data:image/png;base64,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:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAeAAAAFoCAYAAACPNyggAAAAAXNSR0IArs4c6QAAIABJREFUeF7t3Xt821d9N/DP90hynF6dkDaW5JaylQ0KD7D2aaFAmRvJTkOXjW0UWMdGoawhTSxLtnNtLk6aNEmTWLKc9BJYC2yMQTsYK7TEll1D6QMddFw2sg061oslJ7TEaaG52NL5Pi+lzehKm9iW9Pvp8sl/ffV3zvec9zntJ/5ZOkfAPxSgAAUoQAEKOC4gjldkQQpQgAIUoAAFwADmJqAABShAAQq4IMAAdgGdJSlAAQpQgAIMYO4BClCAAhSggAsCDGAX0FmSAhSgAAUowADmHqAABShAAQq4IMAAdgGdJSlAAQpQgAIMYO4BClCAAhSggAsCDGAX0FmSAhSgAAUowADmHqAABShAAQq4IMAAdgGdJSlAAQpQgAIMYO4BClCAAhSggAsCDGAX0FmSAhSgAAUowADmHqAABShAAQq4IMAAdgGdJSlAAQpQgAIMYO4BClCAAhSggAsCDGAX0FmSAhSgAAUowADmHqAABShAAQq4IMAAdgGdJSlAAQpQgAIMYO4BClCAAhSggAsCDGAX0FmSAhSgAAUowADmHqAABShAAQq4IMAAdgGdJSlAAQpQgAIMYO4BClCAAhSggAsCDGAX0FmSAhSgAAUowADmHqAABShAAQq4IMAAdgGdJSlAAQpQgAIMYO4BClCAAhSggAsCDGAX0FmSAhSgAAUowADmHqAABShAAQq4IMAAdgGdJSlAAQpQgAIMYO4BClCAAhSggAsCDGAX0FmSAhSgAAUowADmHqAABShAAQq4IMAAdgGdJSlAAQpQgAIMYO4BClCAAhSggAsCDGAX0FmSAhSgAAUowADmHqAABShAAQq4IMAAdgGdJSlAAQpQgAIMYO4BClCAAhSggAsCDGAX0FmSAhSgAAUowADmHqAABShAAQq4IMAAdgGdJSlAAQpQgAIMYO4BClCAAhSggAsCDGAX0FmSAhSgAAUowADmHqAABShAAQq4IMAAdgGdJSlAAQpQgAIMYO4BClCAAhSggAsCDGAX0FmSAhSgAAUowADmHqAABShAAQq4IMAAdgGdJSlAAQpQgAIMYO4BClCAAhSggAsCDGAX0FmSAhSgAAUowADmHqAABShAAQq4IMAAdgGdJSlAAQpQgAIMYO4BClCAAhSggAsCDGAX0FmSAhSgAAUowADmHqAABShAAQq4IMAAdgGdJSlAAQpQgAIMYO4BClCAAhSggAsCDGAX0FmSAhSgAAUowADmHqAABShAAQq4IMAAdgGdJSlAAQpQgAIMYO4BClCAAhSggAsCDGAX0FmSAhSgAAUowADmHqAABShAAQq4IMAAdgGdJSlAAQpQgAIMYO4BClCAAhSggAsCDGAX0FmSAhSgAAUowADmHqAABShAAQq4IMAAdgGdJSlAAQpQgAIMYO4BClCAAhSggAsCDGAX0FmSAhSgAAUowADmHqAABShAAQq4IMAAdgGdJSlAAQpQgAIMYO4BClCAAhSggAsCDGAX0FmSAhSgAAUowADmHqAABShAAQq4IMAAdgGdJSlAAQpQgAIMYO4BClCAAhSggAsCDGAX0FmSAhSgAAUowADmHqAABShAAQq4IMAAdgGdJSlAAQpQgAIMYO4BClCAAhSggAsCDGAX0FmSAhSgAAUowADmHqBAFQjEG5obzGmeG+zh3J7YoeFDVTAlToECVS/AAK76JeYEq12gNxj6CBSrALMPsBdBsKU9PfiZap8350eBShdgAFf6CnL8NSuQDIbfoYq4KtIea5a1Hej/7765ra+zxm4XQQCCjkg69Z2aBeLEKVDmAgzgMl8gDo8CLxe4vWlecNx6NgP6FmvQERtJDb/8mXhTuNlY9AD6o5zRmzpGhtKUpAAFykuAAVxe68HRUOBVBXaf03zGRJ03KqofViB5KJPb043h7Ks1uAGX+N4UaLgBQBtU/sabzfYueXr4VySmAAXKQ4ABXB7rwFFQ4KQCycbW96uxGwX4qhHdtjQ9+IvJku0INM/xwbsCwHtFsTYymvrSZNvyOQpQoHQCDODS2bJnChQskAyEfw9y/FXyEVFPR1um/z+m2+luf/iNWUFCBXUKicXSAz+Ybl9sRwEKFC7AAC7ckD1QoOgCu89pbsz6vOugeLcCy6Kjqb3FKtLX1LrA5uw2EXzDZnVT9OeDB4rVN/uhAAUmL8AAnrwVn6RAyQXuvqC5/tlxb5sA14vIJ8/0Tez+6OPDR4tdOF/nl+PeNgWuV5FPHvJN7O4uQZ1ij5v9UaCaBBjA1bSanEtFC8SbWheYnN0GkW9q1t7sxE+mu895b2PWO74egncKZFkkM9Bf0YgcPAUqSIABXEGLxaFWp0A5/G427p93sRGJQ+VXKrmOaObB/6xObc6KAuUjwAAun7XgSGpMIP/p5Dp4VgKyAGXy6eS+YMs1VnUDIPc9L/bW1VP4tHWNLR+nS4GCBRjABROyAwpMTeBOXOI7Gph9A6BtUJTd93O3zXnXmTPq6mMCXKtq4oHRhk99APfkpjZLPk0BCpxKgAF8KiH+ewoUUaA3GLoSKjsV+kNrdE05n1CVDC5oUoxvgZo3quY6oqND3ywiBbuiQM0LMIBrfgsQwAmB2+aGfmvcyHYI/DAmFh3pf8SJusWo0RtofSdU4yL630btiqWjQ08Uo1/2QYFaF2AA1/oO4PxLKhC/oLnBTHi7oPp+iNncnh74m5IWLFHnCkhfIPxRhS5X4AvmaN3OyMEHnitROXZLgZoQYADXxDJzkk4L5AMrGQhfB2AFIF88ckR3rhxLPev0OIpd77bzr541kTu6DCp/Iqo3R0YHP1fsGuyPArUiwACulZXmPB0T2BUMXZ6zJg7RJ6zNrojtH37cseIOFeo5Z/6FHl9uhwBzssZ2dIwM/bNDpVmGAlUjwACumqXkRNwWyH9oCXbiFgjelDW5jo6RB7/h1JiSsxechfqJRVnz/K6OkW8fcapuX7B1ntVcD2C+d3Qc61Y8M5BxqjbrUKDSBRjAlb6CHL/rAvmv7dTPqI9C8ecQk/CnGz7p1Nd2ugEzOxC+TqFrFfKIAJcZ6Kq2zOAXnILpxkV1swP+TyjkRqh+pl5O612Uue+wU/VZhwKVKsAArtSV47jLQuClB1d4xN46lWsCC51AbyD8bgHiFvLTHGRFZ6b/qZ6m+Rd6bW6nArMFiEQyqe8XWmey7ZONC85RmVgl0FYVuak9k/rKZNvyOQrUogADuBZXnXMuWGCXf/7FOckeP7pxQrKdXZnhaV8TONXB7Ay0nueDbgP09QrE2jOpb728j12B1pac2h6IPKJZe5MT50qfGEPvea1vRs7GAYgxiLWNpP51qnPk8xSoBQEGcC2sMudYNIH85QUTdce