You and your friends are late for Snap!Con. You need to rush, but do not crash against others on the 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O/HYz8I6WkiskV0ixUsnniZ/HGTO+PZl0NPeUP00b+s+Bm5h9CmHR8RY26kdbTgqce/xrufPKf2jx/2LRQXVzCEGKCY+3std0d97cdF9UF8VL96Ly8GT3bpUiZlBNGzQ8gaPBsUqbFjYIqg+CY3rOkFEGvYEtlJcS+3t5ScyEYLWRzQgWqO9sz3duLND5+p5/pB+gvl2s7Ghui8fw8SVB63Did2J6As30TX1oVlLjUIwJ89uJmOxt+qzob9PHX1/I5rPsXmfW+on7x+KwPYoVhfTYU57KiU/XP/Xo5fPPtgrYl57Xd5eP7/vqP2H8qkZ93nwOt/24Gnf/ULRghOK/iNjV7QG4/uHUNiSsJjLzz7Gh79eRdOphFdkmfUe7qX1mrOKWu1oWsYDXFIjxNOLYMvae4B5VLJLftKuUUuJt0xeT6jEiFvguheLk/Jxbwcw3YalBeasH/DxYlxNwjAb9+8nK6Bv6kbFOemWKF10Q/uWonPl/9Z/ZRbupGDUoACBqafuGc5th0IDVZNAM97vRg//vkjav+4oQ/DarNiwYY7YSs3Y1CfkL4nnv0nvv1/Kjrw53+GLDWhc9EB5bj0+KsRQdETprBeJDpPp8SpKo4ZimkyhYycPb98TbWovqgzeoGNiyN915FQUmlJ1Q66PjIvsMXap/u8WuxY1pHqRf1Jxs110QYB+NCsL7Byc8ib/4+/voP33lrKTBcfnNR7XPybv/YOtbAl+4QVV40OibxjR3Lw0F3PKWfp2x8/W825xPkpTswwnW19hXWyjITJMOhrJ78KWCTEdTH0l+YazKa2s2GpA2OnhpIBzpVqupPCMd1zPbex445sS0JhZv2Jx42dfz6/NwjAe6fPx7qvQxyssKCM6VYe5WuSP61koZLCHKlD/ARaUrUzRMKdqpkZEd4XbeoCkzFVKcel1t1ngEv0IRFnArzLjehfV/mNV157OpNl53oX9m5z454nQoF6oSN7POg1qPlCkec7TvvWp9JwaNqDcL7XOvu8BgF4tiIdPjmk87jUghbRQ2qS+IFEiQ5QJwpbn83V2Yba+XqNCyOuOp0e1JRrlhb4EZOgVXmNG5cROFPOTIFyO4OIMIUsOltlAMcPeDCYCbOrF9rpz9ShgOtaujGbe+9Wt8qLjE3UIb2zHqsXOfCD3yQw2uLD9nUuZB724vp7LDiw3Y1pt1uQe8KHjt0uvpirayxcdgMObkpWLpGWpAYB2BIdqyjxw8AMa0lsbYwO7nSjez+jAkBGNwMV5iBdEadNf487iLVcRpCcrkfucS+mzIlSXGfZx3Y8+lQ8fZUavPVHrlfppceICSa1jCCeSwBGXh3JvLygyuSuKPWrtq+eZVZLCf7yVBm++2wCDRqotS15WT4kJOsUZ5O1Mx266MnVIuj0BV57sQLfZdb3CS5X2LzSBWsFrfyn4/Hq/5bjMa6D2b3JxeMNKuv7UpC4R7IOxsNa2rKgq3mvzQbATcudijtcM9usgvFnk6wLkQVHYXrvr1WYda9FTaCRafjd+oVioFtWOWW5CQzcl03QTLoxCu/y2I7ddPwzcBIDOLbPQ5BqMYpA6dRDzxR+D8qL/DhxyKvWmdSk4we8WPqxTYHnzu/GKq4lx3/32ZCB8q/ny3HvD2MV4HZQTMrqvsGjI/CXX5bh0V/GK5DJepSpt1rUoqn1SxwQjimLtJbPsyMiUoMUArzPUCPyeS9yTGwCAUX/olY++Hmu6V7NCUK/X4PiLAsKjseQy7W8mK/v3poNgP99qQITppNLMGXfw9R8WWRkiddiys1RTOkCVn9uVyvjrpoZ0jW+mGtTYuiL92xKpP3g+dCqujUUWz0GGLl+xIEb74vB4d1ubFvNxIbBRoyeZMKCN6wM0fnVAqZ+wyLUks7NK7j4ZTczdMn9HvpZnFp7MnZqSIzOf93KNSp6DBsXgYM7PeSGOqQRZKJaCqcVkoVUTP64LEnW4Eh0oTg7CiV0Arudl9