1.26.0

release/assets/image-processor-Dj3-kZwI.js

@@ -1 +0,0 @@
-!function(){"use strict";var t=["0","1","2","3","4","5","6","7","8","9","A","B","C","D","E","F","G","H","I","J","K","L","M","N","O","P","Q","R","S","T","U","V","W","X","Y","Z","a","b","c","d","e","f","g","h","i","j","k","l","m","n","o","p","q","r","s","t","u","v","w","x","y","z","#","$","%","*","+",",","-",".",":",";","=","?","@","[","]","^","_","{","|","}","~"],e=(e,a)=>{var o="";for(let r=1;r<=a;r++){let h=Math.floor(e)/Math.pow(83,a-r)%83;o+=t[Math.floor(h)]}return o},a=t=>{let e=t/255;return e<=.04045?e/12.92:Math.pow((e+.055)/1.055,2.4)},o=t=>{let e=Math.max(0,Math.min(1,t));return e<=.0031308?Math.trunc(12.92*e*255+.5):Math.trunc(255*(1.055*Math.pow(e,.4166666666666667)-.055)+.5)},r=(t,e)=>(t=>t<0?-1:1)(t)*Math.pow(Math.abs(t),e),h=class extends Error{constructor(t){super(t),this.name="ValidationError",this.message=t}},i=(t,e,o,r)=>{let h=0,i=0,n=0,s=4*e;for(let g=0;g<e;g++){let e=4*g;for(let l=0;l<o;l++){let o=e+l*s,c=r(g,l);h+=c*a(t[o]),i+=c*a(t[o+1]),n+=c*a(t[o+2])}}let l=1/(e*o);return[h*l,i*l,n*l]};self.onmessage=async t=>{if("PROCESS_IMAGE"!==t.data?.type)return;const{id:a,file:n,targetWidth:s,targetHeight:l,quality:g,computeBlurhash:c}=t.data;try{let t,M;try{const e=await createImageBitmap(n,{resizeWidth:s,resizeHeight:l,resizeQuality:"high"});if(t=new OffscreenCanvas(s,l),M=t.getContext("2d"),!M)throw new Error("Failed to get 2d context from OffscreenCanvas");M.drawImage(e,0,0,s,l),e.close()}catch(f){console.warn("Hardware resize failed, falling back to stepped software scaling:",f);const e=await n.arrayBuffer(),a=new Blob([e],{type:n.type}),o=await createImageBitmap(a);let r=o.width,h=o.height,i=new OffscreenCanvas(r,h),g=i.getContext("2d");for(g.imageSmoothingEnabled=!0,g.imageSmoothingQuality="high",g.drawImage(o,0,0);.5*i.width>s&&.5*i.height>l;){const t=new OffscreenCanvas(Math.floor(.5*i.width),Math.floor(.5*i.height)),e=t.getContext("2d");e.imageSmoothingEnabled=!0,e.imageSmoothingQuality="high",e.drawImage(i,0,0,t.width,t.height),i=t}t=new OffscreenCanvas(s,l),M=t.getContext("2d"),M.imageSmoothingEnabled=!0,M.imageSmoothingQuality="high",M.drawImage(i,0,0,s,l),o.close()}let d=null;if(c)try{d=((t,a,n)=>{if(a*n*4!==t.length)throw new h("Width and height must match the pixels array");let s=[];for(let e=0;e<3;e++)for(let o=0;o<4;o++){let r=0==o&&0==e?1:2,h=i(t,a,n,(t,h)=>r*Math.cos(Math.PI*o*t/a)*Math.cos(Math.PI*e*h/n));s.push(h)}let l,g=s[0],c=s.slice(1),f="";if(f+=e(21,1),c.length>0){let t=Math.max(...c.map(t=>Math.max(...t))),a=Math.floor(Math.max(0,Math.min(82,Math.floor(166*t-.5))));l=(a+1)/166,f+=e(a,1)}else