- // ==UserScript==
- // @name Greasy Animation
- // @namespace https://greasyfork.org/users/281093
- // @match https://sketchful.io/
- // @grant none
- // @version 0.3
- // @author Bell
- // @license MIT
- // @copyright 2020, Bell (https://openuserjs.org/users/Bell)
- // @description Animation tools for Sketchful.io
- // ==/UserScript==
- /* jshint esversion: 6 */
-
- // Libraries
- LZWEncoder = function() {
-
- var exports = {};
- var EOF = -1;
- var imgW;
- var imgH;
- var pixAry;
- var initCodeSize;
- var remaining;
- var curPixel;
-
- // GIFCOMPR.C - GIF Image compression routines
- // Lempel-Ziv compression based on 'compress'. GIF modifications by
- // David Rowley (mgardi@watdcsu.waterloo.edu)
- // General DEFINEs
-
- var BITS = 12;
- var HSIZE = 5003; // 80% occupancy
-
- // GIF Image compression - modified 'compress'
- // Based on: compress.c - File compression ala IEEE Computer, June 1984.
- // By Authors: Spencer W. Thomas (decvax!harpo!utah-cs!utah-gr!thomas)
- // Jim McKie (decvax!mcvax!jim)
- // Steve Davies (decvax!vax135!petsd!peora!srd)
- // Ken Turkowski (decvax!decwrl!turtlevax!ken)
- // James A. Woods (decvax!ihnp4!ames!jaw)
- // Joe Orost (decvax!vax135!petsd!joe)
-
- var n_bits; // number of bits/code
- var maxbits = BITS; // user settable max # bits/code
- var maxcode; // maximum code, given n_bits
- var maxmaxcode = 1 << BITS; // should NEVER generate this code
- var htab = [];
- var codetab = [];
- var hsize = HSIZE; // for dynamic table sizing
- var free_ent = 0; // first unused entry
-
- // block compression parameters -- after all codes are used up,
- // and compression rate changes, start over.
-
- var clear_flg = false;
-
- // Algorithm: use open addressing double hashing (no chaining) on the
- // prefix code / next character combination. We do a variant of Knuth's
- // algorithm D (vol. 3, sec. 6.4) along with G. Knott's relatively-prime
- // secondary probe. Here, the modular division first probe is gives way
- // to a faster exclusive-or manipulation. Also do block compression with
- // an adaptive reset, whereby the code table is cleared when the compression
- // ratio decreases, but after the table fills. The variable-length output
- // codes are re-sized at this point, and a special CLEAR code is generated
- // for the decompressor. Late addition: construct the table according to
- // file size for noticeable speed improvement on small files. Please direct
- // questions about this implementation to ames!jaw.
-
- var g_init_bits;
- var ClearCode;
- var EOFCode;
-
- // output
- // Output the given code.
- // Inputs:
- // code: A n_bits-bit integer. If == -1, then EOF. This assumes
- // that n_bits =< wordsize - 1.
- // Outputs:
- // Outputs code to the file.
- // Assumptions:
- // Chars are 8 bits long.
- // Algorithm:
- // Maintain a BITS character long buffer (so that 8 codes will
- // fit in it exactly). Use the VAX insv instruction to insert each
- // code in turn. When the buffer fills up empty it and start over.
-
- var cur_accum = 0;
- var cur_bits = 0;
- var masks = [0x0000, 0x0001, 0x0003, 0x0007, 0x000F, 0x001F, 0x003F, 0x007F, 0x00FF, 0x01FF, 0x03FF, 0x07FF, 0x0FFF, 0x1FFF, 0x3FFF, 0x7FFF, 0xFFFF];
-
- // Number of characters so far in this 'packet'
- var a_count;
-
- // Define the storage for the packet accumulator
- var accum = [];
-
- var LZWEncoder = exports.LZWEncoder = function LZWEncoder(width, height, pixels, color_depth) {
- imgW = width;
- imgH = height;
- pixAry = pixels;
- initCodeSize = Math.max(2, color_depth);
- };
-
- // Add a character to the end of the current packet, and if it is 254
- // characters, flush the packet to disk.
- var char_out = function char_out(c, outs) {
- accum[a_count++] = c;
- if (a_count >= 254) flush_char(outs);
- };
-
- // Clear out the hash table
- // table clear for block compress
-
- var cl_block = function cl_block(outs) {
- cl_hash(hsize);
- free_ent = ClearCode + 2;
- clear_flg = true;
- output(ClearCode, outs);
- };
-
- // reset code table
- var cl_hash = function cl_hash(hsize) {
- for (var i = 0; i < hsize; ++i) htab[i] = -1;
- };
-
- var compress = exports.compress = function compress(init_bits, outs) {
-
- var fcode;
- var i; /* = 0 */
- var c;
- var ent;
- var disp;
- var hsize_reg;
- var hshift;
-
- // Set up the globals: g_init_bits - initial number of bits
- g_init_bits = init_bits;
-
- // Set up the necessary values
- clear_flg = false;
- n_bits = g_init_bits;
- maxcode = MAXCODE(n_bits);
-
- ClearCode = 1 << (init_bits - 1);
- EOFCode = ClearCode + 1;
- free_ent = ClearCode + 2;
-
- a_count = 0; // clear packet
-
- ent = nextPixel();
-
- hshift = 0;
- for (fcode = hsize; fcode < 65536; fcode *= 2)
- ++hshift;
- hshift = 8 - hshift; // set hash code range bound
-
- hsize_reg = hsize;
- cl_hash(hsize_reg); // clear hash table
-
- output(ClearCode, outs);
-
- outer_loop: while ((c = nextPixel()) != EOF) {
- fcode = (c << maxbits) + ent;
- i = (c << hshift) ^ ent; // xor hashing
-
- if (htab[i] == fcode) {
- ent = codetab[i];
- continue;
- }
-
- else if (htab[i] >= 0) { // non-empty slot
-
- disp = hsize_reg - i; // secondary hash (after G. Knott)
- if (i === 0) disp = 1;
-
- do {
- if ((i -= disp) < 0)
- i += hsize_reg;
-
- if (htab[i] == fcode) {
- ent = codetab[i];
- continue outer_loop;
- }
- } while (htab[i] >= 0);
- }
-
- output(ent, outs);
- ent = c;
- if (free_ent < maxmaxcode) {
- codetab[i] = free_ent++; // code -> hashtable
- htab[i] = fcode;
- }
- else cl_block(outs);
- }
-
- // Put out the final code.
