big updat:

- update dependencies
- add webp support and webp conversion for profile images
This commit is contained in:
olcxja 2026-07-02 22:40:46 +02:00
commit 95aaaa69ea
244 changed files with 121382 additions and 86 deletions

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node_modules
site/build/

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# gif.js
JavaScript GIF encoder that runs in your browser.
Uses typed arrays and web workers to render each frame in the background, it's really fast!
**Demo** - http://jnordberg.github.io/gif.js/
Works in browsers supporting: [Web Workers](http://www.w3.org/TR/workers/), [File API](http://www.w3.org/TR/FileAPI/) and [Typed Arrays](https://www.khronos.org/registry/typedarray/specs/latest/)
## Usage
Include `gif.js` found in `dist/` in your page. Also make sure to have `gif.worker.js` in the same location.
```javascript
var gif = new GIF({
workers: 2,
quality: 10
});
// add an image element
gif.addFrame(imageElement);
// or a canvas element
gif.addFrame(canvasElement, {delay: 200});
// or copy the pixels from a canvas context
gif.addFrame(ctx, {copy: true});
gif.on('finished', function(blob) {
window.open(URL.createObjectURL(blob));
});
gif.render();
```
## Options
Options can be passed to the constructor or using the `setOptions` method.
| Name | Default | Description |
| -------------|-----------------|----------------------------------------------------|
| repeat | `0` | repeat count, `-1` = no repeat, `0` = forever |
| quality | `10` | pixel sample interval, lower is better |
| workers | `2` | number of web workers to spawn |
| workerScript | `gif.worker.js` | url to load worker script from |
| background | `#fff` | background color where source image is transparent |
| width | `null` | output image width |
| height | `null` | output image height |
| transparent | `null` | transparent hex color, `0x00FF00` = green |
| dither | `false` | dithering method, e.g. `FloydSteinberg-serpentine` |
| debug | `false` | whether to print debug information to console |
If width or height is `null` image size will be deteremined by first frame added.
Available dithering methods are:
* `FloydSteinberg`
* `FalseFloydSteinberg`
* `Stucki`
* `Atkinson`
You can add `-serpentine` to use serpentine scanning, e.g. `Stucki-serpentine`.
### addFrame options
| Name | Default | Description |
| -------------|-----------------|----------------------------------------------------|
| delay | `500` | frame delay |
| copy | `false` | copy the pixel data |
## Acknowledgements
gif.js is based on:
* [Kevin Weiner's Animated gif encoder classes](http://www.fmsware.com/stuff/gif.html)
* [Neural-Net color quantization algorithm by Anthony Dekker](http://members.ozemail.com.au/~dekker/NEUQUANT.HTML)
* [Thibault Imbert's as3gif](https://code.google.com/p/as3gif/)
Dithering code contributed by @PAEz and @panrafal
## License
The MIT License (MIT)
Copyright (c) 2013 Johan Nordberg
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.

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#!/usr/bin/env bash
URL="https://github.com/jnordberg/gif.js"
TMP="./dist/tmp"
if [ -d ./node_modules ]; then
PATH="./node_modules/.bin/:$PATH"
VERSION=`./bin/version`
echo "Packaging gif.js $VERSION"
browserify -d -s GIF -t coffeeify src/gif.coffee | exorcist dist/_gif.js.map > dist/_gif.js
uglifyjs dist/_gif.js \
--preamble "// gif.js $VERSION - $URL" \
--in-source-map dist/_gif.js.map \
--source-map dist/gif.js.map \
--source-map-url gif.js.map \
> dist/gif.js
browserify -d -t coffeeify --bare src/gif.worker.coffee | exorcist dist/_gif.worker.js.map > dist/_gif.worker.js
uglifyjs dist/_gif.worker.js \
--preamble "// gif.worker.js $VERSION - $URL" \
--in-source-map dist/_gif.worker.js.map \
--source-map dist/gif.worker.js.map \
--source-map-url gif.worker.js.map \
> dist/gif.worker.js
rm dist/_*
else
echo "Build dependencies missing. Run npm install"
exit 1
fi

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#!/usr/bin/env node
var fs = require('fs');
var pkg = JSON.parse(fs.readFileSync('package.json'));
process.stdout.write(pkg.version);

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/* _ ___ _
(_) / __)(_)
____ _ _| |__ _ ___
/ _ | (_ __)| |/___)
( (_| | | | | _ | |___ |
\___ |_| |_|(_)| (___/
(_____| (_*/
module.exports = {
NeuQuant: require('./src/NeuQuant.js'),
TypedNeuQuant: require('./src/TypedNeuQuant.js'),
GIFEncoder: require('./src/GIFEncoder.js'),
LZWEncoder: require('./src/LZWEncoder.js')
};

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{
"name": "gif.js",
"version": "0.2.0",
"description": "JavaScript GIF encoding library",
"author": "Johan Nordberg <code@johan-nordberg.com>",
"main": "index.js",
"repository": "https://github.com/jnordberg/gif.js.git",
"devDependencies": {
"browserify": "^13.1.1",
"coffeeify": "^2.1.0",
"exorcist": "^0.4.0",
"uglify-js": "^2.7.5"
},
"scripts": {
"prepublish": "./bin/build"
},
"browser": "./dist/gif.js",
"keywords": [
"gif",
"animation",
"encoder"
],
"license": "MIT",
"readmeFilename": "README.md"
}

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{
"locals": {
"name": "gif.js",
"url": "http://jnordberg.github.io/gif.js",
"description": "Full-featured JavaScript GIF encoder that runs in your browser.",
"keywords": "gif, encoder, animation, browser, unicorn",
"version": "3"
},
"baseUrl": "/gif.js/",
"require": {
"hljs": "highlight.js"
},
"nunjucks": {
"autoescape": false
},
"plugins": [
"wintersmith-browserify",
"wintersmith-less",
"wintersmith-nunjucks",
"./plugins/jsignore.coffee"
]
}

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```javascript
var gif = new GIF({
workers: 2,
quality: 10
});
// add a image element
gif.addFrame(imageElement);
// or a canvas element
gif.addFrame(canvasElement, {delay: 200});
// or copy the pixels from a canvas context
gif.addFrame(ctx, {copy: true});
gif.on('finished', function(blob) {
window.open(URL.createObjectURL(blob));
});
gif.render();
```

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{
"template": "index.html"
}

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User-agent: *
Disallow:

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require 'browsernizr/test/css/rgba'
require 'browsernizr/test/css/transforms3d'
Modernizr = require 'browsernizr'
require './vendor/mootools.js'
async = require 'async'
ready = require './vendor/ready.js'
now = window.performance?.now?.bind(window.performance) or Date.now
# fallback for browsers not supporting createObjectURL
blobURLSupport = window.URL?.createObjectURL?
buildDataURL = do ->
charMap = {}
charMap[i] = String.fromCharCode(i) for i in [0...256]
return (data) ->
str = ''
for i in [0...data.length]
str += charMap[data[i]]
return 'data:image/gif;base64,' + btoa(str)
loadImage = (src, callback) ->
img = new Image()
img.onload = ->
callback null, img
img.onerror = ->
callback new Error "Could load #{ src }"
img.src = src
setupDemo = (element) ->
element.getElements('.hover-buttons li').addEvents
mouseenter: -> element.addClass @className
mouseleave: -> element.removeClass @className
qslider = element.getElement '.quality input'
qvalue = element.getElement '.quality span'
renderimg = element.getElement 'img.render'
logel = element.getElement 'pre'
gif = new GIF
debug: true
quality: 10
workers: 2
startTime = null
gif.on 'start', ->
startTime = now()
gif.on 'finished', (blob, data) ->
if blobURLSupport
renderimg.src = URL.createObjectURL(blob)
else
renderimg.src = buildDataURL(data)
delta = now() - startTime
logel.set 'text', "Rendered #{ images.length } frame(s) at q#{ gif.options.quality } in #{ delta.toFixed(2) }ms"
gif.on 'progress', (p) ->
logel.set 'text', "Rendering #{ images.length } frame(s) at q#{ gif.options.quality }... #{ Math.round(p * 100) }%"
images = element.getElements('img.original').map (img) -> img.src
async.map images, loadImage, (error, images) ->
throw error if error?
gif.addFrame image, {delay: 500, copy: true} for image in images
gif.render()
qslider.addEvent 'change', ->
val = 31 - parseInt qslider.value
qvalue.set 'text', val
gif.setOption 'quality', val
gif.abort()
gif.render()
(element.getElement '.dither select')?.addEvent 'change', ->
gif.setOption 'dither', if @value is 'None' then false else @value
gif.abort()
gif.render()
delay = element.getElement '.delay'
if delay?
delay.getElement('input').addEvent 'change', ->
value = parseInt this.value
delay.getElement('.value').set 'text', value + 'ms'
for frame in gif.frames
frame.delay = value
gif.abort()
gif.render()
repeat = element.getElement '.repeat'
if repeat?
repeat.getElement('input').addEvent 'change', ->
value = parseInt this.value
value = -1 if value is 0
value = 0 if value is 21
switch value
when 0
txt = 'forever'
when -1
txt = 'none'
else
txt = value
repeat.getElement('.value').set 'text', txt
gif.setOption 'repeat', value
gif.abort()
gif.render()
ready ->
for demo in document.body.querySelectorAll '.demo'
setupDemo demo

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/*!