6ReVyD0zX0kz/QNE6P0VHPU2XzzT2tGUCuU6ATQczqU93A/bVmnWj2Ts74P0EgC4Fdo1lMslu7Bt3bLyBeQsNZIsoUqJ1myP7H3jaqdqsQ4FKEGAAV8IqcYyuC+TDz2PPaAPsxyBmj8z07o489sAxpwaWCIQ+aCCbAHz5yPiRm1c88/AvJ1t7VzD0mqzKRgHmCezySGbovsm2LfS5OwOXnHYMs9sU9qMicsfBs2fd1r3vHsf+ElDo+NmeAqUUYACXUpd9V4VAPBi+2lhsheBBzepmJ1/nvvCqO9erwEFrPJ0dI3sfmy7qi6+GEwByYjUW2T+4b7p9TbVdfM58v6nLbgRwKcR0tqcHBqfaB5+nQLUJMICrbUU5n6IJ9Jw//02ebDYugAdiOyLpB39YtM5P0VHi3NBc8ZrNUL3MI6azmK+6+wKh91lgKyD9Pu+M9Tc++bUxp+bV52/5v1Y0b3pQjXS1jwz81KnarEOBchNgAJfbinA8rgvcGVg456geXQWxVxngprbM4D86Naj8V3pmBQIRAZYC2HEwk72jG8PZYtdPXrhghj2cjQrsYrGy7aH9s/bc4+CNR8lAy58p7HpAvuzzzrjVyb8EFNuS/VFgugIM4OnKsV3VCeTDryHg/4QAN6risxPW07vsQP/zTk00GWhdqLC3AjLoEbveia80Hf9Qme/YFoFcbMTG2tJDQ47Nd/aCs7R+ogPQD0HNjrHRgbtO9qEyp8bFOhRwSoAB7JQ065S1QF9w3jyrZieAfzEeWdv2lHMnOiUbQxdZg4RAjMfraV/65N4fO42VaAxdKsbkfz98wOZsV+zA4M+cGkNvIHy+QLaq6oVGJNaWGXjYqdqsQwE3BRjAbuqztusCyXMX/HbOO7HTA5kDk+uIOHim8fGLDbLHNgDaaoGVMQdfdb8KvMT9oWuNwQZV3OubyG1a8vTwr5xapB5/6AqvSI8CPxHxrYikHxhxqjbrUMANAQawG+qs6bqAm7f6fBHXeDKNBxeJwTKFueNQQ0O8nL6ac2dg4WnH5MgqBa4FdGMkPfhZAdSJRbsG13iu8I99TAWdAD5/xviRnuun8JUrJ8bIGhQolgADuFiS7KciBF5ydrIr99r2BltCqtojwKPeibrVS56+f3+5wu3yz3ttTsytULnAGhuNpQe/7dRYe5rmzzY2u1wgf6TQ7qiDZ1s7NUfWoQADmHugZgR6A63vhGpcRP97XO2KrtGhJ5ya/G1zQ7814TE7AMzNKdo7Rge+51TtQusk/PPeI2ISEP1xnejKxSND6UL7nGz7XcHQ7+RU8r+bPxtqYu2j/Y9Oti2fo0C5CzCAy32FOL6CBY5fE6gTWxX6BlHEIqODDxXc6SQ72H1O8xk5n2eNCt4PlXXtmdTn4dDr3EkOcVKPdaPbNPi/db2IrobKp86akd350ceHj06qcREeSgRCLYDsEMF3vON168v5zUERpssuakSAAVwjC12L0/zrOe868/m602IKvRaqPf7R2X/t1DWBCkhfcN5HFGYtVD5Xj/qt1XBF39ZZ4bNn1ss6iC4Uq6sj+wfvdWpv5b+7nDsyvsQobgDMXTnzqz4n7z52ap6sUzsCDODaWeuammlvIPQhQNYr9CvWeG/tGNl70CmAE6+6Ifr4hNrlTr7qdmqOL74a7oHgDIGnPZLe69gpYdvntp5b57FroLhSDFZG0qmvOTVv1qFAMQUYwMXUZF+uC/T6Wy+BHL8K71mPaOfS9OBPnBpU/lW3YnyLqlwEtbHo6NA3Has9e8FZqJ9YlDXP73Lyp8Jef+gqgdmhRh+WnG+Nkzce7Qxe+VafmvzXlnI5rzfW4cL3p51aX9apTgEGcHWua83N6vhh/zNy+WsC3w7YrkhmMOUUwt0XNNc/e8zbJaLXQ81mJ090esmnutcq5BEBLjPQVW0Ofmr4Blzie5O/4UYRiUGQmJEe270Ij0445f/i2daboebr9VK/ZVHmvmecqs06FChEgAFciB7bui7w6+vu9KMquNPM9N3m6DWBwZZrRDV/acJ9cqxuQ+TgA885hdIbCL9bgLgFfpqDWdGZ6X+qp2n+hcbmdgowW4BIJJP6vlPjyZ+hfUQObxKVK2BkWfvIwP1O1d4+t/V0n8m1i+AvAdldnxm7w8m/BDg1T9apLgEGcHWtZ03Npicwb6FHzS0wMjielVuWHej/uVMA8WDL24zaXkCey4p2djr4qntnoPU8H3Sbhb5egFh7JvWtl897V6C1Jae2ByKPaNbe5OQViomm0FuMSq8qjipy0Wjmwf90al36zmsJ2JxuUuD3RLSjPT34oFO1WYcCUxVgAE9VjM+7LvDivbb53/OKGu2Ijgz+yKlBJRsXnGPNxGaj+k4L6YyOpvY6Vbun6fKZxp62TCDXCbDpYCb16ZNdXtCNZu/sgPcTALoU2DWWySS7sW/cqfEm/OE/NYJbrOD+o4fRvXIs9axjtZuufLtYbw9gD/hy6LrRwbOtnZoj61S+AAO48tewZmaQDz+ViVUCbRUxq9syA//k1OTvxCW+o8GGNlGJANrzb5lDt+9x8PeciUDogwayCcCXj4wfuXnFFI5n3BUMvSanJn/mdEhgl0cyQ/c55fbC78c9HSLmr6B2y9joFZ/qRrd1qn5vsOUvoPYmiNxrfdkdsceHDzlVm3UocCoBBvCphPjvXRc4fkduk38xLBYD8ul6zEw6+Z3aeDB8tSi2i+Ab9TpzrZMf8tnln39xTnK9Chy0xtPZMbL3sekuyItvDvI3HuXEaiyyf3DfdPuaarvjr4atboXizcago20kNTzVPqb7/PHvLs+UTkA/IGK3RtJDn6nEw1CmO3+2K18BBnD5rg1HBiB/djIUOwH7XTvuXRd7Zu+oUzB9geY3WHjzr7pnqNGok6+6E+eG5orX5D/cdZlHTOfSTP9Aseb94qeGtwLS7/POWH/jk18bK1bfp+onGQy/w1pJGMGTOTuxPLZ/+PFTtSnWv483Nl/gMb5bVfV8azTm5NnWxZoD+6kuAQZwda1n1cymt6nl9WJ1hwKz1aMd0acGv+vU5OINzQ3mdF+3qC6AYlVkNPUlp2of/2k/EIgIsNQCOw5lsnd0Yzhb7PrdF11T13DoUExgF4uVbY37Z+1x6pSw/O/uE8HwXwiwPn/j0XjWbFl2oP/5Ys/x1fpLNrX8Pqz2QPFvMNmbIulhXnvoFD7r/C8BBjA3RFkJvHhH7nJA/1hgNkQyA/mzkx3588JVeIc+rqKroHqnnF7X4+RXmpKB1oUKeyuggx7B+qXpwV+UeuK7z3lv44Tv2BaBXGzExtrSQ0Olrnmi//xXh+q8elP+1bBa6Y6ODnzOqVfDxz+gFvT+lSryX136W894NuHk3cdOGbNOeQswgMt7fWpmdPnD/mf5H/4YxHYB8vdy1Nfj5Hdq+5rCzTmLOBQ/8kzIqrZnBjJO4ScbQxdZg4RAjMfraV/qwolOicbQpWJM/vfDB2zOdsUc/NRw39zW11mv3S6K/O+J26P7nXvbkf+AmlVZocAfiDXrIvv7HTvb2qn9xTrlK8AALt+1qZmR7QqGLs/h+PdGH/PBrFiS6X/Kqcnf3njVBeOe7I7j//M3uVh05MFHnKr94k/7+U8ntwKyoj2T+opTtV+ljsT9oWuNwQZV3OubyG1y8qfC3mDoSqiJA/YHdty7ytnf97e+wcLGRVAPRYeTB5i4vOYs76IAA9hFfJZ+QSAZCC9TyO+2ZwY+7pRJ/vXnDG9utUI+ZKysb3Pw9ecXcY0n03hwkRgsA8ztYw0Nie599zj2/dxTGd8ZWHjaMTmySoFrAd0YSQ9+Vhy6QvHXvwawK6HY4/SvARL+8HwBtkPwkGZ1o5MHmJxqXfjvq0+AAVx9a1pxM0oGw1G1OL99NNXhwOCl19/yYRjtFujfH8t68idoOfYBoBc+1a09AB71TtStLud7bXf4573WJ+ZWqFxgjY06+anh/Afh5DTfBoFe5VFZuXR04MsO7I3jJfLfXX5u3LsU0IXtmcHfd6ou69SeAAO49ta87GbsVAAnmq58u7GeuIqk63KeZYv3f92xr8Akz5332+r1bAcwN6do7xgd+F7ZLcSrDCjhn/ceIyauovvqRFcuHhlKOzX2vkDrGxQ2AahPjETbRlL/6lRt1qFAqQUYwKUWZv+nFCh1APfNaQnkfLoFgrd4DGJOHgKx+5zmM3I+zxoVeb+orI1kBv7eqU/6nhJ+Cg/kPyTX4P/W9SK6GiqfOmtGdudHHx8+OoUuCno0GQxfrYr8X2CGJ5Bd15UZ5o1HBYmycTkIMIDLYRVqfAylCuDkhQtm6PPjHRBZJKpbDo5e8UmnjkFUQPqC8z6iatYB8rf1qN/q5OldpdpSx0+Vqpd1EF2YPw40knbuU8MvHAc6uw2q7QLd6fRxoKUyZb+1K8AArt21L5uZlyKAk/7wn0CwxYq5X58f3xA75NwZwL2B1ndCbUIEPxtXu6JrdOiJssEu0kB2BUO/k1PpgeAMgac9kt77wyJ1fcputs9tPdfnsZug+k4jpiOSGeg/ZSM+QIEyFGAAl+Gi1NqQihnA+avwxEr++6zHDLKxtszwfzjlmQwuaIJObLXAG6E2Fh0d+qZjtWcvOAv1E4uy5vldHSPfPuJU3V5/6CoBdqiRhyXnWxPZ/8DTTtVOBsK/p9CEQp4TIx3tIwM/dao261CgGAIM4GIoso+CBIoRwPnL4I/KkZuheI/Tl8G/cOOPt0tEr4eazWOjA3ed7JrAgrBe1rgbMLMD4esUulYhjwhwmYGuassMfqGYdU7W1w24xPcmf8ONIhKDIDEjPbZ7kYM3RfUGwx+AYpNA/wlH6zY6eYCLU8asU50CDODqXNeKmlWhAdzrD60SkUUqmqxPH+pz8n/+iWDLNaK62Y3/+fcGwu8WIG4hP81BVnRm+p/qaZp/odfmdubP0BYg4uSBEm7/Jei5Cc8yKD6m8Gw6lOm/26m/BFXUf2wcbFkJMIDLajlqczAFB3Cg5amcyf1px8jQPzsluDvY8ras2l5AnoPDrz93BlrP80G3Afp6BWLtmdS3Xj7vXYHWlpzaHog8oll7k5MHSuR/DWD0+MlmR934NYDqxDZAfjenNtYxOviQU3uCdSgwVQEG8FTF+HzRBQoP4PBPsqJ/0Jke/EnRB/eyDl/6ASBAOqOjqb2lrnmi/56my2cae9oygVwnwKaDmdSnT/ZTXv7CgVkB72IBOhXYNZbJJLuxz7ETt379QTjcf/QwuleOpZ51yur4B+Fg/xaQne2Zgd1O1WUdCkxFgAE8FS0+WxKBSgjgF74C09AmKhFAe5z+CkwiEPqggWwC8OUj40duXvHMw7+c7GLkLxzIqmwU4EoVXR5ND351sm0Lfe74qVLHPDGIuQFqt4yNXvEpp74K1hsI3wXgofZM6u5C58H2FCiFAAO4FKrsc0oC5R7A8WD4auPSIRC7/PMvzkmuV4GD1ng6O0b2PjYl3Jc83Hte65uRy58qhZxXEV0ymvr36fY11XZ957UENKtbrIOHoTCAp7pKfN5pAQaw0+Ks9xsC5RrAJ45BVKDOGLQ7eQxi4tzQXPGazVC9zCOmc2mmf6BYW6cvEHqfBbYC0u/zzlh/45NfGytW36fqJxkMv8NaSQjwlFXPslgJjwNlAJ9qNfjv3RZgALu9AqyPcgvg/EUA5nRfN1QXiGJVZDT1JaeWqRsX1c0KBCICLAWw42Ame0c3hrPFrp8/JcwezkYFdrFY2fbQ/ll77sE9uWLXeZX+pDfY8mFAuwF8fjxrtpTiQgwGsEOryTLTFmAAT5uODYslUC4B7PZVeMlA60KFvRWQQY/Y9UvTg78olvGr9ROfM98vddlbBHKxERtrSw8Nlbrmif7zV0LWeXM3KeSDsLI+WuQrIRnATq0k60xXgAE8XTm2K5pAOQTwC5fBIw7A8cvgk42hi6xBQiDG4/W0L31y74+LhjvJjhKNoUvFmISK7tesLosdGPzZJJsW/Fjf3NbXWa/dLooAjI1GivR1MgZwwUvDDkoswAAuMTC7P7WAmwHc29Tyeljkv1PrF2Pbi/U//1PPGrjt/KtnTWSPbQC01QIrY5nBf5xMuxI+I3F/6FpjsAEwX/SOT9yy5OnhX5Ww3v/quth/CWIAO7VyrDNdAQbwdOXYrmgCbgZwItDyh6K6pn00dVnRJnSKjr6IazyZxoOLxGCZwtxxqKEh3r3vHse+n3uqed4ZWHjaMTmySoFrBdjQlk79jQB6qnbF+PfF/DUAA7gYK8I+SinAAC6lLvuelICbAbwr2BLKqa5qz6TCkxpsgQ/1BefNy6mJC/Cod6Ju9ZKn799fYJcla77LP++1OTG3QuUCa2w0lh78dsmKvazj+AXNDTLuiQvkHe2Z1BunU5cBPB01tnFSgAHspDZrvaJALQTwbXNDvzXhMTsAzFVro9H9g9+tlO2QbGz5fTUah+iPc6IrO0aG0k6MPdk07zLNefraRwfePp16DODpqLGNkwIMYCe1WavmAnj3Oc1nTPg8a0Twfqisa8+kPg+HXucWc7t1o9s0+L91vYiuhsqnzpqR3fnRx4ePFrPGy/tiAJdSl32XgwADuBxWocbHUI0/ASsgu4Ohv8xB1gnwdzN05pZFmfsOV/pSb50VPntmvayD6EKxujqyf/DeUs2JAVwqWfZbLgIM4HJZiRoeR7UFcDwYutxYk4Do4xNql3eNDj1RbcubCFz5u1BPjzE4DchFI+kHf1jsOTKAiy3K/spNgAFcbitSg+OplgBOBhc0Kca3iMpFVm0sOjr0TaeWc0egeY4P3o/nzPO9HSPfPuJU3V5/6Kr8jUNq9CGTq1sb2f/A08WqzQAuliT7KVcBBnC5rkwNjavSA/iFG3+8nRD9ONRsHhsduMupy+DzVw42BH3torpSgW8J8FYDXdWWGfyCU1voBlzie6P/7CVGTEwE8Rnpsd2L8OhEofUZwIUKsn25CzCAy32FamB8lRzAvYHwtQC6BfpPh4/IzY7eedsUukqs9Fngv6zxLM3flNTTNP9Cr83tVGC2AJFIJvV9p7ZQsnHBOdYzfrOoXAHVzvbRwa8XUpsBXIge21aCAAO4ElapysdY4QH8VQG+FMmk8nfPOvKnL9D8BgtvHNDXwSDaPvKbQbcr0NqSU9sDkUc0a2+K/nzwgCODA5AMXvlWwJNQi8MquY5o5sH/nE5tBvB01NimkgQYwJW0WlU61koO4IQ//A8G+JwTNyblD6cw496bAFwHYNtYJps42U1J+dfTswLexQJ0KrBrLJNJdmOfYydu9fnDf2oFnwawoD2T+tZUty8DeKpifL7SBBjAlbZiVTheBvDJFzUfpLP9vutVtFtFv5LV3JquzPAzk90Ku4Kh12RVNgpwpYouj6YHvzrZtoU+l/CHv2u9srjjqYHvTbUvBvBUxfh8pQkwgCttxapwvAzgV1/UeFO42VjERXAoB4nF0gM/mO4W6D2v9c3I2QSAnFcRXTKa+vfp9jXZdgzgyUrxuVoUYADX4qqX2ZwZwL+5IPHG5guM+LZD7P8V8SyLpPuLduBFXyD0PgtsBaTf552x/sYnvzZWqi3BAC6VLPutBgEGcDVPT0LBAAAgAElEQVSsYoXPgQH86wXMH12Z83pXqOATKug925fdUYojH5MXLphhD2ejArtYrGx7aP+sPffgnlyxtxIDuNii7K+aBBjA1bSaFToXBvALC5fwhz4sYrYA9hveiRldTtyUFJ8z3y912VsEcrERG2tLDw0VcxsxgIupyb6qTYABXG0rWoHzqfUATgbD71BFPL90IohF0qnvOL2MicbQpWJMArAHbA5dsQODPyvGGBjAxVBkH9UqwACu1pWtoHnVagD3NF0+06On7YFKWMSuiqSH8l/ZcfOPxP2ha43BBqjc453Ibl7y9PCvChkQA7gQPbatdgEGcLWvcAXMr1YDePO5oblneOQn3mw2WGjQFXOZ7wwsPO2YHFmlwLUCbGhLp/5GpnmFIgO4mCvDvqpNgAFcbStagfOp6QD2yg/bM6nGcly23kD4fIXeDcgT0UzqY9MZIwN4OmpsUysCDOBaWekynicDuDwDOL9lkoHwxxR4V3smdf10thADeDpqbFMrAgzgWlnpMp4nA5gB/ErbkydhlfF/tBxaUQQYwEVhZCeFCDCAGcAM4EL+C2LbShVgAFfqylXRuBnADGAGcBX9B82pTFqAATxpKj5YKgEGcOEBvCPQPKdOPTfkZuRuiz0+fKhYa8XfARdLkv1Q4DcFGMDcFa4LMICnH8D5m5Iagr52UV0pwKMKvFVh1hzKjH/mZFcVTnbRGcCTleJzFJi6AAN46mZsUWQBBvD0AjjpD10BkT0WeMIaz9KOkb2PxYMtb/NA46posAax2EhquJDlYgAXose2FDi5AAOYO8R1AQbw9AK4NxDutqINsfRg9OWL2Bto/RCQ2wKY71g7sSq2f/jx6Sw0A3g6amxDgckJMIAn58SnSijAAJ5eAO/yz784vyxLR/f+yystz90XNNc/O+HtEsUGf2ZW3QemcdsRA7iEG59d17wAA7jmt4D7AAzg6QXwZFcuEQgf+6/M42f14bFjk21z4jkG8FTF+DwFJi/AAJ68FZ8skQADmAH8SluLB3GU6D84dls2AgzgslmK2h0IA5gBzACu3f/+a3nmDOBaXv0ymTsDmAHMAC6T/xg5DEcFGMCOcrPYK/6PNhiOqsX57aOpjukI9QbCP8mK/kFnevAnU22/K9gSyqmuas+kwlNtm38+4Q//gwE+FxlNfWmq7Y9fR+jAbUj8HXDq7qmuDZ+ngBMCDGAnlFnjpAL8CZg/AfMnYP5PohYFGMC1uOplNmcGMAOYAVxm/1FyOI4IMIAdYWaRkwnUdAB75CfebDa45OnhX5Vql/AVNF9Bl2pvsd/CBBjAhfmxdREEajWAe5oun+nR0/ZAJWzFroqlhz5dBM7f6IIBzAAuxb5in4ULMIALN2QPBQrUagCfYEsGw+9QRTz/zyKIRdKp7xRIerw5T8IK3wXgofYMA7gY+4l9FF+AAVx8U/Y4RYFaD+ATXAl/6MMiZgvEDgvqVkXSD4xMkfJ/Hj9xFrRCHlGbXcmzoKcryXYUKJ0AA7h0tux5kgIM4F9D7T6n+YxsnXclFItU0Hu2L7vjo48PH50kJX59G5LMskajvA2JPwFPdu/wOecFGMDOm7PiywQYwL+5JeKNzReI8W4V6NsNsLItM/iFk22cHYHmOT54tgDyB1BZOzY68WneB8xX0PyfTXkLMIDLe31qYnQM4Fdf5nhTuNlYSYjoWA4Si6UHfvDSp7vR7G0I+tpFdaVAP5Ory22KPT58qFgbh5cxFEuS/VDgNwUYwNwVrgswgE++BPmQneX3XQfRmyH4xwnNru3KDD/T2xS6SqzELfCENZ6lHSN7Hyv2YjKAiy3K/ijwawEGMHeD6wIM4MktQfyC5gbPuGeNQj4C4N8BPRcG0faRwa9ProepP8UAnroZW1BgsgIM4MlK8bmSCVRyAPcGwvcJ8OVIJpX/yosjf5LBK9+q1ts8Njqxuxi/5z3ZoBnAjiwpi9SoAAO4Rhe+nKZd4QF8LYBugf7T4SNy88qx1LPlZFvoWBjAhQqyPQVeXYABzN3hukAlB3AeL3/gxXPHvJ0Q/TjUbB4bHbirG7CuwxY4gN5A+HyF3i2QJ9ozqY9Np7uEP/xd65XFHU8NfG+q7ZNN8y7TnKevfXTg7VNtm3++N8BPQU/HjW2cE2AAO2fNSq8iUOkBfGJayeCCJsX4FlG5yKqNRUeHvlmJi35nYOFpx+TIKgWuBXRjJD34WQF0OnNhAE9HjW1qRYABXCsrXcbzrJYAPkEcD4YuN9YkIPr4hNrlXaNDT5Qx/0uHJnF/6FpjsEEV9/omcpsKvSSCAVwhK89huiLAAHaFnUVfKlBtAZyfmwKyOxj6yxxknQB/N0NnblmUue9wua58ojF0qRiTAOwBm0NX7MDgz4oxVgZwMRTZR7UKMICrdWUraF7VGMAn+PNHS074PGtE8H6orGvPpD7/Qj6Xx5/4nPl+qcveIpCLjdhYW3poqJgjYwAXU5N9VZsAA7jaVrQC51PNAXxiOW6bG/qtCY/ZAWCuWhuN7h/8rptLlbxwwQx7OBsV2MViZdtD+2ftuQf35Io9JgZwsUXZXzUJMICraTUrdC61EMAnlqYvOG+eVZO/evBR70Td6iVP37/f6WXrC4TeZ4GtgPT7vDPW3/jk18ZKNQYGcKlk2W81CDCAq2EVK3wObgZwIhj6A4Gsa0+nLnOK8Yu4xpNpPLhIDJYrzO2HGhri3fvuGS91/d7zWt+MnE0AyHkV0SWjqX8vdU0GcKmF2X8lCzCAK3n1qmTsbgZwb1PL62GxDVC/GhONjvQ/4hTrbedfPWsie2wDoK0v3nj0j6WovSsYek1WZaMAV6ro8mh68KulqPNKfTKAnZJmnUoUYABX4qpV2ZjdDOD/eTXcFG7OWcSN4kcyIavanhnIOMWcbAxdpEbyr6U98Jho+1P9/1aM2scvcQh4FwvQaUX6DqXTfd3YV/KftP/H1B/+Uyv4tIFc1ZYZeHiqc+JBHFMV4/OVJsAArrQVq8LxlkMA51m70W0a/A/9lYhZCbV7zpqRi3/08eGjTpEnA60LFfZWQAY9YtcvTQ/+Yrq1k4GWVlXdCdHvaBZroj8fPDDdvqbaLtEUeotR6VXFUYNsrC0z/B9T7SP/PAN4OmpsU0kCDOBKWq0qHWu5BPAJ3nhDc4OcXrfeqH0vFKsio6kvOUXfjYvqZgUCEQGWAthxMJO9YyoXLuRfqYvV/KetZwFoj2RS33dq7HcGFs45KkduhuI9MLKsfWTg/kJqM4AL0WPbShBgAFfCKlX5GMstgP/nFWqg+Q0W3vyr4RlqNBodGfyRU0uRODc0V7xmM1Qv84jpXJrpHzhZ7eTsBWdp/cRaAd6ngpva06kvOjXWG3CJ703+hhtFJCaC3rr02K5FeHSi0PoM4EIF2b7cBRjA5b5CNTC+cg3gE/S9TS3vhdXtEHyzXmeuXZS57xmnlmWXf97FOTG9Chy0xtPZMbL3sZfW7gbM7ED4OoWuheCus3y57U6+Nk/4w/MNdKcaeVhyvjWR/Q88XSwbBnCxJNlPuQowgMt1ZWpoXOUewPmluBOX+MaDs5aqol1V4z8ePXTbniL8lDfZZU4EQh8EZJMBvnxk/MjNK555+Je9gfC7AUkA+p9ZmJWdmf6nJttfoc/tDIZ+x6uyE4IzBZ72SHrvDwvt8+XtGcDFFmV/5SbAAC63FanB8VRCAJ9YlmTjgnPUM7FJrL7LQjqjo6m9Ti1ZT9PlMz329OUAPqLAv4rAb1VisWl8wni6Y946K3z2zHpZB9GFImZ1JN1/73T7OlU7BvCphPjvK12AAVzpK1gF4y9CAD+RM/aajpGhf3aKIx5seZuBJqD4ZVa0szM9+BOnaud/+vRBQpF06nanauZfdTf4w9eL6GqofOqsGdmdpX7VzQB2anVZxy0BBrBb8qz7PwKFBnDCH1ptRG5Q0WR9+lBfMT4ANNnlSQZb369qb4HqfUeOysaVY6lnJ9u2Up5L+Oe9x4iJq+i+OtGVi0eG0k6MnQHshDJruCnAAHZTn7WPCxQawPk+dgSa5/jEe7Mqfl8Fy2Lp1Nec4r37gub6Z495u0T0eqjZPDY6cFc3YJ2qX6o6O/zzXusTcytULrDGRmPpwW+XqtbL+41f0NzgGffEFXJZeyb1punU7Q2E7wLwUHsmdfd02rMNBUotwAAutTD7P6VAMQL4RJG+pvD/sRa9AI4VcgjEKQf9Cg8kgwuaFONbROUiqzYWHR365nT6cbvNnYGFpx2TI6sUuBbQjZH04GfFoSsUr8E1niv8hz6uYldCsUdOr+uJPPbAsemYMICno8Y2TgowgJ3UZq1XFChmAJ8okPSH/wSCLSrygH1+ojt2aPiQU/zxYOhyY00Coo9PqF3eNTr0hFO1C6wjvYHwn0F0oyru9U3kNi15evhXBfY56ea9wdCVUOS/d/0DO+5dFXtm7+ikG7/CgwzgQvTY1gkBBrATyqxxUoFSBHC+YP7OW31+vAMii0Rly0OjDZ8qxZ23rzQ5BaQvOO8jCrMWKp+rR/3WRZn7DpfrVkg0hi4VY/I3JR3w5WzXjQcGf+bUWPvmtr7Oeu12UQRgbDRSpA/TMYCdWkHWma4AA3i6cmxXNIFSBfCJAfbNaQnkfLpFBG8xBrG2kdRw0QZ/io52n9N8Rs7nWaOC90NlXXsm9Xk49Dp3MnPcfc57Gyd8x7YI5GIjNtaWHhqaTLtiPLN9buvpdd7cTQA+oNZ0R0cHPldMGwZwMVaJfZRSgAFcSl32PSmBUgfwiUEkmq58u7GeuAoydTlv1+L9X398UgMswkO3zQ391oTH5M9onptTtHeMDnyvCN1Ou4vui66pazh0KCawi8XKtsb9s/Z8APfkpt3h1BpKb7Dlw4B2A/j8eNZsWXag//mpdXHqpxnApzbiE+4KMIDd9Wf1In0KegqQ0udv+XNrdINA//5Y1nNLKf7n/2rj6Q22hFS1R4BHvRN1q5c8ff/+KYy9KI/2BULvs8BWQPp93hnrb3zya2NF6XgSnSSD4XdYKwkxeMrmPMtiJfxLEAN4EgvCR1wVYAC7ys/ieYFkILxMIb/bnhn4uFMi+defM7y51Qr5kLGyvq3Irz9PNo8v4hpPpvHgIjFYpjB3HGpoiHfvu6fk9/T2ntf6ZuRs/ve8ObEai+wf3OeUd995LQHN6hYreIvHoV8DMICdWl3Wma4AA3i6cmxXNIFdwdDlORy/P/YxH8yKJQ6eaXx741UXjHuyO/IfALImF4uOPPhI0SZ2io5uO//qWRPZYxsAbbXAylhm8B9LUXtXMPSarMpGAeYJ7PJIZui+UtR5pT7z35F+7pgnBjE3qNqth0av+GQ3uh35jjQD2KlVZp3pCjCApyvHdkUV6Ea3meV/+GMQ22Ugn9ejvnjk4APPFbXISTrrawo3W4u4Kn7kmZBVbc8MZJyqnWwMXWQNEgIxHq+nfemTe39cjNrdaPbODng/AaBLgV1jmUyyG/tK/pP2ibGf+CqYFXP/0cO228lTwuKBlncZ6OcU2hPNDCaL4ck+KFBsAQZwsUXZX0ECPU3zZ3tsbhmgf2xhNsQyA/lPDTvy59eHQOgqqN5ZyCEQ0xlwMtC6UGFvBWTQI3b90vTgL6bTT77NrkBrS05tD0Qe0ay9KfrzwQPT7Wuq7RJNobcYPf5G46gbh6FAJ7Yq9A2iiEVGBx+a6vj5PAWcEmAAOyXNOlMS6G1qeT2s3QnILKMSa3PwU8PxhuYGc7qvG6oLRLEqMpr60pQGX8DD3bioblYgEBFgqQV2HMpk7+jGcHayXfY0zb/Qa3M7FZgtQCSSSX1/sm0Lfe7OwMI5R+XIzVC8B0aWtY8M3F9on5Nt/9dz3nXm83X1MYVcC9Ue/+jsv3bwU92THSafo8D/EmAAc0OUtcCuYEsop3anBb6Lce+6Qk9Hmspk+wLNb7Dw5k9mmmEM2ttGUv86lfaFPJs4NzRXvGYzVC/ziOlcmukfOFl/2+a868yZdTPXAvhjC10TzQx+oZD6U2l7Ay7xvcnfcKOIxCBIzEiP7XbyQoz8XckC6RbIV7LG3NoxsvfgVMbPZynglgAD2C151p20QP47q7OfHbtRVT8ByKfrMTPp5KlS8WD4alFsF8E3JjS7tisz/MykB1/gg7v88y/OSS5/tvUvcsbT1TGy97GXdpm/JnB2IHydQtcqcLc1h7d3jHz7SIFlJ9281x+6SoAdauRhyfnWRPY/8PSkGxf4YK+/9RJIrgeQ5xS5rmjmwf8ssEs2p4CjAgxgR7lZrBCBZOOCc3IyfpMIwga6yslP896JS3xHgw1tohIBtOffModu34NHJwqZz1Ta5n/KM5BNAL58ZPzIzSueefiXvYHwuwWIW+CnOZgVnQ5+ejx/J7FXZScEZwo87ZH03h9OZT6FPHv89K66Y91QuRwwXdFTvB0opBbbUqCUAgzgUuqy75IIvHjjUf7VsOYMOjocfDWc/0uANRP5V8PvBKQzOpraW5JJvkKnPU2Xz/Ta