- output(ent, outs);
- output(EOFCode, outs);
- };
-
- // ----------------------------------------------------------------------------
- var encode = exports.encode = function encode(os) {
- os.writeByte(initCodeSize); // write "initial code size" byte
- remaining = imgW * imgH; // reset navigation variables
- curPixel = 0;
- compress(initCodeSize + 1, os); // compress and write the pixel data
- os.writeByte(0); // write block terminator
- };
-
- // Flush the packet to disk, and reset the accumulator
- var flush_char = function flush_char(outs) {
- if (a_count > 0) {
- outs.writeByte(a_count);
- outs.writeBytes(accum, 0, a_count);
- a_count = 0;
- }
- };
-
- var MAXCODE = function MAXCODE(n_bits) {
- return (1 << n_bits) - 1;
- };
-
- // ----------------------------------------------------------------------------
- // Return the next pixel from the image
- // ----------------------------------------------------------------------------
-
- var nextPixel = function nextPixel() {
- if (remaining === 0) return EOF;
- --remaining;
- var pix = pixAry[curPixel++];
- return pix & 0xff;
- };
-
- var output = function output(code, outs) {
-
- cur_accum &= masks[cur_bits];
-
- if (cur_bits > 0) cur_accum |= (code << cur_bits);
- else cur_accum = code;
-
- cur_bits += n_bits;
-
- while (cur_bits >= 8) {
- char_out((cur_accum & 0xff), outs);
- cur_accum >>= 8;
- cur_bits -= 8;
- }
-
- // If the next entry is going to be too big for the code size,
- // then increase it, if possible.
-
- if (free_ent > maxcode || clear_flg) {
-
- if (clear_flg) {
-
- maxcode = MAXCODE(n_bits = g_init_bits);
- clear_flg = false;
-
- } else {
-
- ++n_bits;
- if (n_bits == maxbits) maxcode = maxmaxcode;
- else maxcode = MAXCODE(n_bits);
- }
- }
-
- if (code == EOFCode) {
-
- // At EOF, write the rest of the buffer.
- while (cur_bits > 0) {
- char_out((cur_accum & 0xff), outs);
- cur_accum >>= 8;
- cur_bits -= 8;
- }
-
- flush_char(outs);
- }
- };
-
- LZWEncoder.apply(this, arguments);
- return exports;
- };
-
- ;/*
- * NeuQuant Neural-Net Quantization Algorithm
- * ------------------------------------------
- *
- * Copyright (c) 1994 Anthony Dekker
- *
- * NEUQUANT Neural-Net quantization algorithm by Anthony Dekker, 1994. See
- * "Kohonen neural networks for optimal colour quantization" in "Network:
- * Computation in Neural Systems" Vol. 5 (1994) pp 351-367. for a discussion of
- * the algorithm.
- *
- * Any party obtaining a copy of these files from the author, directly or
- * indirectly, is granted, free of charge, a full and unrestricted irrevocable,
- * world-wide, paid up, royalty-free, nonexclusive right and license to deal in
- * this software and documentation files (the "Software"), including without
- * limitation the rights to use, copy, modify, merge, publish, distribute,
- * sublicense, and/or sell copies of the Software, and to permit persons who
- * receive copies from any such party to do so, with the only requirement being
- * that this copyright notice remain intact.
- */
-
- /*
- * This class handles Neural-Net quantization algorithm
- * @author Kevin Weiner (original Java version - kweiner@fmsware.com)
- * @author Thibault Imbert (AS3 version - bytearray.org)
- * @author Kevin Kwok (JavaScript version - https://github.com/antimatter15/jsgif)
- * @version 0.1 AS3 implementation
- */
-
- NeuQuant = function() {
-
- var exports = {};
- var netsize = 256; /* number of colours used */
-
- /* four primes near 500 - assume no image has a length so large */
- /* that it is divisible by all four primes */
-
- var prime1 = 499;
- var prime2 = 491;
- var prime3 = 487;
- var prime4 = 503;
- var minpicturebytes = (3 * prime4); /* minimum size for input image */
-
- /*
- * Program Skeleton ---------------- [select samplefac in range 1..30] [read
- * image from input file] pic = (unsigned char*) malloc(3*width*height);
- * initnet(pic,3*width*height,samplefac); learn(); unbiasnet(); [write output
- * image header, using writecolourmap(f)] inxbuild(); write output image using
- * inxsearch(b,g,r)
- */
-
- /*
- * Network Definitions -------------------
- */
-
- var maxnetpos = (netsize - 1);
- var netbiasshift = 4; /* bias for colour values */
- var ncycles = 100; /* no. of learning cycles */
-
- /* defs for freq and bias */
- var intbiasshift = 16; /* bias for fractions */
- var intbias = (1 << intbiasshift);
- var gammashift = 10; /* gamma = 1024 */
- var gamma = (1 << gammashift);
- var betashift = 10;
- var beta = (intbias >> betashift); /* beta = 1/1024 */
- var betagamma = (intbias << (gammashift - betashift));
-
- /* defs for decreasing radius factor */
- var initrad = (netsize >> 3); /* for 256 cols, radius starts */
- var radiusbiasshift = 6; /* at 32.0 biased by 6 bits */
- var radiusbias = (1 << radiusbiasshift);
- var initradius = (initrad * radiusbias); /* and decreases by a */
- var radiusdec = 30; /* factor of 1/30 each cycle */
-
- /* defs for decreasing alpha factor */
- var alphabiasshift = 10; /* alpha starts at 1.0 */
- var initalpha = (1 << alphabiasshift);
- var alphadec; /* biased by 10 bits */
-
- /* radbias and alpharadbias used for radpower calculation */
- var radbiasshift = 8;
- var radbias = (1 << radbiasshift);
- var alpharadbshift = (alphabiasshift + radbiasshift);
- var alpharadbias = (1 << alpharadbshift);
-
- /*
- * Types and Global Variables --------------------------
- */
-
- var thepicture; /* the input image itself */
- var lengthcount; /* lengthcount = H*W*3 */