* domready (c) Dustin Diaz 2012 - License MIT
*/
!function (name, context, definition) {
if (typeof module != 'undefined') module.exports = definition()
else if (typeof define == 'function' && typeof define.amd == 'object') define(definition)
else context[name] = definition()
}('domready', this, function (ready) {
var fns = [], fn, f = false
, doc = document
, testEl = doc.documentElement
, hack = testEl.doScroll
, domContentLoaded = 'DOMContentLoaded'
, addEventListener = 'addEventListener'
, onreadystatechange = 'onreadystatechange'
, readyState = 'readyState'
, loaded = /^loade|c/.test(doc[readyState])
function flush(f) {
loaded = 1
while (f = fns.shift()) f()
}
doc[addEventListener] && doc[addEventListener](domContentLoaded, fn = function () {
doc.removeEventListener(domContentLoaded, fn, f)
flush()
}, f)
hack && doc.attachEvent(onreadystatechange, fn = function () {
if (/^c/.test(doc[readyState])) {
doc.detachEvent(onreadystatechange, fn)
flush()
}
})
return (ready = hack ?
function (fn) {
self != top ?
loaded ? fn() : fns.push(fn) :
function () {
try {
testEl.doScroll('left')
} catch (e) {
return setTimeout(function() { ready(fn) }, 50)
}
fn()
}()
} :
function (fn) {
loaded ? fn() : fns.push(fn)
})
})

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@import 'vendor/reset';
@import 'vendor/elements';
@background: #d4d4d4;
@text: #131313;
html, body {
min-height: 100%;
}
body {
font-family: 'Helvetica Neue', Helvetica, sans-serif;
font-size: 21px;
color: @text;
margin: 0;
.gradient(@background, @background, lighten(@background, 20%));
}
h1 {
font-size: 2.6em;
margin-bottom: 0.5em;
}
p {
margin-bottom: 1em;
}
h2 {
font-size: 1.6em;
margin-bottom: 0.8em;
margin-top: 1.2em;
}
header {
padding-top: 1em;
h1 {
overflow: hidden;
text-indent: -100%;
background: url(../images/logo.gif);
width: 600px;
height: 288px;
}
}
footer {
text-align: center;
font-size: 0.8em;
padding: 10em 1em 1em;
font-style: italic;
&, a {
text-decoration: none;
color: #505050;
}
}
header, footer, .wrap {
width: 600px;
margin: 0 auto;
}
.demo, .demo pre {
font-family: Menlo, monospace;
font-size: 18px;
}
.demo {
position: relative;
background: #fff;
width: 600px;
margin: 0 auto;
box-shadow: 0 0 10px rgba(0, 0, 0, 0.5);
margin-bottom: 2em;
.hover-buttons {
position: absolute;
top: 0;
right: 0;
li {
font-size: 14px;
opacity: 0.6;
background: #000;
background: rgba(0, 0, 0, 0.4);
color: #fff;
float: left;
padding: 10px 12px 9px;
border-bottom-right-radius: 4px;
border-bottom-left-radius: 4px;
margin-right: 10px;
cursor: default;
&:hover {
opacity: 1;
}
}
}
.images {
height: 392px;
img {
display: none;
position: absolute;
top: 0;
left: 0;
width: 600px;
height: 392px;
&.render {
display: block;
background: #fff url(../images/loading.gif) no-repeat center center;
}
}
}
&.original .images img.original {
display: block;
}
&.reference .images img.reference {
display: block;
}
.controls {
padding: 10px;
p {
line-height: 1.3;
margin: 0;
}
label {
display: inline-block;
min-width: 80px;
}
pre {
margin-top: 10px;
}
}
}
/* http://jmblog.github.com/color-themes-for-google-code-highlightjs */
.tomorrow-comment, pre .comment, pre .title {
color: #8e908c;
}
.tomorrow-red, pre .variable, pre .attribute, pre .tag, pre .regexp, pre .ruby .constant, pre .xml .tag .title, pre .xml .pi, pre .xml .doctype, pre .html .doctype, pre .css .id, pre .css .class, pre .css .pseudo {
color: #c82829;
}
.tomorrow-orange, pre .number, pre .preprocessor, pre .built_in, pre .literal, pre .params, pre .constant {
color: #f5871f;
}
.tomorrow-yellow, pre .ruby .class .title, pre .css .rules .attribute {
color: #eab700;
}
.tomorrow-green, pre .string, pre .value, pre .inheritance, pre .header, pre .ruby .symbol, pre .xml .cdata {
color: #718c00;
}
.tomorrow-aqua, pre .css .hexcolor {
color: #3e999f;
}
.tomorrow-blue, pre .function, pre .python .decorator, pre .python .title, pre .ruby .function .title, pre .ruby .title .keyword, pre .perl .sub, pre .javascript .title, pre .coffeescript .title {
color: #4271ae;
}
.tomorrow-purple, pre .keyword, pre .javascript .function {
color: #8959a8;
}
pre code {
display: block;
background: white;
color: #4d4d4c;
padding: 0.5em;
}
pre.src code {
font-size: 0.7em;
overflow: auto;
}
pre .coffeescript .javascript,
pre .javascript .xml,
pre .tex .formula,
pre .xml .javascript,
pre .xml .vbscript,
pre .xml .css,
pre .xml .cdata {
opacity: 0.5;
}

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//---------------------------------------------------
// LESS Elements 0.9
//---------------------------------------------------
// A set of useful LESS mixins
// More info at: http://lesselements.com
//---------------------------------------------------
.gradient(@color: #F5F5F5, @start: #EEE, @stop: #FFF) {
background: @color;
background: -webkit-gradient(linear,
left bottom,
left top,
color-stop(0, @start),
color-stop(1, @stop));
background: -ms-linear-gradient(bottom,
@start,
@stop);
background: -moz-linear-gradient(center bottom,
@start 0%,
@stop 100%);
background: -o-linear-gradient(@stop,
@start);
filter: e(%("progid:DXImageTransform.Microsoft.gradient(startColorstr='%d', endColorstr='%d', GradientType=0)",@stop,@start));
}
.bw-gradient(@color: #F5F5F5, @start: 0, @stop: 255) {
background: @color;
background: -webkit-gradient(linear,
left bottom,
left top,
color-stop(0, rgb(@start,@start,@start)),
color-stop(1, rgb(@stop,@stop,@stop)));
background: -ms-linear-gradient(bottom,
rgb(@start,@start,@start) 0%,
rgb(@stop,@stop,@stop) 100%);
background: -moz-linear-gradient(center bottom,
rgb(@start,@start,@start) 0%,
rgb(@stop,@stop,@stop) 100%);
background: -o-linear-gradient(rgb(@stop,@stop,@stop),
rgb(@start,@start,@start));
filter: e(%("progid:DXImageTransform.Microsoft.gradient(startColorstr='%d', endColorstr='%d', GradientType=0)",rgb(@stop,@stop,@stop),rgb(@start,@start,@start)));
}
.bordered(@top-color: #EEE, @right-color: #EEE, @bottom-color: #EEE, @left-color: #EEE) {
border-top: solid 1px @top-color;
border-left: solid 1px @left-color;
border-right: solid 1px @right-color;
border-bottom: solid 1px @bottom-color;
}
.drop-shadow(@x-axis: 0, @y-axis: 1px, @blur: 2px, @alpha: 0.1) {
-webkit-box-shadow: @x-axis @y-axis @blur rgba(0, 0, 0, @alpha);
-moz-box-shadow: @x-axis @y-axis @blur rgba(0, 0, 0, @alpha);
box-shadow: @x-axis @y-axis @blur rgba(0, 0, 0, @alpha);
}
.rounded(@radius: 2px) {
-webkit-border-radius: @radius;
-moz-border-radius: @radius;
border-radius: @radius;
}
.border-radius(@topright: 0, @bottomright: 0, @bottomleft: 0, @topleft: 0) {
-webkit-border-top-right-radius: @topright;
-webkit-border-bottom-right-radius: @bottomright;
-webkit-border-bottom-left-radius: @bottomleft;
-webkit-border-top-left-radius: @topleft;
-moz-border-radius-topright: @topright;
-moz-border-radius-bottomright: @bottomright;
-moz-border-radius-bottomleft: @bottomleft;
-moz-border-radius-topleft: @topleft;
border-top-right-radius: @topright;
border-bottom-right-radius: @bottomright;
border-bottom-left-radius: @bottomleft;
border-top-left-radius: @topleft;
.background-clip(padding-box);
}
.opacity(@opacity: 0.5) {
-moz-opacity: @opacity;
-khtml-opacity: @opacity;
-webkit-opacity: @opacity;
opacity: @opacity;
@opperc: @opacity * 100;
-ms-filter: ~"progid:DXImageTransform.Microsoft.Alpha(opacity=@{opperc})";
filter: ~"alpha(opacity=@{opperc})";
}
.transition-duration(@duration: 0.2s) {
-moz-transition-duration: @duration;
-webkit-transition-duration: @duration;
-o-transition-duration: @duration;
transition-duration: @duration;
}
.transform(...) {
-webkit-transform: @arguments;
-moz-transform: @arguments;
-o-transform: @arguments;
-ms-transform: @arguments;
transform: @arguments;
}
.rotation(@deg:5deg){
.transform(rotate(@deg));
}
.scale(@ratio:1.5){
.transform(scale(@ratio));
}
.transition(@duration:0.2s, @ease:ease-out) {
-webkit-transition: all @duration @ease;
-moz-transition: all @duration @ease;
-o-transition: all @duration @ease;
transition: all @duration @ease;
}
.inner-shadow(@horizontal:0, @vertical:1px, @blur:2px, @alpha: 0.4) {
-webkit-box-shadow: inset @horizontal @vertical @blur rgba(0, 0, 0, @alpha);
-moz-box-shadow: inset @horizontal @vertical @blur rgba(0, 0, 0, @alpha);
box-shadow: inset @horizontal @vertical @blur rgba(0, 0, 0, @alpha);
}
.box-shadow(@arguments) {
-webkit-box-shadow: @arguments;
-moz-box-shadow: @arguments;
box-shadow: @arguments;
