data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAKAAAAB4CAYAAAB1ovlvAAAAAXNSR0IArs4c6QAAFVpJREFUeF7tXQl4TdcW/m9uIrOMgsQQGvrU0JirdNCqIYQaiuqj+jyvNZZSakxFJLSesV9bSlWVRyliVpIQlCAJFWPIIIk5MWUmue9bO86Wk9zkXhJJzsle39fvurn77GHtv3uftfZa/9bodDodhAgNlJMGNAKA5aR50SzTgACgAEK5akAvACMiInDw4EHQ7qzRaF7IZ7t27UD/CancGigEwD179sDDw+OZtaLLfIjgyZ2gNdEU+6y5jT3azd7Dyty4cQMdOnR45rbEA+rRgAyAYWFhsLW1fa4V78dJgxHQ5I5Rmrk7+ggePnzI2jlx4gSGDh1q1HOikPo0IAPgjBkz0LdvXwA6hIYeQvv27dG7d2+Ym5vj8ePHWLp0CUaOHIVx48Zhy5YtOHfuHIKCglj5n6cNg38+AFbxmoqc6FDkRB8upLU7I0Jx79499tyZM1EYPHiw+jQrRmSUBmQAXLRoEX8vO3z4MG7duoWvv/4aW7duZe+Cf//9NwikK1asYOCsVasW20YzMjLw26wRCGj6dAXUNngDpk29kLV5SqGOXP93EFJSUtjfg4ODMWVK4TJG9V4UUrwGZAAkwF26dOm5tuCNC76Cf8MEoxRy+7ODSEpKYu2QvPHGG0Y9JwqpTwOFjJDly5fjpZdeeuaR2tvboWWLlgafu3cvBeERp1i5kJAQ+Pn5GXxGFFCvBop0w4SGkhsG0GhQZp/VqlWDl1d3ODg4qFfjYmQyDRQCIBkV5IZ5Uf4/Y+o9ffo0vL29xVRVAg3IABgeHg4nJyeDwyaQvvfee8jNzTVY9nkLuLu7P++j4jkFaUAGwPnz5z9xw+RZp7169cL69evRvXt3HD16FDVq1GD/ke+ua9eu8PGZiT179jLLuE+fPuzdkYwY8vGVVOrVq1fSKsTzCtCADIDffPMNByD13cTEBHZ2duydLDk5mQHL1NQUWq0WVlZWzJdXu3ZtxMXFsb/VrFmTuWSobEnleQyhkrYpni97DcgAOG/ePBkAy747T1t8nuPA8uyvaPv5NCADYEBAAAeglbkZdAveQBWtBhkaC1yu2vz5WijmKduMG3DPjmUlbD29kPjaBF66YcOGpd6eqLDiaUAGQH9/fw7ArId3UX9jf6yyH4qeg4axntOW7OToiJzcHIMjSUm5a7BMYmIiO3uuv7YHK5v0r338mZdfftng86KA8jUgAyA5hfPOgoFHafeRuXkqqg1fyUdpaW6Gu582g7b4gBdWXmNhDdN5odxSJvDml5ycHPauSEZOk5o2GJC8GglD9/IijRo1Ur52xQgMakAGwNmzZ6Nfv37siOxx+gNs2b4LAwcNwv79QejWrRse3LkJK7/usko9fk/E5f619DZkuugkP24j/19+IaOFzpGHDBmC3bt3w2XZ27j68R7uf3zllVcMdl4UUL4GZACcNWsWAyBFqeRkpGLX/gPse2BgIHr16onUlDuFANgwMBmXeun3HWr+G4Zp06aB3i11ulzZiUqVKlU4AHfs2IGaK95F/JBdtHay9hs3bqJ87YoRGNRAIQBK4Vi5mWnYuS+Ebcnkk4uPj0dqyu1nWgEx/xhzz5DQlptfKMSLImIGDhyI7du3w3VlJ8QN3skB2KRJU4OdFwWUrwEZAH18fJ66YbLTsW3Pfr4l0xZ6KzEeNZZ8aNSonccsxXVXTzx48ICVJ38i1SEdxZEfkbZgigWkFbb2L10Q89EOXnezZs2MakcUUrYGZACcOXMmB6DmUQYCd++T+QVrublhTL+ueHjPsIW7aN0WpD7SITU1lb0HkrWbX6ytrfkWTMGtdVZ3xZVB23mRV199VdmaFb03SgMyAE6fPp0DTpuThS0798oAmJuZDgvfrkZVTIWy/UNhaWnJytMJSX5JS0tjX8kSrlOnDtzXeCF6YCAv0rx56fsdje64KFhmGpABkAwGyQ1jmpuNP7bvZltwQkICO3Ijw6SgFWzmUgePk69Dl/OoUKcz/Q6AVjqS9PR0WaArZd1J8tZbbzFf4KUBW/nfWrRoUWZKEA2VnwZkAKTQeAmAVfAYGwN3onPnziAwREdHA9kZhQDYYNM1RPdz1TuCdN9gtgW//vrrLJw/v4SGhvKvb775Jjz+1xMXPtjM/9aqVavy04poucw0IAPgV199hX79+jJ3ibkmB79v3SHbgjWPMgsBkEes6uly2qwgVK1alf0iGSNSsYIAbLC+F873+4NX17p16zJTgmio/DQgA+CkSZO41Wup1WH95kD07ZvnmCbrlU4zXrI1ReatRIM9NnvJE1cSkpCZmcnK0rtg/kT3Q4cO8TooJ+QfG/vgbJ+N3Epu27atwTZEAeVrQAbAL7/8kgPQyhRYt2mrbAVs2MADR3q7w8lcfqymTw31xy1GrOM/uP+P/IH5T0MKArDRpr6I6v07B+Brr72mfO2KERjUgAyAEydO4CueTRUT/Pb7Znh798CoUaPx008/wVyTW3gLLqaJu9N2w9nZmZW4c0eetH7q1CkWX0jvl2SoNN78Af7utZ4DkN4bhahfAzIATphAAMwLRiAA/rp+E1sRBwwYgA0bNsDCRFcIgFq7aoCJBjl3bxXSVvKUnXBxcWF/v337drHpnk23DmAAlEQAUP3goxHKADh+/HgOwKoWpvhl3e/MCp44cSJbAS21KARA83pNkRV7Rq+2bk/ezkL46dz36tWrxWr01W0f4pT3Ol5GcMZUQgAS5Ya0AtpZmmHV2g2yd0ArUw1s/I3LVqNwrJtj/8fC9EmuX78u0+igQYOYf3Ht2rXMEe25fRAie6yVGSaVYwoq9yhlK+DYsWM54ByszbHi13XMLZOUdA1ubq6lnh989WoC6tSpzeptuWswwr3W8Nkg57QQ9WtABsAxY8ZwADraWOCn1WthYWGOzz4bwTRBK5YxQrwy+bfQCxcuYNmyZVi4cGGhx/NCvXqh1e4hONntV/7722+/bUxToozCNSAD4KhRo7gbxrmqFZatWoNr164xciI6pnvnnXf4cI8fP85CqdasWcOMlMWLF6NTp07sXY8y5yhtk0K4SO7evYvGjRuzuvILhWFJCeht9g7F8S6/cCs4f1sK17HofjEakAFw5MiRHIDV7KxxaNUc7L9mCoqSoRON2NhYDpC6deti2LBhDHRksRLIiNyyS5cuOH/+PFsBKd7P0dGRRb3MnTuXrYBSONbOnTtZvjF9tqrnhF5JyxHWeRX//d133xUTVwk0IAPgnDlzQCcQdGJR3cGWJSUFt/+OJaXTNjpiRN5WXJR4enqC/HuGZNeuXfDy8oL0abN7KppVuYWjnVZyABLzghD1a0AGwJs3b/KgAXoHfHnrR0wDE1I6o62rGQuVzwuZl6Rk3288yMQH2jDU1KayCgmA0pbdv39/9WtfjLAwS/4PP/yA+vXrM9W0bt0Kjg6OZaKm6MuXERMTw9gWaHUsGMBaJp0QjZS5BvTSs1Evyuv+moLZc2WuEdFgmWqgSACWaS9EY5VWA0UCkAjIU1KS4erqVqYkleSUplMTGxsbiLwQ9eNSLwDPnj3LIlSMIZN8kZfZ3L9/X4BQ5RjUC0DK1yA/HwmFxtNZLRkFFBlDyevEkE+hVJQnQpHLlFhO7ptPPvmkVNVFJy+CwLxUVVrhKtMLQCKZpNMMEjrBIKBZWFiwaxtoVZLyeynK+cqVK1i1ahVzVhvjA3xWDUgW+bM+J8orQwN6AXjx4kUOQGkY+a3T/BZywW26tIctiCpLW6MVqz69AKSjNGkFdHWtidiL58rELZOTmwtr+7wIakkaNGhQsTQmelOqGtALQLKAJQBuHNMRYz21SDGxx0HH7nBztH1CHyTRCJXsMzFVh5sPs/DZw9XQQAeTKeFIvPWUeUEQVZbqfFe4yoqwgqOg1Zqyd72jUzuh5ct1YDP8N55UZKHVYOLgvsjVGc+Sb+fgjMmLlj+5Iw6MtIgMGzr+I7G2skKd37xh63sWl+ISnsQeaiCIKiscZkq1Q3oBeObMGb4Chk3vjNr9Z6B+m6fBARs/bIP3XQyzpBbsqfnSSGRnZ7P0TjJeyN9HRg6xJpDrx+nGCXwwdSkuxDwN3xdElaU63xWuMr0AJBYDKY3y+IwuaOe/nzGdEsMVgWXbkHYYfyCBMSIUx4xQcLRmi8PZrZsSAMnNQs5mYk+Iiopi4Bw/6lOcvxLPE5gEUWWFw0ypdkgvAOmmIukd8MTMrmjr9yf7TpRqBMDtH7/OABg7vDnq/RSJR7euQqMxQfbNeFg1aY8k/8FIP3UALv/yhZVnR8SN6QDocqFdeIIBmeIEyZ2TkHAVUVFnQZHYFBeYlZWFCWNG4NzlOD5IWiGFqFcDegEYGRnJARj+tRda++5h32nlIgDt/KQDetayeKoVYj8lAkri/9OaQpedCR0jMtfAxNwSuVnprCwxppJIKyBFTNPtTEQJsm3bNsai8OXnoxB1KYbX3bSpIKpUL/wKpGVKA42IiOAAjJjVHa1m7eZbMvkAnW0soYk/80yuGQuX2kjSWXKOGDJwCOiUmE5UbeTEzszMwKRxY3Dm4hWuc0FUqWb4FQHAkydPcgCemu2N5jN3yBzTP88ch54Pwykf3Sgx0WjgsOAQs4AJeHSM5+bmBkpeatmyJXsHJADS9j5lwuc4fT6a10tR1kLUqwG9WzDdBSe9A5726wnPGdtB98jRakWJ6n/+pyN6OD+bFfx47mGYmZnx7dfV1RXEDyPxAFKb9F44deI4nDp3iWu8vIgq6TRIuIBePPD1AjAsLIwD8Iz/+2g2LZB9p62ZABE0ohM+330ej27Ewcy1PnQZadCYWyBudHs4DfwSaZEhSI8MQZ3/7kf82Lzb0LPmHGTnydL7X/Xq1XHkyBHk5DzmxOT37t3H9ElfICLqAh85rZDlIXv37sWPP/7IkqooR5mukxBS+hrQC8Bjx45xAEYF9EaTKVvYbZgUFfPdd98heOR7zArOvhGPKjXqMgsXGhPc/sUHGRdPwtShOsycauJByAYQrS8JsaVS8AKx41OCE3HGEADJLSOdJ9MWPfOriQg/c56PtDyJKr/44guWCSgJ0QxTf4hQk3YCISXXgF4A/vXXXxyA5+b1xSuT/5C9Ax4Z740udnLOZ+qK1s4JdebvZ+6ZgpIxO4S5caQVkFiz8lbAp1s5pXZ+PXUSTpw+yx9v06ZNyUdZghooab7gLU9SdeRML8j8WoKmKuWjRQJQckQTABtN2iSzgh0dHeDk4PBEYVJmXNGfdK91ZnYWs5q1JlokJiWxfxPQCwJw1rTJDIBSoGt5ApC4cqTkehosGUkU90hbsshbLp3/X/QCkKxTU1O6YEaDC99+gIYTNshWwE2jemNYzcIroLFdqrHyHI5FnGbgowsLU1MfwsWlOkto95s5FWGRxLaVB+jyIqqk68OWL1/O3gGJpeGjj/JSVIWUrgb0ApCsUwmAF+f3R4Mv1jN+wH379sHX1xeRAZ+io8OzWcGmjjXwOOUG633dxaGISbwOCrUi3kC6qsHZ2QmBgdswx2cajkUQoXkeANu1a1e6IzayNgrKFZE4RiqrBMWKDMmX3DDRCwai/udrGcefvb1dsQxZK1euZHQddC8hJRfp+7x/7z5uJiUgMuocFixYwCxrKSKGTkMCZs3AXyefsitQ+L8Q9WpALwAPHDjAt9zLCz9EvbG/MReKIaHwebIaDeUU30y8ygBIJyB0tEeOaBLin5k32wdHTkTypgRRpSGtK/t3vQAMDg7mAIxZ/BHqjv6VRaqsWLGCjZb8fqZpyc818ndz41BlaABu3UlmCUf0bkXuDdriiart2zmzcCgsnNdNLg8h6tWAXgAGBQVxAMYu+Sdqj/yFbZO0XTZp0oTdnlnaQtYuXRU2398XocdO8uoFUWVpa7pi1acXgGRsSO+A8d8NgdtnP7NQKXKbdOzYkf9G