- var samplefac; /* sampling factor 1..30 */
-
- // typedef int pixel[4]; /* BGRc */
- var network; /* the network itself - [netsize][4] */
- var netindex = [];
-
- /* for network lookup - really 256 */
- var bias = [];
-
- /* bias and freq arrays for learning */
- var freq = [];
- var radpower = [];
-
- var NeuQuant = exports.NeuQuant = function NeuQuant(thepic, len, sample) {
-
- var i;
- var p;
-
- thepicture = thepic;
- lengthcount = len;
- samplefac = sample;
-
- network = new Array(netsize);
-
- for (i = 0; i < netsize; i++) {
-
- network[i] = new Array(4);
- p = network[i];
- p[0] = p[1] = p[2] = (i << (netbiasshift + 8)) / netsize;
- freq[i] = intbias / netsize; /* 1/netsize */
- bias[i] = 0;
- }
- };
-
- var colorMap = function colorMap() {
-
- var map = [];
- var index = new Array(netsize);
-
- for (var i = 0; i < netsize; i++)
- index[network[i][3]] = i;
-
- var k = 0;
- for (var l = 0; l < netsize; l++) {
- var j = index[l];
- map[k++] = (network[j][0]);
- map[k++] = (network[j][1]);
- map[k++] = (network[j][2]);
- }
-
- return map;
- };
-
- /*
- * Insertion sort of network and building of netindex[0..255] (to do after
- * unbias)
- * -------------------------------------------------------------------------------
- */
-
- var inxbuild = function inxbuild() {
-
- var i;
- var j;
- var smallpos;
- var smallval;
- var p;
- var q;
- var previouscol;
- var startpos;
-
- previouscol = 0;
- startpos = 0;
- for (i = 0; i < netsize; i++) {
-
- p = network[i];
- smallpos = i;
- smallval = p[1]; /* index on g */
-
- /* find smallest in i..netsize-1 */
- for (j = i + 1; j < netsize; j++) {
-
- q = network[j];
- if (q[1] < smallval) { /* index on g */
- smallpos = j;
- smallval = q[1]; /* index on g */
- }
- }
- q = network[smallpos];
-
- /* swap p (i) and q (smallpos) entries */
- if (i != smallpos) {
- j = q[0];
- q[0] = p[0];
- p[0] = j;
- j = q[1];
- q[1] = p[1];
- p[1] = j;
- j = q[2];
- q[2] = p[2];
- p[2] = j;
- j = q[3];
- q[3] = p[3];
- p[3] = j;
- }
-
- /* smallval entry is now in position i */
-
- if (smallval != previouscol) {
-
- netindex[previouscol] = (startpos + i) >> 1;
-
- for (j = previouscol + 1; j < smallval; j++) netindex[j] = i;
-
- previouscol = smallval;
- startpos = i;
- }
- }
-
- netindex[previouscol] = (startpos + maxnetpos) >> 1;
- for (j = previouscol + 1; j < 256; j++) netindex[j] = maxnetpos; /* really 256 */
- };
-
- /*
- * Main Learning Loop ------------------
- */
-
- var learn = function learn() {
-
- var i;
- var j;
- var b;
- var g;
- var r;
- var radius;
- var rad;
- var alpha;
- var step;
- var delta;
- var samplepixels;
- var p;
- var pix;
- var lim;
-
- if (lengthcount < minpicturebytes) samplefac = 1;
-
- alphadec = 30 + ((samplefac - 1) / 3);
- p = thepicture;
- pix = 0;
- lim = lengthcount;
- samplepixels = lengthcount / (3 * samplefac);
- delta = (samplepixels / ncycles) | 0;
- alpha = initalpha;
- radius = initradius;
-
- rad = radius >> radiusbiasshift;
- if (rad <= 1) rad = 0;
-
- for (i = 0; i < rad; i++) radpower[i] = alpha * (((rad * rad - i * i) * radbias) / (rad * rad));
-
- if (lengthcount < minpicturebytes) step = 3;
-
- else if ((lengthcount % prime1) !== 0) step = 3 * prime1;
-
- else {
-
- if ((lengthcount % prime2) !== 0) step = 3 * prime2;
- else {
- if ((lengthcount % prime3) !== 0) step = 3 * prime3;
- else step = 3 * prime4;
- }
- }
-
- i = 0;
- while (i < samplepixels) {
-
- b = (p[pix + 0] & 0xff) << netbiasshift;
- g = (p[pix + 1] & 0xff) << netbiasshift;
- r = (p[pix + 2] & 0xff) << netbiasshift;
- j = contest(b, g, r);
-
- altersingle(alpha, j, b, g, r);
- if (rad !== 0) alterneigh(rad, j, b, g, r); /* alter neighbours */
-
- pix += step;
- if (pix >= lim) pix -= lengthcount;
-
- i++;
-
- if (delta === 0) delta = 1;
-
- if (i % delta === 0) {
- alpha -= alpha / alphadec;
- radius -= radius / radiusdec;
- rad = radius >> radiusbiasshift;
-
- if (rad <= 1) rad = 0;
-
- for (j = 0; j < rad; j++) radpower[j] = alpha * (((rad * rad - j * j) * radbias) / (rad * rad));
- }
- }
- };
-
- /*
- ** Search for BGR values 0..255 (after net is unbiased) and return colour
- * index
- * ----------------------------------------------------------------------------
- */
-
- var map = exports.map = function map(b, g, r) {
-
- var i;
- var j;
- var dist;
- var a;
- var bestd;
- var p;
- var best;
-
- bestd = 1000; /* biggest possible dist is 256*3 */
- best = -1;
- i = netindex[g]; /* index on g */
- j = i - 1; /* start at netindex[g] and work outwards */
-
- while ((i < netsize) || (j >= 0)) {
-
- if (i < netsize) {
- p = network[i];
- dist = p[1] - g; /* inx key */
-
- if (dist >= bestd) i = netsize; /* stop iter */
-
- else {
-
- i++;
- if (dist < 0) dist = -dist;
- a = p[0] - b;
- if (a < 0) a = -a;
- dist += a;
-
- if (dist < bestd) {
- a = p[2] - r;
- if (a < 0) a = -a;
- dist += a;
-
- if (dist < bestd) {
- bestd = dist;
- best = p[3];
- }
- }
- }
- }
-
- if (j >= 0) {
-
- p = network[j];
- dist = g - p[1]; /* inx key - reverse dif */
-
- if (dist >= bestd) j = -1; /* stop iter */
-
- else {
-
- j--;
- if (dist < 0) dist = -dist;
- a = p[0] - b;
- if (a < 0) a = -a;
- dist += a;
-
- if (dist < bestd) {
- a = p[2] - r;
- if (a < 0) a = -a;
- dist += a;
- if (dist < bestd) {
- bestd = dist;
- best = p[3];
- }
- }
- }
- }
- }
-
- return (best);
- };
-
- var process = exports.process = function process() {
- learn();
- unbiasnet();
- inxbuild();
- return colorMap();
- };
-
- /*
- * Unbias network to give byte values 0..255 and record position i to prepare
