{"id":3509,"artifact_id":269,"version":1,"data":{"version":1,"artifact":{"chain":"tezos","title":"XTZ to USD","artist":"tz1d6xBfTMmkCA6iaqiqPSfMKjk5dM9e5PXA","tokenId":"9614","description":"Widget price XTZ to USD","contractAddress":"KT1RJ6PbjHpwc3M5rw5s2Nbmefwbuwbdxton"},"snapshot":{"net":[{"data":{"url":"https://ipfs.arkivo.art/ipfs/QmQfryGUG4DYUETn78KsBq984zE2so6dinHbMYGgfhSUxT?creator=tz1d6xBfTMmkCA6iaqiqPSfMKjk5dM9e5PXA&viewer=&objkt=9614","host":"ipfs.arkivo.art","path":"/ipfs/QmQfryGUG4DYUETn78KsBq984zE2so6dinHbMYGgfhSUxT","type":"http","query":"?creator=tz1d6xBfTMmkCA6iaqiqPSfMKjk5dM9e5PXA&viewer=&objkt=9614","method":"GET","headers":{"sec-ch-ua":"\"HeadlessChrome\";v=\"119\", \"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"","user-agent":"Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) HeadlessChrome/119.0.6045.9 Safari/537.36","sec-ch-ua-mobile":"?0","sec-ch-ua-platform":"\"Linux\"","upgrade-insecure-requests":"1"},"fragment":"","postData":null,"protocol":"https:"},"type":1,"external":false,"timestamp":1723853247330},{"data":{"url":"https://ipfs.arkivo.art/ipfs/QmQfryGUG4DYUETn78KsBq984zE2so6dinHbMYGgfhSUxT?creator=tz1d6xBfTMmkCA6iaqiqPSfMKjk5dM9e5PXA&viewer=&objkt=9614","body":"","status":200,"headers":{"date":"Sat, 17 Aug 2024 00:07:27 GMT","etag":"\"QmQfryGUG4DYUETn78KsBq984zE2so6dinHbMYGgfhSUxT\"","server":"nginx/1.27.0","connection":"keep-alive","x-ipfs-path":"/ipfs/QmQfryGUG4DYUETn78KsBq984zE2so6dinHbMYGgfhSUxT","content-type":"image/svg+xml","x-ipfs-roots":"QmQfryGUG4DYUETn78KsBq984zE2so6dinHbMYGgfhSUxT","accept-ranges":"bytes","cache-control":"public, max-age=29030400, immutable","content-length":"657321","access-control-allow-origin":"*","access-control-allow-headers":"Content-Type\nRange\nUser-Agent\nX-Requested-With","access-control-allow-methods":"GET\nHEAD\nOPTIONS","access-control-expose-headers":"Content-Length\nContent-Range\nX-Chunked-Output\nX-Ipfs-Path\nX-Ipfs-Roots\nX-Stream-Output"}},"type":2,"external":false,"timestamp":1723853247408},{"data":{"url":"https://api.cryptonator.com/api/ticker/xtz-usd","host":"api.cryptonator.com","path":"/api/ticker/xtz-usd","type":"http","query":"","method":"GET","headers":{"referer":"https://ipfs.arkivo.art/","sec-ch-ua":"\"HeadlessChrome\";v=\"119\", \"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"","user-agent":"Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) HeadlessChrome/119.0.6045.9 Safari/537.36","sec-ch-ua-mobile":"?0","sec-ch-ua-platform":"\"Linux\""},"fragment":"","postData":null,"protocol":"https:"},"type":1,"external":true,"timestamp":1723853248165}],"browser":{"name":"chromium","version":"119.0.6045.9"},"viewport":{"width":2000,"height":2000},"screenshot":"iVBORw0KGgoAAAANSUhEUgAAB9AAAAfQCAYAAACaOMR5AAAAAXNSR0IArs4c6QAAIABJREFUeJzs3XeUVPX9//HX9LadXWmCShVBBQVFECyABTAmKjYSo1FTNJp8k5hvjH7TND/TvunfGFssUWOJHUUFG6hIUYr0Jh0WFrbMTi/398cGYfbe2QIz23g+zuEcvffunTv3fmb2nH193u+PzTAMQwAAAAAAAAAAAAAAHOHs7X0BAAAAAAAAAAAAAAB0BAToAAAAAAAAAAAAAACIAB0AAAAAAAAAAAAAAEkE6AAAAAAAAAAAAAAASCJABwAAAAAAAAAAAABAEgE6AAAAAAAAAAAAAACSCNABAAAAAAAAAAAAAJBEgA4AAAAAAAAAAAAAgCQCdAAAAAAAAAAAAAAAJBGgAwAAAAAAAAAAAAAgiQAdAAAAAAAAAAAAAABJBOgAAAAAAAAAAAAAAEgiQAcAAAAAAAAAAAAAQJLkbO8LQP788plavbU02qJjp58d0PWTCnLyuhPvrFTayN/5rbz+SUS/ea7OtP3pH1aooph5IgAAAAAAAAAAAACaR7IIAAAAAAAAAAAAAIAI0AEAAAAAAAAAAAAAkJTHFu4X/WK3QjGj+QOb4HXZ9NrPjsrRFR15endzaMjRLtP2VdsS7XA1R45ZS6K659narPv9HpsKfTYV++0a1NulYce4NWqgW6UFHXs+yy337dOKLQ1jp0+5Q4/+V3k7XxEAAAAAAAAAAACQW6yB3oVdO6FA104wb7daozyXnvhBhQwj8wUKfB07HG5L4ZihcMxQZU1aa3ckNWNhRC6HNHG4T9PPDqhXmaO9L9Fkd2368/AcAAAAAAAAAAAA6KoI0JFz3UsIy1srkZJmfhzRu59G9d+XFWv8UE97X1KGt5dF2vsSAAAAAAAAAAAAgLwj6QQ6kEjc0M+erNFrizpWYP3Osmh7XwIAAAAAAAAAAACQd3mrQP/SGX7FkuY+4a8tiigUzdzuddt00Wk+07Fuhy1flwe0uVP6u9W/h1P1UUO7qlNasSWueNL62D+9XKcBPV0a1Lv9m0Rs35vSuh1ZLhQAAAAAAAAAAADoQvKWzn1tUoHl9g9WxhSKpjK2FXht+taFhS0+99yVMf30iZqMbSUBu57/ccXn//9ZZVIvzAtryca4KmtTcthsqii2a9Qgjy4b41ePUvM606u2JXTzvftM2y8Z49e3p7Ts+n73Qp1l9fC/bqvI2trcMKQln8U1Z3lUq7YltLsmrfpoWg67VOiz67juTp06wKMLTvWpyNdxJhX88plavbW0ZZXJ088O6PosY6I5H62J6bVFEa3bkdC+YFpFfrv6HuXUpOFeTTjJJ1f7Z8wtMn6YV184aKJILCG9+FFYD88OmoL0REr6w0u1uvembs2eNx/j58v/W6Ud+1JZ92+tSuncOyqz7r99WrEmDfe26LUkqT5q6K0lES3dlNDa7QnVhtKKJQ2VBOyqKHbo9EEenXOSV33KO9768AAAAAAAAAAAAOg6Okn0mMnvNoeA9dH05//9+LshPTK7XumDCt0TMrS1KqWtVWHNWBDWHZeXaFyjdaaHHO1Sn3KHtlZlBodzV0R18+RC2ZrJHlNp6f2V5kB5RH931vD8s8qkfv1crdZuN1f4JlNSLJFWVV1cC9fF9cjset08tVBTRpqr9buicMzQb56r1ZwVsYzte4Np7Q3GtXhDXE/PCemer5bK3tzD6YA8LumKcX4N7u3UbQ9XK5XO3L9me1Kfbk7oxGNcWc/R2cdPIik9PLteL3wUUixh3l9Vl1ZVXVqrtib06Nv1+uJov244r0A+i+8AAAAAAAAAAAAA4HB1yjXQ3S5zeNYQFkpPzw3rH7Myw/PG4knprqdrtHGXOXScMNwcLu6pTWv1dot0r5HFG+KqC5tf+PwR1oHl6m0J3XLfPsvw00o0Yeh/X6jT8x+GW3R8Z5ZOS794qsYUnje2eU9K//1IteIWywV0FsP7uXXFuIDlvhkLsj/rzj5+akJp3XTvXj011zo8b8wwpBfmhfX9h6oVjnXe5w0AAAAAAAAAAICOq1MG6M4sV71yS1wPvhls0TmSKemBN+tN27O1nZ7bTJArSe8uN1efe902jW9U6S41hP13P11rGQQeU+HQWcM8GtLHuvL4bzODTbbXbiu9yhwa1Mtp+pcLL84Pa8HauOW+Ir9Nw/q6VF7UMBC2VqX0/LyOEQofqkvO8MtuUVS9bJP1Pcj3+Dmu+4HnWew3X5jLKctnv/9fkb/pr5ZYQrrjsRptsJjE0rPUockjfbp0jF+nDnCbOj+s3pbQT5+sMf0cAAAAAAAAAAAAcLg6ZQt3u1XSKOnemUGl0lJpgV3TzvRrcG+XwjFDMxdF9OFqcwC+cF1MtWEjIyDsWerQsL4uLd+SWRI7Z3lUXz8/+xre2dq3nzXMK69Fu+nZSyOWIeaV4wO68byCz0NDq/Xe02np+Q/D+vbUlq8bnw/XTSzQdRPN92TinZVNdgBoTjwpPfFuyHLf1WcFdO2EAjkdDRXJry6K6I8v1WlTZcuqsDuqskK7TuhjHneVNQ0tzPdPFtgv3+Pnri+XfP7fv3+xTjMWRjL29yhx6O83N78+ezZPzQ1p1TZz2fmN5xfoinGBjMkE63cmdcc/q7Wn9kCP+4/XxzVrSbRV66wDAAAAAAAAAAAAzemUFejZrN+ZVJ9yhx66tZuuHBfQiH5ujR3i0d1fKdGogW7T8em0tGqrucJ3kkXL9R37UpYt3/fL3r7dOuB7Z5k5bA94bLpuYkFGxe24Ezwa1tdcSfzx+uYr4jurRetiqq5Pm7aPHuzRDec1hOeSZLNJU0f5dM252Sc2dCb9e1rPZ9laZR53nXn81IYNPTPXPEFi6iifrhofMFXiD+jp1F3TS02V6I++Ze4gAQAAAAAAAAAAAByOTlmB3pQfTStWScA8L+DSMQEtXGcOyzfvTmn04MxtZ5/o1V9m1CnZqMB3zoqo+vWwDmut2rd3L7Hr5OPMwb0kndLfbWqxXVHskMthPvak49ymyuTtHaCFe77Ms+gWIDVUV1u5fJxfT80JKZro3Oti9yyz/jjWR8zvqy3Hj5Hj2/rByqgicfNJrz7L+vlK0qDeTo0e7MkYGzv2pbR8S8JyggAAAAAAAAAAAABwKLpUgD6sr0tDjrYO04ZmCdnqo+ZK50KfTaMHe/T+yswgd86KmK6dYA7Qs7VvP2+Ez1Q1u19TYWFjVhMCkikpGjcs28N3dut2mlt7+9y2rEGp12XTqIFuzV3Zuavy/R7rZ2k1Rtty/OR6WsLCdebn1L3EoR6lFun/QU4b6DZNrpi/OkaADgAAAAAAAAAAgJzpUgH6yEGerPsCXpu8LpupSjlqUQkrSZOG+0wB+qbKpLbtTenobplBX7b27edZtIJvTiwhxRJGRmiZSFlfY9Kcq3YJW3abq6P7Vjhkb2LBgUFHuzp9gO5yWIfZ8VZU1udj/OS6An3dDqulEAz9+4Nwkz+3abf559buME+2AAAAAAAAAAAAAA5VlwrQ+5Y3XcHqcUnRRnlbtmxw9PEeFXhtqo9mHjFnedRU/WvVvn1YX5d6d2v6eiRpw66k3lwc0eINcW3ek1Qi+zLrR4R4Upat2CuKm76XFUXN3+uOLhK3TrT93uwzBzrj+KkJmd9nZU1af3st2OpzfVbZCd4wAAAAAAAAAAAAOo0uFaD7PE2UKEuy221qaUNql6NhLfQZCyMZ2+euyAzQs7ZvP6Xp6vNUWvrLK3V6ZWEk5xW+nVk4Zh0ie1xNtxr3ZWl/3pmEotYDocBrfm+ddfyk0lI4lrsLDka6aBsGAAAAAAAAAAAAtIumE+dOJtcR6iSLFuxrtidVWXMgtLNq3+52Suec6G3y3L9+rlYvL+hc4WdHlsrSprwz2VplXU1ttYZ5W46fXL5Grj+jsURDKA8AAAAAAAAAAADkQpeqQM+1YX1d6lHq0K7qzDW5318Z1aVj/JKk9yzat595glcBi6rh/RZviGv2EvPP9Sh16CvnBDRygEfFAbvc/3k6L8wL6y8zWt/eujPyZ+kikG2t+v0izezvDNbvNAfodrvUr4crY1tnHj92uxTw2kzV9sP7ufX760vb6aoAAAAAAAAAAACABl2qAj3XbDZp4snmSvJ5q2OSpLQhfbAqZtp/fjPt299YHLHc/quvlurCU32qKD4QfkpSLNn5w+GWcjslr9s8+WBPXcri6AO2VTW9v6OrrElr4y5zgN6vu1OezPy8zcdPrkdfWYH5a2dfsHM/PwAAAAAAAAAAAHQNBOjNsGrj/ummuKIJQyu3JlQTyuwf3a3QrlP7u5s857od5qC0V5lDfSsclsdv3n1khYvHHWVujLBld6rJVt2rtiXyeEX59+wHIcvtIwd4TNvaevwYOe4TP7Sv+fOxrSqVdQ14AAAAAAAAAAAAoK0QoDejT7lDg3tnBrqJlLTss4TmrzFXn08a7pO9mbtaGzYnwS7r7FPRuKEPVprbdUsNFfBd0aDe5gA9mjC09LO45fF7atNZ93UGyzcn9PL8sOW+qaeZJ3C09fhxOcwdAeKHUdU+wmKCSdqQ3lpmfZ377apOacOupPYF00qz7jkAAAAAAAAAAADygAC9Bayq0BdvjGnhOnOAft4p5pbvjXld5kByV01K0URmKJlOS396Jaj6LJW59ZGumSKOGWJ9Dx9/NySrYui/vx603N7RGYb01tKobn+sWkmLIvHTB3vUq8ycjLf1+Al4za+3N5g+5HXnxw31qMhvPudjb9erut76mtJp6Y5/1ujGv+zVZb/ao0k/qdQXf7lb/5pjXbkPAAAAAAAAAAAAHApzqW+O/GNWveXay1bVs/VRQ/fODJq2ux02XX9eQV6urzXOPcmrv70WzKh6nbsipp3VmannoN5OHWvRfryxPhVO7diX+bOxhPR/M4K6eUqhvG6bNu9J6S+v1OmTDQ2V1V63TdFGgeUnG+LqVdb0euud0Yh+bpUX2VVVlzlWlmyM63cv1OlbkwtV4LUpFDP04BtBvdNM5XJHMWd5VNv3JpVKS9X1aX26KW56j/v53DZ956JCy31tPX7693SZtiVT0u9frNN/XVwkvyczDI8lpC17kupZ5lCBRfjuddk0bWxAD82qz9i+L5jWdx/Yp9suLdawvgdec/OelP46o06fVR5oXW8YUjwhTTi5641/AAAAAAAAAAAAtJ+8BegvzAsrFGtZhWo0bujZ980trL2ujhGglwTsGjXQk9GyvXGAKUnnW1SqWxk7xGPZ/v3VRRG99nFELocUP2iZ63NP8irgtemVBZGM4/86o04fr284z/9cWSL7f7LKe2cGtXRj9pbmVq27Z34c0cK15muSpOlnF2jc0ANrcef7/E6H9JVzCvSHl+oszzNrSUTdCh3aF0wp8Z/HMHaIRx+sMp+/I7W5/2RD/PNAuyk2m/Tdi4vUo9S6L3u+x09jp/Z3y+3MPKfUUD0/Z3lUfSqc8jhtCsXSCkUN7Q02TAr46zfLdEIfc/guSVeOD2j+mpiWb8lcu35rVUq33rdP5UV2dSu0qyaUVmWN9SSDWy4q1FHFNNEAAAAAAAAAAABA7uQtQO9qJg33WoaW+zkdLa+GPf8Un/79QUhb9phDeMPIDCp7ljp060VF+nh9zBSAxpPSe8sbrulOQ9J/AtDte1Nau6NR2tmMfcG09gWtg8rqUOb2fJ9fkqaM8umjNTHNW22+58mUVFlz4N6NGujWlFE+ywD9cNbqbg8Ou3T7tGKde1L2pQDyPX4aKyu068pxAT32jrldeiIlbdzVurEgNbzPn11doh8/Vm05lqrq0lmr8yXpmxcW6sJTqT4HAAAAAAAAAABAblG+2UJjh3hNraoPNnqw9brOVlwO6f9dU6q+FdYVxvsd192pP329TEV+m8460auBvY6c+Q52m3TnFcUaf1BlupXh/dz6yVUlKvZbD+XGbcs7slED3brv5m5NhudS+4yfayYU6OLR/kP+eStlhXb9+RvddOkYv1wtvLRjuzv1hxvLdPmZub0WAAAAAAAAAAAAQKICvcU8Lmn8UK9e/yRiuf/8U1pXDdurzKH7v12umYvCmrMipg27EqqPGvK5bDquh1NTR/k14WSvHP/Jhe026Z5rSnX/G0EtXBdXbSgtr9umYyqcGjXInbX9dmfmc9v0s6tL9MGqmGYsjGjDzoRqQ2mVFdp1XHeXLhzp09ghHtltUnmRdZgc6aABus9tU0nArqNKHDp1gFujB3s0oGfLP45tPX7sNuk7FxVqykifXv84ok83x7VzX0rhuKH0fwrFvS6bigN29a1wqF8Pp3pmaUF/MLdTunlKoa4aH9Bby6JasjGuzyqTqg2lFU8aKvDaVFHs0NBj3DpziEenDnC3+B4BAAAAAAAAAAAArWUzDKNjJowAAAAAAAAAAAAAALQhWrgDAAAAAAAAAAAAACACdAAAAAAAAAAAAAAAJBGgAwAAAAAAAAAAAAAgiQAdAAAAAAAAAAAAAABJBOgAAAAAAAAAAAAAAEgiQAcAAAAAAAAAAAAAQBIBOgAAAAAAAAAAAAAAkgjQAQAAAAAAAAAAAACQRIAOAAAAAAAAAAAAAIAkAnQAAAAAAAAAAAAAACQRoAMAAAAAAAAAAAAAIIkAHQAAAAAAAAAAAAAASQToAAAAAAAAAAAAAABIkpztfQEAAHR2W6tSWrs9odpwWqGoIbtd8jhtKg7YVVZgV/dSh3qWOuRg2hoAAAAAAAAAAB0aAXoXtWpbQvfPDGZss9tt+t/rS9vpitrHY++E9Mjs+s//v9hv0xM/qJDfY2vHqwLQlNc/ieg3z9WZtj/9wwpVFHecBDqVll5ZENbTc0OqrEk3e3xpgV3P3V7RqteYeGel0kbmtulnB3T9pIJWnedI0lnGDwAAAAAAAACgYyJA76KCYUNLNyUyttmPsMy4LmzombmhjG1fPqeA8BzAYQtFDf3PEzVasjHe4p9JpYzmDwIAAAAAAAAAAO2KUix0WY+/W69w7EBg1b3Eri+c7m/HKwLQVfzmudpWhecAAAAAAAAAAKBzyGkFejwpXf/nKm3fm8rYbrNJ997UTYN6Nf1ym/ekdMOfq5Rq1Am3T7lDD95SLpdTuvEve7VhVzKXl63+PZx64JZuGdty9Tq3TC3Ul84gtG1rlTVpvfRROGPbdRML5XKYj/3nOyE9fFCb9/1+9dVSnTbIbXn+BWvj+tGj1abt100s0FfOCTR5bfGktHBdTPPXxLRhZ1I7q1MKRdMyJPk9NlUUOXRcD6dGDvDozBM8zVbMz1oS1T3P1mbd7/fYVOizqdhv16DeLg07xq1RA90qLWD+DHAo1u1Iau7KmOW+sUM8Gt7PrQKvXfGkoWjCUCRmqKoupViCCnQAAAAAAAAAADq6nAbobqf0/S8W6XsPZQaLhiH96eU6/fUbZbI1kQX++ZU6U3hus0m3XVosF83m0QoPzw4qcdA8jmO7OzVxuLf9LkgN6yU/92FYT75Xr7qwdZBWFzZUF05qw66kZi+JKuCx6cvnFGjamf5DbsEfjhkKxwxV1qS1dkdSMxZG5HJIE4f7NP3sgHqVWcwqAJDVh6utw/Pvf6lIU0b6cvpaT/ygQoaR+X1R4GPyCwAAAAAAAAAA+ZLzv8IP7+fWZIsAYdXWhF7/JJL15979NKrFG8ztcL90hl/D+rpyeo3o2jZVJjVrSTRj2w2TCtp1DfhgxNBtD1fr7zODWcNzK6GYofteD+rnT9YomWr++JZKpKSZH0d041/2as4K6zCwK0ilpbkrYjm9d8Dm3ebuJMV+myafmtvwXGpYeqJHqSPjX4G3Hb/MAAAAAAAAAADo4vJS1/3NCwv10ZqY9gUzy8nvfz2ocUO9pj/+RxOG7p0ZNJ2nR6lDN0wqyMcldlmPvRNSNG5oV7U5MUwb0v1vmFuVt4bbIV07sWM/kwferNfBBZtD+7o0Zoin3a7HMKS7n645rPWS566M6aFZQX3jgsIcXpkUiRv62ZM1+sGXiiwnvnR2qbT00ydrVBKw67wRXk0Z5VefcirucXjCsbRpW49SR5MdVgAAAAAAAAAAQOeQlwC9wGvTrRcV6WdP1mRsrw0b+seset16UWYI+Pg7Ie2pNQcSt32pSF53ZiJx3ik+VdVlLyd9dWFE4Vhmha/XbdNFp2UPB8uLzIHauKFeDerdsrLVXTUpy+p5t1M6ZUDbBrfPfxBSXSR7hfNTc0KHdX6vy9ahA/TlmxOa16i98g3n5zZ0bq25K2NauM56fEw9za+RA9wqK3QoFE1ry56Unv8wpK1V5rH3zPthTR3lV+9uLQuAT+nvVv8eTtVHGyZUrNgSV9xcOCupYYmFAT1dGtS7a66VUBNK65n3w3rm/bCG9XVp8iifzj7RK6+LxBOtl7b4imUsAQAAAAAAAADQNeQtLRs/1KMzT/Do/ZWZYebL88OaMtKn/j0bXnrb3pSefd8c6k4d5dOI/m7T9mlj/U2+7pzlUVOAXuC16VsXti5EvebcQIuOS6Skb/99r+W+b00u0jEVVLu2pfvfyOxkcPogt04+tn2XAHhtUdi0zWGX/vT1bhrcKLAe0U+6aJRPdzxeo/lrMj87hiG98FFY357SsrE8fphXXzho4kgsIb34UVgPzw6agvRESvrDS7W696ZuLXxXndfyLQkt35LQX2cEde5JXk0e6dPxR3fcZSJmLYnqnmdrTduf/EG5epRaf788+V5ID75p7jYx667ucjRauGPuyph++kTmZKeSgF3P/7ji8///rDKpF+aFtWRjXJW1KTlsNlUU2zVqkEeXjfFnvQ4rH62J6bVFEa3bkdC+YFpFfrv6HuXUpOFeTTjJJ1cOfivVRw29tSSipZsSWrs9odpQWrGkoZKAXRXFDp0+yKNzTvK2qBvBDx+p1iKLCTCNLd2U0Ll3VDZ5zHcvLsr4TB7sl8/U6q2lUct9jU0/O6DrW9idpa2fr5Tb+99YW4wfAAAAAAAAAMCRLa9/ar71oiIt3lCl0EGBdtpoqHb98zfKJEl/nVGnRKNi2/Iiu77RysC7vTz4RlDrdpjLes843qOLT+96LbE7sg9Xx7R8cyJj2w3ntf84sloveWhflyk8389ul+64vFjTfrVbscy3o49Wx1ocoDfmcUlXjPNrcG+nbnu4WqlGTR/WbE/q080JnXhMxw2TcykcMzRjYUQzFkbUr4dTk0f6NHG4T0W+I6uS2O82v9/66IHB8fi7IT0yuz6j6johQ1urUtpaFdaMBWHdcXmJxg1tuttGOGboN8/Vas6KzIkhe4Np7Q3GtXhDXE/PCemer5bKfoi90BNJ6eHZ9Xrho5DpsyNJVXVpVdWltWprQo++Xa8vjvbrhvMK5LO4B11FWz1fKb/3vy3GDwAAAAAAAAAAkmRv/pBDV15k19ct1mxeviWhNxdH9cGqmBasNVf2ff+LRQp4Ov4fwBeti+vZD8zVxaUFdv3w0uJ2uCKpyG9Xkc8mf57uX0fNJdKGTBW3E072ft7poD3Vhc39ngPepj96BV6brp1QqItP9+m6iQW67ZIi/eqrpfrF9JLDvp7h/dy6Ypx1h4UZC8zjuTNzO6U/3FCmCSd75Wqi2HXjrqT+OiOoaffs1t1P12rxhriM7CshdClui9bjyVRDx4Kn54b1j1n1li3L94snpbuertHGXVnWB5CUTku/eKrGFH42tnlPSv/9SLXiydbf/JpQWjfdu1dPzbUObxszDOmFeWF9/6FqU9eSrqQtnq+U3/vfFuMHAAAAAAAAAID98p4uTh3l0+wlEX3aqDL4vteDcjvNf9ifNNyr0we37brhh6ImlNY9/za3VZak2y8rVrG/fZLmx75XLklasDauHz1anbHPbpNm39292XOs2Z7Udx/YaxmCXH9ex1z/fNbiqDZVHgh4HHbpug6yVntJwK5IPLPNwuKNce2pTauiOHuQfsW4ppcrOByXnOHXU3NCpuBs2abmW1V3Nicf59LJxxXrlouK9MYnEb26MKwte8xrzEsNrezfXhbV28ui6lnq0IUjfbrgFJ/Ki/I616hdObO8tZVb4nrwzaD1zkaSKemBN+t1zzXWEzxenB+2nCwlSUV+m/qWO7WrJqWqurS2VqX0/LzWTeSIJaQ7HqvRBouQt2epQyP6u+Vz27Rpd1KfNJocsXpbQj99ska/va7U8tx9yp2qC2W2a9i2N2UKfb1um/o205K8NJB9HPUqc2hQL/Ov5LUWHU5aoy2ebz7vv5T/8QMAAAAAAAAAwMHyHqDbbNIPLinWDX+uymjVXl2fNh1bWmDXzVOL8n1JOfHr5+os38O0sX6NHGheu72zqKxJ68ePVVuG55eO8euSM/IX6h6qRFJ65K3MIGjqaX71KusY68+feKxLO6szA9to3NCt9+/TrRcV6vTBHtnbeL5FWaFdJ/RxafmWzAddWdPQYrkrBsZFPpumjfVr2li/lm1K6JUFYc1ZEVUiSz65szqlf8yq1yOz6zVqkEdTRvp0xvEe0xrinZ09y+C7d2ZQqXTD9/K0M/0a3NulcMzQzEURfbjaXAm8cF1MtWHDNHkonpSeeDdk+RpXnxXQtRMK5HQ0VCS/uiiiP75UlzEZpiWemhvSqm3mL60bzy/QFeMCGZ+v9TuTuuOf1dpTe+D7++P1cc1aEtWk4V7TOW6Zau6iYrUu+uBeTv3hxrJWXffBrptYYDnpZ+KdlU1WiDcn389Xyu/9b4vxAwAAAAAAAADAwdokCupT7tCXz2m+Gvg7XyjqFOsPPz8vrPlrzAFD/55O3XB++6+5fahCUUO3P1ptOTFgzBCPvjW5Y763F+eHVVlz4Jq9LpuuOce6RXl7mH52gewWn7TKmpTu+GeNrvrtHt37WlDz18YVjbdd6+Fs7e23VnX98OmkY1264/JiPfujo3TT5EIdU5F9skXakOavieknT9To8l/vUdK6eL3LWb8zqT7lDj10azddOS6gEf3cGjvEo7u/UqJRFpOE0mlp1VZzlfCidTHL75TRgz3bpfaAAAAgAElEQVS64byG8FNqmGw1dZRP15zbus4RtWFDz8w1B6xTR/l01fiAaXLKgJ5O3TW91LQcxaNvZS4B0dXl6vnm+/7ne/wAAAAAAAAAANBYm9VSXjU+oOO6Zy94Hz/Uo/FDO37r9o27krrvdXPbW49L+p8rSppcZ7kjS6Wlnz5Zo027zeHpoN5O3XlFcZtXSbdEKGboiXczg5fLxvpVWtBxyoT7lDs0/azsgf6e2rSe/SCs2x+t1hfu3q3/emCfnnwvZKpaz7WeZdafx/rIkbN+cJHPpsvG+vXwd8v1p6+XadJwr1xN9OWork8fVjVwZ/OjacUqsWg7fukY6/G8ebd5zM6zqGaWpCvHW5/j8nF+eS3W7c7mg5VRRSwmnlzdxGduUG+nRjdaKmTHvpSpI0NXl4vnm+/7n+/xAwAAAAAAAABAY22WMjod0ncvtm7P7nY2VJ93dLGEdPfTtZYtn2+aXKS+TVSxdnS/f7FOn2wwVxd2L7Hr/32ltMMGEk/PCakufCC8KfLZdEWWYKU9XTexQNdPar4yMpmSlm5K6ME36zX9d1W69f59Wdf+PVx+j/UzrY+aqz2PBCce49Lt04r17x8dpZunFOrYo/K+wkWHNqyvS0OOdlnuG9rXervV2Fm30xyK+tw2DctyDq/LZlkBnc3CdeaAtXuJQz1Km/4+Ps3iNeZnCWu7olw933zf/3yPHwAAAAAAAAAAGmvThMgqoJUa1jhdsSWhM0/o2BXo975WZ1mhPWaIRxed5muHK8qNJ94NaebHEdP2gMeme75aqrLCjlPNfbDq+rT+/UE4Y9vVZxcokCUYbm/Tzw7otEEe3fd6MOtnobHlmxP60aPVGtHPrZ9cVWK5/vChcjmszxVPHEEl1hYKfTZdOsavS8f49fy8sP72WlDpI3BOwchB2b+PA16bvC6boo3GitUSBFssqpb7VjgslzXYb9DRLs1d2bIwe90OqyUHDNN3Q2NW3+Vrdxw5Fei5er75vv/5Hj8AAAAAAAAAADTWZgH61qqUnnw3+xqzf3q5TiP6lSvg7Zjh54erYnp5gTlk7lZo1w8vKW6HK8qNd5ZF9dAs83Nx2KWfTy/p0FW4j70Tygh4yovs+uJofzteUfMG9nLqd18r1daqlGYtjuj9VTFtqmx+zfHFG+O6+d69+u3XStWzmcrOlorErVNhv7d9J0z88aU6zV/bsvDrjOO9uvWiwpy+fjhm6K2lUc1YGM4SDh4Z+pY3Pc48LinaKO9sHK/GkzKFsJJUUdz0uSuKWj7Ga0LmcVxZk9bfXjMvtdGcz1rwWewqcvF8pfze/7YYPwAAAAAAAAAANNZm6ejvX6hVooklnfcG07rv9aC+98WO18q9qi6t3zxXa7nv9mnFKsphVXBbWr4loV9leV/f+2KRTunfcdvg7tiX0owFmRWO100skLud835bC4dCn3KHvjapQF+bVKDdtWl9siGmJRvjmr8mptqwdQX4jn0p3fVUrf7vm2Utfp2mhKLWr1PQzpNYqkNpVda0rOTbKrw7VKu2JTRjQUTvLItahnZHGp+n6YkUdrtN1pHqAeGY9fPxNLMkhK+FXSRS6YYJD7kSjBw5rQZy8Xzzff/zPX4AAAAAAAAAALDSJnHja4siWrqp+da4MxZGNOFkn04+znpt0/ZgGNI9/65VXcQcElwxzt+hQ+amBCOG7vxnteV67pL08vywYglDk0b4OmRL9H/MqlfqoGylT7lD5484tDb6zizFioaRPRhKpqz3eZytv1dHFdt1wSk+XXCKT6m0tHhDXP+aG9Jiizbvq7cltGh9PCdr/G6tsn74JYGO2bI/H0JRQ7OWRPTqwog27Gq++rhboV32jvdxMMlFpNmebzOV5fPVWK6vMZZoCIUdR8BHIBf3rqPe/5aOHwAAAAAAAAAArOQ9QK+ub6gsb2xQb6f8HruWbMwMCX/3Qq0eurW83SuJ93sqS5A5sJdTX5uU29bRbakunFZdlkpnSVqzPak124O6/416fWm0X9PPDsjfQYL09TuTentZNGPbDecVNrkmblP8WSoxY03kqRGLtYAlqcB3ePfIYZdGDnRr5EC3/u/VoJ770LyO8LzVsZwE6Ot3mt+g3S7169FxJrDky/ItCb26MKJ3P40o1szcHrtdGj3Yo8kjfRo9yHPI4yzX4k2NzxxWBR+ObJ8tq7W0D5bt89WY3d6wXnfjbgrD+7n1++tLW3aROGT5vv/5Hj8AAAAAAAAAAFjJe0z9t9eCClpUb3/nC0XyuW268S97MyqJt+9N6dG36nXj+QX5vrRmrdme1D8s1gf3uKQ7ryiR6whYZjUaN/SvOSG9tzyqu75couO6t//MhvvfyJyQcfzRLo0b6jnk82WrsK+uz97OeU+t9XoEBb7s6WpNKK1d1Sl1K3Soorj5FPbrFxRqxsKwKeDdWd3EWggtVFmT1kaLiut+3Z3ydNH8PBgxNGtxRDMWRrRpd/PV5kd3c+jCkT6dP8KnssL2S82zTcmoDaclWX8Jbd/bMdbydjslr9tmCjz31DU9hrdVtXyMlxXYFYpmHr8vePifEbRMPu9/W4wfAAAAAAAAAAAay2saumhdXG8tjZq2Txnp05CjG1K6S8b49ez7mVW2T78f0jkneTWgZ/uFtZG4obufrskI9/e7eUqR+pR37PTcZXHr0odRlLdjX0rffWCffn9Dmfr3aL/nsnhjXIvWZXYEONzJFj3LrJ/l5iZC1lXbrMuW+x00wWBvMK3fvVCnyuqUdlWnPl9X++wTvfrJlcXNXpfLIRX77dpdm/t1mZ/9IGS5feSAQ5+IkCs/v7okp+dbtimhGQvDem95NOuSBfu5ndJZw7yaPMqvk4/tGDMJsq33vLsmJR1jvsZ0uuE9dxTHHeU0fV627E412ao72+fLytC+bm2timRs21aVUihqKODtGF0zurJ83/98jx8AAAAAAAAAABrLW1llLCH94aU60/Yin003nn+g9fm1EwrUrVF1Zzot/fb5WqVznxu22J9ertP2veYqtnEneDR11KGttd2WAlla3+7vBmCzSfZG/5oTjBi6/dFqy/Xg28oDb2R2BBg5wK0R/Q6vnfmAni7LttwfrYlZTjqoCxtauNbc1r/IZ1PvbgfC+LICu9ZuT2jT7uTn4bkkzVkRbVHAWVWXVlWd+UNwVAuq15uyfHNCL883t4aXpKmndfyx3RrxpPTdB/Zp9pKmw/NBvZz6zheK9NztR+n2acUdJjyXpMIsywIsWm8eg1LD+Gqqe0JbG9TbPOEmmjC09DPr699Tm866z8qI/ubPf9qQ3lpmnrx1sF3VKW3YldS+YLpdf9d0dvm+//kePwAAAAAAAAAANJa3UuJH36q3bDV9w/mFKvIfCIR8bpu+eWGhfvlMbcZx63Yk9cwHIV05LpCvS8zqnWVRvbnY/Mf/8iK7vn9J85XDHUGPUuuq6sUb4xo/1KNeZQ7Nvrt7xr50WqqLpLVhZ1LvfBrV659ETMFGVV1a980M6rZLivJ16VnNWRHT6kaVhTecf/jr0Htc0glHu7R8S+a5d1Wn9Mjsen1t0oEK90jc0D3/rs0IxPcbM8Sb8f82m3ThqT49+V5mtXc6Ld3+aLV+cmWxTh9sXfFdGzb0y2dqLQP8UQMPrUrcMKS3l0X1x5frlLTocHz64IZxcaQo8No0cbhPU0b61L8du100p2+F9bW9vSyiK8cHdEzFgWdWVZfW314LWh7fXsYM8eql+RHT9sffDWlEP7dsjeYH/P31oIxWzNEZN9Sj/3vVprpw5g899na9xp3gUWmBecJJOi3d8c8afVbZMKvCZmuYqHDFuICuGt/2v3M6s3zf/3yPHwAAAAAAAAAAGstLarRhV0P43djg3k5NHmmucJ1wslczFkZMVWOPzK7X+KHeNg319tSm9fsXzZXzktSt0K77ZrY+nLr6rEBGZXJbKPLb1KPUoV2NJjH84qkaDe7tUlmB3VR1ffHpfp3S361TBzT8mzLSpx8+XK1QLDONeHNxRF+bZO4ckE/ptPTQm5n3/uwTvRrUKzdDeOppfi3fUmva/vi7Deu/D+rtUjxpaOnGeNYK/EvG+E3brhgX0IwFYdPPROKGbn+sRv16ODW8n1tHFTtkGFJtKK3te5NauC5uGdL3KHXo9EEtC9DnLI9q+96kUumG9dw/3RS3rGiXGiayfOeiw5+M0BmM6OfW5JE+jR/qtVzqoKMpK7SrdzeHqSNGIil9/6F9um5igfpWOLVxV1KPv1OvvcG0BvZyat2OjrEO+oh+bpUX2U1jb8nGuH73Qp2+NblQBV6bQjFDD74R1DvNVC435nXZNG1sQA/NyuxOsS+Y1ncf2KfbLi3WsL4HOgps3pPSX2fUfR7eSg2TS+IJacLJXasDQ1vI9/3P9/gBAAAAAAAAAKCxnMdHaUP6/Qt1psplm0367sXFWVuFf+cLhbrhL3szfi6elH73Qp1+f31pri8zq/U7E6bAeL8125Nas731odQFp/raPECXpHNP8lpWP6/aat0+/LRGweyQPi7deEGh/tioFX8q3dDefIrFZIh8ee3jiLZWHQgQ7XZlVIYfrnNO8uqpuSFtqjQ/361VqYzXtjJ1lE8DLKqYC302/eSqEv3w4WrLavKNu5LauKtlY8pul753cVGLQ99PNsT1yYbmWxk3fDaLsnYt6ArKi+w6/xSfLjzV1ymr7CcN9+mRt+pN2/cF0/rfFzI/nyUBu6afXaCfPVnTVpfXJKdD+so5BZZLesz8OKJZSyLqVujQvmBKif98zMYO8eiDVTHT8VafIUm6cnxA89fETF0ktlaldOt9+1ReZFe3QrtqQmlV1lhPIrnlosLDXh7hUNw7M6ilG7N/Tq3e88yPI1q41nx/JGn62QUaN/TQulQcqnze/7YYPwAAAAAAAAAAHCznacGLH4W1aps5oJ0y0qfBFmuZ7nfsUU5dalHBu2RjXK8tMrdvRfMuHeO3bJ/bGhNO9lpuX7+z7apbY4mGdsAHm3yqT0fncFKCyyHdeXmxAp4WLAbfyInHuPTtqdlb2p/S361fXlMq/yGcez+3U/qfK0o0cuDhrffemMMu3XF5sSYNt37OnZ3TLv2/a0r01G0Vun5SQacMzyXpsrF+lRc1/1m22aTbLinKeqxV6/62MGWUT2ccbx3qJlNSZc2B8HPUQLemjLKenBNPWiegDrv0s6tLsnakqKpLa832ZNbw9psXFurCU9un+nz73pTW7khm/WdlXzCd9fjqUNsv6J7v+5/v8QMAAAAAAAAAwMFyGqBX1aX10JvmKskin61Fa1V/9VzrtuD3zgxqb7DtQ4HOrrTArl9fW3pYoWHAY1OB1xz8BsNt9zyenxfKaN/rdkrXnJu76vP9+vVw6m83dWvxethOR8Mkhf+9vkzuZn7k9EFuPXRruSYO92btwmDFbmuopvzHd8p11rDcVpWOGujWfTd307kndc3wXGqo2h892GNarqCz8Xts+vW1pU2G6G6n9ONpxTrjeI/8butBFrNYFqAt2G3SnVcUa3wzldHD+7n1k6tKVOy3fp/RePbrLyu068/f6KZLx/hb3KXh2O5O/eHGMl1+pnnyFlonn/e/LcYPAAAAAAAAAAD75bSF+59erlPE4g/UN15QqCJf86mh32PTNy8s1C+fyVyLOhQ19OeX6/Tz6SU5u9YjxYCeTj38nXLNXRnVvNUxrd+R0N5gWuG4YWqzbyVtyPKZBixC9Xyojxr6V6M29JeMCbSoGvdQ9Cl36P6bu2nBurg+WBnVqq0J7alLqT5qyOO0qchv07FHOXXisW6dN8LXquvoXmLXj6cV61sXFuq95VEt35zQxl1J7QumFI4bskkKeO0q9tvUv6dLxx/t0tknenPyXn1um0oCdh1V4tCpA9waPdhj2XIeHddx3Rs+y899GNb7K6PaWZ1SNG6oe4lDpw/2aNpY/+dt+AuzBIihWFpF/vapwve5bfrZ1SX6YFVMMxZGtGFnQrWhtMoK7Tquu0sXjvRp7BCP7DapvMj6Gq2+iw7mdko3TynUVeMDemtZVEs2xvVZZVK1obTiSUMFXpsqih0aeoxbZw7x6NQBue3ocKTL5/1vi/EDAAAAAAAAAIAk2QzD4C/KyGrpZwn914P7TNuvOTegayfkvgocAAAAAAAAAAAAANpLJ29sjJbYuCup3zxXp921rWu7HktI978etNw3rC+VmwAAAAAAAAAAAAC6Fno4HwHShvT6JxHNXhrRhJN9uug0n4Yc7ZKtiS7sq7cl9OdXglq9LWHaF/DaNLwfAToAAAAAAAAAAACAroUA/QiSTElvfBLRG59EVOy3aWAvl/pWOFXgs8njsikaN1RZk9KqrQltrUplPc/0swNyts8yygAAAAAAAAAAAACQNwToR6jasKFF6+NatD7eqp8b1Nupy8YE8nRVAAAAAAAAAAAAANB+WAMdLTagp1O/va6M6nMAAAAAAAAAAAAAXRIV6EcAp0Oy2xrWQj8Udrt0+diAvjqhQB5Xbq8NAAAAAAAAAAAAADoKm2EYhxirojOpCxv6cHVUH62OadmmhGpC6WZ/pkepQxNO9mrySJ96llJ2DgAAAAAAAAAAAKBrI0A/Qm3fm9K2qqR2VadUHzOUSBryue0KeG2qKHZoUC+nSgvo8A8AAAAAAAAAAADgyEGADgAAAAAAAAAAAACAJEqMAQAAAAAAAAAAAAAQAToAAAAAAAAAAAAAAJII0AEAAAAAAAAAAAAAkESADgAAAAAAAAAAAACAJMnZ3hcAAEBns7UqpbXbE6oNpxWKGrLbJY/TpuKAXWUFdnUvdahnqUMOpqkBAAAAAAAAANCpEKADANrV659E9Jvn6kzbn/5hhSqKO04CnUpLrywI6+m5IVXWpJs9vrTArudur2jVa0y8s1JpI3Pb9LMDun5SQavOcyTpLOMHAAAAAAAAANA5EKADANCMUNTQ/zxRoyUb4y3+mVTKaP4gAAAAAAAAAADQoVCaBQBAM37zXG2rwnMAAAAAAAAAANA5tVkFeihmaP6amOaviWnDrqSq69OqC6flddtUVmDXsGPcGnuCR2cM9shma/pc81bHdMc/a0zbv3FBoa4Y57f8mafnhnXf60HT9l9ML9GZJ3ha9B4enl2vf74Tstx35fiAvn5+y1rszloS1T3P1lru+94XizR1lM9y3y+eqtW7n0Yztv3w0iJdcIr18Qerrk/rw9UN93/rnqSqQ2nVRw0FPDYdVezQice6df4pPg3u3fyQeG95TD//l/n+H4qLR/v1nYsKc3IuAMiHdTuSmrsyZrlv7BCPhvdzq8BrVzxpKJowFIkZqqpLKZagAh0AAAAAAAAAgM4m7wF6Ki29PD+sR9+qV13EHCaEooZC0ZS2VkU08+OIjqlw6LZLi3VCH1e+L63V5q6wDlAa9kVbHKA35Y1PIlkD9EMRS0j/mlOvp+aEFE+a9wcjhoKRpDbsSurFj8Iad4JH3/9SsYr8zcxiAIAjxIerrb/7v/+lIk0Zmbvva0l64gcVMozM35UFPprFAAAAAAAAAADQVvL6V/lEUrrz8Rr9ZUbQMjy3snlPSrfet0+zlkSbP7gNbdub0qbdFgn0f2zfm9Jnldn3t9SKLQlt35s67PNIDZMTvvfgPj32tnV4bmXuyphuuW+vquvTObkGoC2l0g0TXZK5+QgBkqTNFt/9xX6bJp+a2/BckrqX2NWj1JHxr8DLhCYAAAAAAAAAANpKXgP0nzxZo/lrsldtZ5M2pF//u1aL1nec9WbnLDcH+o1bzTdVod4aby6OHPY5Umnphw9Xa9W2RKt/dmtVSr94qlYG3YfRyaTS0k+frNHlv96jv88MamsVSToOXzhmnlDUo9TR7HIjAAAAAAAAAACg88lbC/fXFkWaDM/793CqV5lDdRFDn26OK90on0gb0m+eq9Uj3y2X39P+KcXcFZkBep9yhxwOmzYdVHU+d2VU15wbOOzXenNxRNdOKDiscObfH4SzhucOu3RCH5dKAnZt2p20DBmXfhbXm4ujOv8Ub4tfc3g/twb2at2QOvEYd6uOB1qiJpTWM++H9cz7YQ3r69LkUT6dfaJXXlf7f5eg80lbTCZiLAEAAAAAAAAA0DXlJUCPJaT7Xg9a7utT7tCdV5RkBK1bq1L6n8ertWVPZpBbVZfWcx+G9ZVzDj+UPhx7atNasz2zhe/Qvm65nMoI0DfsTGpndUo9Sx2H9XqVNWkt/Syu4f0OLVwORQ09+na95b4zjvfotkuKVBI40HzgpY/C+tMr5uf1z3fqdd4Ib4uD/DHHe3TZWP8hXTOQL8u3JLR8S0J/nRHUuSd5NXmkT8cf7Wrvy8pq1pKo7nm21rT9yR+Uq0eW75Yn3wvpwTfNn/lZd3WXo1GfkbkrY/rpEzUZ20oCdj3/44rP//+zyqRemBfWko1xVdam5LDZVFFs16hBHl02xp/1Oqx8tCam1xZFtG5HQvuCaRX57ep7lFOThns14SSfXDn4LVQfNfTWkoiWbkpo7faEakNpxZKGSgJ2VRQ7dPogj845yas+5c1f9w8fqdaidc13P1m6KaFz76hs8pjvXlykL5xm3eb9l8/U6q2lLVuqZPrZAV0/qaBFx7b185Vye/8ba4vxAwAAAAAAAADAwfLyp+f3V0YVtFjzvMhv0+++VqaK4sxEp0+5Q3d9uVRf/2uVYo2Kpl+YF9bVZwVMIVBbalx9LkknHeeSy2HTKwsijY6N6fIzDz9EfnNx9JAD9DkroorGzfd/UC+nfn51iZyNMoyLR/v1WWVSLzd6Lzv2pbRsc0InH9txw0agpcIxQzMWRjRjYUT9ejg1eaRPE4f7VOQ7siqJ/W7z+62PHmgB8vi7IT0yuz6j6johQ1urUtpaFdaMBWHdcXmJxg31NPk64Zih3zxXqzmNlrbYG0xrbzCuxRvienpOSPd8tVT2Q2y3kUhKD8+u1wsfhUy/O6SGSVhVdWmt2prQo2/X64uj/brhvAL5LO5BV9FWz1fK7/1vi/EDAAAAAAAAAICVvMTSs5ZYr+E9/awCU3i+X59yhy4ba640L/TZtH1v+65jbBWgj+jn0QiLgNvq2JYY0DNzLsN7y6OKJg5tEfJsVY1fm1RoCs/3u2J8QDabVFZo18gBbl1+pl8/uqxYvcsOr5oeaEtup/SHG8o04WSvXE0M3Y27kvrrjKCm3bNbdz9dq8Ub4jIO7ePW6bgtWo8nUw2dQ56eG9Y/ZtVbtizfL56U7nq6Rht3JbMek05Lv3iqxhR+NrZ5T0r//Ui14snW3/yaUFo33btXT821Dm8bM4yGCVnff6ha4VjXfdht8Xyl/N7/thg/AAAAAAAAAABkk5cK9BVbzH9Nt9ukC061bmW73+SRPi1cF9NJx7p14rFunXiMK6PVeHuoDRv6dHPm+zm6m0PdSxquq2+FI6P1/IotDW1mywpbd90jB3i0fueBwCISNzR3RUyThrd8DXKpIaRYbbH2eYHXplEDs1e09yx16OU7j1LASyUfOreTj3Pp5OOKdctFRXrjk4heXRg2LQ+xXyIlvb0sqreXRdWz1KELR/p0wSk+lRe17/dOPjmzvLWVW+J68E3rpTcaS6akB96s1z3XlFjuf3F+WAvWWrdBL/Lb1LfcqV01KVXVpbW1KqXn54Vb9Lr7xRLSHY/VaINFyNuz1KER/d3yuW3atDupTxpNjli9LaGfPlmj315XannuPuVO1YXSGdu27U2ZQl+v26a+zbQkL23i91evMocG9TL/Cl67o+ngujlt8Xzzef+l/I8fAAAAAAAAAACakvMAvbImrVDUXA02sJdThc20Su5Z6tDfb+qW60s6LO+vjJqq9UYNOtDadtRAj7bsyfzj/furYlnXvc3m6PKGUL6y5kBw8+biSKsD9F015qBHkoYe4252LXPCc3QlRT6bpo31a9pYv5ZtSuiVBWHNWRFVIks+ubM6pX/Mqtcjs+s1apBHU0b6dMbxnnZdPiIf7Hbrz/m9M4NKpaXSArumnenX4N4uhWOGZi6K6MPV5krghetiqg0bKvZnni+elJ54N2T5GlefFdC1EwrkdDRM9nl1UUR/fKlOmypbFxo/NTekVRYThW48v0BXjAvo4Le4fmdSd/yzWntqD3y3frw+rllLopbfr7dMLTRts1oXfXAvp/5wY1mrrvtg100s0HUTzeuaT7yzsskK8ebk+/lK+b3/bTF+AAAAAAAAAABoSs6joa17rP+QfWz3zrmOtlVL9oMruUcNNK8Teyht3GvDaU0anhm6f7IhnhE6tMS2KutKW1qx40h20rEu3XF5sZ790VG6aXKhjqnI/nlIG9L8NTH95IkaXf7rPUq27woSbWb9zqT6lDv00K3ddOW4gEb0c2vsEI/u/kqJZfeKdFpatdVcJbxoXUzV9ebvrdGDPbrhvILPl5Gw2aSpo3y65lxziNyU2rChZ+aaA9apo3y6anxmeCs1LI9x1/RS0wSiR9+qb9Xrdna5er75vv/5Hj8AAAAAAAAAADQn5xXowYh14Lu/5Xk+3fd6UPe93rIWtS0Rihn6ZENmgOB0SMOPOxA2nHycWy6nMqpal2yMKxgxmq24P1htKK2LTvPr8YMq7wyjYT35q88yrw2fTX2W+9+4pfya7Ult39uyqr2zT/SaQhErf3stqL+91vL7//0vFWnKyNZV6gOHo8hn02Vj/bpsrF+fbk5oxoKw3l2evSq9uj59WNXAnc2PphVbLptx6ZiAFq4zh6mbd6c0enDmtnkW1cySdOV46++xy8f59dSckKKJlt3oD1ZGFYmbj23qe3JQb6dGD/ZkXNuOfSkt35LQsL6dc3LXocjF8833/c/3+AEAAAAAAAAAoDk5D9DDFn9YlySfu/P1Qf5odcxUfXriMW553QfSZI9LOulYtz5efyB8SKUbQoDzRrS8/XowYqh3N4eG9nVlrCH/5uLWBejZ7r/HlfiFxc0AACAASURBVJmAv7owrBkLIy0655kneOXO+UgB2teJx7h04jHF+vbUIr25OKJXF0a0afeR2wp6WF+XhhxtHSYPzRIy10fNE3bW7TS39va5bVmDaq/LplED3Zq70jo4bWzhOvNx3Usc6lHadJeN0wa6TeHs/NWxIyZAz9Xzzff9z/f4AQAAAAAAAACgOTmPReNZqsBcnbCD+Byr9u2DzK1uTxvoyQjQpYY27q0J0GP/uW/nn+LLCNC37Elp9baEjj/a1aIq8Gz339n55i8AbaLQZ9OlY/y6dIxfz88L62+vBZVu3coJXcLIQeblKPYLeG3yumymKt+oxYSdLbvNPe/7Vjhkb+I7aNDRrhYHoOt2WE1yMPTvD8JN/pzV5Ii1O8xhbVeVq+eb7/uf7/EDAAAAAAAAAEBzch6gH1ydfbBYsnO1V40lpIVrzS1trdY8HzXQrXtnZm5buC6maMKQ19WyNu7720Sfc6JXf5lRl9FS+o3FUR1/tMtURW7F58l2/1t0GUCb++NLdZq/tmXh1xnHe3XrRYU5ff1wzNBbS6OasTCcJRw8MvQtb3qWk8clRRvlnY2/1eNJWbbSrihu+twVRS2fYVUTMs9uqKxJt2r5iP0+qzxynncunq+U3/vfFuMHAAAAAAAAAIDm5DxAD3ity8RC0fwH6AVemwJe6wA5FDVU34prWPCfAPxgZYV29e9hvmXHdneqvMiuqroDwUI8KS1YG9f4odmr/qwEvDaNHeLVu58eqH5/Z2lEN00ulC/L5ITMn7e+/2GLVry5NryfWwN7tXxI9bO4lzjyVIfSqqxp2fi0Cu8O1aptCc1YENE7y6KsnyzJ52m6TYXdbpN1pHpAOGb9fJqb/JNt4k9j/5+9Ow+zu67v/v+afUlmskLYSQIEEAIBEkSQRUQR0Naf+3JX27rVpVXbu73b29/vbntf96+t/dXaFq1aq3b1V/VurRJFwAUBEYiSAGE3YQkBQvaZzD5zzv1HCGRyvjNzJpkJM+HxuC6vS86cOfnMmXNOrivP7+f9GSrtvuBhonT2vHhGDUzE73eyn//Jfv0AAAAAAEA1Jrxgzp5R/I/0T26rHMs60d55ycy89cLWwq997ebufOF71e+Qu7lgfPu2zlIu/cSmcT3GeAN6snuM+94BvaOnnNse7MvMlrEjwby2EZ7/7cOf/99+fXt++/Xtw26757GBfPTvto17vXucf0pT3nRB8fMPU0FXbzk3rNl93vm6p8fefTyvrbaqoxNeaBORNF/IH3NoqLqfYKLX2DewOwrXvQiOuJiI526qPv/Vvn4AAAAAAKAaEx7QR9pVvO6p6s6a3RPaj5xTl5oXqOgMDiU/feDAz1O97YG+DAyN//z3FSc2Zm5bbbZ1Pr8b77o7e3LOCZXnr+9r8YL61NQk5X16wvoqYiEcqtY+PpDvrOrJjff0pG+Mj6La2uS8k5ty5fKWnLekadSzlw+m/lHewj0TuCv4QLSOsMu56CztvfWM8fU9amt3T+nYd6LJssWN+cv3zKlukey3yX7+J/v1AwAAAAAA1ZjwgD6zuSaHz6rNMzuHj2LdsGUom3aUsmD26DXq//36zty/YSCtTTU54Yj6nHhUQ5Ye35BLljZP9FJHtHp9/4SMnO/qK2f1uv6cu2Ts8L232trksjOb8/Vbup+77fYH+7LixLEfp7mxJkfPrcsTW4fvOF//9GC2dZYyd4Qd6nCo6ewp54bVPVm5qiePPjP2BSTHzKvLFctbcvlZLS/o+2Sk64Z2dpeSFF+Ns3Hr1LhAprF+92fQvsFzc8foE0ie2FL9hJK5M2vT1Tv8/ts6J3/CCbtN5vN/MF4/AAAAAAAwlkk5hPqcE5ty7c97Km7/1u3def/lM0f8vvs2DOT+Dbu3h3b3lXPPYwO557GBDA21HNSAXjS+/UAea7wBPdk9xn3vgD5UStY80l/V9553SlP+90+6K25fuaon77p0xrjXApPpj98xe0If7+5HB7JyVXd+vLY3A2N05cb65OLTm3PlitacubBhQtexv0Y67/mZHUPJ8ZVrLJV2/8xTxaLD63P/E8PX8/gzQ6OO6t73/qM57bjGbNgy/O+XJ7YMpau3nBnN02De/jQ32c//ZL9+AAAAAABgLJMS0F+1rLkwoH/zp1151bLmLFpQ+ccODCZ/8R8dhY93xfKDd652qZz85P7K8e0vXdKYc04c/TzzNev7c+s+o99/cn9fPv76jPsc5UUL6nPSUfV5+MnnC+DqddUF9MuWtRQG9K/d3JVXntmco+cV72LtHzAGl+mtfzD52Be3jXm/JUfV54rlrbnszOYpF13bWorX87Nf9OeVZ1ZeSHTTvb3ZvqtU8B0vjCVHVwbQ3oFy7nqkP2cXHEOxeWcpd1V5cVCSnHVCY7535/C/X0rl5Ad39+aXzm0Z8fue3j6Urr5y5syozewZtVNmNP90M9nP/2S/fgAAAAAAYCyTEtDPXNSYRQvq88im4ds/+waS3/vK9vzBm2cN+4fwju5yPvnvOwvHLJ+7pDEnHz0pyyy09rGBwhj1xgtmZPkYI9RPOrqhIqDv6CrlnscG9mt36+VnteThJzuf+++OnuoC95Kj6rP0+Ibc89jwCNHTX87H/35bfv9Nw5//rt5yrruzJ//4w13jXiNMFzOba3LZspZctbwlJxx58D5Txuu4w4rX9sO7e/K2i2bk+MOevwBmS0cpf/vdzsL7v1DOP7U537q98gKqf7mxK2ctbkzNPtcHfP57nSmP49qdC09ryme/U5OO7uHf9E8/3JULX9KUOTMry2yplHzin3c893dSTc3uCxXeeuGMvP0iUznGY7Kf/8l+/QAAAAAAwFgmpSLV1CQf/aX2wp2gWztL+a9f3p5j59fluMPqMzBUzt2PDKS3YPdzQ13ygde0TcYSR1Q0vr2xPjlj4dhj2E87tiEtjTXp2ef81lvu7d2vgP7KZS353LWdGdqPzaW/9br2fOCzW1Pa52nd0rH7+T98Vm2OnFOXzt5yNmwezMAoR8hWuz/31gf6xjyrtsglS5tz6jFTY3w2h56zFjfmyuUtuei05jRM3W7+nLlttTl6Xl02bh3+XhoYTH7nS9vya5fNzHGH1Wf904P5lx/tytbOUsW0ihfSWYsbM7+9Nls6hn9wrVnfn7/4Zkc+eGVbZjbXpKuvnL+/rjM/unt8R2Y0N9TkzRfMyJduGH7Bz7bOUj72xW353TfOyunHPf958tjmoXxmZcewC7rK5aR/IHnlmSPvmKbYZD//k/36AQAAAACAsUxaTjpjYUPecfGMfPXHXYVf37BlKBu2jB5bP3hlW+G498l0y32V/xh/xsLGNFaxjPq6ZNnixvx0n13ot9zXmw9fNf4LAWa11uSlJzfl1oKR8mM54cj6vP81bfn8tcW7U5/ZWcozO0cv880NNfmvb2ivOjquWd+fNevHP0r3uMPqBXQm1Pz22lx+dkuuOKclR80tPrJgKnvVspb8ww8qJ0Js6yzlU98cftTF7Bm1eeclM/NHX91xsJY3qvq65FdeMTOf/lblkRzX/rwnN6zpyby2umzrHHruwp0LTm0qPDpj3wuA9njbRTNy+4N9Wfv48CkbG7YM5be+sC3z22szr602O7pK2bSj+HPuN1/XlsNnHfw57p+7tjN3jfI5WfQzX/vznqx6qPjvgXdeMjMXnjb68SITbTKf/4Px+gEAAAAAgNFMap1+76tnplRK/u3m4og+mve8emZef97BO/s8SR7aOFj4j/3LT6o+Tiw/sTKgb9pRykMbB7NkP0bRX352y34F9CR5y8tb09Nfzj8WhLixLFvcmI//cnuOnT/94iMvXvW1yZ+8a3bOPalpWp9x/aYLWrNyVXfFLtx91dQkv/uG9syaUfzDDg4ldS/A83DVipbc9mBfxWfhnjVt2vH8xVMrTmrMVStaCgNo/2BxAa2rTf7oHbPz3/9pex4q2Hm/paM06nP3G1e05YpzXpjd5xu3DhWueTTbOkvZ1ln882zv2o8RJQdosp//yX79AAAAAADAaCY9rbz/NTPz5782J0fPqy7ELphdmz9795y88+KDfy5t0fj2JGOefT7sviPE9pEeeyznndyU9pZqh6hXevelM/IXvz4nR8yp7vlffER9PvGWWfnL98wRz5l2amt3v2emczxPktammnzyV+dkfvvIP0hjffLf3zwrLzulKa2NxZ8RfQVHYxwMtTXJ//3WWblojJ3RyxY35n+8fXZmtRb/nL39I69/bltt/uYD8/LG81urnpKxcEF9Pv2+uXnLyw/uxVmHosl8/g/G6wcAAAAAAEZyUOajLz+xMf/wsfm565H+3HxfX+7f0J/tu0rZsauUurqazJlRm1OObcj5pzTlkqXNL8iOySS5qSByz22rzeIjqn+ajp1flwWz64btkNvz2O959cxxr6mhLrn0zJb8523d4/7ePc4+oTH/+PH5uWltb259oC8PbRzIlo6hDAzuDnVHzavL0uMb86plLfu1Sx6YeIsW1OcrH52ff7+1O7fc15untg+lt7+cBbPr8tKTm/LmC1qfuzCmbYSA2NVXSnvrC3MhTEtjTf7oHbPzk/v7snJVT9Y9NZCdXaXMbavNogUNuWJ5Sy44tSm1Ncn89uI19owRQBvrkw9f1Za3XzQjP7i7N2vW9+eRTYPZ2VVK/2A5M5trctisupx2fGNefmpTzhnHxVCMbTKf/4Px+gEAAAAAgCI15XLZvzADAAAAAAAA8KI3zQcdAwAAAAAAAMDEENABAAAAAAAAIAI6AAAAAAAAACQR0AEAAAAAAAAgiYAOAAAAAAAAAEkEdAAAAAAAAABIIqADAAAAAAAAQBIBHQAAAAAAAACSCOgAAAAAAAAAkERABwAAAAAAAIAkAjoAAAAAAAAAJBHQAQAAAAAAACCJgA4AAAAAAAAASQR0AAAAAAAAAEgioAMAAAAAAABAEgEdAAAAAAAAAJII6AAAAAAAAACQJKmf6Ad839Vbs+7pwQl9zBOOqM8Xf3Pec//947V9+eP/f8eY31dbk7Q01WRGU02OmV+fE4+sz8tObc4Zxzekpmb86/jK93fln3/UVfi1t100I++/fGZVj3PDmt786Td2jvj11qaatLXUZFZrbZYc3ZDTj2/MipMaM2dmddc7VPv8VOOXz2vNR1/XNuy2yV7/ZPnI57flvg0DFbdf/YG5Oe24hqoe46ntQ3nnX2ypuH3JUfX5/IfnFXzHbhu3DuXme3uz6uH+PL19KNt3lZIks2fW5og5dVlxUmNe/pLmHDu/rsqfJnn7/7c5m3aUht02v702X/9vh1X9GEw9o72/fvv17XntipbCr/3Pf9uZG+/pHXbb772xPa85u/j+k2W6rx8AAAAAAHhxm/CAPpWUyklXbzldveU8s7M/d67rz9dv6c7R8+rym69tz7lLGsf1eDff2zfK13qrDuhj6e4rp7uvnE07SnnoycGsXNWThrrksmUteeclM3LU3Ooj6wthqq7/kqXNhQH9tgf7qg7otz1Q/Bq4eGlz4e0d3eV86YbOfGdVT0rlyq8/vX0oT28fypr1/fn763flquUtee+r29Leuh9XeHDIu+7OnhED9HQw3dcPAAAAAAAc+l6UI9w3bh3K7//j9vzrjcW7yYs8sXUojz4z8s76jVuH8simid15v7eBoeTan/fkfVdvzU2jhPypaiqs/5IRIvdtD1a/npHue/HplY/9zM5SPvz5rbnmjuJ4vq9yOVm5qicf+tzWPLOzNPY3UGGotPtCl8GhF3olk+Pexweycev0/eGm+/oBAAAAAIBD34syoO/xpRt2VYwMHslNayvvt+8Y+NF2qE+Unv5y/uirO/Ldn/VM+p81GV7I9c9vr83pBTvN1z01mC0dYwfr3oFy1jzSX3H7kqPqK3bVd/WV8/EvbtuvWPjktqF8/Ivb0tVXRXVnmKFS8odf3ZG3fHJzPn9tZzZsOfRi7fWrp+d7f4/pvn4AAAAAAODQNuEj3F99dku2dIwcrb6zqifd+4TB5saavO7ckcf6zm+vbuT36cc35IQjnw+k/QPlbOkYyv0bBrKrtzhGfu7azlx0WnNqx7iU4OZ7hwf0Y+fXpa6uJo/utev85vt6865LZ1S11iJnn9CYE46oz67ecp7ePpR7H+9P/wib2v/62x058ciGLDm6+l/hssWNOemo8f3Klx5f/Zj7yV7/RLhkaXPWPl48xn2s0dJ3ruvPQMHPUzS+/Yvf68xT24vfB+2tNTn1mIbU1NTkgScGsqOrMt4/tX0of3/9rorz56nOjq5Svn5Ld75+S3dOP64hV65oySVLm9PcMP1H41+/uie/+sqZFRfwTBfTff0AAAAAAMChbcLr5ZsvaB316zet7a0I6DOba/LBKw48FF50WnPeVPDnD5WS//hpdz5/bWfK+3T0zTtLuefxgZy5cOQzsDfvLOXBjcPL6WnHNaahPsMC+rqnBvPU9qEcOWf/zvi+6PTm/NJeFxL0DST/eVt3vvL9zooQPTCUfPpbO/O5D82r+vHPP6Wp8PmZKJO9/olw8dLmfPa7la+DagL6iOef7zO+fcOWoVyzqniX7RvOb837L29L47PvvIGh5Cvf35V/u6nyOIFv396dN57fmmPmTe0z76e6tY8PZO3jA/nMys5cekZzrlzeklOOqe7M+6lo045S7nqkP8sWV39xy2jK5WTNI/25aW1v7n9iIM/sKGVXbyl1tUlbS20WLajPOSc25TXntKS95cCr90SvHwAAAAAAYCK9KEa419XuDvu/NMIu9/sfrxzLvbd9d58nyRmLGnLGwsoANJFj3Jsakrde2Jo/e/ec1BX8ph7cOJh7HqvcTT1VTMX1z2srHuN+5y+Kd5fv7faHKn+3RePbr7+zpyLQJ8kFpzblI1c9H8+TpKEuef/lM/OKMyp3sZfLyXV3Gnc9Ubr7ys+eMb8t7716a/7jp93p6JmeY/KvX13d0RNjeWTTYD74ua35nS9tz7du78lDGwezo6uUwaHdF8Bs6Shl1cP9+fy1nXnbJzfnOxN09MJErR8AAAAAAGCivSgC+h4XnFoZKZNk+67Rz78uCuhnLW7KWQU7KIvue6CWLW7MWy8sHg2/8o7uCf/zJtpUW/8lBSPXewfKuavgfPM91j89mM07K18nRePbv39X8WvgPa+aOeLj//plxV/7wQiPRbHG+uTT752bV57ZnIZRNu6vf3own1nZmTf/6TP5X1/bmdXr+gsvepgqTjxy+LCQH6/tTe/AgS34gScG8ptf2JaHNo5x5cizegfK+dQ3O/Ift47/PTsZ6wcAAAAAAJgML6qA3tw4/vHDO7vLFbukj5lXlwWzazO3rTbHHTa80t37+EC2dY4e5PfHG17WmtqC5d/96Oi756eKqbT+i09vLjx/+bYHR54eMNLX9h3fvn1XKZt2VJ59vviI+ixcMPKJCUfPqys8D/7p7UNjXuDBcGcuasgn3jIr3/iDw/PBK9sq3qN7GxhKfnh3b37ny9vzXz61Jf9yY1e2dEy953v5iU3D/runv3xA0y76BpL/9bWdFcdpJMnxh9Xl4tObcuqxxWPu//bazjy5rfI1PpqJXj8AAAAAAMBkeVEF9PWbindazp81cmC75b7elPZpTCuWPB+DVpzUlH3dcv/Eh6G5bbV5SUHQ2rSjNCWD376m0vrnttXmjOMr1zLegF40vv0XTxW/xpYWjPuvuM/xxfdZN8JjMrr2lpq8+YLW/MPH5uev3vfsrvSRr2HIU9uH8uUbduVtf745f/BPO3LLfX0ZmiJvrWPm775oZ2/Xr97/cerfv6unMIK/7aIZ+fJH5+cP3z47n/2Nufnjd86uuE+plHHvQp/o9QMAAAAAAEyWF01A7+wp52s3dRV+7cxFI8fNopHsK05q3Ov/Vwb0yRjjniQnHFlc/zZsmR6BdSqtv2iM+5PbhvL45sqo2NlTzn2PV57VXjS+fcPm4p/l2HmjzBN/1tEj3OfxafL7ncrOWPjsrvTfPzwfurItx4+yK71UTm5/sC//41935C2f3JzB8W22nhQ7u0t51bKWYbfdua6/8FiBavzo7srPqBlNNfm1y2YOm85w4UuacvpxlReb/PwX47tIaKLXDwAAAAAAMFlG2Y85/Q0MJps7hrJmfX/+9cauPLW9soSdfHR9lhxV/DR09ZVz57rhI8br65JlewX3Mxc1pqF+95+1x5r1/ensKaetZfwj40dz5Nzide7qqe4s4b/9bmf+9rudVf95v/N/teeq5S1j37FKB7r+iXTR6c25emVnxXSB2x7sy3GHtQ677Y6H+irul1SOb0+SXb3FP8toUw72OGyE+4z0mIxfe0tN3nRBa950QWvueWwgK+/ozo1re4e9f/e2fVep8Hd/sO3sKuV157bmX258/iKgcjm5YU1P3nHxjHE/3tknNFaMaD9sVl3hufFnLGrM2n0uINk4zhHuE71+AAAAAACAyXJIBfTxBuKGuuTjr5814tdve6CvYvfp0uMbh52l3tSQnLGwMT//xfOhfaiU/PSBvrz6rMrAeiBam4qD/K7e6bGLcyqtf87M2pyxqDFr1g+/QOK2B/vylpe3Vty2r6Lx7UnS1Vf8szQ3jH0xRdMI9+meJr/f6Wbp8Q1ZevysfOS17bl+dU++s6onjz4zNXf7d/aUc/S8upx2XEPu3StmX796/wL0eL5n9ozKQSWDQ0lvf3nYZ+FoJnr9AAAAAAAAk+VFM8J9X80NNfnDd8wecfd5ktxUNL59SeW493MP0hj3hrriWNU/MAW2yFZhqq2/aIz7PY/2p6vv+fWUysmqhysDetH49iTpH6G/Fu3srbhPffHz0zc1m+4ho62lJm88vzVf/ui8fOS1bamdgp+Kfc++Ry4/e/hEiMc3D+WBJ3YH6doJGHjRN5B0dJezc6//DQwVvz8Hx3Fdx8FaPwAAAAAAwIE6pHagV+u8k5vywSvbcuz8katm30Cy6qH+ituLzjxfcVJjPnft8NtWPdyX3oFyVTuPq9XTX1ysWpunYPErMNXWf+FLmvI3386wEd1DpeRnD/fn4tN3/57v3zCQju7KgFg0vj1JmiuPi06S9Fcx8XqkCwlaqtzlO1391bc6cvtD1Z2p/bJTmvNbr2ub0D+/u6+cH9zVm5WruvPwk1PzaoU9r9FXLG3O1Ss7ho2cv251b045pmHECQajWff0YK5f3ZPV6/rz2ObBEUfZH6jJWj8AAAAAAMBEe9EF9N9+fXteu2Lsc73veDaA721uW21OOKLyKVu4oD7z22uzpeP5QNw/mNzxUH8uOq0yuO+vrhHOwp7ZXF14Wra4MSeNsuN+X4sLftYDcaDrn2hzZtbmzEWNWV0wxn1PQB/P+PYkaW0qvhigZ4TR7sPu01/8/MwYYfT9oWJ7VymbdlS3nXlH18SNs7//iYGsvKMnP7q7t+K9PlXNaK7JBac258Z7np9w8aO7evKhK9vGdaHFUCm5+pqOXLOqJ+WD+KNP1PoBAAAAAAAmyyEV0M9Y2JATj9q9Bbh/oJyVq3oq7vO1m7ty+dktY47ULhrBvq2zlEs/sanq9dx8b++EBvQNW4q3hxadUVzk/FOa8qYLWse+4yQ50PVPhkuWNlcE9Dse6ku5nNTUFAf0kca3J0l7S3EEfGbn2OH3mR3F29RntkyPCQPTQVdvOTes2X3e+bqnx95uPa+tdsqNFr/87JZhAbqjp5zbHuzLzBFee0U++e878/01E3/MRDUmYv0AAAAAAACT5ZAK6C9/SfOwQLyjq5Rb7hseQDduHcq/39qVt104Y8THGRxKfvpAdSOlR3PbA30ZGKru/Otq/OKpyuBXW5ssPmKEueFTzFRc/0WnN+evr+lIaa++vX1XKQ8/NZj5bbVZV7Dmkca3J8nxhxe/pR7fPHasHekCg4UjPCbVW/v4QL6zqic33tOTvoHR71tbu/uYhyuXt+S8JU1T7kz0FSc2Zm5bbbZ1Pv+ive7OnpxzQmNV3796XX9hPD9iTl1+5RUzsvzEpsyaUZvGZ1923/xpd65e2Tkha08OfP0AAAAAAACT6ZAuc++7vC23PtA3LI4myT//sCuXn9WSOTOLy9jq9f0jjhsfj66+clav68+5Sw48DG3aUcr6gh2zixfUp2ka9POpuv5ZrTVZtqgxd64bvgv9Zw/35fBZlVc+jDa+PclzExD2dfcj/YW37+2uEe5zwpGH9Nt00nT2lHPD6p6sXNWTR58Z+wKGY+bV5YrlLbn8rJbMbZti1XwvtbXJZWc25+u3dD932+0P9mXFidV9zly3unIyR5L82bvn5LjDKl/bfYMTO+P9QNcPAAAAAAAwmQ7pMnfs/Lpctbwl19wxPBj19Jfzxet25ffe2F74fUXj2/fXzff2TkhA/8ZPugpvX37ixI2In0xTef2XLG2uCOg/X9efI+dUxsTRxrcnu89zX3h4fUWwfWLrUB7cOJiTjy5+yz385GAe31w5wn3h4fUv2BnxB8sfv2P2hD7e3Y8OZOWq7vx4bW8GxujmjfW7JwpcuaI1Zy6cBleiPOvys1uGBeihUrKmios0kt2vtX0dNbeuMJ4nyWPPFB8tcCAOZP0AAAAAAACT6ZAO6Eny7ktn5obVvekdGL6L8nt39uSXz2utCJqlcvKT+yvHt790SWPOGSP2rlnfn1v3Gf3+k/v78vHX54DOUV772EC+fXt34ddee27L/j/wQTLV13/Rac35q28PH+N+72P9eXpbQUAfZXz7Hq9c1pwvXb+r4vYvXd+ZP/+1OYXf8+UbikdkX7Zs7D+P5/UPJh/74rYx77fkqPpcsbw1l53ZnBnT8AKFRQvqc9JR9cNi+Op11QXond2littGOmait7+cn9xXfEFR6QA2ph/I+gEAAAAAACbTIR/Q57bV5i0vb80//ahyB/TV13TkM78xd9htax8byPZdlYHpjRfMyPIxRgyfdHRDRUDfF1sJOwAAIABJREFU0VXKPY8N7Nfu1nI5+eHdvfmrb3dksGAT6EtPbhp1nPgLbbqsv721JmcvbszPfvF8wOsfTJ7aPnzRY41v3+NVy1ryD9/flaF9XkY/+0V/Pv2tjnzoyvbnxtb3DyZf+F5nbn+oMh7W1+1+LCbGzOaaXLasJVctbzkkxuJfflZLHn7y+QsvOnqqK9rNDZUXDDy9Yyi9A+VhXyuVkr++pjO7RjjOYldPKe0t+//+3d/1AwAAAAAATKbpX5Gq8NaLZuTbd/RkR9fwonnfhoF8f03vsF2+RePbG+uTMxaOPYb9tGMb0tJYk57+4SHolnt7qwroN63tzcatgxkqJdt3lXLPo/3Z0lEZ85OkpbEmH31d25iPubdbH+jL5o7xj2O+ZGlzTj3mhV//ZLpkafOwgF5krPHtexw+qzZvvXBGvvrjyos2rrmjJz++pzenHteYmiT3behPR3dxOHzrhTNy2KzxncW9q7ecz11bvJu9SEtDTX71spnj+jOmm7MWN+bK5S256LTmNBxCn3ivXNaSz13bWXGhxliOPaw+T24b/jnQN5B8dmVnPnxVW5oba/LY5qFcfU3Hc0cbNDfWpHefz7U71/XnqLn7f4HH/q4fAAAAAABgMh1COWlkLY01edelM/I311SGxb+7rjMvf0lTmht377y8pWBc8RkLG9NYxTNVX5csW9yYn+6zC/2W+3rz4avGjsV3ruuvOIu7SE1N8rFfbs8RBWd0j2bN+v6sWT/+McnHHVZfVUCf7PVPppef1pxPf6tj1JhXzfj2PX7lFTNz6wN9eXRT5XnTHT3l3P5g5TEBe1u4oD7/5ZLxh+3e/nK+cUvxuPwi7S2HZkCf316by89uyRXntEyJKQeTYVZrTV56clNuLThyYjQXnNpU+Pr7zs968t2f96ShbvdkhD0uPWP3mPtr7ugZdv/PrOzIz3+x+3H+n7fNHvcxFfu7fgAAAAAAgMk0vu2t09hrV7QWhrQtHaX867M7hR/aOJhNOyoL6vKTRj/7fNh9C8a8b9pRykMbK0Pq/qirTT7xlll51TQ9G3uqrr+9pSZnnzDylIFqx7fv0dSQfOrX52ThgvFfo7Lw8Pp86tfnPDfmnerV1yZ/8q7Z+bffPSzvedXMQzae73H52ePfAX752S057rDi56VcHh7Pj5xTl996XXuWLap8b/QPJj9e25cfr+1LeT+nr+/P+gEAAAAAACbTiyag19cl73118U7br9/Slae2DxWOb0+Ko/hIRortIz32eKw4qTFf+PC8XHrG1IrP1Zrq679klBHt1Y5v39ucmbW5+gNz88bzW1NbxTuttjZ5w8tac/UH5mbOzBfNW3NC1dYm553cVNXzfSg47+SmtLeMb+t3Q13yJ++aM2JE32PRgvr89fvnpr21Jhcvbc5JR038wJL9WT8AAAAAAMBkelGMcN/jkqXN+cYt3bn/iYFhtw8MJp//bmcefaZyl/jcttosPqL6p+nY+XVZMLsum3YMP2P4pnt7854RAn6RlsaazJ5Rm8Nn1+WcExtz3slNOfHI6fPrmo7rv/C05vzlfxaPcR/P+Pa9zWiqyYevassbzm/NTWv7csdDfXlq+1B27CqlnHLmzKzLEXPqcu6Sxlx0WvMhv2OaidVQl1x6Zkv+87bqx/YnyVFz6/J3H5mfa3/WnZvu7cu6pweyq7ecloaaLDqiPq9d0ZpXntmcumcvRKitSf70XXPyd9d1ZtXD/dnZVUpzY02OP6w+K5Y0jnt8+4GuHwAAAAAAYLLUlMv7O3wXAAAAAAAAAA4dL5JBxwAAAAAAAAAwOgEdAAAAAAAAACKgAwAAAAAAAEASAR0AAAAAAAAAkgjoAAAAAAAAAJBEQAcAAAAAAACAJAI6AAAAAAAAACQR0AEAAAAAAAAgiYAOAAAAAAAAAEkEdAAAAAAAAABIIqADAAAAAAAAQBIBHQAAAAAAAACSCOgAAAAAAAAAkERABwAAAAAAAIAkAjoAAAAAAAAAJBHQAQAAAAAAACCJgA4AAAAAAAAASQR0AAAAAAAAAEgioAMAAAAAAABAEgEdAAAAAAAAAJII6AAAAAAAAACQREAHAAAAAAAAgCQCOgAAAAAAAAAkEdABAAAAAAAAIImADgAAAAAAAABJBHQAAAAAAAAASCKgAwAAAAAAAEASAR0AAAAAAAAAkgjoAAAAAAAAAJBEQAcAAAAAAACAJAI6AAAAAAAAACQR0AEAAAAAAAAgiYAOAAAAAAAAAEkEdAAAAAAAAABIIqADAAAAAAAAQBIBHQAAAAAAAACSCOgAAAAAAAAAkERABwAAAAAAAIAkAjoAAAAAAAAAJBHQAQAAAAAAACCJgA4AAAAAAAAASQR0AAAAAAAAAEgioAMAAAAAAABAEgEdAAAAAAAAAJII6AAAAAAAAACQREAHAAAAAAAAgCQCOgAAAAAAAAAkEdABAAAAAAAAIImADgAAAAAAAABJBHQAAAAAAAAASCKgAwAAAAAAAEASAR0AAAAAAAAAkgjoAAAAAAAAAJBEQAcAAAAAAACAJAI6AAAAAAAAACQR0AEAAAAAAAAgiYAOAAAAAAAAAEkEdAAAAAAAAABIIqADAAAAAAAAQBIBHQAAAAAAAACSCOgAAAAAAAAAkERABwAAAAAAAIAkAjoAAAAAAAAAJBHQAQAAAAAAACCJgA4AAAAAAAAASQR0AAAAAAAAAEgioAMAAAAAAABAEgEdAAAAAAAAAJII6AAAAAAAAACQREAHAAAAAAAAgCQCOgAAAAAAAAAkEdABAAAAAAAAIImADgAAAAAAAABJBHQAAAAAAAAASCKgAwAAAAAAAEASAR0AAAAAAAAAkgjoAAAAAAAAAJBEQAcAAAAAAACAJAI6AAAAAAAAACQR0AEAAAAAAAAgiYAOAAAAAAAAAEkEdAAAAAAAAABIIqADAAAAAAAAQBIBHQAAAAAAAACSCOgAAAAAAAAAkERABwAAAAAAAIAkAjoAAAAAAAAAJBHQAQAAAAAAACCJgA4AAAAAAAAASQR0AAAAAAAAAEgioAMAAAAAAABAEgEdAAAAAAAAAJII6AAAAAAAAACQREAHAAAAAAAAgCQCOgAAAAAAAAAkEdABAAAAAAAAIImADgAAAAAAAABJBHQAAAAAAAAASCKgAwAAAAAAAEASAR0AAAAAAAAAkgjoAAAAAAAAAJBEQAcAAAAAAACAJAI6AAAAAAAAACQR0AEAAAAAAAAgiYAOAAAAAAAAAEkEdAAAAAAAAABIIqADAAAAAAAAQBIBHQAAAAAAAACSCOgAAAAAAAAAkERABwAAAAAAAIAkAjoAAAAAAAAAJBHQAQAAAAAAACCJgA4AAAAAAAAASQR0AAAAAAAAAEgioAMAAAAAAABAEgEdAAAAAAAAAJII6AAAAAAAAACQREAHAAAAAAAAgCQCOgAAAAAAAAAkEdABAAAAAAAAIImADgAAAAAAAABJBHQAAAAAAAAASCKgAwAAAAAAAEASAR0AAAAAAAAAkgjoAAAAAAAAAJBEQAcAAAAAAACAJAI6AAAAAAAAACQR0AEAAAAAAAAgiYAOAAAAAAAAAEkEdAAAAAAAAABIIqADAAAAAAAAQBIBHQAAAAAAAACSCOgAAAAAAAAAkERABwAAAAAAAIAkAjoAAAAAAAAAJBHQAQAAAAAAACCJgA4AAAAAAAAASQR0AAAAAAAAAEgioAMAAAAAAABAEgEdAAAAAAAAAJII6AAAAAAAAACQREAHAAAAAAAAgCQCOgAAAAAAAAAkEdABAAAAAAAAIImADgAAAAAAAABJBHQAAAAAAAAASCKgAwAAAAAAAEASAR0AAAAAAAAAkgjoAAAAAAAAAJBEQAcAAAAAAACAJAI6AAAAAAAAACQR0AEAAAAAAAAgiYAOAAAAAAAAAEkEdAAAAAAAAABIIqADAAAAAAAAQBIBHQAAAAAAAACSCOgAAAAAAAAAkERABwAAAAAAAIAkAjoAAAAAAAAAJBHQAQAAAAAAACCJgA4AAAAAAAAASQR0AAAAAAAAAEgioAMAAAAAAABAEgEdAAAAAAAAAJII6AAAAAAAAACQREAHAAAAAAAAgCQCOgAAAAAAAAAkEdABAAAAAAAAIImADgAAAAAAAABJBHQAAAAAAAAASCKgAwAAAAAAAEASAR0AAAAAAAAAkgjoAAAAAAAAAJBEQAcAAAAAAACAJAI6AAAAAAAAACQR0AEAAAAAAAAgiYAOAAAAAAAAAEkEdAAAAAAAAABIIqADAAAAAAAAQBIBHQAAAAAAAACSCOgAAAAAAAAAkERABwAAAAAAAIAkAjoAAAAAAAAAJBHQAQAAAAAAACCJgA4AAAAAAAAASQR0AAAAAAAAAEgioAMAAAAAAABAEgEdAAAAAAAAAJII6AAAAAAAAACQREAHAAAAAAAAgCQCOgAAAAAAAAAkEdABAAAAAAAAIImADgAAAAAAAABJBHQAAAAAAAAASCKgAwAAAAAAAEASAR0AAAAAAAAAkgjoAAAAAAAAAJBEQAcAAAAAAACAJAI6AAAAAAAAACQR0AEAAAAAAAAgiYAOAAAAAAAAAEkEdAAAAAAAAABIIqADAAAAAAAAQBIBHQAAAAAAAACSCOgAAAAAAAAAkERABwAAAAAAAIAkAjoAAAAAAAAAJBHQAQAAAAAAACCJgA4AAAAAAAAASQR0AAAAAAAAAEgioAMAAAAAAABAEgEdAAAAAAAAAJII6AAAAAAAAACQREAHAAAAAAAAgCQCOgAAAAAAAAAkEdABAAAAAAAAIImADgAAAAAAAABJBHQAAAAAAAAASCKgAwAAAAAAAEASAR0AAAAAAAAAkgjoAAAAAAAAAJBEQAcAAAAAAACAJAI6AAAAAAAAACQR0AEAAAAAAAAgiYAOAAAAAAAAAEkEdAAAAAAAAABIIqADAAAAAAAAQBIBHQAAAAAAAACSCOgAAAAAAAAAkERABwAAAAAAAIAkAjoAAAAAAAAAJBHQAQAAAAAAACCJgA4AAAAAAAAASQR0AAAAAAAAAEgioAMAAAAAAABAEgEdAAAAAAAAAJII6AAAAAAAAACQREAHAAAAAAAAgCQCOgAAAAAAAAAkEdABAAAAAAAAIImADgAAAAAAAABJBHQAAAAAAAAASCKgAwAAAAAAAEASAR0AAAAAAAAAkgjoAAAAAAAAAJBEQAcAAAAAAACAJAI6AAAAAAAAACQR0AEAAAAAAAAgiYD+f9izAwEAAAAAQftTL1IaAQAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAALuPG9AAAgAElEQVQAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACYPTsQAAAAABC0P/UipRGVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAADMnh0IAAAAAAjan3qR0ggAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAMfVPaoAAAwsSURBVAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAABuzw4EAAAAAATtT71IaQQAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUAl0AAAAAAAAAKgEOgAAAAAAAABUAh0AAAAAAAAAKoEOAAAAAAAAAJVABwAAAAAAAIBKoAMAAAAAAABAJdABAAAAAAAAoBLoAAAAAAAAAFAJdAAAAAAAAACoBDoAAAAAAAAAVAIdAAAAAAAAACqBDgAAAAAAAACVQAcAAAAAAACASqADAAAAAAAAQCXQAQAAAAAAAKAS6AAAAAAAAABQCXQAAAAAAAAAqAQ6AAAAAAAAAFQCHQAAAAAAAAAqgQ4AAAAAAAAAlUAHAAAAAAAAgEqgAwAAAAAAAEAl0AEAAAAAAACgEugAAAAAAAAAUNVjRE+WV2G+CwAAAABJRU5ErkJggg==","consoleMessages":[{"text":"class