eNlMf56ndEN2VG3v1LJfU+KFG0c6MLG5c60WeIEVcQNBu+dCL3pBdDxkYSCJFqFZ2IwgPbPSjhSrpILna6i4uVhLaSA6Z1YhiP3M5WFUAMuY/oVcJV6UFplEKlJwiu1vvQN3oPNQ+Q+xFfnJfO3yqKzsz98SrKIPvaAjUbANvCYLTEPSiAkYv5GSu1VRpxcm+C4mjfFGoH4CWYaXHseujULaKYzDsSG4qRnt+6pUvQ20t7iXYANsN4eygSreRaooNVFEXC55G0o2ZouA030aFDBwwePBiFZnvz6IBteKzUrYnrojTfrOKiLpuBybbnoJC29UGp5/4k2z0lhQmwCQmIjY3Fpk2bah0ZFRWFiRMnItdY2Q7A6tEh1yrOjWKWhxmVxSaKzcvLomxJvEtkbNy4cQzBhozJMMmyi8WLF9fZNZPJhLwI6zcXgMVZUSg4GU3rkokJbcSqbEkQzpx5erFXYWEhysrKUFlZidLS0nq79Y3SAV02PQ5tTYG1rPVEAloSME29tnC5gQMHYvfu3XWempyczBzLujOm6rtW2wcgxepxJk/mHT2dBNDUgf8mHy9icujQoUqfC5OIVBGtzUFtF4AE3oFNqSjNa5ksj+aYnJZuY+rUqQyJnl4mKqArKSnBtm3bVJmQ5qA2CUBxhexdG1qh1k6Nj4BYrXUBKjExEaNGjcKxY8dw5MiRxhs6jyPaHADXz+vW7oM7ByCIG2T8+PFqfXJFRQXWr69dzuMcmrngQ9oMAF12PbZ9GVrD3E51j0BERAQmT55cvaqv5lGLFkk11EtPbQKA2QdiGaQ/rSRf+mFsXVe0WCyw2Wx1dirsKnE4HNi/fz+KioqaTZ87n1G47AG4b32aWof6TSWJOHTp0gXx8fFnGAz1cTQxKrze5ltwfqHjflkDcNfK9G+8T6+m8zcMBqfTiVWrVjWbq+RCQdbQ+ZctAL8p4BPnbp8+fbBu3Zlrb8KTOmzYMOX8FVHqYYXSy40uSwDup9gta6NiV6INvXv3RteuXVWNvjDt2bMHWVmh6lVtiS47AJ7ck4Ccw203qjFgwAAFvjC5XC7s2rVLOYDbIl1WAKwsicSe1Ze/g1kcv5GRkVzgX3cNlyuvvBIbN56uP91WgCeLswwRfsQmu9BtcBmMkT7k63F5ZMMEuMprw6enOcPlNikCOknCFJ1NqKE0pcvt3hrqb6TZh0FX5yOCn3XRZQPAdZ+EqoJejjRjxoxazl+3243ly0NvIWprZLJwAdo1edAbG09YuCwAKJxPOODlStOnT1elTESPE2NCnMBtjbS6IPqPLURcStNKw7V6AB7ZnojCE2dm2bbGyZMwl7hB6grqizXrl8XHbYxM0V70HF6C2KS660aey+22agBeLvFdCerL2gfJApZUpbZKGr7CouugcqR0tiljojmoVQOwtet9AjoBX5jaoq+uS38CrquVxZmaB3Bng7bVAnDr4k6qAkBrpREjRiAtLVRX2m63q9DX5U56QwDpPauQ3quSr81t3IBojvttlQDMOxqD47vqrzXYHDd+oW2EASgiV0Tv5UgiRtN7VCGjb0WLFFCSMWt1ALzc/X2tGYg6fQDJnezKcGgt1OoAuH5+1/Ylks2IjqhYj3IEXyqR2tSutyoAHtySjJLsut+21NQb+yYfL1ZqrxElrCbWPAuHLuZYthoASvGeLV+0vpT6Xr16Qf6++KLhlxhezEk6l7bTulvRbVApayS2ftDVvJ9WA8DW6HKR4jmdOoUeCqlv0tAK/3MBSXMfExnlxcAJhZDPy5VaBQA3L+oML98b1ppo+PDhKnlASJJBpcREayHxzbWk5dqc49DiACxhMaCDm1Ka854uuC1ZCytrLYRWrlzZamK3fUYVIbmz/YLvrzU10KIAbK0ul/79+6Nbt25YsWIF34R+/nHO5pro7kNLlb+uLVKLArA16n3hSa6vWsClBEFMoguDJ+Zfykte8mu1GAC/Xpqh3hnbTrVHQNwnV96YyRSuy8uiPZ+5bBEA5rJOsrzus51qj4Al3oWhk9o216t515ccgPKKqG1fhl7W3BpIdL0TJ060hq5gwPgCxKc2LaGzVXT8AjpxSQEoryNYP6/rBXS3eU9NT09XazQkibSlHc1XzMiC8SKlPDXvqDVva5cUgAI+AWFrICllMXbsWNWVr7/+GgUFBS3WrTE3ZLbaWO3FHpRLBsCNC7q0msryUvVz0qRJamz37t2LzMzmf+nzuU7cyGnZjGTUvWKssTakRuShLSmoZD1EL18NISSGiynGix503YgV3drpkgBw0+dd+O6M1vFaA6mHd91116l5kaKLhw8fbrE56jOajuWM83MshxN2c3Nz1X3IGmNRJaT4kDjRJYworiRZnRad4D7neyzNNePozqRakSlJx49Pc6qFR81JFx2ArYnzhQdOKg+ICN6xY0dzjmWT2pI0qWHX5jbpHDlYXrK4fn43CPC2b99e63xZgSf1ZObPn6/WHgun79SvAhK+a4jkXXRbGBL1+fzYunWrWsFXc4GVAFvCkwJuybbpPappxcjru/ZFBWBrdjQ3eeab+YTxt5yf5S169I4du5CdnV2rR7JG5fbbb1f7BXyvvfaa4oLXX389Rs3I5rqOukW9LH0Qjiq6cF5eXq12H3nkEdWOPLACzmnTpvEVthqI+nChdFEAKLqJlMptp7pHYPiUHJippzWVKosjsXt1GhYuXNjgqXFxcarsrqxFFiAK1xo3YSTGzKq7uJEwig0bNtSb7fPoo4+q61mtVsydO1dtS1m4vqNLyA3PT4UI30CzA1BezLfpsy5NHdtvzPGyDmP09edX5WrbkgysXbmzUYtdsnhmzZpVPabCCQUwdXHd4pwo7F4Ti6VLlzY6B7K+2Ww2q0VYIpKliv75cvKLAkB5xdX+DamN3silPECSSS9WhffzuY+xN5087xDbRj7Ya1ZtVG8gaojuuOOOM16ZtWzZMvWCmbrAsmN5R2xef7hRZ7zofyNHjqy+7AcffICrrroK42+mKnEBnrVm44A7v0qHrbz1vYEoXEFUHM3N9W6L8wGenJPY0Y5+Y4rO93QlWUpLrFizZk2jbUhRS0mmldJuVVVV9XIr0f22bz2E48ePN9jmmDFjlGUdpnnz5kGqeI0jAKXq1fnSBQPQ79Vh0+edWo2DueZAhCsWiEW3efPm8x2jZjtvHLnfhazTkLcASLUIeZiaUupDjAYRmXVxQKk0W1qgwZIlSxq9TykpJ/qlZIaLOJ4yZUrLimARtyJ2WyuFuV9LvYKg5rhITbxBV11YkkEFXxW7d11oMfy5gnDChAkKNFKpasys2g53R5UR25d1VPUIm1IEU8ZWq9OGRPAF0HlxQEmflzT61kwiHuT9ZlLWVkpmtDSNvZG6XzMsGBLvQn5+garKIHWh6+PsIn6HDBmiCiZJ4aSR03LqXTuyTjwW9FyImyUnJ6fRoQpz1OFTcmnNX1hd6qYBUDr5VUfY+Xbw1k6tSfcTJf1COUV4vMOO6JMnT0LediROZyFxt4iOK64X8dn5fD7l1xs9ejQ6stSGVCStj2pmpotoFwe3gLvmCwmNRqNyRIevl8p6MbL080LpnAFYxTeG716VfqHXu6TnS2q9vIylpamp4bBz6e+WhZ3hYfRCgCjvcpOClwJACTVKlEfWtQgQZVH6uZZP28plsW4uj22M+tKQSqJB1RzUKADFqfw1/U+Sx9dO5zcCF+orq++qMjf7qBPK+4/9vlCsXYwciXj0JHeKo97ZVJI25S0EVdImfbrVbUb60X1IKRLSm7e4ZoMAlFfWb/midet6TR3gS328gcr/6DqU/0vdj9Z6vXoBWMwSGYdYKqOdLmwEmkNRv7AetO6z6wTg0R2JKDje+svitu6hDfXuYonfy+Hez6WPtQB4gi+CyW3DL4I5l0FprmOkcPfY2Sebq7k22c4ZACyno1OU2suVwpnO8jbIcwmuX+z7TOzoYOjtzATOn3xrCSZO68YUfC2mze55sbuA/7y8HTfd0w8JSbXfKPr7p9fjrkcGwRihx/N21ugAABgxSURBVPuv7cH3fzm60f5cN/RtLNl5b6PHyQH3z5yPNxfdVOexN094H/PW3nG6QGVrrVJwTnd66iBJvhQQ7ty5UyVstjSNuSGLQDuztvKNV74Hc5QRf3pzGu6d/gk+3XAXZo+di49X34Zn/t8q5Jyswr/n3YC1yzKRkh6FE0eYTNo9FldOPF057PW/7lCASu1owa9/8BU+Wn07Hr3lMzz526tQUmTHuuWZ+PWfrlG3LwCcOK0rfvfLdXj5ren4ycNL8Ld3Z2LFwuPYvDYXtz04AEajDh+/tR99BiYhPcOi+jF/3R345XdX4MY7+yIq2oAhI9OYDBvElCFv4fPNd2PW6Hcxj8fMmfghluwIAXLK4DcVqFYtOYnJM7vjkZs/wxufz8bSz45xXyaefGE8Hpg1Hx+uvA23T/oQ76+Yg4oYQ+hNSa1pwdD5AifsfF68eHGreFVpXfrfU99bgd/8bbK6xamczKW77uPEvYUvvr4bG1fmoKLMiWk39cLMUe+Qe9wMt8uPD9/Yi58/f7oY+hP3LsaUG3ooED7341VYvP1e3D75I3zACRUQLNt9f/UQCgBn39UXv/7hKrz07yn48UNL8Kc3pimAb9+Uj7u/PZiREj3e/ddudO8Tj74DE/HTh5fhkzW34+XnNuL6Ob3hcvox9IqQZLx20JsgXtTnMuk770G+C330xj4F2Bkj31H77pn2Cf7x4SzMe2c/9u4owv/wHr4953M+bLerh+7TDXeGOOBrc/9fMOfQ5f0CQIkASDq6UGuI/Uo/6gLglrU5uGJCaF30wg8P4frb+qC02IGNq3Iw89beKrNp4UeHMHZSZwUw4VSWGCNGX3V6LfXXG/K4BoS+vr4JkO2ZBMkychkBZbjNMAIP7C5BWYkD0TERGDwyVYEuLd2iHtCMrrFY8ulRXEdVYN2KLIyf3FlxK+G4vfonYvfXhdyOY+JDAEkpoZi/1+PHlnV56D8kGetXZBKgfarTsVzsk/RDuJ/ZYsA+gm7AsBSsIdjlvHG8p9VLT+K6G3syUhPAplXZ6DGti0vzzDPPXPY1IJKSklTYqby8XGX3tjRdSOJpS/f9Ul5fccDmBKCGUW2thnqPBC1JjEyqzyDDQrImOMjvgnb5VBsXkkxWY6R69uypKlpJLb/63kJ5KQdWwl8SBmunhkegGQHIOKTOD7POBb3XDquNSwEJsEidBhECPgEaxWRQq+O2DgF+Bvjph55/XLsAficoA6dAekFptvXcs8RGheRTtrTh79XHy0MSZH/Y8VPHNCXvruZlO/crR+f+Fe34a2QEmgWAGk0AJoMXsUYb4LIxa9cFGxXXmEjGJZm4qOdsh6ZcsT6BQOifVv4YbxRQCiB1BKPOCJ/GAB+B6QueAqmqphD+a9qchsCmgZbA0vBPLDnhzhLzDMh31R2tCuJL0qZ8t7ocKo1JMj/YRbUGoqnZ1A2lPzXtDtr20ecFwNBkqBlU6xuiI91IiLTB53QgJ9+FkZ33ompXAV7bZMPQdCP6+3kclU6+pgKdopitkWqErosJkWkWWLUWFFhjkW1NhM8vwW+ChaDUEpB+nYGgNMKjNVJRMJJDGsidCFZyzMZIAKXTG1BcXEwQaREbZYElNg5WZo+UlZEzRZmgpcuGmZrQMLEypBoE4fP6mFlCLq7XoWundEQwDcnjccNaZT3FPUMctDFqj4A0NkKh35sGQAFe0M/MCw8Cbq7ED3iho75nNnpg0PgQpytF75SjWPtFEdYdd2PmQBM4twSojp8aimgNjPw0GjRqPxHF5oJwOvzIzXajd0CL6IFRiO2TgEJPIo6WdyAodfCQAzoJPC0TK7UR0XAEzfAH608bEvDFMSUpNzePqgDThgTABJVwOK/fp7hZkHlvHo835K4hntxOFy01l+KMfi7OLi6mBdilK66ZeBWTWjPVOQGeExkZQd8eM4PUQ1g/tQOwWQFI/Y5A4zRywrzKhEbAB7Oek+q3soytD91js9AhrhK7NlTg76sqcWUXAxJMWlhM5FiiUrE/lMYwMwJgMmphoFxW0pf7DaIn8rv6lD8eo3EGkHXCgbRIPVJHJuGQoTMOFacgPjYCPlM8Kj0WgvDMwuYKWGzPYrEIH1VlNzoTRO+//z66dO2mOJfb5YTNZlNcTb4nJCYiJTkFPgGi4r46tV90Px8jKqNGjUDfvn1QkJ8HB0FqNkUqEV5Fjuhw1J8T1w7AZgNgkEDzIN5sh0nnVDqRhqK3Kvsg7FVloLsHXKaCE3lu2Kw+lNoDqHAGYfcG4ZC115wsMzleHMEYb9LAQm5oiRQRq4GHQBZwGgm+SB5jUI2LccB9BKICKZtIidYj306/1+AErMoZQZ9UFJw6gtBlhskcDUk8lSJDpVyuGKDPKoKLZ7Kyc6iLlsJJwMXEJiAxMUEBy0QOlkLdrmNGR3TsmIHYmBiVsq436KmKkstSXAsJdxSQ6niOiGFDBEU179tI7rp18ya4fF7ksaKWk2pHXdQOwGYCoIngS4mqRFSEm5MTxJiuJ9DBwpfbuelq8YSUeg9R5K304ePlJbi6RxT2F7hxrMwLF393ewMEF8EXycnnZ5Xdj+MlPpws9aLUFlCAiTNr0TWBYjOK3If99vmCp0Q2uSbx4CGYFx1w4b4rLOg+JgNHKwYjLsmCEnc8+g0Zh6SkVLWsUMpKxLA8hThOZT1IfEKiEsMZGRlITUuh2heKhwq38zNl3UuQycIaEasinnXC/Yh+9XC4PNjw5rvYvfwr2IqKEefxoYMhAp3j2O5dN+FQRRm8qUkoLCqsM+rSDsBmAKCeel1qVBVoKiBQ4cX4tN3kJD66UKgniWnLydOSc+nJ0QQoWgJH6yJX8wRCLg4CViMWrFKshBkGkVvkxqajThwt9KG8ygMbj+8cr8eQjAgczHHjYL4HWaU0BMgd06O1SI6h/sh7YUQKZeSuj96aiixPV1RqMhA0ROOKa+bAFBWPo0ePqWsOGzGS+hz1U+pxHn6aY6JZ+NHELOFI+Hn90DoHAp8fUgFfUtmlq7E0UGSpofIW8b/jb3yA8kVf0prnMeSOlRTJFeTKTv4+ZPpU7M3NROdhQ8h1S+uspN8OwAsGYBBxBgdSTBXwMFQ00HkcfRLzUbCgGJnllK3U7TwpRpgInKSuJsTKdoweFn5GUNyChoWEZrR6LYzC2fgZkt/8IxAEpBr+KYuahoiP29nZLsYQ7cgq8Si3SXq0DlEE+uZjbuSQY6bHaTGyUwQ6DYrBusIR0BkiMerKSTSATDix6yCuGDwMm979CJbjWdQXc2GhOE3r2gV9uEIuac6NMHfrwksL9wsoo6SqsgrlZeWosllVBEXqqYgOIIuwHXS9fPLBx9RN9XAQqKUV5UrE23jsjBnT1bEDBw1QIriqjpfYtAPwAgEo3K8DwRcJG/KyHJiTtgX5Rx3osbcKmuMESH8Dcnd6cFwMDHInUfcELEG6WEY+1x3JBGW1pXgKdAI09ecm+6GRIXkiWgGrRa9En3LtUGyD+l7QzU8BCvXKLYfs2JflwkmK9ViyQ9Ehd+e76SaJwrV3/Qh5B8pxctsh9Bs4DOVL1uAkuV2eUQ83Qa9hLZMOfXujz4CB9OslIiszC4MIyqi9R1E4qCcqWTXARU4pnLBP375ITU2jlS6uHmDBZ4tQxKwa0QMrabgU0qWTT2PEQJ3wyjGjKebjleguKS6q5SdsB+AFAlAs3AxTmbL8PMXkfjGZeGVuPjomsQAifXkWcqiOXPPSnbIxhngyEjg6gspIfS2vmwmDX+wVApTM5KmXb2uomykuyL8guSNnVv2piJz8CSJFtxTwRQgwQ0AQbuon4EoJwGUHbZh9TSL8NExsxvHYtrcYR0+UwBaMQ2rn3vhw3mIYLGlISk1XAOlHAyVI19GsG2appYpuuwsdyq2wkcPtDbhQbrVRhLrpCnJQvUgkSJOU1RtlNqmQ3n9ff1N5CLXikwwwZkPTXeLOXq+HnNRLoyaSemZOLT2wHYAXAEAZ8HiDDanmchSUudHLtQ4GJss8/+8c6kkaJBIYFgIklpwolhwsOkKHSocPTrLBUpsfE/tH4dZ70pWeGKQeqOOkiR/wlJErqqHy/wmwQNEr+pi4YDQJNKmrDxJEEpZiKRPYYDaFvdgLQ0e6QUSSM9KiIyfV0LCxW1gxYJMVBanXYv3Gr2EPJCAitjtP1WHUFaPolonCxKuvIugccNAv6BRrWZgtryluFyMtXDFEpPSE6IGSU2g00OplXxw8p8papfbLhQP0I/r4IIlFvX/fXuXSyc7OUkZNTWoH4AUAUCKzaRS/MUYrjuU6cYV+HXwE24uv59GVwl85eQnUz8b3MKOKRsSwzhEooxVcRUB0zoikExm4bVoirEUefEjLmDhAerIRXbuakcLftQSNJCZoqY+JHuh3BBDfiZNPwIb+nSLl8hGwBrD040LoaUH372lGgPqnlhxQx4fAEEUdUz5pSZe7E/DJlmikd+kFnaU/DNEdyQEHIJ6lKcSv56bVKzpbJN0u6jrK6BCneGgxt3A3IQnDlVPHqyivpIiuxBVXsCqUPDTsr4DPQ/+gx+vHrh3b6Hqy4iRf8+AnMGvS8KmsARjd9BqA5zZtbeeoOiMheq0PHaPKKQUdOJFdhXHx27Dqayt2URcTf56NQBvbPVIBcdLgaBSVsvwDncubqKcN6hWF6bNTlc8sQBeMl9xLl8T4Lq1oR6YTFQTU8eN2bKQl7CL4OlOkZ6QxXNcvGuY4A/UrcksGOQzU38QPKHwn77kT8B10oozGz1FyTiuvSz6INHJiF8Hfb0YSkghgEdt5sfcjOiMVuph0BC19EGGOJTeLUKCR1f5ZLEhezGJFlQSYj6BUaid/c9PQEIM9QOtZRK0YHGJouBxOunDSyBUjWYmA/gDqjPEU1VdfMxn5tIRFfGeeOFZLBKexcoCszW2nhkegTgBG6LzoZCml05UhNl8RepsO4XCuC2/OL0J/GhkUihhFTtYjLQK7CKoetHxtBFzXDJOyUM1KlNLeIMB85IyGVHKccnKIdwvhnxCDPEZOBCwRdEqbCM4gRZ2LAM3PcdKB7EIeAd0j0YheNGRiCMoPvyhBRAF1N+qG3ejktvDTX+ZTzu5oWsa5xT4MSCZq7+kAf2JHuIc8Bm2HGBR70nDgWBEOHTwEm8MGO8WvjlatJBcIR5RPccW46Kz2kaP5/PRdUu8T0avjUyC/FdLZLN9vvfU29OzRg75DD/U/Lw4cOsyae/0ITDPycrJrZZWZLF6MuK7xOivfdIDWCUCz3o1OMWV0QfgwOOUkOsWWwC/qGHUm8QGSQVKZpx+PHO/wcQedzBRhBFMGuVCngdFKd5OgmJ863uGN5SwNEUGlXqcc0lhbgWMd9RRzjFjwuLJKL5LSIxFBrmqnYdNnfCK0Nl5AiWNJVNFg8cIi7DniQBKv4yMHzCEnFP3TSSAOqiC3Jt6T+AC4h8YikaB9P3s4LJ3MOJzHrNu9+SoJIT+P1izB52WygVR8l9a91NtErIYsnZAlJJEQ6bv8bqf+V1FeqiIkMTGx6NGjJxIYYzazJouZRoq85EaSHaoqK2gNnxmbFvVVaue1U1M5IEEQbXQgI4aDqgtgcsedjC6Q54nlIL48sVz5odKaVBaJJJvKJqeMjmhF4tvjdkAMDIpgZQhL8RzuK6UhkUtu5qKxEkku2IHgM9NPaK3yIYIO6SQCR1tMN0+ygb5DNkwp+d938hAgUMd1N2Mv48PlBOsJWsQO6p+78700iBjjJRjvujIavXpbsEdzPTqk6HAgy44/v76Q6eGhNc7iPpHIi1iwAfZfOJ9Ky6LIlU5KVERAr7JxuG1gNo30W74LN+zUuYuyqsVASUmRRftUB6gDxtLZLe6Ys6ndEGn88auDAwYRa6hCRpyVWAtidq9tytIMzZCanVOfIaeygE9lJwkwFfhOAVAAeiptSYGV4hJVXgSNPIfbQernKkgSPpwTnUvxW0Lu1oWWbjJ1ST2NDbGSbVlOfL6qDL1YlMvJPNdEgnPNARuqCO7DBLTw230E4tN3pykDZ9HJ3tB683GQANy0r4TO8Ahl6YolK5kyAiD5lBiw7JdP+S0UBw4lNIiDXEJzEpYLk5wTZWFkhUBWRgv/YmJjkESdMGzA1Bzy9J6VrKfScDndxqeoZY8wGVOo64uBxWCBX+LektVk4j4/JUgVE0tSGNMns9LHKHeX21vBfcmMOrmZeWRVEkbDcY3QJ6j9NhcDBJEdUWE/pG4sTx84KyWfJ8QbypEeT12IJujMHl8zOTTkHfGSg5noA9QSRFpxsXC/l4ZGgGLRS3FriiHXEteGuFQkATSccawY4ymfYCgTNARO8QfKd3FMsw2VzeIKAV0j16GYVSDnb/uWF8NBcObkupUYJi5xlNGRw7S0BdsmMqB7bk2Djn7J+ce6MXOnHLmlGhQ4oqGPEKd4iAsrFsfrqDJmwulUMqoALZSUKkAUblZzW77L7/IODR05o56cMQRmHcEbWUv81oTM5c4FOyZMIqgYAXJl0yaI5TgYCZ6D6hbNxlQ+zHHqd6M+HlWOI3xoIxFr5ko6XymBWcUxs6l9afFj+b2SGLKh3H5AZStRRtaRD0hxFKMtQUaSm2LHj8GR6+HmpP3rrTzaDUGcYF7muK5GmAmOZOp1G0+4mKBA44Pi00ILdns+DYkKhuEIskSG5now8bRfnyj0IkfT0YIWIafCxIqxnOYuYjWHgHlq+kTcq/xD7qAP0GOl22NzObIonntznWoeRfAWimMrHdeiHexkPuEvH+8Ejc2Lecd7Ijk2iMIqRkRsTDxl0qkAJswBw+CSTwGW4n4qCTbkjqn5F94XBlXNY9QdnHrI6uNT6T2rVFWptkyJlsGM0+8N6dNNpNoimHl+Jl8hOqf6qJd5kFS5CkkdInB0WyW2H3dCT1BszfViSj8T7Ix+HGfiwI4cGgXUw6KZ8TK5D/e7fSo5QYSjg+ypJ0WmxaxHGUVmAUNrBiYwxNOP1yM9AmNHxCKZup2W4A2FikX9F5Z5yh8YTn6mmiYp9BIsEfeOn45oJ0GZTfG8cWslCgjMm29IgZe65Ze5A5CWGIlSTwLK3BQNKs/vNLhqAqfmOpG69te3rynj3FAl+QhDIsetEwUAs64dJ5kR1JdLArLYXz7QEemwOrPh8pYiKXooRRrzGCnWnO4CJQZlwuOiyG08ZXyIqEroEhkI2MWHbyTVk2NMg0tTwDAbKRl4vN2Vh0hjPHXnAvpxB6PUulO16/PbmfxRyfHXU0ymqjYEVC5yNre3hJlQ9CyQm/kDTopSnu+Rag8BxJh7UPMyocy2l9vdyQWj1TXs7lwkWAapPsSRG2q49qe4artqP9rUNWSgsi2Z5qP+3DNFcIDZzlpHIbp3oFHAkrLaw19i0oREJX49FH1+gqCSWSkF5EBvzy/EesaFJQJiplhOsTBZoLOIJ9CI0aM7XSx78rg+hCI2Wnx0dMlIMqrobj7RsSiqU5jt0iU5AhXktmUUvwmxeqQRsEP7WtCf4NRz1b6oZgqH7EOYQYbMHcluCbl7/OSSPhoiXoYHl2QNVzedZ+MLW9yynjXE1WpSY5yrsd+bAsCGXsuVHM3XxXIyq5wn1aQa9HHqHh0EmVoeRZBZIjP4QBs5aZLB7VEAEL1KJlenlfsLKLEmE5sYNYgqiZ2iz0FgcjmC1qBEoVaWNATD5XTlSQcTiCegqHKzApXTW0wvRbISk3FRvZSOpuXaHAG9hsCR6+spSmUmPL5y7qOBRt1Q+iGZ8ZERKXwwTpchEd1Q+u/yhLi/Xm9hTmkflFlZLllyLKkTOjz5tUVwgL4wbwUXL1vciCegKncvVKUbOjJfbxD9fNEUu5LLt26HFf9YI5Yy9S+CKo8e5kjqYclRIRGr7BX55H8SPbESHFSZlCM7jaAzkQsKB5W0q3i2SfVKcbjQQiW6Vehk7kpgVoklTbSZCeib7u6oMqd1fBAUnuQ/pVNym9atRFcKyqOxqaAXn1wdcq0JsHn46ohGxGRTwHS+x155YybdQE0XUed7vYbOM+hiCKyqWocYCBLR0S4GmQlIh6f2KypqiWBZ9+CsLGKslYolqzuV7V2h1kpEUeczk4tlUuRmM13KRdFaZKfLhqLXTg5oI5gEdMyYJ6BE0wsZIYIPlkIhAEOAlJw8efxERKscQh4jIE5mRkxvcr5uiQYqsMyCIbc7WuLF/nzGmAnOGF7nih4RmH5VAmuYWBAdzyeSIl8JakkWZLtyvc0HkpAX7MybNSCnKoE/tY561gI+AWE7nTkCAsD/D52Jg8G+1fjFAAAAAElFTkSuQmCCYou and your friends are late for Snap!Con. You need to rush, but do not crash against others on the road!Call f(f(f(...(f(x))))) n times where the three input slots are n, f, and x from left to right. The # variable can be used inside f to represent how many times f has been called.

Call f(f(f(...(f(x))))) until condition is true, where the three input slots are condition, f, and x from left to right. The # variable can be used inside f or condition to indicate how many times f has been called.