}
.box-sizing(@sizing: border-box) {
-ms-box-sizing: @sizing;
-moz-box-sizing: @sizing;
-webkit-box-sizing: @sizing;
box-sizing: @sizing;
}
.user-select(@argument: none) {
-webkit-user-select: @argument;
-moz-user-select: @argument;
-ms-user-select: @argument;
user-select: @argument;
}
.columns(@colwidth: 250px, @colcount: 0, @colgap: 50px, @columnRuleColor: #EEE, @columnRuleStyle: solid, @columnRuleWidth: 1px) {
-moz-column-width: @colwidth;
-moz-column-count: @colcount;
-moz-column-gap: @colgap;
-moz-column-rule-color: @columnRuleColor;
-moz-column-rule-style: @columnRuleStyle;
-moz-column-rule-width: @columnRuleWidth;
-webkit-column-width: @colwidth;
-webkit-column-count: @colcount;
-webkit-column-gap: @colgap;
-webkit-column-rule-color: @columnRuleColor;
-webkit-column-rule-style: @columnRuleStyle;
-webkit-column-rule-width: @columnRuleWidth;
column-width: @colwidth;
column-count: @colcount;
column-gap: @colgap;
column-rule-color: @columnRuleColor;
column-rule-style: @columnRuleStyle;
column-rule-width: @columnRuleWidth;
}
.translate(@x:0, @y:0) {
.transform(translate(@x, @y));
}
.background-clip(@argument: padding-box) {
-moz-background-clip: @argument;
-webkit-background-clip: @argument;
background-clip: @argument;
}

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// http://meyerweb.com/eric/tools/css/reset/
// v2.0 | 20110126
// License: none (public domain)
html, body, div, span, applet, object, iframe,
h1, h2, h3, h4, h5, h6, p, blockquote, pre,
a, abbr, acronym, address, big, cite, code,
del, dfn, em, img, ins, kbd, q, s, samp,
small, strike, strong, sub, sup, tt, var,
b, u, i, center,
dl, dt, dd, ol, ul, li,
fieldset, form, label, legend,
table, caption, tbody, tfoot, thead, tr, th, td,
article, aside, canvas, details, embed,
figure, figcaption, footer, header, hgroup,
menu, nav, output, ruby, section, summary,
time, mark, audio, video {
margin: 0;
padding: 0;
border: 0;
vertical-align: baseline;
}
// HTML5 display-role reset for older browsers
article, aside, details, figcaption, figure,
footer, header, hgroup, menu, nav, section {
display: block;
}
body {
line-height: 1;
}
ol, ul {
list-style: none;
}
blockquote, q {
quotes: none;
}
blockquote:before, blockquote:after,
q:before, q:after {
content: '';
content: none;
}
table {
border-collapse: collapse;
border-spacing: 0;
}

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node_modules/gif.js/site/contents/tests/canvas.coffee generated vendored Normal file
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require '../scripts/vendor/mootools.js'
ready = require '../scripts/vendor/ready.js'
num_frames = 20
width = 600
height = 300
text = 'HYPNO TOAD'
textSize = 70
now = window.performance?.now?.bind(window.performance) or Date.now
rgb = (rgb...) -> "rgb(#{ rgb.map((v) -> Math.floor(v * 255)).join(',') })"
hsl = (hsl...) ->
hsl = hsl.map (v, i) -> if i is 0 then v * 360 else "#{ v * 100 }%"
return "hsl(#{ hsl.join(',') })"
ready ->
canvas = document.createElement 'canvas'
canvas.width = width
canvas.height = height
startTime = null
ctx = canvas.getContext '2d'
info = document.id 'info'
gif = new GIF
workers: 4
workerScript: '/gif.js/gif.worker.js'
width: width
height: height
gif.on 'start', -> startTime = now()
gif.on 'progress', (p) -> info.set 'text', Math.round(p * 100)+'%'
gif.on 'finished', (blob) ->
img = document.id 'result'
img.src = URL.createObjectURL(blob)
delta = now() - startTime
info.set 'text', """
100%
#{ (delta / 1000).toFixed 2 }sec
#{ (blob.size / 1000).toFixed 2 }kb
"""
ctx.font = "bold #{ textSize }px Helvetica"
ctx.textAlign = 'center'
ctx.textBaseline = 'middle'
ctx.lineWidth = 3
w2 = width / 2
h2 = height / 2
for i in [0...num_frames]
p = i / (num_frames - 1)
grad = ctx.createRadialGradient w2, h2, 0, w2, h2, w2
grad.addColorStop 0, hsl p, 1, 0.5
grad.addColorStop 1, hsl (p + 0.2) % 1, 1, 0.4
ctx.fillStyle = grad
ctx.fillRect 0, 0, width, height
ctx.fillStyle = hsl (p + 0.5) % 1, 1, 0.7
ctx.strokeStyle = hsl (p + 0.8) % 1, 1, 0.9
ctx.fillText text, w2, h2
ctx.strokeText text, w2, h2
gif.addFrame ctx, {copy: true, delay: 20}
gif.render()

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node_modules/gif.js/site/contents/tests/canvas.md generated vendored Normal file
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---
title: Canvas rendering
script: canvas.coffee
template: test.html
---
<p id="info">Loading...</p>
<img id="result">

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node_modules/gif.js/site/contents/tests/clip.mp4 generated vendored Normal file

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node_modules/gif.js/site/contents/tests/clip.ogv generated vendored Normal file

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70
node_modules/gif.js/site/contents/tests/video.coffee generated vendored Normal file
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require '../scripts/vendor/mootools.js'
ready = require '../scripts/vendor/ready.js'
now = window.performance?.now?.bind(window.performance) or Date.now
ready ->
info = document.id 'info'
video = document.id 'video'
button = document.id 'go'
sample = document.id 'sample'
gif = new GIF
workers: 4
workerScript: '/gif.js/gif.worker.js'
width: 600
height: 337
startTime = null
sampleInterval = null
sampleUpdate = ->
sampleInterval = parseInt sample.value
gif.abort()
document.id('info').set 'text', """
ready to start with a sample interval of #{ sampleInterval }ms
"""
video.addEventListener 'canplay', ->
button.disabled = false
sample.disabled = false
sampleUpdate()
sample.addEvent 'change', sampleUpdate
button.addEvent 'click', ->
video.pause()
video.currentTime = 0
gif.abort()
gif.frames = []
video.play()
gif.on 'start', -> startTime = now()
gif.on 'progress', (p) ->
info.set 'text', "rendering: #{ Math.round(p * 100) }%"
gif.on 'finished', (blob) ->
img = document.id 'result'
img.src = URL.createObjectURL(blob)
delta = now() - startTime
info.set 'text', """
done in
#{ (delta / 1000).toFixed 2 }sec,
size #{ (blob.size / 1000).toFixed 2 }kb
"""
# this might not be the best approach to capturing
# html video, but i but i can't seek since my dev server
# doesn't support http byte requests
timer = null
capture = ->
info.set 'html', "capturing at #{ video.currentTime }"
gif.addFrame video, {copy: true, delay: sampleInterval}
video.addEventListener 'play', ->
clearInterval timer
timer = setInterval capture, sampleInterval
video.addEventListener 'ended', ->
clearInterval timer
gif.render()

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node_modules/gif.js/site/contents/tests/video.md generated vendored Normal file
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---
title: Video to GIF
script: video.coffee
template: test.html
---
<p>
<input disabled id="sample" type="range" step="1" min="20" max="500" value="100">
<button id="go" disabled>Do it!</button>
</p>
<p id="info">Loading...</p>
<video id="video" width="600">
<source src="clip.mp4" type='video/mp4; codecs="avc1.42E01E, mp4a.40.'>
<source src="clip.ogv" type='video/ogg; codecs="theora, vorbis"'>
</video>
<img id="result">

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node_modules/gif.js/site/package.json generated vendored Normal file
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{
"private": true,
"dependencies": {
"wintersmith-browserify": "*",
"wintersmith-less": "*",
"wintersmith-nunjucks": "*",
"browsernizr": "*",
"async": "~0.2.8",
"highlight.js": "~7.3.0"
}
}

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node_modules/gif.js/site/plugins/jsignore.coffee generated vendored Normal file
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module.exports = (env, callback) ->
# hack to have browserify ignore the symlinked gif.js
env.registerContentPlugin 'files', 'gif.*js', env.plugins.StaticFile
callback()

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node_modules/gif.js/site/templates/index.html generated vendored Normal file
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{% extends 'layout.html' %}
{% block scripts %}
<script src="gif.js?v={{ version }}"></script>
<script src="scripts/main.js?v={{ version }}"></script>
{% endblock %}
{% block body %}
<h2>Usage</h2>
{{ contents['code.md'].html }}
<h2>Demo</h2>
<p>
GIF images are generated in the background using web workers. Hover the original and reference
tabs to see respective image.
