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PPSv5.2.htm
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PPSv5.2.htm
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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8" />
<title>Primordial Particle System (v5.2)</title>
<meta name="description" content="Based on the YouTube video, 'How life emerges from a simple particle motion law: Introducing the Primordial Particle System'" />
<meta name="author" content="Joe Haythornthwaite (nagualdesign)" />
<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=no" />
<meta name="theme-color" content="#000" />
<link href="https://fonts.googleapis.com/css?family=Roboto:300,400|Material+Icons" rel="stylesheet" />
<script>
// Global variables
const pi=Math.PI, tau=2*pi; // Used extensively
var simulation, overlay, mediacontrols; // HTML DOM elements
var canvas, context; // Canvas elements
var cw=1000, ch=1000, cw2, ch2; // Canvas dimensions
var demo=0, demoactive=false; // Demo settings
var count, elapsed, time, run, paused=true; // Simulation parameters
var species=new Array(), particle=new Array(); // Species and particle parameters
var number, density, distribution; // Experimental setup
var size, trails, framerate, strobe, tint, colours; // Graphics settings
var rMax, shape; // Used extensively
var lut=new Array(); // Colour look-up tables
// Species presets and thumbnail images
const presets=[['Cell-like behaviour',180,17,13.4,50,600,8,0,10,0,15,1,90,1,'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'],
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'],
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'],
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'],
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G5Sz2IFKhWZsXZV4kqbIitvpoWkDg5Jkgq+CLWDfJdvEFeVaSWpKPQ+yLiSxHHB7mMJNGAU4GWye/iHNct69h61bnVElQ3MH78iesvrby16LTqqLD8iJ73r/5UOS34+rFN2HnB7zLxNvDGptOri5KyqnlPOfX12nlNlGjT/JiD8RNRl0wsgluxxeZOu53EB57GMiCfyEM71w0f/Sjy2LiKiN7yzbWDLw/kXFi3aNeGp6BUREbb06rOpvGy+hRAfj0SKFxzcRBJFyfXu35uaEk9mpu89UDAn7avbY+NVINwCg7KgXh6tunVDOFXlNHHw9oM/Vd5+8LYbm5BjCUYxhAnOdPfV3dybkhI2d1R7e9n82AvN7eERC2ram0sWvHKsOmvsTN5tNvhw3PTpxYTBMH0iBI0XEiXuvLTCw86j1hRbhjXi/VPOpqZSQdWgXiAmJe8w+Dw5F9L9aK4gUo/HvVR4sKkhd+8//tFqB+MIfgHNMIFCznOlqqogZdTKcRM3D4z+Q6PDEZ6UlLy6JiL86AOfJaZNiue9osHrFt9cuvSmy6hNfMADZShm7HkznNk5Lc1WW0Rzc8ux3NzqqtRhiQIKEH/DzI/9/GfdUHnTZEjYmCc+b2blkSJnenKKbVb1tul5LhbxAQExphRpyJValTUv6dCEx+ePnu+ofWfD7tdX51vDw/ec6Wp4cU7aFSIfA34pj7aZiv1tJp25vMRvSszOCL/a1rhy5Yfr85NTUjKbqgqJQgRaObFshvHP/vjH3/gYW6SewdcvidxWkH0pInnK+w+lp/f86xqrGi00J8IdQDJF6JCOXXU5M2LL43+YRgR0TJjY5viw39FsXftsLjlXZZxXlWlrQnKxPliqIJmggURwKu7KxaLM5I1bPpz4l2kLG58aZU1688jktHg3YbGCmXqJOoiAT/hIfAisHFbjl5RmOVNS1jZv//rtKRk5Bds2sf6VhWVi4Ea0NaWr9m/TGrJTFjz+l2nTZm85ERPjSJjbvzlqzPsHMrN7Kovjkc7YDPak3qQa5PyNSOJlAnLzIQ+WF7y84qno2fPnN26Y8PXUkjFTTs5YbFcVv30BTh772W9ukRqL1fKirPZVTr+cnRHReeL5cWFj1iYVVG9SZN1nUH7KFQRSDgEj8rrWNBQlR7z3fONrE8YvGBg4ERb9YW3C2of25jYUXrFzElSxtJ8YT4qqpZXxZggT8YgRkOdGyN/3piwYP3sgdHNb1PL5s59f3tuytWhyn1sVTO7HkgZ04EjEUAFVvvWrqvJM24KN42dvqF19wWFLX+N2g/NYjAaEQNsmgKeauulgVkrEqLkrVoY2Rl0NXXRo6qEaa7Kt+nBkfTynCkSBjBpLbt4ez7tBOkJYdSD4CBozlZezkzsTRg/U9rdtnr9w9OMPj2neWp41yc4N+fEpwBtEFjw47vbNKue8ddETSPKKudrSfiZ3xjBHrsAWgVaqiLbAAZFkRZ25qmevLcnav3mgdmHM5s2LRpWEW23zcrednWR3s14NbbAQ0JdUFdqYvybUFRMIISd0c3Fje3IzF/TGDrQtWl5WFjN/fH5+ia2oqW4xcUMU3OkDCTFiIIjtaT3H99peGbehbfNArGP3nqSC8kE3Ya6SBdI+OQVtM4MXIVG1fxeZeCA5Jbw/tL92eejyC+1rk23Z6Servot3qXQaAF0uTfNBL4aS5Pvvued7n04Rw83Fh0QWHdjemVDr2HJo4/ramMYTCdbkzMuFqcWcKo6gMuTVkq5RHao3lhyvWGcteX79onOxu6NKjiZl9nRw4BRUQNoXgwYgCUTypRpXv+bFzJycFhIb26Ofe75slM1ZcTptZp5IyIk6JA0N0YYhLddoUN76/HMPoJRCvuf4NUe6np3a21sTtf5cwglH7Y7xuxztyen3Rc7kRGUEPYM2G809SB/qvvbVwQbbnqcWOTYsdzjap2Rmnl4cBxzMQjRAG7isCYuA0egSVvrmHP4xpXfU+/klD799dG36rIq0eruqERbl4jne7lLdbpG1rQPdARhY6CI3fGVG1o8RzYvKQkPnx7Q15/f31+RvXZueWZQaJys4mEvT8DT8SrTXJVb8eGj7rrYBAmrN4V1FkYu/JSWkYCGOQEsu2k5h3SngI1re2dz05DenWMOtx9J/rE48XtrnFWEglPpdZWlpKXF56rQjCTx0gd3DdzpOZWbUzm9cuHDh6M1R+Zs39288seeZWTNaJ3H+qgmZLScdxlMEFrShvhe3ZZ1JSYoaWPlWwrlk57bWxTzIYoECH5oTIlW22YPUVKW1OjPZdsmWnFyQlXjqm+9C4oYExF1/97uqpqzy0xdvptpdHqSJQQJCDSfqXo7nP0q/lBC7fmLowtHLt68+19bmcJx4+YH7CJP0D3FMkmaOt4jl1JcuHtyWk5xQ81706qMHKgo78lxuEBCmCNB7B1oGIQKopJBw9OGPZs1L7yqqdnZdPlK5atkncZKo1oeETJ9cnp3rTC9qWnKDHzJVyOZjmHAN0evmhusr5jVbw7Y0xiwfP355v6OtLfbqgnWnvrodr6IR7RzBn5kJc1Xdtyuc2e+Psa0bM/XM3m8qO/J4qLcs5CoFFC7TLijBdo0EKS2gFfcj2xpufrM0cs6ctJCnz0OXcMnxusL3W2wFl2zzii6vsXsNIxsTRoL2SHN7vEpHVnZ4yZ831i4c/c74HQRuNpdtj0iaterBb/HI1h3yd9XgaCi+dVv54XUpGcdm5Z76a8jiOA6iwqIbCVKDnrRCDS3LAu2YihJ/hS++0hqS2jesqbqs4tas+/7j5XO9pNpLTsku7+DhOqJs1ocyCkOPW+RP28JbrkY5Qke/Fh3rGLi66+tz4Wd6Vi37UhXuFtDs6CuE2Kge+z6n82R1eYOz6a8z7dBlUUjRBDmEdrBp2hY15o6sq4d9qs9HygsfCWAS23z9rPT3p1692tvcvGCnLfvyYhccTwMWINDCgU58vJo3775ka2eLoyU2Onp9Y2jU3OesKUUHI0PsMhohIRaCqjiCUljCaVlNVV9FVhbnuYYoSigWQSLagzgHDKQhLNPetBEwRkeYsA6J/7YwMdM2ZXts6PITJ17/c7KtZ/oSOyALfFgKA1Mpmlvm4j+zHbN1Wrc2b48uczTnLwhPyb14NtVFcBL7XfbfqlbCYKXByKVLZ/L2YQ4RgeFxFmiNglhE3QogDYUbOrKimYFxZdCven7ZP8qzM5LX7whtnL15YO5OW1dPKcE22tgQBbN/RwCBODDfcWRWek5KRPjOUefyS6xJOfMOn52+mCZKRMcc+K6xtlF0CpI7Lp4f5kAggY5qLRCx0AKFqklm5JG1R6mdjZkkNb47dWlDdk7EhdqBtv6B0NfHnMkpSIxcItOKVpZZsQGsDQ7mHe5YU5Cb/mbG0ZzMgjdTMp0vlu7PczHChfBdTSN/y4l+oRJ/onUmPI0ICCkYBiAkmEWjvayxpi2dzdFjsBmLVN/krJ5yoW3l7uaE2NqYhAxSxx+u82DIkMTHZZr2MO13kE98/b6mbUdOVVdX53Y5nV11JCiJk0F/A2MSUZJuzPn8ID9CZDZJAZksRIsKaAs8kRX6AIN0CYHdgaFFD0Et1RMia+1duSE0Nv9E7PJm67rs3Oo5cAgRpo4ymy1orCOjeQc3HYzcd/Zg1sVVVRVL0zp4UTJtiqXvf+0RoJLGZtEq3K1TNovCimChxRZiBQ1iWYQEjKwrgI4CZb9gQ5KG3a2JmVbrlpW182PyHVHPr9i1IDO76AO3AB9YWdCoI8K94MZD4mB9a2vp9KXffdG6KQSyQiAyHnvyyf8KyEWcEftbT/62sjHphaUKsDDhqVRPRq6jUUlnGbTWhamCoHKpkSczp4TNnzbQHLagv3HcjtqUzOoPOKyBgKIAlB8eSb7TadJURVdH/eKZxfEuL0cqkqCuzPdPPvnPYMUZCx2CX5uCiUBEQCAKkD4UjY0sEU3e5oICBBuCyAb/7Jh++tl1R6MWNu6uWXCudn5o2Z7knK6XsEZnZLC8QZgQBQU2FwHuA3/oroeoyELA3574r26GSsyuqjokCMEjCRpHzBUtRlUlUkOxJlgAABCsNSCZDmeIjTfd91CBbWtUbEtNkrVs9OujrBHzLtdptDkgItruhWrcHEIKBtyDswgaUQAK8n9j/4FoQJfcd/pcqj/JiHTSYTinLls0c4oKeQobgGm0ggC7YVZMkVsWOfuaruqc9qhdCbEnonZ8+F5Ce0ZueZ2IzL0Nci0Cp4W8ClBKvFlQBDqGZRsX/oJECDggloYL045H1vHeoP4OjMcZnUAWn0YjVhMZvLObAIWIjESnggHdMCxXXfUv5mYk7Zk7fuG0mEUTViRszcwtHyQVuWBuLzE6JcL9gtEQEql7kjRvjguZ4rA54cL85KyKiqystD6NqcwIVH93Cwt0pm7uA+nBHxozosB2DYhjcnkfnJpnyx81avno0OUTBhJ2rit6SaJLG8wIimY6r4CM2QMdmACq0hoBB3rF2PPxx+Bt0qasCpCwYgkPGhIE1m3QjGGqz6LTdZy7CkIolAn4yjTRwjydagKJ/JrEohzHhY3bazbvqG0LzyjqcQ0Zy1+GOGwWiun4GKboiJa9MB1jeyNm5Erdv4JxGEHtuuNEf1lZFaV0FQabqUwxRLKwTruJmKaACAgCzLRF6FFSjIPmofdO3WVSbzjWh8X2t52wpZenuViTl6iI6FiWYdJAolRCDLBgh4LVEKzNypgCAJ9E5Lv3aQCzvuNUvrSZnARJRjG3K4zxncVgmywqGGDCA3zQtEWE5MAuE7QMqCMODZdm9WS2t49a7WhpsaaXz7niBn6msPYoIVuCsQZChzesf069kyUCkTWC6JueJgKeh6/c9US8ismFcYC7CjKb2ubqlcUnBDrihnz0MWyLiLmXIBtal7j6tG3ZGUlJ1vC1Z9KzDlbyKvgo20WABROFHM4oyoGWs7MxdkTyJxKMfEY0eOuFF25gVv4XZlUcLxykuzCCbrigjCkIY9r6CB5iMcvTsKFeR22jGO8g1ubshV1dBSnJyZl7I7/5635iYWY9xjDMGKGdYYH2UxjOQu9SU8z4gH8lDFfRNivqqOsYNgov2eAaELW012wJ7qhjM1/DaN8cE0GlQtdTaOk35I1fcvr03q7c7J7Ksfu/VNnGEKEdFEkpOODuG92SMXWjwcUmJcytqIWQHyfYkqckSeauhGYISJkzLOVZgPkEDVeYsLSFReEWOuuAc3RjhMYzx19prTt78F/FhFcyXssYuH9U+PGjj35CJaQ5TzG2+9goBLMcCxhCQQWbQxpMSxMKa6I6RKGBjfkstCtLH9x9//dBbIzkZKTT8kSAtiRhs6LCshfn4vm4xddIdlJJ5S0aXRDNj4FPP/roo19itqnGVqbATUWGHME0/9XvPbRVTteZMOxsKMDPJc7FDYmKqrm95H4LLE4yDd5/z/+8GpiiGYWJsfCkAZJhIK9Q+bo5zgX7kUQ2gY5oAEYMP5EkEPAG3R7CBkIK/hlCcNn56m/vuR+zvj+UALqxw+Z2xeXFuSSd83KclwpoTknJDaYKaVjAlFfQjN0b6vQI6B7hz+R7zq2xWRaszYqin16Q3N/99NMfGzQFU/9j41jw4OBlAth/+4WxOSFA4ADtQ4o7Pi4ublJeX971azxIaGHrGPTG7leDBzJ0kC/INBEGigjMGsWwt0mjXoYJlqIEt9VgO5H2bBFb4IQMSOtzyhawgYPkJ7/+vFtABq+CxRto1Khc35XUmd9WVlWGhBTzPM9ZOLAmrZ/xyIkRqE1gBhJhcmkQXtEASBGZWQuDagXTUcxJv7lPIxpzOPACNu80UwKiew8myEHFJqoc3/dD/aqqwp4GZ8XpyWM78uyWF3gYLLLVaJNRYlbWGQswDGk1Y3VF9EM95QR01VMwFRHgG0rwojRJSfQpQnDdgfQRs1nq8q64+tY5HxxuaHBWp2c7G5aWLlli+eS8mx4G+XfikLGwaArI1sXMaSk2yIE4cj2Kbn/8TpdMuFf8K0lUYMiVgUQVmP8HbKZostttr58z+fCzZ3JyclLCm1NScpyH51jePQ8TdExb8P4FX8qv6AK2qS8R+ddyjKW9kcN9cgDLn/70mJ/G61QcRjqJD0DVQRNAUOUWpHXQnpfj8+ouFxXtfTYjOSOjt7ctKiI552Si5Xg8p1IkJbTAn+6M/oyGBLq5C3EEhsRG0RWYWmJsbqYj/M8/PfmquWwCCyQBDQnGdgwJHn9WgBa8uUeMIW9z8SGrmopys599OSzslVe2Rz/12ty1836cYbl4xS1RSIYE7SdcRnZi/QUZFp5wkDkhjzNpEXmHxJbEhe7fPYaQ33TB/sb2Sn0SX7w/TjL/u4B9Zp4xA1KAi3PcmqUV5eUFx16eMnX8ru3jn3p+XPRb6w7MsNT1uQRWapusnygB2kksgFmauGubJOibW0880c1ihJIMbO5h4eBOAaaVr+S6/dNPP8WxbU/J/sWqVakslBTIVaq9NNKZm2IdM3dXTVmL4+qEd1bW5O98drLlzh1OkwMkkWWDIVEVWAYg8IBH/g8OIRhuPXQmyPqQxhwJ0z0sTOFQio/j/Q4nTXqQCLifTUel4lXkE2dGEVJdlcePvHm0MyG6LNSxO7/NEVvmcGxde3iyZXBYJd7nj1UmQ97+xQSIUfBqlYlzrGw1hTYFRH4UMKMH630vcXlfLHuXj3cxK0t2It9P15gXKmNBwDyfue/gvt6Qm9LZ/kr0xNHTzrV3RjkczY5zWyMavrL8ABMq4gVgS2PUjMmTHpwZvAFBp2V60IKMUWIh3y/f+BllLj4jav3dliuRRbkzCtP++lNq8SYXc23p2k8PXteZH7lBwLFuMD4tVD3XJ59Mcpx4ZUvj6IULVpfsWbA1f+OeiILyGZZBr6jQrjRNeaxa3k9Oets9FFBgcOuEfm0EIPmqm2QSwdghVujqBFGwfXHp8QpnbsEzR5qqQkoL+yS2liXF5ekm83Oljp3J+xi4YU3lUtNOPdNbs2FDaIyjN2x9WdjU96aOObP3xTUWGHhQHxL81bIOzrxfR/7dNMxWm/11lYQ5N00hmA6nA1qGPV9CF+yFx7cVHT5yLDklp9o5Y8YHj9hdkrGuIAX8VzF6RkCSdOmRHmdBeGjMjtCylvaS/vkLR7+y7uhDz6bNtORxQ4SzACcw208EAW7fvh0nmctMuuS5wUsmAQZocaV+8cVMbsTaMBbNdXIVc/tmFKUnJ/9+VHt+Tsa6Z575bE5rx2Bw88/oXCnIbLNg5C7tKUpvX7gwJmajNaLkrYRFYclJ1jfLv2m1TCKJBBoHxMw+c4dG8rg47K/ipRvvLlt2XgrKTIvBwSdJevAiJmt+IlFyD78054NjSRk7exNqalvaF5y59EDW8Uc6Av/Hx2ju+wTFTzB0nPdN1byI9pjZOxpPtFszVofveTOz4JlZx7/aZJlEgkSk0zraPWM4bbgYy536p8uWLftUCqhA+QIEDDF3AfwLKRSo3JMK0yJPWo++99RVx64Vu8OPXnJWOyvO1hNfx6yjhY3oC6Q9gkmTbl60bXXsHve/3oH1g/zwtZnZzov79n1Ub+FpAwqKDs1IJIyhBNp36F1TQHN9IpVqMAgQMfvfQoRbS/z1kOkX53WOeX5CbFTU+Neiv96ZPi9zW9acK4OkRFUQNavRMPc30nTdHVcaeSkpvOS555aHNm6cMHFjxM69FU2fffRIn4UNHzRomo3AY3+dLODzRMBr2L+dhgXXzC9C8txCUN4HugjjElnlru+vnDxr5/bX3hlos374+OzGc8kptqKGhuMdgxwllYHxl/8rhLz2+tYXp1h7y7aHxkxbOWHDrqiSy1lZ+4jeLaxFQbiL55bnln7X9MIgJHw8b4gr0Pmfz8dhs4tG2bQi01EFpHQxLjUtMfH328eNi41au2VXbeOCtWFjjq5LPN5xhzNcJtDrRaaxRXtHcdp9Dxzqj4rasXLuiv6ysP84ffrFPruo/n8BBgDXrZrfnlu69wAAAABJRU5ErkJggg=='],
['Lava 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'],
['Thick cell 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+NgkVtEglbyyVPr9CGkUtPHXPA6HBbw/a2mLE9mQLZvF6eg3u3qB1txDArEjsCXF8b8NoYqIn0VP6cGpawn8M7t1WWUkD3HZxrkNuveakOUJMApPqRrkElrmWo+XMmTNmzNjUGabte/fDNrFFPlmBOww9oUELFgQjgEZRkat3QOEGHldqIkhMXdzQoK0sHtONug0tvQ55c4mFTymXOc1H2sW6NXsZb5ciPr84u54a0xnmrn8gWZy0w4bqzm0s21MWJBYSpvBVGRYdNAIOvwCfFBeOGoBrJOzaoOOu2D2cq104+X0G6Zfh3IyKoSL6gHv87AitgbeO2z441saWKki/GgzN84PPV0vygxUdiJTu2QvCohvSDK4SVom0bFuzqU0ekmWWCctJkEZuJkutiZPPdKFi465e0Eljg3fTq10gem97H2SHG5n9oqQUIxFUdW6fNIH52FtoBcciorb9bVvj+Aom7eBpiUrYE8DNrgivg1P4rtSK5ZWp31zKhNSz8hw08WCBYrw0kbbs9MhvlHYNFLwCN5m4cFKUts0U3AIaIIn5CCwBKDfNAskLtWe0XYbCUY/HBXQ6t6NbTi3oL5lRNUejqRPcgWZOdolasVsYc+ol7TOlwPNwaWH+9Htbi7puFTRyKxUWGDKMm7qv4pnqCiXJHAIH1fO7Pw68+M4BXfG4AWi1xS+7ZCMwf8xXapwBeLTtywWdD9M283D+O/umEb939nKp3Vpkc2Rscf8WJsT46CPpQyri3eTq2X/4TLvVBUbHS154pkth+4GsP6NSAj537FzXcPgbAlRGbe/2Fq2eNgwcj+BKd9A1q4jliGdmIxfamzGzqCd+TPmPeM+h8x/GeF44DO/zXy4+c60a01TJDljTxxlPtTJAUGpm7XBj5758lwe4w9YFu4v+LbF3XY8N3woTn6G8vTRccLdYgKdk5MBxPoboCjuRXwnPYbiKTryzkwdk276JXn11Ne44lcdxnEgMMzEhU4kEpmcvoObOgaL3Un9alH9m24h7+r38tDTg6CMkGXkVfIW0WmmVT+AAKUdbm6x1bDlbBgauLnZ5PKAyoSCCo3P39u2zgfsI5y84xQVGQnUvIpp5CWOk+hlF0jtSuHp/6tYnV+zIcZf+bN/eAZvjx+fFCFWfchGhM7IcA9jy5pFNMxYaOIrbKwTr5+j9bm7YfYVeMD0dtYCPk6hBiJXPyl9Qiq09qWHKbVdETlbvWd19h6e9057nfklrGt3fPrCBH/9eLGgk7983ZTk5PWjrpVran/7vz89GKQxM2KHesgR7acMTR46WeDbuz+l9d0ayPJdtyebNSU08FlmYRbMbWqIPvADzqb/8+y4AdGnBmDGMlw4Jy5A5CqgU3W93luwz5K8e7xpLGGQ50W7G6ldgw5dp456N+VGN38103Mmpq6D9aP181R08vuDohlLaQD33XCIwaA/oCKxwLKfEvlDA8xKO7Y3jJVtzaCYDUQOYLFdF8gPH0DGx++jTOxdSd1QzWLzeny1QcTOWeus5o/OA9zbmeD2VXZ0fCMOZ1Si2Z9diZ7TMZCuzxUF73NNv7ErcRY7qQgVVR5YrjUDPkOP8qQnK+9nuboZ+6iS22CktYSsFUmULAJ1ZeijPLO9rj+pch0u02pGxnp3tlDQsX8okNi8w9tj0FZvlD47WAc8j/wSK38F9NDreMmU+SjA+9KsTFME5wbVLW+Hd7f+UFEdwebQj6SBhtQR5ZM5FrJyP6BrS2m+FXV23p7GHIx7/nlnJ+IQsTpoHPYx78Lu0afDII2DsjzPEZVs777SLPHTTFOM88/kLVQgmrRhsfSTnaqdEOoHxNfqRgQrduXPutXXtjUHso5PZQE5AMIAgedPTK0ppL7/64Pq2ACZWlud4cY3N4LfbqI4UrL1FjcO+/hA6s2OrTn4iGVvwklYQOLvFFnKOrdGudnkLFUfepZAuMpJ3HZTpYVyOdTeqh81+5USuvvYLdjtkxrl5knWCaiZFALNQEYtqD3a5adc5FK3rR4/DIztGQo6ORul6l4djA1pNMgxZxwE26qUjZglHSqaeZQw5sRQVbjRLGIA3N7P78eCgrmGAVTL6S1ADDofI5BWJ1rUIoFCfstixh0v4MC6lim9fGu7UZ8luiSWziods4o7cqdCCNbN8COAkOxEx80jof31gYPBZ0cbb75XLILMSoKmVm/ACf+CSeDSTh1TRVJEUKxF4I0qNmOyBcvG0DrSLM6y2etsT37FctQrpOVKdyb3P+5VCClVy/sRnEoQLyY4ZdwtNFrjhJoa86lbkE2DP7fFq4w+mgPHE+OUaJOrlj1oYS23YvcctSQQwUpTB1UJI3HZfXi6vBPq3oPa1s0hA1FXdEB5olqlIJnFqNd4JoJTUZtTbcW1nY9CCMtnAMyudrTxPXsA2qymd5PVuOeY41F2uYHIjdjbG5UN80jkHZY6b001iLSwHUFISGjxGo+vZvUBSqKpZKUrecjlepNdJCzexSflJih/ZBSWrVnNz3WBy0/0nRXKnWTbEASQcNj5JUcdmndlS5GBlZ6NtzwKugGxshYv0JfHZW1zVKYUjcCAzk+ArxE0q2TS+/lOVbAymjmOHsXMAqZ5zBWz4wpwKpQe9zPWylQU1nuMr3FNb4G4arXxeXK8U+AY7NAqyMvn2ySsaeSFoEjUTk+zX5qVGnAepkRFHWMKBqwokIz69vRmtQ5XHQujdO1C2t6CHZ02fmAdMT0ktlRPJllPYXLJCWqEl9Xg1gb29kWnyl2IvHWqtU7grtdqGBMa/VUYOSYSw1+Du6TUEkiWCkY8LawXeDpdPppKtqKePhmuu4r2ImIne6Ep095vHsaWTPg6gLSq6ko7JXS83RI1AFFbWu+ywgh86wIlfmrVqwW/F8o3qOKF2xRwnrk2iW4zlrM1xtD0dfUAnLF/PnHswbkmysgDPN+p2/MsuAJ3IbSOYVYU+CUHeEAp2xG0BramZVc9Y1UO+4KbOE9qrkFnNEBjV1jsyEP1k8X37Rso4IW2ej+wXGY9KlDmK7/tm/nlF6t9fJ1ylK+7D7UUKrEITlx4T9KlxXhaP0JQJZ1HNj5ekEWqE0MfMqsibdQGpbqvX3nfg6Ooi92hxJyX2dNnLq/j23OwDK577v594XG+UBHOSypxugsSxvoUdgXeqfaiUBPdACU+i20PQMVfSznWy513G3B48Z2VX+RGY6gs+uu+ZJ1/esfGb/BWKYNklfK/4/FzXmfxvduzaVfRkwi12FSmflAfOr5hq7pUWfH3ZXHdrhai+gKno1sgssRzTAEMTjpbkl3616+FUg27vHrlwjApVzGivHHUVeYFOG7W3h2C0vUnJuJyElbUSpJB9B2aV35Ei+8fiEs1wLCljN1HQ9mgW5jC2hC0+Me29//Ud3sqwv+XKZSCJbsXnt6KBNwcowgrOIWNGXM/j/RSyA5W2JuOWIuT64QBuNmERP0jJwA9e2DGCE+W1FdC3QUfmqGrFqHc89blvEr2g/eAGwdb3UYBqc4DeoNnVHoWhccTt/b4xLCp0kKHx7Szm/D6kYXksyjkxOVnz5hBCUswQnwu18tLAkp5JK8xaIl1QXfYVxJCNAw2jIHGXx+WlFj54iPPA63Of7+te+Pzzgz17yoLaFYa3GztfDCooaOfUOWtk9H5HQ8lMPD80CxWsLB8P8cSrzZOKa/MVCFTjf46FQJ5B9+6wA/t2FNHOcZEHy59GrDnb9dnVq38YBJWKsxEKQ3Xu+qCe+nppapJctDSQmCCfJL6WRLwfwotTCBJg/ORDHfpJiY89jed3KK3+4O8aVm9M9Lh+dVj7Z6Gm06LQLW5IO7rC4Kb1kEHhBo4YPspSCakCwuhv3olLTT7ajlU5sXQbwVT4eT4bYhLxzCKtGKZFK6X1VmLDS9rD+2FJy1tcLFBwpGFfYRE4PJ2/wlVpAAq8XEk+2sG4C4SknEuSl6C+ds7rsNMAU/z85eYrvHohlbdxHsVHR6s3VmVg9fyjhVyBgsfh2Ham5JuHX78/p/CZo9pKEUCC9pxgtFl1Batc+paHQKZ/fM6dss+qFGlLSi1+Whn3thcJho5QhI26Qe/sapxKETujx0p33P/LXdMl2jQAFAb4izwv9wO+r3Nycr5QDn3N/vbP4/HYO+x0hz/9CfvdHzOc2+Nt/Yr7maCH/7kgvGi235xECf3NteFfcC+SJpIfxh0VZXBX7t7+Sgz2s8C249uKf1UEvs4BLREzKfAPAQYABwnr3xmdJycAAAAASUVORK5CYII='],
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'],
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'],
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'],
['Amoebas merging and 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'],
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82aMQN06G+DvwGvRRH9Qg6ZUC4biM71KPSqFjd8BknRVmcXCyaJd6g6COgcm/rO4Y931FfXb12f/lrxanYXF2VqyBkK9uNXEQWbaxxKa1piIu8bxIoQ2pIiK6r+FnN2ZZ6RC4gBmm2SVGAAZqiOdQEJ0EYXhxkOGZrWI/SSKpfGiTdtTVF0/t2naAh6KreseXH0ggkvbNr6znOrH+hvYRZ0hpyVUL/1kVCFFMKqsokqA0EGZ5Ri7kI70giP3KhiKFMUSYTANtsCiCgWK88mvEqGM7mtROdbiszYbRAwNws5EBygI0Uh4KkkyoT1Do/H46neP3du+vKxFWNXbdzWL4aZc+ymtS89v6oMSJga/4RG/EgRVSKLEjHX2RUtdmKmp05M1Lj6kYThsUBA1eTsJN5y4ECrEluVS+FUx22phapCUHGW1TK/QUYmPwKehEk0Zfw5EJMw9NbQjbMGnthSXRbsr8DKsRUvvrg3NTVhdyhOVZm/BEgBj2cimTum56p3qgQOzEjBtI87AN0JcIyRrFYFuSxugFqo3jLaEO+soIxGW3aiAApmJMtXkGHq7ICyVS+rKctZ9mOdtkL53dy8e8C8E9u39688+Ttw0clXPpg8IXXT8o27g/F07e008zoa+MKU/9zM4gU/TvmmHABEu+NDHHOt8/1MJ3uampPlApcFFMzOgAOCB9YkWTNShABPXFaXt6bGDLiERQ7VCg74l/3aoEdcRqenr3T6L56yiv319ScPLH116ScTUscWF5dFn8xkX2KHLiAm56aE70Q3Skk7fguqTma0GRgHMyB8OYJVV6rKLAUivFf8iXUIcmh2J9NEyWYVgjqhZkxxqY0NQFllILKKWfY+sexO5d6vkjT6DBvmVdRXXzq968DSpUsXjU5//sTq0J2r4eG8oFDvfJHTWZr491tmtaGVY7uS4ec1CBBbMUmwGigtTW+EU91SeFGlqVU1JtGsIFmIZ1iwPsvNaAIiC4TMbLHdJVf86Q/9b+5kFWP311efOnhy4R6QcFD63IrVhoMyX1bhkEKM48k+Ht2UmY6bRDUt2w/M0Z/pNXpj1OybbzFSJa1qISn55YgaXmax2wFgVCF2Qn4R9bptOCLaIVqAkwdK0LcFPHfuoe+dA9WsnrvmnfrSolMXihYu/eSjJ7c+t31fs36FMH/ET7+IaCr5Vu+JklYE1ffiGUgy+9oaLTqxZDhQJRqerzGz3NDQoah6swk4F5A5HBSMpALq5tUNJzYEdWKdcOTMz7mr/8ae/eGUL89BNcS0bSe21H9wOnhw4ZI9Bw6sXPd6+t55Qw0VFv72d0POMe07mmNgWhRgOTkYFWZ98fNk7inljYOTq+yiUdqLSgNEATGaYRyZIV1xLIYEoEAtAmWQH6TnpKcFw3FNebni3Q3CZ3//5Q/OnYOaKzQgYcGVKx+wAwsXHli68KMFO95ZsdtwQoaHDAn0jVU9o8eKQRwoySnErOSL7/2Am1ipKhBcoFDEy3bAcTnPHPN8EJTcUmgvCMjcPovIlWbzA3iChNJImdPHjAy8OFmnFnrLjXdUv2j/zyHcNVloXsKT6w7/7fSSVxfuOXB60Lr60u3VUdrKfvnLCO7rgUyNNyTg3C6s1z7twLCoOL2ztQXoBSCKXohSKduNabRPqPoKIF/dFno0s2DDAV55yj7OC0FSvUuLbYhkNcLJgH+oOIzBrfy/K/mxwWbZxoSBz328aOmePQtPHbxybP3+rXOjArIhX5w718cB4Tye5pAzFnBGVwWFdYZKah2iXS4HEgkUG+kAyKCU0WNCQd7GJhPrFXqZMJhXEAAzDgfgDuPUjB8CviKJtUAzw1aztR3SJcv6+Y9/HIgYk4ygc+8zRxb97eCpUwcPHn57/Tt790bTDAXxIiyecNjuDZWVnn0J+0L9wsVQMSssZGbTITtRk/JcXEDmdrssLs5uZsxwFxLuYQJvR7a5AAiBzsosIJmbLAYLhnoIuVuvNyruzMwsQCKs+ktKlgUCRv0Ij96+6si6Had2XVn0wZsTtu6Pc5pYemI7d4Y8zg3FDwxY+8zY5Sua++YslcSTD2ngDuVb7OYtIZaXl2QGPkFVR1LyMq/OZiB4TNkZVQjw3QpVkGJNa4iWKECNpEMp0zFuAlDUmwGsZDMAfuwpno2zRo+eMOjlyUeOrKlw3oXTjFUOTBg79vlNxWMTZlVUVK/xqMFvJ1VwRqSU83ojyZjIgK01o+mKlaZMgJheQBJRrpPtMtI7eJBOE4+zeHuKSi2JIkMNOs0B1gZqvNO7ZqsHpM6dPXv9hNdfHzCA3UXEPJUr5qanJiS89Nqaii1HnNX19TFWFsv/LNgcYpxI6y1WRPTkwgz3AtYF1atF5Rrsobhzuox435B3+lRI5tRoUFktvE/C+1Icu5hjMOfl4K7xAGChffPucYbqq5u37+4vn+elvaPXPzl69tzRE9bUFxXVX6quruYq5Ob3rNAjhjW/dQ58lURPrPe3gAIhXUKjTuD3hDRDFFNHmyJqevJXce0hWR+naCx5cABBmQo+qsJJqZTsh/TrKpkSiVeeWmjbbsjxHs/dsBFc63znyIQJgz44NvlUUU9PT1FRkccDCbj0Dy9ufTF1/1agZ2WPbCsLqVFZYrEj56dAYciIMYHSbyogu9iUJ5tNPDXyVF8eAUvqmZzYBIUDDHH93AI2Zg6IHubLCYf7uxHQ7tC3+tL16y+dOTN50ZVFnx0E4YpKT5364GSpVvTBuhdnjx79Wjro0HN22z41Wo3HuqrK8Qa76XoiUDPKiNFmFAXFTqry0CGRZ08KaNORb+rspHp3XHHz0lxlgcUOM8IBNxxAzHZogf6dVE7I7m6gs0sLjl1ZeXjpK5+PepdpN0qLSg+eXPKqdurM5KIzs9PTX1izqppF4YXX+TrDVwkqR7WN3xwf2WnGZqQZroSEnFrew0uz8ZI2P63G3pJyPC2NR4OKzC49NgioDYqLQIDjX0G+wugUV4R+V2HHIiQm6N8+uLCyaNd7u66NGjfndndpd0/R5xe1otOHSw8vmDBhdHrCieqY2lU+MgQvp8ivsMbGlkMpI+uw3NqSXWX4YC7EMsPZvMvDGmsVs8RMKQV6UuHJG5wyAqJH+PgCglqxyoliyYwvCgOGDtX+hbv60yFGCgyShUtO7yrq6WWXZ059dE7X+WtdXROHX7t87fLKxz7+6NgCIJCr3opWA4QE01Kkct735NRaEc1pnRKSTQ6X/gzBRqNtLcqqbDKnEtQM1Z3q9eX5Ce/JhiN+nqP0UMNuRWGWxS6fLYyp1o9TQQSaC393Tv89hC8cWHm+6zbvK3Yf/ee0y+MuXp04fMzUMV3duy5cK710bEH63A37Yn0oANTjt44X2PjEBXgewg4vn7UxJkK4UiE+QowIVQrWn6mXhW7HYpujsQ0kdBXq9RMcz1aV2ehAjDkcKIx4gWnkLj48Jsia4c4xsq1av+7A0xe7Snt7eXeBPfXUgxOvPT1u5uNTH+zqLirt0oKDjs1+Yda8bUYRS1Wr3yaZ83yBX04BCSP+9hIDbNn1bFUBLI7ZJzDYytQ+BY3N6valJTPK/MsUprcniTdZCJgtCOXLYH+NDmlnPBdE2nlTviUtG0Uxrvqdt/9477XzXbz7Qdn7/3X06OXudz+8BgJO677dowVPf7zjnfrlD/xofNTKUIAizHyb/++XTK8NYr1Ye4tp5P8BNqNDC+a9eC1OM4FNiAEJSBgf2jVl60M+RXYl50G0KOIkmXdJTcsK9XxZOCLMkGIqD0Tzj2dfffDeMY9P677Ry9t27//X949e7vrjqOHDH58550Zvz9VRn39+8tKWscUVzW/F50IaoZFwbKgdW6iw1/29nAhBfTpNIwG9SatSYzRJOHtgmFmt1jCzOqC4YXw6QCKEKOYI7wXZWxvnP8FtQWsErMgKviWGo43je7ZsvfL01AeHvc/+8f33e9n73x92o2vl6Wufjuu6PGzYnOHDxzx94PCmgRWV1XyqHOuMfGvGRxW3udNEoHDnJJAFXDzpUgqkmuiTDi6qRvLyAr6sTHeYuYBJ6K1gjEQbx0URSZPscA2S8wrqymVRuhW1DGu+JyH9jcPvTnx02I1h/zWs9/aw//XUh6MOfr2r63wPG3b06NRpoz6/cGpvwoAyFgwFv3tsblgR0esjJYGPf3hl7LMkJzEV2az6SXhNSJG1KUkJ2NwOW0nOjBmx5IxqTHyCoyCKAQhFScZEwkByyqODJxb61cb9rw9aOmpazz+G9fbeuHFj2C/uvXjqwq5d3az30aeOPjpqzHullw6fKN529odn/6duHmVSTYMigJ+Bp0uZGTUZDg2LUk2tRU8qcDTF5pI4yWI0K9MaNhZCqJqcpOpRC15rNvGswFvEgNeHTNEThJqdZRUTXv60i427cXROb+/t0mnDr6185cLK98b1/OPo0aP33lvESi9tvGfo+D+9xfqO9nQmGbzDbJnolWVBkuB5RHE0QAEAXBRLeRnMoDMsuQBFe4mODFcAWUW95ZLniw4E+FTrukKifYG0/CikAjQ7d+987cjKT+8dfvWpYbx/fH74xKKDp1595dPLl+d0l54v6jm4f0XxI38K9iGxLOQsqlwdKgsGQ3faORA4WMDmW8AEkMaLD8T7dYrPzfT0wWxJ0eYebfLZ/AEvgByJOjPPBpAHEu16aHF9drZEFRgEHl2xYu36I+99+OGDc0C7l89Pm/r4uD0LFz52uuvixa5dp3uKSjcU79v2ltPDYqHByiori1Y9smo7ZR7Pncl52CUJQO1bvlE40SN8YwTCs6kmw8aVqFqTosyKKn5sdbQBY62L7mwAIQInlQ6p0Q0mLOE4CQt5yirGznph9J6vnz5/u7fn9tTHrz04Zsyex5YsXfTJJ0+vPHk4WLr6nuVDy0IhUFbIo5NDz5ZKYEDPFy9ffc/Z5jsCsoBNEJXWFNmOCPJaZb4ScP16i296GxB7qlggAqKqtrFkAG1k68wQNWM1hOpz/GizGBN8U4m1jrVQ2c7iWc89ueCz00AFb1x7fNS4Cxc/PfjYkjMvTx705ttPzq7fOeAe51APgzKGvjX+Iajy2RtvkGDp4ZMvvlB830/OOu9MpXGbkJLWko9bTMw9P8vK6UBiC0JKbQOIDJV9axsx0rjVJ2RGGHKZs2Wd+RYkG414ajAvYN1iS6cxWGeaR9t+ImHgawsmv/zx7T9+9enKix+efve9M2d4I7m64pKzOuj0jB9fFtRpWvND35vCWKi+PlRU1HX+jQmpAx945If3B2NJEfigJFFaniZBnPhsUMQQ2Spy5oX8GOSxzlhmZHfN600CDUoI6SO9qkYLuEZnxyGzLyM2QZJbpuuJJugZum1D9c6xA0cvmHxl4ddfvbpnySuvfvXyR/sfru+BUuonzYw1//7340P6ShJrfgiqel45lxbd7r7c84f16QOL7/vTW55YLFOBA2ZaAeUrRXpZYqtq0zvWuKamxhpIytGLWx30+fRX0r1SdVttqmi3dYzMb1wcK6J4ha8b2FN2z6xQ0dqE9AULJi969dXHrnzy2GOfvfHGztd4TAy9735n80O/eRbMq6oAI1BehXaP31BZWlpUdKO7h53/14SXBgxtdnriAkq3UqT4UgTfaMvDRt2XUSvKVgA4f5XbRmILPWG/zrCYinmDWZEmpcVmFrGNhWCwuewtMJ5n7f4X3l5wbMeiRZP3Hzy1dsuJaj0azv7kT2fv+/1DX4aiGMea72/+j//YsuPkQahdgP50X1w6edZqZ1nMDanwTUu+RGNLb1RFIor3LSmRkJjZmJQ83+BbYHjkbipnRvfW70Ka6bgUm6lAXZbfYTRfda7Mqqvr969/vX7HjiPbMQvtnuXU223nzj7r+f2UUJw3sWd/c/8P79u7Y8w4DQSkWs/j415eULH7vvGG45B84VZDjD0wl6PTjuKYzQ0O6ccithf64ztWEWTJ8OobVKamxmxHuYEelJMJdiu/Kdp0MPJhUeX+1+svQYEbNHBC/+jLKTioEXaHiwMev3X/R0smTizq5U2qnnHjrhzbUjl+aKVBLeuEusS4ArMGl9tv9l2Bwbyc9gdcek+WN+bC7gDOE3iLOyBjKdka7UQREeiMknbITli/IUt1xUcva4Zohnznnn32WUzu7igzNujp4cPP93I2wrpHde3Yunz5eGc0BQv2SXJsjZFXzUjqU7HxhIIUxEshvescAebAlCwENFtCEY3orSpeq4o3W+sSR45M61tKBUMAKUVFfcsqdu6h7/0gTO7eSmQbihd9Pe58tz73HTf8fJFn+YndMScU5OOSgaaQeBUFcnGNEYyxYxrdEr4IBNwc2YQ8C+QbjslAAq0WPsxHvKdtE1o60V196VAw3uaO/cDf+wJ/u/O9uzh90Mrz3byEYd1jPi31rNodbykK2HRTPxKAfoPdCoVpNtJ3YGLrPUZC1kcGBLgYylg2mOj9bywp7jaFyZNqHC4U1Lf/6HevmbFLbwdj3c07IvOQjP06qzh1/a6JE28zdrvr3muHz1QaS6X8I4EqsuF2Ysr1BpvF5iJ6M5X5sn1xX2HKYAdfAw4kzWhjOIBcAb41ABzNx6iUJgVsEfVu4frPzNa/HtQ5HA7EHchiK4kvebKhDxTPevtf957v7jk/rfTwG5dCMfncbYKi9zbh6UqKBFRGFPxcGYotMzspoBjEhZKsGZkCJRqyZnn5BNUWUfRq2sZHViwYORf+t8RTDXE6HFrrBBdBWs78qIGpVpCRZY6foOyBB4pTJyx97I8XPzx56uPZ1SQmYFOe0MJDldMnqI86ZGyzZFoJRjZLsktuSrKpuhPirNaMJtAc78VquH2ZiwH7UQMiMiaUJIL7r5P26bGxEOFZxrMdqhkJ2eKL1xrQEwuKUb/g9tWrZyWMnvz2sX8tSt/bo8YqFTi+YMKIDyYIlyMxzRxATQoBIFaRZGVJcGCVj+uJorKcEUlJLt62HQG24YvDloCCsEnhM+w7Chz/Fm+yQXwEDRr1B2ND2dMM9BaV5GTF2zpUQ37EgiR2rOZ9K2YNTB894cza/VqwT/UryFhf3gDrYhrpaGU6aeLVWsBihZzDeHVHWbjJWvKEg8/9KG4H6qhiV5KFb0ZNr+qf1H74p6GA9MHxgKZFIOLWCXokM4+Td2yntJvMfEAbrWx/O6J9yrk7vbzgzk2zZj2P+1d3RCDR/RUkUr7DjPR8QxFWptdUqcxqmVHid/tyFe/PFluzbAov9/heC2kfITT5A+7CzX2nUWzo6n27z44vc4bOOp319fB/cOtrlZyZ6JtFgd88VJg2vSa6M6qS9s2/nRKOd0/UYIjsLHPe1SgWuYCQfdryRD9EPXLpKzVI7rhFmqBSJlXCjBKfQ07OKbEFGDFHVBJOyioEiPHnWAvgO4UlfQbUjM2bt3zght2hkHPoc7P/cOTNrdVrtqampz5j7EHi+++f8tMkWTG7jT63ihcvLmyP9JEw+O3xIBZ4kxOJvmSvBJVFQOG5SVXkLEFfg1YDFhoYYWX+pACvmnlNgny//jXToM5X/TWRSJjFOqRMhTK8bHf1hhfWO+tD9YPe/mjRy5/seGHr6PT0FUEdKslZJ8oR+XjdZOYYRMmyJ8zo7hXYu6dngj4atx+qbYKSKLrdDYIJMyTCXH4wC8GFEWyzxv8RglJSaIUzQUm12IF4bR/T3/Yybtb60LpBH719+uuvn4bXK3uq33ktPT11U5BFVzAYb6HUNBFmc/C9z2wE0cy+S67YUvxNQVFErKn2AkdSRrJOgiizFiKEpYDys8X6cJ8BX4ivLbdnlfiz2uFvVW+e2qfT6tx4z8ZVa/au9Rz86sLJCxcu3Dt8zPAxH351+MiRtxekjr2zUAWaFDMdJCejAOJYqgEGZ7Rc+nca9X/CQVWKy/8i3PrrTc6f87z+rKxon2/xz1x+7C8RvNHJqL5DZtwB/bbQH9jsAlvnQsbwu+LANf6BXz2wavT6U+fHvddVVNpzfsyDj0978N4Pv/rsk5ePpadXs759RF+T0uSz6jNvICd6pu0/XtZ3oZDpL///1t8lgaR1cPA3BuWcFA5OyirZ7PYzDFUJMTyYTzMMJt0+ooSER5SAZgUoBjJyp4Sjebly468eGbi39HbX1cu3b/e+P/PBOTe0nqvXDp5+bOmbs9MrWd+OBkq2yIrLmFipskhRJGIEdoxFh8Gxbn1T99dvRIwEmj/yOJ9n6t1ivhog+F1uFPEvdkX7pypDm1F0TZe5cpa1awG+mON1ACCWfGHksVDZvAceKU5dy1jv7Rs9vaz7qX8Om9PLHp/W9fgfl3zw4lzSV4MoI0lCxG+gDxXLG8RIpD3MeRHWaTLfiseShDCGShYEJDWdNoMRsnCyoi/bmqlq+bkrdlNsFZK9xsIvDo/YzOEN/NtKCAGwNhTYPHT1vEcS0p9ko6728EqUDXv0qfd754CAwy+uXDfhyf3OO/PYlqpMG1gkSoxZW0atSQwss9gIKvwdlGQqaxJQuaTwf5PEWQsIWOUWibGJ4c91ywjSoF9Dgs0W25HErozMDBGwOuzyoyw/77aqFBIS8WfaYljqrBzwwMDRiy4O1/c1GX1/5kytd1h39+Wi0oM7nqx4eGvMV62DmyS+LIGjBTXLyLBZTIktqoKeGFFokzpEVpUhdV6vkzUjpQhwJj7GVvWVf4dXCiCszyBQAEVbBRTM7jMpjgKgYgYQQewFlEiEZOQaLgggMG/jpoTRS56eOM1Yh5z2/o1/9P5i5vmu0tLSHW+sWGXwY4AgMSnC96EJsQrEgNhak7clX2QYuZKq7KY6M2GHyhUxsY5v96n6ODaa4qhsxo0uIAeEz1D46kjAgqK5zwcGsCTXmBmJYgAcor0kIgwewukTr21/tHPLw5OXXOvu5smrZ+bUme+/3/OLXzw47Wpp0ZkF6RXRiQPfV6XGRo83F3GCSFGKqTM7jU+smeQNyCM7qcrH/8YOFf/XEHHnRZLF55P09Q/D4tiVqY+OKWn3WwH2mBUZ24A6RSRhV8DqH2IU8qHq1RWbXlj0ykV9Y5jd/uecq9du3GYzp06debsI8C7Ienv1ta5gENgXbwH2Sp0ZguT3ByMpTQUS1nqDhJplrK8mGU0VjgEAP/8twAABtypORg2q0wAAAABJRU5ErkJggg=='],
['Nascent 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'],
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'],
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'],
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KiZDKFm1N1qrTRdACgXRQkDkn9ZIcXnAp6tsLzz30c36A3jxSgyTNpSfcnZt9Y3VtxL4VBiTlZ8aKsfrLVVtfmz7E09fWUjHQjIAUVPcSq69X6ceq2oqD4Zlh3G1td7VXYsFRtzqb23rutWEGMePF6mV8knLgKG+jJDe37677TcXHZpIN8DE0ptf/bpc7h1wYyod/PRf3FYMyX2tr9M/MtLugWHJUm+g+Gsej+FL6lHNyjfg5ksRUZDKWLDJlGKAs4oA185PBirLaqpWYoTKaLQUFRGuUTxg3OfS+AZw1WJNn3q82jKmfkfnrsucEAeobHYI0CSWFecHkJy5sBFathziHkyhwgpf6VEHtrTnBDq6QsbWYFDl3eqUu4NaxBsm8OCU4ciO2CBCVm0HVKqnmJHf7PJvdet1Qx4edEprDrtkBoXM2FNUj6mhXNLQWOMAdxR9si2lQcL66oXYkpOJ8yN6e7xhLoU6WDEDYOippX84zkRRuE7htBEYlL2i9RlHG12yftmANmuU0OSfyRnZ19zRskPkf7nsC4VpaaoQjchVkMDmF9bsur+9Re7WjWGuAbxLBjWPVqpfXqwlkEBeIUTqnpd22i4vfZLPhvk+ABI8DCsGQKjvOdp2rPrzJU53fm1zZ9MGwrffCm3vIERlHqKxWnXWy4MdyItPPxfi8OkpuMAjGYAVKGeHDEvElnJOXtw16M3yeFQ5xFhEimlkYNpVeLppcjCcc1YLLHuvzjM1Sg1AE8o7O7uochvqbTySg7ef6nEVBmqN9bXW5k6pKqtK4nJjF9+4dDLGfazWZVBpBkjScykR2L5EAa9P6Q7L3GPIzVarrKD00W99ej187OmdjkQeNcUWZtlxTGg6PYlJVDuLZC6/MFxchdSclSLD2nCZDsL2Ax744rJN9xKolKKj9U+2D5esoNMIEJhETBZ6d9mej5c8n7mnsQGpaQtIqxiG1gVlZx0J6zZcZwoZZQSGceaZHCcNkFvSZxJ5cSfWBLzwxqZFL+z44QtPrn68seSxr8o3fLD6H6JspxeagYTOFBYlqSeFLtyUA7TrUTgnpd2bgA5wddPEDkfkkdV7VmVeeS+mDnYeKi8/NvHiO3Lnx9ZJAgQixZmrP+JnbGTgmIATMNYPwNwjrt8BaK5IJ1HHJ4ZEPz9oEnr4gKiMB0S1rbQYSWxi5uO3gND1HXVBD8XViSPP+bhwMv6ZpB8mwOT7ZdEKKnHdII08OHdtGPClK+oBAXPURbIN2CCtAGNNvzOAUHYa8m07M00rgxZuFO6i0ytBvuM7XqyJARS6Q0j9LHYXSjIonWyJa4EA2f5ayjyrlTe6RWNWTk0KnayUOd1GQpu4R82I8KhZa+czFFFoyWR+mG6ArBnMEhGwzzQLdmOCOfnNIykASNGJu3H45mNqpo0Docs6vtfAvLDdGsnrIEkmbhfi633krE1EfFE2FmBR+ocFcBb7zsUYwktkmOlYgEqh5MMHyEaeGUCUEQgFttjeiFijG0XDBW55WaAnofmJZRSSijbNMurINdVCk362JzHZH5aRCMrFRceAc6pmO4yu/YoL4yChC0q/0B1D8JcCDACdNiVtRZBbnQAAAABJRU5ErkJggg=='],
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'],
['Silly string',139,-28,10,25,100,2,1,8,10,120,1,-160,3,'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']];
// Run simulation
function initialize() {
// Setup HTML canvasses
simulation=document.getElementById("simulation");
canvas=document.getElementById("canvas");
context=canvas.getContext("2d");
overlay=document.getElementById("overlay");
mediacontrols=document.getElementById("mediacontrols");
// Check URL for settings
let params=window.location.search.substring(1);
if (params!='') loadParameters(params);
else loadParameters(demo);
scaleCanvas();
refresh();
}
// Load parameters
function loadParameters(params) {
if (params==eval(params)) {
demo=params, demoactive=true;
params=presets[demo].slice(1,presets[demo].length-1);
} else params=params.split(',');
species=new Array();
let len=params.length-9;