Returns the function f(g(x)) where f and g are the two inputs.

Like the built-in REPEAT UNTIL block, except that the ending condition is not tested until the script has been run the first time. So the script is run at least once.

Run the script repeatedly, as long as the given condition is true. Runs the script at least once before testing the condition.

Runs the script repeatedly, as long as the condition is true. Tests the condition before the first time the script is run. Like the built in REPEAT UNTIL except that in this block the condition must be true, not false.

Runs the script the specified number of times, like the built-in REPEAT block, but this one provides the # variable that can be used inside the script. Try REPEAT (200) MOVE (#) STEPS RIGHT 92 with the pen down.

1110Provides LOOP as a function of one input that runs the body of the LET with A set to the function input, so the body can run itself recursively. See COPY block in Variables for an example of use.

new valuecopy VALUE N times reports a list containing N (identical) copies of VALUE

Accepts any number of scripts as inputs. Launches a separate thread for each of them, so they are done in parallel, then waits for them all to complete. This doesn't change how the Snap! scheduler works; the threads are not truly asynchronous. And there is no increase in speed. Rather, the point of this block is to allow starting synchronized but independent scripts.

pt:executa _ em paralelo e espera ca:executa en paral·lel _ i espera each scripttestAccepts any number of scripts as inputs. Launches a separate thread for each of them, so they are done in parallel, then continues with the current script while they all run. This doesn't change how the Snap! scheduler works; the threads are not truly asynchronous. And there is no increase in speed. Rather, the point of this block is to allow starting synchronized but independent scripts.

pt:executa _ em paralelo ca:executa en paral·lel _

Simpsons:d=4,o=5,b=160:32p,c.6,e6,f#6,8a6,g.6,e6,c6,8a,8f#,8f#,8f#,2glistlistnote

0note 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