Skip to content
Snippets Groups Projects
Commit f06fa22e authored by 전승곤's avatar 전승곤
Browse files

What do you mean adding a shader??

parents
No related branches found
No related tags found
No related merge requests found
Pipeline #1846 failed
var gl;
function testGLError(functionLastCalled) {
var lastError = gl.getError();
if (lastError != gl.NO_ERROR) {
alert(functionLastCalled + " failed (" + lastError + ")");
return false;
}
return true;
}
function initialiseGL(canvas) {
try {
// Try to grab the standard context. If it fails, fallback to experimental
gl = canvas.getContext("webgl") || canvas.getContext("experimental-webgl");
gl.viewport(0, 0, canvas.width, canvas.height);
}
catch (e) {
}
if (!gl) {
alert("Unable to initialise WebGL. Your browser may not support it");
return false;
}
return true;
}
var shaderProgram;
function initialiseBuffer() {
// Create a texture.
var texture = gl.createTexture();
gl.bindTexture(gl.TEXTURE_2D, texture);
// Fill the texture with a 1x1 blue pixel.
gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, 1, 1, 0, gl.RGBA, gl.UNSIGNED_BYTE,
new Uint8Array([0, 0, 255, 255]));
// Asynchronously load an image
var image = new Image();
image.src = "data:image/png;base64,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";
//image.src = "data:image/jpeg;base64,/9j/4SFzRXhpZgAASUkqAAgAAAAPAAABAwABAAAAEBEAAAEBAwABAAAAYAsAAAIBAwADAAAAwgAAAAYBAwABAAAAAgAAAA8BAgAGAAAAyAAAABABAgANAAAAzgAAABIBAwABAAAAAQAAABUBAwABAAAAAwAAABoBBQABAAAA2wAAABsBBQABAAAA4wAAACgBAwABAAAAAgAAADEBAgAeAAAA6wAAADIBAgAUAAAACQEAABMCAwABAAAAAgAAAGmHBAABAAAAIAEAABAEAAAIAAgACABDYW5vbgBDYW5vbiBFT1MgNUQAwMYtABAnAADAxi0AECcAAEFkb2JlIFBob3Rvc2hvcCBDUzYgKFdpbmRvd3MpADIwMTc6MDc6MTQgMTg6MzE6MjkAAAAAHACaggUAAQAAAHYCAACdggUAAQAAAH4CAAAiiAMAAQAAAAEAAAAniAMAAQAAAGQAAAAAkAcABAAAADAyMjEDkAIAFAAAAIYCAAAEkAIAFAAAAJoCAAABkQcABAAAAAECAwABkgoAAQAAAK4CAAACkgUAAQAAALYCAAAEkgoAAQAAAL4CAAAFkgUAAQAAAMYCAAAHkgMAAQAAAAYAAAAJkgMAAQAAABAAAAAKkgUAAQAAAM4CAACGkgcACAEAANYCAAAAoAcABAAAADAxMDABoAMAAQAAAAEAAAACoAQAAQAAAGIBAAADoAQAAQAAANgBAAAFoAQAAQAAAPADAAAOogUAAQAAAN4DAAAPogUAAQAAAOYDAAAQogMAAQAAAAIAAAABpAMAAQAAAAAAAAACpAMAAQAAAAEAAAADpAMAAQAAAAAAAAAGpAMAAQAAAAAAAAAAAAAAAQAAADwAAAA/AAAACgAAADIwMTc6MDI6MjcgMTg6MDU6MDAAMjAxNzowMjoyNyAxODowNTowMAAAAAYAAAABAABgBQAAAAEAAAAAAAEAAABxAgAA6AMAADIAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgKZCAIcFAAAAbywArgMAAAAAAgABAAIABAAAAFI5OAACAAcABAAAADAxMDAAAAAAAAAGAAMBAwABAAAABgAAABoBBQABAAAAXgQAABsBBQABAAAAZgQAACgBAwABAAAAAgAAAAECBAABAAAAbgQAAAICBAABAAAA/RwAAAAAAABIAAAAAQAAAEgAAAABAAAA/9j/4gxYSUNDX1BST0ZJTEUAAQEAAAxITGlubwIQAABtbnRyUkdCIFhZWiAHzgACAAkABgAxAABhY3NwTVNGVAAAAABJRUMgc1JHQgAAAAAAAAAAAAAAAAAA9tYAAQAAAADTLUhQICAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABFjcHJ0AAABUAAAADNkZXNjAAABhAAAAGx3dHB0AAAB8AAAABRia3B0AAACBAAAABRyWFlaAAACGAAAABRnWFlaAAACLAAAABRiWFlaAAACQAAAABRkbW5kAAACVAAAAHBkbWRkAAACxAAAAIh2dWVkAAADTAAAAIZ2aWV3AAAD1AAAACRsdW1pAAAD+AAAABRtZWFzAAAEDAAAACR0ZWNoAAAEMAAAAAxyVFJDAAAEPAAACAxnVFJDAAAEPAAACAxiVFJDAAAEPAAACAx0ZXh0AAAAAENvcHlyaWdodCAoYykgMTk5OCBIZXdsZXR0LVBhY2thcmQgQ29tcGFueQAAZGVzYwAAAAAAAAASc1JHQiBJRUM2MTk2Ni0yLjEAAAAAAAAAAAAAABJzUkdCIElFQzYxOTY2LTIuMQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAWFlaIAAAAAAAAPNRAAEAAAABFsxYWVogAAAAAAAAAAAAAAAAAAAAAFhZWiAAAAAAAABvogAAOPUAAAOQWFlaIAAAAAAAAGKZAAC3hQAAGNpYWVogAAAAAAAAJKAAAA+EAAC2z2Rlc2MAAAAAAAAAFklFQyBodHRwOi8vd3d3LmllYy5jaAAAAAAAAAAAAAAAFklFQyBodHRwOi8vd3d3LmllYy5jaAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABkZXNjAAAAAAAAAC5JRUMgNjE5NjYtMi4xIERlZmF1bHQgUkdCIGNvbG91ciBzcGFjZSAtIHNSR0IAAAAAAAAAAAAAAC5JRUMgNjE5NjYtMi4xIERlZmF1bHQgUkdCIGNvbG91ciBzcGFjZSAtIHNSR0IAAAAAAAAAAAAAAAAAAAAAAAAAAAAAZGVzYwAAAAAAAAAsUmVmZXJlbmNlIFZpZXdpbmcgQ29uZGl0aW9uIGluIElFQzYxOTY2LTIuMQAAAAAAAAAAAAAALFJlZmVyZW5jZSBWaWV3aW5nIENvbmRpdGlvbiBpbiBJRUM2MTk2Ni0yLjEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAHZpZXcAAAAAABOk/gAUXy4AEM8UAAPtzAAEEwsAA1yeAAAAAVhZWiAAAAAAAEwJVgBQAAAAVx/nbWVhcwAAAAAAAAABAAAAAAAAAAAAAAAAAAAAAAAAAo8AAAACc2lnIAAAAABDUlQgY3VydgAAAAAAAAQAAAAABQAKAA8AFAAZAB4AIwAoAC0AMgA3ADsAQABFAEoATwBUAFkAXgBjAGgAbQByAHcAfACBAIYAiwCQAJUAmgCfAKQAqQCuALIAtwC8AMEAxgDLANAA1QDbAOAA5QDrAPAA9gD7AQEBBwENARMBGQEfASUBKwEyATgBPgFFAUwBUgFZAWABZwFuAXUBfAGDAYsBkgGaAaEBqQGxAbkBwQHJAdEB2QHhAekB8gH6AgMCDAIUAh0CJgIvAjgCQQJLAlQCXQJnAnECegKEAo4CmAKiAqwCtgLBAssC1QLgAusC9QMAAwsDFgMhAy0DOANDA08DWgNmA3IDfgOKA5YDogOuA7oDxwPTA+AD7AP5BAYEEwQgBC0EOwRIBFUEYwRxBH4EjASaBKgEtgTEBNME4QTwBP4FDQUcBSsFOgVJBVgFZwV3BYYFlgWmBbUFxQXVBeUF9gYGBhYGJwY3BkgGWQZqBnsGjAadBq8GwAbRBuMG9QcHBxkHKwc9B08HYQd0B4YHmQesB78H0gflB/gICwgfCDIIRghaCG4IggiWCKoIvgjSCOcI+wkQCSUJOglPCWQJeQmPCaQJugnPCeUJ+woRCicKPQpUCmoKgQqYCq4KxQrcCvMLCwsiCzkLUQtpC4ALmAuwC8gL4Qv5DBIMKgxDDFwMdQyODKcMwAzZDPMNDQ0mDUANWg10DY4NqQ3DDd4N+A4TDi4OSQ5kDn8Omw62DtIO7g8JDyUPQQ9eD3oPlg+zD88P7BAJECYQQxBhEH4QmxC5ENcQ9RETETERTxFtEYwRqhHJEegSBxImEkUSZBKEEqMSwxLjEwMTIxNDE2MTgxOkE8UT5RQGFCcUSRRqFIsUrRTOFPAVEhU0FVYVeBWbFb0V4BYDFiYWSRZsFo8WshbWFvoXHRdBF2UXiReuF9IX9xgbGEAYZRiKGK8Y1Rj6GSAZRRlrGZEZtxndGgQaKhpRGncanhrFGuwbFBs7G2MbihuyG9ocAhwqHFIcexyjHMwc9R0eHUcdcB2ZHcMd7B4WHkAeah6UHr4e6R8THz4faR+UH78f6iAVIEEgbCCYIMQg8CEcIUghdSGhIc4h+yInIlUigiKvIt0jCiM4I2YjlCPCI/AkHyRNJHwkqyTaJQklOCVoJZclxyX3JicmVyaHJrcm6CcYJ0kneierJ9woDSg/KHEooijUKQYpOClrKZ0p0CoCKjUqaCqbKs8rAis2K2krnSvRLAUsOSxuLKIs1y0MLUEtdi2rLeEuFi5MLoIuty7uLyQvWi+RL8cv/jA1MGwwpDDbMRIxSjGCMbox8jIqMmMymzLUMw0zRjN/M7gz8TQrNGU0njTYNRM1TTWHNcI1/TY3NnI2rjbpNyQ3YDecN9c4FDhQOIw4yDkFOUI5fzm8Ofk6Njp0OrI67zstO2s7qjvoPCc8ZTykPOM9Ij1hPaE94D4gPmA+oD7gPyE/YT+iP+JAI0BkQKZA50EpQWpBrEHuQjBCckK1QvdDOkN9Q8BEA0RHRIpEzkUSRVVFmkXeRiJGZ0arRvBHNUd7R8BIBUhLSJFI10kdSWNJqUnwSjdKfUrESwxLU0uaS+JMKkxyTLpNAk1KTZNN3E4lTm5Ot08AT0lPk0/dUCdQcVC7UQZRUFGbUeZSMVJ8UsdTE1NfU6pT9lRCVI9U21UoVXVVwlYPVlxWqVb3V0RXklfgWC9YfVjLWRpZaVm4WgdaVlqmWvVbRVuVW+VcNVyGXNZdJ114XcleGl5sXr1fD19hX7NgBWBXYKpg/GFPYaJh9WJJYpxi8GNDY5dj62RAZJRk6WU9ZZJl52Y9ZpJm6Gc9Z5Nn6Wg/aJZo7GlDaZpp8WpIap9q92tPa6dr/2xXbK9tCG1gbbluEm5rbsRvHm94b9FwK3CGcOBxOnGVcfByS3KmcwFzXXO4dBR0cHTMdSh1hXXhdj52m3b4d1Z3s3gReG54zHkqeYl553pGeqV7BHtje8J8IXyBfOF9QX2hfgF+Yn7CfyN/hH/lgEeAqIEKgWuBzYIwgpKC9INXg7qEHYSAhOOFR4Wrhg6GcobXhzuHn4gEiGmIzokziZmJ/opkisqLMIuWi/yMY4zKjTGNmI3/jmaOzo82j56QBpBukNaRP5GokhGSepLjk02TtpQglIqU9JVflcmWNJaflwqXdZfgmEyYuJkkmZCZ/JpomtWbQpuvnByciZz3nWSd0p5Anq6fHZ+Ln/qgaaDYoUehtqImopajBqN2o+akVqTHpTilqaYapoum/adup+CoUqjEqTepqaocqo+rAqt1q+msXKzQrUStuK4trqGvFq+LsACwdbDqsWCx1rJLssKzOLOutCW0nLUTtYq2AbZ5tvC3aLfguFm40blKucK6O7q1uy67p7whvJu9Fb2Pvgq+hL7/v3q/9cBwwOzBZ8Hjwl/C28NYw9TEUcTOxUvFyMZGxsPHQce/yD3IvMk6ybnKOMq3yzbLtsw1zLXNNc21zjbOts83z7jQOdC60TzRvtI/0sHTRNPG1EnUy9VO1dHWVdbY11zX4Nhk2OjZbNnx2nba+9uA3AXcit0Q3ZbeHN6i3ynfr+A24L3hROHM4lPi2+Nj4+vkc+T85YTmDeaW5x/nqegy6LzpRunQ6lvq5etw6/vshu0R7ZzuKO6070DvzPBY8OXxcvH/8ozzGfOn9DT0wvVQ9d72bfb794r4Gfio+Tj5x/pX+uf7d/wH/Jj9Kf26/kv+3P9t////7QAMQWRvYmVfQ00AAf/uAA5BZG9iZQBkgAAAAAH/2wCEAAwICAgJCAwJCQwRCwoLERUPDAwPFRgTExUTExgRDAwMDAwMEQwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwBDQsLDQ4NEA4OEBQODg4UFA4ODg4UEQwMDAwMEREMDAwMDAwRDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDP/AABEIAKAAeAMBIgACEQEDEQH/3QAEAAj/xAE/AAABBQEBAQEBAQAAAAAAAAADAAECBAUGBwgJCgsBAAEFAQEBAQEBAAAAAAAAAAEAAgMEBQYHCAkKCxAAAQQBAwIEAgUHBggFAwwzAQACEQMEIRIxBUFRYRMicYEyBhSRobFCIyQVUsFiMzRygtFDByWSU/Dh8WNzNRaisoMmRJNUZEXCo3Q2F9JV4mXys4TD03Xj80YnlKSFtJXE1OT0pbXF1eX1VmZ2hpamtsbW5vY3R1dnd4eXp7fH1+f3EQACAgECBAQDBAUGBwcGBTUBAAIRAyExEgRBUWFxIhMFMoGRFKGxQiPBUtHwMyRi4XKCkkNTFWNzNPElBhaisoMHJjXC0kSTVKMXZEVVNnRl4vKzhMPTdePzRpSkhbSVxNTk9KW1xdXl9VZmdoaWprbG1ub2JzdHV2d3h5ent8f/2gAMAwEAAhEDEQA/APROndO6e7p+K52LSSaayT6bf3W/yVY/ZnTv+4tP/bbf/IpdM/5Oxf8Aia/+parKSmt+zOnf9xaf+22/+RS/ZnTv+4tP/bbf/Iqykkprfszp3/cWn/ttv/kUv2Z07/uLT/223/yKsqh1TrnTOktBzbhW5wLms5cQ36RDUlJv2Z07/uLT/wBtt/8AIpfszp3/AHFp/wC22/8AkVxGT/jXra9/2bpzn1jSs22hjj/Ke1jLtn9T9IqLv8bHUt+mJjhvdsvkHysn3f8AbSSn0X9mdO/7i0/9tt/8il+zOnf9xaf+22/+RXG4H+M6myftmMa40DW6knwa8f8Af66mf8Kutx+s9PvoF3rNrboHbyBtLjtY1zp2e/8Awf8ApPzElJf2Z07/ALi0/wDbbf8AyKX7M6d/3Fp/7bb/AORVlJJTW/ZnTv8AuLT/ANtt/wDIpfszp3/cWn/ttv8A5FWUklOd1Hp3T29PynNxaQRTYQfTb+67+SkrHU/+Tsr/AImz/qXJJKf/0PTOmf8AJ2L/AMTX/wBS1WVW6Z/ydi/8TX/1LVZSUpJJZP1p60OidEvzg3fdpVjsPBtsOyvd/IZ/OP8A5DElPP8A1v8Ar5b069/TemVgZAA35dkFrN3+gpP867/hLP0P/HrzPO6jkZl7rsm599zvpWWOLnH7/wDoqF91tr7LL7HW22EusscZc4nu4qs7hJLJ1hfzwOyUgiA3XxCGkRB8+6KEpe4fSk+Cu43WMlljHWhuS2sktpyh6tUu0e4VuO1tu1v879NZpOiluiElPpv1F+uFbrXdMzXtorc4uxGGfTYD/gK7Xlz/AGu3v/TP/wCJ9P0/SXoK+d6L2hwD52Eje3xAIdC9z+rOdTndFxbarTcGs2FztHe07B6jf39rUFOqkkkkprdT/wCTsr/ibP8AqXJJdT/5Oyv+Js/6lySSn//R9M6Z/wAnYv8AxNf/AFLVZVbpn/J2L/xNf/UtVlJSlwP+Nh1v2bp1e6KnWWEsnlwaAH7f+DrdZ/24u+XBf42Gu+ydNeGy0W2NLvAuYIb/AGtqSQ+ZWv8AvJgKDok+Q0TWA7ifBOymyxrnD6DAJPmeAlsrUlZpEyNVPZMHzhWOn9JzM+30sZhIb9J/bXgLqOnfUZjaq7M15fdEvrafaCfzN38n99MnljHc/RkhhnLYady8b6TyNAU3puB1C9Hd9XcRrHMaxrY4gR2XJ53S/s2XbW4hwYC4EJsMwkSKpdPAYga24jRpHivR/wDFZY91t1bLgW1Mi3HMBw3HdVkVx7rK9LK7t30LfTXnnpkOhd7/AIqcZx6lm5QJAqqbU4RoRY71B7v3mej/AOCKVhfTUkkkkNbqf/J2V/xNn/UuSS6n/wAnZX/E2f8AUuSSU//S9M6Z/wAnYv8AxNf/AFLVZVbpn/J2L/xNf/UtVlJSlyP+MtjLuiU0wDb9oFjJnQMa8Wu/zbNn/XF1y5v664ospw8l2rKrTW8eVg/8nW1NkSIkhfiiJTAOx/kHyfp/T3Zdt4I0qaD95WjZ0nHrxWsdYGu5OsCfzj/ZatHoWM0P6hpANzA3+qGuc3/q1rs6Jjve28MBtbqHRqD/ACY+ioZ5DxeGjZx4hw6jXUfi5vS6On1kP6ZnNubWPfWx4cNB3aulx7RZSXeCzx0vHxaxsqYz03b6wBAa4t9Le3+V6X6L/iv0avdOrDcQt7cKGWp3P1ZYih0+jjdWswDYH9QyjVXMAF5a3X+Sz95VbMTouSPTou3bmh0ydxadWObv2v2O/NW9Z0jGud6j62vOgdImdv0dyKOl45O81tLgAAY7D6Lf7KIOg1N/goxF61X/ADngesdJdh/Z7hqyxzmD5e5q9C/xb4DMPpeSXGb7rg60RG0bGemz/q1lfWLBbZh47docW5VRA8vcH/8AQXWfV2iuurKsYI9W6Y8AGM0U2OZPCPO2vlxxAnL+7w/9066SSSnazW6n/wAnZX/E2f8AUuSS6n/ydlf8TZ/1LkklP//T9M6Z/wAnYv8AxNf/AFLVZVbpn/J2L/xNf/UtVlJSlV6pgsz8C7Edp6jfafBw91bv7LwrSSSQSCCOj51Vh3YWRZVdW6tz2tJ3N2y5pduP/gi1cWwQAtz6x0m3pVjgJdSW2t/smHf+BueuZot0EKrljwnu3cU+ME1WqfqJ/RtqYQ2y521rj2AG97v81qFh9R6bX05+QMlj8esEuuadzQG/T+j+6le5l42WN3+E9vP+Snx3Y1W3a9stkOcDqNPb7vpKJl6NzEta9gcx4sqsAfW8cFrhuarDnDaqofWxgDQIcZBHc907nkhK+iCyZjWZeQwVsNnpS4mJAc72M59v0fUXRYGKMXGZVy76Tz4uOrlU6DVtxXXHm55g+TfZ/wBVvWmrWKAAEupDTzZCSY9AVJJJKVha3U/+Tsr/AImz/qXJJdT/AOTsr/ibP+pckkp//9T0zpn/ACdi/wDE1/8AUtVlVumf8nYv/E1/9S1WUlKSSSSUxsrZbW6t4ljwWuHiCIK4TJxrcDLfi2zLD7HfvMP0LB/W/wCrXerhfrXn039WBxbG3NoZ6NpaZAsa57n17v369/v/AO21FnA4b7M/LSInXQor8anKbstbubyBMfkTVdLw2uA+zVuBEGQoYuU06PMHwKvMvb2VQEjq3QSNmNODjY5LqqwxzuSOUZu+y1tNer7CGNB8ShW5tQbAO5/ZrdSh4NzqsurKvO2up4e6JMNGrzDfpe1GOstStkTR7vbY9Dceiuhn0a2hs+Md/wC0iKNdldtbbanCyuwBzHtILXNI3Nc1w+k1ykr7mqSSSSU1up/8nZX/ABNn/UuSS6n/AMnZX/E2f9S5JJT/AP/V9M6Z/wAnYv8AxNf/AFLVZVTAsrq6Vj22uDK2Y7HPe4gNa0MBc5zj9FrVxHWv8Y+VZcaOisbXQDtGVa3c9+u3fTS6G1M/47e//gaklU96/KxmWtpfaxtrzDay4BxP8ls7lm9Z+tPRejSzLv3ZESMWr32n4snbV/XvdUxeQ9RzrLbn2Pdvtvsc57zyS473uVVr+STLnGXE8k/vOSXU9d9YP8YfU8rHfTiAYNdgLfYd1u384m/27P8ArTP+uql0SrZ06lh5ILyPDed23/NXOOb61jK/9I4Mb8//ADFdfg1bWNb4KDOdAPq2OXGpP0S+jPZWKcWoiXAyO3ZFYwEI9Q9vHCqktm2DK2jQAAKZgaduD81OFBwkpIeVw/rF1jAwxjYuXZU3HcdjAQQNpOm14e3b/IXd/VT64t6sG4udsryyAa3t0Zb20B+hd/wf5/8Ag15YX7nPceS9x+9xRek3ua3ZJBqeWAgwR3Zr/J9i0Bs0CBdPuyS4Don+MO2gNxursNzG6DKr/nI/4ar6Nn9ev/ttdp0/qnT+pVm3BvZe1sbtp1E8b2Oh7P7SK2mXU/8Ak7K/4mz/AKlySXU/+Tsr/ibP+pckkh//1t3r/wBb+h4/Q29Jcx2fbdjNquZQ9rWsljfpZLtzPU/4tl//AAq84rvNmwzu7zxqP/MkIPOxnk1v5Ag45P2myPosY6w+HLWn/PnakuCXJcQ9k9gU7TIlCyNckNHDWifiUdgEgJKRZDiH07dHAl4Pw0au26Fl1ZuK20EB4O2xkyWu/wBforibIsuOsBntHy5/6StdO6jldOyRdQ4NcNHscJa5v7r2/wDUqPLDijpuGbFLh32L6QykGCp+kANFk9L+tWBmxXa4Yl5/MefYT/wVp/6l62Q7cJ5HYjUKoYkaEU2QQdijDB4qj1zMZ0/ptt4MWOHp0juXu0b/AJn00/UOsYOA3dbYC/tU0y4/2fzVxnXeuXdSfvtO2ivWqgfRaY+l/Ktd++n48ZkQa0WzkAPFz8SRisnWBE/MqXTnxfka/nNP3g/+RTYumNWDzt1+eqbp4Lr8k9gWifP3K20zu3LXbXn4rU+rfWf2T1OrNdW+5rGua6tjtpLXiP6r/wB/03rIyXBthJEawG95Q28y7Vx1nzRCC+yVde6b1npGXZh2e9tNnqUP9trPa76df7v/AAjP0SS8moycigOtpscyxrH7XgkOEtcHbXth6SVIp//X40H2N/qt/ImwTLstx/4Gufi5zv8AvqfljI42t8+wVeuw1YmfYOa7qHac6EpLmwGn17HnWXQPl7UdrgwSeBqVCWkeqw7q7jvZHmNzv81Jx9oHJJkniYQSGvjODmBwM7pJ+M6qw9oc0A8jv3Czyfs1oef5qz6Xk797+0rZMhO4b6ruIjQhcNtEiA4fd96b1LQIEtHgHED8EJ5I7n5FQBeeXFLgV7ng2ADOp1+8oOW5rKy0GSRqU7R2VfNd7g0caBLhQZ+DqVENY3wAUMBpONbcdDfcNvwDmM/745L32AUVmHO03cwPz3/2Uq722ZVGNT/MVOaAf3iNN39Vrfof9uJqCmzJdm3Trte4D5FO3soXu3ZVx8bHf9UU7PBFCaAKrCf3Hf8AUlJJ5ilzRy5rifuKSSn/0OMpfuqrd4tbofghU7TX1Op3BrbYf7JTY9m2v03ubLYggjVp9zT/AN9co4r2O/aBLgJo2jUCdeyC5P06qurCo3BxNoLyS6RBc7axrNvt/m/eiPMuJ7AIeFa37Bi+5oOwtIJGm2x/P9lyex9cO9zeD3Hh8UglhZU2xhY7UEIGHa6u04lx1H82fEfuqwHt09zf84Ktm1tsbva5u9uoIIn8qdwkbLjKJ6Np9U8FQ9MjuoYWa26vbYQ2xujpIE/ykdxZ++3/ADghxFdwQIsLNbGphVcoCWuJ/OA/FWZbxvb94VTMc31aq5BBe2YM9wkZFBjEC25kOfTSGNlr7DtsnQhokbB/Wco4A259I8XBF6gWOus9zCN7nCCO9r/D4odNjG5+Md7dXCTIQ6MfVsWfztv9d35VKsS4DxIQ32V+rZ7m/Sd+cPFyRuYytzg9pPDRuHLvb4pKS23D0rrewa4D5gtakgAsfLN7dlLXH6Q9z9p15+jV/wCfEkVP/9n/7SZyUGhvdG9zaG9wIDMuMAA4QklNBAQAAAAAAEQcAVoAAxslRxwBWgADGyVHHAFaAAMbJUccAVoAAxslRxwCAAACQOgcAjcACDIwMTcwMjI3HAI8AAsxODA1MDArMDAwMDhCSU0EJQAAAAAAEA7+5UUpC4Gi79FWJCuOF9o4QklNBDoAAAAAAQUAAAAQAAAAAQAAAAAAC3ByaW50T3V0cHV0AAAABQAAAABQc3RTYm9vbAEAAAAASW50ZWVudW0AAAAASW50ZQAAAABJbWcgAAAAD3ByaW50U2l4dGVlbkJpdGJvb2wAAAAAC3ByaW50ZXJOYW1lVEVYVAAAABIARQBQAFMATwBOACAATAA4ADUAMAAgAFMAZQByAGkAZQBzAAAAAAAPcHJpbnRQcm9vZlNldHVwT2JqYwAAAAvIANV0wMGzxAAgx3jBxAAgwSTIFQAAAAAACnByb29mU2V0dXAAAAABAAAAAEJsdG5lbnVtAAAADGJ1aWx0aW5Qcm9vZgAAAAlwcm9vZkNNWUsAOEJJTQQ7AAAAAAItAAAAEAAAAAEAAAAAABJwcmludE91dHB1dE9wdGlvbnMAAAAXAAAAAENwdG5ib29sAAAAAABDbGJyYm9vbAAAAAAAUmdzTWJvb2wAAAAAAENybkNib29sAAAAAABDbnRDYm9vbAAAAAAATGJsc2Jvb2wAAAAAAE5ndHZib29sAAAAAABFbWxEYm9vbAAAAAAASW50cmJvb2wAAAAAAEJja2dPYmpjAAAAAQAAAAAAAFJHQkMAAAADAAAAAFJkICBkb3ViQG/gAAAAAAAAAAAAR3JuIGRvdWJAb+AAAAAAAAAAAABCbCAgZG91YkBv4AAAAAAAAAAAAEJyZFRVbnRGI1JsdAAAAAAAAAAAAAAAAEJsZCBVbnRGI1JsdAAAAAAAAAAAAAAAAFJzbHRVbnRGI1B4bEBywAAAAAAAAAAACnZlY3RvckRhdGFib29sAQAAAABQZ1BzZW51bQAAAABQZ1BzAAAAAFBnUEMAAAAATGVmdFVudEYjUmx0AAAAAAAAAAAAAAAAVG9wIFVudEYjUmx0AAAAAAAAAAAAAAAAU2NsIFVudEYjUHJjQFkAAAAAAAAAAAAQY3JvcFdoZW5QcmludGluZ2Jvb2wAAAAADmNyb3BSZWN0Qm90dG9tbG9uZwAAAAAAAAAMY3JvcFJlY3RMZWZ0bG9uZwAAAAAAAAANY3JvcFJlY3RSaWdodGxvbmcAAAAAAAAAC2Nyb3BSZWN0VG9wbG9uZwAAAAAAOEJJTQPtAAAAAAAQASwAAAABAAIBLAAAAAEAAjhCSU0EJgAAAAAADgAAAAAAAAAAAAA/gAAAOEJJTQPyAAAAAAAKAAD///////8AADhCSU0EDQAAAAAABAAAAB44QklNBBkAAAAAAAQAAAAeOEJJTQPzAAAAAAAJAAAAAAAAAAABADhCSU0nEAAAAAAACgABAAAAAAAAAAI4QklNA/UAAAAAAEgAL2ZmAAEAbGZmAAYAAAAAAAEAL2ZmAAEAoZmaAAYAAAAAAAEAMgAAAAEAWgAAAAYAAAAAAAEANQAAAAEALQAAAAYAAAAAAAE4QklNA/gAAAAAAHAAAP////////////////////////////8D6AAAAAD/////////////////////////////A+gAAAAA/////////////////////////////wPoAAAAAP////////////////////////////8D6AAAOEJJTQQIAAAAAAAQAAAAAQAAAkAAAAJAAAAAADhCSU0EHgAAAAAABAAAAAA4QklNBBoAAAAAA0UAAAAGAAAAAAAAAAAAAAHYAAABYgAAAAjIBMK5rOQAXwA0ADUAMAA4AAAAAQAAAAAAAAAAAAAAAAAAAAAAAAABAAAAAAAAAAAAAAFiAAAB2AAAAAAAAAAAAAAAAAAAAAABAAAAAAAAAAAAAAAAAAAAAAAAABAAAAABAAAAAAAAbnVsbAAAAAIAAAAGYm91bmRzT2JqYwAAAAEAAAAAAABSY3QxAAAABAAAAABUb3AgbG9uZwAAAAAAAAAATGVmdGxvbmcAAAAAAAAAAEJ0b21sb25nAAAB2AAAAABSZ2h0bG9uZwAAAWIAAAAGc2xpY2VzVmxMcwAAAAFPYmpjAAAAAQAAAAAABXNsaWNlAAAAEgAAAAdzbGljZUlEbG9uZwAAAAAAAAAHZ3JvdXBJRGxvbmcAAAAAAAAABm9yaWdpbmVudW0AAAAMRVNsaWNlT3JpZ2luAAAADWF1dG9HZW5lcmF0ZWQAAAAAVHlwZWVudW0AAAAKRVNsaWNlVHlwZQAAAABJbWcgAAAABmJvdW5kc09iamMAAAABAAAAAAAAUmN0MQAAAAQAAAAAVG9wIGxvbmcAAAAAAAAAAExlZnRsb25nAAAAAAAAAABCdG9tbG9uZwAAAdgAAAAAUmdodGxvbmcAAAFiAAAAA3VybFRFWFQAAAABAAAAAAAAbnVsbFRFWFQAAAABAAAAAAAATXNnZVRFWFQAAAABAAAAAAAGYWx0VGFnVEVYVAAAAAEAAAAAAA5jZWxsVGV4dElzSFRNTGJvb2wBAAAACGNlbGxUZXh0VEVYVAAAAAEAAAAAAAlob3J6QWxpZ25lbnVtAAAAD0VTbGljZUhvcnpBbGlnbgAAAAdkZWZhdWx0AAAACXZlcnRBbGlnbmVudW0AAAAPRVNsaWNlVmVydEFsaWduAAAAB2RlZmF1bHQAAAALYmdDb2xvclR5cGVlbnVtAAAAEUVTbGljZUJHQ29sb3JUeXBlAAAAAE5vbmUAAAAJdG9wT3V0c2V0bG9uZwAAAAAAAAAKbGVmdE91dHNldGxvbmcAAAAAAAAADGJvdHRvbU91dHNldGxvbmcAAAAAAAAAC3JpZ2h0T3V0c2V0bG9uZwAAAAAAOEJJTQQoAAAAAAAMAAAAAj/wAAAAAAAAOEJJTQQUAAAAAAAEAAAAAzhCSU0EDAAAAAAdGQAAAAEAAAB4AAAAoAAAAWgAAOEAAAAc/QAYAAH/2P/iDFhJQ0NfUFJPRklMRQABAQAADEhMaW5vAhAAAG1udHJSR0IgWFlaIAfOAAIACQAGADEAAGFjc3BNU0ZUAAAAAElFQyBzUkdCAAAAAAAAAAAAAAAAAAD21gABAAAAANMtSFAgIAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEWNwcnQAAAFQAAAAM2Rlc2MAAAGEAAAAbHd0cHQAAAHwAAAAFGJrcHQAAAIEAAAAFHJYWVoAAAIYAAAAFGdYWVoAAAIsAAAAFGJYWVoAAAJAAAAAFGRtbmQAAAJUAAAAcGRtZGQAAALEAAAAiHZ1ZWQAAANMAAAAhnZpZXcAAAPUAAAAJGx1bWkAAAP4AAAAFG1lYXMAAAQMAAAAJHRlY2gAAAQwAAAADHJUUkMAAAQ8AAAIDGdUUkMAAAQ8AAAIDGJUUkMAAAQ8AAAIDHRleHQAAAAAQ29weXJpZ2h0IChjKSAxOTk4IEhld2xldHQtUGFja2FyZCBDb21wYW55AABkZXNjAAAAAAAAABJzUkdCIElFQzYxOTY2LTIuMQAAAAAAAAAAAAAAEnNSR0IgSUVDNjE5NjYtMi4xAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABYWVogAAAAAAAA81EAAQAAAAEWzFhZWiAAAAAAAAAAAAAAAAAAAAAAWFlaIAAAAAAAAG+iAAA49QAAA5BYWVogAAAAAAAAYpkAALeFAAAY2lhZWiAAAAAAAAAkoAAAD4QAALbPZGVzYwAAAAAAAAAWSUVDIGh0dHA6Ly93d3cuaWVjLmNoAAAAAAAAAAAAAAAWSUVDIGh0dHA6Ly93d3cuaWVjLmNoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAGRlc2MAAAAAAAAALklFQyA2MTk2Ni0yLjEgRGVmYXVsdCBSR0IgY29sb3VyIHNwYWNlIC0gc1JHQgAAAAAAAAAAAAAALklFQyA2MTk2Ni0yLjEgRGVmYXVsdCBSR0IgY29sb3VyIHNwYWNlIC0gc1JHQgAAAAAAAAAAAAAAAAAAAAAAAAAAAABkZXNjAAAAAAAAACxSZWZlcmVuY2UgVmlld2luZyBDb25kaXRpb24gaW4gSUVDNjE5NjYtMi4xAAAAAAAAAAAAAAAsUmVmZXJlbmNlIFZpZXdpbmcgQ29uZGl0aW9uIGluIElFQzYxOTY2LTIuMQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAdmlldwAAAAAAE6T+ABRfLgAQzxQAA+3MAAQTCwADXJ4AAAABWFlaIAAAAAAATAlWAFAAAABXH+dtZWFzAAAAAAAAAAEAAAAAAAAAAAAAAAAAAAAAAAACjwAAAAJzaWcgAAAAAENSVCBjdXJ2AAAAAAAABAAAAAAFAAoADwAUABkAHgAjACgALQAyADcAOwBAAEUASgBPAFQAWQBeAGMAaABtAHIAdwB8AIEAhgCLAJAAlQCaAJ8ApACpAK4AsgC3ALwAwQDGAMsA0ADVANsA4ADlAOsA8AD2APsBAQEHAQ0BEwEZAR8BJQErATIBOAE+AUUBTAFSAVkBYAFnAW4BdQF8AYMBiwGSAZoBoQGpAbEBuQHBAckB0QHZAeEB6QHyAfoCAwIMAhQCHQImAi8COAJBAksCVAJdAmcCcQJ6AoQCjgKYAqICrAK2AsECywLVAuAC6wL1AwADCwMWAyEDLQM4A0MDTwNaA2YDcgN+A4oDlgOiA64DugPHA9MD4APsA/kEBgQTBCAELQQ7BEgEVQRjBHEEfgSMBJoEqAS2BMQE0wThBPAE/gUNBRwFKwU6BUkFWAVnBXcFhgWWBaYFtQXFBdUF5QX2BgYGFgYnBjcGSAZZBmoGewaMBp0GrwbABtEG4wb1BwcHGQcrBz0HTwdhB3QHhgeZB6wHvwfSB+UH+AgLCB8IMghGCFoIbgiCCJYIqgi+CNII5wj7CRAJJQk6CU8JZAl5CY8JpAm6Cc8J5Qn7ChEKJwo9ClQKagqBCpgKrgrFCtwK8wsLCyILOQtRC2kLgAuYC7ALyAvhC/kMEgwqDEMMXAx1DI4MpwzADNkM8w0NDSYNQA1aDXQNjg2pDcMN3g34DhMOLg5JDmQOfw6bDrYO0g7uDwkPJQ9BD14Peg+WD7MPzw/sEAkQJhBDEGEQfhCbELkQ1xD1ERMRMRFPEW0RjBGqEckR6BIHEiYSRRJkEoQSoxLDEuMTAxMjE0MTYxODE6QTxRPlFAYUJxRJFGoUixStFM4U8BUSFTQVVhV4FZsVvRXgFgMWJhZJFmwWjxayFtYW+hcdF0EXZReJF64X0hf3GBsYQBhlGIoYrxjVGPoZIBlFGWsZkRm3Gd0aBBoqGlEadxqeGsUa7BsUGzsbYxuKG7Ib2hwCHCocUhx7HKMczBz1HR4dRx1wHZkdwx3sHhYeQB5qHpQevh7pHxMfPh9pH5Qfvx/qIBUgQSBsIJggxCDwIRwhSCF1IaEhziH7IiciVSKCIq8i3SMKIzgjZiOUI8Ij8CQfJE0kfCSrJNolCSU4JWgllyXHJfcmJyZXJocmtyboJxgnSSd6J6sn3CgNKD8ocSiiKNQpBik4KWspnSnQKgIqNSpoKpsqzysCKzYraSudK9EsBSw5LG4soizXLQwtQS12Last4S4WLkwugi63Lu4vJC9aL5Evxy/+MDUwbDCkMNsxEjFKMYIxujHyMioyYzKbMtQzDTNGM38zuDPxNCs0ZTSeNNg1EzVNNYc1wjX9Njc2cjauNuk3JDdgN5w31zgUOFA4jDjIOQU5Qjl/Obw5+To2OnQ6sjrvOy07azuqO+g8JzxlPKQ84z0iPWE9oT3gPiA+YD6gPuA/IT9hP6I/4kAjQGRApkDnQSlBakGsQe5CMEJyQrVC90M6Q31DwEQDREdEikTORRJFVUWaRd5GIkZnRqtG8Ec1R3tHwEgFSEtIkUjXSR1JY0mpSfBKN0p9SsRLDEtTS5pL4kwqTHJMuk0CTUpNk03cTiVObk63TwBPSU+TT91QJ1BxULtRBlFQUZtR5lIxUnxSx1MTU19TqlP2VEJUj1TbVShVdVXCVg9WXFapVvdXRFeSV+BYL1h9WMtZGllpWbhaB1pWWqZa9VtFW5Vb5Vw1XIZc1l0nXXhdyV4aXmxevV8PX2Ffs2AFYFdgqmD8YU9homH1YklinGLwY0Njl2PrZEBklGTpZT1lkmXnZj1mkmboZz1nk2fpaD9olmjsaUNpmmnxakhqn2r3a09rp2v/bFdsr20IbWBtuW4SbmtuxG8eb3hv0XArcIZw4HE6cZVx8HJLcqZzAXNdc7h0FHRwdMx1KHWFdeF2Pnabdvh3VnezeBF4bnjMeSp5iXnnekZ6pXsEe2N7wnwhfIF84X1BfaF+AX5ifsJ/I3+Ef+WAR4CogQqBa4HNgjCCkoL0g1eDuoQdhICE44VHhauGDoZyhteHO4efiASIaYjOiTOJmYn+imSKyoswi5aL/IxjjMqNMY2Yjf+OZo7OjzaPnpAGkG6Q1pE/kaiSEZJ6kuOTTZO2lCCUipT0lV+VyZY0lp+XCpd1l+CYTJi4mSSZkJn8mmia1ZtCm6+cHJyJnPedZJ3SnkCerp8dn4uf+qBpoNihR6G2oiailqMGo3aj5qRWpMelOKWpphqmi6b9p26n4KhSqMSpN6mpqhyqj6sCq3Wr6axcrNCtRK24ri2uoa8Wr4uwALB1sOqxYLHWskuywrM4s660JbSctRO1irYBtnm28Ldot+C4WbjRuUq5wro7urW7LrunvCG8m70VvY++Cr6Evv+/er/1wHDA7MFnwePCX8Lbw1jD1MRRxM7FS8XIxkbGw8dBx7/IPci8yTrJuco4yrfLNsu2zDXMtc01zbXONs62zzfPuNA50LrRPNG+0j/SwdNE08bUSdTL1U7V0dZV1tjXXNfg2GTY6Nls2fHadtr724DcBdyK3RDdlt4c3qLfKd+v4DbgveFE4cziU+Lb42Pj6+Rz5PzlhOYN5pbnH+ep6DLovOlG6dDqW+rl63Dr++yG7RHtnO4o7rTvQO/M8Fjw5fFy8f/yjPMZ86f0NPTC9VD13vZt9vv3ivgZ+Kj5OPnH+lf65/t3/Af8mP0p/br+S/7c/23////tAAxBZG9iZV9DTQAB/+4ADkFkb2JlAGSAAAAAAf/bAIQADAgICAkIDAkJDBELCgsRFQ8MDA8VGBMTFRMTGBEMDAwMDAwRDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAENCwsNDg0QDg4QFA4ODhQUDg4ODhQRDAwMDAwREQwMDAwMDBEMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwM/8AAEQgAoAB4AwEiAAIRAQMRAf/dAAQACP/EAT8AAAEFAQEBAQEBAAAAAAAAAAMAAQIEBQYHCAkKCwEAAQUBAQEBAQEAAAAAAAAAAQACAwQFBgcICQoLEAABBAEDAgQCBQcGCAUDDDMBAAIRAwQhEjEFQVFhEyJxgTIGFJGhsUIjJBVSwWIzNHKC0UMHJZJT8OHxY3M1FqKygyZEk1RkRcKjdDYX0lXiZfKzhMPTdePzRieUpIW0lcTU5PSltcXV5fVWZnaGlqa2xtbm9jdHV2d3h5ent8fX5/cRAAICAQIEBAMEBQYHBwYFNQEAAhEDITESBEFRYXEiEwUygZEUobFCI8FS0fAzJGLhcoKSQ1MVY3M08SUGFqKygwcmNcLSRJNUoxdkRVU2dGXi8rOEw9N14/NGlKSFtJXE1OT0pbXF1eX1VmZ2hpamtsbW5vYnN0dXZ3eHl6e3x//aAAwDAQACEQMRAD8A9E6d07p7un4rnYtJJprJPpt/db/JVj9mdO/7i0/9tt/8il0z/k7F/wCJr/6lqspKa37M6d/3Fp/7bb/5FL9mdO/7i0/9tt/8irKSSmt+zOnf9xaf+22/+RS/ZnTv+4tP/bbf/IqyqHVOudM6S0HNuFbnAuazlxDfpENSUm/ZnTv+4tP/AG23/wAil+zOnf8AcWn/ALbb/wCRXEZP+Netr3/ZunOfWNKzbaGOP8p7WMu2f1P0iou/xsdS36YmOG92y+QfKyfd/wBtJKfRf2Z07/uLT/223/yKX7M6d/3Fp/7bb/5Fcbgf4zqbJ+2YxrjQNbqSfBrx/wB/rqZ/wq63H6z0++gXes2tugdvIG0uO1jXOnZ7/wDB/wCk/MSUl/ZnTv8AuLT/ANtt/wDIpfszp3/cWn/ttv8A5FWUklNb9mdO/wC4tP8A223/AMil+zOnf9xaf+22/wDkVZSSU53UendPb0/Kc3FpBFNhB9Nv7rv5KSsdT/5Oyv8AibP+pckkp//Q9M6Z/wAnYv8AxNf/AFLVZVbpn/J2L/xNf/UtVlJSkklk/WnrQ6J0S/ODd92lWOw8G2w7K938hn84/wDkMSU8/wDW/wCvlvTr39N6ZWBkADfl2QWs3f6Ck/zrv+Es/Q/8evM87qORmXuuybn33O+lZY4ucfv/AOioX3W2vssvsdbbYS6yxxlzie7iqzuEksnWF/PA7JSCIDdfEIaREHz7ooSl7h9KT4K7jdYyWWMdaG5LayS2nKHq1S7R7hW47W27W/zv01mk6KW6ISU+m/UX64Vutd0zNe2itzi7EYZ9NgP+ArteXP8Aa7e/9M//AIn0/T9Jegr53ovaHAPnYSN7fEAh0L3P6s51Od0XFtqtNwazYXO0d7TsHqN/f2tQU6qSSSSmt1P/AJOyv+Js/wCpckl1P/k7K/4mz/qXJJKf/9H0zpn/ACdi/wDE1/8AUtVlVumf8nYv/E1/9S1WUlKXA/42HW/ZunV7oqdZYSyeXBoAft/4Ot1n/bi75cF/jYa77J014bLRbY0u8C5ghv8Aa2pJD5la/wC8mAoOiT5DRNYDuJ8E7KbLGucPoMAk+Z4CWytSVmkTI1U9kwfOFY6f0nMz7fSxmEhv0n9teAuo6d9RmNqrszXl90S+tp9oJ/M3fyf30yeWMdz9GSGGcthp3LxvpPI0BTem4HUL0d31dxGscxrGtjiBHZcnndL+zZdtbiHBgLgQmwzCRIql08BiBrbiNGkeK9H/AMVlj3W3VsuBbUyLccwHDcd1WRXHusr0sru3fQt9NeeemQ6F3v8AipxnHqWblAkCqptThGhFjvUHu/eZ6P8A4IpWF9NSSSSQ1up/8nZX/E2f9S5JLqf/ACdlf8TZ/wBS5JJT/9L0zpn/ACdi/wDE1/8AUtVlVumf8nYv/E1/9S1WUlKXI/4y2Mu6JTTANv2gWMmdAxrxa7/Ns2f9cXXLm/rriiynDyXasqtNbx5WD/ydbU2RIiSF+KIlMA7H+QfJ+n9Pdl23gjSpoP3laNnScevFax1ga7k6wJ/OP9lq0ehYzQ/qGkA3MDf6oa5zf+rWuzomO97bwwG1uodGoP8AJj6KhnkPF4aNnHiHDqNdR+Lm9Lo6fWQ/pmc25tY99bHhw0Hdq6XHtFlJd4LPHS8fFrGypjPTdvrAEBri30t7f5Xpfov+K/Rq906sNxC3twoZanc/VliKHT6ON1azANgf1DKNVcwAXlrdf5LP3lVsxOi5I9Oi7duaHTJ3Fp1Y5u/a/Y781b1nSMa53qPra86B0iZ2/R3Io6Xjk7zW0uAABjsPot/sog6DU3+CjEXrVf8AOeB6x0l2H9nuGrLHOYPl7mr0L