</p>
<p>
Reference images are rendered with photoshop cs6 using the perceptual setting with no dither.
</p>
<div class="demo">
<div class="images">
<img class="render">
<img class="original" src="images/test/anim1.jpg">
<img class="original" src="images/test/anim2.jpg">
<img class="original" src="images/test/anim3.jpg">
<img class="original" src="images/test/anim4.jpg">
<img class="reference" src="images/test/anim-ref.gif">
</div>
<ul class="hover-buttons">
<li class="original">Original</li>
<li class="reference">Reference</li>
</ul>
<div class="controls">
<p class="quality">
<label>Quality</label>
<input type="range" step="1" min="1" max="30" value="20">
<span class="value">10</span>
</p>
<p class="delay">
<label>Delay</label>
<input type="range" step="1" min="0" max="1000" value="500">
<span class="value">500ms</span>
</p>
<p class="repeat">
<label>Repeat</label>
<input type="range" step="1" min="0" max="21" value="21">
<span class="value">forever</span>
</p>
<p class="dither">
<label>Dither</label>
<select>
<option selected>None</option>
<option>Atkinson</option>
<option>Atkinson-serpentine </option>
<option>FalseFloydSteinberg</option>
<option>FalseFloydSteinberg-serpentine</option>
<option>FloydSteinberg</option>
<option>FloydSteinberg-serpentine</option>
<option>Stucki</option>
<option>Stucki-serpentine</option>
</select>
</p>
<p class="info">
<pre>Loading...</pre>
</p>
</div>
</div>
<div class="demo">
<div class="images">
<img class="render">
<img class="original" src="images/test/test1-orig.jpg">
<img class="reference" src="images/test/test1-ref.gif">
</div>
<ul class="hover-buttons">
<li class="original">Original</li>
<li class="reference">Reference</li>
</ul>
<div class="controls">
<p class="quality">
<label>Quality</label>
<input type="range" step="1" min="1" max="30" value="20">
<span class="value">10</span>
</p>
<p class="dither">
<label>Dither</label>
<select>
<option selected>None</option>
<option>Atkinson</option>
<option>Atkinson-serpentine </option>
<option>FalseFloydSteinberg</option>
<option>FalseFloydSteinberg-serpentine</option>
<option>FloydSteinberg</option>
<option>FloydSteinberg-serpentine</option>
<option>Stucki</option>
<option>Stucki-serpentine</option>
</select>
</p>
<p class="info">
<pre>Loading...</pre>
</p>
</div>
</div>
<div class="demo">
<div class="images">
<img class="render">
<img class="original" src="images/test/test3-orig.png">
<img class="reference" src="images/test/test3-ref.gif">
</div>
<ul class="hover-buttons">
<li class="original">Original</li>
<li class="reference">Reference</li>
</ul>
<div class="controls">
<p class="quality">
<label>Quality</label>
<input type="range" step="1" min="1" max="30" value="20">
<span class="value">10</span>
</p>
<p class="dither">
<label>Dither</label>
<select>
<option selected>None</option>
<option>Atkinson</option>
<option>Atkinson-serpentine </option>
<option>FalseFloydSteinberg</option>
<option>FalseFloydSteinberg-serpentine</option>
<option>FloydSteinberg</option>
<option>FloydSteinberg-serpentine</option>
<option>Stucki</option>
<option>Stucki-serpentine</option>
</select>
</p>
<p class="info">
<pre>Loading...</pre>
</p>
</div>
</div>
<h2>Other tests</h2>
<ul>
{% for test in contents.tests._.pages %}
<li><a href="{{ test.url }}">{{ test.title }}</a></li>
{% endfor %}
</ul>
{% endblock %}

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node_modules/gif.js/site/templates/layout.html generated vendored Normal file
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<!DOCTYPE html>
<html class="no-js">
<head>
<meta charset="utf-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1">
<title>{{ name }}</title>
<meta name="description" content="{{ description }}">
<meta name="keywords" content="{{ keywords }}">
<meta name="viewport" content="width=device-width">
<meta property="og:title" content="{{ name }}">
<meta property="og:url" content="{{ url }}">
<meta property="og:description" content="{{ description }}">
<meta property="og:type" content="website">
<link rel="stylesheet" href="{{ env.config.baseUrl }}styles/main.css">
<script>
(function(i,s,o,g,r,a,m){i['GoogleAnalyticsObject']=r;i[r]=i[r]||function(){
(i[r].q=i[r].q||[]).push(arguments)},i[r].l=1*new Date();a=s.createElement(o),
m=s.getElementsByTagName(o)[0];a.async=1;a.src=g;m.parentNode.insertBefore(a,m)
})(window,document,'script','//www.google-analytics.com/analytics.js','ga');
ga('create', 'UA-41063995-1', 'jnordberg.github.io');
ga('send', 'pageview');
</script>
{% block scripts %}{% endblock %}
</head>
<body>
<header>
<h1>gif.js</h1>
<p>{{ description }}</p>
<p class="github"><a href="https://github.com/jnordberg/gif.js">Download &amp; Docs on GitHub</a></p>
</header>
<div class="wrap">
{% block body %}{% endblock %}
</div>
<footer>
<a href="https://creativecommons.org/licenses/by-sa/3.0/">&copy;&copy;</a> 2013
<a href="http://johan-nordberg.com/">Johan Nordberg</a>
</footer>
</body>
</html>

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node_modules/gif.js/site/templates/test.html generated vendored Normal file
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{% extends 'layout.html' %}
{% set script = contents.tests[page.metadata.script] %}
{% block scripts %}
<script src="{{ env.config.baseUrl }}gif.js?v={{ version }}"></script>
<script src="{{ script.url }}?v={{ version }}"></script>
{% endblock %}
{% block body %}
<h2>{{ page.title }}</h2>
<div class="test">
{{ page.html }}
</div>
<h2>Source</h2>
<pre class="src">
<code>{{ hljs.highlightAuto(script.source).value }}</code>
</pre>
{% endblock %}

554
node_modules/gif.js/src/GIFEncoder.js generated vendored Normal file
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/*
GIFEncoder.js
Authors
Kevin Weiner (original Java version - kweiner@fmsware.com)
Thibault Imbert (AS3 version - bytearray.org)
Johan Nordberg (JS version - code@johan-nordberg.com)
*/
var NeuQuant = require('./TypedNeuQuant.js');
var LZWEncoder = require('./LZWEncoder.js');
function ByteArray() {
this.page = -1;
this.pages = [];
this.newPage();
}
ByteArray.pageSize = 4096;
ByteArray.charMap = {};
for (var i = 0; i < 256; i++)
ByteArray.charMap[i] = String.fromCharCode(i);
ByteArray.prototype.newPage = function() {
this.pages[++this.page] = new Uint8Array(ByteArray.pageSize);
this.cursor = 0;
};
ByteArray.prototype.getData = function() {
var rv = '';
for (var p = 0; p < this.pages.length; p++) {
for (var i = 0; i < ByteArray.pageSize; i++) {
rv += ByteArray.charMap[this.pages[p][i]];
}
}
return rv;
};
ByteArray.prototype.writeByte = function(val) {
if (this.cursor >= ByteArray.pageSize) this.newPage();
this.pages[this.page][this.cursor++] = 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]);
};
function GIFEncoder(width, height) {
// image size
this.width = ~~width;
this.height = ~~height;
// transparent color if given
this.transparent = null;
// transparent index in color table
this.transIndex = 0;
// -1 = no repeat, 0 = forever. anything else is repeat count
this.repeat = -1;
// frame delay (hundredths)
this.delay = 0;
this.image = null; // current frame
this.pixels = null; // BGR byte array from frame
this.indexedPixels = null; // converted frame indexed to palette
this.colorDepth = null; // number of bit planes
this.colorTab = null; // RGB palette
this.neuQuant = null; // NeuQuant instance that was used to generate this.colorTab.
this.usedEntry = new Array(); // active palette entries
this.palSize = 7; // color table size (bits-1)
this.dispose = -1; // disposal code (-1 = use default)
this.firstFrame = true;
this.sample = 10; // default sample interval for quantizer
this.dither = false; // default dithering
this.globalPalette = false;
this.out = new ByteArray();
}
/*
Sets the delay time between each frame, or changes it for subsequent frames
(applies to last frame added)
*/
GIFEncoder.prototype.setDelay = function(milliseconds) {
this.delay = Math.round(milliseconds / 10);
};
/*
Sets frame rate in frames per second.
