data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAKAAAAB4CAYAAAB1ovlvAAAAAXNSR0IArs4c6QAAIABJREFUeF7svQe0ZGd5JbpPPqdy1c0d1a2AyOOAn8F+Bg8iOIABGyFAFiCJVgATJCQ1ksgCiSAwMpjwHGCwjYcx9owftgljDNgwWJZQAuXQ8ebKVSeHWfv77221eLDsEX27+6E+a9XqcKtOnVtn1xf3tz+tKIoCJ47j9hO4aTnC7u+08c2DwTG/xuueMYFLf6ZxRK9DWwfgN776Nbz2rFfAMnVoKGAgh6EDyDNoMACY0AwTwzhGlGYI0wxpDmiFDiK40DRouoasyKHrOjRdR5pr8nfTMGEYOvI8B6DJ+YpCQ5an0HUgzzNkWSq/mMbzrD0O/zffxchzeZ+iyJEXKXLk8neAP9XXXqc+H36veB4j19R5+W/+Zmkm16lr6vl8X/6+pq7BMg3omnr+7+1+C96w+7Ij+mE/mpNt+8weLIyzR/PSDXnNHz97GuecXj1i5z4EwPvuuhsvfOazgCKXG6Ihh6Vra//mTTEB3cA4SgR8AkCBEsEJ5GsAzIsChaaAlBc6TNMU0BGIOgGarQNaFwCq+50LCA8HzvpveAiQfK8CKBTcFQiRKQBqOqAZ8p4EEJ+T5+p5loBPgYrfpyLLiU5eoDy/4JeCXxqtgC3Xqq79HR+8FufsOu+IfdCP5kSfvXuI8/9x+dG8dMNec3Ldwt1nbzti5/8hAP7fAr51i2EYBgoBhg5dMxAlGfw4RZIXYv0IOl2sDy0gcaDLn2tnADQTpklrJxgUcBCAYgU1Q0CnaWuAAoG/9tpDQOPzlM3UaLFoOeXsCkTqWglA/o0WDQJ0ef91C8gvFC9g/ZHRahLABfJCWVN5tVbAOMz6vvtD78erLjj/iH3Qj+ZE776xg/f8W/fQS8/Y6uF/7g8QXrwTz/8fC/jGwQAn1UzMlkx8dzHEUyZsRHmBe7oJXryzjH/Y6yMrgF+YcfDthVDO84Xnz+Lib6xgc8XAbasxnjppy5/P317Cl/f6qNs6tldNLAUZbF1D2dJxdzd+xOUnrzv50fw6P/I1D7vgr30Vu846E5ZlCQoIBt0wkKapuCviMFizfrzZvG1y6wQsCmAEIP02LYjYmzWrJP/W6Gpz5FkGXTcEKOKSNWXNCCT1OmWt1l2o/I+8XpzwmkXmsxQACRx59VokK+6fXwy6Wf49jQV8tHzyfmsA5PMVAGmRlRPnl4HhAo83X3kFLrnyiiP2QT+aEx0OwLc/rSm/0yjOce0zJiQm5OOZmz059Y1LkQCNx729BGc/ripAY8xmGxo+d/cQ193cBcHD8/Ij/ZVNHlxDw1Xf7YDnv3E5wrlPqOKbB0PcsRrh5acpV/uKryzh1tXo0K+wIQD81te+igtfcSbiNINhMmYz1wBGN1UgSTJEcSKgohfLct48xn2FAFVjjEerY9LR8Z4rF0yLR0vKD0/FgOuAEruGLI+VlVt7GIa15q7XgbxmrXJaLMAmwAk8Wq6cD6BgHClALmBb1pp1U4CmK87SFGmSKquYq9iQX5600JEmMRhp8KoJZoKWx6VX7salV+1+NLg5Yq/5YQC2oxzfb8f4ym/N4T03dmEQRJs93NdLsLNuYSXI0HR0/M2DY7zk5DKetdmT341A/dq+AB+6pXcIgLSsb3taEyVTh5/meFzTRjvMsOuJNfzpXUMsjFNc8jMNsaaXfXsV/zyvLCiPDQHg/XffhZf86i8jThjcE1gGClo+Wgre/LSQn4HpSQGIJ+Vto6HTNWgGASd3ce0yNRS6KTdekgGDseLDCbe8RiwegQJJUkwB7zrwFFAl1ssLFasxEmUsyZiNicNaciHWVVdW03FseR7Bzn8nDBUIwiQVIOZMQtS3AEnBMGANmOLEaVXV+15z/Qdw7oW7jhiYHs2JDgcgr+vqpzUFHK9+PK1UcChhesasi2tv7uK8J9Sw6Kf4+z2+PPdb86GES8/e4h1y5QQd/3/depoa0I9z/OoWZQ3/r1lXPgO6dD7vCU0Ln/j+4BGXv2EAPPM5vyIgEwsnbk1HWhTIskJcMDGQr1s+3q5CY16i3OjaTVVZKv+tQTcdpGkiF08LSACqDJSxowbDNCR/0A1NwGdZpsR6tFQZXWaWqpiP58szmLqK0yxNg2sYqLkudInlciQEkmHAcT0JC5I0Q5YXCOMURZbJc/woQpKkEr/yd+TNIbBVBAmxqPJrALjmwx/Ea44jAD4aAD+a18yUDPBx++oj477Dz7UhAPyXf/wa3viqlyPmzaJ7yoE0LxBlzDQZAzJmozsjmJhxMkEBDJOWRl0ewSMpBa0mkwbDQpYlKtMlSPMcpsW8WYepG2L1dIslG0A3iR8DtmGL26ZrJHhNS4UAWsGyUA6zKFC2bTRLJTS8MnReYxohzlLolgXbq8iXiAlTVmgIB31JjJIihR/HGEcZ0gyIUyZSBGcOQ2MqBUHluv2+5KrduOTqtz6ae3jEXkMLSCv0K5vcI3bOn/REdN0bAsBv/+NX8aZzzkKumWK94izHOIgQpzkyWsJcZaS6rlwc7yoBl+ZMKlQNcP3mCUB1llnotqNDLlYAZpuwTQuWwQJJjoJ5BQopySRpAoNJQaFiPBrXsmMLQIj2JA9Rc0soOw5alQoalQpsumSDgM8RJgnGQYyY8WqaSQhR5CbiLEYQhwjiGMMoR5IWCCKCNBZLrABO66riPx5MQAjCY3kQgDze/gutY3kZj3hv6+MPbAwAH7jnLrzyuc+Um1ewRAIDQZhI5psWKmBXNTsFPFVKU9mpuDCJ6SAuUllDBvqsx9GZFzBMXeIzlmVo/UwmLrqq2dFlZ3mOKI2hF7EE17ZhwDMMlGwbjknQmiiMDJ7twDUtccEli0BmfZG1xxxhnIjL5ZeGf6Z5jiQz1bkJQgI0yhAmOYIwRRDFa3VAFT8SgGvBxHETAx4OwM9//vM45ZRT4DgOKpUKdu7cedSBuaEAfM0Ln4OxH4mFSHMdcarLTaIrk7BfyiYPZ6wEmXQ5pAAMuLYFhy5WKr4EFjNMDbZtoVwtwbZMFWDlCrCML2l9lKUkYFK4TgHPc1C2HVQ9D2WCzDThWCYKFovX3o9fkTxJwCCa3Yw0jcVyh3EmsV2SFRiMRohiWkD+X4qoyDAKUnlOEOUIaQ2TWADKDJ4HvzQ8rv3wh3DecRADrgPwxhtvxA033ICPfexjuPLKK/GSl7wEZ5xxxk8PAL/7ra9j90WvQac7RJppiFINMR+JqiKrbDiThEG5YpVYeKYt4GMby3Ms1MqOCujZKssiWJaBWq2KWr0qr4uiSF5HSyMZd6FJwqD+nmNmrgbXtlFxPZRdFy5LQrSuzGiTRLozKolhSSVDISWWROJFzTAwChKJYaM4xWA4wihgmJAizhLERY7+KEbCmmbM9weCIJD2IUEoZe21OOLyq94KPo7lcbgLfte73oXTTjsNL3/5y3HHHXdgaWnppwuAt970XVz/7t248877MA4SDP0Eacabp8PQDOgFVFHaYB0N4kodx0KdVs+2UPEcVDwbnhg5trU0lEsGXNdBqeShUi2LJYzj8FAbjDDKNQMGY0LLgW6YML01S5QTWDEsdmMIDbbw0hx5Gqt6Ir8MBEyaqG5Mxi8LEw2VxTMJGQcBOu0AYRwhyhJJUkYR65n8WYYgpKVM5cEkhi57vVBE8F1x9ZXHEn9SMF63gPPz87j33nvxrGc9C8vLyxiNRj9dLvjg/j1425t3Yf+BRSyvdNHpjhAndL3MEtgEU0kFtAymAdg2UPZs1C0TJdtBxabbtFB1TdDTsqFSKhmwHRuu56JULsF0LEk2pEgjdT9LdUt0Fr5t6TVrhhSABGRJzCRBteLYsUCSiBVmWSVjPY+xI+uMAkhVcmGyxOw9SXKM/ADjqMDI9zEOA/DCw5TWL4Mv8S3dMN13JgX4tHgYgO//yPU4/8ILjhsAHtMLOezNNywGFABeegE6nQFW2z0cPLgC32dCYqpm/nptzyjgWBrKnoaKo6FlW6g5LmpOCSXDQL1kwXF12K4Gz7Ng2BYsm+URF5opkRsKQ4NuWzBNGwZduG5J4hPHKTQ9I2MAGZMhxmZ0zazXMTtmphwnUtyWlh7YyUjEGvK5rFcyY1edGmDshxjFBQbjEfqjIWCbSAtTkpCRHyFg0hJmSBK64xxxmkq5iMd1AsALj+l9f0xlwbfe/K+4/pq3IgxTLC6tYv+BZfg+Xa6jGq1rgbrrGnBtHRWXxeACm0oWyo6nyiOWiXrZhmFrcD0DJc+S3jBBaDq2tOwy3mDLhG4ReCwcV6TOmGa0YDEciwXotZ5xAYRBIBkq359lmX6/r/rEBQ2agTRWBVMpcxcaoiSXLg47NX4QYnkQYjgeYhj4MNglsUvwgxiDYbAGwAIJs+aI2fPDALz8qitx+dVXHVcAvPjii/Ha174Wb3vb2/DEJz4R73//+4/69W2YBfz+bTfhEx9+Dx58cK9YwMWlHuKYfV5b1eXIFjGBqmeg6tmYKHuoOQ62ViyUHAclx4KpsdBcQGcmLAXkFJbjQDct2K4Ht1yC5XrIWLizWJKxkEPVHWmx6AqjUUcya3ZFyNGLAl+RGBjz5Zq4XmnpkUOYJigytg7Vd4SFcXZQpG8dxdL1GKYG+sM+OsMe6PxTzRHA+WEGP0gxHMUCfsaF7HWLqwdw2dVX4rLjCIDveMc7cP/990sGPDMzI+D74Ac/+NMDwPkDe3DN1W9At93HgYOL2Ld/EWHI1pkpbBhL4j4NrSpjPRMtz0WrVMKEY8CzNDimJp0KzchhuTYczxF2iWU7MAg22xXwWY7LDAaFpVywIjesAzBHkUaCJMPQpB4YR4G04Wjh2ENhyYX/JviSOECeJeJ6CSIike6abpmumtn1ONUxCgN0B12EjB01W+qE4yDFyM8Q+AmiOBcXHCUEIOFc4H0fuR7nHkcx4DnnnCOWnwC86qqr8Nd//ddHHXx8ww2zgATg2y/fhSwpsLTcwX3378VwRAqOJWBwbMZ9OmaaJdRMUx4Nu4ymazG0gq4nEvuRAWp5HpySJ6021ykJ+DTTlvjMcjyxkAShtPNIeBAAKgKELgwbglnRo9KYLngt4WCGmyUCuiQJkcQ+0iRSxIjcUAkJe8NZKn9nEjPKdNWCC3yMohCZZiFKC/hBht4gRhBkiONcWcCEGXYmSdJ7P3w9zr3o+ElCHnroIezduxeTk5P44he/KOCjVTzax4YB8Labv4vr33cFKpUG9u2bx30P7MNgEAAaC8EaXEeD52rYPlkB+RJVGCjrDmbrVehGDtsBvLIBo2RDtxkHsj6ooVpripVjBMcM1fZKwphhFqxcr7JtkgmbFjTdlkK2yURFB7LUFxZLHIaIWLPLYgFhltL6xQiDMQzNhl6YYvXMtZ4zY0O+pp+aAqxx6GMcR0g1WwrtIz9Frx8LEJkxMwaM4hgJ+YMA3nL1lXjL246vGPBog+1Hvd+GAfB7N/4z3vf212NuZis6nSH2HVjC/oUVRDrbYEDF1tGwLOxoVGDmKTwtR8WzMNusSpbreK6UWXSHsyM6LNuFXaoLI1dcsONIFsy5EuGeSOmFMxhCp5GEhBxEdksYz6VktOQZktBHkdPqhcIdJMAILrGMWYIi5c+AIi2EmBCPVWE5IWjTBN0uZ1cS6QenWg4/psvNMBolGAxydHwfAWuGEYvhOZiHqBhwNy6/+vjpBbMQLS7QsvCMZzxD6oE/6mi329IteeYzn/ljn/OTAHnDALjvoftwyYW/g1Z9ElmuY2m5h7vv3wvaA3Y5WN+bKnmYsg1UbV0AWHZMTDQrcFwbtqtAxmzXsEyJ/exyQ9H22T6zbQGfMAeEuq8L4OiGVfVX/ZvxnVhGgpA9ZC0XoCFnssD4MEOexEgiH1kcyc/ShOyZHHpWICEAc9KvyAXMMBozIUkQJiFiGWTS4YexhBcE50gICjGGYSJdn7XZKFz74Q/gvIuOPR+Qn8w6GeGKK66Q5OMb3/gGbrrpJmENMSF5znOeg69//esYDAaSHROcBOxGuOgNBeClF5+FerkBy3QQxQVuuuUO+EkqLOTJioeZWgUtS0fF1FEyOUmWozlRge06ku2yzGG7JQEg63uWV4POv7PkwqIzfSvdMQmka4Mkwv+TUrMCoMyMEKQEp87/YxeE2W6ENA0VTSsKEYdjJJKgkGhKAGYCwNQPBXxCRi1yjJlkRBGCKBTmDmmsLDUNxjFWOz7GTFTiBMMwlmQkTVV/+n0f/uBx1QsmENcBuG4NBZxvfzte+tKX4rnPfS56vR4uv/xy6Rm/4Q1v+EkM3Y997YYB8JZ/+zaue9claJQbcGwPw1GIO75/F9rDMeolFzO1MiarZcw6Fmw9h61lMLQMrdkGDBIGHBemZcEpV5VBMyyYbhnlak2SC42ZLy0faVoZi8aZZKy0gMyyDWbbQt1XgDXosjk3kkXSfsuSQOK+cEzgRYjCMbIkgs6iNRnbGS1gjiJmT5lZcSYttv4wQMxRUlpLaEgStuxy9IcR2r0RxnmBgOWaQAGQ1lJiwCvfisuOo14wr2n37t247rrrxLqtHwQgrSKTlLm5Obzzne/El7/8ZTz/+c///xcAv3/Hzfj4DddI8OVYDpIow74DC7j9Bz9Aq1zCpkYdk5Uypj0TRkGrmMFzLbRmGpJAmHS5rge7VBXAMfPl3+mKyZLOSfFnVsFGsky0rdG5YMjoJksyMvxEnuCai2Z5ZThsr8V6yt1mSagm9Uh0ZSzqWFI+IavFZMdGiA0JAiYtaQzfDzAcDjEe+3AdD3lqw/djdPtjtIcjcNybo6YDP1JULvbqOBPy1t249Mrjh4ywIWh6FCfdMAu4uDSPD7x/N6JxAI0lkVzDwuIKbr/zByAFda5ew2ytioajo2RpYJOjXHLgli3YjisW0C1XYTklcbeG6cAqVcUqkqVSML5josHZW/Zc12Y2ZLBJhsRJ99KgWbbEh7SgtIBhMEKRkyeYQmO8F4fIUuWG0yiQbFko+VkCgyW8NBc37YckoEZSVmHjftAfwLZcGJqHgBnwwMfyYICwoAXM0A8ijP0YCSn8OXDNhz6A1+w6vmLAR4GXI/6SDQXgR254N9I4QU7C5jjAeOTj5ltvhZ4kUm6ZrldRdwxUHRM1j9Qrut0CJnu9bgleuQbLLUtvlwBi28tiSYblFbpglpLJVOCgUcqaHl3xGgFgbSzOsFxFUGA3xGZtL5Y6IDNhpCy7sPa3BsQkkQ4Ni8f8Oen12Zo1pNv1Ax9aliMmszumVUxhGSXEcYb+0MficCjMabpkcgT5fyS1kpr17g+8H6/a9dojfgP/T054eC+Y7bdf//Vfx1e/+tVHJBc333yzWPgflxWvvx9dMx+33nqruGx6nYsuukgyah6HJy3f/OY3Yds2/vZv/xZTU1O45JJLDl32hgHwrrvvwB/96R+gVCoh9EMMByMB4be++c9olF3MNKpoVsqYKtnSCal7Nmous95UYjYC0C1VYXs14fiR2p+bZMGUVQxIK1jo0ElIkOk0RTIQWrxBl83EhY/y2hQdB5XU1FycxIjCQMA4HAzFhYsYx9r8r5RjpD6YIvDHYhFZoJY+8jCShIegY1xr2WVp03VHPpZHPpKArGgo/uA4QN9XGixv2H053rj78v8TvBzx5x4OQLbdaMk5Nvobv/Eb+Lu/+zt5v1tuuQVPfepT8aQnPQl33nmnJF/MiF3XxRe+8AXpnJBHyARlHYB79uzBi170IgEd+ZAE5S/+4i8qZnqW4bvf/S4+85nPCO2LYHzzm9+88QC84we34mOf+hBOO/VUsXyD7gD+aIyvf/0b8AwddddCteTitM0zqHkO6o4JPU9hm4nEf3S5Sa6hXJ2QREKzHBSWI5N0tICmpehW5XL5EKVa1AnWJuUIUN3Q4Xl1RZpmDTCJMfIHkkSQiyjMaNtSighiRZnhsj7IeRK65AgmyzdxhNhXyUoc+GpIKeYwkiYZMNt2oyDGytCHPxiL62fyzRZdm6wZAK+//DL83uXHVhvmhwHI2t6ZZ56J3//938dtt90m17l161bs379f/s6yC61bGIZ48pOfLF9kgos/37Zt2yMA+PSnPx2f/OQnpaRDev+pp56K66+/XvrLBOFb3/pW+dkPW9YNs4CLy/O49vp3oNVoCknAH/rod3u4+abvwR8OULEMtGplbJtsoVl20fBs2FoBx8xgWiZsxwMMB6Zdhmk5MhGXW+6aCgItnA1NV9QsWjyl5wJka2OVMhsiFm2tNkjiAPl/wlbmZF4By+TQuRqjBGt6jAXZE07Jco6Eok+ac07AhoHKliNf3G8oZRZFu5KpuDjDysBHQCtIcHLuOSvQG4/FBV993bU4+/xjqw1zOAC/853viLv8yle+Il6KVo5/Pu1pTxOyxvT0tLToCFIerA82Gg18+tOfluyYVpBgWlxcxKc+9alDgP3zP/9zITnwdbR266+nVSXIjyoAP/5HHxaKkyhHFTpWlldw+623Y9TrAWmCuYkGtkw2UfcciQOrDmdAMmFHW7YHr1yHbnmSFROAsBwBsxSi2ful6oEMqDNxUHIdLJeokglVF1SWrASJOOzE2WGSFkwlmaGbQk5IkkjKMyhiRUogAEliYDzHORB/LOUaxyIDm8+nBUwxHIaIkgJpyqGkRAiraZQiTwqEUYIoy9EbjeV6rrz2WrzyOALgEffvj/KEG2YB73vwHnz+bz4r/VPHdmU4otNu4+Ybb5abyZLHTKuBk2enUOKch2Oi4pBKn0jR2XHL8EpVGHZpLYmwoNuOsoYyOqm6IEoTZm3IfW3Og/U6ts9YiGYsuN6WE76g7a0BUhEXBoOukBGYGQPsgoRiBel26ZIHq6sSB9L6VTxPFa7JNWT3QziAqtbnjwOEUQjHcBFHTFAoO5djpdeXW3PRZW/BxZcdPy6Y10SXyIMucvv27TIhd7SPDQPg/Q/dg7/875+T4DVPcyQRA/oAt37vFnRWV5GGPrbPzaGq52iUS5iqVVB1bVgl6u2xvMJuSAlupakoXAScCP0orUCCj6kDs2At16HnSkmLWbJ0LvhJikgL9QUNWOykMG4kX5CMaOkf0wXHiCMfYTBAFI4wGvfE7UajkQTa8/P7JXZkcB3HESaqTek3axqHVSyMfVLw1TRcnoYwOX4qJZhIhvF7/lju6a5LLsUFl156tO/vI97vcBfMjPQ973kPLrjgAkxMTAgd63Of+9xRv74NA+DyyhI++Zk/kGY32cZFViCOYjz44APYt+chtJcXsWPLZjRcBzXXxmStIkD0SiyzKFUDqQV6FbF6uu6gIJuaUh1rJRYRsTTIL+Topi1tuvXCNDsZTD4SLZE40DJsqdutaa1JUsJnxFRBiAP4owH8YQ+jQQ+hHyAYjtHpdNAf9BFHEVIOGsURbN2WOWSRmGNYoLHdp6Q/yD0kZYwUf9L3aQE5jM8Y8Ir3XIOzXvOao36DD3/DwwH4a7/2a5JcvPe975WkjNaQWe3RPjYUgJ/+7B8K04RgsAwKCyVYWlrE/n17cGDfHmydm0WrUkbNc9GslNCqVuF5HkxLh20r1QN2GzhgZBgONKsiABMpN9LqadmkLujAoHv2HLnZIhqUpDR+iIpI1ApM3YFG2QQhFnDskglFiKE/xmA0RLfXxfz+/fD7Q0RBBH/kq+5HpFSc1NuRwqoK1Vmay0gpp+9U58UUxVXd1ASsZEMzDuQYAlt7V7z73Tjr1a8+2vf3x1rAv/qrvzqU3X72s58VEJL1crSPDQPgAw/dh//2P/4CSwuLcB1HAEhLwhmMfXsfwsrSImYnJzFVq6LsOlITbJTLsB1Fn3dJTKXshs3M14TJroNVFtCpoTW6VxO1al2K0jpnRGy20Qh4zvfmMvqZJGM6agFfLqJI6+ALJD5dbK+iNxhg/8F57N27D0kQiewuM2BV2E4V+HR+KWwpZrOEo1S6yIO1RFnApUqDqHmpvjEByKGo4Uj1gne96U244LD619G+0Xy/x9RQ0gMP3Ysv/Pe/wIP336/o77ohWntRGGJ5cRGri4syozvTbKJSKmGy0ZCSzXjYUyQEW8lu2LYjsZtXIiuaRWUlZESraJsObMuGZlswSp5YwEBYyOxkUA8G0KnEwFndiIXkMXqdtnwJVpdXMOgNcP/+fSKx4VMyhH1rxopUxSIFjAwauXa29QpEYQTNUWCUeXOZJVbzJdQJdFgqAgevGJ9ymD3DykpPAfDNl+CCS46fGPBYfAF+1HtumAVcWl7AJz9zA3qdDoaDgejolb2SBPOjwRCd5RVJXRuVKuqVCmqlMsqlEjorqyr+sxyJ16j/QovImZASXbTribtjZl32yhJj6hzH5HxIxUNhrs0by6QbWxYEH9uAA/R7bQz6PbRX21haXEKvPcAoCkRqg1N1luWiVW9I4sT3ldnlJFkDWyGxIXUSmAOxnZcR1P5INAEZXjABocAmJT/