/FvgMw+l5JcZvuuDrREbRsZ6bP+rWV9YsFtmHjt2hxblVEDy9wf/wBBdZ9XaK66sqxgj1bpjwAYzRTY5k8I87a+XHECcv7vD/3TrpJJKdrNbqf/ACdlf8TZ/wBS5JLqf/J2V/xNn/UuSSU//9P0zpn/ACdi/wDE1/8AUtVlVumf8nYv/E1/9S1WUlKVXqmCzPwLsR2nqN9p8HD3Vu/svCtJJJBIII6PnVWHdhZFlV1bq3Pa0nc3bLml24/+CLVxbBAC3PrHSbelWOAl1Jba3+yYd/4G565mi3QQquWPCe7dxT4wTVap+on9G2phDbLnbWuPYAb3u/zWoWH1HptfTn5AyWPx6wS65p3NAb9P6P7qV7mXjZY3f4T28/5KfHdjVbdr2y2Q5wOo09vu+komXo3MS1r2BzHiyqwB9bxwWuG5qsOcNqqh9bGANAhxkEdz3TueSEr6ILJmNZl5DBWw2elLiYkBzvYzn2/R9RdFgYoxcZlXLvpPPi46uVToNW3FdcebnmD5N9n/AFW9aatYoAAS6kNPNkJJj0BUkkkpWFrdT/5Oyv8AibP+pckl1P8A5Oyv+Js/6lySSn//1PTOmf8AJ2L/AMTX/wBS1WVW6Z/ydi/8TX/1LVZSUpJJJJTGytltbq3iWPBa4eIIgrhMnGtwMt+LbMsPsd+8w/QsH9b/AKtd6uF+tefTf1YHFsbc2hno2lpkCxrnufXu/fr3+/8A7bUWcDhvsz8tIiddCivxqcpuy1u5vIEx+RNV0vDa4D7NW4EQZChi5TTo8wfAq8y9vZVASOrdBI2Y04ONjkuqrDHO5I5Rm77LW016vsIY0HxKFbm1BsA7n9mt1KHg3Oqy6sq87a6nh7okw0avMN+l7UY6y1K2RNHu9tj0Nx6K6GfRraGz4x3/ALSIo12V21ttqcLK7AHMe0gtc0jc1zXD6TXKSvuapJJJJTW6n/ydlf8AE2f9S5JLqf8Aydlf8TZ/1LkklP8A/9X0zpn/ACdi/wDE1/8AUtVlVMCyurpWPba4MrZjsc97iA1rQwFznOP0WtXEda/xj5Vlxo6KxtdAO0ZVrdz367d9NLobUz/jt7/+BqSVT3r8rGZa2l9rG2vMNrLgHE/yWzuWb1n609F6NLMu/dkRIxavfafiydtX9e91TF5D1HOstufY92+2+xznvPJLjve5VWv5JMucZcTyT+85JdT131g/xh9Tysd9OIBg12At9h3W7fzib/bs/wCtM/66qXRKtnTqWHkgvI8N53bf81c45vrWMr/0jgxvz/8AMV1+DVtY1vgoM50A+rY5cak/RL6M9lYpxaiJcDI7dkVjAQj1D28cKqS2bYMraNAAApmBp24PzU4UHCSkh5XD+sXWMDDGNi5dlTcdx2MBBA2k6bXh7dv8hd39VPri3qwbi52yvLIBre3RlvbQH6F3/B/n/wCDXlhfuc9x5L3H73FF6Te5rdkkGp5YCDBHdmv8n2LQGzQIF0+7JLgOif4w7aA3G6uw3MboMqv+cj/hqvo2f16/+212nT+qdP6lWbcG9l7Wxu2nUTxvY6Hs/tIraZdT/wCTsr/ibP8AqXJJdT/5Oyv+Js/6lySSH//W3ev/AFv6Hj9Db0lzHZ9t2M2q5lD2tayWN+lku3M9T/i2X/8ACrziu82bDO7vPGo/8yQg87GeTW/kCDjk/abI+ixjrD4ctaf8+dqS4JclxD2T2BTtMiULI1yQ0cNaJ+JR2ASAkpFkOIfTt0cCXg/DRq7boWXVm4rbQQHg7bGTJa7/AF+iuJsiy46wGe0fLn/pK107qOV07JF1Dg1w0exwlrm/uvb/ANSo8sOKOm4ZsUuHfYvpDKQYKn6QA0WT0v61YGbFdrhiXn8x59hP/BWn/qXrZDtwnkdiNQqhiRoRTZBB2KMMHiqPXMxnT+m23gxY4enSO5e7Rv8AmfTT9Q6xg4Dd1tgL+1TTLj/Z/NXGdd65d1J++07aK9aqB9Fpj6X8q1376fjxmRBrRbOQA8XPxJGKydYET8ypdOfF+Rr+c0/eD/5FNi6Y1YPO3X56punguvyT2BaJ8/crbTO7ctdtefitT6t9Z/ZPU6s11b7msa5rq2O2kteI/qv/AH/TesjJcG2EkRrAb3lDbzLtXHWfNEIL7JV17pvWekZdmHZ7202epQ/22s9rvp1/u/8ACM/RJLyajJyKA62mxzLGsfteCQ4S1wdte2HpJUin/9fjQfY3+q38ibBMuy3H/ga5+LnO/wC+p+WMjja3z7BV67DViZ9g5ruodpzoSkubAafXsedZdA+XtR2uDBJ4GpUJaR6rDuruO9keY3O/zUnH2gckmSeJhBIa+M4OYHAzukn4zqrD2hzQDyO/cLPJ+zWh5/mrPpeTv3v7StkyE7hvqu4iNCFw20SIDh933pvUtAgS0eAcQPwQnkjufkVAF55cUuBXueDYAM6nX7yg5bmsrLQZJGpTtHZV813uDRxoEuFBn4OpUQ1jfABQwGk41tx0N9w2/AOYz/vjkvfYBRWYc7TdzA/Pf/ZSrvbZlUY1P8xU5oB/eI03f1Wt+h/24moKbMl2bdOu17gPkU7eyhe7dlXHxsd/1RTs8EUJoAqsJ/cd/wBSUknmKXNHLmuJ+4pJKf/Q4yl+6qt3i1uh+CFTtNfU6ncGtth/slNj2ba/Te5stiCCNWn3NP8A31yjivY79oEuAmjaNQJ17ILk/Tqq6sKjcHE2gvJLpEFztrGs2+3+b96I8y4nsAh4VrfsGL7mg7C0gkabbH8/2XJ7H1w73N4PceHxSCWFlTbGFjtQQgYdrq7TiXHUfzZ8R+6rAe3T3N/zgq2bW2xu9rm726ggifyp3CRsuMono2n1TwVD0yO6hhZrbq9thDbG6OkgT/KR3Fn77f8AOCHEV3BAiws1samFVygJa4n84D8VZlvG9v3hVMxzfVqrkEF7Zgz3CRkUGMQLbmQ59NIY2WvsO2ydCGiRsH9ZyjgDbn0jxcEXqBY66z3MI3ucII72v8Pih02Mbn4x3t1cJMhDox9WxZ/O2/13flUqxLgPEhDfZX6tnub9J35w8XJG5jK3OD2k8NG4cu9vikpLbcPSut7BrgPmC1qSACx8s3t2UtcfpD3P2nXn6NX/AJ8SRU//2QA4QklNBCEAAAAAAFUAAAABAQAAAA8AQQBkAG8AYgBlACAAUABoAG8AdABvAHMAaABvAHAAAAATAEEAZABvAGIAZQAgAFAAaABvAHQAbwBzAGgAbwBwACAAQwBTADYAAAABADhCSU0EBgAAAAAABwABAAAAAQEA/+EPCmh0dHA6Ly9ucy5hZG9iZS5jb20veGFwLzEuMC8APD94cGFja2V0IGJlZ2luPSLvu78iIGlkPSJXNU0wTXBDZWhpSHpyZVN6TlRjemtjOWQiPz4gPHg6eG1wbWV0YSB4bWxuczp4PSJhZG9iZTpuczptZXRhLyIgeDp4bXB0az0iQWRvYmUgWE1QIENvcmUgNS4zLWMwMTEgNjYuMTQ1NjYxLCAyMDEyLzAyLzA2LTE0OjU2OjI3ICAgICAgICAiPiA8cmRmOlJERiB4bWxuczpyZGY9Imh0dHA6Ly93d3cudzMub3JnLzE5OTkvMDIvMjItcmRmLXN5bnRheC1ucyMiPiA8cmRmOkRlc2NyaXB0aW9uIHJkZjphYm91dD0iIiB4bWxuczphdXg9Imh0dHA6Ly9ucy5hZG9iZS5jb20vZXhpZi8xLjAvYXV4LyIgeG1sbnM6eG1wPSJodHRwOi8vbnMuYWRvYmUuY29tL3hhcC8xLjAvIiB4bWxuczpwaG90b3Nob3A9Imh0dHA6Ly9ucy5hZG9iZS5jb20vcGhvdG9zaG9wLzEuMC8iIHhtbG5zOnhtcE1NPSJodHRwOi8vbnMuYWRvYmUuY29tL3hhcC8xLjAvbW0vIiB4bWxuczpzdEV2dD0iaHR0cDovL25zLmFkb2JlLmNvbS94YXAvMS4wL3NUeXBlL1Jlc291cmNlRXZlbnQjIiB4bWxuczpkYz0iaHR0cDovL3B1cmwub3JnL2RjL2VsZW1lbnRzLzEuMS8iIGF1eDpTZXJpYWxOdW1iZXI9IjIwMTEyMDA4MzAiIGF1eDpMZW5zSW5mbz0iNTAvMSA1MC8xIDAvMCAwLzAiIGF1eDpMZW5zPSI1MC4wIG1tIiBhdXg6TGVuc0lEPSIyNDEiIGF1eDpJbWFnZU51bWJlcj0iNCIgYXV4OkZsYXNoQ29tcGVuc2F0aW9uPSIwLzEiIGF1eDpGaXJtd2FyZT0iMS4xLjAiIHhtcDpNb2RpZnlEYXRlPSIyMDE3LTA3LTE0VDE4OjMxOjI5KzA5OjAwIiB4bXA6Q3JlYXRlRGF0ZT0iMjAxNy0wMi0yN1QxODowNSIgeG1wOk1ldGFkYXRhRGF0ZT0iMjAxNy0wNy0xNFQxODozMToyOSswOTowMCIgeG1wOkNyZWF0b3JUb29sPSJBZG9iZSBQaG90b3Nob3AgQ1M2IChXaW5kb3dzKSIgcGhvdG9zaG9wOkRhdGVDcmVhdGVkPSIyMDE3LTAyLTI3VDE4OjA1IiBwaG90b3Nob3A6TGVnYWN5SVBUQ0RpZ2VzdD0iRkU3N0NGNjNGMERCQkYyQ0IyNzg2MDUzNzU5QzA2MjgiIHBob3Rvc2hvcDpDb2xvck1vZGU9IjMiIHBob3Rvc2hvcDpJQ0NQcm9maWxlPSJzUkdCIElFQzYxOTY2LTIuMSIgeG1wTU06RG9jdW1lbnRJRD0iODIyMTdEQjMzMTcwN0UyQkQwOEE0NjI2NkI2MTQ1NzYiIHhtcE1NOkluc3RhbmNlSUQ9InhtcC5paWQ6RDU0Mzk4MTE2OTY4RTcxMUI0QTJDNTQwMDk5MDVFQUMiIHhtcE1NOk9yaWdpbmFsRG9jdW1lbnRJRD0iODIyMTdEQjMzMTcwN0UyQkQwOEE0NjI2NkI2MTQ1NzYiIGRjOmZvcm1hdD0iaW1hZ2UvanBlZyI+IDx4bXBNTTpIaXN0b3J5PiA8cmRmOlNlcT4gPHJkZjpsaSBzdEV2dDphY3Rpb249InNhdmVkIiBzdEV2dDppbnN0YW5jZUlEPSJ4bXAuaWlkOjMyMTVDRkUxN0FGREU2MTE4RThGQzNCOEU3QjQ3REQwIiBzdEV2dDp3aGVuPSIyMDE3LTAyLTI4VDE0OjU5OjA3KzA5OjAwIiBzdEV2dDpzb2Z0d2FyZUFnZW50PSJBZG9iZSBQaG90b3Nob3AgQ1M2IChXaW5kb3dzKSIgc3RFdnQ6Y2hhbmdlZD0iLyIvPiA8cmRmOmxpIHN0RXZ0OmFjdGlvbj0ic2F2ZWQiIHN0RXZ0Omluc3RhbmNlSUQ9InhtcC5paWQ6RDU0Mzk4MTE2OTY4RTcxMUI0QTJDNTQwMDk5MDVFQUMiIHN0RXZ0OndoZW49IjIwMTctMDctMTRUMTg6MzE6MjkrMDk6MDAiIHN0RXZ0OnNvZnR3YXJlQWdlbnQ9IkFkb2JlIFBob3Rvc2hvcCBDUzYgKFdpbmRvd3MpIiBzdEV2dDpjaGFuZ2VkPSIvIi8+IDwvcmRmOlNlcT4gPC94bXBNTTpIaXN0b3J5PiA8L3JkZjpEZXNjcmlwdGlvbj4gPC9yZGY6UkRGPiA8L3g6eG1wbWV0YT4gICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICA8P3hwYWNrZXQgZW5kPSJ3Ij8+/+IMWElDQ19QUk9GSUxFAAEBAAAMSExpbm8CEAAAbW50clJHQiBYWVogB84AAgAJAAYAMQAAYWNzcE1TRlQAAAAASUVDIHNSR0IAAAAAAAAAAAAAAAAAAPbWAAEAAAAA0y1IUCAgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAARY3BydAAAAVAAAAAzZGVzYwAAAYQAAABsd3RwdAAAAfAAAAAUYmtwdAAAAgQAAAAUclhZWgAAAhgAAAAUZ1hZWgAAAiwAAAAUYlhZWgAAAkAAAAAUZG1uZAAAAlQAAABwZG1kZAAAAsQAAACIdnVlZAAAA0wAAACGdmlldwAAA9QAAAAkbHVtaQAAA/gAAAAUbWVhcwAABAwAAAAkdGVjaAAABDAAAAAMclRSQwAABDwAAAgMZ1RSQwAABDwAAAgMYlRSQwAABDwAAAgMdGV4dAAAAABDb3B5cmlnaHQgKGMpIDE5OTggSGV3bGV0dC1QYWNrYXJkIENvbXBhbnkAAGRlc2MAAAAAAAAAEnNSR0IgSUVDNjE5NjYtMi4xAAAAAAAAAAAAAAASc1JHQiBJRUM2MTk2Ni0yLjEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAFhZWiAAAAAAAADzUQABAAAAARbMWFlaIAAAAAAAAAAAAAAAAAAAAABYWVogAAAAAAAAb6IAADj1AAADkFhZWiAAAAAAAABimQAAt4UAABjaWFlaIAAAAAAAACSgAAAPhAAAts9kZXNjAAAAAAAAABZJRUMgaHR0cDovL3d3dy5pZWMuY2gAAAAAAAAAAAAAABZJRUMgaHR0cDovL3d3dy5pZWMuY2gAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAZGVzYwAAAAAAAAAuSUVDIDYxOTY2LTIuMSBEZWZhdWx0IFJHQiBjb2xvdXIgc3BhY2UgLSBzUkdCAAAAAAAAAAAAAAAuSUVDIDYxOTY2LTIuMSBEZWZhdWx0IFJHQiBjb2xvdXIgc3BhY2UgLSBzUkdCAAAAAAAAAAAAAAAAAAAAAAAAAAAAAGRlc2MAAAAAAAAALFJlZmVyZW5jZSBWaWV3aW5nIENvbmRpdGlvbiBpbiBJRUM2MTk2Ni0yLjEAAAAAAAAAAAAAACxSZWZlcmVuY2UgVmlld2luZyBDb25kaXRpb24gaW4gSUVDNjE5NjYtMi4xAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAB2aWV3AAAAAAATpP4AFF8uABDPFAAD7cwABBMLAANcngAAAAFYWVogAAAAAABMCVYAUAAAAFcf521lYXMAAAAAAAAAAQAAAAAAAAAAAAAAAAAAAAAAAAKPAAAAAnNpZyAAAAAAQ1JUIGN1cnYAAAAAAAAEAAAAAAUACgAPABQAGQAeACMAKAAtADIANwA7AEAARQBKAE8AVABZAF4AYwBoAG0AcgB3AHwAgQCGAIsAkACVAJoAnwCkAKkArgCyALcAvADBAMYAywDQANUA2wDgAOUA6wDwAPYA+wEBAQcBDQETARkBHwElASsBMgE4AT4BRQFMAVIBWQFgAWcBbgF1AXwBgwGLAZIBmgGhAakBsQG5AcEByQHRAdkB4QHpAfIB+gIDAgwCFAIdAiYCLwI4AkECSwJUAl0CZwJxAnoChAKOApgCogKsArYCwQLLAtUC4ALrAvUDAAMLAxYDIQMtAzgDQwNPA1oDZgNyA34DigOWA6IDrgO6A8cD0wPgA+wD+QQGBBMEIAQtBDsESARVBGMEcQR+BIwEmgSoBLYExATTBOEE8AT+BQ0FHAUrBToFSQVYBWcFdwWGBZYFpgW1BcUF1QXlBfYGBgYWBicGNwZIBlkGagZ7BowGnQavBsAG0QbjBvUHBwcZBysHPQdPB2EHdAeGB5kHrAe/B9IH5Qf4CAsIHwgyCEYIWghuCIIIlgiqCL4I0gjnCPsJEAklCToJTwlkCXkJjwmkCboJzwnlCfsKEQonCj0KVApqCoEKmAquCsUK3ArzCwsLIgs5C1ELaQuAC5gLsAvIC+EL+QwSDCoMQwxcDHUMjgynDMAM2QzzDQ0NJg1ADVoNdA2ODakNww3eDfgOEw4uDkkOZA5/DpsOtg7SDu4PCQ8lD0EPXg96D5YPsw/PD+wQCRAmEEMQYRB+EJsQuRDXEPURExExEU8RbRGMEaoRyRHoEgcSJhJFEmQShBKjEsMS4xMDEyMTQxNjE4MTpBPFE+UUBhQnFEkUahSLFK0UzhTwFRIVNBVWFXgVmxW9FeAWAxYmFkkWbBaPFrIW1hb6Fx0XQRdlF4kXrhfSF/cYGxhAGGUYihivGNUY+hkgGUUZaxmRGbcZ3RoEGioaURp3Gp4axRrsGxQbOxtjG4obshvaHAIcKhxSHHscoxzMHPUdHh1HHXAdmR3DHeweFh5AHmoelB6+HukfEx8+H2kflB+/H+ogFSBBIGwgmCDEIPAhHCFIIXUhoSHOIfsiJyJVIoIiryLdIwojOCNmI5QjwiPwJB8kTSR8JKsk2iUJJTglaCWXJccl9yYnJlcmhya3JugnGCdJJ3onqyfcKA0oPyhxKKIo1CkGKTgpaymdKdAqAio1KmgqmyrPKwIrNitpK50r0SwFLDksbiyiLNctDC1BLXYtqy3hLhYuTC6CLrcu7i8kL1ovkS/HL/4wNTBsMKQw2zESMUoxgjG6MfIyKjJjMpsy1DMNM0YzfzO4M/E0KzRlNJ402DUTNU01hzXCNf02NzZyNq426TckN2A3nDfXOBQ4UDiMOMg5BTlCOX85vDn5OjY6dDqyOu87LTtrO6o76DwnPGU8pDzjPSI9YT2hPeA+ID5gPqA+4D8hP2E/oj/iQCNAZECmQOdBKUFqQaxB7kIwQnJCtUL3QzpDfUPARANER0SKRM5FEkVVRZpF3kYiRmdGq0bwRzVHe0fASAVIS0iRSNdJHUljSalJ8Eo3Sn1KxEsMS1NLmkviTCpMcky6TQJNSk2TTdxOJU5uTrdPAE9JT5NP3VAnUHFQu1EGUVBRm1HmUjFSfFLHUxNTX1OqU/ZUQlSPVNtVKFV1VcJWD1ZcVqlW91dEV5JX4FgvWH1Yy1kaWWlZuFoHWlZaplr1W0VblVvlXDVchlzWXSddeF3JXhpebF69Xw9fYV+zYAVgV2CqYPxhT2GiYfViSWKcYvBjQ2OXY+tkQGSUZOllPWWSZedmPWaSZuhnPWeTZ+loP2iWaOxpQ2maafFqSGqfavdrT2una/9sV2yvbQhtYG25bhJua27Ebx5veG/RcCtwhnDgcTpxlXHwcktypnMBc11zuHQUdHB0zHUodYV14XY+dpt2+HdWd7N4EXhueMx5KnmJeed6RnqlewR7Y3vCfCF8gXzhfUF9oX4BfmJ+wn8jf4R/5YBHgKiBCoFrgc2CMIKSgvSDV4O6hB2EgITjhUeFq4YOhnKG14c7h5+IBIhpiM6JM4mZif6KZIrKizCLlov8jGOMyo0xjZiN/45mjs6PNo+ekAaQbpDWkT+RqJIRknqS45NNk7aUIJSKlPSVX5XJljSWn5cKl3WX4JhMmLiZJJmQmfyaaJrVm0Kbr5wcnImc951kndKeQJ6unx2fi5/6oGmg2KFHobaiJqKWowajdqPmpFakx6U4pammGqaLpv2nbqfgqFKoxKk3qamqHKqPqwKrdavprFys0K1ErbiuLa6hrxavi7AAsHWw6rFgsdayS7LCszizrrQltJy1E7WKtgG2ebbwt2i34LhZuNG5SrnCuju6tbsuu6e8IbybvRW9j74KvoS+/796v/XAcMDswWfB48JfwtvDWMPUxFHEzsVLxcjGRsbDx0HHv8g9yLzJOsm5yjjKt8s2y7bMNcy1zTXNtc42zrbPN8+40DnQutE80b7SP9LB00TTxtRJ1MvVTtXR1lXW2Ndc1+DYZNjo2WzZ8dp22vvbgNwF3IrdEN2W3hzeot8p36/gNuC94UThzOJT4tvjY+Pr5HPk/OWE5g3mlucf56noMui86Ubp0Opb6uXrcOv77IbtEe2c7ijutO9A78zwWPDl8XLx//KM8xnzp/Q09ML1UPXe9m32+/eK+Bn4qPk4+cf6V/rn+3f8B/yY/Sn9uv5L/tz/bf///+4ADkFkb2JlAGSAAAAAAf/bAIQADAgICAkIDAkJDBELCgsRFQ8MDA8VGBMTFRMTGBEMDAwMDAwRDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAENCwsNDg0QDg4QFA4ODhQUDg4ODhQRDAwMDAwREQwMDAwMDBEMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwM/8AAEQgB2AFiAwEiAAIRAQMRAf/dAAQAF//EAT8AAAEFAQEBAQEBAAAAAAAAAAMAAQIEBQYHCAkKCwEAAQUBAQEBAQEAAAAAAAAAAQACAwQFBgcICQoLEAABBAEDAgQCBQcGCAUDDDMBAAIRAwQhEjEFQVFhEyJxgTIGFJGhsUIjJBVSwWIzNHKC0UMHJZJT8OHxY3M1FqKygyZEk1RkRcKjdDYX0lXiZfKzhMPTdePzRieUpIW0lcTU5PSltcXV5fVWZnaGlqa2xtbm9jdHV2d3h5ent8fX5/cRAAICAQIEBAMEBQYHBwYFNQEAAhEDITESBEFRYXEiEwUygZEUobFCI8FS0fAzJGLhcoKSQ1MVY3M08SUGFqKygwcmNcLSRJNUoxdkRVU2dGXi8rOEw9N14/NGlKSFtJXE1OT0pbXF1eX1VmZ2hpamtsbW5vYnN0dXZ3eHl6e3x//aAAwDAQACEQMRAD8A636sfVj6t3/VvpN13ScK223Cx32WPx6nOc51Vbnve91e5z3OWl/zT+qv/lNgf+wtP/pNL6p/+JXo3/hDF/8APNa1klOT/wA0/qr/AOU2B/7C0/8ApNL/AJp/VX/ymwP/AGFp/wDSa1kklOT/AM0/qr/5TYH/ALC0/wDpNL/mn9Vf/KbA/wDYWn/0mtZJJTk/80/qr/5TYH/sLT/6TS/5p/VX/wApsD/2Fp/9JrWSSU5P/NP6q/8AlNgf+wtP/pNL/mn9Vf8AymwP/YWn/wBJrWSSU5P/ADT+qv8A5TYH/sLT/wCk0v8Amn9Vf/KbA/8AYWn/ANJrWSSU5P8AzT+qv/lNgf8AsLT/AOk0v+af1V/8psD/ANhaf/Sa1kklOT/zT+qv/lNgf+wtP/pNL/mn9Vf/ACmwP/YWn/0mtZJJTk/80/qr/wCU2B/7C0/+k0v+af1V/wDKbA/9haf/AEmtZJJTk/8ANP6q/wDlNgf+wtP/AKTS/wCaf1V/8psD/wBhaf8A0mtZJJTk/wDNP6q/+U2B/wCwtP8A6TS/5p/VX/ymwP8A2Fp/9JrWSSU5P/NP6q/+U2B/7C0/+k0v+af1V/8AKbA/9haf/Sa1kklOT/zT+qv/AJTYH/sLT/6TS/5p/VX/AMpsD/2Fp/8ASa1kklOT/wA0/qr/AOU2B/7C0/8ApNL/AJp/VX/ymwP/AGFp/wDSa1kklOT/AM0/qr/5TYH/ALC0/wDpNL/mn9Vf/KbA/wDYWn/0mtZJJTk/80/qr/5TYH/sLT/6TS/5p/VX/wApsD/2Fp/9JrWSSU5P/NP6q/8AlNgf+wtP/pNL/mn9Vf8AymwP/YWn/wBJrWSSU5P/ADT+qv8A5TYH/sLT/wCk0v8Amn9Vf/KbA/8AYWn/ANJrWSSU5P8AzT+qv/lNgf8AsLT/AOk0v+af1V/8psD/ANhaf/Sa1kklOT/zT+qv/lNgf+wtP/pNL/mn9Vf/ACmwP/YWn/0mtZJJTk/80/qr/wCU2B/7C0/+k0v+af1V/wDKbA/9haf/AEmtZJJTk/8ANP6q/wDlNgf+wtP/AKTS/wCaf1V/8psD/wBhaf8A0mtZJJT4/wDsnpX/AHDx/wDxa/Y/5pn9G/7h/R/on/df+ZSVv/7/ABJJT//Q7/6p/wDiV6N/4Qxf/PNa1lk/VP8A8SvRv/CGL/55rWskpSSSSSlJJJJKUkkkkpSSSSSlJJJJKUkkkkpSSSSSlJJJJKUkkkkpSSZIOaTAInw7pKXSTSom2sGHOAPGpjVJTNJMnSUpJJJJSkkkklKSSSSUpJJJJSkkkklKSSSSUpJJJJSkkkklKSSSSU+Vf/f4kl/9/iSSn//R7/6p/wDiV6N/4Qxf/PNa1lk/VP8A8SvRv/CGL/55rWskpSSSSSlJJJJKUkkkkpSSSSSlJJJJKUkkkkpSSSDk5WPi1G3IeK2N5JSUmVbO6lg9Pq9XMubSweOp+TW+5cJ1r652X2uaP0eMQNjJ1In6T27qnv8A87YuW6p1KnJIFFZZ++50F7j/AFvd7f5CSqe16n/jJoa91fS6vUa0wLrAQHDvtr9jm/2llj/GHl1gusH2h7zJZOwD+ptDvauLNk/3KBsDRJ1Pgkmnqrv8YfW7T+hZTQPENc93+c9//fVXt+tfV72fp+oZE6R6YrqLf3tllbXW/wDTXNeqTqdFB13h96KHeb9YuqM0+0h+szZVVYf862t7lax/rZlsP6WrFt1nccatrv8AwEUrlhcUVj93wSU9ri/WzEc7c5lmHYTrZi2kNP8AWxLPb3/7kLo+m/WDOsZupvbnVtbvdOwuaIOljan+sx//AFq5eWMsgwfke6sfagC17C5toPueCgl9exfrRgWuFVv6O8naawQ47vBgb7n7VrMvqsY17HS14DmnjQ8cryboXUjR6h9pfYYbbBLhpHA/Na/9L/YXW4HWX0+ngBxuvbLQwCZAO1u1g27fo/vJKp7BJc3mfWSrp7HOue2q2sgOxnPBeSf3GsbYx+5W+mfWfB6gwODX1O4sY6CWnxe1vv8AS/4fZ6KSHZSUWPZYwPrcHMcJa4GQQe4KkkpSSSSSlJJJJKUkkkkpSSSSSlJJJJKUkkkkp8q/+/xJL/7/ABJJT//S7/6p/wDiV6N/4Qxf/PNa1lk/VP8A8SvRv/CGL/55rWskpSSSSSlJJJJKUkkkkpSSSSSlJJJJKUkqvUeo4vTcR+VlPDK2DSeXH81jB+c9y866/wDX/qGa2zHxGDFxnS0Pa4+o4f8AGDZt/qNSU9V9Yvrv0/pLjjY0ZeZqC1pGxh/4Z/73/BtXn/V/rN1Pqlpfk3bWidlbNGifh9JZDrC5pc46qvZYI5STVMrbS6ySZQzYZEcIbnSU26EVJS/QFCc8z5qJclOplJCgCdVNrD3US8pBx8EkrljRwk120pi9vcJgGnUH5FJCUWEp9zjyUIeZhPvHxSU3MTMuxrA9gBMEEOAcDI2/Rcr2N9YOoYrL20uDLMkjffqbAGzDa3bvZ9Ld9H2f4NYnqwpC4FJT0HTj03Kse7qeVa2wj2OMlpdz+ks3ep/0V0DujYIfW7AyX49orJqyPWFlDrIllfrR/hHf4L1VwjXyJmQOAj05uRXW6uu17K3ghzWuIBn6W5oQpN+D6b9W/rKwAYOcHUZVRLXWO0qc4n+bt/0Fu/8Akrr2PD2yNOxB5BXifRuqMw8ix1zDdVfW6qwTDgDDmWVv/wBIx7Gr1DoHUK3Y2OW2b6bmNaw92Ogfonz/ACjsr/8AVaSneSSSSQpJJJJSkkkklKSSSSUpJJJJSkkkklPlX/3+JJf/AH+JJKf/0+/+qf8A4lejf+EMX/zzWtZZP1T/APEr0b/whi/+ea1rJKUkkkkpSSSSSlJJJJKUkkkkpShbY2phc75Ack/ut/lKawvrd1arpfTDbMZD5bjnTQx7na/yUlPL/XLPFrHDKti4e6rGrG8hs/4eyW101N/4P9Ldd/1r0+HstNkdg0Q1skx96WdnXZdxfYRrzAAnUu3Oj6TvcgOfHxjhJKn2gAtVdxJUrASZUAdIKSmJcQUt0pyO6iihWspwUyRSUyTEpKJkn8iSmY2nvHxU9rfCUEBPtcfJJSU7I4Q4g6JQPHVRMg+SSmYS2hNKkDokpdpcODPkiB3johd1Jp7JKbDHQt/6v9ev6fY1j7SKHGCAAY89rh9H+p71zTXEFWmXuNQrnRpJA8ykl9p6D1ynqtB9zRfWdr2g8x+e1ph2xay8m+qmU7Dsx8gu2U2vLX2cbbW7iyt5n3VWs2/1F6vW8PYHDg6oKIZJJJJIUkkkkpSSSSSlJJJJKUkkkkp8q/8Av8SS/wDv8SSU/wD/1O/+qf8A4lejf+EMX/zzWtZZP1T/APEr0b/whi/+ea1rJKUkkkkpSSSSSlJJJJKUkkkkphY/YxzvAaDzXkH1w69+1uou2OLqq/YzXSB+6P5S9J+tnUGYHQ8m4mHlhZVHO9/sb/Z9y8XloBkEu4HxSSERHPZMNZd5qThoB3OpUJgflQSxf5IepMKR1KZo79k5Cx0OiincZKZJCkjwnTO4lBK6RAAUw3SVFyKGHCckpRqkUlKBPZOS5NCYz2SUuNU5MAKLdJlOeElL7k4eoJ4H3JKStcPGEVjxPh5jVVQDKkCRqkp7T6u5eEaaqrS19tNrbawZ1LTu2x7/AGu/PXp3S3A4de125oEDiRGhrdH+jXhOLkmt0gwO69Q+qv1ipGHU24SCGtD2BzgRt2Pc+G/orGOq32M/0X6ZiC7cU9kkotc17Q5hDmuEhw1BB7hSSWqSSSSUpJJJJSkkkklKSSSSU+Vf/f4kl/8Af4kkp//V7/6p/wDiV6N/4Qxf/PNa1lk/VP8A8SvRv/CGL/55rWskpSSSSSlJJJJKUkkkkpSSSSSnzr/GV1J9l9PT2OPp1++wAabvzfd8lwB9xgLtPr417c2yyPZY4hp11ILmvd/W9j/7C4saSfkEl1MXnU+WgQynOvyUXOgJBBYuMnaOSnOjdOFGsySU7ydvy/Kipi3xTgawnER5BNMGT4IIUQkB2SJEfBIFJSQceQUIkk+CeZho+ZU2x8kkoY1TkKbmwQfHlMQkhgkQU4Cfae6SWEJlMjVNtKSmKkdAlthIjVJShypHRqiOVI6ooZVEgg+a6LpfVvsmM8bHMeHVursrhoLq3F2y5sbXtcxzv+EXPsEQuj+rppyo6fbWyy294a0vBG