l=1,f+=e(0,1);return f+=e((t=>(o(t[0])<<16)+(o(t[1])<<8)+o(t[2]))(g),4),c.forEach(t=>{f+=e(((t,e)=>19*Math.floor(Math.max(0,Math.min(18,Math.floor(9*r(t[0]/e,.5)+9.5))))*19+19*Math.floor(Math.max(0,Math.min(18,Math.floor(9*r(t[1]/e,.5)+9.5))))+Math.floor(Math.max(0,Math.min(18,Math.floor(9*r(t[2]/e,.5)+9.5)))))(t,l),2)}),f})(M.getImageData(0,0,s,l).data,s,l)}catch(m){console.warn("Could not generate blurhash (possible canvas fingerprinting protection):",m)}const u=await t.convertToBlob({type:"image/jpeg",quality:g}),w=`${s}x${l}`;self.postMessage({id:a,success:!0,blob:u,dim:w,blurhash:d})}catch(M){self.postMessage({id:a,success:!1,error:M.message})}}}();

release/assets/image-processor-TE4QOxly.js

@@ -0,0 +1,182 @@
+var q = [
+	"0",
+	"1",
+	"2",
+	"3",
+	"4",
+	"5",
+	"6",
+	"7",
+	"8",
+	"9",
+	"A",
+	"B",
+	"C",
+	"D",
+	"E",
+	"F",
+	"G",
+	"H",
+	"I",
+	"J",
+	"K",
+	"L",
+	"M",
+	"N",
+	"O",
+	"P",
+	"Q",
+	"R",
+	"S",
+	"T",
+	"U",
+	"V",
+	"W",
+	"X",
+	"Y",
+	"Z",
+	"a",
+	"b",
+	"c",
+	"d",
+	"e",
+	"f",
+	"g",
+	"h",
+	"i",
+	"j",
+	"k",
+	"l",
+	"m",
+	"n",
+	"o",
+	"p",
+	"q",
+	"r",
+	"s",
+	"t",
+	"u",
+	"v",
+	"w",
+	"x",
+	"y",
+	"z",
+	"#",
+	"$",
+	"%",
+	"*",
+	"+",
+	",",
+	"-",
+	".",
+	":",
+	";",
+	"=",
+	"?",
+	"@",
+	"[",
+	"]",
+	"^",
+	"_",
+	"{",
+	"|",
+	"}",
+	"~"
+], p = (t, e) => {
+	var a = "";
+	for (let o = 1; o <= e; o++) {
+		let h = Math.floor(t) / Math.pow(83, e - o) % 83;
+		a += q[Math.floor(h)];
+	}
+	return a;
+}, f = (t) => {
+	let e = t / 255;
+	return e <= .04045 ? e / 12.92 : Math.pow((e + .055) / 1.055, 2.4);
+}, h = (t) => {
+	let e = Math.max(0, Math.min(1, t));
+	return e <= .0031308 ? Math.trunc(12.92 * e * 255 + .5) : Math.trunc(255 * (1.055 * Math.pow(e, .4166666666666667) - .055) + .5);
+}, M = (t, e) => ((t) => t < 0 ? -1 : 1)(t) * Math.pow(Math.abs(t), e), d = class extends Error {
+	constructor(t) {
+		super(t), this.name = "ValidationError", this.message = t;
+	}
+}, D = (t, e, a, o) => {
+	let h = 0, r = 0, n = 0, i = 4 * e;
+	for (let l = 0; l < e; l++) {
+		let e = 4 * l;
+		for (let s = 0; s < a; s++) {
+			let a = e + s * i, g = o(l, s);
+			h += g * f(t[a]), r += g * f(t[a + 1]), n += g * f(t[a + 2]);
+		}
+	}
+	let s = 1 / (e * a);
+	return [
+		h * s,
+		r * s,
+		n * s
+	];
+}, S = (t, e, a, o, r) => {
+	if (o < 1 || o > 9 || r < 1 || r > 9) throw new d("BlurHash must have between 1 and 9 components");
+	if (e * a * 4 !== t.length) throw new d("Width and height must match the pixels array");
+	let n = [];
+	for (let h = 0; h < r; h++) for (let r = 0; r < o; r++) {