- * for sort
- * -----------------------------------------------------------------------------------
- */
-
- var unbiasnet = function unbiasnet() {
-
- var i;
- var j;
-
- for (i = 0; i < netsize; i++) {
- network[i][0] >>= netbiasshift;
- network[i][1] >>= netbiasshift;
- network[i][2] >>= netbiasshift;
- network[i][3] = i; /* record colour no */
- }
- };
-
- /*
- * Move adjacent neurons by precomputed alpha*(1-((i-j)^2/[r]^2)) in
- * radpower[|i-j|]
- * ---------------------------------------------------------------------------------
- */
-
- var alterneigh = function alterneigh(rad, i, b, g, r) {
-
- var j;
- var k;
- var lo;
- var hi;
- var a;
- var m;
- var p;
-
- lo = i - rad;
- if (lo < -1) lo = -1;
-
- hi = i + rad;
- if (hi > netsize) hi = netsize;
-
- j = i + 1;
- k = i - 1;
- m = 1;
-
- while ((j < hi) || (k > lo)) {
- a = radpower[m++];
-
- if (j < hi) {
- p = network[j++];
-
- try {
- p[0] -= (a * (p[0] - b)) / alpharadbias;
- p[1] -= (a * (p[1] - g)) / alpharadbias;
- p[2] -= (a * (p[2] - r)) / alpharadbias;
- } catch (e) {} // prevents 1.3 miscompilation
- }
-
- if (k > lo) {
- p = network[k--];
-
- try {
- p[0] -= (a * (p[0] - b)) / alpharadbias;
- p[1] -= (a * (p[1] - g)) / alpharadbias;
- p[2] -= (a * (p[2] - r)) / alpharadbias;
- } catch (e) {}
- }
- }
- };
-
- /*
- * Move neuron i towards biased (b,g,r) by factor alpha
- * ----------------------------------------------------
- */
-
- var altersingle = function altersingle(alpha, i, b, g, r) {
-
- /* alter hit neuron */
- var n = network[i];
- n[0] -= (alpha * (n[0] - b)) / initalpha;
- n[1] -= (alpha * (n[1] - g)) / initalpha;
- n[2] -= (alpha * (n[2] - r)) / initalpha;
- };
-
- /*
- * Search for biased BGR values ----------------------------
- */
-
- var contest = function contest(b, g, r) {
-
- /* finds closest neuron (min dist) and updates freq */
- /* finds best neuron (min dist-bias) and returns position */
- /* for frequently chosen neurons, freq[i] is high and bias[i] is negative */
- /* bias[i] = gamma*((1/netsize)-freq[i]) */
-
- var i;
- var dist;
- var a;
- var biasdist;
- var betafreq;
- var bestpos;
- var bestbiaspos;
- var bestd;
- var bestbiasd;
- var n;
-
- bestd = ~ (1 << 31);
- bestbiasd = bestd;
- bestpos = -1;
- bestbiaspos = bestpos;
-
- for (i = 0; i < netsize; i++) {
- n = network[i];
- dist = n[0] - b;
- if (dist < 0) dist = -dist;
- a = n[1] - g;
- if (a < 0) a = -a;
- dist += a;
- a = n[2] - r;
- if (a < 0) a = -a;
- dist += a;
-
- if (dist < bestd) {
- bestd = dist;
- bestpos = i;
- }
-
- biasdist = dist - ((bias[i]) >> (intbiasshift - netbiasshift));
-
- if (biasdist < bestbiasd) {
- bestbiasd = biasdist;
- bestbiaspos = i;
- }
-
- betafreq = (freq[i] >> betashift);
- freq[i] -= betafreq;
- bias[i] += (betafreq << gammashift);
- }
-
- freq[bestpos] += beta;
- bias[bestpos] -= betagamma;
- return (bestbiaspos);
- };
-
- NeuQuant.apply(this, arguments);
- return exports;
- };
-
- ;/**
- * This class lets you encode animated GIF files
- * Base class : http://www.java2s.com/Code/Java/2D-Graphics-GUI/AnimatedGifEncoder.htm
- * @author Kevin Weiner (original Java version - kweiner@fmsware.com)
- * @author Thibault Imbert (AS3 version - bytearray.org)
- * @author Kevin Kwok (JavaScript version - https://github.com/antimatter15/jsgif)
- * @version 0.1 AS3 implementation
- */
-
- GIFEncoder = function() {
-
- for (var i = 0, chr = {}; i < 256; i++)
- chr[i] = String.fromCharCode(i);
-
- function ByteArray() {
- this.bin = [];
- }
-
- ByteArray.prototype.getData = function() {
- for (var v = '', l = this.bin.length, i = 0; i < l; i++)
- v += chr[this.bin[i]];
- return v;
- };
-
- ByteArray.prototype.writeByte = function(val) {
- this.bin.push(val);
- };
-
- ByteArray.prototype.writeUTFBytes = function(string) {
- for (var l = string.length, i = 0; i < l; i++)
- this.writeByte(string.charCodeAt(i));
- };
-
- ByteArray.prototype.writeBytes = function(array, offset, length) {
- for (var l = length || array.length, i = offset || 0; i < l; i++)
- this.writeByte(array[i]);
- };
-
- var exports = {};
- var width; // image size
- var height;
- var transparent = null; // transparent color if given
- var transIndex; // transparent index in color table
- var repeat = -1; // no repeat
- var delay = 0; // frame delay (hundredths)
- var started = false; // ready to output frames
- var out;
- var image; // current frame
- var pixels; // BGR byte array from frame
- var indexedPixels; // converted frame indexed to palette
- var colorDepth; // number of bit planes
- var colorTab; // RGB palette
- var usedEntry = []; // active palette entries
- var palSize = 7; // color table size (bits-1)
- var dispose = -1; // disposal code (-1 = use default)
- var closeStream = false; // close stream when finished
- var firstFrame = true;
- var sizeSet = false; // if false, get size from first frame
- var sample = 10; // default sample interval for quantizer
- var comment = "Generated by jsgif (https://github.com/antimatter15/jsgif/)"; // default comment for generated gif
-
- /**
- * Sets the delay time between each frame, or changes it for subsequent frames
- * (applies to last frame added)
- * int delay time in milliseconds
- * @param ms
- */
-
- var setDelay = exports.setDelay = function setDelay(ms) {
- delay = Math.round(ms / 10);
- };
-
- /**
- * Sets the GIF frame disposal code for the last added frame and any
- *
- * subsequent frames. Default is 0 if no transparent color has been set,
- * otherwise 2.
