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Here you can Sed posuere consectetur est at lobortis. Donec ullamcorper nulla non metus auctor fringilla. Maecenas sed diam eget risus varius blandit sit amet non magna. Donec id elit non mi porta gravida at eget metus. Praesent commodo cursus magna, vel scelerisque nisl consectetur et.

            
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@mattdesl


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" />
            
          
!
            
              (function e(t,n,r){function s(o,u){if(!n[o]){if(!t[o]){var a=typeof require=="function"&&require;if(!u&&a)return a(o,!0);if(i)return i(o,!0);throw new Error("Cannot find module '"+o+"'")}var f=n[o]={exports:{}};t[o][0].call(f.exports,function(e){var n=t[o][1][e];return s(n?n:e)},f,f.exports,e,t,n,r)}return n[o].exports}var i=typeof require=="function"&&require;for(var o=0;o<r.length;o++)s(r[o]);return s})({1:[function(require,module,exports){

var domready = require('domready');
var stackblur = require('stackblur');

domready(function() {
    var canvas = document.createElement("canvas"),
        mask = document.createElement("canvas");
    document.body.appendChild(canvas);

    var context = canvas.getContext("2d"),
        maskContext = mask.getContext("2d");

    //If we weren't using base 64, we could use a big image that fills the screen
    var width = 500, 
        height = 313;

    
 
    mask.width = canvas.width = width;
    mask.height = canvas.height = height;

    document.body.style.background = "black";
    document.body.style.margin = "0";
    document.body.style.overflow = "hidden";

    var blurred;

    var img = getImage();

    var time = 0;

    var imgWidth, imgHeight;

    var tweener = {
        clip: 0,
        y: 0
    };

    var motion = {
        x: 0, y: 0
    };

    window.addEventListener("resize", function() {
        // mask.width = canvas.width = width = window.innerWidth;
        // mask.height = canvas.height = height = 400;
    }, false);

    window.addEventListener("mousemove", function(ev) {
        TweenLite.to(motion, 0.5, {
            ease: Strong.easeOut,
            x: imgWidth/2 - ev.clientX,
            y: imgHeight/2 - ev.clientY,
            overwrite: 1
        });
    }, false);

    

    function createBlur() {
        var radius = 20;
        blurred = document.createElement("canvas");
        blurred.width = imgWidth;
        blurred.height = imgHeight;
        var blurredContext = blurred.getContext("2d");

        blurredContext.drawImage(img, 0, 0);
        var imgData = blurredContext.getImageData(0, 0, imgWidth, imgHeight);
        var pixels = imgData.data;

        stackblur.blur(pixels, imgWidth, imgHeight, radius);
        stackblur.blur(pixels, imgWidth, imgHeight, radius);

        blurredContext.putImageData(imgData, 0, 0);
    }

    function animate(delay) {
        delay=delay||0;

        TweenLite.fromTo(tweener, 1.0, {
            clip: 1,
        }, {
            clip: 0,
            delay: delay+0.5,
            ease: Strong.easeOut 
        });

        TweenLite.fromTo(tweener, 2.0, {
            y: height,
        }, {
            y: 0,
            delay: delay+1.25,
            ease: Strong.easeOut
        });

        TweenLite.to(tweener, 0.75, {
            y: height,
            clip: 1,
            delay: delay+5,
            ease: Strong.easeOut,
            onComplete: animate.bind(this, 2.0)
        });
    }

    //usually we would just pipe start() function into the image's load listener...
    //codepen workarounds make this kinda tricky though
    var started = false;
    requestAnimationFrame(render);

    function start() {
        started = true;
        imgWidth = img.width;
        imgHeight = img.height;
        
        createBlur();
        animate();

        render();
    }



    function render() {
        //not loaded
        if (!started && img.width !== 0) {
            start();
        }
        time += 0.01;


        var aspect = imgWidth/imgHeight;
        var dstHeight = width / aspect;

        requestAnimationFrame(render);

        context.clearRect(0, 0, width, height);

        
        context.drawImage(blurred, 0, 0, width, dstHeight);


        maskContext.clearRect(0, 0, width, height);
        maskContext.fillStyle = 'white';
        maskContext.globalCompositeOperation = 'source-over';

        var fontSize = 200;
        maskContext.font = "bold "+fontSize+"px 'Arial Black', 'Helvetica', sans-serif";
        maskContext.textBaseline = "middle";
        maskContext.textAlign = "center";