+		let o = 0 == r && 0 == h ? 1 : 2, i = D(t, e, a, (t, n) => o * Math.cos(Math.PI * r * t / e) * Math.cos(Math.PI * h * n / a));
+		n.push(i);
+	}
+	let i, s = n[0], l = n.slice(1), g = "";
+	if (g += p(o - 1 + 9 * (r - 1), 1), l.length > 0) {
+		let t = Math.max(...l.map((t) => Math.max(...t))), e = Math.floor(Math.max(0, Math.min(82, Math.floor(166 * t - .5))));
+		i = (e + 1) / 166, g += p(e, 1);
+	} else i = 1, g += p(0, 1);
+	return g += p(((t) => (h(t[0]) << 16) + (h(t[1]) << 8) + h(t[2]))(s), 4), l.forEach((t) => {
+		g += p(((t, e) => 19 * Math.floor(Math.max(0, Math.min(18, Math.floor(9 * M(t[0] / e, .5) + 9.5)))) * 19 + 19 * Math.floor(Math.max(0, Math.min(18, Math.floor(9 * M(t[1] / e, .5) + 9.5)))) + Math.floor(Math.max(0, Math.min(18, Math.floor(9 * M(t[2] / e, .5) + 9.5)))))(t, i), 2);
+	}), g;
+};
+self.onmessage = async (t) => {
+	if ("PROCESS_IMAGE" !== t.data?.type) return;
+	const { id: e, file: a, targetWidth: o, targetHeight: h, quality: r, computeBlurhash: n } = t.data;
+	try {
+		let t, l;
+		try {
+			const e = await createImageBitmap(a, {
+				resizeWidth: o,
+				resizeHeight: h,
+				resizeQuality: "high"
+			});
+			if (t = new OffscreenCanvas(o, h), l = t.getContext("2d"), !l) throw new Error("Failed to get 2d context from OffscreenCanvas");
+			l.drawImage(e, 0, 0, o, h), e.close();
+		} catch (i) {
+			console.warn("Hardware resize failed, falling back to stepped software scaling:", i);
+			const e = await a.arrayBuffer(), r = new Blob([e], { type: a.type }), n = await createImageBitmap(r);
+			let s = n.width, g = n.height, f = new OffscreenCanvas(s, g), c = f.getContext("2d");
+			for (c.imageSmoothingEnabled = !0, c.imageSmoothingQuality = "high", c.drawImage(n, 0, 0); .5 * f.width > o && .5 * f.height > h;) {
+				const t = new OffscreenCanvas(Math.floor(.5 * f.width), Math.floor(.5 * f.height)), e = t.getContext("2d");
+				e.imageSmoothingEnabled = !0, e.imageSmoothingQuality = "high", e.drawImage(f, 0, 0, t.width, t.height), f = t;
+			}
+			t = new OffscreenCanvas(o, h), l = t.getContext("2d"), l.imageSmoothingEnabled = !0, l.imageSmoothingQuality = "high", l.drawImage(f, 0, 0, o, h), n.close();
+		}
+		let g = null;
+		if (n) try {
+			const t = l.getImageData(0, 0, o, h);
+			g = S(t.data, o, h, 4, 3);
+		} catch (s) {
+			console.warn("Could not generate blurhash (possible canvas fingerprinting protection):", s);
+		}
+		const f = await t.convertToBlob({
+			type: "image/jpeg",
+			quality: r
+		}), c = `${o}x${h}`;
+		self.postMessage({
+			id: e,
+			success: !0,
+			blob: f,
+			dim: c,
+			blurhash: g
+		});
+	} catch (l) {
+		self.postMessage({
+			id: e,
+			success: !1,
+			error: l.message
+		});
+	}
+};