*/
GIFEncoder.prototype.setFrameRate = function(fps) {
this.delay = Math.round(100 / fps);
};
/*
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.
*/
GIFEncoder.prototype.setDispose = function(disposalCode) {
if (disposalCode >= 0) this.dispose = disposalCode;
};
/*
Sets the number of times the set of GIF frames should be played.
-1 = play once
0 = repeat indefinitely
Default is -1
Must be invoked before the first image is added
*/
GIFEncoder.prototype.setRepeat = function(repeat) {
this.repeat = repeat;
};
/*
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.
*/
GIFEncoder.prototype.setTransparent = function(color) {
this.transparent = color;
};
/*
Adds next GIF frame. The frame is not written immediately, but is
actually deferred until the next frame is received so that timing
data can be inserted. Invoking finish() flushes all frames.
*/
GIFEncoder.prototype.addFrame = function(imageData) {
this.image = imageData;
this.colorTab = this.globalPalette && this.globalPalette.slice ? this.globalPalette : null;
this.getImagePixels(); // convert to correct format if necessary
this.analyzePixels(); // build color table & map pixels
if (this.globalPalette === true) this.globalPalette = this.colorTab;
if (this.firstFrame) {
this.writeLSD(); // logical screen descriptior
this.writePalette(); // global color table
if (this.repeat >= 0) {
// use NS app extension to indicate reps
this.writeNetscapeExt();
}
}
this.writeGraphicCtrlExt(); // write graphic control extension
this.writeImageDesc(); // image descriptor
if (!this.firstFrame && !this.globalPalette) this.writePalette(); // local color table
this.writePixels(); // encode and write pixel data
this.firstFrame = false;
};
/*
Adds final trailer to the GIF stream, if you don't call the finish method
the GIF stream will not be valid.
*/
GIFEncoder.prototype.finish = function() {
this.out.writeByte(0x3b); // gif trailer
};
/*
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.
*/
GIFEncoder.prototype.setQuality = function(quality) {
if (quality < 1) quality = 1;
this.sample = quality;
};
/*
Sets dithering method. Available are:
- FALSE no dithering
- TRUE or FloydSteinberg
- FalseFloydSteinberg
- Stucki
- Atkinson
You can add '-serpentine' to use serpentine scanning
*/
GIFEncoder.prototype.setDither = function(dither) {
if (dither === true) dither = 'FloydSteinberg';
this.dither = dither;
};
/*
Sets global palette for all frames.
You can provide TRUE to create global palette from first picture.
Or an array of r,g,b,r,g,b,...
*/
GIFEncoder.prototype.setGlobalPalette = function(palette) {
this.globalPalette = palette;
};
/*
Returns global palette used for all frames.
If setGlobalPalette(true) was used, then this function will return
calculated palette after the first frame is added.
*/
GIFEncoder.prototype.getGlobalPalette = function() {
return (this.globalPalette && this.globalPalette.slice && this.globalPalette.slice(0)) || this.globalPalette;
};
/*
Writes GIF file header
*/
GIFEncoder.prototype.writeHeader = function() {
this.out.writeUTFBytes("GIF89a");
};
/*
Analyzes current frame colors and creates color map.
*/
GIFEncoder.prototype.analyzePixels = function() {
if (!this.colorTab) {
this.neuQuant = new NeuQuant(this.pixels, this.sample);
this.neuQuant.buildColormap(); // create reduced palette
this.colorTab = this.neuQuant.getColormap();
}
// map image pixels to new palette
if (this.dither) {
this.ditherPixels(this.dither.replace('-serpentine', ''), this.dither.match(/-serpentine/) !== null);
} else {
this.indexPixels();
}
this.pixels = null;
this.colorDepth = 8;
this.palSize = 7;
// get closest match to transparent color if specified
if (this.transparent !== null) {
this.transIndex = this.findClosest(this.transparent, true);
}
};
/*
Index pixels, without dithering
*/
GIFEncoder.prototype.indexPixels = function(imgq) {
var nPix = this.pixels.length / 3;
this.indexedPixels = new Uint8Array(nPix);
var k = 0;
for (var j = 0; j < nPix; j++) {
var index = this.findClosestRGB(
this.pixels[k++] & 0xff,
this.pixels[k++] & 0xff,
this.pixels[k++] & 0xff
);
this.usedEntry[index] = true;
this.indexedPixels[j] = index;
}
};
/*
Taken from http://jsbin.com/iXofIji/2/edit by PAEz
*/
GIFEncoder.prototype.ditherPixels = function(kernel, serpentine) {
var kernels = {
FalseFloydSteinberg: [
[3 / 8, 1, 0],
[3 / 8, 0, 1],
[2 / 8, 1, 1]
],
FloydSteinberg: [
[7 / 16, 1, 0],
[3 / 16, -1, 1],
[5 / 16, 0, 1],
[1 / 16, 1, 1]
],
Stucki: [
[8 / 42, 1, 0],
[4 / 42, 2, 0],
[2 / 42, -2, 1],
[4 / 42, -1, 1],
[8 / 42, 0, 1],
[4 / 42, 1, 1],
[2 / 42, 2, 1],
[1 / 42, -2, 2],
[2 / 42, -1, 2],
[4 / 42, 0, 2],
[2 / 42, 1, 2],
[1 / 42, 2, 2]
],
Atkinson: [
[1 / 8, 1, 0],
[1 / 8, 2, 0],
[1 / 8, -1, 1],
[1 / 8, 0, 1],
[1 / 8, 1, 1],
[1 / 8, 0, 2]
]
};
if (!kernel || !kernels[kernel]) {
throw 'Unknown dithering kernel: ' + kernel;
}
var ds = kernels[kernel];
var index = 0,
height = this.height,
width = this.width,
data = this.pixels;
var direction = serpentine ? -1 : 1;
this.indexedPixels = new Uint8Array(this.pixels.length / 3);
for (var y = 0; y < height; y++) {
if (serpentine) direction = direction * -1;
for (var x = (direction == 1 ? 0 : width - 1), xend = (direction == 1 ? width : 0); x !== xend; x += direction) {
index = (y * width) + x;
// Get original colour
var idx = index * 3;
var r1 = data[idx];
var g1 = data[idx + 1];
var b1 = data[idx + 2];
// Get converted colour
idx = this.findClosestRGB(r1, g1, b1);
this.usedEntry[idx] = true;
this.indexedPixels[index] = idx;
idx *= 3;
var r2 = this.colorTab[idx];
var g2 = this.colorTab[idx + 1];
var b2 = this.colorTab[idx + 2];
var er = r1 - r2;
var eg = g1 - g2;
var eb = b1 - b2;
for (var i = (direction == 1 ? 0: ds.length - 1), end = (direction == 1 ? ds.length : 0); i !== end; i += direction) {
var x1 = ds[i][1]; // *direction; // Should this by timesd by direction?..to make the kernel go in the opposite direction....got no idea....