- * @param code
- * int disposal code.
- */
-
- var setDispose = exports.setDispose = function setDispose(code) {
- if (code >= 0) dispose = code;
- };
-
- /**
- * Sets the number of times the set of GIF frames should be played. Default is
- * 1; 0 means play indefinitely. Must be invoked before the first image is
- * added.
- *
- * @param iter
- * int number of iterations.
- * @return
- */
-
- var setRepeat = exports.setRepeat = function setRepeat(iter) {
- if (iter >= 0) repeat = iter;
- };
-
- /**
- * Sets the transparent color for the last added frame and any subsequent
- * frames. Since all colors are subject to modification in the quantization
- * process, the color in the final palette for each frame closest to the given
- * color becomes the transparent color for that frame. May be set to null to
- * indicate no transparent color.
- * @param
- * Color to be treated as transparent on display.
- */
-
- var setTransparent = exports.setTransparent = function setTransparent(c) {
- transparent = c;
- };
-
-
- /**
- * Sets the comment for the block comment
- * @param
- * string to be insterted as comment
- */
-
- var setComment = exports.setComment = function setComment(c) {
- comment = c;
- };
-
-
-
- /**
- * The addFrame method takes an incoming BitmapData object to create each frames
- * @param
- * BitmapData object to be treated as a GIF's frame
- */
-
- var addFrame = exports.addFrame = function addFrame(im, is_imageData) {
-
- if ((im === null) || !started || out === null) {
- throw new Error("Please call start method before calling addFrame");
- }
-
- var ok = true;
-
- try {
- if (!is_imageData) {
- image = im.getImageData(0, 0, im.canvas.width, im.canvas.height).data;
- if (!sizeSet) setSize(im.canvas.width, im.canvas.height);
- } else {
- if(im instanceof ImageData) {
- image = im.data;
- if(!sizeset || width!=im.width || height!=im.height) {
- setSize(im.width,im.height);
- } else {
-
- }
- } else if(im instanceof Uint8ClampedArray) {
- if(im.length==(width*height*4)) {
- image=im;
- } else {
- console.log("Please set the correct size: ImageData length mismatch");
- ok=false;
- }
- } else {
- console.log("Please provide correct input");
- ok=false;
- }
- }
- getImagePixels(); // convert to correct format if necessary
- analyzePixels(); // build color table & map pixels
-
- if (firstFrame) {
- writeLSD(); // logical screen descriptior
- writePalette(); // global color table
- if (repeat >= 0) {
- // use NS app extension to indicate reps
- writeNetscapeExt();
- }
- }
-
- writeGraphicCtrlExt(); // write graphic control extension
- if (comment !== '') {
- writeCommentExt(); // write comment extension
- }
- writeImageDesc(); // image descriptor
- if (!firstFrame) writePalette(); // local color table
- writePixels(); // encode and write pixel data
- firstFrame = false;
- } catch (e) {
- ok = false;
- }
-
- return ok;
- };
-
- /**
- * @description: Downloads the encoded gif with the given name
- * No need of any conversion from the stream data (out) to base64
- * Solves the issue of large file sizes when there are more frames
- * and does not involve in creation of any temporary data in the process
- * so no wastage of memory, and speeds up the process of downloading
- * to just calling this function.
- * @parameter {String} filename filename used for downloading the gif
- */
-
- var download = exports.download = function download(filename) {
- if(out===null || closeStream==false) {
- console.log("Please call start method and add frames and call finish method before calling download");
- } else {
- filename= filename !== undefined ? ( filename.endsWith(".gif")? filename: filename+".gif" ): "download.gif";
- var templink = document.createElement("a");
- templink.download=filename;
- templink.href= URL.createObjectURL(new Blob([new Uint8Array(out.bin)], {type : "image/gif" } ));
- templink.click();
- }
- }
-
- /**
- * Adds final trailer to the GIF stream, if you don't call the finish method
- * the GIF stream will not be valid.
- */
-
- var finish = exports.finish = function finish() {
-
- if (!started) return false;
-
- var ok = true;
- started = false;
-
- try {
- out.writeByte(0x3b); // gif trailer
- closeStream=true;
- } catch (e) {
- ok = false;
- }
-
- return ok;
- };
-
- /**
- * Resets some members so that a new stream can be started.
- * This method is actually called by the start method
- */
-
- var reset = function reset() {
-
- // reset for subsequent use
- transIndex = 0;
- image = null;
- pixels = null;
- indexedPixels = null;
- colorTab = null;
- closeStream = false;
- firstFrame = true;
- };
-
- /**
- * * Sets frame rate in frames per second. Equivalent to
- * <code>setDelay(1000/fps)</code>.