0EbQ9trdzv0bv8H6aRSH1DoGSL6C6uTj2Br6SeYI906+33LWWF9V8O7Apuw3j9E0tfS6ZmQWWt+jX9Gyv9z89bqAUd1JJJJIUkkkkpSSSSSlJJJJKfKv8A7/Ekv/v8SSU//9bv/qn/AOJXo3/hDF/881rWWT9U/wDxK9G/8IYv/nmtaySlJJJJKUkkkkpSSSSSlJJJJKfNf8ZR2ZOJQ0AMDDYfEueTP/UrhrIAhd7/AIzWsGbikA7i0yZ0gce35rgbPpFBcNkTjCDY5TedShO1KcFpZM0GvdScfo/1tfkhkxClMAHwSUoGWn4KLzqkDE+ajElJLISfnqpgaSotBTyZjsELUyB2gnuVJh8UIyUaii254bW2SlaqJU9wJA8FMN3dlbp6VcXGWy7stjF6E1omwTGgH96jlliGWOGRcBmM48BEOE/uPgumZ01gj2/NSs6cOY17KP3mQYHlHYu0TCC6uFvZ2H6YJj4BZL6zKkjK2OcKam33JniNVabVuefAcoV7IT71WVogb4pwkAkE5akareFlX4mTVk0OLLanB7XDxCqMGisY7DY9jBy4gCdBJMIKfb+g9QZ1Lp1WUG7HGQ9vgT7v+ktJc39RLzb0VoeA2yk+k+O+z2Nn+w1dIkoqSSSSQpJJJJSkkkklKSSSSU+Vf/f4kl/9/iSSn//X7/6p/wDiV6N/4Qxf/PNa1lk/VP8A8SvRv/CGL/55rWskpSSSSSlJJJJKUkkkkpSSSSSnzj/GiXHOxABo2ou3eZc7/wAguCdySvTv8ZuK04WNlx7mvNfH7w3a/wCYvMniCkuGzWcFADWURwgJg1FFI3JE6KRaSdFOukuKBKgCxqpc88fNO6uHbfDlaIayikkj3RoPMqkRA1+k7UlNu15AAR/RGnJ0CnjYduS7awaD6RVjHwzcN3dxhvwXU9L6ZRTQ1ogudq4pk8nCF8MfEdXBd0O5za2VNJc4/wDnTl1HSugV4uOGxL3CXuPM+C1aMeprWjaNBorTWgKvLITo2Y4xHVoM6dW3hqK3Eb3Cu7QmACYvaRxxv49oSsoBVmza3VVrc6ivkhKrVxU0cvBDwZC5nqOH6VkAcrqbOqUHvKw+p2ixxdz4KXHYLFkMSHLophr3eOn3Knks1Wm32Vw7WO/+vxVG4bnFTRJtgkBVNEthMBqjvqIEnuhtA3qUMRC7RoreAS3IrIElpBjxhADdAtP6v4YzOqU0ESHnXv2+SSA+udEw2YpyxW0NZZc6xobxD/0mn+ctRBxa/ToY3mGgT4wNsoySFJJJJKUkkkkpSSSSSlJJJJKfKv8A7/Ekv/v8SSU//9Dv/qn/AOJXo3/hDF/881rWWT9U/wDxK9G/8IYv/nmtaySlJJJJKUkkkkpSSSSSlJJJJKcH67YLMz6u5O5wYcceu0kwCWfm/wBpjnNb/LXjlg0Xr/14sq/ZH2d8ufa6WtBjRv0i772ryrKxjXzpqgSLpkjA8PF0c5+injVGyVC1sFaXSMfewmO6UzUbRAXKmscaNI+JVjFxCRujnhX3YWkdydfgrtOOxrQI40UJyaM8cerj3YtjjBHCrMwrLr9jRoTtH5T/ANSuisrYJ/BR6ZiN9YuInZMafvFD3KBXe1qGk3plrIgkRwrWIcqh43Elq3W0Vke5qi7DZy3VRnITuvGMDZNh3uc33cq+x0rLrGwx3Cu475UZXhthDsfsBRQNFXuGqCnOz7b3t21mJWM/pt9ji57ySVvv26oALNyeJkbIMAd3Lq6PZ+aYUz0qyRv1A/KtqsCJhQssbrolxyVwRefysB0HwWdZgWNPErqXNa4yUG+trtBx4p0chCyWIF5W7HJEAfRGqzq26ldg7pwNRIGpBJ+a5a6s15D2REOIVjHPitgyw4aPdUaLqf8AF9hm7rjHkaVAk+Utcufxsc2vAA816L9SKsfGvs2N2vvYB82S7/qXORMwJCPdaMZMJTH6L2MQnSST2JSSSSSlJJJJKUkkkkpSSSSSnyr/AO/xJL/7/EklP//R7/6p/wDiV6N/4Qxf/PNa1lk/VP8A8SvRv/CGL/55rWskpSSSSSlJJJJKUkkkkpSSSSSnivrnkB+b6faljWn4u/Sf9S5i47PoLxuH3rr/AK547mZzrORaGP8AuHpR/wCBrD+yC6hwJie6ryNTJdCEQeXAeSvrgroOgYoGB6pH0iY+Sx89u20tGkaBdP0qrZ0uhp7tn70/KfSPFr4o+s+CJ1Z3F3xQn27J0K0TWChvw2vHCr2OrZDiXdSeH7WMP+vxUc39oU4rcuqwe47XgEy0fmrZb06sH3NlHbhY5Edu4TxOI6IMJH9J5ijJ6/69FXqu3ZG01tBBkO/q/wDfl0Fmdb0/MbiZrxY10BuQBAk6fpFZqwsekn02NE9wIRzjUPYW2VNeDzISlOMv0URxyj+lbC8mt481YxXFxVe9oLa6xwzQfBWcIQVCWQOkwH09VUySY07q80exVMhhI/FIhQ6uN1DIdRWTEnWGjkwsPqb8+zFbdVc5msPZWSCP3Xe33Lq78WuwBxaHEcSq4wmTq0fcnwkBrS2UeIVdPI4uL1C3LrpblF+/aXPD3Oa0HV29zv3PzlrZ1GRjWAYlpuaPM/8AVBdBXi0NH0dTypHFqdw1PllB6LI4a6lw8W7NLR6rfv1V+qt9h1EK+3CaDMKYpA4CjJB6Mg08WuKRELi+tUGnqVojk7h8wu+2LlPrVjhubXZH026/Ip+A1Ji5gXHyLHoWIHu9Qj2xz5rp/q28sz2gfm2NH+d7VU+r+PWcBsc2Nn5haf1dxf8AKJdGm+f80bkpHiyDzDLjAjgnf7t/a9ikkkrbmqSSSSUpJJJJSkkkklKSSSSU+Vf/AH+JJf8A3+JJKf/S7/6p/wDiV6N/4Qxf/PNa1lk/VP8A8SvRv/CGL/55rWskpSSSSSlJJJJKUkkkkpSSSSSnn/rhiergsvAk1ktd8HcH/PauRa/9WJHI5XofVKPtHT76QJLmEgebfe3/AKTV51BY62rykKDLHUHu3eVneMx/dNvOdTr/AEwcPz+V1eEwDCpH8gfkXPZdJe06atMro8PXEpP8gITNxHgkRqcvFK1gViuoRwh1hWqwoWRgaAeyb7M2eFca0KWwJKaQoA4CaxkBXHidFXtbogpoub7lZxW6qtY4NKtYZ7oJdID2ILxIRQfahOMcolAYNZKc0BTr5RoBCQUS1hUEQVAdkTYpAIoR7FB1YViENyCghLVzX1qq3OpPfj7yF07ljdUq+0Z1dQG7aN33ap+M0b7LZixXdL0Rhqa1nkt76uMHr3O7+6PvasrDpNINj9AAtv6vVFoscfDX4uO7/vqdj1yA+NpzGsUh4AO0kkkrTnqSSSSUpJJJJSkkkklKSSSSU+Vf/f4kl/8Af4kkp//T7/6p/wDiV6N/4Qxf/PNa1lk/VP8A8SvRv/CGL/55rWskpSSSSSlJJJJKUkkkkpSSSSSlLgfrJ044me70hDT76/Da783+z9Fd8sj6x4jsjEa9rdxqMuPcNI9xTMguPky4J8Mx2OjwTqhZQ+RtLxAKt9NduwmDuyWn5Il1BGg4Q8AFhtrP70j5qvdghuSFEFuM0KtVlVBoj1uTEt1hU0BjkVrklLkKvke1hPYCVYKzuq3HZ6TfpPMIFQc0PffaXD6IMBauG0gBCpxA2sQNAj02NaYHKWiW+G+yQq9oMaIguhsSoNsY87ZHkkaQAUdFsmDoQrjSqtlYbYHDvoUZhSUUykFCdEtyKF3FCcVNzgUNxQUwcquM1rsq+7nhrflyrD3QCVDAbX6MkiSST96dsEDUsvTdY5rSPaNV0nTqPRxmgiHP9x+fCo4WC972vc3bWNST38gFsKfDE/MWDmMgNQB81JJJKZrKSSSSUpJJJJSkkkklKSSSSU+Vf/f4kl/9/iSSn//U7/6p/wDiV6N/4Qxf/PNa1lk/VP8A8SvRv/CGL/55rWskpSSSSSlJJJJKUkkkkpSSSSSlJJJJKc7K6FgZLi6DU48muAP80hzVhdU6COnN+0V2GxrzBBAEfcuuVLq9PrYFrRyBuHyTJQiQTWrJDLMEAnR40FFYUCYdCK0qqW6GyxyO0qqwojXpqWwXaSsbqIsLw9gnaZC03WaQhOAISSNHE6i9ufQKmX2UWAasa5zNf7O3co9Ixc/DB9fJfkyfaHndH9t3vWnbj1uMkao+NS3RHpSiRv1YtNjxqS2fBY9v1Wq+2HNOVa9+7c3e4lzZ/ds+mt9rYtg8IpraTqEhpdKsWEWM51jWtMkM/OPcqyNCk0AaBScmqJ1ZByRKGHBPuStBXLkNzknHRQJRCF2tNtjax+cQPvXVsrraAA0DaIGi57o9XqZrD2ZLj8l0itYRpbUzn1AdlJJJKVhUkkkkpSSSSSlJJJJKUkkkkpSSSSSnyr/7/Ekv/v8AEklP/9Xv/qn/AOJXo3/hDF/881rWWT9U/wDxK9G/8IYv/nmtaySlJJJJKUkkkkpSSSSSlJJJJKUkkkkpSi9gexzDw4EH5qSSSngM2t1GS9h5Y4gpmOWn9ZMX0s02Ae24bh8Ro5ZLCqmQUS38criC2GORJVdroKMDIUZZFy+FH1EzhIVPJzWY43PBjxAJ/wCpQCi3QJRq3tboSJ8FgnrnqfzTXx/VIKEeo28mm34wP708RK6OO3o5f6gMQPFH3g8arnP2q9zG+20nw2u/iFKvqV4+jXYB5hLhKji0eiLu4UTaVjs62Ww2yl5Pi1pVym+y2HOYWA9jymkEbrOEhth0qc6ITVPdCaFFeZUHcpwVEnVPitLt9Aqiuy4/nENHy1K1lW6dT6OHUw8xJ+J9ysq5AVEBozNyJUkkknLVJJJJKUkkkkpSSSSSlJJJJKUkkkkp8q/+/wASS/8Av8SSU//W7/6p/wDiV6N/4Qxf/PNa1lk/VP8A8SvRv/CGL/55rWskpSSSSSlJJJJKUkkkkpSSSSSlJJJJKUkkkkpy/rBh/aME2NEvo94/q/4T/wAkuP4K9DOvK4zrnTXYOUS0foLPdWfDxZ/YUOaNiw2OXnR4T9GiHIzHKsDqisdqqzbCZyC6kOGqKNVIcIKaf2Jky0QUYUbWxtB80bYn2GIlETIXidMKYmNree6JZS1+oAB+CgKdZR2sI7o8clGfUIWYjWncdSjenop7U5OkJpNrCSWITE6p0Mu1QCme5H6fjHKy2Vke2Zf/AFRyqu6V0nRcP0Mb1XiLLtT5N/NCmxRssOafDHxLopJJK20lJJJJKUkkkkpSSSSSlJJJJKUkkkkpSSSSSnyr/wC/xJL/AO/xJJT/AP/X7/6p/wDiV6N/4Qxf/PNa1lk/VP8A8SvRv/CGL/55rWskpSSSSSlJJJJKUkkkkpSSSSSlJJJJKUkkkkpSpdZpqt6Zkeo3cK63WN8QWAuBCuqr1X/kzM/4iz/qHJFI3DwMgHmVNj1SdYWuRGWyqJdGLotdKm1VK7FZY6UxcmCmAFARypghJDNrQpgBDDgpBwRQyhRIT7lFxQSxeYQHvCV1oCputc50BGIQS22Pkldwz6DfgFwlAhdxiu341Tv3mNP3gK1h6hq8wNilSSSUzXUkkkkpSSSSSlJJJJKUkkkkpSSSSSlJJJJKfKv/AL/Ekv8A7/EklP8A/9Dv/qn/AOJXo3/hDF/881rWWT9U/wDxK9G/8IYv/nmtaySlJJJJKUkkkkpSSSSSlJJJJKUkkkkpSSSSSlLH+sHVsLFxrMN75ycmtzWVN1IBB97/ANxipfWr620dIpdj4rhZmuEeIrn85371n/Brz7p+bfm9UsvveXvLHuc4mSSYb/35NmaBX443Iebov1KZoI4U+6cNVIugGddkHVXK7h4qgQU7S4cFCkus20QpeoFli+xvmpjKd4IUp0g9SFgWaMx3YKQvudwISU6PrNGsoF2Y0CAZKrhljvpFSbQAihE42WGSi11RyiNrARA1G0LMEFdN0TqmNks+xB0ZOM0BzD3bHtsZ+81c2dFjdSy78HqlOTQ/07NoLXDmWk+KlwS9Xmw543HyfUklj9J+svT8/Hrc+xtOQRD63aDcP3XO9vuV89R6eHBpyaQ46Ab2z+VWmnTZSTAgiRqDwU6SlJJJJKUkkkkpSSSSSlJJJJKUkkkkp8q/+/xJL/7/ABJJT//R7/6p/wDiV6N/4Qxf/PNa1lk/VP8A8SvRv/CGL/55rWskpSSSSSlJJJJKUkkmlJS6SSSSlJLB6x9cej9MmsWfasgaelUQQD/wlv0Gf9WuI6x9cOq9UmtzxRjH/A1SAR/wjvpWJJAe96n9aukdPBb6oyLhoKqiHGf5b/oMXJdT+uvVLWv2vbjVu0ZXXyB/KuPv3f1PTXLeuSVTyslziQCm6rgAFszKfdYXOMk91d+rzHF91x4gMHxnc5YrnE+a6TpLBVjtZ8ymZTUa7suEXK+zpBTAUGIzQqrbYQlCLtS2IJYBqK2oOTBqLXIKSl24wRRUApNdIT8oKtYAJwEoUoSQoBOlCRKSGLlg/WbQY9g5a5zT8CN3/fFuu4WH9ZBuwwf3XA/wUmI1MLMg9Jc/Ey3MHOh0KndkucOZI8e4WdU4hEdZorjUdzoX1pzunvDKbC7HP+Bfq0eI/k/2V6D0b6wYnVmbWfo8hol1RM6fvMd+cvG6rNtj2jkHcP8Avy18LOtxrWX0PLXsIc1w5CS2rfYUlldB65T1XFa4lrcloiyuf+mwfurVRWqSSSSUpJJJJSkkkklKSSSSU+Vf/f4kl/8Af4kkp//S7/6p/wDiV6N/4Qxf/PNa1lk/VP8A8SvRv/CGL/55rWskpSSSi97GNL3kNY0S5xMAAdyUlMklyHWv8YOHjOdR0xv2m0aesf5of1I91v8A1C5bK+tnXM17WPyrK2uMkVH09P8ArWxySQLej+sn1sy682zDwn+lXSdjrBG5zh9PWPZtd7fauayeuZ9omy+x/wDWcT/1RWbkXF7y5xJJMkqtbbAPgEN12z0mB9dOo9OdW0W+tjsEGqzWf5LX/TYqnWfrp1jqm+s2+hjukejTLQR/wj/p2f8AUfyFzXqEjVOCjSN0/qFNvKhOkJA6oJZmyGqrYZKK93ZDhJTGlm+9rew1XSYYgBYfTqy60vPyXQYrYAVfKdWzhFBuMCOwITArDAoGZkGp9qk0BThBKMNRWMUeCisSUyDAn2hSAT6JKYQnAT90oSUsVFymSoOSQwdwsb6wn9Qf8R+VbJWF9ZTGER4uH5U6HzDzWz+UvPNdp5qW8kQhsKcq80yhus9K6u3sDB+BWjQ6GwNYP4HVZmWJrKsYFxfWwnuNp+LUSt6vQdOzbaXTW4se3VrhyCF6H9X/AKwUdVoFb3BmWwe9nG7T+cYvLaH7XBGZkW49wsqcWOYZa4GCEEkW+yJLi+i/XxpY2nqbZI09dnMfy2LrsXMxcuv1ca1trPFpmP637qK2kySSSSFJJJJKUkkkkp8q/wDv8SS/+/xJJT//0+/+qf