4JI5nijJEmuEt73w3fuecVx3T+/7DFnBdG+bnf/7npWb377XfNuLiNxSAH/rYNQjGPsajkXRBaNUYa+ScMiPRM8kEeASVaznodjroLHckoeAjCGJxeZpMx+lwKyWxliV2TqoVTE00UKmU4Hk1OF4dbr0Co+SqGqGSy5c+dBSN0e+vYs/ee8UCdlY7WF3pwNBKVKgUcJcrZTiGiVatDptxaKms4r04kT9pTTnATmEl+mSWaSJ/gHA0kNJMEiv2C0WNmBFTPYEjA8NBIK2737vybXjxK8/eiHv4Hz7n4QA8XBuGfD8W5jeCcPrvXdyGAfAHd9+OT/7JR2XuguAbj8ZiSWi90ihBFlITX0PVK4t7pmumVYqGjK1M5GttLtbmCrA0U8h0XJlF67KHqYkaJica2LplFq7TQLk6CbdWgVOvKIlfcZt0j2yXDbG6egAP7bkXywvz8H0SUTVUK5NC+yfILUNDEcfC1NG8EkxaVxbRM86fmwJOkzxDsySAi0MfSThCHgUiZMRkhfT8OAmFtED1BM6KhKESqTz7wovxuxe97t+7Hxv/7zZHAAAgAElEQVT68x+lDVOr1fAnf/InkvH/0z/904a+/1F1wbfc9m+47sPvlBhNyAj9ofRJZ2dmpVsQhTFkAlfTEQUhguEIcRDAhHKryg060utlTMdSSRwNEAahTKlRzqNRq0hLqGRX0KxNojE9gebmaYAilRbJqhqMhElDhF53GQ89dB+63Y6c13NKcDQXK+15KSD7IalW/Ip4GIyH6A77MlRE8NXKFRE3ysIYk/WmaNKUXBce9UQoZMl6o8bMOBDaFpMXP2DCNUC/r3rBr7jwYrzywuMHgIdrw/D6flSf9migccMs4J69D+LNl1+AZquFhDMSvSH6nb4A0uUsLy1TGoul8sdjhCMfep6j6tbheRU0GnU06g3RgGHQz/bYeNxGQLD6PvzRSCxUs9lEs9pCs9LCxOwUJjfPwCxRsUBR9c2cbJkEQdAXAIY+B9M5G2JAS020OysIo0AGnzhxl6YaFpaWse/gARlEIrhmJqcwOzkt8yGdlWV4/GKUPAkDapWyah3K8FOIMIgEuGM+t9MVFhABedGVV+MFL3/l0binP/Y9HlNZsADwkl2YmZmVOmC/10evy3gpkazWcV2RzqBfZjyYBCFmW5No1Vsiv0bg1mt1UcMiYAiS7nhVWl58jIc+0piMFhuu6aDqVjA1NYkZuuRqCWbJQW7psApDmM/sdAx6bVFG4LhlHCbw+5HUAPklKFeqOO1xp6PT7eP7P7gTt91xh8x8sGe8dfNmnLztJISDER568F5xwSwRzUxPYWKiKclTqUzyRCY1xDCMMBqMsbiwiNFoLL//BW+9Cr95AoD/ny/HhlnAW265Eddd9w7MzcwJjb3XH2A08jFmU591QduWepkwmdMMJcPC3OQ0JiZacD0PFdYEyXgBuXUxhv4Q/aAvN5ZFYDb8Wd8jJ9DSdFQcD61mE1u2b4FdduHUSihsE05B9YMYaTJGEo4x6HSlI+OPCGKSUzXYroupqWnsPPkU3HL77bj77ntw5113icQaM/dtm7dg09QM4pGP/fvvk5DAdixMTk5gotWQEhEfpFCzVMPwgtaeMS0L2jxedsFF8jiWxw9bQGrD7Nq1S/h5z372s3H11Vcf9cvbMAB+76Z/xfvedaUMEbFiS2YwC74szlIul+6TvVpaPsqxTVYb2EQAbpqVMgyLvasrq1hYmJcpNGrtedWyzGIQlKzRERzNRgvBGrmUCqjbt2yBV6ugPFmHWfFgFY4MnMfBEMGwh4wACSLpS6dZjnptQsgFhuVITzRKA+zbfxD33Xs/VturQlHyaLGZGEW03pQH4dyyIzJxFEPnF8b2bBGuJAU/iRKM+0P02j2sLq3ITX3pBRfizOMIgOvaMBxC4uQbCahsyx3tY8MAOH9gP9566esEOCQSJHmOTq8v7pexHifOEulYpKKK2qrUsHV6FqWJlrCdfd/H3j17RYCyWq3Jg4KQd911l1CmKDRUr9dw8s6TkRUZhsMBtCTF9EQLjckJNGYn4HDonaUWikVGY4y6qxJrZqJyECMtOAhVU+RRloQadcRJIBab8Vt/OBCmiKUZcEmIkPYbhK8oEnGuTREGpdRPscw1Gj8p++Q/9la76LW78mU69/LdeP7Lzjra9/cR73e4BVzXhqEFZKJHMsI111xz1K9vQwF46UXniZYe922YriM0JfID6XKpaysKVCxQOw5mGk1smpyAVi6LEunCwhLm55dQrVZw2uMeh1NPOxVLK218+1/+GcNBH55jo9Wo4Wm/8Asolzn2OcTqvr3wKHBZK6GxaQrVTTOw9YoUpMm+GXW7GPU6yGP2h3PkOgvaZWSpIhNQfIjEVJk5pmkzdSEgiJgRyQ1pLottaH0JQgKfpBrysGn9RJAyy5WFFQLuAN12R+LeV1++G8878/gB4Lo2DIvPrAM+5SlP+ekqRN/4nX/B2y95A1aGPVQbNVTqNVmDFQxGamic/V3TRhLGaFTLmJtoYqZZR6jlaLf7WFzsiObe6Y9/HLZu24LmZAsHF5bxlS//g/RdpXtSKeO3XvACqcENOivoHDyAYNBGqVVHY8ssaptnULJq0oWhqw/YgVnaJyUckerV2MP11IovDk4Fobh1AjNnf5mZNDLpLUtvOE5QMpQuIfvAnKYj1YfkA3II2Qqm+yVjmhZw0B9iaXFRrMpvv/ZC/PauEwKVP2xiN8wCfueb38ClF54Hg1Sr6Sk0mg2JuxYXFoQ/R9NRKleRBjEm6lVsn5vBtk2ziPQC7XYXB+eX0OkNJBvetn0rtm7fLtNx3/zGP8nNtk0DkxMTmJ2ZEXEhPYtR0goMOksoTANuo4qJbZtRMqpCB8viFMFohP7KggBQVr3m7DW7axoyDlxXLeqjuirInHbZ5tOFXUPdQHZEmIioRZlUwudOE25RUrMkVM9igkSigmTDQSRkDB4vfM35eOG5x35bJq9lXZqDtT+WsTjnQZUsDicd7WPDAHhg7x5cdPbLRJqsUquhWq8JwXMwHCCMOHuRw3VLIgLUrFYEgDu3bkaqa+j1+1hcWkG335f6XGtiAnObNsE0XSwtLsgopevaMqdAIHGWN+NMbxIhGHTEHdLlT27bglq5BYPLctIC48EAw16bSuTS+cjIkKHYkdD0bQGgV2LdkQhVwkhq5RFdKwUtgYSKWmTLkPZFaheFjtYGnljeISuWUm4EHzNgEh/ogs/8vTfhmS96ydG+vz82BuQMyLXXXiuTbF/60pdEoPz884/+F2RDAfjeyy+RMgsLyewBdwc9Ge4W+T2NkhqQvvBko45Ttm8VEHLQiK2sXq+DIBqLzC0BQnDYhieNf8d1UK1V4ZU92Zwkms5xBL+7imQ8EMEhxmgT07NoNGdgmo4sR2TtcNDvyMyvkpVRpSAlZk7CQwmVWlWIECSwSqeG807ktpDcQLEi6XRwI7vaF5fEIVIRtUxFoIb61+xxsxTDrg0Hsais8JKLXo9ffuFvHTcApPYL26JnnXWWEES4quGnig9452234o8+/AFp4rNzMaCcRRTIchcmJVSVEi3lUYDNs9M47aStkoSwreaHYxmfTKjdkhAslNe1YVJb0OGch5qGI+uEzX+R1w18+L0OEA6lTMNuS6s1icbMFhmTTJMCwThEt7Mi5AbZ/8upuDWCKzmFBGCpWoGpWzB0SyUZnALg3PAavYu0LiXxK3ubEAScelNK+1yww1iSFpIjCPzz4IEDArrnvvJ38byzzzluAPgP//APeOCBB/D6178el156KarV6k8XI/qeO27Hf/nYR8RtERAsRVDY2y9StYMt5A62FP1OD5tnprFj8xxa1TImnSayIkahJ7AdA2mhVrqaGsc2XSF88tZzpy8XE7JbkYQBwmEP0agPLRwLG9rRTUxNTKG+bcchcoM/DtFpryjwcUEORS1lN7EhEh6ynNB1YWkWjEJHmMWyr5itXpNbNWnJIyU4Kf1p7q1jBswhqJTrHdQia9KvQp+lmLHUMnk855W/i+ee/bvHDQCP6YUc9uYb5oJXFxfwyWvfI1NmMg6paUIW5cKXfhCiMxoL5T30x6iXywLA2VYTdYs0KIIsgeNRVo3MFoLEginyvut7gtWqVrpCxoQsMsfjPhAFkrES+NNTs/CmNkk8yOeSBUMuItnSlAkWgUtO1jHj5ewKOy+UhDNsAWHIcU3ODct8MUFIda01HZqcbtaXPjO5gSRIEIBMQmRsM1Tdll63J1++F130OvzSC194TO/7Y6oXTAD+5ac+jjQNDikPsHcbRRl6wxAr/REWVxYkg23Uytg0PaVY0XZFrc/SMxExp6wa5z1EEzrN4NBSrSlisaYYhwz2hwhGLETHSMcjEZrkoFK5XIM7NQu7RLVVXSTVxoMRiqSAyUzXYjmFywkp8WHBqlYEgIw5RexcJN/UAmzJjpn+MoNn8sHRTQoaibA5wUehc84Xq23wYZggChN02l1ZCfbii193XMWA/H3e8pa3yCgmuz3UhPnoRz961L8gG2YB9z94P776N1+ApindFgbv7BAEo0RkLBZXuziwdBCmbaBRr2FqoolqycPm2iR0jRYql3KJU+EcCKfdDAGg53KyjTouulD8e52u0O3TIISRpfDby2pdKriw2kF12zY4HtVWDXGZ/dUejMIQNgwLzbKmi/JvjguvVoVRKUtcuL4om2AXyQ9qBrIgHSlVfQJQpDwCJj2FSPumSSAsbsa2UZgijlLMz6syDOO/5x9HMSCV8amOwJYcGdGf+MQncNkxmFveMADO79+Db33l/xUpXLbOCL5wHCAYxRj0xpifX8aBpQV4DSXJy7baRKuFzY2mKNpzRwjFIt0yAaHmgLnNXMQnRXRIWShm11pSoAgTZMEIcb+nEoSMyqQaJk/bKSAnhsM4QHuxDZ0EBsp6UIealpW1GHY4KiU4DQ45GTLgpIbeuUBbAVAsYKBqghQ2yuIQRcq54ghxNEJOoXOudaAsR0QtmgzzBxcUAF95fAGQWTD1Xc4991x87WtfOyZsaH4uGwbAQbeDr/3NX4oMLl0UW1rMQodDH8Oej6XFNvYcPIBSvSLqBWWKVs7MYbpcRol9Vi4xpFjR2mIajZIca/ufWaejKta6drOeFNCoyTzqI+z3pdfLWI3JS2PrZjgVT7YtBZGPfrsvTBqTEaXnSoat5osNuPUa7GpFwCfml4N3jPsodyXrV7loRK37IiU/jXyZN1EM6QBpPJZ4j8RWZt1UTGBRnfXB377oYvzyC46fGPBwQurhGi5H2wdvKAC/9ddfEHbJ+nrTcRhJd6PbGWJ5qYPF1VU0JlqKUZwV2Dy3CTOlEiocyzQ1mMiE77cu2QtLLRdm9sqHCBExQ00LmEEsZAO/1xV3z3iTk3O1LZvhlD2JAeM0xrA7QBbn0DKZqVSq+rSqto3qxAScWgUG1flNCrapCTixfCoI5KS7gCxZ05WOWYYRZf0U4XgkGTDxSis4Yt1xwKGlAi/edT5+6TePfqfhcEA9ppKQ5f17cdOX/x5hFiBFhjBLMI5jzC+1MeyPsbLSRW8wxNaTtmE8HCOPM0xNTuKkSkVEzAlAm67YYM3PEWuVixyMsn4sjxCALGqbHAbi3Emvg9HKslgc1uMMw0Jzxw7YLttqaisSLSAByGElKqwqqQ9DBpEqrSZKE03Zxk4XT/CtJx/KDdO1G2LxqC9IfiEBKHvlBIBjKa6T2BDyC0G5Np/LeYAzznopnnPWS4+2gXnE+/0wANe1YViQphoWxxuO9rFhFnBp/178r699CVGiCrWclej1RlhdHWIcsNDM/y8wOTGNQbePeBxhqjGBUxpVSS44lyuyaSSlOA6ccgl2xUMqYliazHuIxJrs9s1RBBHy4RDLDzwgpFCq3HvlCponzSmtadcT8mrAVqA/El5hzM2dbGDIMsNcesDbT94JrepAr9M9G6CovtLVIsjY+VAEWs6HkODA+h9rkaxpEvTkPXLMc8QuyGAEf61u+Jtn/Tb4OJbHj9KGIR/we9/7nuwOprTa0T42DIC99iq+9sU/R0oyKHu0UYRef4RudyRdEQp+k6zqOC5G/ZFw5+YmZ7DJc1FxbHgUjtQgnDuu4rJcB3alBN02Qe+5XhuhjWLNL6d2X7uNlb17Efu+uEIqrNY3zcg8se2VZQENSyfBeIDRcICAEr+FLu1AMlhYYZmcmUF5sgFnoip0fJX4MKfWlGQvLRyV8yOSXENxr0JGYBxIxkzOZIeF9ghdynzI5vYCL3/tq/Grv/G8o31/f6wFXNeGufDCC/Fnf/Zn+Lmf+7mfrk4IAfg3n/t/ZJ8vb8zYDzDyQ3Q6PdEgJlH11Mc/XuIs6ga2l1dQ88rYVPJQZUmEk3EEIud8uRuEiQlXLViWdEFk4o0FagKE7jEK0d63F52DB2WYnIdXqaE6Oyd/eqWKxGWsEVLvbzweYpxy5pf7u9QujxGV7ytVeI0qWtPT0k8m6JSiEd+P1paC+hlSKi5wgSF1YJJEvlBxzt0jBQIOYY0jUctnPZB6NedceC7O+M2NWXXwH0X14RZwXRuGIpUkonIScV1o8j96viPxvA2zgPsevA9//8XPK2V6UtQ5H0wtlsUlsTauV8Ipp5+GcRRhdXkZ7ZVlYR6f1pqAY1qouFQ+cOF5XM+qRIikZEKTZyhtaCkgy27VFEG/J4RUv70qN5yxYqlaR3lmC7xSGW6porZgUmYtZGw2hJ9GMvdLS8fEYTgaIypyNCenMDE1Jc16lnnWkxH+m51B8gsJPrJehqEvRNQkT5AWMUZjTsVl8GVfMNAfKHm23zn7THkcy+P6W3oYJ/khOtaxvJb192586kH0Lth5xC5FK9ZSxvvvvRP/9XN/BMepCt2dY4q9QR8r7UURiWy0JjC7eU4SC98fo0vFgpUVnFRpoFoqoVGuwDNMVMqegInfUEqjZSYzYOoHKgCSo0ct58FqGwsPPQhXo2xuItmxV62htHWbWL9SuSYiR9FYKZ6Ohh2MRj3YIu1mympWTulxBWulWkel2hCNaYYOPET4XOJSWxQXJA5kHbLIEXHqjls2qbofZ2tqqbSOGnpc0MiZkFe+GGe+8tjSsRb9DKf+l70YXnjkbvhPgpwPfK+LvYMUH3/W1E9ymke89hAAlxbn8ckbuIHbRlEYqibW62Aw6kpm22i0sHnHNmqSCp2p31fyaFOWh4ZXkhmRGokBFChif5bzxLqLVPYSGtK7ZWxGijxjMr8/wIH774VDLWjK7BYFqs0WKiSlNloy80sLOur3EI6GGPU7GPVXoAk3TCUitNB2qQTb4ZhlTQQvZVUIJX9lLRcTEjJz+CCdLJV4NEwpbhQpuY4oFRDK1szcwGDEjZwFzr/4bPzaC844Yh/0oz3RC7+0AD8t8MfPnsb2Kqk+x+b43N1DnPuPy/jO72zB02acI3YRjwDgDR98H4rCFD0/uuF2t4MgDlCuVDA9O4upzTMyyENL4o9HeODe++AmGUqWjZnmJCaqdVhUurctccdWpiNn7Cf74tTiGSYqjMcIwJWDB2FxpQL3AAMo1+to7Ngq9b1yvSGWc9zrIRwMMe520F6cV8vS1xIJMmO8MpUZXNjUpl7TmOZAVZSm8Fl8TtSGdRaoSQujKCZdMMUeSXIYjkOM/EQ2qKeFJbEgk5CLX3c2fvO3nn3EPuif5ESMBT96Wx+DWMmGHIvjBTvKeONT63jmZsVCP1LHIQDec+cP8JlPfVIKvCxRDMa+jGXSjjQnmpjePIv6RFMm48gY7ne72PfgHgxXljHVnMTm6U1olGuoWqasz+IuEU6lEXy0gAQg3SKDf7rggDIY7Q406s5wgEjTZOXrzONPXyvhlCR5iXsjRMMx+surolHIth7dNeuKrDUS0bbhwLU8WIYlpSIuKaRrDtMUHQ41Sf9Yk+F6Eljp8ll75HsuLHfhhylGAQFoyiZ1Huec8yK86lUvOlKf84nz/JhP4BAA77vnbvzFZ/9UNP0IvKWVVXQHA0zOTKNWr6Ex0YRd9tSmS/LnCNB2Bw/c9QBsFpArVcxNTqLuGvBEQd+Gp6sFhozNGAOKVC9dZBghGY9ls6XfG6iWGSWN8hzWzJRsW2cdkZmznmaIuLek3UNnpS0EVDmPqatJN3INyWHMlL4g10VErOvFEYZBgMFQtdsogs64dPuOHXI9Qg3LcyytdjH0Y6x2+YVj3KtiwIsvejled9ErTgBngz+BQwDsdtv4zB9/WjSSB6MRlldX0R+NZUCpXK2g3qzDZd/VVEPoVCbtd7rY+8BB2bVh6zq2Tk9joubBtTURMK9ZVeEDihwuWdUct+RGaNKmGIONAwEX14MJbZ4/p8xvtYJSrSrukrU7AWyg5DMkiWbcSFV9Cl2Sac3SC7dlFrRy/JJoYgEHQYDh2Jd4kQBkCNCamhQVB76OBellAnAcozfi9kxm/mqF2FW7X4tXvOzXN/jjP3H6RwDwC3/9X7G0vILl1TZWu12kRYGZ2VlZt+V4nlgfulK6YIoNRX6Ig/uWhEM36PSwhVovrSoqJRuNioe6WRGrww1HTEDY8ZB9wAQbdWaoSkDGjU9BypEwXMi+ptUsUUTIYQbLla6ajFpyOIoFZNktwmBQ12B7rsx1EICkbLmeomcFaYp+MBbpXVo8CT41DZV6VQaZqI4w4BTcShdBxHixwEpnLLEg3fjbrzgPZ7/s104gZIM/gUMA3Lt/L/7uq1/Cffc/IAtchn4glmTbSdvVGCQV8Cmr6zqiWOUPR2K5FuZXsTi/iH67i9nWBLZMN1AtU8S8jIruihCQrN6iKw1D6VBQEJJxIBdMc2ySiqwsdjPpoBICC9iM1+i2J6enhd0SRpEMs7OQLNR8Uq9QiLsW1bicLG4DlUpNQDwIAwyCsZAUCDwpAXEIvlIW8JEw2xsFWFzpyrTdOMyx0h3JHmEeb7zwZXjTRS/b4I//xOkfjgEfvA+f/+JfYu/+/eK22B9tTExiamZagnsOAHmVCkKCh3s5gkBUsvqjAfbvPYCDew/C1SycvnOHJCGtchmTlSpqlYoUgOmme21K7vYFOGTUuKaFZOTL3IYUkHUNExY5fxQ+5345E5tO2qY2bOqkZ42li8HncWkDyykEKhX19Zxs6xhDjlaOhhgEPgzXxY6TN8koQa/fQ6fXwxOe9ERxxVGSY7kXYO/+JSlA+1xknelod0eCijddeCbefOGxLUQ/FuB5CIALS4v4g0//oYxiMgZMshzTm+ZkxxvFJzlmSb0XCg+xl0pSJ8cDe90x9u8/iAfue0ik1eYmp1CvlGSNw6bJFurVkhoQH/tYPrig1LI4IG4AHqn7JBYk1Jzh/+moWR48tvYoIOQ6qLcasNjSMxQ9iwNF1AHkIyKtihR8akNnkCWLo4ArV2NJTmoTLTQn6iIvMhqPsbi8gqlNcxJOxGmGxeUh9i+uYhQmCBIgiDmHoobVr7nqfLzmlSdiwI3+EjwCgNd88P0YB74UdMvVKhqTLUkcmHgQhGVuHCeLhAM+SSKC4StLA+zZcxAPPrgXRa6jWa7CNQ3ZJTI328LcdAtlx0Ya+FjeP49wFMvUGgfNuUBGdFvYutMNpT3NtV9URC1z/asHr6LWt/JBWRCqGVBdi+wYzm7QvbO8kxXAOAyw0mkjThMpt2zaukWATBdMla+D84vQvRJSnqsAlpeG2L+8giBmEVqDH5CipdZGXPuui3H+OS/Y6M//MX/+QwC84/vfxw2f+LgAkMoI9VZTiKEEoGzDtJ1DustMAoIkkhv+4J5lHDy4gAMHFoHCQNl2YWsqC261qnjqEx8nTGkuEeyttIFYje6SNsUEg4qqzJAd25Fkh4xB9pE9zxVLxdqg8PzI2RuOZWcuLS91CympwYF38g+ZMVOs6M577pLXNVpNCR8YV7LME4QRlpZX0RmHMFwH1MhvdwLspxSHTrY2EASJKMPyuPzN5+CKNx9blfzHAjoPAfC222/HR274KCamJtdaZ6bEWqVKRdwfxScJLumpFjmCKERn0MfCykBEiBYW2zAMD41yVTGcQ5KncjztZ54oe4ZdQ8O4y62bBSqmA08zZRH1wuKiyIHQSjH7na5VxbLRyvI9yWqWUg7JDY4jI5QEKFW4JloTov9MHt9yuyMSIf3xEOVaFdVGXV5ve8zaM4yGAZZWOljsDpFpOsJcxyjUQKq7aoer96Gr5nHZG87BZW84AcCN/hI8wgW/59r3ycytWB2Lbq1QpZe11VZlhyUP9lrZP43Q7vfR7Y+xsNTB/nkOkHsouyWZtw2GQ8T+CFs3TWHr3BTmplrIgxD+YISyZaPmuBLH9dlqY50vofop0KxUZLUDgUXWC9202kNnw/CU/jSpWIz9KDjJ13HPG9nafhBI649K+qKYIFQwRV4lAPcdWMJKb4SEMaNuYRRC5Nh4HbIwkdWctYL4dW97Hc4/+9hKc2z0zT8ezv8IAH70k38oWS7rccw86WIp00ZtF5ZGXBI+oQsA/TBAZziQvRrLKz0cWGwjz224tqdGKNMUg04bjpmjWS1h26ZpbJ2exKg3hGubqJaVlnREMmoYIxiPZUcJkx2JP2sqeeBekhKX2jgOxlEqu0sIPkqzceySFou8QJ9jngwVWCriGjBp/7GvncqA+/JSGw/tWcDqwBfw5YYtNHzKsqmFijq4ZU53bZmyu273Lrz25cd2JuR4AMhGX8PDveAH7sfn/ttfisqounGQjLI5OSEAFLEhWiNNF9fJvRq98RDDboCF5Q7ml7rIchO2WYLLEgoLz+MRVhb2YKpVx85tm0RNIRr6KJVJXLVUBhuniNmSGwxls1FIXiDnPUplWTi9ffNWIbIyM+31hiiXK+Ki+SUgQLlaQXq7aabqfPWalHmY6dBVF3qK9moPe/fO4+D8CtrjFIVuShLC0VPOm0gMqBuINR1Wq65iwF0vxRW7ju1MyEbf/OPh/IcB8F585oufE3FyajFzVJxtLVGfMkiz4hZMHaZrIqB6qT8U6v5qN8DqchvzB5Yx6IUouw243BvMeFHLsbS0IoppFdeSjetWFqFRr2Jqoo6yawKJsoARl0mPQhSaJQBk/ZALpw32cEnnMgwknAfOCrkuzoxkuia740gf4yCx4RpwKo7atlmYMAsLy2FXZlsWlrpY6Yyw3O1LzMetSHHKhYiBMHEyy0ZRaSGvz8l9ueo1z8PV5x5bSv7xAJCNvoaHXfDyIn7/j28Q6r0wjeMEtXoTlWpV5NKk2EtygEXFAlKYxgLAUZDKzPDePQfQWRnC1NkL5nquKgzLEMvEth0FiVplzo+YqFc8zEw10aqVUHMsZJxYG7EvHCJOWaQ2ZPdbhfuIyS2UwrSJmD1drnWlMoLlCNewN2ZxmlaMWjEaLFetYuUwu5bqaIc+OoMhlpb7WFodoNMfqGK2rIk1hNuY6zpSy0FWnUJl004UhoUPXPQ8nPcbP7vRn/9j/vyPAOB7/+BaKWnIPMh4jJm5zahUqsJMVoMdhcRHURKJKDnLMcMgRXulh4WFZawudf+1TloAABkJSURBVJDGpMtoAlqnpJZXk9LPzkk46KHqWqiWHLTqSuZ36+QkyrRwLB7TBUckvArHRRSxSlRDYEJCHp+sZU1lLpgbOAlA1vRA6j/dp2OIagNds6wO82PMjwKs9kZod4ZYWulLkV0G5CnPlnCxmIbMdpF6dXibT0Frx+mwHA9X/fYTcfazTn7MA2SjP4BDALz9rjvw0T/+A1RrDQxHI3HDUzNzshRQhAYoTsmitGUKmZPtLVrLdpdEAl/irG67h15nJKqjumbDcssy3SZLMMlM6bbh6gU825TEhOJGP3vqqXB1wCbRlSDlwmiSVCkiSWVUJhRCn1IsaJmq4xdCN5BqgMOyTa6JFePOYupQ89ojSvz6Me5c6mM0DtFuD7Da7gvXkVK91L/REyC1XWROGcbEJjROOh1Tpz5J6oa7nrUFu351y0Z//o/58z9ciL7n+/j4Zz4hQj0EF4e/Z+Y2SQmGui08WNYwbVes32A0Vgue/RzDwVDiwE67JxR4lkmSmKOTOSyHlHnGkJbIsA07K/JzDjIRgE/ccRKaFRetKlVOM+RDKlyR9Mr+cCQqVjJkTvlxEv5E+0VlrTkH4ut1aLYLi3K9tolaxZPwoT/00e4OcMeBLuIkl4Hz0cBHEPgCwDgvEOcu8nIDpYkZTOx8PGZPfTI6io+K1//qZnmcODb2EzgEwPnFebznhvdJt4BlCUqebd6yTVyf6CtnTAYou2GLdWHpQ3ashQW6smVoWUDIbJWlGs5hEIwc9KGUGjspGjcW6ezZjmUhYr1cwWyrgdnJBjZNN1CrGKjpJekNJ2GEMddyrStbcaWCa4qyFqn3dO12uQSL3D7WBx228TQ4XJqTZcJlXFhu456FPnpDrgsL4Y9U6YYSc3S9odGE05xCZXYLqptOQnnuJAw5wlkA73zhTrzq6Zs29tM/cXaO6SohFQLwyg+8DXv37Rf61dTUDCYmpmTAiBw+FmsJQApP0o1xWyUt4SjI0SEA55dEPTUJE+HnkUHDbFhGMtZcJv1os16VWdxwHMkOuYrniNWamqhi5/Y5bK23UOJ8L1eqBiNo1G6JuXa6QG4bUrRme030oRsN6HTRtMzcOcweb5yIdV5q97C02sGDCyP0ZeWYonIxls043G6UUMychsnN29GY3QSj3sIoA4YkxxYFrnvx43DeL59wwRv9HTkEwO99/xZc9/EPYM+evWg2W5iZnkW1UhPunKq7ZWIV6foIQCYqY3+M3rDAoDdAZ3lVxCRTn8rzjKJ06IYt5RIKnKcsYBeauHW69MiP0esNpLRTcizMTDSxc/tmPGnrDGyTG1wpSJQAkTqfDCKhkGEjkeYlUaFcEc6ioXH0mPIfBpba7M4MpTbJktJDiwmieIwgHop8cJQypvRgVOdgbD4dpz/5yUg0HUGhIcgL9NfGOnc/byd2P/9EEnLUAHjTbTfhXR95j2zIJO1qYmISjXoTnlcSJjNXuDIG9INYGMcSZw0G0k9tr7axsrgii61zFnZFGIigoSIzp9FsGLYLcGgoA0qVKsrVOgzTxsEDB2FqQM11MNdq4KSdp6Be9dCqOLC1BBVTk/mT8XiEoAgxNUkVfW4+ssUVMx4kg5mlGEpsrFDnudfHUruLIE6x2k3UcDt1YaBj6NRRnppDc8dpaG45RYmv5xxUV5sAhqEipF72vJ247AQANxp/D7vgB/c+hAt3XywurlKuYHJyCrVqQ6hRItUbRFKiYcuL4COfbkwX7GfodgZYXlqW53G/B5MM6dfS1cmOG5IJHBiWi7zQRMK3Um+hXGuiP+BSwiEQx5iuVdCam8L0VBOzkzVUHcDhkCgHyv0Q4yRArVaXUEA0B9nyI8M6AwISDoIIy5STG42x0h2I0FAYaWJtSeXKdQfu1p3Qm5PwZjajPr1ZyA1ZoUmRm7mWSMjlBa558Wl49TNOuOCNRuAhF0wAnvOGV0scxY2WBKDjKKoUN6Yzq6U1JFuaCQilOzjAPeiH6HV6a+LerK8pWT6lD8lZDnpQUuIpWG6r2WDDgeVWUZ6aRmHZQm4ddrow4hi1iQqajTJmJmuYnarB1nJRu2cLkKqqrEvS6rG2SADyffw0Q5sxZRiL5RuOQgz9SEKFONElESp0G6WZLZg8/cnQG03EtguXRNm1uiKn/WQFBEkJeY53v+A0vOrpJ7LgowbA7/zb/8Il73zLoU2X9VpDNJuZo3A5oFYYotmy2ukIt46WkPW29nxXuHlDzohwLzCTDlmfpYaAWD+UIh550QUlO2xpt2l2GUa9gamTdsiMcXdlBdnYR7PuolJxMT1Zw8x0A46hicqCZ1iwZUNmU8pEfkBXyXkPoOOHWB0FIikyv7AqWi8saDMj55Sl5rhwWtOob92B2Sf9J4zSDEGcwKK81toaWiWiaQjNjMcl/3kHLnn2jo3+/B/z5z9kAb9947fxprddgnqjKZvPa9W6uE8WnVlHY0LRmpjE/OIiAq40YEyVZxgc6Mm6VLpjtmoZ98kEmq7J7K3GlphG8HFlAgFJMNvIzRLSShnlbVvE6nLOJOj1YPZSoetXqi5m56bgeWVJfmqOgc1uLgJGPpcdMq5LMwzYEjRNDNIMvU4foy5Xc+VIIiVqmdotNLdvxcTjHw9r0yb0c16TJjrV2jhESn6ZZDEacoOrKRQAL/vPJ8vjxLGxn8AhAD7w0AN4+QVnS4xVqzdQb7YEgKS/c2iIGsr8Pw5688GdGozzeksd0ZKmVaSr5YNA5CE73BRpXv5fLCnBKHQBC6lXhtmYhFGuKKo8yaY9XwlJZjEmJlUvmp0PMmNOqpgwWBYC9V1iJFTZCkYIsxQBa3/tPvwRtf/YYrOgGS7czdvgTUyhtmkT0GyBKwwlMYIBm3JtjFWFB8i2XiETdXTD173wcTjv6SdiwI2FH5eXrtUBCcCX7fpdBcBaHVXqvFi29IQZwJOyznYXtVRYROZqq2Qco7vSUWKRawwaZpI8CDK25A6BUjHw1RIbKdPQSjpAqQG9XINRn4A3OQ0vyqVQTfk3FqGr1ZLA19aARsmVDUmUeyN5FOAekxESERmKZKST48aFVYJRbWFy68monLQDZrkMzXYwSlLZbUdAyzxKzJ3BhWTAMfVkZCm3Yme/77dOwXnPOBEDHjUA/suN38HvXXUpmo0myqUy6pW67OalHC/vScQZ3ixFu9MXF5ZS1mzgo7vcFYuhskfWeblIRlk5LoERa8hYkDBiIkFIypJA9nctoNSEUa7DnpgRS9WsTmF5aQFLBw8ij0NUXF2ASLtFRoxVqqwNmYsGr2xWJzeQAGSpBaYHt97CxJYdmNtxGtzWjLKYRS4A1A2yepROYcEhJ65pKAoBX0zhS8OSz/zSM7bhLc/ZvtGf/2P+/A/HgDd9F29+9260ak04pg3P5A42A6sLS8gMG4muVKWYaapCcohhr49wEKtdG1wISA1oFp7p1tb2fjCLFvfL+JC8O9Fw4doFxv8mCqsMuFUY9WnYrSlMPeHnJKMe9rpw9AKrD94FPQ1RZBFSJgyGI0twhJ1DmQ9aQvIUScMvuTjtCU+EV2uiVJ+AZnvQIkPEiiJyo3UNbPXmsj2JxW4b4zCUMhEJqmOqqHLdJpOQ52zDpScAuOFfkEeUYc5+4/lwLQcOHzqXDRpCkw/jArFmgQ0x9n8VvYqlkx7yiJvI8zUAEhtsiXFugxaK4oDKJbP+RwtIQSDZnFTksstNM10UThWoTMKe2oTSSachzjWMODtiGyiGbQSdJeTBQNZyZZqNXCNjmxSxQjapU57Dq5VRq5YkS2aR23Y5TOXAgCXJCrd+ZtS1YU+ZFptbXwt+qWjZ2f9lAkKVVEXGfd+LT8V5v3TCBW80Ah8BwNe8cZdYBlLgXRaNE+5Ty0QxIEwNURYVjeUowng4kmFzJKzFqW7EOktFpDBYo2N0zyEilZKIFVTzZ6KFBZuCQYaN3CojL00AjVm4O05DanL6jduXNNT1DPmoi3F7AUXgA3YFZrkGu9LAOOZqWAPlWgWTc9NoNmuiT8gUR891pGEO03JFFTXIExQWfwcOP1Ev0EAUK4kPApBdE7rhTGqWBq570ak4/5dOJCFHDYDfvelfccW7rpStkZ5bkiWDlLogWKJEB9dnUAoj17hTg/T5EbIohhbbqvwi4NKkN8sYS8WAtIgqE6YFpJvW2Y5TJHhqsZLkhcwuI/FayMqTqD/lZ6VwHCWFlGZOmahh3F5E/8AeBO22tNEqrWnYtRZ6TIayFM3JFqY3zaLRqMAoMhhrZZZknMKqVkWTkADMTR2DYCSEVU3GQrn+1RRlfHZNAir1lyvymV9+xnZcfsZJG/35P+bPf8gCfuemG/GWd12lOhgsp3D8UtakGggD0q9i2YZOd5ZQ1Yo9YTJkMqW1t85SFj1SNbohYFTpqnqIRaTKAYFHqwkXRsopPENIoXF1EpNP+SXobhmJ4aAXxGoLE9Pmfhfte+6EHq5KolA4JcCtQE9GMr/s1WuY2X4SNp12urBvcpZ5kgJV/h46ELKnrEP6vrw4rv+KIxIczEMZMOuajqNiwMvOOAmXnXGiEL3R35CHXfC+vXjVmy5aIxGoJc5c3scaYJ4CcZTLjWK5JY4SKc2I4n1CbZa1wjM3B8uqLGURCcB1woCUZKQsw4Pumj/3YJEixRjxf7d3rb9R5mX0vJd5595OZ6alBQq7ZSkCS8Ia/azxy65kjRB2V7NgsrgLAhsM30S5rN+MiUH3H1rjggmS+EFj1HApilhagRZaOtf3Ys55flNYvw/ZSCeZNL3NTPueeZ7fc57znMfPoVNuovrKHpQmtsAfGcNSi8umM5QCH/l+F0t/+wvipXviuTOdHSvwYnZEUmRhiLEtmzExM4NKfRxRuapdxxxRYhvPKuFEVJLibwr0O5l4QabeDmVfHE73bK/xLw7O4sONFDxs/D0nRrj7Txw5c0oAo/yqw1WtbePX5OytdJoz3qzL5n4fEavYnuu9CXikWhz3x+Y+e7huvZaZD9geN6mbmZb9IqIk1uQbCeqnXhWFTdtRnZxGdesreBR7cjsNAw85GiLduY3O/C1k/Z76yrFXgp/G5g3NQaRyCSNTU8iNco1rBbXxCeSoxuZCaypzaIKUy6HrZVhL+vB6HnqZjy47J1J9Z7bQOk3wy+/vxUff2Db0C/CyP8F6BLx6/Tp+fOm8mvNdmoivUb7O6EJX8Qw+/fdoTsmgR1/nXixDIfIXEhj4ntpwCQHolCWMgFSuWEq3dEx1tToPlNT7eUU2eb9nAZ6mRYSNLWhMv4ry9AyW6dmcJCoswk4Lyb/vYW3uT4ponsfXUkDBt6iLMCc7trRcREwzpfoYts7MID/WQJT5iFJOyWVAsYDVuIPVbhdB7KPFPSIqoiDgcS0Yb+e+uws/PbjrZcfH0P/+dQBeufYHnDn3MywtLYtmMRNvLgy0QSAe3OnN0qKPn85QqST2XJ0lnyHeiSzyfk4NQ4EoeT9zt6I0ywCobUfkFamKyVoIRM1wMLyMrFBDaWIzqtt3IprchsWVFmMl/HYb/qOHaM39UduWVLwEFeRZrQchUj8Uwc1qm4NTPi3dogj+xCTqzQbGGk2BPuN0nbalpwhi4OFjLizMFPE5HI+EaR/4+dE38MnRjbHMYSNwHYA3bt7CoaMfSFjACEidHFtW7M8yCIYBXemLssnl9whAzgjRl9k6HYwkxvupCFGP1TZbmkKalbAtlObvBTz85wrwsw4CplGKSr0KEJWRq01gZPssajv2YuExJ/QSeL0usLiA/v2/A70WfC+HJBrlqU1HgyAyX8GU51PuB+bz0E9mYgqFsRqqE01k+Uh/gxTWFBF2+nj8pKWzot4cvR5PsQyFuHzia/jRt3cO+///0j/+FwB44PD3BDC6SdnKe3YuEqVYilFpe0YDIK1XjWOBSsoSplhVt7TNZZRTw00HfkY/pl8BUCppQUbdDHq06DeowWO1SoeDXB5+aQTF5jTG930dyz0yhj56qy0EC/PoLdzkGUD8YZYfUzfFp0A1V0TEYkNvkL6OEn4uD2/TFDz6TVfL8EtF+IyKHmOwp1acOjsqoszJP5BPDPCrI6/jxEYVPPQ3yDoAf3vlKn748Rm0W7ZRkhQMK2HeNIGWL0odvbKy4qbkOC7pIqCjWZhmWTnzo3ycw0CUje3xpYupLrXpAyWnD+S4QLhm6lCwW8FlMmUUmttQm30d/eYUumtd9B49Qe7BItbu/tWKDr+ALKyiURtBwmiaAP020zVdrsjvUQ0TobfJXF7DAoUMOalmOOhOiRfdWeknQxqH59XUy5C6Le8X3p7Fxe+8+H28Q7/iX7InWAfgZ59fxbHTZwUgpkmmMYKHS6QZGTieSbu0JytPFBV1lqMsXidEx/WpyOCZz6XigIB0Vaq+ZxvNB25UPPchJSnMMyJTOOXTVC8XEIxOovjqLqTbZnRey1Y7yD1Ywurcn+35ggLSHN1YQ+s1q//ctzlm2roVKyjXGlhN2IFJVRyBfoGNMbk78JzINh5Xesmyla9Lg02GwPMHduDCgde+ZJfr/+/lPDMnunUbbx1+X+lXUnZKrPqJUhzJaKWnIECL8iznzSxVCZv3Tv/H7gJbdzrxsegI2Q1heeI+57X+HwBmqRG/tsOG6ZglRw5esY7y7D4km7cizeWRtmPk5h9g7V83jIbhaq5SA2mva20/pfi+Cg9Ww1lUgF+oIKMVmyJiCJ8rHeiqHwbmIxgGwrLa1nwTEIAWovHr9/bg1Dc31DDDhvwXAfjuEQMgxQY8S8WkQMyXhdFP/GCn7RxF7aVRVjUAIOc+CEDhkZGMadhFREVFqaPtIisZZxQUWNWsr3gmBKBWxotqiKZngeltAJdXk+65ex/t+dvwaM0WlRCUmjI94tA7JWRLK8uiWYJyFV5lBAm9Clkd01Yuimx3MakkJx/je4f7S1S1i0u3mRDefvP+Ppz+1kYn5IUB8LMrv8exM2dNzu64QA6j56OCwMcigqQ07wTR4Mb9HBbheDfaZUDD8BxoaLQChd+3OMd2Hb9GBjAUoHknAGPfJPtevg6/uRXR7j1I+LhrPWB+Ef37N+ARVGERXjSqibnR0TERzgsPF5Fxm1O5grDWQFAdVUvGvGVCU+NwvwjJcIHO+CL9PSqizH+Gt4sHv4JLh3YP+///0j/+syLk6lV8ePasIiCjHyX21PSFJHhVrboVXW67+SBqpbJTI7gY7TydDyVIpfSeEcUUqW64nCoZzwQK5AtT/o7rjjgA9gKWFEX4uRpitub27VenovPkKTB/H/7qvAoayu2DYl3UiR/mgSDUGof67CzSQhH9UhU9umax5+IqdDq38kzLKM0qnvGW1m9cH0bgqWvjIuDFw3vA+8ZtuP+BZzTMnTm8ffQHaHO6rMM2XEeAomc0LxynKHShnD+z8/VWgBPJwrMdOwoU2ulMFyj12c85MQLT8npEMhmXAKo+MclCtulim5oLKkhKTYzu2I2kWJECJ52bQ9YlWUxlc4T8yDg6HfYICUi+vh5Gtm1HUKsjLo+gHUZ6PFFFdOzinaS1o4qM/rHKnFExYHR0EfDTD/bj9JsbRchw4ffcTMiNO3M4dPw4ni6taKsR7WulXmH6YsShp4rA5UQFjifUOKNaY/y6mRi5MRNJ7tcByJ8h60dbXufvpzWqA3mCS4VZRgCyki2q01Gd3omsWEXM9t4/biKhhzXYFswjX6mj1eXzWR1O46HS5JSEDNlYE91ihYyzRBM8KnA/sCKvq9JJiPP1Dqog2nsY9ZTh02NfxcdvbQDwhQHw8+vXcfr8eSwvPJQOT4NIsfFiTL8EICMguyM64wmAmdyyVEJoJiS13bzi9Yxs5qd2ZnQg1edG3agrotadDYNbgcKIRg+aAhKvgMLUawAX5CQx0sV7Sp98DXRZCPIVtLuJpXUpXFIEYw2EtTr88UnE1RH4bCmqTWMjodLuiHKx86kU2oPZPTqlUuYP4NK7e/HJe/QK3LgN8z+wnoJ/d+0aTpz7CdaWVgS+brsnMpp8mbZRuj6upPaDKChly3MFCY96NlTmBocMXIx8as+xr8zo5mgPmY+ndkYbAFLp3GNxQul9HkG1AY8D8sTQymNFR/aRw3wJpUpNM8r0EmRkpGAi8XLA6BgwMQnUGyhTN+iqbkZ0ScL0RrFuDcl12c+5N8DgDHjhnd248M7GGXCY4BOSBmOZN+/cwcHjH2F58ZGtxGIEJC+s4XIDIC8Op9vUenPnOX7f0qzLg+uAtI6EJUfejJIxTSC5PtJxoTZhWsq2cyA5Pc+5KKRU80UcqSyYDe/aiiw2aHLkcdlNacRmlmliSTfVjIWSh4w0TGMc3sQmRJURRbzBeKi4bokVB5nXKniCUFIGvRkyXD72Bk69uTGY/kIBePjkSfzn3gK6XNXKlhpsoowXTSAUyGgK5DyaKVQYzHy46lHRxhHTA1LXihLjAQdiVUoMrUVntwEVQ2tfGYyTH5Ta2ipcqqYF1lxJo5cBjdBLZbSfrqGf2v6vKKagwNPPpJVReM0mgnodKBTUBdFjxDQ7gqIlixD1ujVEb+mXZDsBefnYfpzcAOCw8Yf/Anf8ibQYBLB9AAAAAElFTkSuQmCCwhat's your name?Alert!choose!title§_objectsMenuoptionleftleft
righthey!open my definition to look at examples how to use the menu blockspt:o valor com chave _ em _
pt:um par (chave: _ , valor: _ )
Reports a three-item list containing the latitude and longitude of the user, and the precision of the measurements. Works only if the user allows snap.berkeley.edu access to location data. Some browsers also require an HTTPS connection to Snap!.pt:a localização actual do dispositivo
This block allows you to set the pen's color, transparency (on a scale from 0=opaque to 100=invisible), or size (in pixels). The color can be set in many ways, including RGB values, HSV values, HSL values, fair HSV or HSL (based on a modified spectrum that gives each spectral color equal space and promotes brown to a color), color number, crayon, or X11/W3C color name.
