{"id":21294,"artifact_id":20286,"version":1,"data":{"version":1,"artifact":{"chain":"tezos","title":"entropy lock pick","artist":"tz1St3n29AbYXZXV8W1BG41qYzz86J2CFAW7","tokenId":"752033","description":"Inspiration:\n\nI had the opportunity to flip @Aebrer's BE NOT AFRAID https://teia.art/objkt/750984\n\nI wanted to keep two core features from the original tweetcart; Entropy Locking (randomly reducing the entropy of a generative space using srand()) and using screen data as a sprite-sheet. BE NOT AFRAID strictly paired these two features, pushing screen contents via sspr(), as srand() reset the entropy for a given generation. So I chose to uncouple these commands on a regular interval. Hence the title, \"entropy lock pick.\"\n\nWhat is a Tweetcart Relay?:\n\nWe receive a tweetcart as a 1/1 from a friend, and we modify it to make our own tweetcart, which we then send to someone else, to continue the process. Eventually it's our hope to have many relay chains going on with many people, anyone at all who likes to make tweetcarts or wants to learn how :)\n\nSuggested Relay Guidelines from myself:\n-> Copy the prior tweetcart 1:1, and tweak the cart while keeping some part of the original program until you've left your aesthetic changes however robust, and pass it on\n\nor\n\n-> Copy just a portion of the cart and build new, before passing on the tweet\n\nRelay Information:\n-> inspiration tweetcart: https://teia.art/objkt/750984\n-> inspiration tweetcart author: @Aebrer; tz1ZBMhTa7gxSpaeXoqyc6bTCrxEHfZYSpPt;\n-> destination tweetcart author: @CarsonKompon; tz1XqJ9e6NdouxdGvm2V3aknwFnGL6Kinu6A\n\nPico-8 Source Code:\n-> 128 Tokens, 275 Characters;\n```\n?\"\\^!5f107?β—†πŸ…ΎοΈ>8β˜‰μ›ƒ9:β™₯βŒ‚;⬅️<β™ͺ\"\nr,p,q=rnd,srand,poke\ns=r(-1)\np(s)\nf=0\nq(0x5f54,0x60)\nq(24364,5)\ncls(r(16))\n::_::\nfor i=0,16do x,y=r(65),r(128)?\"\\22\",x,y,pget(x,y)+1\nend\nif(r()>.96and f<4)f+=1p(s)sspr(r(3),r(3),122,122,0,0,128,128)\nif(f>=4)f=0s=r(-1)p(s)\nflip()goto _\n```\n\nExplanation:\n\n```\n-- using @2dArray's excellent Palette-Maker \n-- https://www.lexaloffle.com/bbs/?pid=68190\n?\"\\^!5f107?β—†πŸ…ΎοΈ>8β˜‰μ›ƒ9:β™₯βŒ‚;⬅️<β™ͺ\"\n\n-- store keywords to save chars later on\n-- srand resets the random seed\n-- poke will let us adjust Pico-8 Memory values\nr,p,q=rnd,srand,poke\n\n-- get and assign random seed value\ns=r(-1)\np(s)\n\n-- f will be an incrementing value from 0-4\n-- helping us 'pick the entropy lock' by getting a new seed value\nf=0\n\n-- set the screen memory as the spritesheet with poke()\nq(0x5f54,0x60)\n-- mirror the screen from left to right\nq(24364,5)\n-- assign a random start color\ncls(r(16))\n\n-- label for GOTO statement\n::_::\n\n-- every frame, place 16 triangles down on the left side of the screen\n-- ?\"\\n\" is shorthand for print a given P8SCII code. 22 is a triangle\n-- print the color of the given x,y coord + 1, so we increment through\n-- the entire palette and back again \nfor i=0,16 do \n x,y=r(65),r(128)\n ?