8A4lejf+EMX/zzWtZZP1T/APEr0b/whi/+ea1rJKQ5eXj4eO/JyXiuqsS5x/IP5S8v+s31qy+rXOrY41YQJDKQY3CdHXfvv/6hbX+MjKyBkYuLqMcMNoHYvlzP/A2f+fFwznAlJICxcfmpUH9NrwBqhOcEqXmLD8AgVyW2wSqmVZ7IH5yIXSqmU6bA0cD+KIQWTCpAobdIU0lMw770891AJSglcmSoWH06y4/D71IjhAzDDGt7Ez9ySnZ6XUHNDh3WzSyOFhdCypb6ThxwV0VIBVXKKJbeM+kJq2o7AoMCOxqiLIpoRAEgxPCCltsqTdE4apBqSWQ4SMpwUklLJ9EkkkMSmhShNCSmBXP/AFo0xQP5QXROGi5D645e3ZQOfpFPxi5BZkNRLkt4Uuygwy2VKfBXWoUV+rCELpz9Hsn6JDx+RyNbwVUwn7cvb2eC370ei3q7bDqES106+I/IgVnc1p7orzoCglGH7dVf6f1jLwbBZRY5h8jCzHJmmNOyKH0bpf18Y8BmcyT+/XAPzYTtXS4PVun9QkYtwe4alh0cB/UcvGmWEcFXsXqN1D22VPLXtIIIJBkfBJVB9jSWD9VvrA7q1Dqr4+00gEkabm8b/wCt++t5JapJJJJT5V/9/iSX/wB/iSSn/9Tv/qn/AOJXo3/hDF/881rWXN9H6303pX1S6O7LtAf+z8Utqbq936Gvhi4/6yfXHO6tuoqJxsOf5tp1cP8Ahn/nf1PoJJp6j6+29FyOkvovy6q82k+pjNnc8uGhqLGbnNZa32e5eXF5+5CyTuEk/BDpu3Sx3LUlDROXceKkwxV5uJJQCdfJHgbQAOyC5YElU7iPWcrvAVG0/pXFEILNrhKICgAx8SiN/FJQSCYTiEw4ShBLIc/wVTMdNwHYBXGCfkqFrt97z5/kRCm1gZH2e1riPb3XX4FjbGBzTLDwVxTBotvoOeyqz7PY6GuPtJ4lRZYWLG4Z8cq0L1lbFYY1V6XgtCtMKqFnDMMT7JU2RCkAklgGJ9iJtTgJUpEWpoRSoFBTHakWFTTghJTAN8U+2FPRMUaQ173tYxznaBokrzb6w5Jyct9vYnQeXZdn9ZeoCnHNLTDn8/BcFmu3AlWMEdyw5jpTapPsHwCIUKj+baPIIpU7AitJgqlSYzK4/fH5Vdt4We0xksPEOGvzRC0u7XpI8CfyorvoT4IDXe49vcUYH2OQShfKgCpP0kIcwigpA5FrMlVxJ0RQS0ADk8pIe8+onUOk4otryL2VZVsNZv8AaNo5DbHez6X5q7kEESDIPBXh7HRodFr9L+sPVumFv2W9xqB1pf7qz/Yd9H/raSqfWklh9C+tWD1VrarCMfL4NTjo4/8ABOP0v6i3EkPlX/3+JJf/AH+JJKf/1eZxswnBxm6uLaa2yeNGtahvsc7kx8EHFP6pTP8Ao2/kCmUlyxCqWyx+9vIVoqvb3RQv6ocwOHCvOBDAT3WXix9qYw6sJ1HPC0KxZzcYbafa3wKBSCu7hUbXfpnHzhaBboss+5xPiZSCimajMHcoVYn4IzeElBkJKcD5FIfipiSPJBK07Wk+AWfH533q7ku21bR+cY+SrtZKIrqqj0XZxpwisAJBmCobNuo4TgoLw9R0XqrDsxr3e8+1rvH+sunqaI0K80Y6CCDB8Vv9J+sl+NFeRN1fiT7h8FBkw2bj9jPDJ0L2jQApiFQxeo4+WzfU4Edx3HxVprp7qAimVMlohglPuSUuQokKWhCi7RBTEpgU5iENzo1SSlCDlZmPi1l9z9rRz4qrldVpxmkkyfBcp1XqlubbJ0YOGqSGMyPgslKkXXM0ZmW6yon0vzQdCsPKJ2wrryqGW4EtaO5VqIAFBrzN6t+gQ3TgIjpOqhWfbt+9S1lFjQ2/RKzyP0zf6w/KtC46Ed1nOMXNjxH5UVpduJe/yd/BHZ9E/BC/e/rR+ARqgAxwmYHdBLXf4IfdEsiT4qDY1/EpIXlrWlxQmlxJduglM5290DQDhSaIKchK225nmPuRWZLdA72nzQQ7RONfP4pKb9VxEFp+C6vof11y8XbRnA5NHAf/AIRo+f8AOf2lw7GAGWkt8wjsuuZ4PA+RSpPm3/2xg/vn/wAWf236J/mf3/638hJct6p/dP8Aytv/APMUkEaP/9bjMY/qtP8AUb+QIklCx5+zU/8AFt/IEQHXySXLGe6BcTCM4z3QLj7fFJSPErNubU06AOBdHMD3O/ItTLJ9rRyXKj0asPzHvP8Ag2GPiS1n/U7lfsIdktB/NE/ekd0jbzR5D9lZMxDfxOizmNJIVvOdFYE/SdMeQQah3SR1SsHEdkXt5qLRAU2tBPl3QSoFEaE20J/otLvBJTTyXl9pHZmgTtmEEEucT4o7EV4CRuqg5pYfI8FSaibQ7Q8ILqQgogshDsrczVvub+RQDgkhv42bfjv30vLD5LoemfWkaV5Y1/0g7/GFybSph2mqZKAluF8ZkbPpVOZRcJreHA+BRfUHZebU5d9OtVhaVbq6/wBTrP8APT8VCcB6Fk90dQ9/vhRfYAJlcOfrR1MD6Y+5Cs+svUbAQX8+AS9mXgr3A9vbm0MYS5wELCz/AKwBpLaCCfFczZ1HKt+m8nylA9U9z8U6OGt9UHL2b+RnXXPLnulVnWSgGwqBsJ0Gp8lMABsxGVs7LAAqmr8hu7x0CM+WiXGT4IFOt0+CK2TpV8aqc9+6GzhEjuksQ36AqhQ31MytvYuB+5X8jRh+Co9P93UWHs0OcfkEkF3GCQT/ACj+BU9p2i2dDIcP+pVawlmI58wYJ+9XajOKZ7Qf4JJabtT8+6r2WSdjOO581PIuglrdT38lXYNUQEEpmypjzUGSpwfL70ULiOykFEKU/eklm0wUZhBVdsyislJTjz/8VUk0n/4aJIIf/9fi8bTFqn9xv5ApqGPAxadP8G38gU5H+xJcxdqq2QYBkKwfJVMqYSCi3egj23v82j7pKsTuuudxtho+5C6ED9jsd4vP5FJjtzrtdQ+PuhDunoGvnCXgdmiCmpEBFyIOQWnwCTWRzx2RR1ZTppz3RGx3KgBGinwEEqEzqo5Dox3HxEBSGroHzVbLsL2Oa381pg+aSkVbdJRWKriXb2QfpDQq2zlJkCQcojdAhDlEGgSXBTtGoD6w7Xg+SOdQowOElFrfpKzxIUhc3g6HzRS0FN6bTyEkUx9QHum3jxUjWwDhQNY8NEqUvuCiHBLaApNASQtqn2uKloE8hJNMfSnkypaMGgCU6KFrxHmkpDc+VDE1tJUbXKWEZe75JLCXSb9FTbr5IbeB+KlujVJagzXhrT5IHSAfUut7Bm35n/zlNnvJ4Kt9JoDMZu4e61+/X90BJHVs5ktxi2ddsfcrTNwwbCOQ2ZVXMd+jcOx7K20RgWT+5r/0Ukjq5DhqpBNEqQ0CK1m2FKAoNiFMRCSmTSdJKkfEhQUgD8UksmyjNAjlCbCmdB4hJTjaf/DRJR/+SSSSH//Q4zGH6rTpPsb+ROQO3zBSxi37JSDz6bfyJOjtykuYkQqOYfkrx3HlUM4wPGUkF1uh6dOnxc5BxbAbcth5FhcPvR+ik/s1oPALtv3lZ1FoZ1C1rtA97mfMnT/pId1x6eTcymxmAnhw/IiCPjKbIabKmPA9wj/zJJohk9+6Sl/okDsk92kN1ceB/FJx3DbOvaE1bWVTqS48vPf+qkpnpVUXf6yVVdHpuJ1MKxafaB46wg2Qa0hurdzbAaLBYzg8hXKrA8AgqNtW5kcqnTYabNjvolSaIAI0dQO8FOT4oLHAiUQH7klL7iNAoeoQpFRICVBNlY3O8ExvcBwkU0hKgriPdRyHeCRyJGoQnx2TDhKgjjkkN3kl6vghwVIBCgriLMPJMJ/cO6i3lSnsjQTxFWru6jY0AIjQh3u5SoIJLVsci4H5x89FWsMlWsADaTPJ4TTsobukyNCmsIbJBgJg4duEO52hP4pqWuWDIyW1jRpOpPgtioNlz9A1o2j5fSVLCxSz9MRNtmjB2AT9RyRWwYtR1A/SH+CSlsi8XXaH2N+j5labtOn2jxaNfm1YdJlwHnytu87cBw4Gg/ikVDq5ZAHCk3jRR8PBOihkP96m09lCfuUhtlJTL8nZTiIlQB+5TaPkkpLXIHCdzx4JaBmvKHMulJTkf/JJJPp/8M0kkP8A/9HisUt+zVSNdjfyIjmjkaKGKf1WkD9xv5ESZCC5iQT/AHLPzQOBwVpQAJBVDOE/f80Qoul0Mt+wR3aXf3rDzS6vIsPB9RxB+a2+haUOEcP/ACgLL6xWftL3Ad5QHVUtg6OFljJxwfzzz8fzkW4hrdNSeFz2HlWY1ktJ2nkLdrc5zt9g2loBA8CRykkG12tLI3H3H6SdkuMkCOyk1jbXEu4b+VPoJIk7UlIrfc/mQOyjYAKgPNKJclYBsHmeEkjdhGio5dX5wV+EOxgc2El5DUxMnX03c9lfadFlXVOrfI7HRW8XID2wdHDlOBYyG4mPKfRMQYT0MHBQIRCoHlJRRkcJAeCl3+CYcpLV4KdNJUgklSdo1lKFJoSSvwFXuOisFAuHKCGlZyrmBpXJ4kqq8KxiA+k2OCTKbLZIbrdTJMNH4p6WevbucP0TP4KIG+K26Dujusrx6ST9Bnh+c7/R/wDkk1K+Vl+gwBo/SOH6Mfut/e/tLJIk6mSfFEtstuebbNXOMlQGh1RWls4zfcBytjN0wjpI3CP+ksjFI9RsrXzdcMeBdp8YcgVw2LmCOQVIT8kzRA/gpc8aeRRQvEeaeAE0/wCoTjU8a90lM2+J+5EYJOh+RQwIR2GGkniEFKe7SDHyUaxLgoOMn8qJXABP+uqKnI3D/wCGcpJoH/wzSSQ//9Lh8Eh2PXHZon5I/wAP9qpdPltQbPABH9obldBPCC5fWNdPiqOYBt54V2Z5MBVM2Nro1juiotnoVkGyvvo78qF1doFzvPXVD6BYTl2a/mcfMInXjFgjSQgNyo/KGr0Oqp/UWvsa2xlQLzW6IdA42763f9trcfkU2WWmqoVMeWn0wS6IH7zv3ln/AFbY41ZjgHRtAMboiHn3babav+3LKP5CsO0Y48n/AGIbyJ7aLhpEfamGz0wQIcUKww2PFIOJaIEaKL/DlFCNO/6LY8U48FGz835pJG6oTEJ08JMrVyadzVnS6qyRoQtkjRUMuiDuASWSDbxbBawOCsQsXFvNNvPtPK2GPDgDKPEVRiCs5pUDWZlH7KMFLiKfbCBzDMpbEUt1SiEeIq9sIQwqQaVLunHKXEUe2FgCpBpCQKlOiXEr2/Fg8oTwSiuPKGUuJXtju07mgKxhx6Vc/vH8ZQMkwFb6bScio1iQQ0vkdtpTSVpADcqrAlzeTqSew/OcqOfcbbgAf0bBDB5f+ZK3Nv2VxsGwl4bzyAD9GPzdypZQG9vOoSC0rNE95TO5U2Dd5KNgIRQmxY3t7nstnM1xmkkD3c/J3hKxMX+cb4A6rayoGLXP7w/J/aQXDYuc2CNPmpSRwFFpUj49vJFChJ0PPgpCQog+ScE9klJA3QE6eCJYS2to7nuhMEkA6pZLyHwfzdEFLtLjrKmXem2TrCHVrHh3Q8y4N0byeP4Iqcvef/Z7ckhbLf8A2a2/2kklr//T4DDsP6MDksA/zQrvtkiYPgsqX0Giz/Bua2fuWm10tQK4KmTHJ7KrkH2uaQrXIkKle7Uj/akosugf0ywj9w/lCN18+5p8kLoAP2qwgTDTqEfrpEtGvB1SG5UflDD6uuYDe120FzdN2wH6L/o+q9j/APtr1FfrLYLT48qj9WX2DJsbXv8Ac0bg31NRqz3ehZV7ff8A4RXBoXDvKHUrhsFNILYHbSfgoPEeaeuTu8J4THXjn8EVLankn5Idp9zY0GqJrPPHCHdBe2PBGO6LXBPdKUmnTyTcp/CEiZZAhDtZuCmmIKHAnj8HJvrLXFFw8osIredOxVjIqJCzrAWu4QMUCdF3mumIUlnYOXI9N30hwfEK+HgprKCCLUQonwRIUSAklhCR0UkxakpZIlKEiElLFQdwiAIdpgFJBaOS4zC1ejtq/ZeY9zw27a1lDA6vcSXTbupeftHp+mP52puzesa50uW90n1R0C5w9T0/W2mPV9OQ386G/Y/U935z/tCEtvqxsIjDbJ0EQqmQCQw/EK1c0toqaeCJKBc39EDyAR+KKwrVAAanSNITWQBIKdgHPgnuB28ykpjiuHqD4rZzT+qMPiW/kWHiEeuO2q2swxhtP8oR9ySRsWk7RxT866KJcN35E4KSFaRHKkDomIET4dk7dUlJazEuPAEqtuJs/FFucG06cn8iDSATu1RCmw12xrnHgKpVuvuNp+g06DzUsu173Nxq+TqT2ViiltbQwcDnzSU5sVfvH/lGOPzf3vpfS/kJJ9v/AMUoSSQ//9TgWW47sRlT7GQWAOBIkEBKnIqDNrrGgt0kuGsLISSXO2b8f/SMP9oKlkXM3kNc0jyKopIIdbol1NVjzZY1kgj3OA5/rIvWMjHt2+nax+mpa4Hv5FYiSQ3SflDpdFupozWvsLA0akv2ACCHaOtozNv9mlaVuViG+zbdWWk+0hwjnz9P/qFzaSHUpGz0QysUSPXZ/nBQflYwOlrCfHcFgJIqd45GNM+qz/OCHZkY/qiLGER2cCsVJGO6DbuDJx/9Kz/OCX2jH/0rP84LDST9UO79px/9Kz/OCX2nG/0rP84LCSS1S7Tr8cj+dYf7QVPJ9F07XtPwIVFJIoSNdtdIOo4K08fNqLRvcGnuCYWQkmSX47vR6BuXjf6Vn+cFI5OKf8Mz/OH9651JBl9Xg9AcnG/0zP8AOCb7Rjf6Zn+cP71gJJK9Xg7xyMb/AEzP84f3pfaMb/Ss/wA4LBSSV6vB6AZONH88z/OH96r5GRQQdtjT8CFjpJIN+DYe5pdyPvWz023Fr6PbvfU2w3HaSaQ+Ng8X/bNn9j0FzySB/ax6vS35OG6ioC6suA1G5un4qvZkY5pcPVZOmm4ePxWEkitdtt+OGibGf5wTWZFJbpYyf6wWKkkp1Me+puQ0l7QJ1JIhbGXnYbsQNZkVF24EtD2z315XJpJKGxegdlY0j9KzUCfcP70/2rG/0rPM7h/eueSSU9CMrF72s/zh/epDLxf9NX/nD+9c4kkp3svKx3va1tjIA1IcPj4qTMvGYz+dYSBxuH9659JFTuY11DSbbLWeo/U+8aD93lXqsvDkF19Y/tt/vXKpJFQdj16P9I3/AJR9T6Q+h/pP6n8tJY6SSn//2Q==";
//image.src = "data:image/png;base64,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";
image.addEventListener('load', function() {
// Now that the image has loaded make copy it to the texture.