- * @param fps
- * float frame rate (frames per second)
- */
-
- var setFrameRate = exports.setFrameRate = function setFrameRate(fps) {
- if (fps != 0xf) delay = Math.round(100 / fps);
- };
-
- /**
- * Sets quality of color quantization (conversion of images to the maximum 256
- * colors allowed by the GIF specification). Lower values (minimum = 1)
- * produce better colors, but slow processing significantly. 10 is the
- * default, and produces good color mapping at reasonable speeds. Values
- * greater than 20 do not yield significant improvements in speed.
- * @param quality
- * int greater than 0.
- * @return
- */
-
- var setQuality = exports.setQuality = function setQuality(quality) {
- if (quality < 1) quality = 1;
- sample = quality;
- };
-
- /**
- * Sets the GIF frame size. The default size is the size of the first frame
- * added if this method is not invoked.
- * @param w
- * int frame width.
- * @param h
- * int frame width.
- */
-
- var setSize = exports.setSize = function setSize(w, h) {
-
- if (started && !firstFrame) return;
- width = w;
- height = h;
- if (width < 1) width = 320;
- if (height < 1) height = 240;
- sizeSet = true;
- };
-
- /**
- * Initiates GIF file creation on the given stream.
- * @param os
- * OutputStream on which GIF images are written.
- * @return false if initial write failed.
- */
-
- var start = exports.start = function start() {
-
- reset();
- var ok = true;
- closeStream = false;
- out = new ByteArray();
- try {
- out.writeUTFBytes("GIF89a"); // header
- } catch (e) {
- ok = false;
- }
-
- return started = ok;
- };
-
- var cont = exports.cont = function cont() {
-
- reset();
- var ok = true;
- closeStream = false;
- out = new ByteArray();
-
- return started = ok;
- };
-
- /**
- * Analyzes image colors and creates color map.
- */
-
- var analyzePixels = function analyzePixels() {
-
- var len = pixels.length;
- var nPix = len / 3;
- indexedPixels = [];
- var nq = new NeuQuant(pixels, len, sample);
-
- // initialize quantizer
- colorTab = nq.process(); // create reduced palette
-
- // map image pixels to new palette
- var k = 0;
- for (var j = 0; j < nPix; j++) {
- var index = nq.map(pixels[k++] & 0xff, pixels[k++] & 0xff, pixels[k++] & 0xff);
- usedEntry[index] = true;
- indexedPixels[j] = index;
- }
-
- pixels = null;
- colorDepth = 8;
- palSize = 7;
-
- // get closest match to transparent color if specified
- if (transparent !== null) {
- transIndex = findClosest(transparent);
- }
- };
-
- /**
- * Returns index of palette color closest to c
- */
-
- var findClosest = function findClosest(c) {
-
- if (colorTab === null) return -1;
- var r = (c & 0xFF0000) >> 16;
- var g = (c & 0x00FF00) >> 8;
- var b = (c & 0x0000FF);
- var minpos = 0;
- var dmin = 256 * 256 * 256;
- var len = colorTab.length;
-
- for (var i = 0; i < len;) {
- var dr = r - (colorTab[i++] & 0xff);
- var dg = g - (colorTab[i++] & 0xff);
- var db = b - (colorTab[i] & 0xff);
- var d = dr * dr + dg * dg + db * db;
- var index = i / 3;
- if (usedEntry[index] && (d < dmin)) {
- dmin = d;
- minpos = index;
- }
- i++;
- }
- return minpos;
- };
-
- /**
- * Extracts image pixels into byte array "pixels
- */
-
- var getImagePixels = function getImagePixels() {
- var w = width;
- var h = height;
- pixels = [];
- var data = image;
- var count = 0;
-
- for (var i = 0; i < h; i++) {
-
- for (var j = 0; j < w; j++) {
-
- var b = (i * w * 4) + j * 4;
- pixels[count++] = data[b];
- pixels[count++] = data[b + 1];
- pixels[count++] = data[b + 2];
-
- }
-
- }
- };
-
- /**
- * Writes Graphic Control Extension
- */
-
- var writeGraphicCtrlExt = function writeGraphicCtrlExt() {
- out.writeByte(0x21); // extension introducer
- out.writeByte(0xf9); // GCE label
- out.writeByte(4); // data block size
- var transp;
- var disp;
- if (transparent === null) {
- transp = 0;
- disp = 0; // dispose = no action
- } else {
- transp = 1;
- disp = 2; // force clear if using transparent color
- }
- if (dispose >= 0) {
- disp = dispose & 7; // user override
- }
- disp <<= 2;
- // packed fields
- out.writeByte(0 | // 1:3 reserved
- disp | // 4:6 disposal
- 0 | // 7 user input - 0 = none
- transp); // 8 transparency flag
-
- WriteShort(delay); // delay x 1/100 sec
- out.writeByte(transIndex); // transparent color index
- out.writeByte(0); // block terminator
- };
-
- /**
- * Writes Comment Extention
- */
-
- var writeCommentExt = function writeCommentExt() {
- out.writeByte(0x21); // extension introducer
- out.writeByte(0xfe); // comment label
- out.writeByte(comment.length); // Block Size (s)
- out.writeUTFBytes(comment);
- out.writeByte(0); // block terminator
- };
-
-
- /**
- * Writes Image Descriptor
- */
-
- var writeImageDesc = function writeImageDesc() {
-
- out.writeByte(0x2c); // image separator
- WriteShort(0); // image position x,y = 0,0
- WriteShort(0);
- WriteShort(width); // image size
- WriteShort(height);
-
- // packed fields
- if (firstFrame) {
- // no LCT - GCT is used for first (or only) frame
- out.writeByte(0);
- } else {
- // specify normal LCT
- out.writeByte(0x80 | // 1 local color table 1=yes
- 0 | // 2 interlace - 0=no
- 0 | // 3 sorted - 0=no
- 0 | // 4-5 reserved
- palSize); // 6-8 size of color table
- }
- };
-
- /**
- * Writes Logical Screen Descriptor
- */
-
- var writeLSD = function writeLSD() {
-
- // logical screen size
- WriteShort(width);
- WriteShort(height);
- // packed fields
- out.writeByte((0x80 | // 1 : global color table flag = 1 (gct used)
- 0x70 | // 2-4 : color resolution = 7
- 0x00 | // 5 : gct sort flag = 0
- palSize)); // 6-8 : gct size
-
- out.writeByte(0); // background color index
- out.writeByte(0); // pixel aspect ratio - assume 1:1
- };
-
- /**
- * Writes Netscape application extension to define repeat count.