for (let i=0; i<len/4; i++) species[i]=new Species(params[i*4],params[(i*4)+1],params[(i*4)+2],params[(i*4)+3]); // Species parameters
number=params[len], density=params[len+1], distribution=params[len+2]; // Experimental setup
size=params[len+3], trails=params[len+4], framerate=params[len+5], strobe=params[len+6], tint=eval(params[len+7]), colours=params[len+8]; // Graphics settings
createParticles(); // Generate particles
showUI(); // Update user interface
}
function saveSettings() {
if (demoactive) return;
let params='?';
for (let i=0; i<species.length; i++) params+=species[i].alpha+','+species[i].beta+','+species[i].gamma+','+species[i].radius+',';
params+=number+','+density+','+distribution+','+size+','+trails+','+framerate+','+strobe+','+tint+','+colours;
window.location.href=window.location.href.split('?')[0]+params;
}
// Set species parameters (or assign random values)
function Species(alpha, beta, gamma, radius) {
if (alpha || beta || gamma || radius) {
this.alpha=alpha;
this.beta=beta;
this.gamma=gamma;
this.radius=radius;
} else {
this.alpha=Math.round((Math.random()*3600)-1800)/10; // -180.0° to +180.0°
this.beta=Math.round((Math.random()*1800)-900)/10; // -90.0° to +90.0°
this.gamma=Math.ceil(Math.random()*500)/10; // 0.1% to 50.0%
this.radius=Math.ceil((Math.random()+Math.random()+Math.random())*33.33); // 1 to 100 (centre-weighted)
}
// Pre-process values
this.alphaRadians=(this.alpha/180)*pi;
this.betaRadians=(this.beta/180)*pi;
this.r=this.radius;
this.v=this.r*this.gamma/100;
this.s=this.r*size/100;
this.s2=this.s*1.618;
this.opacity=1;
}
function randomizeSpecies(i) {
demoactive=false;
species[i]=new Species();
scaleRadii();
showUI();
}
function removeSpecies(i) {
if (species.length==1) return;
species.splice(i, 1);
scaleRadii();
showUI();
}
function newSpecies() {
demoactive=false;
let i=species.length-1;
species[i+1]=new Species(species[i].alpha,species[i].beta,species[i].gamma,species[i].radius);
scaleRadii();
showUI();
}
// Generate particles
function createParticles() {
particle=new Array(Math.max(number, 10000));
for (let i=0; i<particle.length; i++) particle[i]=new Particle(i);
}
// Define particle parameters
function Particle(i) {
if (distribution==0) {
// Uniform distribution
this.x=Math.random()*cw;
this.y=Math.random()*ch;
} else if (distribution==1) {
// Centre-weighted distribution
let mx=Math.max(0,(cw-ch)/2), my=Math.max(0,(ch-cw)/2), min=Math.min(cw,ch);
this.x=mx+((Math.random()+Math.random()+Math.random())/3)*min;
this.y=my+((Math.random()+Math.random()+Math.random())/3)*min;
} else if (distribution==2) {
// Striped
if (species.length==1) {
let stripe=cw/2;
this.x=(Math.random()*cw/2)+(cw/4);
this.y=Math.random()*ch;
} else {
this.x=(Math.random()*cw/species.length)+((i%species.length)*cw/species.length);
this.y=Math.random()*ch;
}
}
this.phi=Math.random()*tau; // Set random orientation (radians)
this.phiSin=Math.sin(this.phi); // Sine of phi
this.phiCos=Math.cos(this.phi); // Cosine of phi
this.L=0; // Neighbours on left
this.R=0; // Neighbours on right
this.N=0; // Number of neighbours
}
// The user interface is generated dynamically using the following functions
// Update user interface
function showUI() {
showSpeciesParameters();
showExperimentalSetup();
showGraphicsSettings();
showPresets();
addEventListeners();
}
// Show species parameters
function showSpeciesParameters() {
let speciesHTML='<hr><div class="collapsible collapsed"><h2>Species parameters</h2><p>Particle behavior is defined using 3 parameters: Alpha is the angle the particles turn at each step, Beta is the angle turned for each neighbour, ';
if (species.length==1) speciesHTML+='and Gamma is the distance travelled at each step.</p></div>';
else speciesHTML+='Gamma is the distance travelled at each step, and Radius is the size of the neighbourhood.</p></div>';
for (let i=0; i<species.length; i++) {
speciesHTML+=showSlider('Alpha <sub>(intrinsic turning angle)</sub>',species[i].alpha,'alpha'+i,-180,180,0.1,'degrees');
speciesHTML+=showSlider('Beta <sub>(reactive turning angle)</sub>',species[i].beta,'beta'+i,-90,90,0.1,'degrees');
speciesHTML+=showSlider('Gamma <sub>(step size)</sub>',species[i].gamma,'gamma'+i,0.1,50,0.1,'percent');
if (species.length>1) speciesHTML+=showSlider('Radius',species[i].radius,'radius'+i,1,100,1);
speciesHTML+='<p>Settings</p>'+showButtons(['Randomize','randomizeSpecies('+i+');','Remove species','removeSpecies('+i+');']);
}
speciesHTML+=showButtons(['Save to URL','saveSettings();','Add species','newSpecies();']);
document.getElementById('speciesparameters').innerHTML=speciesHTML;
}
// Show experimental setup
function showExperimentalSetup() {
let experimentHTML='<hr><div class="collapsible collapsed"><h2>Experimental setup</h2><p>Here you can alter the total number of particles while maintaining overall particle density and/or alter the particle density to your liking, and the simultion will scale automatically.</p></div>';
experimentHTML+=showSlider('Number of particles',number,'number',100,10000,100);
experimentHTML+=showSlider('Average density',density,'density',1,100,1);
experimentHTML+='<p>Redistribute</p>'+showButtons(['Random','refresh(0);','Centre','refresh(1);','Striped','refresh(2);']);
document.getElementById('experimentalsetup').innerHTML=experimentHTML;
}
// Show graphics settings
function showGraphicsSettings() {
let graphicsHTML='<hr><div class="collapsible collapsed"><h2>Graphics settings</h2><p>Altering these settings will have no effect on particle behaviour, but may increase processor load.</p></div>';
graphicsHTML+=showSlider('Particle size',size,'size',1,50,1,'percent');
graphicsHTML+=showSlider('Particle trails',trails,'trails',0,10,1);
graphicsHTML+=showSlider('Frame rate',framerate,'framerate',5,250,5,'fps');
graphicsHTML+=showSlider('Strobe <sub>(show every nth frame)</sub>',strobe,'strobe',1,10,1);
graphicsHTML+=showSlider('Tint',tint,'tint',-360,360,10);
graphicsHTML+='<p>Colour scheme</p>'+showButtons(['Short scale','setColours(1);','Medium scale','setColours(2);','Long scale','setColours(3);']);
graphicsHTML+=showButtons(['Auto scale','setColours(4);','Colour by species','setColours(5);','Monochrome','setColours(0);']);
document.getElementById('graphicssettings').innerHTML=graphicsHTML;
}
// Returns formatted slider HTML
function showSlider(label,value,id,min,max,step,units) {
let sliderHTML='<p>'+label+'<span class="right';
if (units) sliderHTML+=' '+units;
sliderHTML+='">'+value+'</span></p><div class="slider"><button>◀</button><input id="'+id+'" value="'+value+'" type="range" min="'+min+'" max="'+max+'" step="'+step+'" /><button>▶</button></div>'