gl.bindTexture(gl.TEXTURE_2D, texture);
gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, gl.RGBA,gl.UNSIGNED_BYTE, image);
gl.generateMipmap(gl.TEXTURE_2D);
});
var vertexData = [
-0.5, 0.5, 0.5, 1.0, 1.0, 1.0, 1.0, 0.0, 1.0,//3
0.5, 0.5, 0.5, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,//1
0.5, 0.5, -0.5, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,//2
-0.5, 0.5, 0.5, 1.0, 1.0, 1.0, 1.0, 0.0, 1.0,//3
0.5, 0.5, -0.5, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,//2
-0.5, 0.5, -0.5, 1.0, 1.0, 1.0, 1.0, 0.0, 1.0,//4
//상
-0.5,-0.5,-0.5, 0.0, 0.0, 0.0, 1.0,0.0, 0.0,//8
0.5, -0.5, -0.5, 0.0, 0.0, 0.0, 1.0,1.0, 0.0,//6
0.5, 0.5, -0.5, 0.0, 0.0, 0.0, 1.0, 1.0, 1.0,//2
-0.5,-0.5,-0.5, 0.0, 0.0, 0.0, 1.0,0.0, 0.0,//8
0.5, 0.5, -0.5, 0.0, 0.0, 0.0, 1.0, 1.0, 1.0,//2
-0.5, 0.5, -0.5, 0.0, 0.0, 0.0, 1.0,0.0, 1.0,//4
//옆1
0.5, -0.5, 0.5, 1.0, 0.5, 0.0, 1.0,0.0, 1.0,//5
0.5, -0.5, -0.5, 1.0, 0.5, 0.0, 1.0,0.0, 1.0,//6
0.5, 0.5, -0.5, 1.0, 0.5, 0.0, 1.0, 1.0, 1.0,//2
0.5, -0.5, 0.5, 1.0, 0.5, 0.0, 1.0,0.0, 1.0,//5
0.5, 0.5, -0.5, 1.0, 0.5, 0.0, 1.0, 1.0, 1.0,//2
0.5, 0.5, 0.5, 1.0, 0.5, 0.0, 1.0, 1.0, 1.0,//1
//옆2
-0.5, -0.5, 0.5, 1.0, 0.0, 0.0, 1.0,0.0, 0.0,//7
-0.5,-0.5, -0.5, 1.0, 0.0, 0.0, 1.0,0.0, 0.0,//8
-0.5, 0.5, -0.5, 1.0, 0.0, 0.0, 1.0, 0.0, 1.0,//4
-0.5, -0.5, 0.5, 1.0, 0.0, 0.0, 1.0,0.0, 0.0,//7
-0.5, 0.5, -0.5, 1.0, 0.0, 0.0, 1.0,0.0, 1.0,//4
-0.5, 0.5, 0.5, 1.0, 0.0, 0.0, 1.0,0.0, 1.0,//3
//옆3
-0.5, -0.5, 0.5, 0.0, 0.0, 1.0, 1.0,0.0, 0.0,//7
0.5, -0.5, 0.5, 0.0, 0.0, 1.0, 1.0,1.0, 0.0,//5
0.5, 0.5, 0.5, 0.0, 0.0, 1.0, 1.0, 1.0, 1.0,//1
-0.5, -0.5, 0.5, 0.0, 0.0, 1.0, 1.0,0.0, 0.0,//7
0.5, 0.5, 0.5, 0.0, 0.0, 1.0, 1.0, 1.0, 1.0,//1
-0.5, 0.5, 0.5, 0.0, 0.0, 1.0, 1.0,0.0, 1.0,//3
//옆4
-0.5, -0.5, 0.5, 0.0, 1.0, 0.0, 1.0,0.0, 0.0,//7
0.5, -0.5, 0.5, 0.0, 1.0, 0.0, 1.0,1.0, 0.0,//5
0.5, -0.5, -0.5, 0.0, 1.0, 0.0, 1.0,1.0, 0.0,//6
-0.5, -0.5, 0.5, 0.0, 1.0, 0.0, 1.0,0.0, 0.0,//7
0.5, -0.5, -0.5, 0.0, 1.0, 0.0, 1.0,1.0, 0.0,//6
-0.5,-0.5, -0.5, 0.0, 1.0, 0.0, 1.0, 0.0, 0.0,//8
//하
];
// Generate a buffer object
gl.vertexBuffer = gl.createBuffer();
// Bind buffer as a vertex buffer so we can fill it with data
gl.bindBuffer(gl.ARRAY_BUFFER, gl.vertexBuffer);
gl.bufferData(gl.ARRAY_BUFFER, new Float32Array(vertexData), gl.STATIC_DRAW);
return testGLError("initialiseBuffers");
}
function initialiseShaders() {
var fragmentShaderSource = '\
varying mediump vec4 color; \
varying mediump vec2 texCoord;\
uniform sampler2D sampler2d; \
void main(void) \
{ \
gl_FragColor = 0.5 * color + 0.5 * texture2D(sampler2d, texCoord); \
}';
gl.fragShader = gl.createShader(gl.FRAGMENT_SHADER);
gl.shaderSource(gl.fragShader, fragmentShaderSource);
gl.compileShader(gl.fragShader);
if (!gl.getShaderParameter(gl.fragShader, gl.COMPILE_STATUS)) {
alert("Failed to compile the fragment shader.\n" + gl.getShaderInfoLog(gl.fragShader));
return false;
}
var vertexShaderSource = '\
attribute highp vec3 myVertex; \
attribute highp vec4 myColor; \
attribute highp vec2 myUV; \
uniform mediump mat4 Pmatrix; \
uniform mediump mat4 Vmatrix; \
uniform mediump mat4 Mmatrix; \
varying mediump vec4 color; \
varying mediump vec2 texCoord;\
void main(void) \
{ \
gl_Position = Pmatrix*Vmatrix*Mmatrix*vec4(myVertex, 1.0);\
color = myColor;\
texCoord = myUV; \
}';
gl.vertexShader = gl.createShader(gl.VERTEX_SHADER);
gl.shaderSource(gl.vertexShader, vertexShaderSource);
gl.compileShader(gl.vertexShader);
if (!gl.getShaderParameter(gl.vertexShader, gl.COMPILE_STATUS)) {
alert("Failed to compile the vertex shader.\n" + gl.getShaderInfoLog(gl.vertexShader));
return false;
}
gl.programObject = gl.createProgram();
// Attach the fragment and vertex shaders to it
gl.attachShader(gl.programObject, gl.fragShader);
gl.attachShader(gl.programObject, gl.vertexShader);
// Bind the custom vertex attribute "myVertex" to location 0
gl.bindAttribLocation(gl.programObject, 0, "myVertex");
gl.bindAttribLocation(gl.programObject, 1, "myColor");
gl.bindAttribLocation(gl.programObject, 2, "myUV");
// Link the program
gl.linkProgram(gl.programObject);
if (!gl.getProgramParameter(gl.programObject, gl.LINK_STATUS)) {
alert("Failed to link the program.\n" + gl.getProgramInfoLog(gl.programObject));
return false;
}
gl.useProgram(gl.programObject);
return testGLError("initialiseShaders");
}
// FOV, Aspect Ratio, Near, Far
function get_projection(angle, a, zMin, zMax) {
var ang = Math.tan((angle*.5)*Math.PI/180);//angle*.5
return [
0.5/ang, 0 , 0, 0,
0, 0.5*a/ang, 0, 0,
0, 0, -(zMax+zMin)/(zMax-zMin), -1,
0, 0, (-2*zMax*zMin)/(zMax-zMin), 0 ];
}
var proj_matrix = get_projection(30, 1.0, 1, 5);
var mov_matrix = [1,0,0,0, 0,1,0,0, 0,0,1,0, 0,0,0,1];
var view_matrix = [1,0,0,0, 0,1,0,0, 0,0,1,0, 0,0,0,1];
// translating z
view_matrix[14] = view_matrix[14]-2;//zoom
function idMatrix(m) {
m[0] = 1; m[1] = 0; m[2] = 0; m[3] = 0;
m[4] = 0; m[5] = 1; m[6] = 0; m[7] = 0;
m[8] = 0; m[9] = 0; m[10] = 1; m[11] = 0;
m[12] = 0; m[13] = 0; m[14] = 0; m[15] = 1;
}
function mulMatrix(m, k) {
m0=m[0];m1=m[1];m2=m[2];m3=m[3];m4=m[4];m5=m[5];m6=m[6];m7=m[7];
m8=m[8];m9=m[9];m10=m[10];m11=m[11];m12=m[12];m13=m[13];m14=m[14];m15=m[15];
k0=k[0];k1=k[1];k2=k[2];k3=k[3];k4=k[4];k5=k[5];k6=k[6];k7=k[7];
k8=k[8];k9=k[9];k10=k[10];k11=k[11];k12=k[12];k13=k[13];k14=k[14];k15=k[15];
a0 = k0 * m0 + k3 * m12 + k1 * m4 + k2 * m8;
a4 = k4 * m0 + k7 * m12 + k5 * m4 + k6 * m8 ;
a8 = k8 * m0 + k11 * m12 + k9 * m4 + k10 * m8 ;
a12 = k12 * m0 + k15 * m12 + k13 * m4 + k14 * m8;
a1 = k0 * m1 + k3 * m13 + k1 * m5 + k2 * m9;
a5 = k4 * m1 + k7 * m13 + k5 * m5 + k6 * m9;
a9 = k8 * m1 + k11 * m13 + k9 * m5 + k10 * m9;
a13 = k12 * m1 + k15 * m13 + k13 * m5 + k14 * m9;
a2 = k2 * m10 + k3 * m14 + k0 * m2 + k1 * m6;
a6 = k6 * m10 + k7 * m14 + k4 * m2 + k5 * m6;
a10 = k10 * m10 + k11 * m14 + k8 * m2 + k9 * m6;
a14 = k14 * m10 + k15 * m14 + k12 * m2 + k13 * m6;
a3 = k2 * m11 + k3 * m15 + k0 * m3 + k1 * m7;
a7 = k6 * m11 + k7 * m15 + k4 * m3 + k5 * m7;
a11 = k10 * m11 + k11 * m15 + k8 * m3 + k9 * m7;
a15 = k14 * m11 + k15 * m15 + k12 * m3 + k13 * m7;
m[0]=a0; m[1]=a1; m[2]=a2; m[3]=a3; m[4]=a4; m[5]=a5; m[6]=a6; m[7]=a7;
m[8]=a8; m[9]=a9; m[10]=a10; m[11]=a11; m[12]=a12; m[13]=a13; m[14]=a14; m[15]=a15;
}
function translate(m, tx,ty,tz) {
var tm = [1,0,0,0, 0,1,0,0, 0,0,1,0, 0,0,0,1];
tm[12] = tx; tm[13] = ty; tm[14] = tz;
mulMatrix(m, tm);
}
function rotateZ(m, angle) {
var c = Math.cos(angle);
var s = Math.sin(angle);
var mv0 = m[0], mv4 = m[4], mv8 = m[8];
m[0] = c*m[0]-s*m[1];
m[4] = c*m[4]-s*m[5];
m[8] = c*m[8]-s*m[9];
m[1]=c*m[1]+s*mv0;
m[5]=c*m[5]+s*mv4;
m[9]=c*m[9]+s*mv8;
}
function rotateX(m, angle) {
var c = Math.cos(angle);
var s = Math.sin(angle);
var mv1 = m[1], mv5 = m[5], mv9 = m[9];
m[1] = m[1]*c-m[2]*s;
m[5] = m[5]*c-m[6]*s;
m[9] = m[9]*c-m[10]*s;
m[2] = m[2]*c+mv1*s;
m[6] = m[6]*c+mv5*s;
m[10] = m[10]*c+mv9*s;
}
function rotateY(m, angle) {
var c = Math.cos(angle);
var s = Math.sin(angle);
var mv0 = m[0], mv4 = m[4], mv8 = m[8];
m[0] = c*m[0]+s*m[2];
m[4] = c*m[4]+s*m[6];
m[8] = c*m[8]+s*m[10];
m[2] = c*m[2]-s*mv0;
m[6] = c*m[6]-s*mv4;
m[10] = c*m[10]-s*mv8;
}
rotValue = 0.0;
animRotValue = 0.0;
transX = 0.0;
frames = 1;
function animRotate()
{
animRotValue += 0.01;
}
function trXinc()
{
transX += 0.01;
document.getElementById("webTrX").innerHTML = "transX : " + transX.toFixed(4);
}
function renderScene() {
//console.log("Frame "+frames+"\n");
frames += 1 ;
var Pmatrix = gl.getUniformLocation(gl.programObject, "Pmatrix");
var Vmatrix = gl.getUniformLocation(gl.programObject, "Vmatrix");
var Mmatrix = gl.getUniformLocation(gl.programObject, "Mmatrix");
idMatrix(mov_matrix);
rotateZ(mov_matrix, rotValue);
rotateX(mov_matrix, rotValue);
rotValue += animRotValue;
translate(mov_matrix, transX, 0.0, 0.0);
//transX += 0.01;
gl.uniformMatrix4fv(Pmatrix, false, proj_matrix);
gl.uniformMatrix4fv(Vmatrix, false, view_matrix);
gl.uniformMatrix4fv(Mmatrix, false, mov_matrix);
if (!testGLError("gl.uniformMatrix4fv")) {
return false;
}
gl.enableVertexAttribArray(0);
gl.vertexAttribPointer(0, 3, gl.FLOAT, gl.FALSE, 36, 0);
gl.enableVertexAttribArray(1);
gl.vertexAttribPointer(1, 4, gl.FLOAT, gl.FALSE, 36, 12);
gl.enableVertexAttribArray(2);
gl.vertexAttribPointer(2, 2, gl.FLOAT, gl.FALSE, 36, 28);
if (!testGLError("gl.vertexAttribPointer")) {
return false;
}
gl.enable(gl.DEPTH_TEST);
gl.depthFunc(gl.LEQUAL);
gl.clearColor(0.6, 0.8, 1.0, 1.0);
gl.clearDepth(1.0);
gl.clear(gl.COLOR_BUFFER_BIT | gl.DEPTH_BUFFER_BIT);
gl.drawArrays(gl.TRIANGLES, 0, 36);
document.getElementById("matrix0").innerHTML = mov_matrix[0].toFixed(4);
document.getElementById("matrix1").innerHTML = mov_matrix[1].toFixed(4);
document.getElementById("matrix2").innerHTML = mov_matrix[2].toFixed(4);
document.getElementById("matrix3").innerHTML = mov_matrix[3].toFixed(4);
document.getElementById("matrix4").innerHTML = mov_matrix[4].toFixed(4);
document.getElementById("matrix5").innerHTML = mov_matrix[5].toFixed(4);
document.getElementById("matrix6").innerHTML = mov_matrix[6].toFixed(4);
document.getElementById("matrix7").innerHTML = mov_matrix[7].toFixed(4);
document.getElementById("matrix8").innerHTML = mov_matrix[8].toFixed(4);
document.getElementById("matrix9").innerHTML = mov_matrix[9].toFixed(4);
document.getElementById("matrix10").innerHTML = mov_matrix[10].toFixed(4);
document.getElementById("matrix11").innerHTML = mov_matrix[11].toFixed(4);
document.getElementById("matrix12").innerHTML = mov_matrix[12].toFixed(4);
document.getElementById("matrix13").innerHTML = mov_matrix[13].toFixed(4);
document.getElementById("matrix14").innerHTML = mov_matrix[14].toFixed(4);
document.getElementById("matrix15").innerHTML = mov_matrix[15].toFixed(4);
if (!testGLError("gl.drawArrays")) {
return false;
}
return true;
}
function main() {
var canvas = document.getElementById("helloapicanvas");
console.log("Start");
if (!initialiseGL(canvas)) {
return;
}
if (!initialiseBuffer()) {
return;
}
if (!initialiseShaders()) {
return;
}
// Render loop
requestAnimFrame = (
function () {
// return window.requestAnimationFrame || window.webkitRequestAnimationFrame
// || window.mozRequestAnimationFrame ||
return function (callback) {
// console.log("Callback is"+callback);
window.setTimeout(callback, 100, 10); };
})();
(function renderLoop(param) {
if (renderScene()) {
// Everything was successful, request that we redraw our scene again in the future
requestAnimFrame(renderLoop);
}
})();
}
hylee_128.png

24 KiB

<html>
<head>
<title>WebGLHelloAPI</title>
<meta http-equiv="content-type" content="text/html; charset=ISO-8859-1">
<script type="text/javascript" src="WebGLHelloAPI.js">
</script>
</head>
<body onload="main()">
<canvas id="helloapicanvas" style="border: none;" width="400" height="400"></canvas>
<button onclick="trXinc()">Translate X + 0.1</button>
<button onclick="animRotate()">Animation Rotate + 0.01</button>
<table border=1>
<tr >
<td id="matrix0"> <td id="matrix4"> <td id="matrix8"> <td id="matrix12">
<tr>
<td id="matrix1"> <td id="matrix5"> <td id="matrix9"> <td id="matrix13">
<tr>
<td id="matrix2"> <td id="matrix6"> <td id="matrix10"> <td id="matrix14">
<tr>
<td id="matrix3"> <td id="matrix7"> <td id="matrix11"> <td id="matrix15">
</table>
<p id="webTrX"> Test </p>
</body>
</html>
전승곤_4508.JPG

39.2 KiB

0% Loading or .
You are about to add 0 people to the discussion. Proceed with caution.
Please register or to comment