\"\\22\",x,y,pget(x,y)+1\nend\n\n-- if random value is high enough lock entropy by reset seed, and randomly feed-forward expand a part of the display\nif(r()>.96and f<4)f+=1p(s)sspr(r(3),r(3),122,122,0,0,128,128)\n-- every 4 locks, reset to a new seed value\nif(f>=4)f=0s=r(-1)p(s)\n\n-- animate at a \"smooth\" 30fps\nflip()\n-- consider Dijkstra harmful? #goto4life\ngoto _\n```\n\nTo Friends and Creators:\nWant to change the code, or make a relay Tweetcart of yourself based on this one? No problem! You can find the official education edition of the Pico-8 here, for free, usable in the browser, thanks to the Pico-8 Creators lexaloffle & co: https://www.pico-8-edu.com/ . Simply press escape to get to the code editor, copy and paste the source code here into there, and press ctrl+r to run the pico8. \n\nFind me on Twitter @Alexthescott, and I encourage you to join our Neoretro Creative Coding Discord to learn together. Send myself or @aebrer a DM, and we'd be happy to send you an invitation","contractAddress":"KT1RJ6PbjHpwc3M5rw5s2Nbmefwbuwbdxton"},"snapshot":{"net":[{"data":{"url":"https://ipfs.arkivo.art/ipfs/QmP29wsUoZE4pCyWHtKmvY4Ent1TJBT1dVev5dPbaCAbLH?creator=tz1St3n29AbYXZXV8W1BG41qYzz86J2CFAW7&viewer=&objkt=752033","host":"ipfs.arkivo.art","path":"/ipfs/QmP29wsUoZE4pCyWHtKmvY4Ent1TJBT1dVev5dPbaCAbLH","type":"http","query":"?creator=tz1St3n29AbYXZXV8W1BG41qYzz86J2CFAW7&viewer=&objkt=752033","method":"GET","headers":{"sec-ch-ua":"\"HeadlessChrome\";v=\"119\", \"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"","user-agent":"Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) HeadlessChrome/119.0.6045.9 Safari/537.36","sec-ch-ua-mobile":"?0","sec-ch-ua-platform":"\"Linux\"","upgrade-insecure-requests":"1"},"fragment":"","postData":null,"protocol":"https:"},"type":1,"external":false,"timestamp":1723934921677},{"data":{"url":"https://ipfs.arkivo.art/ipfs/QmP29wsUoZE4pCyWHtKmvY4Ent1TJBT1dVev5dPbaCAbLH?creator=tz1St3n29AbYXZXV8W1BG41qYzz86J2CFAW7&viewer=&objkt=752033","body":"","status":301,"headers":{"date":"Sat, 17 Aug 2024 22:48:41 GMT","server":"nginx/1.27.0","location":"/ipfs/QmP29wsUoZE4pCyWHtKmvY4Ent1TJBT1dVev5dPbaCAbLH/?creator=tz1St3n29AbYXZXV8W1BG41qYzz86J2CFAW7&viewer=&objkt=752033","connection":"keep-alive","x-ipfs-path":"/ipfs/QmP29wsUoZE4pCyWHtKmvY4Ent1TJBT1dVev5dPbaCAbLH","content-type":"text/html; charset=utf-8","x-ipfs-roots":"QmP29wsUoZE4pCyWHtKmvY4Ent1TJBT1dVev5dPbaCAbLH","content-length":"162","access-control-allow-origin":"*","access-control-allow-headers":"Content-Type\nRange\nUser-Agent\nX-Requested-With","access-control-allow-methods":"GET\nHEAD\nOPTIONS","access-control-expose-headers":"Content-Length\nContent-Range\nX-Chunked-Output\nX-Ipfs-Path\nX-Ipfs-Roots\nX-Stream-Output"}},"type":2,"external":false,"timestamp":1723934921706},{"data":{"url":"https://ipfs.arkivo.art/ipfs/QmP29wsUoZE4pCyWHtKmvY4Ent1TJBT1dVev5dPbaCAbLH/?creator=tz1St3n29AbYXZXV8W1BG41qYzz86J2CFAW7&viewer=&objkt=752033","host":"ipfs.arkivo.art","path":"/ipfs/QmP29wsUoZE4pCyWHtKmvY4Ent1TJBT1dVev5dPbaCAbLH/","type":"http","query":"?creator=tz1St3n29AbYXZXV8W1BG41qYzz86J2CFAW7&viewer=&objkt=752033","method":"GET","headers":{"sec-ch-ua":"\"HeadlessChrome\";v=\"119\", \"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"","user-agent":"Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) HeadlessChrome/119.0.6045.9 Safari/537.36","sec-ch-ua-mobile":"?0","sec-ch-ua-platform":"\"Linux\"","upgrade-insecure-requests":"1"},"fragment":"","postData":null,"protocol":"https:"},"type":1,"external":false,"timestamp":1723934921706},{"data":{"url":"https://ipfs.arkivo.art/ipfs/QmP29wsUoZE4pCyWHtKmvY4Ent1TJBT1dVev5dPbaCAbLH/?creator=tz1St3n29AbYXZXV8W1BG41qYzz86J2CFAW7&viewer=&objkt=752033","body":"","status":200,"headers":{"date":"Sat, 17 Aug 2024 22:48:41 