var y1 = ds[i][2];
if (x1 + x >= 0 && x1 + x < width && y1 + y >= 0 && y1 + y < height) {
var d = ds[i][0];
idx = index + x1 + (y1 * width);
idx *= 3;
data[idx] = Math.max(0, Math.min(255, data[idx] + er * d));
data[idx + 1] = Math.max(0, Math.min(255, data[idx + 1] + eg * d));
data[idx + 2] = Math.max(0, Math.min(255, data[idx + 2] + eb * d));
}
}
}
}
};
/*
Returns index of palette color closest to c
*/
GIFEncoder.prototype.findClosest = function(c, used) {
return this.findClosestRGB((c & 0xFF0000) >> 16, (c & 0x00FF00) >> 8, (c & 0x0000FF), used);
};
GIFEncoder.prototype.findClosestRGB = function(r, g, b, used) {
if (this.colorTab === null) return -1;
if (this.neuQuant && !used) {
return this.neuQuant.lookupRGB(r, g, b);
}
var c = b | (g << 8) | (r << 16);
var minpos = 0;
var dmin = 256 * 256 * 256;
var len = this.colorTab.length;
for (var i = 0, index = 0; i < len; index++) {
var dr = r - (this.colorTab[i++] & 0xff);
var dg = g - (this.colorTab[i++] & 0xff);
var db = b - (this.colorTab[i++] & 0xff);
var d = dr * dr + dg * dg + db * db;
if ((!used || this.usedEntry[index]) && (d < dmin)) {
dmin = d;
minpos = index;
}
}
return minpos;
};
/*
Extracts image pixels into byte array pixels
(removes alphachannel from canvas imagedata)
*/
GIFEncoder.prototype.getImagePixels = function() {
var w = this.width;
var h = this.height;
this.pixels = new Uint8Array(w * h * 3);
var data = this.image;
var srcPos = 0;
var count = 0;
for (var i = 0; i < h; i++) {
for (var j = 0; j < w; j++) {
this.pixels[count++] = data[srcPos++];
this.pixels[count++] = data[srcPos++];
this.pixels[count++] = data[srcPos++];
srcPos++;
}
}
};
/*
Writes Graphic Control Extension
*/
GIFEncoder.prototype.writeGraphicCtrlExt = function() {
this.out.writeByte(0x21); // extension introducer
this.out.writeByte(0xf9); // GCE label
this.out.writeByte(4); // data block size
var transp, disp;
if (this.transparent === null) {
transp = 0;
disp = 0; // dispose = no action
} else {
transp = 1;
disp = 2; // force clear if using transparent color
}
if (this.dispose >= 0) {
disp = dispose & 7; // user override
}
disp <<= 2;
// packed fields
this.out.writeByte(
0 | // 1:3 reserved
disp | // 4:6 disposal
0 | // 7 user input - 0 = none
transp // 8 transparency flag
);
this.writeShort(this.delay); // delay x 1/100 sec
this.out.writeByte(this.transIndex); // transparent color index
this.out.writeByte(0); // block terminator
};
/*
Writes Image Descriptor
*/
GIFEncoder.prototype.writeImageDesc = function() {
this.out.writeByte(0x2c); // image separator
this.writeShort(0); // image position x,y = 0,0
this.writeShort(0);
this.writeShort(this.width); // image size
this.writeShort(this.height);
// packed fields
if (this.firstFrame || this.globalPalette) {
// no LCT - GCT is used for first (or only) frame
this.out.writeByte(0);
} else {
// specify normal LCT
this.out.writeByte(
0x80 | // 1 local color table 1=yes
0 | // 2 interlace - 0=no
0 | // 3 sorted - 0=no
0 | // 4-5 reserved
this.palSize // 6-8 size of color table
);
}
};
/*
Writes Logical Screen Descriptor
*/
GIFEncoder.prototype.writeLSD = function() {
// logical screen size
this.writeShort(this.width);
this.writeShort(this.height);
// packed fields
this.out.writeByte(
0x80 | // 1 : global color table flag = 1 (gct used)
0x70 | // 2-4 : color resolution = 7
0x00 | // 5 : gct sort flag = 0
this.palSize // 6-8 : gct size
);
this.out.writeByte(0); // background color index
this.out.writeByte(0); // pixel aspect ratio - assume 1:1
};
/*
Writes Netscape application extension to define repeat count.
*/
GIFEncoder.prototype.writeNetscapeExt = function() {
this.out.writeByte(0x21); // extension introducer
this.out.writeByte(0xff); // app extension label
this.out.writeByte(11); // block size
this.out.writeUTFBytes('NETSCAPE2.0'); // app id + auth code
this.out.writeByte(3); // sub-block size
this.out.writeByte(1); // loop sub-block id
this.writeShort(this.repeat); // loop count (extra iterations, 0=repeat forever)
this.out.writeByte(0); // block terminator
};
/*
Writes color table
*/
GIFEncoder.prototype.writePalette = function() {
this.out.writeBytes(this.colorTab);
var n = (3 * 256) - this.colorTab.length;
for (var i = 0; i < n; i++)
this.out.writeByte(0);
};
GIFEncoder.prototype.writeShort = function(pValue) {
this.out.writeByte(pValue & 0xFF);
this.out.writeByte((pValue >> 8) & 0xFF);
};
/*
Encodes and writes pixel data
*/
GIFEncoder.prototype.writePixels = function() {
var enc = new LZWEncoder(this.width, this.height, this.indexedPixels, this.colorDepth);
enc.encode(this.out);
};
/*
Retrieves the GIF stream
*/
GIFEncoder.prototype.stream = function() {
return this.out;
};
module.exports = GIFEncoder;

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/*
LZWEncoder.js
Authors
Kevin Weiner (original Java version - kweiner@fmsware.com)
Thibault Imbert (AS3 version - bytearray.org)
Johan Nordberg (JS version - code@johan-nordberg.com)
Acknowledgements
GIFCOMPR.C - GIF Image compression routines
Lempel-Ziv compression based on 'compress'. GIF modifications by
David Rowley (mgardi@watdcsu.waterloo.edu)
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 EOF = -1;
var BITS = 12;
var HSIZE = 5003; // 80% occupancy
var masks = [0x0000, 0x0001, 0x0003, 0x0007, 0x000F, 0x001F,
0x003F, 0x007F, 0x00FF, 0x01FF, 0x03FF, 0x07FF,
0x0FFF, 0x1FFF, 0x3FFF, 0x7FFF, 0xFFFF];
function LZWEncoder(width, height, pixels, colorDepth) {
var initCodeSize = Math.max(2, colorDepth);
var accum = new Uint8Array(256);
var htab = new Int32Array(HSIZE);
var codetab = new Int32Array(HSIZE);
var cur_accum, cur_bits = 0;
var a_count;
var free_ent = 0; // first unused entry
var maxcode;
// 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, ClearCode, EOFCode;
// Add a character to the end of the current packet, and if it is 254
// characters, flush the packet to disk.
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
function cl_block(outs) {
cl_hash(HSIZE);
free_ent = ClearCode + 2;
clear_flg = true;
output(ClearCode, outs);
}
// Reset code table
function cl_hash(hsize) {
for (var i = 0; i < hsize; ++i) htab[i] = -1;
}
function compress(init_bits, outs) {
var fcode, c, i, ent, disp, hsize_reg, 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 << BITS) + 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 < 1 << BITS) {
codetab[i] = free_ent++; // code -> hashtable
htab[i] = fcode;
} else {
cl_block(outs);
}
}
// Put out the final code.
output(ent, outs);
output(EOFCode, outs);
}
function encode(outs) {
outs.writeByte(initCodeSize); // write "initial code size" byte
remaining = width * height; // reset navigation variables
curPixel = 0;
compress(initCodeSize + 1, outs); // compress and write the pixel data
outs.writeByte(0); // write block terminator
}
// Flush the packet to disk, and reset the accumulator
function flush_char(outs) {
if (a_count > 0) {
outs.writeByte(a_count);
outs.writeBytes(accum, 0, a_count);
a_count = 0;
}
}
function MAXCODE(n_bits) {
return (1 << n_bits) - 1;
}
// Return the next pixel from the image
function nextPixel() {
if (remaining === 0) return EOF;
--remaining;
var pix = pixels[curPixel++];
return pix & 0xff;
}
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 == BITS) maxcode = 1 << BITS;
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);
}
}
this.encode = encode;
}
module.exports = LZWEncoder;

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/* 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.
* See also http://members.ozemail.com.au/~dekker/NEUQUANT.HTML
*
* 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.
*
* (JavaScript port 2012 by Johan Nordberg)
*/
function toInt(v) {
return ~~v;
}
var ncycles = 100; // number of learning cycles
var netsize = 256; // number of colors used
var maxnetpos = netsize - 1;
// defs for freq and bias
var netbiasshift = 4; // bias for colour values
var intbiasshift = 16; // bias for fractions
var intbias = (1 << intbiasshift);
var gammashift = 10;
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);
// 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);
/*
Constructor: NeuQuant
Arguments:
pixels - array of pixels in RGB format
samplefac - sampling factor 1 to 30 where lower is better quality
>
> pixels = [r, g, b, r, g, b, r, g, b, ..]