See Appendix A in the Snap! Reference Manual for details.ca:$brush fixa el _ del llapis a _ _
color
color number
crayon
fair hue
~1
size
transparency
X11/W3C name
~2
(3D color spaces)={
fair HSL={
fair hue
fair saturation (HSL)
fair lightness
fair HSL vector
}
fair HSV={
fair hue
fair saturation (HSV)
fair value (brightness)
fair HSV vector
}
HSL={
hue
saturation (HSL)
lightness
HSL vector
}
HSV={
hue
saturation (HSV)
value (brightness)
HSV vector
}
RGB (0-255)={
red
green
blue
RGB(A) vector
RGB(A) hex
}
}§_ext_clr_numbersNote to myself: When the user sets a fair dimension, say fair HSL, variable HSL contains the corresponding "unfair" values, and "raw HSL" contains the numbers the user actually gave. It has to be this way because in the case of HSV, there is no "HSV" variable; rather, we use the pen's actual remembered-by-Javascript color's HSV coordinates. So our HSL variable has to be analogous to that. In both cases "raw" means the numbers the user gave us.1HSV✐ raw HSL100HSV100The identity function reports its input.This block reports the pen size, color, or transparency, in all the same ways that the SET PEN block allows you to set those pen properties. (It will also report the current crayon number, if the pen color was most recently set with SET PEN TO CRAYON.)
See Appendix A of the Snap! Reference Manual for details. ca:$brush _ del llapis
color
color number
crayon
fair hue
~1
size
transparency
X11/W3C name
~2
(3D color spaces)={
fair HSL={
fair hue
fair saturation (HSL)
fair lightness
fair HSL vector
}
fair HSV={
fair hue
fair saturation (HSV)
fair value (brightness)
fair HSV vector
}
HSL={
hue
saturation (HSL)
lightness
HSL vector
}
HSV={
hue
saturation (HSV)
value (brightness)
HSV vector
}
RGB (0-255)={
red
green
blue
RGB vector
RGBA vector
RGB(A) hex
}
}huesaturation (HSV)value (brightness)transparencyRGB vectorRGBA vectorredgreenblueRGB(A) hex1616HSV vectorHSL vectorsaturation (HSL)lightnesscolor numbercolorfair huenot setfair saturation (HSL)not setfair lightnessnot setfair HSL vectornot setfair saturation (HSV)2not setfair value (brightness)3not setfair HSV vectornot setcrayonX11/W3C nameChanges any pen property by the specified amount. Some color scales can't be adjusted this way unless the color was first SET using that scale.
Vectors (e.g., RGB color as a list of three numbers) can be incremented
by a vector as the amount. X11/W3C names can't be incremented.ca:$brush augmenta _ del llapis en _
color number
crayon
fair hue
~1
size
transparency
~2
(3D color spaces)={
fair HSL={
fair hue
fair saturation (HSL)
fair lightness
fair HSL vector
}
fair HSV={
fair hue
fair saturation (HSV)
fair value (brightness)
fair HSV vector
}
HSL={
hue
saturation (HSL)
lightness
HSL vector
}
HSV={
hue
saturation (HSV)
value (brightness)
HSV vector
}
RGB (0-255)={
red
green
blue
RGB vector
RGBA vector
}
}crayonRGB hexI don't know how to handle pt:lança o erro _
de:fange _ _
ca:agafa _ _
es:atrapar _ _
fr:attrape _ _
pt:captura _ _
cont3de:wirf _
ca:llança _
es:lanzar _
fr:lance _
pt:lança _
catchtagde:ignoriere _
ca:ignora _
es:ignorar _
fr:ignore _
pt:ignora _
combines any number of colors, reporting the result of mixing them, either additively (like colored light beams) or subtractively (like paints). If the result is too bright (additive) or too dark (subtractive), try the "averaged" versions, which will make the brightness more like the brightnesses of the input colors.ca:$brush barreja colors _ amb criteri _
additive (light)
additive (averaged)
subtractive (ideal)
subtractive (averaged)
simulated paint
paint (sRGB corrected)waveformssum of weightscombined waveformweighted geometric mean of waveformssum of weightscombined waveformTback to RGBT5.47813E-05 0.000184722 0.000935514 0.003096265 0.009507714 0.017351596 0.022073595 0.016353161 0.002002407 -0.016177731 -0.033929391 -0.046158952 -0.06381706 -0.083911194 -0.091832385 -0.08258148 -0.052950086 -0.012727224 0.037413037 0.091701812 0.147964686 0.181542886 0.210684154 0.210058081 0.181312094 0.132064724 0.093723787 0.057159281 0.033469657 0.018235464 0.009298756 0.004023687 0.002068643 0.00109484 0.000454231 0.000255925-4.65552E-05 -0.000157894 -0.000806935 -0.002707449 -0.008477628 -0.016058258 -0.02200529 -0.020027434 -0.011137726 0.003784809 0.022138944 0.038965605 0.063361718 0.095981626 0.126280277 0.148575844 0.149044804 0.14239936 0.122084916 0.09544734 0.067421931 0.035691251 0.01313278 -0.002384996 -0.009409573 -0.009888983 -0.008379513 -0.005606153 -0.003444663 -0.001921041 -0.000995333 -0.000435322 -0.000224537 -0.000118838 -4.93038E-05 -2.77789E-050.00032594 0.001107914 0.005677477 0.01918448 0.060978641 0.121348231 0.184875618 0.208804428 0.197318551 0.147233899 0.091819086 0.046485543 0.022982618 0.00665036 -0.005816014 -0.012450334 -0.015524259 -0.016712927 -0.01570093 -0.013647887 -0.011317812 -0.008077223 -0.005863171 -0.003943485 -0.002490472 -0.001440876 -0.000852895 -0.000458929 -0.000248389 -0.000129773 -6.41985E-05 -2.71982E-05 -1.38913E-05 -7.35203E-06 -3.05024E-06 -1.71858E-06newsRGBRGB vector255addmax255RGB vectorThis block reports a color. The color can be set in many ways, including RGB values, HSV values, HSL values, fair HSV or HSL (based on a modified spectrum that gives each spectral color equal space and promotes brown to a color), color number, crayon, or X11/W3C color name.
See Appendix A in the Snap! Reference Manual for details.ca:$brush color amb _ _ _
color
color number
crayon
fair hue
X11/W3C name
~
fair HSL=fair HSL vector
fair HSV=fair HSV vector
HSL=HSL vector
HSV=HSV vector
RGB (0-255)=RGB vector
RGB hex§_ext_clr_numberscolor numbercolor300index15scale1515255fromto122crayon132X11/W3C nameRGB hexcolorRGB vectorHSV vectorHSL vectorfair HSV vectorindex-1scale1index1color100fair HSL vectorindex-1scale1index1color110050ca:$brush _ del color _
nearest color number
crayon number
fair hue
~1
transparency
X11/W3C name
~2
(3D color spaces)={
fair HSL={
fair hue
fair saturation (HSL)
fair lightness
fair HSL vector
}
fair HSV={
fair hue
fair saturation (HSV)
fair value (brightness)
fair HSV vector
}
HSL={
hue
saturation (HSL)
lightness
HSL vector
}
HSV={
hue
saturation (HSV)
value (brightness)
HSV vector
}
RGB (0-255)={
red
green
blue
RGB vector
RGBA vector
RGB hex
}
}X11/W3C namenearest color numberrgbhslhsvrgbtransparencytransparencyRGB vectorRGBA vectorRGB hexredgreenbluehsvfalseHSV vectorhuesaturation (HSV)value (brightness)hsltrueHSL vectorsaturation (HSL)lightnessHSLlightnessfair lightness310030.9833.333333330.986.9444444516.944444451.96100fair lightnessfair saturation (HSL)210075.9493610075.949366.9444444516.944444451.96100fair saturation (HSL)fair HSL vectorfair lightness310030.9833.333333330.986.9444444516.944444458.823529100fair lightnessfair saturation (HSL)210075.9493610075.949366.9444444516.944444458.823529100fair saturation (HSL)fair HSL vectorfair hue11111111fair huefair saturation (HSL)fair lightnessfair HSL vectorbrownfair value (brightness)310054.5166.66666666754.516.9444444516.944444451.96100fair value (brightness)fair saturation (HSV)210086.3310086.336.9444444516.944444451.96100fair saturation (HSV)fair HSV vectorfair value (brightness)310054.5166.66666666754.516.9444444516.944444451.96100fair value (brightness)fair saturation (HSV)210086.3310086.336.9444444516.944444451.96100fair saturation (HSV)fair HSV vectorfair hue11111111fair huefair saturation (HSV)fair value (brightness)fair HSV vectorbrownfair somethingCan't get here -- please post project and screenshot to forum.This block reports the pen color
(as a color, not as a list of numbers).ca:✐ color de llapis actual
de:fange _ _
ca:agafa _ _
es:atrapar _ _
fr:attrape _ _
pt:captura _ _
contde:wirf _ _
ca:llança _ _
es:lanzar _ _
fr:lance _ _
pt:lança _ _
catchtagSets the pen color
to one of 100 preselected colors, like a box of 100 crayons.
The colors have names that are meant to be evocative.
They are organized in families, more or less corresponding
to spectral (rainbow) colors; the input slot has a two-level menu
in which you can hover over a family name to see the colors
of that family, each including a crayon number and an RGB value.
