkhBcxZhOZVJvEw9jgJ9+LNEfGDgH5Dkhyw0SS+jlQJ4a5H0g63v4SgoM1hMMEcqqEZo5x1iUjMlPHq/2LNKK0Nv1cBUh6wEDNuj3DCYzh7Rk7AwMFgPGdOpQFiyqtEwKFd4xEoj/AkKqRN2WhsZ8t70KGdM0gCAQcI/0nT0Rxi7/+64TcGNuf8xt3DfO+SZ8KV4b3Pm+yGCtLS56n3qZaLy1onwceuFUniVvs0M2KaSw4EKvJcsKXb5r8Ns/z/H55wZkGdMLws8fKhSljKQTS9jbtbL6lhL6Bw5Z3yPrOyymVgbDBeHsHeHswtVKh+nU4fJM2h/uKyVVFEXZFNHMLhINHevJZEvLneRA2hODxnLBksbgGBTSG4gI2UAe3w9pCsWcUcykZcwEHxoyIW4XMkFPEkK/L4//4rMUr792SDKGKwjTM4uzcw8iIE0Ik5lHVTGKUhaFd3cs9nbkuVmv2X5XkjyGgLJknF9WWBSMxVyu5a7iumugmEurg1s0yoTrTPhGZshJunz59h54U366ZolX1C13SNk4Sa4eVw+ZvI/MkOOT1hUhCoTjm6hW6nzMaypKRBULivJwVLGgPDtiGkQtg/QiYx3bIXvHqBYeH84qvH6dIQlHuGfGYsFizpjIypnzHvMFsCgIvTwFkCLpeUzOCbO5x/sPJS4vHIqZhytQr4wpiqJsE0de2h/iJDqaG76pYvyuFF7JQAqnC0a+Q8gHhKxPmH6QFAYyolxYXMqEvZhKq4Sxwc+BUbce+EpidZOcUJUeBQjzmcerzxIYA5QzA18xZucWP/5coix5SVJfVWLayCwpPGVl8dmBRZKHn82pjpw0RLA5gdkiy1jSJVja2owhlGVUXeBKMg8j1FVal+5jf0onbsi1YgGNEeCnDHsp0ty1pcE7gGw4ntoeEPegW/RaxyStfo3q/r3wIzNkNWJUrkMVC4rycejFVdlqrpNQjmjIMtiV1QofZJFJj/D5L1L84qsUr74AqoJwfsb4+X2FxSIoFhJCr2eQprTkuyADXI/5zOP9jxWqeTMYB4BoTx5X03SFRFGUpyZeI8nUlyhZFV4xeard7olw8JWthQyX7x3+1eQbim0UNSSvSSRJOwBQzRk2DZPMWCgoAZMAaU9e8PUXKQZ9g72d4E9z4TBbeEwnDsZQHUNprUxy85ywvydV4H5PlGSVY5Qlw7OoHAAperw/q8AMOC8DmGgIWTnGxbnD9MJLnOQt1+exbRUWwj1EVyZX8zGtDO2CF3C3NI9NMLYhUQJi9qn3b+Um1tm+oygvCT1hlGdDHKDEgUn7wj+2Q077cji/+iLBb3+dY3AgruaLicH3P1S4DIPa9kFfljKOdmG1qiwYrmSUM4avuOnPxbID+3MxbVxVfdcbpaJ8WkQz29gXcJMZ4YiGvPuFRZYv//rnb6umVYCCcR2kqJDtmLqtogqKBXZRAQF4z3JttdIWMdg3ODiwMIawWHg4DyzmHlUo5PrQemEskGXi5TAYGFhDQWVGWBTilZNnzYU3z6guNsxmHnlOSCzBeUZVMT58cJhdOJTT22X+yuOw1AaBpysqAMupEq7QY0RRFGXdrMGWR1EehyjHNUYGCsd8SnGSbBNCkhG++GWK//if5fjyz0sMDioUU4PLS8lIF9ksapfxyaXDbOJx/q7C+Y8Ol+8dFhcei0uP3xXf0JE/JULMiY/xaAhLeFclnk+FSvcU5eXyNjsU9VYoujJulqwf8yld/uRqlRcAXLxzyxO+Ttxe9LJhBpKU4MumFY1ZigkmkYkbGWB67vGnfyzx3bcFPrx3mE0cXCUeCFUpaTquFH+HqmTMpg6Xlw5n5xXOLx3en0kheDrxeP+hwmQiXjcfzkT5MJk4aYcAsCgYVQUYQ9jZMRjsW+R7pp5M6vXxaTn2pxRVNE8Vx3zkTskupac8j4UBRVGU54Z6LCjPnrfZIfcPDF5/nuA//S8I5dwjH7hawjudyGE+6FtcXDoUC4/phUc1F1VCPcAoV7w4df7OIseNPHXWcRw0q2xPUT5dbjy/Q/sDWYCYwMxXPAW6HPMp4U/y9//l9V+yKzsPbkm16lQAFpXCYiJVC5NQXcCIXgYevNSexl6iLucFAGa4slF+Rc8G7zyYGfOJlxaHEHlpc0LWMwABHy48kpywe2DBzLBWlBCLhYe1hCwj2EQ8GWKxgwzhxBwyEXDCh3wXs8KXTrutZp0xi9twX/qrxTf0Nj+s2zKe+t6tKIryKaKFBWVraa80RcVAvSrHzcDAVwzvAWtkjPD1f+7AM8b5Dwk+fJficupwflFhPmNUhYerooT35oHmFUVC+Fc7xuypVmAAXYlTlE+Rm87rmwoMPigB7uu6/9+//zdXHnvMpxSvbSMecjGViX37eue9vB9BigzeMeAJ7Jf9DWpfBwBkCQjeDK6Qn5Uzj2OW1rb4JwD4KaOcOkmhCM+fXrjan4EMMDv3SPsGi0SUFGlqkKSErCfPkcSLu+6Jl0tsMxR1HtVF9LEfcmx5eYgnwWNP3ut2yWvOAR9aH9W8UVEUZTNoYUHZWtoDg5FvBqcRIuB/PvhLznqE169T/OqXCQb7c1RnHq4kXPyYXjvxLya3r14defFu6P6cn9F0XldkFOX5cNdiYf04CmkGUU2F9Z/zx3xKcACmnV942Q6GtDXU0ZYdjvwpjSATvrAQDnhRfh1VTSHhOuLncyXXE8KxHXKSr/6YzjGSlKRloy+eEIupR1Xd62O/KKTnT/4Si/hdxnbIZOhOMZVtRtSkOK372LyucEEGGGPI3fdUxYqiKMpm0cKC8uxIMkLaN8h7hMHAot8z+Px1gnYV4eJdhssL4MefCpyfORQzRjH1V9zSb1tR6a7SSHQbQkvEBj7cPWmv8GkRQVFeECvOdiKZAG5iEncb4tnAK9/3eEWRNj4oPr77500FhyN3SqOZTFirwiHJxGNnRh5pbsQI0hIuLxu5AhkAql64nhDV6blRLRAASpa/zrtOzrvf90aOx7bXETc/i//We6KiKMrjohddZWuppbFmyEkqOeZxVay/Y9DrGezsWOz0DfLMIN+RwkFVEL7/ocKHDxVmlx7lXJIeYj9we+C6FNHW+f1N23WXx60T7QdVlJdBd0K9Kmq3/gc1cZBAY5DXlYJ3E3U2ta3XbfOmtqN9XTxJJE4wGxgM9gz6PQMiwvl5hbMfHN6U3+j18wZiEgghtKxcw10UC6Mw2V+KmVxzsSvev+vXj62K8X8rzgNFURRls+gFV9k6uoMSIiDtG2R9MehKM0KvZzDoGezvJTAEmITBTp5wOfU4O69wdlZh8t7DFatX0cZJE4MV34w9r9W06mPQqEhFebncVEysTfbibymsMkOuYW1l1tgMOU4U2fODeuVv2872v5/iGjUyUlQwBujvG+ztJ8gyqvfP+bnD2U+VeC48gZrjuXGSDjkOD7mOQ7pfcWBkhrVR4qb2ea0gDBw5VfApiqI8JXrhVZ6cKJmMg4+xHbIJA2FjgXRgkGaENPTNAmLUuLNjkCYEE1zIHQOTicOiYEzOHaZn/sZVqiVTMRPMx4C6sBBX1yKPtfpxW8+xDpgURVkqLnQLC+FaGou0prUCve7iQvt69ZTXppP0kAFJodh9bbG7K21y84XHxYXD5NzDLfhW096XzoiGbCwaKR+AN9XD99e61XZtZUWbqFjQ+6OiKMrToRdg5cn414ND3n1tUVWMeYh/JEuwqfyejPgpiErBIGa1G5J4sSQhMANlxfCeUVUysqhKxuzSo5jy3QoLrQEUt1Zmosw48pgrXfeVGCuK8rJYSs2hJsYRwFI6RDTdk1/wvSeJm2jDipNX5oelDax8vUQUCiYF8oHB518kiEOcsvSYzTwWM2mXK6eM6hol20umNmgMqhdguxIUrih10KQz6XepKIry9OiFWHl0RjTkL38r1YNffJ2hqhjv3pd4/30FXwEmkUFy1hcDLhssRl0VZJlArVwgIilMTHzdxuArwFV3W5VbWv1oyTaB5YG6/OJxWiRUsaAoyl1pRwUCjV9M+zoxtk0M330m8ptocxgbKQJEXLmeCX7tmWOkwNA/MNjbt/UEeTaVCzszYzFlLC69XktbjJMhm6h6YWytJ8XItFoYcb2SsKuEfLQNVBRFecFoKoSyca70PBJgDOHXv8yQJoTpzIeiAWAzwKbNGKAdfVVVjGLmYSzBOVm18M5jfu7h3cMGDzGvfURDRkdKuRRx+YgpEO2khyvbqiiK0iJew8Zo9ZsTMEKjNHiIKuCu0ZfXPXfV9WpEQ+5eR01CQPnQd2qIsZhjSOGiKhln7yVjMu+L4q3XN/AeMDYUoicf/76fCuwheaBo0kXW7cexDo79KdVJECsYkfhtxIhL3/KIUBRFUTbL1t00lE+LuFIGIvT2CHnfIEkJn72SmtbejoUxhB/elfjTPxYASWEhSUSNYBOZ0JcFY3YuRoyADEZtBsAD1WIzPbNRzRB5TEnotvQtK4ryPKivV2vsNb9vgbP2dDCyGbyi4LspxUKXsR1ykhPyHQMiYHffopcbzOYe86nH+U+aFNGm7W3E/v4tM49J+1hfdey8zQ/ZhCKJ97jWwFlRFEVZL6pYUDZGnWNNhGyH8OXXGfZ2LeYLj6JkGAPMFh4fzir8+KcKxkr7QxKOSh8yx72XlQebAq4MKxZuyNVss4aKcSXwKdBBkKIo92bD16vbrkuEJqpQ5n1XN+jIn9KoGtYTv01x5E7ppDzk6QeP3h5hcuFq5ZlJCNmAML7czlX5p+DIndKIw0LAlq/wr7o3x/STrt+Ir7SooCiK8ljoxVbZGCMjKyDZgPDF1ym++iIFMzCZObwPEtViwSgW0spABugNDPKepD0wM5wH5sF0q5hyrVjQgYKiKC+Vm1oNgPVeH+/zmjGZoWaFWeQmzCBv4m1+yGmfkPeMTDiDAq6YS0oE8HGpB8rjESMs23GqwLLaAgDIymIEkShi1GdBAW5XuiiK8vHoiaVslCh73f/S4ssvUuzuWJQl44d3JX76Y1knPSQ5IesZ9EOrBAAMegbzBcM5xsW5w/TcwRXbLdFUFEXZFJswU1wnsZgMAGBe8r6pYwwBgGjtsZc3cZLIaraxolYwweTRWKCYMYqJGjluO+14aGDZiDT6KrTxjmuFyrZ8t/EzrCsNRbk7Y7vc2sp+uxJPFOVTYcNiROVT5i7mXtGoyznGfOHx84cK/9ffTPHf/u3/Tr5i+CoYLDmgXDC8B8BALzNgBrxnlCVjMZeYsMcyUFQURdk2jvmU2pOkjzFY3ATH/pTelN/Qm/Ib6q4SH/MpgahObaBHHNK/qU7pd4tvqJyJ6o0MkKRAlhMG+wY7n9umdU/ZSq58Oa0fHPMpiTJBoqfBTeTqtjC2UtyK54Aeb49Md2/r3leUjaAeC8raqWO/SG7urmRc/OAw/eDRNu0CAJBc340NxYeZh7UGRcmwFjCWQIaR5oRqoXcCRVGU65JjNsVDlBIrDXWZ64oCsygcHnPV8JhPabQQ5UTSXuHmxy10KPfn2J/SCI0HxE2Gza6S4hGF+MwTHvJjKR1rZU5HlcN8s0T4Xw8O2Yd0rCQXE2tXAdXs4alXSgMzQPEqtkUqFkX51FDFgvJgburxXYWvGNWC4SvGSXrISY+Q9ghZn0BEywO9gNyRAWsJSab3AUVRlE2x6vq9qQIGB3XaiIb8mEWSYz6lfzX5hi5+cpheeiymHuXC6wLmM4cMRA1ABImbXD1eiFGV6z7mRjTkt9khp4PV73vsT8k7UVWwk4LD2Az5971D/p/2/nLJI6JN0hdvkG1TJymKoqxCZ2rK2hnbIbdv6t4xbFupEJQMSS6FBSJZPUpTgg+GS2lKMJZQVWLuWJUhbrJ8vL5cRVGU58DHxtOOzZARjA1XGd2t29vhvjGWm2BkhtzbNyinsrrtHWTCp33XD2bdxpxjI33xR+6URkaSRFb5E9QqyXYxoa2O8c3hFs0f1+2/MCKJNyUjySi+FI8R71jUFhSMJyED73icvc0O2eYkg3ES9WYSxkKuZFQFo5prsoWiKM8DVSwoa6crKSWIV0LEJkC+K0qFJCGkGSHPDWLFviwZ06nHxXmFYuHr511po1AURVGWGJkhj8z9VQAEuXYbe/Pq6DomONswSTr2p/Q/fPg3xJ7raOOXvNTSPmYeoiJ5yHNHtPpYHdGQT9JDNoksMIytmDOSJZiE8DY75G4xTRQw4UetP33V2ZTgcYBOLOXHYlMKJ5H8Ox5T8ZAikoKDsVSPvGPhpI2vxFC0js0Mmz8yqlhQFGX70cKCsnbeVKfEQfLnK67v8WSBpEewmagUvGN45mDKKDdSm8jqwvTc4fKdx+V7h+mFx/TMo5x6VSsoiqJ0iBN1Wp7b3Im42htZtYq76ULAUxUaxmbI3NSuQYZe3ARuREMeJ6IGMLZJLriP58RDWmjGZshkZfLcfa9jPqW282K3TeC6Y/RNdUpxzEGhLcIkzUtF09BawXDNFj6ksBJjLdlL22csahxFtUL7M7AoO4/8KbmCUU49yrm0irpS/ptfeszOPFzBsJm0gqrho6Io245O0pRHYURDTgcEmxDSnGCtSAbjDT9JSBIgCsbsQkZ6vmQwNBZIURTlLow7k+K7Sr2jzDw+Z50F3DhB2waVwirarXuPGYG5DcTjJUZxxhGhK7ie7Ps73n/v2y4T228IUjhglsWGIycT8XZ8JPNVdYFM3q8e4yMacrv10nuZ8AOhgNHeqhUmkG0Vwaq2oBs/k5V2h1oBg+b5V1pEq6vtDSfpYSuSNYyBOKghAtoOqijKNqOKBWXjjMyQ055IANOckOUGWU9aIJJUmg6LQmIly0IGAdVc5KlH1SlpUUFRFOV+3Kt/PHgreL+ZokL8+zYa0B25lqmev/3xnxpkAJO0lANhImszWe2PK+U3fX8PMv0M6hoTWwgCYys+DTE+klm8L3xUBLhWe8OKI/WYT8l3PBViTOuRjy0Tcrzf5qdxX9PEIyeqifa2XHnQqvaMwJvyG4oG1y4srLRbQNdd9FMURVk3GjepbBwiwFUyeGEGqoqDTDEOZhnFQgYO1YLxWLFQiqIoz5V2C0NcXY6mdPdFpOdr27Sb32cLWVfxet0ml5tkFBQDDIAdYLKWL4BtHVM++gM0SR5d6vjTUJi4y+dmD8DIe8f3MpbgSm5e0w35mL9pLfPLH+2WADIAWgoBQM4D73mlIuGmYz1+huiHIK0NfG9Tyq6CIn7eI/cN3fZatZIzKkYqDrHbzett83GlKMrLRi9OykczMkNeNZionZpJqu5pj5APDGyUXQKoSoarGNNzD3YhfxoydlGlgqIoympGNGRjQ/95LNI6rosLjzH5uK3NYRvSHx6T51RYABp5viQqyCQfLIsAiOkJAQ6T99iuEH8e0w7iyjp7ho/Kj1uOw3gMxxYBF1byb7r3X/EEuUe7Qiwc3Pb6xkphIbZatNsWYqsE8+1jlJGRfQPc7fGRsW2KNOxRqzs0sURRlG1HWyGUBzMyktts06ZQEBnbIZtE3JfjgMMmkgLBLMWE+dRjdukxPfchmolhwgDHmGZVYmyGPLZD7vYPK4qivETqoq1tFl9j3N5jzTy6bQ53ec62T7Q/hge1A2yYG9sX4qSXuW418E7+qwquCwnSftA8r9suUn+nQdWQ5NLiGL/oVe0w7e16U52Sq0T+f+xvb32MCRD8gLhIMlKIO0kkjWJpf5CMM8SHIagVwiNMQo0fRTjPYlrFde81Illwqd+b7p7scOROiV2raMLLRR5FUZRt5ZO9ySubJZoxRriSlYzYxnCSDNlmIR7KAGlO6A8M0tSgKDxmUxmdFFOPahHivkgKCvVrhkp9dIRmr20SiqIoQGO4SLbVVhYc8Tc9gb+vEuGlyLe3RbFw1+8nJkAACHEJLZ8JaooIJqHGzHGFYsEkBJPIvZoIdTtDfH68d9etBuG5HP8XZYo3bGv3s913395mnhgjLeUzNs8TJQfX20u0/BpxW1ZtV12owGp/hKj2uE6hGTedKnEAACAASURBVE0sycg2vSm/+eTPIUVRnjeqWFAehEkIO/sWr79M0Nsx9Y0PkAGvzQk2pVqBkOYGWWaQJECWSTvEYurhyvCCtCLeqpXhDMgqgcYtKYry0qn7toNMO640P9aq5qpJ3U2r8y+hqPAckSSGkLoQfAWimWK7z1+MLUN8YmdyfMwS8egriY0G5HlkmufXN/e2T2NYSIhFi/gfqDmWRiRKxbERhYMUByQW8yS5uxnoiGKsaMvUsTX6HZumqBDbQuLJJAscsnHdg5iMfP6TRJ5vEokrjdsKhH0a1Jvt7Y3vaRJaWlDp7tu4H00CvM0OdfyjKMpWo+aNyr05SQ/5qz9LcXBgQUQo9xjvkhJn31eAk8r7yUIin7Ie4eBVgv09CwJwOfO4vKxw+bOrBzMgaaXwTsyWonnRkZMbdnzflxYFpiiKsoooj24bwz315P2p338beG77IK60R58FcFiVNwRqVam8A446sYnsGEe+USGwZ3BFcCQFCDIkho/BnHFshswMcKuIUL+vJXmOlddlBka+iX0EWrWJB+zh+nNSiLkOCSiRI39KJy5EPYZJvAumlcZK8cN7RjUDQFwrhI78KYnnAjWFkvBZgMY7IppALtH+bEbaM7qKzJNkeR9clyahKIqyLWhhQbk3vpJoyAYxX0QYPEgLBNDbMdg/sOjlJuRQE9KEkHbyqVsvI4OX1g3/TXVKUU6oPYaKoihCd7X2sdsN4nu9lDaH50Rbmn8TbYPltoGjx7KvQvx+32aHtbQfCWFcDpseAZYWiCVjxbbhYyhCHMdiRPBSiu9rLMFVzXNXFRBqZYUhMAPGMsZ+yLeZGtYtB9xsk7EAWu8XJRox+SLtmxC9CZQLaRFJckI557rIEjEGQNiPUeHAzIDnusUkqjGuS6Rot1+MzZDFPFKUICaO1A0Av+rZT0OdBBJQw21FUbSwoNybtE/Ic4I1hKpivHtXoVowkpSQ9Ajl7Oqdc1EwFguHi3OH6bnD74pv6tUPQNQJ1w2EVKWgKIqynbyUokL7/vQcPvNDtjG2JkZPAZuKOejvk0N25c11inoiHCfIjmuPJDLAmIe8anGAWwkSxgIeBDjxPWwnInQxBmAWb4ff45DZNQUMQFoyb5rodrflTXVKqOR7zndX9yZ4J0WQ3yeHDArFAJYUDHPL3o7qjBM+5KjObHuiXDf+IQKqBT9a0svHoEVGRVG0sKDci5P0kL/4ZYokWXHvMJL8kL826PUNiID5zEsx4cLDFZIGkWTNc9tFg6c0utKboaIoitLlppX/hxoJbhPMISKyakySu5ABbEbwJcsMmsSwWYoBtGT0uPQ8AmwiRQdfyUR87EPrRcvBMUaktlUK15oa+pA6ZZuYzKXVfit+CoRm4UJSHMLTKyl+XPedHfMpncyGnIQxjKsAX6L2nbDJ1UqHTVEbUAOAzQD2JOqPiutkrKs7SJ4ygoxBYlJH9HtgltYQgrSQXKd2UBRF2Ra0sKDcC1+xJDrsGJydO1SOcfZdVRs0EgFZTvDMLRmkPM8VYTWhuvk9HosYiQkA46pRTjzpRimKojyA5zy53Wa6q8lkgBNzyDFB4Tm36NVeHTxk+EauT2j5H0QcgsQfgG+MQtlznUwCQ7AG8F4mwzaXWMY6/oG5njSTlaIEexalBDc+S1LsuH67j9wpjTFkYoIJPgiUAlQRXMHhA8hjyRBsGraVxS+BPV87SRd5P8EtmrYOiXZtCh++CqbUGYW/E8gz4Ju2BY6fkUJxIOyH2qQSzeMaD4iwfdxKyLKhosCNT8VWnuvP+DxQFGV9bN/FSdlqTtJD3vvcIssJLsglP3xXSSU/JWmT6ElKRFXK4GN25mv38m26IY7NkE3L72GV47WiKMq28xCZfuyP1r7o24n7SjwBmhXraMpXhyHQdhhpPoS23wIAMVVO6r+G1AeZxItXAdfeSdGj4YqHQJz0B7PHqpDHJTkhScWHoFpIYaGtlIgtEO1/154eYVU/FiCSPJg/h0KEr8K2ofkstqWSZA/8bnFzbOOIhhwVDiCCzcJH86K+YC8qhG57SCw42FS8HOK4Bwj7wEvbRPvNuf6fjKFsitqjQdo7IDGgQdVxm5+EoijKU6Jxk8q9eFN+QxfvKpy/d5ice5z94EBWoiXJAK5gFAuP2aVHVbDceOuVg6fd9i5L8sQo6VQURXlmtCeydzHtEym5TJTvE9u3CUYk7/+U23AbcWWfW7L9egId7h1JGmMFcWMscvuztj/7U3/+Yz6lmJYQCya+lHt4tZC4ybqo0FJqsItxp7iyah2NFr2T14gpC75iOCeKjzo9guW9Y0tBe2U/Ht/RyFmeIwUFV0rBgl2z3Ud++fvi8Jni93bbvj7mU/JOfBdi8cP78HSWQkg543r72MvYhz2DHcMVIcbTN7/3lbzG0naF7TnmUzIJwaShuJAASdbEcIKa1pGnPk6eK7rfFOVx2LKpnvIc8BWwuPQoLn0TfxT6D10pCoVi4rGYMBaXvrnZb5kawJXLcsjbzKkURVGU9bEq2eKptuXBEEJcgfzVJnRlgh0ZmzgxbhUfqPnvqT//MZ/SsT+lOBn3TibsR04m2q7kMEFvIhcByGQ5the0JvLeifEgVwBICgzsG2WHFAVC4aJTrIkQiUoBwLJCojOaqNsnePmzHPtTckUokoTFjrsoSuJjjqpQpAiv7QrUVYH4uhw+V/zMruLg5cBNcSF8FpOIEsQkAKh5n/o1WH4eFSLxw8V4y+eohnlqRmbINiW8zQ45nncjM+R4XCmKsj70AqXcm1qKiFBdz6iuyMeBx6oVtG28IcYbi8qBFUV5znQnpdddb5dk3oE4adnc1q1m1UR6G+8TbcYmROy16tI2bVaUo5Fgt/Uv9tDXhQRuTRwjrUnx5j7BwxkbiYmsJ9pY9qAgCukQwPKHI6pbHSjEJ0QFY7cFsduS0T4246QwqgvbLRk3tfXc9dy4jbhtsYgUCwHd17tyXIfvm0zz+eNnr/0VDJD2qN5/zIAvpUDBvmmZ2NZjY1uJRQUyzYRHYlHlZ7HApftVUdaDnkjKvRiZIUdToehPkPUJZAhVwSgm/tn2mCqKojxH7jtxGtGQyTaTo6fq236OhYU20XsBaGIV2TWRi3X7XzRErCfd8oeveFnc8ISFhfv4dFyXpBSLJ7XnRLtA0FIjxL/GQsCq44Bau6pdMBgbmYRHhcNjmRmOzZDrSb9vlAjA3d5/RI1ZdISZRRGBZt/Vvk/cOT60qPBg3maHbDMEs5DgvxF8P7yTNhbdt4qyHrQVQrkXUSYZ6e0YUJA4So/hcj/k2A75JBnyWCVniqIoG+GYG4n0XWXe0RjuKc3gutv63Ab30Xvh2J9STD5qRx8CEANDQ3V+4lIiQNuv4QnvkLe1pHQ9IG6KaqzHB62CQteXIj65fs3aS6DxVuDw3K4K4chLWwbz0+2y2I7RPu9u45jlGIm0iwrx97VKISoVNnBsPHW7zWMzoiHbVAp/xkgrik3ExyLrG6R92jr/L0V5zjyrm7jy9MSVLmMI6UAOHxuq+FXBWEx8PRA4SQ+5kYdun8eCoiiKoqyLbixlW6lQRw4C9URxScp/A5suuFynHGlP/AFcWTVfKfnv/jO0AQC4svq+1B7SJbaLbIkC8iQZclt+8aZ62DaNzJCfQpkSF3ck9lIKYNuwX9dJt/gVjy+yhKRHSDKCbSWIgIFi5lHOVLGgKOtC63TKvTjmUzqqpPJeThm+kqJBGdogjlu9kO2VGWPpxVXKFUVRlJdDXMGOCQtR9i/xiVQb9AHRbLCRuhsbjf3oijHhk6ZGXDPdWio6RKUBWv+1vCSu5isK3clc/NzxtbaJGPsYeej3ceybY2Rd23Yn2v4X3QPsE8JY+W9sxVsh6RHSHiHriWKBuVHFuKAg6baoAC9P2aEo60ILC8qDiIOiYuJRzBjVfHnV5cgtt0x4pxVhRVEU5WVQtwXEqMHQz92kBYR5ebwrUjtecPVrPtZkZ6mtpv2O1NkGWvqjxiQk0vNQKIkPio+Lr9/9PLX0v/WCd5Gpd2M7N7GfYgSlr0St8JzGM2IOuby5XQPX587YDDnpSSHBpIS0b5DkUlQwSWM26sL5VxVNake7RQVovFNG5uljYBXlufFsLozKdnKdiVObcTJk9pq8oCiKorxc2ukJcTX/yJ9SlNnXrYPV6vaIJzN1vK0VoqMwMAnVKobuxK1rtthuhwipnUsvdpdWiNo0sn7S85L5x7QLMrSxaO6RGbJpJXY8tJVjWxnbIad9+UjGSkEhHhAuxJ7G47COPAVqA9B2QkdXYXPfY2ldKSSK8hxJnnoDlOfNXS6YR5/YDUxRFEVR7kN7shFX5uP98011Sifp4Y0+B081ObmiWlhFaPmI23jimwSEGAV53WvE1+8WMLppENcRJ+UggBi3+lXcxl0WS9bJ2F5VE2yCY39K8Lc/7jkSI9CrBWBTABYo5wybEpJEzMW7MEJIhAfA61PUqsJBeeloYUFRFEVRFGVD3GWy8ab85tqkhW2drNxlMsYhviEqFeJnuUvKxG1FlXXvl1oCT2Kw+BgFBlk950/a92DTXLfnqgWjnHnxAvNyLJpYxGFpi2AGTKfd5tjfXNC7qfi0zeerojwGeiVTFEVRFEXZIC9NHj02MkmvfRNarJp8HfMpjcyQa9HCLa0gV6Iq8XEJEnVLRuv9H+s7iqqLVfGayt1pJ24Yi6Vija8YFHwlYnHhurSyVekS8fhcdSxf99ybHqconyp6oCuKoiiKomyYu6zSf0qsZeW21R4BXL8ivI79uVTYwP/P3r31yJJl92H/rx0RmXU553Sfngs5EkVaEimCMqAHwzAgGzSM7BlZejAEGYIfTELTpz6CP4gf/AGyekTKtmgIBvzgB3G6YMAw/C7YBAwbokFI5LB7+nIudcmMiL30sGNH7IiMzMqsisyMiPz/MGe6LnmJjFvFXrH2WhzkH8q+jotymknQXtNv43WBozLAZFC0dCl+UZWnqO2L69772FOYiI6FOzwRERERdaoZABDZsQaC1OMK4UC/6wwQPw2iLAcxsAKQQ7avbJ5dB/c+qOA7kWj5f3Ua1KrgPkJUxwOCiIiI6AgOXSzwWK5NUdBRAC1ab9asKfBYteN0/wkHdeFzjjUYpefZV/bJNu9ba3satk4Np9c0lm7bjAWiU8WDgoiIiOiATqnmwtzMNErqH89m1fz2sL5B8y7xyh1kANoMSmB1isSY1+fYHPpYCOtzoOhaUqud6TNXGl1GwmyWQywn0RDxoCAiIiI6oFp7RWD0qfefJ5+qDxBAgZ8uv6jdLW5+8HAAZ4qie2KquQpqW7IeWuySBr/t408pKHQIhwwIrRx3cIErH/gSAfLUFXYMj8ljZVYQDY15/CFEREREtBcjDyrUFMOz2kBe67MgmiM4MYJoIkjOBcmZwCSARAITt6yyIsNB5PF1OpeZzmWmc1NkTJzGFuid1m4f+3yvxjsY4/ar6YVBlIhrPxm0Rw2XScQFukxUdD4hohqeRomIiIgOaCUdG+MPLvi7xc1uC213kQGUg7trM9N4Ki5gEAls5rIVbKpldX8/yJPgdpkq6tMtioCD2irFXWTlLdcGemrbrHywc+xtNzczNab+mYfikC0am9vQRC6oEE+qjIUsUyxvFTarL5aI2/8AAKpQC7xh5xCiGh4QJ+jz2LXgyTNlOyUiIqIjYKHAunVTDH42cdMowikR+VJhiyKQJgImly6iYHNFtkA58AvnyJsIZSRBrft92zQMoGpH2NxGfZzCch3N1ET1RchTPfpy7eIQ00vmYYZB0EYyTgTJhSCKBWqBdKHIHmxrgVEXnHLRQFVX72NI65lo33gwnJh//r2f6MULg8XC4sMvc3yW8YRIRNQlzsEmerq2ThmfJzM1xmWxa14FDUwsmL6QMvNARJAuLLJFETxQd6ErxgUkfKBBc5+yELyJFhkPPviQa5WUEGQ4NH927ON7LvXimGp1UNd2h8hYCAuEAlVmighgEkE8LTIWjAvK2Gy1e4kIgCLrBQpYu5p9Q3TqeECckD988WO9eGXwyScxAODu3uIv/3TJVC4iomcKi9CprzSO9b3QgeMPSIiGqLzzXBxX0xcGUQJABGoV6b1LY7e2CCpERXG+4pjMs+q5YoqpEbbIkDfBAF2rn/s6EFJ0EHC/a68P4DMdDnV8X0czVQX8VAgxbrrIkM4v2wZjn5rlMzczXSkQGmSl+MCTz4qxebXto8RlyABlEwkAnAZB1CY+9gLQYb1+XW1yW0TziYjo6ZoXxeGdMQGgwTz65vO6vvhn9XIavUamwPy2mAqgtjz4xAgMiukO4fMEiGL3+3jqBpI2B7KlIl8W10RrrotMJMU8e8BmKKIL7nfhcbfuDvzczHQfd7jf5DcSpvl/ln4xuON93+eoK1vV4QCqoIJ/77mdqRbTZ8S47RyfuUVqTonQYJvz3EpUx8DCCfn9Dz+X//7f/FgvXkVYPlhcvGBTECKip/J3uuIzKduUqYWb3+0vYRm8JerUNoM5f7dZFUAOWOPu6FtbtBdcc/VbZi+Et6bhivZFiQsu5Nmag7oxrWIuMw07V9h8fyeDK3sjsI8/bsiawZtdB/W7ZBiIAPFUICJQVTzkwfQZIlqLkbYTxIJRRETP93nyqV58bGAM8HBrq8ACqsHJpqywvVY93/P70CrewTy+snUkqmPRz6MPq/ybyLWwlKK1YLbUqnYDqueF3EDT/SJPFXlaTZNwTwgerP596i/kl4H7yW72XYehnMpW/IvPDZKJCyoAwMP7Yv/oUScQoj7iQUFERPREf/SDn6iJBAIgSxX3b3OXId1IqT7kRSiDx/vx2Hrtumhn+Hrclk+3blC6EghYmYSPslCKiVxwwrerzNM1WUlSf27YrcHmupLBxO26vX0WxQ3bUErx36SYCqHqstEYFCJ6HA8OIiKiJ/iDy0/17IVx6bJWcfutu0XKAcT4PDao2ccdVXYX2T+fZbI2+BAwkZsSAbhBZi2wUNzprgUWGrRlqgK36W72HTQtizwWUyEAF1QA6llo3G5E7XhgEBER7aisrzAVJOcGahWL91Xv83Cwsu1FKDMN+mmboEHXU1AO0YKvC2Ob/rHu85TtCqU9QAAUrSpRdJZQrTrC+BkTB54WRburTYkwLhPN2vqGa3YDIaIKDwwiIqIdNC8+AdTm3+7cCm0gg8hT9ljgYB+1LfqcsXCKtTw2Bf6uI/c7X4OhbF8pVUAhrNngW2H6qRa8C358fvuKcVNYqoyUYFcvAktvcm4rojZsC0BERLQLXxxOi4BCo6jXXGa6TWq11zag2GWQ4d9vl/ekbl3pjYTb7FCFOelwmts4VBZtVZQDURGXrGAiQZQIfIcIEUEUSTl9QiJXRDJsGUmHFR5bahvZJb6iY5GywjbtROsx4kZERLSlsMhX6ZELzccGmY8NGHd9Pu987sexpqr0cbrBKWYsPKa2Too1IQJEiQsciHGDVj9dCoDLVrAuMMkU++MKt1/ZzSNoHSzGF+9U2JzbiqgNDwoiIqItrAQVtrhztWt9hV1fhwM8Ogbud4+7jmYqRhBNqmkQtcCCVlMl1CqsRXlO4bo8jnXn4SrbxBXnZRCIqB0PCiIioi19nnyq4V2rbew6rWHX12DGAh0LC462a87XNzEAdbUV1AJQhZiqFkOZft/IhOJ6PT4/RcUYlBEitQwuELWJj70AREREQ/CzyadVgbZIYERhs83P2fXCc9vWd129H9FzcH9rd6U34gekahU2k3LKQ8l/v9qddsWmcwK3wX5d2Ru5DutfsMgC0Vos3khERLQFtepayvm05jUZC8+90G8+f137u2bBRg4waBcs+vk8j05fsjeiRYaCzbTMVniTu5/bPMhUKLIVio6WZeKC3z4ibt6/iVCdg3i0H8wbeyPWtxkVKestEFEdDwsiIqIt/OGLT1UtkC9dGuymnvahQ3UIGGpggcGR4+AUmqfp8thrvlZZi6H8P9/WNvglXDea8HHcdvt3bWYqUdASSASaK95Yrnsij1MhiIiInmCboAJtdoi75awDsIpZCv3g90m/PWp1FsIx7LoX6GArXkcz9cUJ1QKfpV/wOEERSCjyun1micDVWlAIz/9ELRhYICIi2uCfvfyxXrwyUAWsVSzvFQ/viqvKHTpE0OP22Vqxj20b6bRtDPD46RE+W6FofVhOnSh0uU+LAa7jmb7JTvs4mQdBhZBahZqgGKcRXGczRbFdeH6hU8fAAhERUcPPpp+qiYEoFkzO3JxazRRGBPGkahPXFlDwBRj3eZEZ3unkxWy7p9yVP5XshmaR0K4+75im6Kyzr3VXvp4tXl/cecZEAjGAqjsHidSnSjTtug/XagUocOpBBaAq2FgmjxhXU0eMuDoXAKwGWWtFfYw5eD6m08bAAhEREaq+80CQiKDAcqGw1sJEgnRh8fDWPloY/FAXl0O/iN33IG1bpzg1YG/rujFQHaN97qdlsFBdOr5PwRcBTOxS8KUle6G5D28bYFCFC5pGAlUGK0tFxog/11/pjVznM83hAj1+m/ggDzMWiNgVgoiIyFG4/vJBxXW1Cs2Bxa3Fh19mWLy3Gy8geWG5uyu9Ef+v69d96nNPMdDQieYa59GwUds+WvuZVNlRPoggAkgkiGLXmWBuntfZ401+I2/yG8lTxWfpF50fh0P1Jr8R37njTR6sE3X9Qa0FbM7TBFGIJw8iIjp5vqVbOa9WgltVfn6z5V2pIdrmzu26gdkpbesuMkd8Cn+Jx8tWNmUJhN0IRIBoKq6AoAXSewtr0ZoZ4gOkUnSvYfeCbpT7eJDJcNQFIuoRHgxERESF2sBozc0oXkiO06m2X9xn+8TnvBZV/HkpOXOrMkqKLg4KLD/Yes0FcZ0LxNdmsFV7ys9YP+HZwiBQbX8P/m5wn6dTxR2fiIiItjLm4oZj/myPYUCgv8JtIwIkl6YsuJininyp5Rx/96Cq6KMpKqlp7tL2bc7t+hzrMpvCApjMaqNTxh2fiIiop/pQ2LBtWYDjLw91g0GF/mpuGz9VKz4TGCPIU4XNtAoqFAUHfScJ/3ibFf/NtazVsM025jFfWclOCNaMX8/GuPYQNtd6XQaiE8GuEERERD3UVuV92zoBXQ8A2gafh6oe36fgyhg1O3OM3ZAHy769Yb5QZKhmbYlvUVCwViEqEFsNetUWnR+sCy7M7eb1cEr7xC7CWjxqUWWIxFJmjshg9iiibjGwQERENGC+8CSwub/9c7QNPg8dVKD9GdLg+jnaikv2tb3ipkySee6OefUFGhEMZgWALWowWIVq8QuRYkAs7oa76NrCj5uWqY/r6mDCAr8IAgwK2Bxu6ol19S2u7UzbCmae8pQrGj+2myQiIhoJKe6ezeV5Leia1mUsdPn62ywzAw30HCuDuR4P7TYNPK/0RsIWlBCpWlIC5TQIExdTIoIBsRi46RKxa1mJoL3uc5Zp7K70Rq6sW++hsHkQiowSm2trF465zNRvm+uI5zIaH2YsEBER9ZTPFNiYri71/xbjDJfu3NEdxmYV9C4HGLtO+SB6qpVjqOeF9h5dtjK4oEXAQKDF9AepEhWqmgDFf01UdZYwKZA+tJ9awvdnUK9OAbwJumxcq8uGkWIdt53HpHE7l+c6GhtmLBAR0Shtexe8r5oXnOsuQP1dtPLO2Z6X6ZAXwtuug1M01P36mK70RuDv8o9k7V3pjbyxN/JZdiOfpV+IzRoFHRtMDMRTQZxImbnQdlDx2Gv3Jr8Rm7tOG6GyfqafXtKyttZtE6KxYMYCERGN3pDvDG293I3CYT5roe+a2Rj72k5j6X4whIBCnwsk9mlZnmPT53iT38jcFnfQ4e6UR4kgmoibAhHB1VegJ2lmcAFw59/iy3Ub5srWz3UiwLXMVIvf7Wt5iQ6FGQtERDQ6fR7YdM1/1nAe9VC1bSefJTHmbfhUu2bkHCsoMYRgyFj448RnZ4TBRZtpMH3C/dNcEU0Fnyef6tys305DzwDrWlgItGzt6deprg8UtJ3HBDxGaBwGfglCRERUt+9Cg70ljVZoPZ8/HmLgYDtPzboIB4QncSwQgOq4sjmQLbUo8KjIUoXN1Z0zIimyGYAoltM9fz6BoF4gE9juXHalN7X5J4rhnKuJNmFggYioY7yrc1zr7nofY1kOJbyw9fUW9v2ZwzuYQ9zfh7hPdLXM+95eQ1y3Y3alN/Imv5H0XrH4oMiXrtWkWiCKXTFHE0nZTvGxY3qIx3uXyiwxgyL9Q4J2nlsqztP7ahFMdAw88RMRdWxuZr5zeGvLqUeff4D55jQuZRszqdKcn7Lv7fqezZ9xfz2MXbtzHGNq0LbLuI9OI7TetXHnChML4qkEbSgFahU2B/KFy2iw+frXOfXtNZeZSpHx4dlsfYRApAoinPq6o/FixgIRUYfmprjYMLvPd5/LTP3zfW/xru4GD/WuMu1Aq2yFfQcV1uE+dhjPnTpyiO20zTKGy9GHc9Sx3/8Q3lg3NSJfKtJ7RbZ0t82NAYwRmAjF3x9xU6v83yNqpXm1y7iWn40HSJVNxtVIY8euEEREXQrbTIng83imancf6Pm248Dz7m40L5R5d3CcfKG2UxgY0e7CzhtdnE/Gdv5oBji6/nw+S8Dm/Vh3fn9QdW0T01xd54hYECcGxiiWDxb50mUxiLIOQMjvL6rBdIgieiAANPwD7q8JwuACz9I0UsxYICLqmAjKiww//XLbAZ+0fP2cweIp1hvYxdgG4ocsgrjufca2Tseiy32ji+yCPu8nXS7bH1x8qucfG5y9MjBFccQ+fPYreyOfpV9InmrVOUJ8vQUgngiSM8HkwiCaSFl7ofk6ffk8xyBhAAFuOolv8Vn9ELUfDKEFMNFTMbBARNShK72Rz7IbUVv1+drlQiJ8qH9e1ynPp3oRGGKV/G4wSHU6uj6XDDXoOZeZXkczvd7QmrFGgTgRTM8NvvdXaWhVJAAAIABJREFUY7z4foR42t594RjUumkRi1tFtlCkRfeIZGowvRTEEzc9QhpbZi5uHfjpEptaVe7DoQMabYVq/Y0DP23EV2Os/c1vfN9cj0Rjwt2biKhjYX/r0pYFm/ZRZO0Yhdv6bN3F6FDXy7HT07tYn+VrFHcAh7otxmxfxTr3MfXgqcsRft+2TPNiSgOAMgqsdkP2jpnpx78a4+zM4Nf+ygSXHym+/cr97l//6QM+/DI/+r7uP3eUuGKO8USQTN1AOS/qB6QLV48hTxVqq+eGg2SFy4I41PKGDtEBp/UXfnqDBMUZ7erNhNp64vmNRowZC0REHbvSG7mybs67/7fthYRPV+4ybdm/ziHT5PtsrOvgWCnJndx5Li7MpfiaTkffjseN58nw6JLq8WtfTIH7DxbWKuJYcPlxil/59RyXLwR5pr367HmqWN5ZLG4tlg8WWeZux+cZkC1dhwhfUyBsb+sJNmewdHVuOsY622Z/UEVrUKHxsJ2mRhINTW9OaERERIc0hkyOvmRfPOeus8/wCZ88xLt6p9Im9tgZMsdUy1goivJu2vd/NvlUkwvB93+Y4Hf+jptSkGeCr/88wsPC4v/5V3e1go7HWLe1c4gAJhJEiWtHqVZhMyCaCLKFwqYKiaoWlTbTKnNjwzHb5bn2WG1uN32GWpZiyxm5mdkBrVoDn+JxROPFnZmIiDrVltbex8FIH5dpV30JLDzX3Mw0vC4/REp1l4412KHDm0vREhiPd/u5jmYaxQIzEfzab0zw13/LDcq//vMIf/J/32F5Z6F5/RzpHXNqk4ldEMTEgM3cz7XIvjOxCz6ouqCDb1e5SzHXLv4mHCuQt8ty+6BTuM+EGFigsWG7SSKiETv04Hku7o6eCGDt+sc0f9ar9NYR6Mu89W0NLZBAp8u3dt2WKpAvFL/48yW++kpgjGD5sEB6Z3tZT+RKbwQpMM9manKXvSCRwJiqq6KuObc/1VPPV0P6u1E23vBdIpStJ2l8enUyIyKi7hzjDpgPLJhIygsom7mCX7W5p402XX27uB6qU0nH76O+3HGmfpmbmcZTweRc3DSDWLB8sFi8t7C2Cqo9d//pav8Lg9GfJ5+qDywkU4EAsFaRZy644M/tNtfNRSwb56VrUy9wvOm5Y1FmLQSBBWg1NWLsn59OA4s3EhGN0NGKQxVzdCUCTOL+K0ZgYllts8XLqL065f7yxxAODDhIIO/K3ki+UCzvFA8fLD58nePhrcVnWVHk1z+uB22Fw2lsczNTHziIk6DrAQCbqgsqFO0WxVR1F9qEBYnbuiaNvQVjbVto2aESzdoyREPHqRBERCPUNmf3IOnx6u5eGRHAqKv0H7l5uitXucEP+pC6zzvO9FxParG54/NoP/Z5/CuKQofYPI2gy/d88msFzxLju0UAyTlgjPulScQFFvLi86i2dkNYt1xzW2/b+VitiiFbCfAEAZhwWsTcHv9vINFzMbBARHQiDnbRUqR4+hoLmgd9vjV4zKGXa4N1d/z6sGxNYyg6eeqYSbIfPt182wKg4R16P33Lp/V36creCOxhj90uzl9qi+4QCtgc9QCCAJoXwRLd7c77ld4I8tM4DsIgvyogFtBif/M/2zoqQ9RzvCghIhqZ5xZH7GSurwDGoIwmhDUW+jog3nSR26dlfmz7MPOi//pSwLRPdsngWDdovjYzNZHLL1ertVaOre9X/MYYdxfeREWxxaXLMBjSNukiA2bdueM6qroaTF8aJBMXbFg+KJYfLLsbbNBs5ylwmSBi6oEF/zeS65GGjDsvEdGI1ApE+f7iQMs8hEqzh3rtL8MTL3SaLSeb79U329w5O2b7N//+Y2kveeoY/Fm17ToJO8/4FoiA+zpKqqdsE1gQ455jEkEUu7vyahXZg+KzrHqeH1irHXfavtcM3Ph1df6RweXLCEkiWCwVH77LAQDLD/Yk1stz+P3bB2jCmhSqRVCB65AGjjswEdFI+Is/r+3C2/0iGO+3DFP9hY//1Sld7PQpa2HbNGEOSoeJNRYquwTMPo990LK442sbU9ij6il5pq3B0TCoAAAmrr7OU1ecMFtq8XrB3WVbDzicCt/FYXJhcHZpcPnCQBW4vbW4+y5HttST+jvxFD5DZmUlFX+M+57RR7QN7rxERCNStvESQETcRXfQ0qp5t8QHHnx/8vKvQhCMONULnWOnqzOwQKdk24yFa1MFUCUSaK6Ipq4+QraoAqo2bw8qlO9XTJuIEpQ1FmymsBnKjgf+fcJghc30pO7Ohxki0xcGF0XGQpYp7m5dMYrlrYXN3TpngKFdn7PiiLrCdpNERCNRa+OlgAYFocKrFSlqH7gWYQIUd+7iM0E8FUwuDKJpdWvlFApsbaMvF31sa0hjs1O7RL/HF1Uazz+OcPbCYHppcPGRAaTowLDlWStPXYHZbKEuWyHX8qlq660Q1Z5WUAEozjFF8HnxweL2XY672xzp0v25yRaucqMxvFu5C99+89jLQdQl7tBERCMzNzMVoOwxXl4lS5ixINWUB6uQ4s5dFLsfZktFtlitjn5qF0LH7sDAufh0CmpBUWDt9IXymyCl/OwjgziRMvvq9tscarc7VsKaNOG0saaypsOJ1Fho8n9TgKJ7RlxMEfHTUbTK8vjp4ouyZg/PV3Wc/kRjx52aiGjE/MVdWEzRt34M+z9GE0E0cXcAxbgiZvlCkaX1O3+8GDosXojS2K0EFYCVwMK67AUxwMXrqJZVsPhgkT48raPDploPx54a1RdzM1PfRUOkaEeZK6wF8qVW0+oKLEpIdDriYy8AERHtj7/wLS+Ag0vjsh4DXDqrKhBPBDYD8lSRN4IKdHinOHDpK96B3Y8rvZE5WoIL2zzPzvTu2xyTSwNjgOWdO291EVQoM7r2cA4ccsDwyt7INWZqM5e1YDOX8QarVUChkX1CRKeBgQUiohPlU3/93bjswbVZYy5b/zTbd247GBnyAKYvwnV47KkxY+Xn8e/Cbwu1wOK9ffI2aWvnKmte6eyVKQsVPlUzgNHngNW6qVja+DOh1hW9lEiAXGtdNPYRmCGifmLxRiKiE+WLR61NM0a9U0RfL35Pjrh05F2fxiKcu+M664euzz1t2/XauHoL8Zngt/7OOf6Tn1ziP/0HF/iPZy/w//79/0J/5z+4wMuPI0wun3bpfMh9aS4zfc77rXtuGISxmdYCLHHRmaMtkMDjiOg0MGOBiIjqgjmyvk0lgwo9sGN6MS/mn68t8MZj4Xi2qbuwrbBwoxfFgv/wP3qB7/97D3j121P82/9D8ZufvYI+ZPgbr8+gH5b40//hPf7kT5b47ssMWGz/XuuWeZ/701MzbLapKXGlN/I5PtU8BaIYkMTVWwCAPCuealefR0TjxYwFIqIT13bRp2F5BeEg9djKVHFuhaPiAOl4HgsqbHuOqk13aG5NAW7vLS5eZkj+9g/w1//bv4voJ7+L+5/+l/jyH/xdRL//Bj/67TvXWtEA//T8U71+JHtoU0FIP4B/bobBNu/XxWs0f26LAILE4qZD5MXUB+taeCqD0kQnhQc7EREB2HxByovDfth1PjZrLGyHtROG6anbzXeiEOOyFM5eGsSx4JPvxfjN3wF++LvniH/3bwOJS+x991u/jX/19QP+1scpfuXW4Mv/5n/C//7HFnff5bCZ4rNs8/uvy3qpdcToaBDeVVbENq/jp2SJuM5CfiqE7w7BbhBEp4UHPBERAWgvYuZxwEVjxX19fNbWjYlcIMHmLqjw+ldd4OBv/c0pknOLd98YJLHg/FWOH/37KczrKZK/+Rr6j38Pi/wWF5lBOv8D/G//3S2++osUgBtE56niTd6+3zzawrIxxem5+1+X+/M2gZu5zFQiIEoEAiDPiqKNnAZBdHJ4sBMRUas+Vysn6sKh57zTfoXdUyTIBPDOXhlMLwzyTJEuFK9eR/jN35zi8uMM1grefxXjw12OKBKcTQ2m5+7Jl5+k+JV/+H2YX/0Et//i/8L/+S8n+OoXKfLUDaDz5eMtLtsG6fvIWNj0fvsyl5maWGAi973mqKZFADt3syGiYeIBTkREj2Kq+OFwXR8Wgwvj0ayfELaNfPmDGC9fRshzxd2dRZ4pfv3XpwCAH/4VIJ4oHj4Y/P9/muHd2wz/+C//WADgn736sU7OBJcvIqgC777LkD5Ud+TVujv06zIWtl1mYLj73XU0UzECMQDUBRVq9WCC4MkbG0wDKQz1cxNRHQ9kIiLaiAOvw2Jq/mFxfY9HWTshDCoUX7z4xODFqwhxJMgyxdtvXa/EX/+NKb73fcHizuD/+9f3+Ed//i9Xtv+1qV5XfRHV4FFqud9cxzMVKeosFFMhFCiDDQDKwMKm6SEHW2Ai6hwPYCIi2mgf84CpHS+4j4NZIuMRBhcg7kI3OTe4/MhgOjUwRvD2uwwfvs5hit5o05fui8UHxWfpF7U76mKq1/FBBW0EFliksAq+oJmsYAApIjKqKDM9mnjsEQ0fD2IiIlprJagAMLCwR8wOIdpd23HTnA6RXBicXRoIgLv3FstbWy9UG9QBqAUV4F/HvZC/G8/jcj3/d8METe19UKGtOLDHdUo0bObxhxAR0am60huBumtuXvEdHi+0idr5wenc3ylvHCnlyFUEEglsprh/n+Ptlxl+/8PPxR9bV3oj5XNbgqjNoAK5dd8MDsxlpnMz02sz0yhxLTwnlwaTFwbRtL5i285rPNcRDR8PYiIiWqtMK/Y/8KmuLdfXvDDsDlPzidYLB7Uu1d59bfPqZyYSqAZZB2gvtNg21QuoMh7812LEZSsU579Tnf4wNzMNP3hYjNGvMxMLknNXbwHqWlCmDxawwTSSIDuE5zmicYiPvQBERNRfV3ojc7RMhyguDP0FvSoHw13iOiRq17xTHnZ+EANEEwEUMMUVbp66/6pFOc9/XSq+exHUiwSgSOPPtXqdDpd/NMd60PlBLZCninhSZHqo+9qmgLVVG8qN24GIBodTIYiIaKMrvRH1BbmKu00mEkRJ+/UwLxaJ6JiiicC1P3RBBptpmXUQxVLLYghdWTf1y0+tiBJ3nvOtFGUPIYDBnS+19cu1mWyeGEF8LkjODZIzv17dOh3cOiCiVsxYICKi3QSXgCaR4g5V0V6Ml4dE9Ey7pMc3pz/49oaqWmYruAe4x6h1j7PQMvugOa2hGUAwkXsBm7tMCJvrSlZD27I3s7h2Kc7a58wG1dV1VC6fAteYafYA5AuFidxcOpP4vw/Vx5pcGuSpwmbAPOvv5yWi7TCwQEREj/JTIrTWH77o615cnItBNYc2wDm0RLStsihjy9SqdXe2JXL/TS7cvP48BfJlVWzRZxx4GqTjN1/bn9NM7Od5udevghT6aH2F596B7/Md/DCA0CasWaEKWD8FxbqgjJ+uYuLG34pgKoV/Hf7dIBoWHrBERLSTuczUp7BKJLW5y4/NP+aFIhGts+mO/tqgQnEemr4opj4AWN5Z5AuttZuECIxx41bN1Q14gWp6l6mCCXmmEJHaXflwEOwzFtrOZ9u0UtymHk2fMxYeMzdFIceA+5vhAgomqv8yWyo0L7LeALY0JhooZiwQEdHO/EW2Ztpa7IyI+qWL4qrhYHcfAz/fJWCbx0pRA0FiYHLm0hHcoFSRTAX5sshKKLsQKLKseG4ERHG1+KpuukNctEWMEkH6oGUAIewuUb4mtr+r3nzMY8/pc8bCVlrqLagFRBQ2B6KJC+RIJMjTakqKRALxT8wOu8hE9Hws3khERDu5UlfgrKypYFFWAieifpnLTLsYqDZfYx+D351eU1yNl2RqXOzAuCkONgce3rtb3z7m2cymEhEXXJi4tPwoAZJzgYlcgKGcNhEWKrS+s8Tmxeoi4DKGu/VXeiPhv/B3NlVkC0V6r9C8qI+RCKK4CC4YGX5whegEDf7ERUREx/GUC78xXDATDcU2afnPea2nHs+Ppfmvy64I6yAkF4LphYsA5EUBx2yhrhhgWr18o15gNcc/cgNZwNcBAKLEBR1srkgX7nV8cch1eE6rzKWaAuETD1a2oZ8mIUXzjaL+RXLushfyZfF8q/gs47olGhJmLBAR0ZO03Yl67PH7XB4iqhvKMbdtkNJ/HkWVMSXG1U5IHyzSO1sLKsA/GKiKzSpgM9c1QouUfVdk0HWRyNIiqJDVp0C0rcuhrN+DkerfupaeZbZb7jp6+AKbAJBMDZILt0ofC+gQUf+wxgIREXWmWaCMF97jtu859/R8u9Qt2PV19/Fa4V3vucw0LOTnf5dcuCkQAJCniuV9Nc/Bl1SoKe6OQwAp5kaodXfIgSpIYVXdlIrGFIjmOuS+vircbhAAtiic2djzmuvuWmcan7m2xS64ozAJ8NMl1zHR0DCwQEREz7LuIvvUL76HXNX9KbooDkj79Zxt4wfX+9i+/nXLwWnxDqLAm2ZXiDJCUGUa2NzN24cBxK5Of4DC/a54bVUgX6pLwxdfkFHdA2zRjrKlda5frjkYNG260huZ60yNL3JpXFbCY9QCy1vF5NIFF6JYXI0MIhocBhaIiIg61naHeGwZHCyuNhxd7Xf72n/965bBBf8LcXPyr6z7vZ+LH0/F3RS3iuWdyzKIpoLppYFaxeLW3fn2wQXxbSf9LXSLslNEGDwo5/4b9zi1wJUNAh5or914akHENn67letT2zMWms8BinhOMS0iXyiMgdtGRDQoDCwQEREdwNgGG/tKsafxW3cs1IIKBRHg2sw0mghs5karfgDrWz9GieDylbtVnqb+l6jNifAJCYBAjJb1GepvVj1Wi64SzX28OVbmMeCsBIXQkvGx5jl5Vg/wWAYViAaJgQUiIqIOdVk9fyjG/vnocHywoDYlInJfJOcGJnYDe5u5doUA8Hvvfi7/6/f/vooAxijyF4r7t1qLAPiMA5+5YKIqk6Es4ujbSTZHxGGAovgvAwp1fn347bfTOUGr6ScAzydEQ8WuEERERB2Yy0znMlMEA6Kx27UzCJ2mJw3CiykJl59E+ORHMV59P8LkQqAWSO+tS51vedXlUnH/1q6k4KuvnbBmSTR3j7GZFmn57vWv9EagVRIEtfPradeV5M8hyiwFosFjxgIREdE+BMPt2sBq17t5DSySSEOwTTBh02NEgNc/ivHRqwjv3tWrAOYpYHNbHkv//Ps/0dsPObKlVoX/Wub3qwKwWhRwrM+TCKdWNJVdKbB+ea+aRSZPUFfnpLHVoyE6FTxoiYiIOlCvWl+Na5p/aH3F+qdeOJ9SobhT+qyHcMiWiY9NCWoeL7UBvbhCjT/4awlefxQjigR39xa//DLF3Xc5bBFnMLHgxScGUexeJF0q7r7NawGCts4O5Vuqew2btccCmutoU9CA++bTrVuvXKdEw8KMBSIioi75AU14Sdy4e9pVUMH/bIwX4Kf0WQ/h2HfSH91uQSROBHj9qy6oEMeCNFN883UKE9WfonlRzLF4ZZvXpzqEH7h8/+KHfn18ln7RmmnQtrytgZFtPtueDb2uS1sh2CEtPxE5PGiJiIg6VLtAlm4zFoY+gNgVBxvdOfS+s+79Vn7ekrEgApx/HOGjTyJcnBuoAl99leL2m9zVQtDq9f7Fj/5e1QpSgfe/zF3AAU871rqaanTIKUtDPS8wA4RoXJixQERE1KHa4Cks+PZIT3eqG3LGQh/uZj+WobDv5QqPg/C9VoILLUsZTVzXhuVCkWc53n+X12on+HaTALC4t5hMBarA/TsLzbUMKDTfe9vl3uXxbcLPd6yaKEM5VsKg0BCWl4jWY2CBiIioY