>
*/
function NeuQuant(pixels, samplefac) {
var network; // int[netsize][4]
var netindex; // for network lookup - really 256
// bias and freq arrays for learning
var bias;
var freq;
var radpower;
/*
Private Method: init
sets up arrays
*/
function init() {
network = [];
netindex = [];
bias = [];
freq = [];
radpower = [];
var i, v;
for (i = 0; i < netsize; i++) {
v = (i << (netbiasshift + 8)) / netsize;
network[i] = [v, v, v];
freq[i] = intbias / netsize;
bias[i] = 0;
}
}
/*
Private Method: unbiasnet
unbiases network to give byte values 0..255 and record position i to prepare for sort
*/
function unbiasnet() {
for (var i = 0; i < netsize; i++) {
network[i][0] >>= netbiasshift;
network[i][1] >>= netbiasshift;
network[i][2] >>= netbiasshift;
network[i][3] = i; // record color number
}
}
/*
Private Method: altersingle
moves neuron *i* towards biased (b,g,r) by factor *alpha*
*/
function altersingle(alpha, i, b, g, r) {
network[i][0] -= (alpha * (network[i][0] - b)) / initalpha;
network[i][1] -= (alpha * (network[i][1] - g)) / initalpha;
network[i][2] -= (alpha * (network[i][2] - r)) / initalpha;
}
/*
Private Method: alterneigh
moves neurons in *radius* around index *i* towards biased (b,g,r) by factor *alpha*
*/
function alterneigh(radius, i, b, g, r) {
var lo = Math.abs(i - radius);
var hi = Math.min(i + radius, netsize);
var j = i + 1;
var k = i - 1;
var m = 1;
var p, a;
while ((j < hi) || (k > lo)) {
a = radpower[m++];
if (j < hi) {
p = network[j++];
p[0] -= (a * (p[0] - b)) / alpharadbias;
p[1] -= (a * (p[1] - g)) / alpharadbias;
p[2] -= (a * (p[2] - r)) / alpharadbias;
}
if (k > lo) {
p = network[k--];
p[0] -= (a * (p[0] - b)) / alpharadbias;
p[1] -= (a * (p[1] - g)) / alpharadbias;
p[2] -= (a * (p[2] - r)) / alpharadbias;
}
}
}
/*
Private Method: contest
searches for biased BGR values
*/
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 bestd = ~(1 << 31);
var bestbiasd = bestd;
var bestpos = -1;
var bestbiaspos = bestpos;
var i, n, dist, biasdist, betafreq;
for (i = 0; i < netsize; i++) {
n = network[i];
dist = Math.abs(n[0] - b) + Math.abs(n[1] - g) + Math.abs(n[2] - r);
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;
}
/*
Private Method: inxbuild
sorts network and builds netindex[0..255]
*/
function inxbuild() {
var i, j, p, q, smallpos, smallval, 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
}
/*
Private Method: inxsearch
searches for BGR values 0..255 and returns a color index
*/
function inxsearch(b, g, r) {
var a, p, dist;
var bestd = 1000; // biggest possible dist is 256*3
var best = -1;
var i = netindex[g]; // index on g
var 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;
}
/*
Private Method: learn
"Main Learning Loop"
*/
function learn() {
var i;
var lengthcount = pixels.length;
var alphadec = toInt(30 + ((samplefac - 1) / 3));
var samplepixels = toInt(lengthcount / (3 * samplefac));
var delta = toInt(samplepixels / ncycles);
var alpha = initalpha;
var radius = initradius;
var rad = radius >> radiusbiasshift;
if (rad <= 1) rad = 0;
for (i = 0; i < rad; i++)
radpower[i] = toInt(alpha * (((rad * rad - i * i) * radbias) / (rad * rad)));
var step;
if (lengthcount < minpicturebytes) {
samplefac = 1;
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;
}
var b, g, r, j;
var pix = 0; // current pixel
i = 0;
while (i < samplepixels) {
b = (pixels[pix] & 0xff) << netbiasshift;
g = (pixels[pix + 1] & 0xff) << netbiasshift;
r = (pixels[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 >= lengthcount) 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] = toInt(alpha * (((rad * rad - j * j) * radbias) / (rad * rad)));
}
}
}
/*
Method: buildColormap
1. initializes network
2. trains it
3. removes misconceptions
4. builds colorindex
*/
function buildColormap() {
init();
learn();
unbiasnet();
inxbuild();
}
this.buildColormap = buildColormap;
/*
Method: getColormap
builds colormap from the index
returns array in the format:
>
> [r, g, b, r, g, b, r, g, b, ..]
>
*/
function getColormap() {
var map = [];
var index = [];
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;
}
this.getColormap = getColormap;
/*
Method: lookupRGB
looks for the closest *r*, *g*, *b* color in the map and
returns its index
*/
this.lookupRGB = inxsearch;
}
module.exports = NeuQuant;

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/* 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.
* See also http://members.ozemail.com.au/~dekker/NEUQUANT.HTML
*
* 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.
*
* (JavaScript port 2012 by Johan Nordberg)
*/
var ncycles = 100; // number of learning cycles
var netsize = 256; // number of colors used
var maxnetpos = netsize - 1;
// defs for freq and bias
var netbiasshift = 4; // bias for colour values
var intbiasshift = 16; // bias for fractions
var intbias = (1 << intbiasshift);
var gammashift = 10;
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);
// 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);
/*
Constructor: NeuQuant
Arguments:
pixels - array of pixels in RGB format
samplefac - sampling factor 1 to 30 where lower is better quality
>
> pixels = [r, g, b, r, g, b, r, g, b, ..]
>
*/
function NeuQuant(pixels, samplefac) {
var network; // int[netsize][4]
var netindex; // for network lookup - really 256
// bias and freq arrays for learning
var bias;
var freq;
var radpower;
/*
Private Method: init
sets up arrays
*/
function init() {
network = [];
netindex = new Int32Array(256);
bias = new Int32Array(netsize);
freq = new Int32Array(netsize);
radpower = new Int32Array(netsize >> 3);
var i, v;
for (i = 0; i < netsize; i++) {
v = (i << (netbiasshift + 8)) / netsize;
network[i] = new Float64Array([v, v, v, 0]);
//network[i] = [v, v, v, 0]
freq[i] = intbias / netsize;
bias[i] = 0;
}
}
/*
Private Method: unbiasnet
unbiases network to give byte values 0..255 and record position i to prepare for sort
*/
function unbiasnet() {
for (var i = 0; i < netsize; i++) {
network[i][0] >>= netbiasshift;
network[i][1] >>= netbiasshift;
network[i][2] >>= netbiasshift;
network[i][3] = i; // record color number
}
}
/*
Private Method: altersingle
moves neuron *i* towards biased (b,g,r) by factor *alpha*
*/
function altersingle(alpha, i, b, g, r) {
network[i][0] -= (alpha * (network[i][0] - b)) / initalpha;
network[i][1] -= (alpha * (network[i][1] - g)) / initalpha;
network[i][2] -= (alpha * (network[i][2] - r)) / initalpha;
}
/*
Private Method: alterneigh
moves neurons in *radius* around index *i* towards biased (b,g,r) by factor *alpha*
*/
function alterneigh(radius, i, b, g, r) {
var lo = Math.abs(i - radius);
var hi = Math.min(i + radius, netsize);
var j = i + 1;
var k = i - 1;
var m = 1;
var p, a;
while ((j < hi) || (k > lo)) {
a = radpower[m++];
if (j < hi) {
p = network[j++];
p[0] -= (a * (p[0] - b)) / alpharadbias;
p[1] -= (a * (p[1] - g)) / alpharadbias;
p[2] -= (a * (p[2] - r)) / alpharadbias;
}
if (k > lo) {
p = network[k--];
p[0] -= (a * (p[0] - b)) / alpharadbias;
p[1] -= (a * (p[1] - g)) / alpharadbias;
p[2] -= (a * (p[2] - r)) / alpharadbias;
}
}
}
/*
Private Method: contest
searches for biased BGR values
*/
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 bestd = ~(1 << 31);
var bestbiasd = bestd;
var bestpos = -1;
var bestbiaspos = bestpos;
var i, n, dist, biasdist, betafreq;
for (i = 0; i < netsize; i++) {
n = network[i];
dist = Math.abs(n[0] - b) + Math.abs(n[1] - g) + Math.abs(n[2] - r);
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;
}
/*
Private Method: inxbuild
sorts network and builds netindex[0..255]
*/
function inxbuild() {
var i, j, p, q, smallpos, smallval, 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
}
/*
Private Method: inxsearch
searches for BGR values 0..255 and returns a color index
*/
function inxsearch(b, g, r) {
var a, p, dist;
var bestd = 1000; // biggest possible dist is 256*3
var best = -1;
var i = netindex[g]; // index on g
var 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;
}
/*
Private Method: learn
"Main Learning Loop"
*/
function learn() {
var i;
var lengthcount = pixels.length;
var alphadec = 30 + ((samplefac - 1) / 3);
var samplepixels = lengthcount / (3 * samplefac);
var delta = ~~(samplepixels / ncycles);
var alpha = initalpha;
var radius = initradius;
var rad = radius >> radiusbiasshift;
if (rad <= 1) rad = 0;
for (i = 0; i < rad; i++)
radpower[i] = alpha * (((rad * rad - i * i) * radbias) / (rad * rad));
var step;
if (lengthcount < minpicturebytes) {
samplefac = 1;
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;
}
var b, g, r, j;
var pix = 0; // current pixel
i = 0;
while (i < samplepixels) {
b = (pixels[pix] & 0xff) << netbiasshift;
g = (pixels[pix + 1] & 0xff) << netbiasshift;
r = (pixels[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 >= lengthcount) 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));
}
}
}
/*
Method: buildColormap
1. initializes network
2. trains it
3. removes misconceptions
4. builds colorindex
*/
function buildColormap() {
init();
learn();
unbiasnet();
inxbuild();
}
this.buildColormap = buildColormap;
/*
Method: getColormap
builds colormap from the index
returns array in the format:
>
> [r, g, b, r, g, b, r, g, b, ..]