return sliderHTML;
}
// Returns formatted buttons HTML
function showButtons(params) {
let buttonsHTML='<div class="buttons">';
for (let i=0; i<params.length; i+=2) buttonsHTML+='<input type="button" value="'+params[i]+'" onClick="'+params[i+1]+'" />';
buttonsHTML+='</div>';
return buttonsHTML;
}
// Show presets
function showPresets() {
let presetsHTML='<h2>';
if (demoactive) {
document.getElementById("overlay").innerHTML=presets[demo][0];
presetsHTML+=presets[demo][0]+'</h2>';
} else presetsHTML+='Presets</h2>';
for (let i=0; i<presets.length; i++) {
presetsHTML+='<div class="preset';
if ((demo==i) && (demoactive)) presetsHTML+=' active';
presetsHTML+='" onClick="loadPreset('+i+')"><img src="data:image/png;base64,'+presets[i][presets[i].length-1]+'" />'+presets[i][0]+'<br />';
presetsHTML+='<sub>α'+presets[i][1]+'° β'+presets[i][2]+'° γ'+presets[i][3]+'%</sub></div>';
}
document.getElementById("presets").innerHTML=presetsHTML;
}
// Load preset parameters
function loadPreset(i) {
loadParameters(i);
lut=new Array();
scaleRadii();
refresh();
}
// Add functionality to the user interface
function addEventListeners() {
window.addEventListener("scroll", function() { popOut(); });
simulation.addEventListener('fullscreenchange', function() { simulation.classList.toggle("fullscreen"); });
let collapsibles=document.getElementsByClassName("collapsible");
for (let i=0; i<collapsibles.length; i++) {
collapsibles[i].firstChild.addEventListener("click", function() {
collapsibles[i].classList.toggle('collapsed'); });
}
let sliders=document.getElementsByClassName("slider");
for (let i=0; i<sliders.length; i++) {
let slider=sliders[i].childNodes[1];
sliders[i].firstChild.addEventListener("click", function() {
slider.value=eval(slider.value)-eval(slider.step);
update(slider); });
sliders[i].lastChild.addEventListener("click", function() {
slider.value=eval(slider.value)+eval(slider.step);
update(slider); });
slider.addEventListener("input", function() { update(slider) });
}
}
// Pop out the simulation when it scrolls offscreen
function popOut() {
if ((document.documentElement.scrollTop>(document.getElementById("presets").offsetTop-document.getElementById("title").offsetHeight)) && (window.innerWidth>=686) && (window.innerWidth>=window.innerHeight)) {
if (!simulation.classList.contains("popout")) { simulation.classList.add("popout"); scaleCanvas(); }
} else {
if (simulation.classList.contains("popout")) { simulation.classList.remove("popout"); scaleCanvas(); }
}
}
// Show/hide overlay
function toggleOverlay() {
overlay.classList.toggle("visible");
mediacontrols.classList.toggle("visible");
}
// Toggle full screen mode
function toggleFullScreen() {
if (((document.fullScreenElement && document.fullScreenElement !== null) || (!document.mozFullScreen && !document.webkitIsFullScreen)) && (window.screen.width>window.screen.height)) {
if (simulation.requestFullscreen) simulation.requestFullscreen();
else if (simulation.mozRequestFullScreen) simulation.mozRequestFullScreen();
else if (simulation.webkitRequestFullscreen) simulation.webkitRequestFullscreen();
else if (simulation.msRequestFullscreen) simulation.msRequestFullscreen();
mediacontrols.lastElementChild.innerHTML='fullscreen_exit';
} else {
if (document.exitFullscreen) document.exitFullscreen();
else if (document.mozCancelFullScreen) document.mozCancelFullScreen();
else if (document.webkitExitFullscreen) document.webkitExitFullscreen();
else if (document.msExitFullscreen) document.msExitFullscreen();
mediacontrols.lastElementChild.innerHTML='fullscreen';
}
}
// Apply user settings
function update(slider) {
let val=eval(slider.value);
slider.parentNode.previousElementSibling.lastChild.innerHTML=val;
if (slider.id.substr(0,5)=='alpha') {
species[slider.id.substr(5,1)].alpha=val;
species[slider.id.substr(5,1)].alphaRadians=(val/180)*pi;
deactivate();
lut[5]=new Array();
if (paused) { countNeighbours(); drawParticles(); }
} else if (slider.id.substr(0,4)=='beta') {
species[slider.id.substr(4,1)].beta=val;
species[slider.id.substr(4,1)].betaRadians=(val/180)*pi;
deactivate();
} else if (slider.id.substr(0,5)=='gamma') {
species[slider.id.substr(5,1)].gamma=val;
species[slider.id.substr(5,1)].gammaRadians=val/100;
scaleRadii();
deactivate();
} else if (slider.id.substr(0,6)=='radius') {
species[slider.id.substr(6,1)].radius=val;
scaleRadii();
deactivate();
} else if (slider.id=='number') {
number=val;
scaleRadii();
} else if (slider.id=='density') {
density=val;
scaleRadii();
deactivate();
} else if (slider.id=='size') {
size=val;
scaleRadii();
} else if (slider.id=='trails') {
trails=val;
} else if (slider.id=='framerate') {
framerate=val;
} else if (slider.id=='strobe') {
strobe=val;
} else if (slider.id=='tint') {
tint=val;
lut=new Array();
if (paused) {
countNeighbours();
drawParticles();
}
}
}
// Indicate that demo is no longer active
function deactivate() {
if (demoactive) {
document.getElementsByClassName("active")[0].classList.remove("active");
document.getElementById("presets").firstElementChild.innerHTML='Presets';
overlay.innerHTML='';
demoactive=false;
}
}
// Scale canvas size in memory to size on screen
function scaleCanvas() {
let onscreenWidth=canvas.clientWidth*window.devicePixelRatio;
let onscreenHeight=canvas.clientHeight*window.devicePixelRatio;
let aspectRatio=Math.max(window.screen.width/window.screen.height, window.screen.height/window.screen.width);
if ((Math.abs(cw-onscreenWidth)<1) && (Math.abs(ch-onscreenHeight)<1)) return;
// Pause simulation and prepare to scale canvas
let wasPlaying=false;
if (!paused) { playPause(); wasPlaying=true; }
// Scale canvas size
canvas.width=onscreenWidth;
canvas.height=canvas.width/aspectRatio;
canvas.height=canvas.clientHeight*window.devicePixelRatio;
// Scale particle positions and radii
let scaleX=canvas.width/cw, scaleY=canvas.height/ch;
for (let i=0; i<particle.length; i++) { particle[i].x*=scaleX; particle[i].y*=scaleY; }
cw=canvas.width, cw2=cw/2, ch=canvas.height, ch2=ch/2;
scaleRadii();
if (wasPlaying) playPause();
}
// Convert unitless values to pixels based on particle density
function scaleRadii() {
let area=0;
for (let i=0; i<species.length; i++) area+=(pi*species[i].radius*species[i].radius); // Area covered by each particle
area=(area*number)/(species.length*density); // Total area required
let scale=Math.sqrt(cw*ch/area); // Scaled to area available
rMax=0;
for (let i=0; i<species.length; i++) {
species[i].r=species[i].radius*scale; // Radius in pixels
species[i].r2=species[i].r*species[i].r; // Radius squared