01Yq5C8U+FeBBgGJtmdS33JqDFtnhc+eWS/rILpQxKyOpPvvdap2fv4ee0YbYD8GMXtkpnf3dG9KcmrMrEOBkwkwgLk/KlYgEWj5Q6P2FoX0i/q2OPn6Mx5seZtR25t//QkjHe0jAz91CjL/06cPEoqkU7c7VTP/qrvBH75eRFdD5VNnzcju/Ojjw0edqp//NYCx2ArBg3U5s2nxgf6fO1WbdShQKgEGcKlk2a8jAvm7a4/iSP618HUwuH1sZPR2J7/rmgi2XCOqmwX6Tzhat9HJ7y47Agwg4Z/3HiMmrqL76kRXLh4ZSjtVu+f8+W/yZLNxATwTYjs60w869qrbqTmyTu0KMIBrd+2raubxOfP9pi67ETCXQtDZnh4YdGqC+dOenj3m7RLR66Fm89jowF3dgCOnPZVyjjv8817rE3MrVC6wxkZj6cFvl7LeS/s+/pUmPboKYq8ywE1tJTolzKn5sA4FXkmAAcx9UVUCifNCl0pOehQ4KEa6nHw1nAwuaMofAmGBN0JtLDo69M1KxM2/VTgmR1YpcC2gGyPpwc+KQ1coHv+wW2DWJwBdoorPTlhPr5OXZVTienHMlSvAAK7ctePITyLQGwjnw2OdEfMlj6duu5M3/vQGWt8JtQkR/Gxc7Yqu0aEnKmSxpDcQ/jOIblTFvb6J3KYlTw//yqmx9wZDV6pK/qao7xuPrGl7yrnjQJ2aI+tQ4KUCDGDuh6oVSM5ecJbWT3QA+JDCbD+U6b/bqVfDCkhfsOUj+e/nQuVz9ajf6uR3l6e6qInG0KViTP6mpAO+nO268cDgz6bax3SfT54777fVK9sBM1dNtsPJCzGmO2a2o0AxBBjAxVBkH2Ut0BsInw/INqj+thGJtWUGHnZqwLvPaT4j5/OsUZH3i8raSGbg7/Nfn3Kq/qnq5L9Tm/WN3wLgEiM21pYeGjpVm2L9+/gFzQ2eCc8yVfypMWZT28jA3xarb/ZDgUoQYABXwipxjEUR6PGHrvDK8d8P/yQLs9LJgyte+CnPsx3AXKhE2kf7Hy3KpKbZSf50sYZDh2ICu1isbGvcP2uPg2cnSzL/dkB1JaBfPHJEdjp5U9I0ydiMAkUXYAAXnZQdlrPACzcejX1MRTsB+bwc/WU8cvARx6497A22hPKXBQB41DuRXb3k6eH9Tnv1BULvs8BWQPp93hnrnfz9+PG7n63EVfCk2uzy2P7hx52eP+tRoFwEGMDlshIch6MC+WsPjc0uF8gfAbqhPTOYfzXsyJ8v4hpPpvHgIjFYBpjbxxoaEt377in5Pb2957W+GTmb/z1vTqzGIvsH9zkyYQDJYHOTWu8tInhT/uCSyMjAN5yqzToUKFcBBnC5rgzH5YjArmDod7IqOwU4G2piTr4avu38q2eNZ49tFGgLICvaM6mvlGLSu4Kh1+TUbAA0JLDLnTxDO/878GydJwaVP7eC3mfT2U9O5XrFUniwTwqUiwADuFxWguNwVSAZCIUBs0NFH7HHPN1OXnuYbAxdZA0SAkjO6412PLn3x8XA6Eazd3bA+wkAXQrsGstkkk6eEpZsbH2/GrtRgK8a0W1L04O/KMa82AcFqkWAAVwtK8l5FCyQvHDBDHtk4kZRLBLI3TNwsG9R5tHDBXc8yQ7yZ1sLdJsCqcOi3asLCKxdgdaWnNoeiDyiWXtT9OeDByY5jIIfSwbCv6eCuEIPe9TT0Zbp/4+CO2UHFKhCAQZwFS4qp1SYwPa5ref6PHqTqM5To6ui6cGvFtbj5FvnP50869BYBEAbILf6Mw13TOXTyT1N8y80Npd/pT5bgEgkk/r+5KsX9uTuc5obsz7vOijercAyJ2+KKmzkbE0BdwQYwO64s2oFCCSaQm+BRVwg1uP1RJcW6dXwZKb+YphthuJSEU9HJLM3dbJ22+a868yZdTPXAvhjC10TzQx+YTJ1ivFM/izs58a9SwH9uIj55Jm+id1O3pRUjDmwDwq4IcAAdkOdNStKoDcQ/qP8jUcW0m8cvvaw1996CeT4J5d/IVlfZ+TnD/zXS/Hy1wTODoSvy5+4pcDd1hze3jHy7SNOAff6Q1flf1KHyDc1a2928lW3U3NkHQqUSoABXCpZ9ltVAsevPdTD7RD5iEBvO5gZvcPJDzT1Blo/JLA3A/jykfEjN6945uFf9gbC+Ve9cUB+moOscPJgkbg//EaPIA7BjBwkFksP/KCqFpyToYADAgxgB5BZonoE+ua0BGwdNgJ6iRHT2Zbud+zoxp6my2d67WkrFfIXAvxQoecBEm3PpL7llPCOQPMcH7wrFLgairXR0dQ/OFWbdShQbQIM4GpbUc7HEYGepnmXea3JH2v5TM54ujpG9j7mSGEAicCVvwuYUDQzeJtTNfNfaXpNwHODBSKq8re+bDbh5E1JTs2TdSjgpAAD2Elt1qo6gbg/9OdGZC1EvuRz+NpDpzDjTeFmY9EDyI/qTO6mxSNDaadqsw4FqlmAAVzNq8u5OSKQv/bQ1o93CvBBgdx6MJP6tFPXHpZygn1zW19njd4K0SYRxCLp1HdKWY99U6DWBBjAtbbinG/JBHb45722Tsw2VXkdRGLtmf7/V7JiJew43tDc4Jnp7VTRayDY0p4e/EwJy7FrCtSsAAO4ZpeeEy+VQNIfukLFxAH9DxHfykj6gZFS1Sp2v4lg+C9FsRqCe+3z2R2xQ8OHil2D/VGAAi8IMIC5EyhQAoH8jUej/oPXQ6RDoH93+vjR+PXPPPzLEpQqSpfJYPgdUPSoImOtLo8dGPxZUTpmJxSgwKsKMIC5OShQQoH8tYdea5cr9I8U2u3kCVWTmVZP07yg18omhbzVGHS0jaSGJ9OOz1CAAoULMIALN2QPFDilQP6rQwLPTkDPhHo6nLz28JUGd/yaQK+3HYK/ALTvx5lDe/bg0YlTToQPUIACRRNgABeNkh1R4NQCiUBrC2B3GJFve8Z93Uuevn//qVsV94mkP/wnENwM6APjyG3tygw/U9wK7I0CFJiMAAN4Mkp8hgJFFMhfe6hHskug9gbA3JUzv+pz4vzmeLDlbQbaA8WEWI1F9g/uK+K02BUFKDBFAQbwFMH4OAWKJZC/9rDOY9dAcaUYrIykU18rVt8v7Sdxbmiu8coaVfw+PLKyfWTg/lLUYZ8UoMDUBBjAU/Pi0xQousDO4JVv9enxYy1zOa831lGkaw+7L2iub5jwLRHVvxLgr8+sy/bxmsCiLx87pMC0BRjA06ZjQwoUV6AvEHqfhWyGytfrpX7Losx90/7dbDLQ0qrQ7VD8P2+2boMbv2surg57o0D1CTCAq29NOaMKFtg+t/V0n8m1i+AvAdldnxm7Y9EUPp28I9D8Bp94dwpwes7ajtjo0L9UMAeHToGqFmAAV/XycnKVKtB3XktAc3qzAhdbsZ2x9NBJrz3cFQy9JqdmOaB/qCLroumBeyp17hw3BWpFgAFcKyvNeVakQLJp3mVqPXGF/txkfV2Rnz/wXy+dSP7Erf3BQx9XtTEIPnf02NHEijI+casiF4GDpkCJBBjAJYJltxQopkDCH/qwCNaI4B+8nvodNz75tbGEf957ICYuovsEdasq6czpYtqwLwpUqgADuFJXjuOuOYGts8JnnzZTOxT4IET+C1Zekz9rulJvXaq5BeSEKfAyAQYwtwQFKkwg7g+/0UBbI6ODSQG0wobP4VKAAi8KMIC5FShAAQpQgAIuCDCAXUBnSQpQgAIUoAADmHuAAhSgAAUo4IIAA9gFdJakAAUoQAEKMIC5ByhAAQpQgAIuCDCAXUBnSQpQgAIUoAADmHuAAhSgAAUo4IIAA9gFdJakAAUoQAEKMIC5ByhAAQpQgAIuCDCAXUBnSQpQgAIUoAADmHuAAhSgAAUo4IIAA9gFdJakAAUoQAEKMIC5ByhAAQpQgAIuCDCAXUBnSQpQgAIUoAADmHuAAhSgAAUo4IIAA9gFdJakAAUoQAEKMIC5ByhAAQpQgAIuCDCAXUBnSQpQgAIUoAADmHuAAhSgAAUo4IIAA9gFdJakAAUoQAEKMIC5ByhAAQpQgAIuCDCAXUBnSQpQgAIUoAADmHuAAhSgAAUo4IIAA9gFdJakAAUoQAEKMIC5ByhAAQpQgAIuCDCAXUBnSQpQgAIUoAADmHuAAhSgAAUo4IIAA9gFdJakAAUoQAEKMIC5ByhAAQpQgAIuCDCAXUBnSQpQgAIUoAADmHuAAhSgAAUo4IIAA9gFdJakAAUoQAEKMIC5ByhAAQpQgAIuCDCAXUBnSQpQgAIUoAADmHuAAhSgAAUo4IIAA9gFdJakAAUoQAEKMIC5ByhAAQpQgAIuCDCAXUBnSQpQgAIUoAADmHuAAhSgAAUo4IIAA9gFdJakAAUoQAEKMIC5ByhAAQpQgAIuCDCAXUBnSQpQgAIUoAADmHuAAhSgAAUo4IIAA9gFdJakAAUoQAEKMIC5ByhAAccrjCgAAAJKSURBVApQgAIuCDCAXUBnSQpQgAIUoAADmHuAAhSgAAUo4IIAA9gFdJakAAUoQAEKMIC5ByhAAQpQgAIuCDCAXUBnSQpQgAIUoAADmHuAAhSgAAUo4IIAA9gFdJakAAUoQAEKMIC5ByhAAQpQgAIuCDCAXUBnSQpQgAIUoAADmHuAAhSgAAUo4IIAA9gFdJakAAUoQAEKMIC5ByhAAQpQgAIuCDCAXUBnSQpQgAIUoAADmHuAAhSgAAUo4IIAA9gFdJakAAUoQAEKMIC5ByhAAQpQgAIuCDCAXUBnSQpQgAIUoAADmHuAAhSgAAUo4IIAA9gFdJakAAUoQAEKMIC5ByhAAQpQgAIuCDCAXUBnSQpQgAIUoAADmHuAAhSgAAUo4IIAA9gFdJakAAUoQAEKMIC5ByhAAQpQgAIuCDCAXUBnSQpQgAIUoAADmHuAAhSgAAUo4IIAA9gFdJakAAUoQAEKMIC5ByhAAQpQgAIuCDCAXUBnSQpQgAIUoAADmHuAAhSgAAUo4IIAA9gFdJakAAUoQAEKMIC5ByhAAQpQgAIuCDCAXUBnSQpQgAIUoAADmHuAAhSgAAUo4IIAA9gFdJakAAUoQAEKMIC5ByhAAQpQgAIuCDCAXUBnSQpQgAIUoAADmHuAAhSgAAUo4IIAA9gFdJakAAUoQAEKMIC5ByhAAQpQgAIuCDCAXUBnSQpQgAIUoAADmHuAAhSgAAUo4IIAA9gFdJakAAUoQAEKMIC5ByhAAQpQgAIuCDCAXUBnSQpQgAIUoMD/B6VJSzpk91q9AAAAAElFTkSuQmCCdurationname
duration
length
number of channels
sample rate
samplessamplessoundvar base64, binaryString, len, bytes, i,
arrayBuffer, audioCtx;
if (sound.audioBuffer) {
return;
}
base64 = sound.audio.src.split(',')[1];
binaryString = window.atob(base64);
len = binaryString.length;
bytes = new Uint8Array(len);
for (i = 0; i < len; i += 1) {
bytes[i] = binaryString.charCodeAt(i);
}
arrayBuffer = bytes.buffer;
Note.prototype.setupContext();
audioCtx = Note.prototype.audioContext;
audioCtx.decodeAudioData(arrayBuffer, function(buffer) {
sound.audioBuffer = buffer;
});soundreturn !isNil(sound.audioBuffer);soundchoiceswitch (choice) {
case 'sample rate':
return sound.audioBuffer.sampleRate;
case 'duration':
return sound.audioBuffer.duration;
case 'length':
return sound.audioBuffer.length;
case 'number of channels':
return sound.audioBuffer.numberOfChannels;
default:
return sound.audioBuffer;
}play back a sound, a list of samples (single channel), or a list of lists (multiple channels) at the given sample rate.
for demo purposes this block also fast-plots the samples on the stage4410022.05 kHz=22050
44.1 kHz=44100
88.2 kHz=88200
96 kHz=96000samplesratevar audioCtx, channels, frameCount, arrayBuffer, i, source;
Note.prototype.setupContext();
audioCtx = Note.prototype.audioContext;
channels = (samples.at(1) instanceof List) ? samples.length() : 1;
frameCount = (channels === 1) ? samples.length() : samples.at(1).length();
arrayBuffer = audioCtx.createBuffer(channels, frameCount, rate);
if (!arrayBuffer.copyToChannel) {
arrayBuffer.copyToChannel = function (src, channel) {
var buffer = this.getChannelData(channel);
for (i = 0; i < src.length; i += 1) {
buffer[i] = src[i];
}
}
}
if (channels === 1) {
arrayBuffer.copyToChannel(Float32Array.from(samples.asArray()), 0, 0);
