ENRICH a text into a simple and compressed BASE92 readable string & DEPLETE it back! Only 53.5 KB, yet it enables you to save up to 45% on any "UTF-8" and "UTF-16le" source text...
DEMO : https://codepen.io/vipertechofficial/pen/JjBXJPR
LZ4 is a very fast (Truly, trust me.) compression algorithm but when it comes to the idea of compressing a very complex string you probably don't want to get a strange and unreadable text which you may even not be able to save it inside a bracket in JavaScript because it could be using insane characters!
But look, why would someone with the proper tools beside of him just throw -25% of size inside getting to use an encoding in Base64 if it is to embded it inside JSON or a STRING which can truly handle more likely 92 characters without hurting itself into parsing or readability issues!
So, while you might get up to 45% lighter source file for web worker function, you might also be able to embded them directly inside your JS text file and load them quite fast! Or one may be using it to save translation file more kindly inside a .js ...
import UraniumJS from "./UraniumJS"; // In node.js
/* OR */
var UraniumJS = window.UraniumJS; // Use the minified version for browser (> safari 10 & > Chrome 51)
/* STEP 1 --INPUT-- */
var text = `var t = function(base64) {
"use strict";
return new Promise(function(resolve, reject) {
var img = new Image();
var is_png = base64.startsWith("data:image/png;");
img.onload = function() {
var canvas = document.createElement("canvas");
canvas.width = img.naturalWidth || img.width;
canvas.height = img.naturalHeight || img.height;
var ctx = canvas.getContext("2d");
ctx.drawImage(img, 0, 0, canvas.width, canvas.height);
resolve(canvas.toDataURL(is_png ? "image/png": "image/jpeg"));
};
img.onerror = function() { reject(); };
img.src = base64;
});
}; return t;`;
/* STEP 2 --PROCESSING-- */
var enriched = UraniumJS.enrichString(text); // 0-45% Lighter in average, in this case it is only 16% lighter because the source text is already small
// RAW -> #K;tD,5o{w!c!)O0.,jkiP6H#A8jY@JMJx2~cw3=*0j2SX;_M=!&#?!§g:uXoG#:Jy=.Sr24.T~C7S0HJ6_Dn25C¡HjBiBP:I2^tk<V)qjtW,§1@I2T5V<§c~MmnA8[&!!¡L!!4 #jm~AV!_6F§¡~9a.KY>8?d!§,u¡nk9cirQ!!Zc¡ #mkWl_d.;%_MBf8yBF<vQ§3* VHa,MMIHmtDIV,e%bm~AVJYHnSuP{Eb!2{Z!%*J!BO#!fO2!:htB5azJN¡aOU5W5KoxB5ZiD{<zQ§3l@Pj(O¡U)BF:!!&aX!!MY!2ccTbkh 66LOdL},L#HHm2Cn23-hI~C¡xs.)%!&O##4_t§)O%P0E^1kZs!2Ja!&UAZ:#.O#%!!![Y!!H@!vJz#Gx|8a§W!;oI[!I2k[Vc6HQ%:&Wq8PJ8T<d96,*8jfA(<QF;PHfRO#4<!!F^!61VfQ%JO#K-!c1U!%j%.*ZS!-~lq9*U[@@!;pZom¡)~NF*+)3!H^>R~¡ ¡ mq*v6c.#0e!-8,wF!a!%r}Hm_<ixd1_v#Sfb!6!dEr!S6=~I8_;?Z<!l8QRPV9aX{(r](PHe§+v2!!!!!!
var depleted = UraniumJS.stringDeplete("#K;tD,5o{w!c!)O0.,jkiP6H#A8jY@JMJx2~cw3=*0j2SX;_M=!&#?!§g:uXoG#:Jy=.Sr24.T~C7S0HJ6_Dn25C¡HjBiBP:I2^tk<V)qjtW,§1@I2T5V<§c~MmnA8[&!!¡L!!4 #jm~AV!_6F§¡~9a.KY>8?d!§,u¡nk9cirQ!!Zc¡ #mkWl_d.;%_MBf8yBF<vQ§3* VHa,MMIHmtDIV,e%bm~AVJYHnSuP{Eb!2{Z!%*J!BO#!fO2!:htB5azJN¡aOU5W5KoxB5ZiD{<zQ§3l@Pj(O¡U)BF:!!&aX!!MY!2ccTbkh 66LOdL},L#HHm2Cn23-hI~C¡xs.)%!&O##4_t§)O%P0E^1kZs!2Ja!&UAZ:#.O#%!!![Y!!H@!vJz#Gx|8a§W!;oI[!I2k[Vc6HQ%:&Wq8PJ8T<d96,*8jfA(<QF;PHfRO#4<!!F^!61VfQ%JO#K-!c1U!%j%.*ZS!-~lq9*U[@@!;pZom¡)~NF*+)3!H^>R~¡ ¡ mq*v6c.#0e!-8,wF!a!%r}Hm_<ixd1_v#Sfb!6!dEr!S6=~I8_;?Z<!l8QRPV9aX{(r](PHe§+v2!!!!!!"); // AS ORIGINAL
// RAW -> var t = function(base64) { "use strict"; return new Promise(function(resolve, reject) { var img = new Image(); var is_png = base64.startsWith("data:image/png;"); img.onload = function() { var canvas = document.createElement("canvas"); canvas.width = img.naturalWidth || img.width; canvas.height = img.naturalHeight || img.height; var ctx = canvas.getContext("2d"); ctx.drawImage(img, 0, 0, canvas.width, canvas.height); resolve(canvas.toDataURL(is_png ? "image/png": "image/jpeg")); }; img.onerror = function() { reject(); }; img.src = base64; }); }; return t;/* STEP 3 --EVAL-- (optional) */
var AsyncFunctionConstructor = Object.getPrototypeOf(async function(){}).constructor;
var FunctionConstructor = Object.getPrototypeOf(function(){}).constructor;
var sanitizeInlineImageFunction = new FunctionConstructor(depleted);
sanitizeInlineImageFunction("data:image/png;base64,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")
.then(function(result){ console.log(result); })