37w1AwydPG6wGkUcBzqZy07g3hHCCYde9qD17bNHptPP5eZ+iKM/9VXfyz/4yc/0fSh/pQ3tnrd9F6RL93vbba+68OuhpQtM8SpBHOZlZkmRDQOPKSJiIgOoA93sWm/VgoSAs/uAvKs5Qj0aZ/bZRA8NzNXrsQ/QgBjBD9dutoIf/jix5re2yqg0MH6fk4xweZUqK6Waaf3Rb+29zrltoWLv13Z9s4aQ/gsRMTAAhEREVFnahkLR0rvHkKV/W1T9efG3dkWAwgEJgEuXkWIYsBa4OHOYlFMk9hncGHnOg1HDi71XXMdrQsqlL/n+iPqPXPsBSAiIiIaiyu9EQTtDo+2DI3v+zYwa2vl2JppYW8kOTeIJ4JoAkCAvGgPaQwwOTOIEnlWUKH53uvqe7Q93n8dfu+X49j7QV/tuo76tu8SUTseqERERER0FNvU0PijH/xEo1iQpYp0oZieC+JEYHPg/n2O5b3v8er+s3Fqhb9T3hzMFj9r1vbw1v28aYj1Dg5t01QdZiwQDReLNxIRERHR0YgA1zLTsChj6MXLqLwVdvs+x913FiYBRATZQnfuABHWbFAEpRCCgMNzBrLbBiFO0a6BGQYUiIaDgQUiIiIiOri5zNREgESCeCrAu/bHRZEgioA0UyzvFTZX2BxY1wJiXRZEWycCaXy9qfbDSnHOLcIGfRwYH7PTyjYZHX1cZ0T0OB64RERERHRQfnApEZBMBRIJfu/dz1euS//kP/uHCgXefcjxzbcZvvkyRb4ArGo5P39Ti8ltggueFv/3nMBCOXB+ZvHGbYtb7vqazZ9xEE9EXWHGAhEREREdnBjARILJpYEA+KPpTzRJBL/2a1N874eKyYXFuy/bngiYIjpgs91mG/jims3uHbXfb3juk6Y3tNV02MIxMwuIiHbFrhBEREREdDC+hSQATC4EpjEfYZlaQIDJmcUnv7ZAcmaR5Yq7uxw2cw9TBdTqxmwFYEOHh+YcCDw+gK91M9jh/XYNKuyrNgMDFES0TwwsEBEREdHBXAVFGm1Wn8qQJIIX5xGiWJEuDL77xQR/8RcWX36ZwhQRCPVzFuAKPz6m2U7yqQPs2vMeG/o3Wimua6e5jX0EGvrYgpSIho1TIYiIiIjoYPxAeXJpkEzd2DYvpjS8f5vjL5IlllmCSSK4u7e4v7dQda0lw6kPaosgQzE8riUhREUQIl/Natg0UO8qANFlMKDLAMC+ggmctkFEzFggIiIior1YVzBQFciX1aDfGEF6777JUsV3bzN8+csUX3+b4u4ux/LBIkpckUeI+yfG1WkQAYz/2gAmkfLnwGpWg6+zEP7bNhjw2MDZ/76LdpVD9JzMDCIaNmYsEBERnRD2iD+uU1n/4edsu5stBkjOBVEsgCoe7i1ggMUHBZBjea5IJu7hIkCcCJYPrhOESDV9QoICDbVAggIqLnOhrcDjNoGEdZ0Zwp+te411HSS2vbM/pH2DgQQiAhhYICIiOhnNAcA+WtpRu7DNYVAiYHS2/ZxqgTwF4kSBInDw8N4iigUi4pISiqfbYspDMhVorsjT4kWkCjyYCDCxS0TwO7TNFOly/YruenAfPn4lcPHEzhBEREPBqRBEREREexQOtoFi4Cvju9Pb9jnbiivOZabRRJCc+ZaRwPJeYWJBninSB4ssVYgIzs8NXryMyuwFa+uvZQxgEgAGiKeCswv3uiZ2WRHxdPvYwFOCbL4IYvO522RD7Ppe++CnLvS1JgQRDQczFoiIiE4Ysxb270pv5Lo5cNORDsAEMJG4qQgAVBWwqN2tv9Ib+TyfqVqFFqkJUQxXY0Hc9IbzC4MXLwwmicHtXQ5rgSgWxFNBtlAgd6+lCogCkwuD8wsDY4DcAh++zaEK2NxlMrRNhwBWB/hdbRP/OnM0Wlv2SFcZTOVn7UmwhIiOg4EFIiKiE9E2r3yUg9se8is9XNljCurMZabJueDspUuGNSJIlxbpwmUk5KmWK+Hz5FM9e2UQxy4DIb23SB+0nC6Q3lvcvhecnRlEkeLyIkKaKd59myNPFVpkLUiRdxslgjxViADTM4PICIwB3n2dw+aKfKmt+3nbQLirGhi11z6R4fZY9mUiehpOhSAiIjohzXngx1yWU3JlXScCLf61pc8PXZQIXryM8L3vJXj9SYzzFxEmZwYmQm1wrVZhM0WWup+LKTIctCrKGCWuXsIyVbx7n+PDu7x6neCfKpAtFJMzwcVFhItzgyhy7SvzzAUV1nls/T91isBjzxnjtici4kmNiIiIiJ5sLjOdvDD44Y8S/OB7CS5fKR5uBXkO/OKrJe5vLd5/k+Oniy9kLjONzwTxxE2B+K+/+3mZRh9m1IgBLl5HOL8wUAXub3Ok9+oyH4Ba8YZ4KpheCM7ODV6/jqEK3N3lePc2x+23FjarZyzsGix4ShCgi9aVh3AqXUqIaP94AiEiIiKiZ/nZ9FP96AcRfuOvneHylcIY4Pad4Nu3Gd6+zWEM8O2XmauPULRumFwa/P77n6+9Fv2n55+qzVzHh3/y8IUAwM8mn6rNFWKkjC1EExdY+OjjGBcXBg8PFu/f57h9Z5E9KNRW0yd21dl0iI5fuytzM9PR1vsgooNijQUiIiIiepK5uOKEmrvWju8+ZDi/jDG9zPH6Arh4GWE6Mfjl1+nKczcFFf7wxY9Vbfu43MSuhgIMML0wuLg0uLyMEEWC21uL29u8tRvFOm21R4bu2PU72tYngxdE48bAAhERUcBfEPMimGjz8eCDCl5zMJ+ngvOXOX4YRXh5eYaXL1N8+Zcp7r51XR7880WAN3n1+v/zX/17ai2wuLdIzlyXif/lV/5zFQDLhQtgZEvF5Lz+hiJAFAFJInj7TY70zpbdKR6zj+P90AGLXd5rLjP1xS8hwLXO9I3dbh2wACwRteGJgIiIqDA3xfzu4ntlijCdqFrQYMNx4I8ZwA3sX3w/wg9/mODjVzEuXiqSMwubCe7fR/iqyFr45Vepq32Qa1G80U1nuPgoQhy7t8lSxfLBIkoESVLUZCh+nqaK5Z2FiQTnLwzOzgySRJBb4P7O4uEux/JOYXNXKBIoikKuGXY3P9sQB87rggrrlv3arLbBVLtdQctt3ocZC0SnhxkLREREgUNc+e46CCA6pGYmAgSYY01qvda/TB8U//bPlrj/gcWL2wgvziO8eK3QHDujAAAgAElEQVQ4f5nje3mCr75JkUwMLl4DNgdsprAWiGIgXViIGBjjgg15DuSpRT4RJLlAjCDPFPfvrMtOSNxrLBYWi4VrXZmliigWTM7d79IHlAGMrT978ZmH1CZy11ayb+yNzM1MfZbJpqDC3BTZDeoyS4YYeCGi/eOJgIiICEVqcPMOHoo2gR2/z6bf8yKd+mDbjIW250WJ4Pwjg8uXET7+KMLHL2NMLiyyhXuJ+3vFYqnIMsViaZFliocH971aN80hfXAtKRWAMQKJijcoggcAEE8E8VSQTF0hR2uBKBKYot3k8kGR3rvH2kzdYHpDF4SyI4WgdoXsCz8O4djctcvDY1O/rs1MTZFFourWY5u1QYkj13ogosPhgU5ERFQIgwv7CCr496j9oHFnlBfh1Afb3pVuDmTDdpHJueDl6xgffxzh41cxpmeAiRRqBQrAZoIsVWTWtYcEgPcfXJvIxa2FFlMZrMVK9oCfPnH2wiBOqoM2TgSTiWt1+fBg8fDBYnlny6kQ5TIGx12zFaWIe30xAlVXmPIUpkU1gwz++yipPrZaN8UkNPb1QkTb4VQIIiKiwpXeCHT3PvdPNrB0azodTxks+rvTc5mpWiBbAMulxXJpcPdgITAABOcvFVGiiCfqggtLwflZhPcfFEAOnzCw7tBwQQuD5EwwLeorGAOICFQVECC3inShSO/dtAmX+uCKFNayEYr/C7MVJBIXWJBiOYzAZoq5zjQMNo6p0Gt4zguzDMoCjwWbj+PzElH3eGIgIiI6oE1BC16w05A8VqDv2sxUIkFyLnjxUYTzC4OPXka4vIiQTBViimkKuSB9cM/55m2G777Lcfs+R75QiHEp+PnSZQ34aRbTqSvaOJkEd9MV5dQKVeDhzuL+vUW+rBZTpCjkCJSRC23JhjCRm35hjJtiYbOqVsOu9Qz6rvZZWiI6PtgCVQYWiGgt8/hDiIiIqCvhRfm6r4mGYNM+O5eZwgBQRbZQfPgux9tvM/zZny3wZ/9mgV/8IsNf/sLiq7+0ePudxe29xS+/zfD2bY7bdznyVBFNBfHUYHJhMH1pcPbK4Pwjg4vLCJeXEaZTgyQWTBIDVZcdsXhQZBmweLBY3LnpFCZyNRhc7QSp2mLK5s4vPgghApioep1yKkWjFsNQldkJ4gIpJqq3DvW1FRhUIKJNOBWCiIjowBhQoDFq7tfXdqZqAOSK9MF1jIinLp1+ubTl86x1xRYBV5gxW7jCjSYSRBMgigXGCKLITX2YJlK2pVS450ameGvx3SWAyblBnihsBkCkzD7IFoBmWhZlbFILWFWoFlMi/G04n9rQPGI3dc3oubm4jg8mqmd+cI4WEe1qcCdAIiIiIuq/sp2hH6MGV50iQNhtwD/O5m7Ab5KiMONEEEWu2wMAxLEgmQiMuAKQaWphimII1iru71xQQYxgUtReAFxnCWMEWaZYLi3ubl1Rx3xZBBiC5SzjB/65sQDqCheqrk6d2KVrRp/MZabGd9sQ100DxecLi2YO8bMR0eHxREFEREREezU3My0vOv0gfs1VqA80RBNBciaIYinbSMaxm46Q5S5TwQhwfuEiAP53y6UbFL9+HePVZYTzlxbRxCJPBffvIrz7kOO7dxk+vM2RTAXvv8mRL7VWf0HVdYXxwRH/u2YQwhvq4Ps6mqmYYqpIkZ0hAuSZq2sx1M9FRIfHqRBEREREtDfrigMWDRxqAQbfFhICaO6mTzwsbBmHmLxwQQTNg2kJAlxeRogil8UQRcDHH0UwBogniouPMkwucqgKLl9nmP4ywYvLCb4+y/Ddd1mt/oKPLPhFurJVe8ryQ4yoPeyb/Ebm6oI+Erm+HSpVYAeLYy8hEQ0FAwtEREREtDdtXRTK6Q8NPu5QDniz+u+Xt7ZM1wfcHfb3eY4sVZxfGMSJII4Ey1RxNq2/QRRbZMsIydQifYiRFLUaTCTIxaX/17pGhMs/0BoKu1CrQFRFUMrgDRHRFkZ9giQiIiKi4ys7KRR8JoA0Oys0axhUNRlrP7/SappCNBGcvzQ4vzB4eFDEiUvtjyJAIPjoowjfex0hOXMv8OGtYDIRfPNdhm+/zfDum7wsGOnrFo49iLCOL+YYJQKbKT7LTnM9ENHumLFARERERPvn5zMUAYIrvRFoFXRYKV3Q0n2hWdtABLCp4sM3OW6/yTF9YQB1WQg2B84v3Iu8fWfxykYwsZta8fW3Fu/eZbh7b5Et1HWlCJfrRF3pjSAHkB97SYhoaE72xElERET1+e+nPKAasuY0g75vx7msTito+wy1LIdmtkJxZ90HJICqsGI0ESRTQTxxHSQuLyNcXBgYETwsLG7vctzdWiw+uH6TeQrYot1l39cdEVFf8eRJRER0woY2KKW65vbz+rgd25Z103I+FvS6NrOq0mKRcOBbTUYTYHru2lUCwHRqoFBkqSLLgOW9y1SwuWtxeWX7t76IiIaEUyGIiIhGZl2woDlQWzcopeFo2459DCo8xWOfo+xYqdUPFAByRfYA2MwingqiGFgWNRSsdW0U1QLarNJIRERPZo69AERERLR/vtCdr8Tflo5Ow9MWHBpSwOg5y3plb0SLYo9aRhlQFmDUXJE9KBYfFA/vLNJ7RXZvYVOFzYvgQg5mKxARdYAnUiIiohFZO1CTRvH9lkeNOdDg18tYP+NQamV0nV2xsr83Okys/Ayrv+/z+iIiGgqeSImIiEamLbggLX/x39j6FImxDrDGOlVgqLoOgpSv1wgqhK+9zWO6wH2NiE4Vp0IQERGN3JW6lPFQ+P2V3shYB0BDmhZwKsL97bnbp/Z8Df41HyNArcPEHoIKRESnjCdUIiKiEzH2zIR1du1GQPs3F1fzw9MtB/pt2Q7bZAnMTeMxe6irMKQOHUREXWNXCCIiohPBAY7D9XB8zak5j22TTZkNOz93TzksY+7QQUT0GE6FICIiolHbZXA3l5k2/+1z2U5Vc2rOU9bzts+50hu5sjdyqCkQY55aRES0Dk96RERERAVOmziMsu4BtpuWMJbtMpeZSnFbT+0wPwMRURuezIiIiKhzQ6znwDnytG/NwALA/YuIxoE1FoiIiKgTnDZAtJkYlLf1xABvcgYViGgcWGOBiIiIOtFajX9AwYa25efdZOpKeSxoy8+IiAaOfyyJiIioE2OaBw8Mc9mp/67NTBX7aXlJRHQsPKERERFRZ9huj4iIiIiIiIiehendRERERERERERERERERERERERERERERERERL03l5lyKhARnSIWVCIiIiIieqaxdEUhInoKc+wFICIiIiIiIqLhYmCBiIiIiOgZOP2BiE4dAwtERERHdsqDEs5JpzFom/LAaRBEdEp4wiMiIjoSzsmu1sGpfW4iIqIx4R9xIiKiI1h3l/5UBtgMqhAREY0H/4ATEREdSXNwve3AetPUgaEMzk89sPJc4frjOiMiomPjHyIiIqIjeOrAepd6BH0fcD41sHLqmO1BRER9w+KNRERER/CUgeCuRQ6HUhTxSm+EA+PD8kUzh7KPEBFRvzGwQERE1HNjHQAyoNCdXfaP5mPHuG/tE9cXEdEqBhaIiIiOJBxUbzXIbvx2m0E5B0Hjw9aGxxEG+MYa7CMieqr42AtARER0yp5TU2EuM/XPZzHE03KlNxJufyIiomPiHyMiIqKee+6dUQ4+x2/XLhHsKrE7Bu+IiNbjiZCIiOjAdqnq33W6NQdBw7fNPrFLJgz3ie2xkwkRUTtOhSAiIuoZzt2mfeOA+Hm4/oiI6li8kYiIqGeeNWgRQAT1nMTiew6Gho9Bp+NiJxMionYMLBAREfXMkwePsnmO49xwUDp02wxq9zXwZScEIiJah1MhiIiIjqA5+PMDNn9HtG0u99pBnQDQLQoncUg4Goe8a97c79iNgoiImhhYICIiOrBNg7J1xeEeu1Msa17xSm9kDjcQ5N3mceCgnoiI+oZ/mIiIiI5oLjNd+WscDP/DQWQtMOCnPQhWMhE0+IKDUOrCqXVDOLXPS0T0XKyxQEREdCRhUEGCf21h/2ZQwRhATJGpUPw1r42EmJtAHfID61MoXtiW2cNsHyKizRhYICIiOgI/UGk2cNDy/+qPqw3m/O/9/AcFVOv/Jera2AMKXtvnPJXPTkT0VDxJEhERHcFcZrrSFtIHBgptg5m5zFQMICb4lSrUPv5cqoR3oLmuKLQuO4H7CRHReizeSEREtGetWQdwiQWi9e+9jYMYhYsiFBkLYVCBg5/HgwbsckCbNAumct8gInocT5RERER71jbQ9fUVNk2DCB/vn+NrKkjQBkJzZbZCoe1u87rWnpseQw4zO/qF24OI+oo1FoiIiPaoLNBY/JvLTMvBQTH1QTfURmgOguvBh8bcCfR/sFH7/DQo3HbH1ZZpc6xlISJqYmCBiIhoT5oFGp8y4m8GCgTFDAhVF1fwPxyYYw5Sm+u078GYY2FmR79xWxBRn/CEREREtAdlUKEZwm8p0PjYALtt+oSY6nV8tkPfBxrNz7mv5WW6eHcYXOgPbgsi6jMWbyQiItonRRXG19XZDjsFFcKXtcUXwbCiz0UIa8svAHT98j43MNDXdUD0VJz2QER9x6kQREREHVsJAqyWQijVBsEt8yVWpgw0XyeozdDnAXW5bNLysw04oDqup+xT3Gbd4vokoiFgYIGIiKgjPggQDsbCgIIqcGXd7670RtYO2poBBik7S5avUwtU9DacUGkbHG37Mzouv59u3GcbWOixO30OGBIReZwKQUREtCflgGBDC8maYtpEOXPCf138QGR994ihDj6agZhtak7QevuqY7FLQKH5/VD3zTbHqt8RHhdjWp9ENB7MWCAiIupAOODYVDug7U5u+NgwkLAtnwXRZ7UgC8MGezHmgEwfPlsfloGIqK96fyFCRETUd5sGHM2ODgBaOzjMZaYiRRcJP+9BFdbW/1hr8dy5qVpZvhlAYKFpXYX7dety6HdpD3Xnvg+dA7q8q9+Hz7PLsrAjCRGdKk6FICIieqZNA+LWnwswRzXQnMtMxQBiBCYqWklawObue83dS2jwmlfWveebAQ5eHgvEjOnOcDOTBThMm81jOtUBdbn+i64nRESnhFMhiIiIOrCpsN3Kz7WRyVD8DHBBBRNL8c9nMLS/3lAHcG3L7QMKOwVoqKZtHxzqPgL0b5tvWrdlRpL/ifRv+YmI9omBBSIiogO40hsp72JK4+51MQUimgBRIhBTzYbwmQxhUccxDFiaBRuPuSxj4wMMQ1+v6wJQx1iW8P3XBnAGf1QSET0dAwtEREQdWjfwqdVYaP68GJCoRdla0kRFF4gcZW9J32Ly2IOrroQDtDEES4jK4qTcm4noxIziwoSIiGgImsEFXydBDGAiQXwmiGIXQLA5kC/d6MTmgFotW02OJbDgbRtUGOrnZkG/09Jloc6xteskovHiiYqIiOhAysBCkHngB50mAkwiiKcCU3SGyFNFvnT/xpat0DT24ALRrja1pSUi6htOhSAiIjqQcB52bZBQfGWM+9JE4jIUbFHIMakKLIx1ykBz3nof59cTHcpYj3MiGi+2myQiItrBc1sGtj5PAWuBbFl8I4CIwMTqpkHkejId7FhzgSjgzxbKaRFE1G/MWCAiIjoiP1AQAaLYdYAwpggjqMtiMI1OEadgmwyGXTBQ8TS+Begx1t8x3/uY/Of1x3x43J/auiCi4TihSxQiIqLn2UcRvnIQIW7ag285GUUCaxVZ6jIWbAbY3E2PAACfwsA7mKuatSwA1O78jmmd7XMe/jHn+LcNoHd9/6Hd4W9+ZhO5QKMqyqlRwLj2XyIaD06FICIi2tG+Lux9d4goEkSJIDGCyRRIU4XNFek9kKdVIUeqKwdmja3j7/hKkad5bWduFQbrkYO1uraBfZ8H6r67ClC1bR3y3KEoEUTTokuMBZZ3LrhARNRXDCwQERH1hM3dP3O2+rtkIogTgc2BbKlI7y1UgWsUA0B1bSr7OvDryroaF2HmRxhYUHXfixGIrB+cPbd2xnMNoSXlMZdr2/c+/8hgeauwxd3963ymQzguwu0vBrXWs0REQ8DAAhER0Zb2OThRBZArsgWwNMDkHIARmEgwCSoi2cgNPGwuyBbqBst+8AwM+i7tLraea16sH1EFRCCRq1ehNsj80GoAt+mu/L6CD83Psm1mwD7n2x9zIL7L55rLTJMLweTMtVQxBlB/EASj8j5nWzSpuswkE7lgmC2mQgxl+YnoNPEERUREdECb7rj7OguTC0EydUGFUBxLOdhIlxYPdxaLW4XmbpD8Jh//wGObQaef+qDB91JkLaD42o851RZZDFq/Oxxun3Xv2XWdjae+9rGzLfbhsfoOYYbKxevI/bB4RJ4q0nuFtQrN25/fR742iIkE8QSQSAAF0nuLz7L+Lz8RnTZ2hSAiIjqQcLDUNnBSBWymSB8UywdFnrmAgRbdIeJYMJlIGWC4eBnh8mODyaVBFAuuzfPvYIeV+IdagV4RJG4U3/gAglr3fbPaflP4+fs+KG120Bi6XfY7VeD+nYUWUaFsqVi8t64WSb63Rexc+ZnVFWvNUyBfunMAbwMS0RBwKgQREVEP+LuVEoT8VYE8UxgDWAgWCwuIQZIIzqYGWabA1MBaN5BC9ry710Mr2LeWrn4rqAI0YeFGMfCdPde+xqEDLINb3x3zn3/bfVlzxf13buqAajXFZUjr8UpvJCw+qgrAwn2eAQVIiOh0DeaES0RENGSPDU79wEKK4IKJBfHUdYeIEzf9IYoFk0SQFO0ovcXS4v7O4u69RXpnYVsGItsOso7ZYvApdh30+/Urxn2sWq0FoB5kCAao+14vQ8mO6ItN232o67BWwNEXIT2RoqxENHw8SRERER1IczBU1gLQemABRdvJeOoeMDkTRLGU0yH8v+nUQBVYLi3evctx+zZHvgRs3nYL/vHByb5rCRzKY8GGZueImjK9YbXmwiCzN0ZqLPtqm6EF94iIAAYWiIiIDqrWFjEQ3pWcGxdgiBJBcu4yFqLYZSlEEWCM4OzMzZmYTgRWgbs7i7ffZljcFfPLbTEw3jEtfAyDmq2yGOTxi6B1rf6GuE6GaG5memXXr+shtOhcZ5sMFWaxENGQ8ERFRER0BHMzU/9HWAH4AVSYtRBP3CPiicDEVdZCFLmMhbMzF2zIMsXDg8XDvcXDrSJ7sK2tFE91gFILNGxYA+H2eKxt56muy0O6NjMd2zSAbTuAMKhAREPD4o1ERETHoIAGQ4YwzV4BiAJ5CpgYyPOiiJtViBHYSCFicHuriCIXbPBt6pIzACrIFrq2feJJ81Mdwu9Xv1wl2zyIuuC7m4wtqLBOW5ZQW10PIqI+Y2CBiIjoCK70Ruao35Usp0n4B6nCpoDmQF4WHVSICNJljmQimEwNFMDiQWFzhc1cq7paGr8Ac7A+AFCs6x2Ga7XBHYd5B6HN4M+J4vFKREPCExYREVGPhC3nyj/SxReuo4FAIhdsmFyKmyZhBFAgy1xgYXmntQKOPrU/DGCc2qBll8+8TQePbpaKTk14fG8KVHEfI6KhYcYCERFRH/m4gLhpEYC7k6uqEFu1S8wzwEKRZ4ps4QILaht1Aoohyrap1XOZaZQIxAD/5OGL0QxwnhNQ4UCPnmsuMy0DhkUG0sqxCu5rRDRMDCwQERENiFoA4gIMy1sgSlwtBZu5NpPNbhPuSVipK3DMivrHKEz3nGwFDvRoXyQSwLpdzk9fOsWMIiIaPnPsBSAiIqI1iqGF7xpZzj1vDDnCmgptd0Af0xxMR4nAxO6OatfC92JxOgrNZaZzM9Mx7hfhZxLjCq1KVB3I61qbEhENBQMLREREQxC0j/QZCDZXpAvXLUJzLaZKoKyn4P+FL+PTsGv/AnOZaZ4qNHff/8HFp50Nedqq3zd/H/7r6n130Vwm3jk+jLBwqUjVGWLd44ZKUGQdAYAWdVMaexj3OSIaIk6FICIi6qM1LRHLYEAj0LCutWQ5ENNqALPSObHoGhG+fZ4pxAo+S7upsdA2IAxTvvs0YOTA7jjCAXZzZ5gXgQYR4BozVQWu7GpgCujn9vPtIxVw7WELahXWrn0aEdFgMGOBiIiob4IAQC3DAGid4rAuqND2muH3VVvLlte0gM26G+uHGRR+GcNl7eNgkA4r3I8Fq60+m3f2/e99hou/+z9fk+3QByJFEVZbZBgFv2vLMCIiGgoGFoiIiPpm07Co2aZuQ1BhYxaAVi+3zj4HOeuWlYOr07GpgGhYyBBYrffRDCLUgg69DSugagHrgwsWtVawRERDxZMYERFRj4R97mtJCs3BUsu0hmZqePP1Gk8tqVap2s3nc8BDXWvuZ62dTArhvu+DC/6uP4LfuV9U379pORaOzWdVhPzn4HFGREPHjAUiIqIeKQcYRd0EX4xxRePngtUU8GYqeVmPoeUlmy3umDngHLOQ5Og1ioiKKYIHBvXpQKYIPmjR9cQGRQ9N8FqFvnZYuNIb8cd02eWFiGgkWLyRiIhoIB4tdNj46brHX9mqkNy69zh1m9L0aXe1fdAHDcKOCMUXYgDj26xawFot64xomLngn2h1JaNnENuLQQUiGpn+n3iJiIhO1KYq961TJnacq/1Y+8dTxfXSrblpTAHwa9cHGIpIggggUTHVwQI294+vJ96UbRqNuLv/uVbjdNYrICI6CmYsEBERHdGmO+OPDZAkaD256w1Qpvevx4FpxxqBhJWvAUBdlwSIFBkJQBS74IIGDxZVwEjVXUGrEiJ9m1rArBciOiWssUBERHQkzcH9NoP9cs5/Y5BWtqVse2wLDnToUMoAWPkDVAUZw6kQIu7n4ZdF3QUToZ65EHY1kSpbZ9v9+tC1MxjII6KxY2CBiIjoSHYd3D86OAl+G06V8IOoTc9noIH25Y11RQvXMUXgwESA8bm0AkSJwMSCqJlfW1Q01eBFxQDXZofAXPD9Lp9lWwwkENGp4VQIIiKinthpcK9YKVq3VlCHYY6q+0NfgwmscTBeZavIsHBjCxNVv1T4Qo7B65QP3MNCdmBd+1YiorHq6emYiIiIutDMQifa1XMHyG2ZBGLEFW0UKac8AEU7SQXyVJEtFHm6+tZXNmjbGAQbtqmxcKwgFYNjRDR2PMkRERENzFyqrIN1d/f9Y+bSqMiPeqZDXwc84Wek4wn3I+Bp+8tcZmriqp0kANfZwRSBAam+t5nbMcsgQfHfdR1PnlIgMfwsXe9nbUEY7sdEdAp4oiMiIhqwxwYyvtBj2ZIyfOCRggvPGaTS4XQ1SL42M5VIyqkPZUABcIUXLaquEECty4nv9jCEfWWlqGrPg3dERF3iVAgiIqKB2mbgd6U3UqaOh7/oaPb3rtX1Oe98OLoaEL+xN2JzhVr3z+bu56qAlj+HCyjYsjZjOeUBOHwXhyfr/xISEe0FAwtEREQD9ayBX/DMLgZsTxn4DWaweKI63Tbqii9a64IJZaChCCIA9ZaR4b7tO1GKAPMtOj8cA9u6EtGp48mOiIjoRGwa/DylE8OuqfKcfz5cXdUiKKcLNPaEda/drBGicJkMz12OfWA3EyI6ZcxYICIiOhGbBm8A9t5CggOt4epq2/mpOWHL042vLRu/JSKinuD5mYiI6AQ1K+OvdI7YomDeUzMQmu+96/Np2Hbd5nMz07L46EAKORIRnRqemImIiKg+eCv+7ynt+3Z+XwYWTs5zptBw/yAi6ieenImIiPaoq7np+/TUjIUu3rft531fX/Q8DCYREY0PT+RERERUFdUDdspWeNb7teAgc/xYxJOIaHx4EiciIjpxhxrk195H3EVIfObeQi2QL4v2g3t6fzqsTVMYnjN9hoiI+ocncyIiItp7erp/fRFAIvfSJgKk6E+lFsgzBayr8eCnZqhi69aE1B9hBowAZcCI246IaJziYy8AERERHd9BB3yqMIkgORPEiUAEyFLF8s4NQE0EZIvWJIqj6aJWxhDqbXShrNlRqwZKRERjxsACERER7VWYDaEATCSIpy6oEMUCm7tfTy8N8lyRTATRx4I8U2RLxfJeocVjVIG5zjSsA7HPAftTUvbLu/VatdQMl3XX1xsi1SrrhAEGIqLxG/UfNSIiIjqstnn1zbR4MYCJBfGZYHIm0GL6QxwLjAGSiYEASFPFcmEBAMsHBdz/kC8VNlOorb/3Pgbr5efZUNjSBw7C6R6erhlMjzmw4Lf3U9uXEhHR8JhjLwARERGNU7NuQ3kDO5J/197dZyduLGEcfqslG4+TTGZN3klmYc5OZkP35pxM7kxsA+q6f0gNLSGBjPkQ8HvOcYxtkFpyRrhL1VV1kKCSquW6joKZdD8LepiZPv9W6PPnQr9/KTV7CHr8Lejxc9DdzBROmG/51b9Z9zZMXz2KjQDEDfvq30xe/15TUOGjnu3Jh4qMAgDOj7c/AABwENsmfvldfFm9HMJC/f2yqbXw8Cno4SHo8TGoLEzLyhWr+iXRXTFKb/Oo/32v9PojavHirW17z9KDQx/bUHeDoWO9xYwF6XAtJY/dseRWlqYAwLFxEQUAAAfz3uBCKKVyVv/gvgkqPD4GPcyC7u/qxMqykIrC9O9L1N//LPXXf5d6+R4Vl1lgIcu7z++SH3vC2Hu8PcsmtrVevFbHCi4c4vydqsUqANwKLp4AAOBguhPowUCD1QGBojRZKZX3pruZ6bfPpX59DPrlsdBdaYrNq+9nruXC9PIa9Z+/Fvr7r6Xefrg8ehNYqP+k8biuxVB/Yz2WYx9vwuT0MjIWjt1iFQBuCTUWAAC4AmmSdO516F/9m6WP9HX351JTxLEutSBTXZBx/uL63/elfvyM+vlvJXepKKSydFVLU1W5Xt+iXl+iPNZtKYs7kwVTKOqikBbqqoGnmiF2j5XJae1Q56FvO8fKWDj3vx0AuGS8+QEAcAWO2XLx0FrdE6wOBliQilL69LnQly+Fvnwu9enT+v6HR+nlLWo+d33/Z3a9K2IAAAoxSURBVKmfPyrNX13V3OsigU0BSI++eiy1axxcyvnBpmPUQiBjAQAOhwsoAAAX7hKDChvtCCWFUGcgPP5e6PcmuCCrgwOLpWs+j1osXC8vddbCvCne6LFuPeleByC6wQWJSSOGXdK/HwCYKpZCAABw4S5pUrRaNhDXY07LIiyYFKQYXcvK9fOl0ts8ar6IipWvsg/c0/ObmgpSk62wDjIcosUhbsMl/fsBgKniQgoAAE7uz9BZz978RZLqJRT3pk+/Bs1mQXd3puiuIpheX6PeXmO9DGJRt6NcdYVoggtxuQ5CnHvSOJRuz13y68DvEQBqXAgBAMBZbAQX1GQhNBkJ7lIoTbNfTPezoNmnoBhdb6+ut3+jlq++6i4hressxKrOWpjChG9MQcApjFNikvxex6j7AACXigshAACYhHwSnrIQ8sCCTHr9GbWcu+LCFZslD2lZRHphWg5x7gnf2C4D5x6ntD2zIv8aAIA+vEkAAIDJaE1wmwKPedBAvi7UmJY/mEl/xG/2HJ5cPq1JcG9woRn3VMbZN8ZuYKH7/b223xz3vtvZa5+ZqZxvALhGXGABAMDkPNuTb/yV0nP/fyqTxV13/LstMKYy7qRv/PsEFfLXrLYx8Hs81jnoBqfyfR5zvwBwy7iwAgCAyem2pXRp0pPDwWUP1v5jKz+OqR1Dbuh4to15KEtgI7hw4GyNbec+32c+pkPtGwBQo90kAACYlG5QYaX5YmoTw7G1FCRdRFBBytqCZuP80DKIIxhcZrL5cPfrAAAfQmABAABMymoC6/U8fDULnFBdgvdwdY7jQrwnqLAzwyE7CR/9HT7bk6f9bew31d7Q8PneN0BCQAIAhl3cmzMAALgNl1KAb9SEMytcKE3zOD7qEIUe99nPSl5PoW/PHzj/reUcFxrgAoBj4qIIAAAm7dme/BImct1x7go4XMIxTc3OIE4ewBmosSC979wfu0YEAFyD8twDAAAA6JMm6pcyieuOc1uQ4VKOaSo2Ago93R56vz6QLTEKAIAILAAAgAnqrqG/xYn4LR97V1/7y94Zfp6xcID2pN19ElQAgH43/0YFAACmY1uq+6VPsPNje28xxGO3Z5z6uR1dx0I6SEBh176nfr4A4NS4KAIAgEm5xonce45pZ4eF9+5zRx7/VM7trloarfPSd0wDgYVDdKE41LYA4FpxcQQAAJNxjUEF6f3HNSa4sCu7IxUdXK0O2HLPfwrneMwEPg+W9MYRrrzzBgBMVTj3AAAAAJJrnQxuK+zYlSbPZlIopFCaQiFZkJ7Dk49aFpC45K5VJ4O+/XaDFfnH6P18UHdfu/a9cRDNMQIAzoPijQAAYFKuNbgwRsoyCEEKd6a46DRDaM7Mn+HJQ1EHHGRSrKS4dHkct8Si+5xTBhEOoa+jZG6f/4euNVsGAE6BiyUAAMCEPIcnD0EqH0zFnclMqhbS8s0VK5eZZIWpKCWPqv+aMykupFjVwYWWvFNCJk2adwUVdgUqDjX5Pmdxy2suGgoAp0DGAgAAwEQ825ObScWdqShNIZhidIVSCss6kOAuKdaPrTTJU0ChE1Swnsed6fPYTIVtz9tVdHGsfbbBpB8ApoGLMQAAwIQ825OHQipmpvK+DhwsF65qLnlsaheaFApbV8vyeilErLINZYUbW0kLnQKH714G0dOR4ZjtMLdlTBxivxvH35PhQQADALbjIgkAADDCKdbgrwo3hjprwQqtshDiYmCZg9YFGvt+1rsSYksowazztPy5fdv04yyHSONIYzjm5L7byrLbSYPAAgBsR1cIAACAiUidGzxKy7lr+eqq5q7qzRWbZRCtj2ZJxK4JcFOGYXCfq+dZHdSwoM2lFJ2AQ/7jQ3SSaLWSLNZjsO7Pj2B1Dqxznuz4+waAa0D0FQAAYIShyeUx7mb37quTerCrqGK6418HCuovYtVsIH3KtpeCCjJb/SAFMNLu00tXjwem2/uek9QVw4JkzThSAOUUWQNp/ysjzjcAgIwFAACAvR1rstm73ZH3zFsZCIWpuDcV91JxVy+vCIXJ0kdoLznw9J/sm6bmy+ajVQfygEefB0RsYz3GcbMGerMtyFEAgNEILAAAAIwwpTvW21pF5nf95a5Qmu5mQeUsqLiv6zaEomej+ZY6aQr1ZD8LMOiwaa+t4/CmSGUnHeJk57+nXsWUfvcAMEW0mwQAABjpPR0Ktt1hHzNR7evY0BdQSI/7tnn3GHT/YDKTqmpdCFIuhSBFbxdh9Ch5Xmegszyit0jkHsfWK+03JUvE0xRuBAB8HIEFAACAD0gT+762hUO1CHa1SswLGa74yNdZHTQoH0weXR7rtpQhFWVcpsKPvq6h0MpWaO/XXbJONGGjW4Q+XlehvfHT2qvtJgBghcACAADAnnZORrOlBN0J/FA2Qnr83onu6vnNq+JSun80hUKKlbSYuxYvLneXmmwAGwgFeBNcsLzWY5Pd8DUOL8M4hEm0eUyFMpvPQ1kh27JFAOCWEFgAAAAYoTuRtlCn65v138HvTtpbaf47puTdIEHXtsBD1tRBy7mrWtbbSTUZV8sh1H68waU/0n569pTG8JFJdfc4XefLHmgtM0l739IVorscheACgFvGBRAAAGCEvsBCauMo97omQDe4kJfJHpoqN3fFvXOXvm9y3Td57XuehaYDRNmM0aVquS6oEKtmKUR8//4ObVvmxjmMbSt6rvMFAFPExQ8AAEzeue8IbwQVrB1YiJW3ggNSz5136/nDK+vduC2LYVQ9hmxsq/1ZM8asq0OMTWHEJrCwMdZWP8nbnCyPCXZMLSACAOfEBRAAAEzWVCZvvVkBJllRD8ebjIWhyXg3wNDzcOfyiCTf9raCka1WkU0AxMK61oO7FJe+NWOh71iwlp8zzhOAW8YFEAAAXIxzZi70TuLTMgZp1B3+vm0oe20vW9cSHNUxodO2sfWjbOmGVC+J2BqoEBNmAMBuvFEAAIBJ6gYRzr0couuj2RSjChT2LJ9w31Hg0FqfNpZbWBZbGFM3QCK4AADYjjcJAACAPR2q3eC2IEPeXWJM1kK+tMFMvcUh/wxZPQWX/tjSQpKgAgBgF94oAAAAJqA3uNDJWEiBhaGMhcF6Cdl23KVQ1PUhTHXhybQkgowFAMA+eJMAAACYsGd78pRZMDTBH8qcSN/Psx4UpKJor5eoFv2tJwkoAADG4M0CAABgT1PpWtE12IKyEUqThfqxxzqwMJWxAwAuTzj3AAAAAC5R37KBUQUZT+Crf7M8UODZZ3fJoysuvX48iREDAC4ZkWkAAIA95UsGpta1oqs71nUPy+lkWgAAAAAAcDPSRP3Znjx9nHtMAACcA0shAAAA9sBdfgAAAAAAcFPIqgAAAAAAAO/GUg0AwDGxFAIAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACX4v+RWHH4UyNmkAAAAABJRU5ErkJggg==",[[52.6153788413206,-71.2395485484464],[45.1506017261565,-55.8059336021561]],1,null,"Fish","Fish"]},{"method":"addRasterImage","args":["data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAABBYAAAL8CAYAAABULTZ0AAAgAElEQVR4nOzae8xt+V3f93Xbez/7uZ/bnLmPscGA6wCloEAKIrWFoI1ClLRRW0WINKoi9Y+kMq0EolzKJY5AOKQmKb3QtICTSgkKolIiNVXTEqomUCA25WKb8die8XhmzpzznHOe276v1T+qIlIs8vGPZ+Y5Z87r9efoPb912Wutvc73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] --- # Package [`leaflet`](https://cran.r-project.org/package=leaflet) ## Add rasters **A couple warnings:** - `leaflet` uses the [EPSG:3857](https://spatialreference.org/ref/sr-org/7483/) projection and will convert the layers you add automatically. You may want to reproject your rasters manually with argument `project = FALSE` in `addStarsImage()` (or `addRasterImage()`) to save computing time. -- - Raster size is limited by default. Use argument `maxBytes` in `addStarsImage()` to change this. (Hint: try to add `bathy.tif` to a leaflet map) --- # Package [`leaflet`](https://cran.r-project.org/package=leaflet) - Leaflet maps can be exported using `saveWidget()` from the `htmlwidget` package ```r dir.create('output') htmlwidgets::saveWidget(lf, file="output/lf.html") ``` --- # Resources ### [Leaflet for R](https://rstudio.github.io/leaflet/) ### [Cheatsheet](https://raw.githubusercontent.com/rstudio/cheatsheets/master/leaflet.pdf) --- # Package [`mapview`](https://cran.r-project.org/package=mapview) ## <svg viewBox="0 0 581 512" style="height:1em;fill:currentColor;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M581 226.6C581 119.1 450.9 32 290.5 32S0 119.1 0 226.6C0 322.4 103.3 402 239.4 418.1V480h99.1v-61.5c24.3-2.7 47.6-7.4 69.4-13.9L448 480h112l-67.4-113.7c54.5-35.4 88.4-84.9 88.4-139.7zm-466.8 14.5c0-73.5 98.9-133 220.8-133s211.9 40.7 211.9 133c0 50.1-26.5 85-70.3 106.4-2.4-1.6-4.7-2.9-6.4-3.7-10.2-5.2-27.8-10.5-27.8-10.5s86.6-6.4 86.6-92.7-90.6-87.9-90.6-87.9h-199V361c-74.1-21.5-125.2-67.1-125.2-119.9zm225.1 38.3v-55.6c57.8 0 87.8-6.8 87.8 27.3 0 36.5-38.2 28.3-87.8 28.3zm-.9 72.5H365c10.8 0 18.9 11.7 24 19.2-16.1 1.9-33 2.8-50.6 2.9v-22.1z"></path></svg> package [`mapview`](https://cran.r-project.org/package=mapview) .font90[12/2015 (1.0.0) &nbsp; // &nbsp; 08/2020 (2.9.0)] > `mapview` provides functions to very quickly and conveniently create interactive visualisations of spatial data. It’s main goal is to fill the gap of quick (not presentation grade) interactive plotting to examine and visually investigate both aspects of spatial data, the geometries and their attributes. -- * <svg viewBox="0 0 512 512" style="height:1em;fill:currentColor;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M256 8C119.043 8 8 119.083 8 256c0 136.997 111.043 248 248 248s248-111.003 248-248C504 119.083 392.957 8 256 8zm0 110c23.196 0 42 18.804 42 42s-18.804 42-42 42-42-18.804-42-42 18.804-42 42-42zm56 254c0 6.627-5.373 12-12 12h-88c-6.627 0-12-5.373-12-12v-24c0-6.627 5.373-12 12-12h12v-64h-12c-6.627 0-12-5.373-12-12v-24c0-6.627 5.373-12 12-12h64c6.627 0 12 5.373 12 12v100h12c6.627 0 12 5.373 12 12v24z"></path></svg> In recent version, `mapview` depends on `leafem`. --- # Package [`mapview`](https://cran.r-project.org/package=mapview) .pull-left2[ ```r library(mapview) mv <- mapview(hyp) + mapview(fish) + mapview(acid) mv@map ``` ] .pull-right2[ <div id="htmlwidget-1cdf2785668acf0dd90f" style="width:100%;height:486px;" class="leaflet html-widget"></div> <script type="application/json" 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');\n }\n });\n\n // remove the lnlt div when mouse leaves map\n map.on('mouseout', function (e) {\n var strip = document.querySelector('.lnlt');\n if( strip !==null) strip.remove();\n });\n\n };\n\n //$(el).keypress(67, function(e) {\n map.on('preclick', function(e) {\n if (e.originalEvent.ctrlKey) {\n if (document.querySelector('.lnlt') === null) lnlt = addElement();\n lnlt.text(\n ' lon: ' + (e.latlng.lng).toFixed(5) +\n ' | lat: ' + (e.latlng.lat).toFixed(5) +\n ' | zoom: ' + map.getZoom() + ' ');\n var txt = document.querySelector('.lnlt').textContent;\n console.log(txt);\n //txt.innerText.focus();\n //txt.select();\n setClipboardText('\"' + txt + '\"');\n }\n });\n\n }\n ).call(this.getMap(), el, x, data);\n}","data":null},{"code":"function(el, x, data) {\n return (function(el,x,data){\n var map = this;\n\n map.on('keypress', function(e) {\n console.log(e.originalEvent.code);\n var key = e.originalEvent.code;\n if (key === 'KeyE') {\n var bb = this.getBounds();\n var txt = JSON.stringify(bb);\n console.log(txt);\n\n setClipboardText('\\'' + txt + '\\'');\n }\n })\n }).call(this.getMap(), el, x, data);\n}","data":null}]}}</script> ] --- # Package [`mapview`](https://cran.r-project.org/package=mapview) ```r dir.create('output') mapshot(mv, url = 'output/map.html') ``` The interactive map can then be shared with the `html` file and `map_files/` folder. --- class: inverse, center, middle # <svg viewBox="0 0 512 512" style="height:1em;fill:currentColor;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M256 8C119.043 8 8 119.083 8 256c0 136.997 111.043 248 248 248s248-111.003 248-248C504 119.083 392.957 8 256 8zm0 110c23.196 0 42 18.804 42 42s-18.804 42-42 42-42-18.804-42-42 18.804-42 42-42zm56 254c0 6.627-5.373 12-12 12h-88c-6.627 0-12-5.373-12-12v-24c0-6.627 5.373-12 12-12h12v-64h-12c-6.627 0-12-5.373-12-12v-24c0-6.627 5.373-12 12-12h64c6.627 0 12 5.373 12 12v100h12c6.627 0 12 5.373 12 12v24z"></path></svg> Exercise ![:custom_hr]() ## <svg viewBox="0 0 512 512" style="height:1em;fill:currentColor;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M256 8C119 8 8 119 8 256s111 248 248 248 248-111 248-248S393 8 256 8zm0 448c-110.5 0-200-89.5-200-200S145.5 56 256 56s200 89.5 200 200-89.5 200-200 200zm61.8-104.4l-84.9-61.7c-3.1-2.3-4.9-5.9-4.9-9.7V116c0-6.6 5.4-12 12-12h32c6.6 0 12 5.4 12 12v141.7l66.8 48.6c5.4 3.9 6.5 11.4 2.6 16.8L334.6 349c-3.9 5.3-11.4 6.5-16.8 2.6z"></path></svg> ~40min --- # Package [`leaflet`](https://cran.r-project.org/package=leaflet) <div class="countdown" id="timer_605bbcda" style="right:0;bottom:0;" data-warnwhen="0"> <code class="countdown-time"><span class="countdown-digits minutes">40</span><span class="countdown-digits colon">:</span><span class="countdown-digits seconds">00</span></code> </div> ### .font90[Generate a leaflet map with:] .font80[ - Two tile providers (hint: visit [this](http://leaflet-extras.github.io/leaflet-providers/preview/index.html) website) - `hyp` and `acid` - Set view to Service Canada Building (45 Alderney Dr. Dartmouth, NS B2Y 2N6) - Get coordinates from [Google Maps](https://www.google.ca/maps) or [OpenStreetMap](https://www.openstreetmap.org/) ] ### .font90[Use a custom color palette to render the rasters (hint: look up [`colorNumeric()`](https://www.rdocumentation.org/packages/leaflet/versions/2.0.3/topics/colorNumeric))] ### .font90[Render a single raster on map startup (hint: look up [`hideGroup()`](https://rdrr.io/cran/leaflet/man/showGroup.html))] ### .font90[Recreate the map you generated before with `leaflet` using `mapview`] -- ### .font90[Export it as a `html` file in the `output/` folder] -- ### .font90[Send it to your best friend!] --- # Solution `leaflet` .font90[ ```r # Colors cols <- c("#c7cbce", "#687677", "#222d3d", "#25364a", "#172434", "#ad6a11", "#e6a331", "#e4be29", "#f2ea8b") # Leaflet map leaflet() %>% setView(lng = -63.569130, lat = 44.6652645, zoom = 5) %>% addProviderTiles('Esri.OceanBasemap', group = 'Ocean') %>% addProviderTiles("OpenTopoMap", group = "Topo") %>% addStarsImage(hyp, group = 'Hyp', project = FALSE, colors = colorNumeric(cols, hyp[[1]], na.color = "transparent")) %>% addStarsImage(acid, group = 'Acid', project = FALSE, colors = colorNumeric(cols, acid[[1]], na.color = "transparent")) %>% # Reset layer selection addLayersControl(baseGroups = c('Ocean', 'Topo'), overlayGroups = c('Hyp','Acid'), position = 'topleft') %>% # Hide 2 layers hideGroup(c("Fish","Acid")) ``` <div id="htmlwidget-26d2acbd512af5f12111" style="width:648px;height:486px;" class="leaflet html-widget"></div> <script type="application/json" 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",[[52.6153788413206,-71.2395485484464],[45.15060172615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",[[52.6153788413206,-71.2395485484464],[45.1506017261565,-55.8059336021561]],1,null,"Acid","Acid"]},{"method":"addLayersControl","args":[["Ocean","Topo"],["Hyp","Acid"],{"collapsed":true,"autoZIndex":true,"position":"topleft"}]},{"method":"hideGroup","args":[["Fish","Acid"]]}],"limits":{"lat":[45.1506017261565,52.6153788413206],"lng":[-71.2395485484464,-55.8059336021561]}},"evals":[],"jsHooks":[]}</script> ] --- # Solution `mapview` ```r # Color ramp palette pal <- colorRampPalette(cols) # Mapview mv <- mapview(hyp, col.regions = pal) + mapview(acid, col.regions = pal) # Export dir.create('output') mapshot(mv, url = 'output/mapviewEx.html') # Send email # Not actually going to do this! But! If you want to send emails through R, check this blog post: # https://blog.mailtrap.io/r-send-email/ ```