} else {
for (i = 0; i < channels; i += 1) {
arrayBuffer.copyToChannel(Float32Array.from(samples.at(i + 1).asArray()), i, 0);
}
}
source = audioCtx.createBufferSource();
source.buffer = arrayBuffer;
source.connect(audioCtx.destination);
source.start();
source.pause = source.stop;
this.parentThatIsA(StageMorph).activeSounds.push(source);generate a list of samples representing a sine wave at the given frequency, duration and sample rate440a 55=55
a 110=110
a 220=220
a 440=440
a 880=880
a 1760=1760
a 3520=352014410022.05 kHz=22050
44.1 kHz=44100
88.2 kHz=88200
96 kHz=960000.51quickly plot the samples of a sound, a list of samples (single channel), or a list of lists (multiple channels) to the stage at a lower resolution.1offset-2records an audio snippet and reports it as a new sound, or zero if the user cancelsca:volum del so
es:volumen del sonido
return typeof meter != 'undefined'return Math.floor(meter.volume * 100);xx
y
z1yawyaw
pitch
roll1xx
y
z111testtestvar leapScript,
done = false;
leapScript = document.createElement('script'),
leapScript.onload = function () {
done = true;
console.log('leap is ready');
};
document.head.appendChild(leapScript);
leapScript.src = 'https://js.leapmotion.com/leap-0.6.4.min.js';
return function () {return done; }window.controller = new Leap.Controller({enableGestures: true, background: true}); window.controller.connect();LABEL will stamp text on the stage at the given font size. The direction of the text is the direction the sprite is facing, and color will match the pen color.de:drucke _ in Größe _
ca:etiqueta _ de mida _
es:etiqueta _ de tamaño _
fr:étiquette _ d'une taille de _
Hello!12de:ist _ leer?
ca:_ buida?
es:_ vacía?
fr:_ vide?
de:behalte Elemente, die _ aus _
ca:manté els elements on _ de _
es:mantener los elementos donde _ de _
fr:garder les items tels que _ de _
1de:kombiniere mit _ die Elemente von _
ca:combina amb _ els elements de _
es:combinar con _ los elementos de _
fr:combine avec _ les items de _
1de:wenn _ dann _ sonst _
ca:si _ llavors _ si no _
es:si _ entonces _ sino _
fr:si _ alors _ sinon _
de:für _ = _ bis _ _
ca:per _ = _ fins _ _
es:para _ = _ hasta _ _
fr:pour _ allant de _ à _ _
110ide:füge Wörter zusammen _
ca:uneix les paraules _
es:unir las palabras _
fr:fusionne les mots _
121de:Liste $arrowRight Satz _
ca:llista $arrowRight frase _
es:lista $arrowRight frase _
fr:liste $arrowRight phrase _
de:Satz $arrowRight Liste _
ca:frase $arrowRight llista _
es:frase $arrowRight lista _
fr:phrase $arrowRight liste _
de:fange _ _
ca:agafa _ _
es:atrapar _ _
fr:attrape _ _
cont3de:wirf _
ca:llança _
es:lanzar _
fr:lance _
catchtagde:fange _ _
ca:agafa _ _
es:atrapar _ _
fr:attrape _ _
contde:wirf _ _
ca:llança _ _
es:lanzar _ _
fr:lance _ _
catchtagde:für jedes _ von _ _
ca:per cada _ de _ _
es:para cada _ de _ _
fr:pour chaque _ de _ _
de:falls _ dann _ und pause $pause-1-255-220-0
ca:si _ fes _ i atura-ho tot $pause-1-255-220-0
es:si _ haz _ y páralo todo $pause-1-255-220-0
fr:si _ faire _ et mettre tout en pause $pause-1-255-220-0
de:Wort $arrowRight Liste _
ca:paraula $arrowRight llista _
es:palabra $arrowRight lista _
fr:mot $arrowRight liste _
de:ignoriere _
ca:ignora _
es:ignorar _
fr:ignore _
de:Liste $arrowRight Wort _
ca:llista $arrowRight paraula _
es:lista $arrowRight palabra _
fr:liste $arrowRight mot _
de:Zahlen von _ bis _
ca:nombres des de _ a _
es:números de _ a _
fr:nombres de _ à _
1101de:wende _ an auf _
ca:mapeja _ sobre _
es:mapear _ sobre _
fr:appliquer _ à _
135