My first SNAP project BUT I HAVE MANY ON SCRATCH... Also I code on Python. So I can do this better but I'm 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feb59Op3dv4hncM4F1ERDgdXkS7mOrBbYhvpcekAhv9ao63DEKCPAxYhs1ToFtiq8Ij3OHnXo1AgK8GlfvSuDLAqdPn759Z2fn7Zv8aedv9igvfSS8v79/x/nz52efWvcPAQILCAjwAlguJbCIwO7u7u29962M79d/JFxKuWMymYjwIgvi2tELCPDoVwDAKgTGEF8RXsXmeM8xCQjwmJ62sx6bQK119m1G/7mpX+28KNTs09G99++YTqezX/DgHwIEDiEgwIdAcgmBRQR2d3c/33u/rrV2cpHXbfq1tdaLpZQHJ5PJ0zb9LO6fwHEICPBxKJsxGoGXvexlr9jf378nIn63tfYrozl4RNRafyciXr+zs3PruXPn/mxMZ3dWAkcREOCjqHkNgW8iUGt9pPd+cTqdXvr1fqOyGobhoVLKydba1aM6uMMSOIKAAB8BzUsIXE5gGIbZj5i8bW9v7/p3v/vdHx+j0i233PKcEydOfKz3fvd0Or19jAbOTOCwAgJ8WCnXEThAYBiG/VLKp1trzxwzVq31U733Z/iCrDFvgbMfRkCAD6PkGgIHCNRaZ78x6PrWmq8C/srfB8++CvxjrbUbLA8BApcXEGCbQWAJArXW3nt/73Q6fekS3m7j32IYhr8qpbyk9/7b0+l09luU/EOAwNcJCLCVIHCFArXWL0TEta21q67wrbbq5bNvS4qIE601/57ZqifrMMsS8AdjWZLeZ7QC80+3/nFr7adGi3CZgw/D8P5SygsE2FYQ8CloO0Bg6QLDMLyzlPIqkbk87fxT8++aTqevXjq+NySw4QI+At7wB+j2cwWGYZh9+vkJY/2+34P0Z98XHBGPTqfTJx90rf+fwNgEBHhsT9x5lyow//Tz+1trL1rqG2/Jm9Va3xcRL/TV4VvyQB1jqQICvFRObzYmgWEYvreU8tFTp05959mzZz8/prMf9qxnzpx52oULFz7Xe79hOp3+62Ff5zoCYxAQ4DE8ZWdciUCt9UO995v8wInH553/gJIPt9aet5IH4U0JbKiAAG/og3Pb+QK11ocj4kuttafm38363kGt9f6IuKa19sT1vUt3RuD4BQT4+M1N3BKB2Vf4RsQfttZ+ekuOtJJj1FrfGhGv9ZXiK+H1phssIMAb/PDcep7A6dOnX7uzs/NWUTncM5j9x0op5eOTyeT6w73CVQS2X0CAt/8ZO+EKBGqtX4qIU76693C48+8H7v6+/HBerhqHgACP4zk75ZIFaq0P9N6vmU6np5b81lv5dru7u3u9973W2hO28oAOReAIAgJ8BDQvITAL8OwHcLTWvpXGwQK11i/OfiBHa+0pB1/tCgLjEBDgcTxnp1yygAAvBirAi3m5ehwCAjyO5+yUSxYQ4MVABXgxL1ePQ0CAx/GcnXLJAgK8GKgAL+bl6nEICPA4nrNTLllAgBcDFeDFvFw9DgEBHsdzdsolCwjwYqACvJiXq8chIMDjeM5OuWQBAV4MVIAX83L1OAQEeBzP2SmXLFBrfTQidlprJ5f81lv5dgK8lY/Voa5QQICvENDLxylQa92bB9ifoUOsQK31kYh4yPcBHwLLJaMR8C+P0TxqB12mQK31YkSc8LOgD6daa92f/+aoaw/3ClcR2H4BAd7+Z+yEKxCotZ6JiLsF+HC4898cdVtr7ezhXuEqAtsvIMDb/4ydcEUC86i8vbX2mhWN2Iq3rbW+LSLu8B8rW/E4HWKJAgK8RExvNS6B+W9EeqS1dt24Tr7YaWutD0bE1a21axZ7pasJbLeAAG/383W6FQrUWj8QET/sVxI+PvL8738/2Fp7wQofh7cmsHECArxxj8wNr4tArfWZEfHJq6666tn33HPPJ9flvtbpPm699dZnPfbYY5+IiGe11j61TvfmXghkCwhw9hMwf6MFfHR34Ee/Pkuw0Rvu5lcpIMCr1PXeWy8w/4lYp/z95uUf9fzvyS/4/t+t/6PggEcQEOAjoHkJgUsCtdY/iYjX+ArfbxrgHhFva639hK0hQOBrBQTYRhC4QoH5p6HPtdZecYVvtVUvH4bhXCml+iK1rXqsDrNEAQFeIqa3GqfA/NPQ3+7nQn/t85//tLD/8unncf65cOqDBQT4YCNXEDhQYPZDOUopH5xMJj9y4MUjuGB3d/dve++zb9Hy75gRPG9HPJqAPxxHc/MqAl8jUGv9SEQ8V3C+wjL/KWH3tdZutCoECFxeQIBtBoElCcx+Q1Lv/T+m0+n3LOktN/JthmH491LKd7XWTmzkAdw0gWMSEOBjgjZm+wWGYXhzKeV1vfebptPp32//ib/xhMMw/GAp5cO997dMp9OfHaOBMxM4rIAAH1bKdQQOIVBrfXh2WWvtiYe4fOsuGfv5t+6BOtBKBQR4pbzefGwCtdYfjYj3lVLeOJlMfnFM59/d3X1D7/3OiHhRa+1vxnR2ZyVwFAEBPoqa1xB4HIFa62cj4mlj+zvQ2d+BR8TnW2vfbUEIEDhYQIAPNnIFgYUFhmHYL6X8T2vt2xZ+8Qa+oNb63xFxrR+6sYEPzy2nCQhwGr3B2yww/1T0X0fE1kf4Unwj4sU+9bzNW+1syxYQ4GWLej8Cc4ExRFh8rTuBowsI8NHtvJLAgQLbHGHxPfDxu4DA4woIsAUhsGKBbYyw+K54abz9KAQEeBSP2SGzBbYpwuKbvU3mb4uAAG/Lk3SOtRfY3d19Ye/9fZv8hVmX4ltKedFkMnn/2qO7QQJrLCDAa/xw3Nr2CXxVhPv8xzX+/CacchiG35//mM2ys7Mjvpvw0Nzj2gsI8No/Ije4jQLzX1jw9Ii4sL+//2Pnz5//u3U85+nTp5+/s7Pznog41Xv/zNh/0cQ6PiP3tLkCAry5z86db7jA6dOnb9rZ2Zl9r/CpiPhsa20W5LX5p9b6mYiY/VSr2X8kvPj8+fMfXpubcyMEtkBAgLfgITrCZgvUWt8UET8XETsR8aHW2vMzT1RrnX00/ryI2I+IP2it/ULm/ZhNYFsFBHhbn6xzbZzA7u7uP/Xevy8i9kop75lMJjcf5yGGYfjzUspLI+JEKeWfJ5PJ9x/nfLMIjE1AgMf2xJ137QVqrfdHxHURMfvzeSEiPhIRd7bW7lvmzddanxsRb4yIG+efBu8R8WBr7anLnOO9CBC4vIAA2wwCayowDMNbSim1935dKWX2Z3UWyNkvPXhva+1VR7ntWuu7IuIlETH7JRFl9qXYpZQHe+9tOp2+7ijv6TUECBxNQICP5uZVBI5V4MyZM0+5cOHC3RHxAxHxpK8a/mjv/bHHu5lSylURMfvfpT/vD0XEP5w6deq2s2fPPnCsBzGMAIH/FxBgy0BgAwVqrTUi3hYRDx/m9nvv15RS7mittcNc7xoCBFYvIMCrNzaBAAECBAh8g4AAWwoCBAgQIJAgIMAJ6EYSIECAAAEBtgMECBAgQCBBQIAT0I0kQIAAAQICbAcIECBAgECCgAAnoBtJgAABAgQE2A4QIECAAIEEAQFOQDeSAAECBAgIsB0gQIAAAQIJAgKcgG4kAQIECBAQYDtAgAABAgQSBAQ4Ad1IAgQIECAgwHaAAAECBAgkCAhwArqRBAgQIEBAgO0AAQIECBBIEBDgBHQjCRAgQICAANsBAgQIECCQICDACehGEiBAgAABAbYDBAgQIEAgQUCAE9CNJECAAAECAmwHCBAgQIBAgoAAJ6AbSYAAAQIEBNgOECBAgACBBAEBTkA3kgABAgQICLAdIECAAAECCQICnIBuJAECBAgQEGA7QIAAAQIEEgQEOAHdSAIECBAgIMB2gAABAgQIJAgIcAK6kQQIECBAQIDtAAECBAgQSBAQ4AR0IwkQIECAgADbAQIECBAgkCAgwAnoRhIgQIAAAQG2AwQIECBAIEFAgBPQjSRAgAABAgJsBwgQIECAQIKAACegG0mAAAECBATYDhAgQIAAgQQBAU5AN5IAAQIECAiwHSBAgAABAgkCApyAbiQBAgQIEBBgO0CAAAECBBIEBDgB3UgCBAgQICDAdoAAAQIECCQICHACupEECBAgQECA7QABAgQIEEgQEOAEdCMJECBAgIAA2wECBAgQIJAgIMAJ6EYSIECAAAEBtgMECBAgQCBBQIAT0I0kQIAAAQICbAcIECBAgECCgAAnoBtJgAABAgQE2A4QIECAAIEEAQFOQDeSAAECBAgIsB0gQIAAAQIJAgKcgG4kAQIECBAQYDtAgAABAgQSBAQ4Ad1IAgQIECAgwHaAAAECBAgkCAhwArqRBAgQIEBAgO0AAQIECBBIEBDgBHQjCRAgQICAANsBAgQIECCQICDACehGEiBAgAABAbYDBAgQIEAgQUCAE9CNJECAAAECAmwHCBAgQIBAgoAAJ6AbSYAAAQIEBNgOECBAgACBBAEBTkA3kgABAgQICLAdIECAAAECCQICnIBuJAECBAgQEGA7QIAAAQIEEgQEOAHdSAIECBAgIMB2gAABAgQIJAgIcAK6kQQIECBAQIDtAAECBAgQSBAQ4AR0IwkQIECAgADbAQIECBAgkCAgwAnoRhIgQIAAAQG2AwQIECBAIEFAgBPQjSRAgAABAgJsBwgQIECAQIKAACegG0mAAAECBATYDhAgQIAAgQQBAU5AN5IAAQIECAiwHSBAgAABAgkCApyAbiQBAgQIEBBgO0CAAAECBBIEBDgB3UgCBAgQICDAdoAAAQIECCQICHACupEECBAgQECA7QABAgQIEEgQEOAEdCMJECBAgIAA2wECBAgQIJAgIMAJ6EYSIECAAAEBtgMECBAgQCBBQIAT0I0kQIAAAQICbAcIECBAgECCgAAnoBtJgAABAgT+D9d/lpb6zPYLAAAAAElFTkSuQmCC