- */
-
- var writeNetscapeExt = function writeNetscapeExt() {
- out.writeByte(0x21); // extension introducer
- out.writeByte(0xff); // app extension label
- out.writeByte(11); // block size
- out.writeUTFBytes("NETSCAPE" + "2.0"); // app id + auth code
- out.writeByte(3); // sub-block size
- out.writeByte(1); // loop sub-block id
- WriteShort(repeat); // loop count (extra iterations, 0=repeat forever)
- out.writeByte(0); // block terminator
- };
-
- /**
- * Writes color table
- */
-
- var writePalette = function writePalette() {
- out.writeBytes(colorTab);
- var n = (3 * 256) - colorTab.length;
- for (var i = 0; i < n; i++) out.writeByte(0);
- };
-
- var WriteShort = function WriteShort(pValue) {
- out.writeByte(pValue & 0xFF);
- out.writeByte((pValue >> 8) & 0xFF);
- };
-
- /**
- * Encodes and writes pixel data
- */
-
- var writePixels = function writePixels() {
- var myencoder = new LZWEncoder(width, height, indexedPixels, colorDepth);
- myencoder.encode(out);
- };
-
- /**
- * Retrieves the GIF stream
- */
-
- var stream = exports.stream = function stream() {
- return out;
- };
-
- var setProperties = exports.setProperties = function setProperties(has_start, is_first) {
- started = has_start;
- firstFrame = is_first;
- };
-
- return exports;
-
- };
-
- // garbage code below
- const styleRules = [
- '#layerContainer::-webkit-scrollbar { width: 5px; height: 5px; overflow: hidden}',
- '#layerContainer::-webkit-scrollbar-track { background: none }',
- '#layerContainer::-webkit-scrollbar-thumb { background: #F5BC09; border-radius: 5px }',
- ];
-
- const sheet = window.document.styleSheets[window.document.styleSheets.length - 1];
-
- const outerContainer = document.createElement('div');
- const canvasContainer = document.querySelector('#gameCanvas');
- const canvasInner = document.querySelector("#gameCanvasInner");
- const containerStyle = `white-space: nowrap;
- overflow: auto;
- justify-content:center;
- margin-top: 10px;
- max-width: 76%;
- height: 124px;
- background: rgb(0 0 0 / 30%);
- padding: 10px;
- overflow-y: hidden;
- border-radius: 10px;
- margin-bottom: 5px;
- margin-left: 5vw;
- width: 100%`;
-
- const canvas = document.querySelector('#canvas');
- const ctx = canvas.getContext('2d');
- const encoder = new GIFEncoder();
-
- const contextLayers = [];
-
- (() => {
- addLayerContainer();
- styleRules.forEach((rule) => sheet.insertRule(rule));
- const gameModeObserver = new MutationObserver(checkRoomType);
-
- gameModeObserver.observe(document.querySelector('.game'),
- { attributes: true });
- gameModeObserver.observe(canvas, { attributes: true });
- })();
-
- function checkRoomType() {
- outerContainer.style.display = isFreeDraw() ? 'flex' : 'none';
- }
-
- function addLayer() {
- resetActiveLayer();
- const imgData = ctx.getImageData(0, 0, canvas.width, canvas.height);
- saveLayer(imgData);
-
- const canvasLayer = createLayer();
- const layerCtx = canvasLayer.getContext('2d');
- layerCtx.putImageData(imgData, 0, 0);
- makeTransparent(layerCtx);
-
- const previousLayer = canvasInner.querySelector("#canvasLayer");
- if (previousLayer) previousLayer.remove();
- canvas.parentElement.insertBefore(canvasLayer, canvas);
- }
-
- function render(name, delay) {
- if (!contextLayers.length) return;
- encoder.setRepeat(0);
- encoder.setDelay(delay);
- encoder.start();
- contextLayers.forEach(layer => {
- encoder.addFrame(layer);
- });
- encoder.finish();
- encoder.download(name + ".gif");
- }
-
- function copyCtx(imgData) {
- const tempCanvas = document.createElement('canvas');
- tempCanvas.width = canvas.width;
- tempCanvas.height = canvas.height;
- const tempCtx = tempCanvas.getContext('2d');
- tempCtx.putImageData(imgData, 0, 0);
- return tempCtx;
- }
-
- function saveLayer(data) {
- contextLayers.push(copyCtx(data));
- const container = document.querySelector("#layerContainer");
- // const div = document.createElement("div");
- const img = document.createElement("img");
- img.style.width = "133px";
- img.style.cursor = "pointer";
- img.style.marginRight = "5px";
- img.src = canvas.toDataURL();
-
- container.append(img);
- }
-
- function setActiveLayer(e) {
- const img = e.target;
- if (img.tagName !== "IMG") return;
- resetActiveLayer();
- const canvasLayerCtx = document.querySelector("#canvasLayer").getContext("2d");
- const previousImg = img.previousSibling;
- if (previousImg) {
- canvasLayerCtx.drawImage(previousImg, 0, 0);
- makeTransparent(canvasLayerCtx);
- } else {
- canvasLayerCtx.clearRect(0, 0, canvas.width, canvas.height);
- }
- img.id = "activeLayer";
- img.style.border = "3px solid red";
- ctx.drawImage(img, 0, 0);
- }
-
- function resetActiveLayer() {
- const layer = document.querySelector("#activeLayer");
- if (!layer) return;
- layer.id = "";
- layer.style.border = "";
- }
-
- function createLayer() {
- const canvasLayer = document.createElement('canvas');
- canvasLayer.style.width = '100%';
- canvasLayer.style.position = 'absolute';
- canvasLayer.style.pointerEvents = 'none';
- canvasLayer.style.imageRendering = 'pixelated';
- canvasLayer.style.filter = 'opacity(0.5)';
- canvasLayer.width = canvas.width;
- canvasLayer.height = canvas.height;
- canvasLayer.id = "canvasLayer";
- return canvasLayer;
- }
-
- function downloadGif(data, name) {
- let a = document.createElement("a");
- a.download = name + ".gif";