See Appendix A of the Snap! Reference Manual for more details.ca:✐ fixa el llapis de color _ _
grays={
0 black #000000=0
1 gray7 #121212=1
2 gray14 #242424=2
3 gray21 #363636=3
4 gray28 #484848=4
5 gray36 #5c5c5c=5
6 gray43 #6d6d6d=6
7 gray50 #7f7f7f=7
8 gray57 #919191=8
9 gray64 #a3a3a3=9
10 gray71 #b5b5b5=10
11 gray78 #c8c8c8=11
12 gray85 #dadada=12
13 gray92 #ececec=13
14 white #ffffff=14
}
pinks={
15 deep pink #ff1493=15
16 hot pink #ff69b4=16
17 bright pink #ff007f=17
18 raspberry #e30b5d=18
19 amaranth #e52b50=19
}
reds={
20 red #ff0000=20
21 burgundy #900020=21
22 cherry #990000=22
23 dark candy apple red #a40000=23
24 sanguine #c00000=24
25 maroon #800000=25
26 crimson #c90016=26
27 Lists #d94d11=27
28 candy apple red #ff0800=28
29 coquelicot #ff3800=29
}
browns={
30 saddle brown #8b4513=30
31 chocolate #7b3f00=31
32 kobicha #6b4423=32
33 sepia #704214=33
34 chestnut #954535=34
35 dark brown #654321=35
36 brown #964b00=36
37 golden brown #996515=37
38 cinnamon #b87333=38
39 copper #d2691e=39
}
oranges={
40 orange #ff7f00=40
41 Pantone orange #ff5800=41
42 pumpkin #ff7518=42
43 Variables #f3761d=43
44 Spanish orange #e86100=44
45 burnt orange #cc5500=45
46 sinopia #cb410b=46
47 ochre #cc7722=47
48 carrot #ed9121=48
49 tangerine #f28500=49
}
yellows={
50 yellow #ffff00=50
51 Control #e6a822=51
52 dark goldenrod #b8860b=52
53 goldenrod #daa520=53
54 saffron #f4c430=54
55 sandstorm #ecd540=55
56 mustard #ffdb58=56
57 gold #ffd700=57
58 egg yolk #fee33e=58
59 rubber duck #fbe108=59
}
greens={
60 lime #00ff00=60
61 apple green #8db600=61
62 Operators #62c213=62
63 forest green #228b22=63
64 green #008000=64
65 dark green #006400=65
66 dark pastel green #03c03c=66
67 emerald #50c878=67
68 mint #3eb489=68
69 Pen #00a178=69
}
cyans={
70 aqua (cyan) #00ffff=70
71 dark cyan #008b8b=71
72 cerulean #007ba7=72
73 iceberg #71a6d2=73
74 Sensing #0494dc=74
75 teal #008080=75
76 light sky blue #87cefa=76
77 deep sky blue #00bfff=77
78 dodger blue #1e90ff=78
79 azure #007fff=79
}
blues={
80 blue #0000ff=80
81 midnight blue #191970=81
82 dark powder blue #003399=82
83 cobalt #0047ab=83
84 denim #1560bd=84
85 navy blue #000080=85
86 steel blue #4682b4=86
87 Motion #4a6cd4=87
88 cornflower #6495ed=88
89 slate blue #6a5acd=89
}
purples={
90 violet #8000ff=90
91 Looks #8f56e3=91
92 grape #6f2da8=92
93 indigo #4b0082=93
94 x11 purple #a020f0=94
95 magenta (fuchia) #ff00ff=95
96 dark orchid #9932cc=96
97 Sound #cf4ad9=97
98 purple #7f007f=98
99 dark magenta #8b008b=99
}✐ last set ascrayon✐ fair?false1231Takes three inputs for red, green, and blue
values, each between 0 and 255. 0,0,0 is black; 255,255,255 is white. 255,255,0 is yellow, and so on.
The SET PEN block in this library lets you set individual red, green, or blue without changing the others, lets you provide a list of three RGB color components, and lets you provide a six-digit hexadecimal number, the form in which RGB color values are usually found online.
See Appendix A of the Snap! Reference Manual for details.pt:altera a cor da tua caneta para vermelho _ , verde _ e azul _ (0 a 255)
ca:fixa el llapis al color r: _ g: _ b: _
25500Takes three inputs for hue, saturation, and value ("brightness")
values, each between 0 and 1. 0,0,0 is black; 0,0,1 is white. 0.15,1,1 is yellow, and so on.
The SET PEN block in this library lets you set individual hue, saturation, or value without changing the others, lets you provide a list of three HSV color components, and lets you
use the very much superior HSL (hue, saturation, lightness)
color space.
See Appendix A of the Snap! Reference Manual for details.pt:altera a cor da caneta para matiz _ , saturação _ e brilho _ (0 a 1)
ca:fixa el llapis al color h: _ s: _ v: _
0.30.70.6Reports the current pen color as a list of three RGB values in the range 0-255. The PEN block in this library provides a large set of ways to examine the color.
See Appendix A in the Snap! Reference Manual for details.pt:a cor da caneta em RGB (vermelho, verde e azul; 0 a 255)
Reports the current pen color as a list of three HSV values
in the range 0-1.
See Appendix A in the Snap! Reference Manual for details.pt:a cor da caneta em HSV (matiz, saturação e brilho, 0 a 1)
Takes a value from 0 to 15 and reports
the corresponding hexadecimal digit.
For internal use of the color library.Don't ask.
Only for internal use by the SET PEN block.truetrueCreates a bunch of global variables.
For internal use by Color library.global✐ last set as✐ fair?✐ color scale✐ HSL✐ last crayon✐ last X11✐ raw HSL✐ raw HSV✐ X11✐ crayon colors✐ fair hue table✐ colors✐ brights✐ pivots✐ HSV brights✐ HSL brights✐ HSV colors✐ HSL colors✐ X11 catch✐ dimension names✐ dimension dispatch✐ last set asRGB✐ fair?false✐ raw HSV0100100✐ HSL010050✐ raw HSL010050not a crayonnot an X11 color11000hues1fair hues00hue101100021000✐ fair hue table10111smallest componentrgb255smallest component2rgb2552Red family8.7Brown/orange family17yellow501427.7522.334green52cyan67blue83.33333333purple9550505left of blackfalsehue603.61001003.6100100hue mod 100, other components cut off at [0, 100]value100color3.6index1index-1scale1255fromto1newHSVHSL✐ fair?truecolor300index15scale15grayscale15255fromto121✐ last set ascolor number✐ fair?true✐ raw HSL10050✐ raw HSV100100015866161216341656✐ last set asRGB✐ fair?false144partial matchestrue4matchhead matchestrueSUBSET throws here if it handles a unique match144partial matchesfalse4matchhead matchesfalseSUBSET throws here if it handles a unique match2015866161216341656fair hue
transparency
~2
(3D color spaces)={
fair HSL={
fair hue
fair saturation (HSL)
fair lightness
}
fair HSV={
fair hue
fair saturation (HSV)
fair value (brightness)
}
HSL={
hue
saturation (HSL)
lightness
}
HSV={
hue
saturation (HSV)
value (brightness)
}
RGB (0-255)={
red
green
blue
}
}255100We have to do this last test to rule out the vector options, which aren't numbers; their code makes three recursive calls and we catch range issues then.huesaturation (HSV)value (brightness)saturation (HSL)lightnesstransparencyredgreenbluefair huefair saturation (HSV)fair value (brightness)fair saturation (HSL)fair lightness✐ last set asHSL33✐ fair?false1✐ last set asRGB✐ fair?false✐ last set asRGB✐ fair?false✐ last set asRGB✐ fair?false✐ last set asRGB✐ fair?false04value0255131✐ last set asRGB✐ fair?false✐ last set asHSL22✐ fair?false1✐ last set asHSL✐ HSL11000100✐ raw HSL✐ fair?false1✐ last set asHSV✐ fair?false✐ raw HSV1310031100if USED TO BE fairHSL✐ fair?false1✐ last set asHSL2222✐ fair?true1✐ last set asHSL3333✐ fair?true1231322✐ last set asHSV✐ fair?true133✐ last set asHSV✐ fair?true123131pt:o texto multilinha _
Reports the part of the first string up to the first instance of the second string inside it. If the second string isn't found, reports the entire first string.pt:o texto de _ antes de _
Reports the portion of the first input string starting after the first occurrence of the second string. If the second string isn't found in the first string, reports an empty string.pt:o texto de _ depois de _
Reports the character position (starting from 1) of the beginning of the first input string inside the second input string.
If it's not found, reports 0.pt:a posição de _ em _
If input is TRUE, comparisons made by functions in the string library will be case-independent (so "FOO" = "foo"). This is the default.
If input is FALSE, comparisons will be exact.pt:altera comparações ignorando distinção minúsculas/maiúsculas para _
Reports the portion of the first input (string) starting at the position given by the second input (counting from 1, like LETTER n OF) and ending at the position given by the third input (also counting from 1). If the third input is empty, reports the portion from the first position to the end of the string.
If a position number is negative, counts from the end backward, so -1 is the last character, -2 is the next to last, etc.pt:o texto de _ entre as posições _ e _ , inclusive
Reports True if the first input string contains the second input string, otherwise false.
Comparison is case-independent by default; use USE CASE-INDEPENDENT COMPARISONS to change that.pt:o texto de _ antes de _
Reports the input text with lower case letters instead of capital letters in the input. Uses the user's locale's rules for case conversion.pt:em minúsculas _
err_resetThis block creates new variables on the selected scope: global (for all sprites), sprite (for this sprite only) or script (only for that blocks stack) with the names given (in 'names' list).
If there is already a variable with that name in that scope, it does nothing: no errors and no overwrites.pt:cria as variáveis _ _
ca:crea les _ variables _
es:crear las _ variables _
de:erstellen _ var _
globalglobal
sprite
scriptThis block reports "true" if there is a variable with this given name (input slot) in that context.
It can be a global, sprite or script variable.
Otherwise it reports "false".pt:a variável _ existe
ca:existeix la variable _ ?
es:existe la variable _ ?
de:existiert var _ ?
err_resetitemtruept:a resposta a _ de _ enviando _ e cabeçalhos _
GETGET
POST
PUT
DELETEhttps://snap.berkeley.edupt:os dados JSON _ em formato de lista
1235467890toReturnfalsefalsefalsetoReturnfalsefalsefalsetakes a snapshot with the webcam and reports it as a new costume, or zero if the user cancelspt:$camera a imagem actual do vídeo
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pink,15255,105,180,hot pink,16255,0,127,bright pink,17227,11,93,raspberry,18229,43,80,amaranth,19255,0,0,red,20144,0,32,burgundy,21153,0,0,cherry,22164,0,0,dark candy apple red,23192,0,0,sanguine,24128,0,0,maroon,25201,0,22,crimson,26217,77,17,Lists,27255,8,0,candy apple red,28255,56,0,coquelicot,29139,69,19,saddle brown,30123,63,0,chocolate,31107,68,35,kobicha,32112,66,20,sepia,33149,69,53,chestnut,34101,67,33,dark brown,35150,75,0,brown,36153,101,21,golden brown,37184,115,51,cinnamon,38210,105,30,copper,39255,127,0,orange,40255,88,0,Pantone orange,41255,117,24,pumpkin,42243,118,29,Variables,43232,97,0,Spanish orange,44204,85,0,burnt orange,45203,65,11,sinopia,46204,119,34,ochre,47237,145,33,carrot,48242,133,0,tangerine,49255,255,0,yellow,50230,168,34,Control,51184,134,11,dark goldenrod,52218,165,32,goldenrod,53244,196,48,saffron,54236,213,64,sandstorm,55255,219,88,mustard,56255,215,0,gold,57254,227,62,egg yolk,58251,225,8,rubber duck,590,255,0,lime,60141,182,0,apple green,6198,194,19,Operators,6234,139,34,forest green,630,128,0,green,640,100,0,dark green,653,192,60,dark pastel green,6680,200,120,emerald,6762,180,137,mint,680,161,120,Pen,690,255,255,aqua,700,139,139,dark cyan,710,123,167,cerulean,72113,166,210,iceberg,734,148,220,Sensing,740,128,128,teal,75135,206,250,light sky blue,760,191,255,deep sky blue,7730,144,255,dodger blue,780,127,255,azure,790,0,255,blue,8025,25,112,midnight blue,810,51,153,dark powder blue,820,71,171,cobalt,8321,96,189,denim,840,0,128,navy blue,8570,130,180,steel blue,8674,108,212,Motion,87100,149,237,cornflower,88106,90,205,slate blue,89128,0,255,violet,90143,86,227,Looks,91111,45,168,grape,9275,0,130,indigo,93160,32,240,x11 purple,94255,0,255,magenta,95153,50,204,dark orchid,96207,74,217,Sound,97127,0,127,purple,98139,0,139,dark 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