1jKtULSNFpQlS5aw3GJ6J5SESCqJR5BC/vMLGRq07RO928J5c3Dgr+P8Z2pPiHo1UCQAJT8gAdD1PytgY2uLzZs3s9ApyflKjmQirySg1apVi9G4EYXb999/D4piIXYD+hsZJyQE6tGjR2PRokVco8QtGBISwoA9ccJ4LF0wnwFQ8gMKAKoXfDQyvQCkc1DJDZPw/VDcdO8Cy7rNGJsp/ebh4cEAQisfHaNR2DyF15NLhULrN23aBD8/P05OSRa0dNMSAZMCXul5MjBouyenLn2a7w9Ap3l/IvjwMe6GEQ7fSgjA1atXM1Jy8sMl/vAJ+niYYFfzuYiJiUWLFs1hYpJ3C3pRIgWuFleGfIAEVnqnpHB8eytzeO4dBmvf8wg6dJQB8Pr1vAuthahXA0W6YcjqJUneFgBv6yvQQYO/s11wLTfv8sHSkphH9hhgdRbO2ryghfTPD+NUvmgYcehfWpqumPUUyY5F/DBEGEmBo0Udxr+IIdHxHG3nFC8owPciNFyx6hT8gBVrPipdbwQAK92UV6wBCwBWrPmodL0RAKx0U16xBiwAWLHmo9L1Ri8A6cyXrOAXSb8r5YEQ3QcFfL6I8+VKN5sKHHAhANJ5LJ10lES+HfE+WlvkBZ8WJx3GLoZpvbasCMUCUhKQkMqlARkAKR2TKNNKuvJVXdYZ9hYmRmny6sd7BBGRUZpSZyEZAGfMmPHkulYd6C7f4cOHswAEimwhcnIfHx9069YNdKccHZHRZYN0Vkv80PTskSOH2fGd86oeHIDWMyOR5tscWo8OMO8xHSY1GyF1ch4BOsnlD7fxc18KVqCjOSGVRwMyAFKUipSDQbF5JAQIIgiKi4uDu7s7W60ot5dSKCn4QLopk1gEKNc3KSkJbuv6MgDazI1H2rz20Lq3wuPIrbCZE43cG5eQvrQ71/DZPhv5v6l+SlgXUnk0IAMgseBTMk5Jt2D3jQON3oJPea/j7Ynw+8oDPGmkhYwQSkUsKTN906aN4VLN8EoWGxfHzpsJ8LR6CiYsAUCuAUOJRaWlKnE5YWlpUpn1CEe0MudNNb0WAFTNVCpzIAKAypw31fRaAFA1U6nMgQgAKnPeVNNrAUDVTKUyByIAqMx5U02vBQBVM5XKHIgAoDLnTTW9FgBUzVQqcyACgMqcN9X0WgBQNVOpzIEIACpz3lTTawFA1UylMgciAKjMeVNNrwUAVTOVyhyIAKAy5001vRYAVM1UKnMgAoDKnDfV9FoAUDVTqcyBCAAqc95U02sBQNVMpTIHIgCozHlTTa8FAFUzlcociACgMudNNb0WAFTNVCpzIAKAypw31fRaAFA1U6nMgQgAKnPeVNNrAUDVTKUyByIAqMx5U02vBQBVM5XKHIgAoDLnTTW9/j8iED8+hPioCAAAAABJRU5ErkJggg==

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KBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECByxcQFpoRMBzwAAAABJRU5ErkJggg==Make a list of numbers and store it in a variable. Make a custom block (a little bit like the one above) that goes and reports the SMALLEST NUMBER in your list. Say it for 2 seconds. Add or change the names to what you want, test the function. Look inside the grey block...there's nothing there. Can you help find the longest name in the list? 21222324252khorne,nurgle,tzeentch,slaanesh,horned rat08,7,9,6,136,7,8,9,1387,34,29,58,622700