GMT","etag":"\"QmP29wsUoZE4pCyWHtKmvY4Ent1TJBT1dVev5dPbaCAbLH\"","server":"nginx/1.27.0","connection":"keep-alive","x-ipfs-path":"/ipfs/QmP29wsUoZE4pCyWHtKmvY4Ent1TJBT1dVev5dPbaCAbLH/","content-type":"text/html","x-ipfs-roots":"QmP29wsUoZE4pCyWHtKmvY4Ent1TJBT1dVev5dPbaCAbLH","accept-ranges":"bytes","cache-control":"public, max-age=29030400, immutable","content-length":"5855","access-control-allow-origin":"*","access-control-allow-headers":"Content-Type\nRange\nUser-Agent\nX-Requested-With","access-control-allow-methods":"GET\nHEAD\nOPTIONS","access-control-expose-headers":"Content-Length\nContent-Range\nX-Chunked-Output\nX-Ipfs-Path\nX-Ipfs-Roots\nX-Stream-Output"}},"type":2,"external":false,"timestamp":1723934921716},{"data":{"url":"https://ipfs.arkivo.art/ipfs/QmP29wsUoZE4pCyWHtKmvY4Ent1TJBT1dVev5dPbaCAbLH/entropy_lock_pick.js","host":"ipfs.arkivo.art","path":"/ipfs/QmP29wsUoZE4pCyWHtKmvY4Ent1TJBT1dVev5dPbaCAbLH/entropy_lock_pick.js","type":"http","query":"","method":"GET","headers":{"referer":"https://ipfs.arkivo.art/ipfs/QmP29wsUoZE4pCyWHtKmvY4Ent1TJBT1dVev5dPbaCAbLH/?creator=tz1St3n29AbYXZXV8W1BG41qYzz86J2CFAW7&viewer=&objkt=752033","sec-ch-ua":"\"HeadlessChrome\";v=\"119\", \"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"","user-agent":"Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) HeadlessChrome/119.0.6045.9 Safari/537.36","sec-ch-ua-mobile":"?0","sec-ch-ua-platform":"\"Linux\""},"fragment":"","postData":null,"protocol":"https:"},"type":1,"external":false,"timestamp":1723934921754},{"data":{"url":"https://ipfs.arkivo.art/ipfs/QmP29wsUoZE4pCyWHtKmvY4Ent1TJBT1dVev5dPbaCAbLH/entropy_lock_pick.js","body":"","status":200,"headers":{"date":"Sat, 17 Aug 2024 22:48:41 GMT","etag":"\"QmcAgZPT5LGY6b8nZAmQ8HfzFtmJae7QSE8yJKuvFyPBXE\"","server":"nginx/1.27.0","connection":"keep-alive","x-ipfs-path":"/ipfs/QmP29wsUoZE4pCyWHtKmvY4Ent1TJBT1dVev5dPbaCAbLH/entropy_lock_pick.js","content-type":"text/javascript; charset=utf-8","x-ipfs-roots":"QmP29wsUoZE4pCyWHtKmvY4Ent1TJBT1dVev5dPbaCAbLH,QmcAgZPT5LGY6b8nZAmQ8HfzFtmJae7QSE8yJKuvFyPBXE","accept-ranges":"bytes","cache-control":"public, max-age=29030400, immutable","content-length":"1605506","access-control-allow-origin":"*","access-control-allow-headers":"Content-Type, Range, User-Agent, X-Requested-With","access-control-allow-methods":"GET, HEAD, OPTIONS","access-control-expose-headers":"Content-Length, Content-Range, X-Chunked-Output, X-Ipfs-Path, X-Ipfs-Roots, X-Stream-Output"}},"type":2,"external":false,"timestamp":1723934921780}],"browser":{"name":"chromium","version":"119.0.6045.9"},"viewport":{"width":2000,"height":2000},"screenshot":"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","consoleMessages":[{"text":"Unrecognized Content-Security-Policy directive 'prefetch-src'.","level":"error","timestamp":1723934921752},{"text":"[codo] >codo_init","level":"log","timestamp":1723934922602},{"text":"[codo] platform: Emscripten","level":"log","timestamp":1723934922602},{"text":"[codo] codo_system_init","level":"log","timestamp":1723934922602},{"text":"[codo] codo_reset_timer","level":"log","timestamp":1723934922602},{"text":"[codo] codo_gui_init","level":"log","timestamp":1723934922603},{"text":"[codo] codo_keys_init","level":"log","timestamp":1723934922603},{"text":"[codo] codo_text_init","level":"log","timestamp":1723934922603},{"text":"[codo] codo_video_init","level":"log","timestamp":1723934922603},{"text":"[codo] codo_mouse_init","level":"log","timestamp":1723934922604},{"text":"[codo] codo_joystick_init","level":"log","timestamp":1723934922604},{"text":"[codo]