species[i].v=species[i].r*species[i].gamma/100; // Step size in pixels
species[i].s=species[i].r*size/100; // Particle size (circles)
species[i].s2=species[i].s*1.618; // Particle size (squares)
species[i].opacity=Math.min(1, cw/(160*species[i].s)); // Bokeh effect for large particles
rMax=Math.max(rMax, species[i].r); // Radius of largest species (minimum size of grid cells)
}
if ((rMax*size/100)>3) shape='circles'; else shape='squares';
if (paused) { countNeighbours(); drawParticles(); }
}
// Restart simulation, reload current preset or load previous preset
function back() {
if (elapsed>2000) refresh(distribution);
else if (demoactive==false) loadPreset(demo);
else loadPreset(scope(demo-1, presets.length));
playPause();
}
// Load next preset
function next() {
loadPreset(scope(demo+1, presets.length));
playPause();
}
// Play/pause simulation
function playPause() {
if (paused) {
// Play simulation
paused=false;
time=new Date().getTime();
step();
} else {
// Pause simulation
window.clearTimeout(run);
paused=true;
elapsed+=(new Date().getTime()-time);
console.log(count+' frames, '+(elapsed/1000)+' seconds ('+Math.round(count*10000/elapsed)/10+' fps)');
}
toggleOverlay();
}
// Begin new simulation
function refresh(rd) {
if (!paused) playPause();
if (rd!==undefined) distribution=rd;
createParticles();
context.fillStyle='#000';
context.fillRect(0, 0, cw, ch);
count=0, elapsed=0;
playPause();
}
// Advance simulation by one step (this function is called multiple times per second)
function step() {
let ms=new Date().getTime();
count++;
moveParticles();
countNeighbours();
if (count%strobe==0) drawParticles();
ms=(1000/framerate)+ms-new Date().getTime();
if (!paused) run=setTimeout(step, ms);
}
// Count neighbours (L, R and N values) for each particle
function countNeighbours() {
// Create new grid
let xCells=Math.floor(cw/rMax), xSize=cw/xCells;
let yCells=Math.floor(ch/rMax), ySize=ch/yCells;
let grid=new Array(xCells);
for (let gx=0; gx<xCells; gx++) {
grid[gx]=new Array(yCells);
for (let gy=0; gy<yCells; gy++) {
grid[gx][gy]=new Array();
}
}
// Assign each particle to a grid cell
for (let i=0; i<number; i++) {
grid[Math.floor(particle[i].x/xSize)][Math.floor(particle[i].y/ySize)].push(i); // Append particle index to a grid cell array
particle[i].L=0, particle[i].R=0, particle[i].N=0; // Reset values of L, R and N
}
// Let's get counting!
for (let gx=0; gx<xCells; gx++) { // Step through the grid cells (left to right)
for (let gy=0; gy<yCells; gy++) { // Step through the grid cells (top to bottom)
for (let gp=0; gp<grid[gx][gy].length; gp++) { // Step through the particles in each grid cell
let i=grid[gx][gy][gp]; // Now we have a particle index and we're in the right cell
for (let cx=gx-1; cx<=gx+1; cx++) { // Iterate through the 9 neighbouring cells (left to right)
for (let cy=gy-1; cy<=gy+1; cy++) { // Iterate through the 9 neighbouring cells (top to bottom)
let sx=scope(cx, xCells), sy=scope(cy, yCells); // Wrap screen edges, Pac-Man style
for (let sp=0; sp<grid[sx][sy].length; sp++) { // Iterate through the particles in each cell
let j=grid[sx][sy][sp]; // Finally we have both particle indices
if (i<j) { // No need to check twice
let sepX=scope(particle[j].x-particle[i].x+cw2, cw)-cw2; // Calculate x-axis separation
let sepY=scope(particle[j].y-particle[i].y+ch2, ch)-ch2; // Calculate y-axis separation
let sepD=(sepX*sepX)+(sepY*sepY); // Calculate the square of the separation distance
if (sepD<=species[i%species.length].r2) { // If separation distance is less than particle i radius
if (sepX*particle[i].phiSin-sepY*particle[i].phiCos>0) particle[i].L++; // Particle j is to the left of i
else particle[i].R++; // Particle j is to the right of i
particle[i].N++; // Increase total neighbour count for particle i
}
if (sepD<=species[j%species.length].r2) { // If separation distance is less than particle j radius
if (sepX*particle[j].phiSin-sepY*particle[j].phiCos<0) particle[j].L++; // Particle i is to the left of j
else particle[j].R++; // Particle i is to the right of j
particle[j].N++; // Increase total neighbour count for particle j
}
}
}
}
}
}
}
}
}
// Advance particles by one step
function moveParticles() {
for (let i=0; i<number; i++) {
let ps=species[i%species.length];
let alpha=ps.alphaRadians;
let beta=ps.betaRadians;
let v=ps.v;
// Apply changes in orientation
let deltaphi=alpha+(beta*particle[i].N*sign(particle[i].R-particle[i].L)); // deltaphi = alpha + beta × N × sign(R - L)
particle[i].phi=scope(particle[i].phi+deltaphi, tau); // Turn clockwise deltaphi
particle[i].phiSin=Math.sin(particle[i].phi);
particle[i].phiCos=Math.cos(particle[i].phi);
// Move forward v and wrap screen edges, Pac-Man style
particle[i].x=scope(particle[i].x+(v*particle[i].phiCos), cw);
particle[i].y=scope(particle[i].y+(v*particle[i].phiSin), ch);
}
}
// Ensure values are between 0 and max
function scope(val, max) {
val%=max;
if (val<0) val+=max;
return val;
}
// Sign function
function sign(x) {
return x ? x < 0 ? -1 : 1 : 0;
}
// Draw particles on canvas
function drawParticles() {
// Clear canvas (or leave trails)
if (trails==0) context.fillStyle='#000';
else context.fillStyle='rgba(0,0,0,'+(1-(trails/11))+')';
context.fillRect(0, 0, cw, ch);
// Group particles by species and number of neighbours
let group=new Array();
for (let i=0; i<species.length; i++) {
group[i]=new Array();
for (let j=i; j<number; j+=species.length) {
if (group[i][particle[j].N]===undefined) group[i][particle[j].N]=new Array();
group[i][particle[j].N].push(j);
}
}
// Draw particle groups
for (let i=0; i<species.length; i++) {
for (let j=0; j<group[i].length; j++) {
if (group[i][j]!==undefined) {
context.beginPath();
for (let k=0; k<group[i][j].length; k++) {
let ip=particle[group[i][j][k]];
if (shape=='circles') {
// Draw a circle
context.moveTo(ip.x, ip.y);
context.arc(ip.x, ip.y, species[i].s, 0, tau);
} else {
// Draw a small square
context.rect(ip.x-species[i].s, ip.y-species[i].s, species[i].s2, species[i].s2);
}
}
context.fillStyle='hsla('+hsl(i,j)+','+species[i].opacity+')';
context.fill();
}
}
}
}
// Select hue, saturation and lightness based on colour scheme, species and number of neighbours
function hsl(ps,pn) {
if (lut[colours]===undefined) lut[colours]=new Array();
if (lut[colours][ps]===undefined) lut[colours][ps]=new Array();
if (lut[colours][ps][pn]===undefined) {
// Build look-up tables
if (tint==null) tint=90;
let st=sign(tint);
if (st==0) st=1;
if (colours==0) lut[colours][ps][pn]=tint+',80%,80%'; // 0: Monochrome
else if (colours==1) lut[colours][ps][pn]=(pn*7.2*st)+tint+',100%,50%'; // 1: Short scale (wraps at N=50, N=100...)