HydraSynth {\n\n            constructor ({\n                pb = null,\n                width = 1000,\n                height = 1000,\n                numSources = 4,\n                numOutputs = 4,\n                makeGlobal = true,\n                autoLoop = true,\n                detectAudio = false,\n                enableStreamCapture = false,\n                canvas,\n                precision = 'mediump'\n            } = {}) {\n\n                this.bpm = 60\n                this.pb = pb\n                this.width = width\n                this.height = height\n                this.time = 0\n                this.makeGlobal = makeGlobal\n                this.renderAll = false\n                this.detectAudio = detectAudio\n\n                // only allow valid precision options\n                let precisionOptions = ['lowp','mediump','highp']\n                let precisionValid = precisionOptions.includes(precision.toLowerCase())\n\n                this.precision = precisionValid ? precision.toLowerCase() : 'mediump'\n\n                if(!precisionValid){\n                console.warn('[hydra-synth warning]\\nConstructor was provided an invalid floating point precision value of \"' + precision + '\". Using default value of \"mediump\" instead.')\n                }\n\n                // boolean to store when to save screenshot\n                this.saveFrame = false\n\n                // if stream capture is enabled, this object contains the capture stream\n                this.captureStream = null\n\n                this._initCanvas(canvas)\n                this._initRegl()\n                this._initOutputs(numOutputs)\n                this._initSources(numSources)\n                this._generateGlslTransforms()\n\n                window.screencap = () => {\n                this.saveFrame = true\n                }\n\n                if (enableStreamCapture) {\n                this.captureStream = this.canvas.captureStream(25)\n\n                // to do: enable capture stream of specific sources and outputs\n                window.vidRecorder = new VidRecorder(this.captureStream)\n                }\n\n                if(detectAudio) this._initAudio()\n                //if(makeGlobal) {\n                window.mouse = mouse\n                window.time = this.time\n                window['render'] = this.render.bind(this)\n                //  window.bpm = this.bpm\n                window.bpm = this._setBpm.bind(this)\n            //  }\n                if(autoLoop) loop(this.tick.bind(this)).start()\n            }\n\n            getScreenImage(callback) {\n                this.imageCallback = callback\n                this.saveFrame = true\n            }\n\n            resize(width, height) {\n                console.log(width, height)\n                this.canvas = document.querySelector('foreignObject').querySelector('canvas');\n                this.canvas.width = width\n                this.canvas.height = height\n                this.width = width\n                this.height = height\n                this.regl.poll()\n                this.o.forEach((output) => {\n                output.resize(width, height)\n                })\n                this.s.forEach((source) => {\n                source.resize(width, height)\n                })\n            }\n            canvasToImage (callback) {\n                const a = document.createElement('a')\n                a.style.display = 'none'\n\n                let d = new Date()\n                a.download = `hydra-${d.getFullYear()}-${d.getMonth() + 1}-${d.getDate()}-${d.getHours()}.${d.getMinutes()}.${d.getSeconds()}.png`\n                document.body.appendChild(a)\n                var self = this\n                this.canvas.toBlob( (blob) => {\n                //  var url = window.URL.createObjectURL(blob)\n\n                    if(self.imageCallback){\n                    self.imageCallback(blob)\n                    delete self.imageCallback\n                    } else {\n                    a.href = URL.createObjectURL(blob)\n                    console.log(a.href)\n                    a.click()\n                    }\n                }, 'image/png')\n                setTimeout(() => {\n                document.body.removeChild(a);\n                window.URL.revokeObjectURL(a.href);\n                }, 300);\n            }\n\n            _initAudio () {\n                this.audio = new Audio({\n                numBins: 4\n                })\n                if(this.makeGlobal) window.a = this.audio\n            }\n            // create main output canvas and add to screen\n            _initCanvas (canvas) {\n                if (canvas) {\n                this.canvas = canvas\n                this.width = canvas.width\n                this.height = canvas.height\n                } else {\n                this.canvas = document.createElement('canvas')\n                this.canvas.width = this.width\n                this.canvas.height = this.height\n                this.canvas.style.width = '100%'\n                this.canvas.style.height = '100%'\n                document.body.appendChild(this.canvas)\n                }\n            }\n\n            _initRegl () {\n                this.regl = require('regl')({\n                canvas: this.canvas,\n                pixelRatio: 1,\n                extensions: [\n                    'oes_texture_half_float',\n                    'oes_texture_half_float_linear'\n                ],\n                optionalExtensions: [\n                    'oes_texture_float',\n                    'oes_texture_float_linear'\n                ]})\n\n                // This clears the color buffer to black and the depth buffer to 1\n                this.regl.clear({\n                color: [0, 0, 0, 1]\n                })\n\n                this.renderAll = this.regl({\n                frag: `\n                precision ${this.precision} float;\n                varying vec2 uv;\n                uniform sampler2D tex0;\n                uniform sampler2D tex1;\n                uniform sampler2D tex2;\n                uniform sampler2D tex3;\n\n                void main () {\n                    vec2 st = vec2(1.0 - uv.x, uv.y);\n                    st*= vec2(2);\n                    vec2 q = floor(st).xy*(vec2(2.0, 1.0));\n                    int quad = int(q.x) + int(q.y);\n                    st.x += step(1., mod(st.y,2.0));\n                    st.y += step(1., mod(st.x,2.0));\n                    st = fract(st);\n                    if(quad==0){\n                    gl_FragColor = texture2D(tex0, st);\n                    } else if(quad==1){\n                    gl_FragColor = texture2D(tex1, st);\n                    } else if (quad==2){\n                    gl_FragColor = texture2D(tex2, st);\n                    } else {\n                    gl_FragColor = texture2D(tex3, st);\n                    }\n\n                }\n                `,\n                vert: `\n                precision ${this.precision} float;\n                attribute vec2 position;\n                varying vec2 uv;\n\n                void main () {\n                    uv = position;\n                    gl_Position = vec4(1.0 - 2.0 * position, 0, 1);\n                }`,\n                attributes: {\n                    position: [\n                    [-2, 0],\n                    [0, -2],\n                    [2, 2]\n                    ]\n                },\n                uniforms: {\n                    tex0: this.regl.prop('tex0'),\n                    tex1: this.regl.prop('tex1'),\n                    tex2: this.regl.prop('tex2'),\n                    tex3: this.regl.prop('tex3')\n                },\n                count: 3,\n                depth: { enable: false }\n                })\n\n                this.renderFbo = this.regl({\n                frag: `\n                precision ${this.precision} float;\n                varying vec2 uv;\n                uniform vec2 resolution;\n                uniform sampler2D tex0;\n\n                void main () {\n                    gl_FragColor = texture2D(tex0, vec2(1.0 - uv.x, uv.y));\n                }\n                `,\n                vert: `\n                precision ${this.precision} float;\n                attribute vec2 position;\n                varying vec2 uv;\n\n                void main () {\n                    uv = position;\n                    gl_Position = vec4(1.0 - 2.0 * position, 0, 1);\n                }`,\n                attributes: {\n                    position: [\n                    [-2, 0],\n                    [0, -2],\n                    [2, 2]\n                    ]\n                },\n                uniforms: {\n                    tex0: this.regl.prop('tex0'),\n                    resolution: this.regl.prop('resolution')\n                },\n                count: 3,\n                depth: { enable: false }\n                })\n            }\n\n            _initOutputs (numOutputs) {\n                const self = this\n                this.o = (Array(numOutputs)).fill().map((el, index) => {\n                var o = new Output({\n                    regl: this.regl,\n                    width: this.width,\n                    height: this.height,\n                    precision: this.precision\n                })\n                o.render()\n                o.id = index\n                if (self.makeGlobal) window['o' + index] = o\n                return o\n                })\n\n                // set default output\n                this.output = this.o[0]\n            }\n\n            _initSources (numSources) {\n                this.s = []\n                for(var i = 0; i < numSources; i++) {\n                this.createSource()\n                }\n            }\n\n            _setBpm(bpm) {\n                this.bpm = bpm\n            }\n\n            createSource () {\n                let s = new Source({regl: this.regl, pb: this.pb, width: this.width, height: this.height})\n                if(this.makeGlobal) {\n                window['s' + this.s.length] = s\n                }\n                this.s.push(s)\n                return s\n            }\n\n            _generateGlslTransforms () {\n                const self = this\n                const gen = new GeneratorFactory(this.o[0], this.precision)\n                window.generator = gen\n                Object.keys(gen.functions).forEach((key)=>{\n                self[key] = gen.functions[key]\n                if(self.makeGlobal === true) {\n                    window[key] = gen.functions[key]\n                }\n                })\n            }\n\n            render (output) {\n                if (output) {\n                this.output = output\n                this.isRenderingAll = false\n                } else {\n                this.isRenderingAll = true\n                }\n            }\n\n            tick (dt, uniforms) {\n\n            //  if(self.detectAudio === true) self.fft = self.audio.frequencies()\n            // this.regl.frame(function () {\n                this.time += dt * 0.001\n                // console.log(this.time)\n                // this.regl.clear({\n                //   color: [0, 0, 0, 1]\n                // })\n                window.time = this.time\n                if(this.detectAudio === true) this.audio.tick()\n                for (let i = 0; i < this.s.length; i++) {\n                this.s[i].tick(this.time)\n                }\n\n                for (let i = 0; i < this.o.length; i++) {\n                //  console.log('WIDTH', this.canvas.width, this.o[0].getCurrent())\n                this.o[i].tick({\n                    time: this.time,\n                    mouse: mouse,\n                    bpm: this.bpm,\n                    resolution: [this.canvas.width, this.canvas.height]\n                })\n                }\n\n                // console.log(\"looping\", self.o[0].fbo)\n                if (this.isRenderingAll) {\n                this.renderAll({\n                    tex0: this.o[0].getCurrent(),\n                    tex1: this.o[1].getCurrent(),\n                    tex2: this.o[2].getCurrent(),\n                    tex3: this.o[3].getCurrent(),\n                    resolution: [this.canvas.width, this.canvas.height]\n                })\n                } else {\n                //  console.log('out', self.output.id)\n                this.renderFbo({\n                    tex0: this.output.getCurrent(),\n                    resolution: [this.canvas.width, this.canvas.height]\n                })\n                }\n                if(this.saveFrame === true) {\n                this.canvasToImage()\n                this.saveFrame = false\n                }\n            }\n\n\n            }","level":"log","timestamp":1723853247750},{"text":"Failed to load resource: net::ERR_NAME_NOT_RESOLVED","level":"error","timestamp":1723853248177},{"text":"[.WebGL-0x2e9c00385500]GL Driver Message (OpenGL, Performance, GL_CLOSE_PATH_NV, High): GPU stall due to ReadPixels","level":"warning","timestamp":1723853248809},{"text":"[.WebGL-0x2e9c00385500]GL Driver Message (OpenGL, Performance, GL_CLOSE_PATH_NV, High): GPU stall due to ReadPixels","level":"warning","timestamp":1723853248814},{"text":"[.WebGL-0x2e9c00385500]GL Driver Message (OpenGL, Performance, GL_CLOSE_PATH_NV, High): GPU stall due to ReadPixels","level":"warning","timestamp":1723853248814},{"text":"[.WebGL-0x2e9c00385500]GL Driver Message (OpenGL, Performance, GL_CLOSE_PATH_NV, High): GPU stall due to ReadPixels (this message will no longer repeat)","level":"warning","timestamp":1723853249271}],"screenshotDelay":10000},"timestamp":1723853246860},"created_at":"2024-08-17T00:07:40.903+00:00","updated_at":"2024-08-17T00:07:40.904+00:00"}