- a.href = data;
- a.click();
- }
-
- function addButton(text, clickFunction, element, type) {
- const button = document.createElement("div");
- button.setAttribute("class", `btn btn-sm btn-${type}`);
- button.setAttribute("style", "height: fit-content; margin-top: 10px; margin-left: 10px;");
- button.textContent = text;
- button.onclick = clickFunction;
- element.append(button);
- return button;
- }
-
- function getInterval() {
- let interval = parseInt(document.querySelector("#gifInterval").value);
- if (isNaN(interval) || interval < 0 || interval > 5000) interval = 100;
- return interval;
- }
-
- function renderGif() {
- const interval = getInterval();
- const name = "sketchful-gif-" + Date.now();
- render(name, interval);
- console.log("rendered " + name);
- }
-
- function removeLayer() {
- const activeLayer = document.querySelector('#activeLayer');
- const layerContainer = document.querySelector('#layerContainer');
- if (!activeLayer) return;
- const index = Array.prototype.indexOf.call(layerContainer.children, activeLayer);
- contextLayers.splice(index, 1);
- activeLayer.remove();
- }
-
- function addLayerContainer() {
- const game = document.querySelector("body > div.game");
- const container = document.createElement("div");
-
- outerContainer.style.display = "flex";
- outerContainer.style.flexDirection = "row";
-
- container.addEventListener('wheel', (e) => {
- if (e.deltaY > 0) container.scrollLeft += 100;
- else container.scrollLeft -= 100;
- e.preventDefault();
- });
-
- container.addEventListener('pointerdown', setActiveLayer, true);
-
- container.id = "layerContainer";
- container.setAttribute("style", containerStyle);
- container.setAttribute("ondragstart", "return false");
- outerContainer.append(container);
-
- const buttonContainer = document.createElement("div");
- buttonContainer.style.width = "15%";
- outerContainer.append(buttonContainer);
- addButton("Save Gif", renderGif, buttonContainer, "warning");
- addButton("NOnion", toggleOnion, buttonContainer, "warning");
- addButton("Save Layer", addLayer, buttonContainer, "info");
- addButton("Delete Layer", removeLayer, buttonContainer, "danger");
-
- const textInput = document.createElement("input");
- textInput.style.width = "100px";
- textInput.placeholder = "Interval (ms)";
- textInput.style.marginTop = "10px";
- textInput.style.marginLeft = "10px";
- textInput.id = "gifInterval";
- setInputFilter(textInput, (value) => {
- return /^\d*\.?\d*$/.test(value);
- });
- buttonContainer.append(textInput);
-
- addButton("Play", playAnimation, buttonContainer, "success").style.marginTop = "";
- game.append(outerContainer);
- }
-
- function toggleOnion(e) {
- const button = e.target;
- const canvasLayer = document.querySelector("#canvasLayer");
- if (!canvasLayer) return;
-
- if (button.textContent === "NOnion") {
- canvasLayer.style.display = "none";
- button.textContent = "Onion";
- } else {
- canvasLayer.style.display = "";
- button.textContent = "NOnion";
- }
- }
-
- let animating = null;
- function playAnimation(e) {
- const playButton = e.target;
-
- if (playButton.textContent === "Stop") {
- playButton.classList.toggle("btn-success");
- playButton.classList.toggle("btn-danger");
- playButton.textContent = "Play";
- if (animating) clearInterval(animating);
- const preview = document.querySelector("#gifPreview");
- if (preview) preview.remove();
- return;
- }
-
- const canvasCover = document.querySelector("#canvasCover");
- const layerContainer = document.querySelector("#layerContainer");
- const img = document.createElement('img');
- img.style.position = "absolute";
- img.style.zIndex = "1";
- img.style.width = "100%";
- img.style.imageRendering = "pixelated";
- img.id = "gifPreview";
-
- canvasCover.parentElement.insertBefore(img, canvasCover);
-
- let frame = layerContainer.firstChild;
- if (!frame) return;
- const interval = getInterval();
-
- playButton.classList.toggle("btn-success");
- playButton.classList.toggle("btn-danger");
- playButton.textContent = "Stop";
-
- animating = setInterval(() => {
- img.src = frame.src;
- frame = frame.nextSibling || layerContainer.firstChild;
- }, interval);
- }
-
- function isFreeDraw() {
- return (
- document.querySelector("#canvas").style.display !== 'none' &&
- document.querySelector('#gameClock').style.display === 'none' &&
- document.querySelector('#gameSettings').style.display === 'none'
- );
- }
-
- function setInputFilter(textbox, inputFilter) {
- ["input", "keydown", "keyup", "mousedown", "mouseup", "select", "contextmenu", "drop"].forEach(function(event) {
- textbox.addEventListener(event, function() {
- if (inputFilter(this.value)) {
- this.oldValue = this.value;
- this.oldSelectionStart = this.selectionStart;
- this.oldSelectionEnd = this.selectionEnd;
- } else if (this.hasOwnProperty("oldValue")) {
- this.value = this.oldValue;
- this.setSelectionRange(this.oldSelectionStart, this.oldSelectionEnd);
- } else {
- this.value = "";
- }
- });
- });
- }
-
- function makeTransparent(context) {
- const imgData = context.getImageData(0, 0, canvas.width, canvas.height);
- const data = imgData.data;
-
- for(let i = 0; i < data.length; i += 4) {
- const [r, g, b] = data.slice(i, i + 3);
- if (r == 255 && g == 255 && b == 255) {
- data[i + 3] = 0;
- }
- }
-
- context.putImageData(imgData, 0, 0);
- }