>
*/
function getColormap() {
var map = [];
var index = [];
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;
}
this.getColormap = getColormap;
/*
Method: lookupRGB
looks for the closest *r*, *g*, *b* color in the map and
returns its index
*/
this.lookupRGB = inxsearch;
}
module.exports = NeuQuant;

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{NeuQuant} = require './TypedNeuQuant.js'
###
typed 100 runs:
run finished at q1
avg: 661.46ms median: 660.54ms
run finished at q10
avg: 67.49ms median: 67.03ms
run finished at q20
avg: 34.56ms median: 34.19ms
normal 100 runs:
run finished at q1
avg: 888.10ms median: 887.63ms
run finished at q10
avg: 92.85ms median: 91.99ms
run finished at q20
avg: 46.14ms median: 45.68ms
###
quality = 10 # pixel sample interval, 1 being the best quality
runs = 100
if window.performance?.now?
now = -> window.performance.now()
else
now = Date.now
window.addEventListener 'load', ->
img = document.getElementById 'image'
canvas = document.getElementById 'canvas'
w = canvas.width = img.width
h = canvas.height = img.height
ctx = canvas.getContext('2d')
ctx.drawImage(img, 0, 0)
imdata = ctx.getImageData(0, 0, img.width, img.height)
rgba = imdata.data
rgb = new Uint8Array w * h * 3
#rgb = new Array w * h * 3
rgb_idx = 0
for i in [0...rgba.length] by 4
rgb[rgb_idx++] = rgba[i + 0]
rgb[rgb_idx++] = rgba[i + 1]
rgb[rgb_idx++] = rgba[i + 2]
runtimes = []
for run in [0...runs]
start = now()
imgq = new NeuQuant rgb, quality
imgq.buildColormap()
end = now()
delta = end - start
runtimes.push delta
console.log runtimes.join('\n')
map = imgq.getColormap()
avg = runtimes.reduce((p, n) -> p + n) / runtimes.length
median = runtimes.sort()[Math.floor(runs / 2)]
console.log """
run finished at q#{ quality }
avg: #{ avg.toFixed(2) }ms median: #{ median.toFixed(2) }ms
"""
for y in [0...h]
for x in [0...w]
idx = (y * w + x) * 4
r = rgba[idx + 0]
g = rgba[idx + 1]
b = rgba[idx + 2]
map_idx = imgq.lookupRGB(r, g, b) * 3
rgba[idx + 0] = map[map_idx]
rgba[idx + 1] = map[map_idx + 1]
rgba[idx + 2] = map[map_idx + 2]
ctx.putImageData imdata, 0, 0
for i in [0...map.length] by 3
color = [map[i], map[i + 1], map[i + 2]]
el = document.createElement 'span'
el.style.display = 'inline-block'
el.style.height = '1em'
el.style.width = '1em'
el.style.background = 'rgb(' + color.join(',') + ')'
document.body.appendChild el

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### CoffeeScript version of the browser detection from MooTools ###
ua = navigator.userAgent.toLowerCase()
platform = navigator.platform.toLowerCase()
UA = ua.match(/(opera|ie|firefox|chrome|version)[\s\/:]([\w\d\.]+)?.*?(safari|version[\s\/:]([\w\d\.]+)|$)/) or [null, 'unknown', 0]
mode = UA[1] == 'ie' && document.documentMode
browser =
name: if UA[1] is 'version' then UA[3] else UA[1]
version: mode or parseFloat(if UA[1] is 'opera' && UA[4] then UA[4] else UA[2])
platform:
name: if ua.match(/ip(?:ad|od|hone)/) then 'ios' else (ua.match(/(?:webos|android)/) or platform.match(/mac|win|linux/) or ['other'])[0]
browser[browser.name] = true
browser[browser.name + parseInt(browser.version, 10)] = true
browser.platform[browser.platform.name] = true
module.exports = browser

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{EventEmitter} = require 'events'
browser = require './browser.coffee'
class GIF extends EventEmitter
defaults =
workerScript: 'gif.worker.js'
workers: 2
repeat: 0 # repeat forever, -1 = repeat once
background: '#fff'
quality: 10 # pixel sample interval, lower is better
width: null # size derermined from first frame if possible
height: null
transparent: null
debug: false
dither: false # see GIFEncoder.js for dithering options
frameDefaults =
delay: 500 # ms
copy: false
constructor: (options) ->
@running = false
@options = {}
@frames = []
@freeWorkers = []
@activeWorkers = []
@setOptions options
for key, value of defaults
@options[key] ?= value
setOption: (key, value) ->
@options[key] = value
if @_canvas? and key in ['width', 'height']
@_canvas[key] = value
setOptions: (options) ->
@setOption key, value for own key, value of options
addFrame: (image, options={}) ->
frame = {}
frame.transparent = @options.transparent
for key of frameDefaults
frame[key] = options[key] or frameDefaults[key]
# use the images width and height for options unless already set
@setOption 'width', image.width unless @options.width?
@setOption 'height', image.height unless @options.height?
if ImageData? and image instanceof ImageData
frame.data = image.data
else if (CanvasRenderingContext2D? and image instanceof CanvasRenderingContext2D) or (WebGLRenderingContext? and image instanceof WebGLRenderingContext)
if options.copy
frame.data = @getContextData image
else
frame.context = image
else if image.childNodes?
if options.copy
frame.data = @getImageData image
else
frame.image = image
else
throw new Error 'Invalid image'
@frames.push frame
render: ->
throw new Error 'Already running' if @running
if not @options.width? or not @options.height?
throw new Error 'Width and height must be set prior to rendering'
@running = true
@nextFrame = 0
@finishedFrames = 0
@imageParts = (null for i in [0...@frames.length])
numWorkers = @spawnWorkers()
# we need to wait for the palette
if @options.globalPalette == true
@renderNextFrame()
else
@renderNextFrame() for i in [0...numWorkers]
@emit 'start'
@emit 'progress', 0
abort: ->
loop
worker = @activeWorkers.shift()
break unless worker?
@log 'killing active worker'
worker.terminate()
@running = false
@emit 'abort'
# private
spawnWorkers: ->
numWorkers = Math.min(@options.workers, @frames.length)
[@freeWorkers.length...numWorkers].forEach (i) =>
@log "spawning worker #{ i }"
worker = new Worker @options.workerScript
worker.onmessage = (event) =>
@activeWorkers.splice @activeWorkers.indexOf(worker), 1
@freeWorkers.push worker
@frameFinished event.data
@freeWorkers.push worker
return numWorkers
frameFinished: (frame) ->
@log "frame #{ frame.index } finished - #{ @activeWorkers.length } active"
@finishedFrames++
@emit 'progress', @finishedFrames / @frames.length
@imageParts[frame.index] = frame
# remember calculated palette, spawn the rest of the workers
if @options.globalPalette == true
@options.globalPalette = frame.globalPalette
@log 'global palette analyzed'
@renderNextFrame() for i in [1...@freeWorkers.length] if @frames.length > 2
if null in @imageParts
@renderNextFrame()
else
@finishRendering()
finishRendering: ->
len = 0
for frame in @imageParts
len += (frame.data.length - 1) * frame.pageSize + frame.cursor
len += frame.pageSize - frame.cursor
@log "rendering finished - filesize #{ Math.round(len / 1000) }kb"
data = new Uint8Array len
offset = 0
for frame in @imageParts
for page, i in frame.data
data.set page, offset
if i is frame.data.length - 1
offset += frame.cursor
else
offset += frame.pageSize
image = new Blob [data],
type: 'image/gif'
@emit 'finished', image, data
renderNextFrame: ->
throw new Error 'No free workers' if @freeWorkers.length is 0
return if @nextFrame >= @frames.length # no new frame to render
frame = @frames[@nextFrame++]
worker = @freeWorkers.shift()
task = @getTask frame
@log "starting frame #{ task.index + 1 } of #{ @frames.length }"
@activeWorkers.push worker
worker.postMessage task#, [task.data.buffer]
getContextData: (ctx) ->
return ctx.getImageData(0, 0, @options.width, @options.height).data
getImageData: (image) ->
if not @_canvas?
@_canvas = document.createElement 'canvas'
@_canvas.width = @options.width
@_canvas.height = @options.height
ctx = @_canvas.getContext '2d'
ctx.setFill = @options.background
ctx.fillRect 0, 0, @options.width, @options.height
ctx.drawImage image, 0, 0
return @getContextData ctx
getTask: (frame) ->
index = @frames.indexOf frame
task =
index: index
last: index is (@frames.length - 1)
delay: frame.delay
transparent: frame.transparent
width: @options.width
height: @options.height
quality: @options.quality
dither: @options.dither
globalPalette: @options.globalPalette
repeat: @options.repeat
canTransfer: (browser.name is 'chrome')
if frame.data?
task.data = frame.data
else if frame.context?
task.data = @getContextData frame.context
else if frame.image?
task.data = @getImageData frame.image
else
throw new Error 'Invalid frame'
return task
log: (args...) ->
return unless @options.debug
console.log args...
module.exports = GIF

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GIFEncoder = require './GIFEncoder.js'
renderFrame = (frame) ->
encoder = new GIFEncoder frame.width, frame.height
if frame.index is 0
encoder.writeHeader()
else
encoder.firstFrame = false
encoder.setTransparent frame.transparent
encoder.setRepeat frame.repeat
encoder.setDelay frame.delay
encoder.setQuality frame.quality
encoder.setDither frame.dither
encoder.setGlobalPalette frame.globalPalette
encoder.addFrame frame.data
encoder.finish() if frame.last
if frame.globalPalette == true
frame.globalPalette = encoder.getGlobalPalette()
stream = encoder.stream()
frame.data = stream.pages
frame.cursor = stream.cursor
frame.pageSize = stream.constructor.pageSize
if frame.canTransfer
transfer = (page.buffer for page in frame.data)
self.postMessage frame, transfer
else
self.postMessage frame
self.onmessage = (event) -> renderFrame event.data