else if (colours==2) lut[colours][ps][pn]=(pn*3.6*st)+tint+',100%,50%'; // 2: Medium scale (wraps at N=100, N=200...)
else if (colours==3) lut[colours][ps][pn]=(pn*1.8*st)+tint+',100%,50%'; // 3: Long scale (wraps at N=200, N=400...)
else if (colours==4) lut[colours][ps][pn]=(pn*1.8)+tint+',100%,50%'; // 4: Auto scale
else if (colours==5) lut[colours][ps][pn]=species[ps].alpha+',100%,50%'; // 5: Colour by species
}
return lut[colours][ps][pn];
}
// Set colour scheme
function setColours(scheme) {
colours=scheme;
if (paused) drawParticles();
}
</script>
<style>
* { border:0; margin:0; padding:0; vertical-align:baseline; -webkit-box-sizing:border-box; -moz-box-sizing:border-box; box-sizing:border-box; }
*:focus { outline:none; }
html { background:#F9F9F9; font-size:3.333vw; font-weight:300; font-family:'Roboto', sans-serif; line-height:1; }
body { display:flex; flex-direction:column; position:relative; }
h1 { padding:1.125rem 1rem; width:100%; background:#32322C; font-size:1.75rem; font-weight:300; color:#F9F9F9; text-align:center; text-shadow:0 0.05rem 0.25rem #000; flex:none; position:sticky; top:0; z-index:2; }
h1 span { cursor:pointer; }
h2 { padding:1.25rem 1rem; width:100%; font-size:1.5rem; font-weight:400; }
p { padding:0 1rem 1rem 1rem; font-size:1.25rem; color:rgba(0,0,0,0.6); line-height:1.25; }
a { color:#323291; font-weight:300; text-decoration:none; }
b { font-weight:400; color:#000; }
sub { font-size:83.33%; font-weight:300; color:rgba(0,0,0,0.6); }
hr { border-bottom:1px Solid rgba(0,0,0,0.15); }
#simulation { margin:0 auto; width:100%; max-width:1024px; line-height:0; background:#000; position:sticky; top:4rem; flex:none; }
#canvas { width:100%; min-height:100%; }
#overlay { width:100%; height:100%; padding:0.714em 1em; font-size:1.75rem; color:rgba(0,0,0,0); line-height:1.25; background:linear-gradient(rgba(0,0,0,0.8), transparent 25%, transparent 75%, rgba(0,0,0,0.8)); position:absolute; top:0; display:none; }
#mediacontrols { padding:0 1rem; width:100%; height:1.5em; font-size:13.33vmin; text-align:center; position:absolute; bottom:calc(50% - 0.75em); display:none; }
#mediacontrols button { margin:0 0.25em; width:1.5em; height:1.5em; font-size:1em; color:#FFF; background:transparent; cursor:pointer; }
#mediacontrols .right { display:none; }
.visible { display:block !important; }
.popout { transform-origin:top right; transform:scale(0.47); position:sticky !important; top:4rem !important; }
.popout #mediacontrols { font-size:5.32rem; }
.fullscreen #overlay { color:#FFF; }
.fullscreen #mediacontrols { font-size:3.25rem !important; }
#margins { margin:0 auto; max-width:1024px; }
#presets { background-color:rgba(0,0,0,0.15); }
.preset { padding:0.5rem 1rem; width:100%; font-size:1.25rem; font-weight:400; line-height:1.25; display:inline-block; cursor:pointer; }
.preset:nth-child(even) { background:linear-gradient(to right, transparent, transparent 25%, rgba(0,0,0,0.05)); }
.preset img { margin-right:1rem; height:3rem; float:left; }
.active { background:rgba(0,0,0,0.15) !important; }
#controls { padding:1em 0 0 0; }
.collapsible { cursor:pointer; -webkit-tap-highlight-color:rgba(0,0,0,0); }
.collapsible h2::after { margin-top:0.25rem; font-size:1rem; vertical-align:middle; color:transparent; text-shadow:0 0 #000; background:transparent; opacity:0.15; float:right; content:"\25B6"; transform:rotate(-90deg); -webkit-transition:transform 0.1s; transition:transform 0.1s; }
.collapsed { max-height:calc(4rem - 0.25px); overflow:hidden; }
.collapsed h2::after { transform:rotate(90deg); }
.right { float:right; }
.degrees::after { content:"°"; }
.percent::after { content:"%"; }
.fps::after { margin-left:0.05rem; font-size:83.33%; content:"fps"; }
.slider { margin-top:-1rem; width:100%; display:flex; }
.slider button { margin:-0.125rem 0; height:3rem; width:3rem; font-size:1rem; color:transparent; text-shadow:0 0 #000; background:transparent; opacity:0.15; cursor:pointer; flex:none; }
input[type=range] { margin:0.875rem 0; width:100%; height:1rem; cursor:pointer; pointer-events:none; }
input[type=range]::-webkit-slider-thumb { pointer-events:auto; }
input[type=range]::-moz-range-thumb { pointer-events:auto; }
input[type=range]::-ms-thumb { pointer-events:auto; }
.buttons { padding:0 0.5rem; display:flex; }
input[type=button] { margin:0rem 0.5rem 1rem 0.5rem; width:100%; height:2.5rem; font-size:1rem; font-weight:300; color:rgba(0,0,0,0.6); background:rgba(0,0,0,0.15); cursor:pointer; }
#footer { padding:1.375rem 1rem; width:100%; background:#32322C; font-size:1.25rem; text-align:center; text-shadow:0 0.05rem 0.25rem #000; clear:both; box-shadow: 0 100vh 0 100vh #32322C; }
#footer a { font-weight:300; text-decoration:none; color:#DDD; }
/* CSS media queries -------------------------------------------------------------------------------------------------------------------------------------------------- */
/* Rotate to full screen on mobile devices */
@media screen and (orientation:landscape) and (max-device-width:1024px) {
body { overflow:hidden; }
#title, #settings { display:none; }
#simulation { top:0; }
#canvas { height:100vh; }
#overlay { font-size:20px; color:#FFF; }
#mediacontrols { font-size:16.66vmin; }
#mediacontrols button { margin:0 calc(13vw - 13vh); }
}
/* Display two columns on tablets and desktops */
@media screen and (orientation:portrait) and (min-width:415px) and (max-device-width:768px), screen and (min-width:686px) {
html { font-size:1.8vw; }
#presets { width:47%; float:right; max-height:unset !important; cursor:unset; }
#presets h2::after { content:""; }
#controls { width:53%; }
}
/* Unsticky simulation on large tablets and desktops */
@media screen and (min-aspect-ratio:1/1) {
#simulation { position:relative; top:unset; }
}
/* Desktop font sizes */
@media screen and (min-width:360px) and (min-device-width:768px) {
html { font-size:12px; }
.collapsible h2::after { margin-top:0.125rem; font-size:1.25rem; }
.slider button { font-size:1.25rem; }
}
/* Desktop media controls and thumbnail size */
@media screen and (min-width:686px) and (min-device-width:1025px) {
#mediacontrols { font-size:2.5rem; text-align:left; bottom:0; }
#mediacontrols button { margin:0; }
#mediacontrols .right { display:block; }
.preset img { height:4.5rem; }
}
/* Adjust margins for larger screens */
@media screen and (min-width:1050px) {
h2, p, a { padding-left:0; padding-right:1.5rem; }
#presets h2, .preset { padding-left:1.5rem; }
.slider { width:calc(100% + 0.5rem); margin-left:-1rem; }
.buttons { margin-left:-1rem; margin-right:0.5rem; }
}
</style>
</head>
<body onLoad="initialize();" onResize="popOut();">
<h1 id="title"><span onclick="window.location.href=window.location.href.split('?')[0];">Primordial Particle System</span></h1>
<div id="simulation" onclick="playPause();">
<canvas id="canvas"></canvas>
<div id="overlay" class="visible"></div>
<div id="mediacontrols" class="visible"><!--
--><button class="material-icons" onclick="back();">skip_previous</button><!--
--><button class="material-icons" >play_arrow</button><!--
--><button class="material-icons" onclick="next();">skip_next</button><!--
--><button class="material-icons right" onclick="toggleFullScreen();">fullscreen</button>
</div>
</div>
<div id="settings">
<div id="margins">
<div id="presets" class="collapsible collapsed"></div>
<div id="controls">
<p>Based on the Primordial Particle System originally created by Thomas Schmickl and Martin Stefanec at the University of Graz in Austria.</p>
<p><a href="https://www.youtube.com/watch?v=makaJpLvbow" target="youtube">Click here to watch the original YouTube video</a></p>
<div id="speciesparameters"></div>
<div id="experimentalsetup"></div>
<div id="graphicssettings"></div>
</div>
</div>
<div id="footer"><a href="https://github.com/nagualdesign/Primordial-Particle-System" target="github">An open project by nagualdesign</a></div>
</div>
</body>
</html>