        var parallax = -0.05;
        var hoff = Math.min(height/2, dstHeight/2);
        maskContext.fillText("NYC", width/2 + motion.x*parallax, tweener.y + hoff + motion.y*parallax);

        maskContext.fillRect(0, 0, width, tweener.clip * dstHeight);

        maskContext.globalCompositeOperation = 'source-in';
        maskContext.drawImage(img, 0, 0, width, dstHeight);

        context.drawImage(mask, 0, 0, width, height);
    }

});

function getImage(onload) {
    return document.getElementById("image");
}
},{"domready":2,"stackblur":3}],2:[function(require,module,exports){
/*!
  * domready (c) Dustin Diaz 2014 - License MIT
  */
!function (name, definition) {

  if (typeof module != 'undefined') module.exports = definition()
  else if (typeof define == 'function' && typeof define.amd == 'object') define(definition)
  else this[name] = definition()

}('domready', function () {

  var fns = [], listener
    , doc = document
    , domContentLoaded = 'DOMContentLoaded'
    , loaded = /^loaded|^i|^c/.test(doc.readyState)

  if (!loaded)
  doc.addEventListener(domContentLoaded, listener = function () {
    doc.removeEventListener(domContentLoaded, listener)
    loaded = 1
    while (listener = fns.shift()) listener()
  })

  return function (fn) {
    loaded ? fn() : fns.push(fn)
  }

});

},{}],3:[function(require,module,exports){
/*

StackBlur - a fast almost Gaussian Blur For Canvas

Version: 	0.5
Author:		Mario Klingemann
Contact: 	mario@quasimondo.com
Website:	http://www.quasimondo.com/StackBlurForCanvas
Twitter:	@quasimondo

In case you find this class useful - especially in commercial projects -
I am not totally unhappy for a small donation to my PayPal account
mario@quasimondo.de

Or support me on flattr: 
https://flattr.com/thing/72791/StackBlur-a-fast-almost-Gaussian-Blur-Effect-for-CanvasJavascript

Copyright (c) 2010 Mario Klingemann

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.
*/

var mul_table = [
        512,512,456,512,328,456,335,512,405,328,271,456,388,335,292,512,
        454,405,364,328,298,271,496,456,420,388,360,335,312,292,273,512,
        482,454,428,405,383,364,345,328,312,298,284,271,259,496,475,456,
        437,420,404,388,374,360,347,335,323,312,302,292,282,273,265,512,
        497,482,468,454,441,428,417,405,394,383,373,364,354,345,337,328,
        320,312,305,298,291,284,278,271,265,259,507,496,485,475,465,456,
        446,437,428,420,412,404,396,388,381,374,367,360,354,347,341,335,
        329,323,318,312,307,302,297,292,287,282,278,273,269,265,261,512,
        505,497,489,482,475,468,461,454,447,441,435,428,422,417,411,405,
        399,394,389,383,378,373,368,364,359,354,350,345,341,337,332,328,
        324,320,316,312,309,305,301,298,294,291,287,284,281,278,274,271,
        268,265,262,259,257,507,501,496,491,485,480,475,470,465,460,456,
        451,446,442,437,433,428,424,420,416,412,408,404,400,396,392,388,
        385,381,377,374,370,367,363,360,357,354,350,347,344,341,338,335,
        332,329,326,323,320,318,315,312,310,307,304,302,299,297,294,292,
        289,287,285,282,280,278,275,273,271,269,267,265,263,261,259];
        
   
var shg_table = [
	     9, 11, 12, 13, 13, 14, 14, 15, 15, 15, 15, 16, 16, 16, 16, 17, 
		17, 17, 17, 17, 17, 17, 18, 18, 18, 18, 18, 18, 18, 18, 18, 19, 
		19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 20, 20, 20,
		20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 21,
		21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21,
		21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 22, 22, 22, 22, 22, 22, 
		22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22,
		22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 23, 
		23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23,
		23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23,
		23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 
		23, 23, 23, 23, 23, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 
		24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24,
		24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24,
		24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24,
		24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24 ];

function blur( pixels, width, height, radius )
{
	if ( isNaN(radius) || radius < 1 ) return;
	radius |= 0;

	var x, y, i, p, yp, yi, yw, r_sum, g_sum, b_sum, a_sum, 
	r_out_sum, g_out_sum, b_out_sum, a_out_sum,
	r_in_sum, g_in_sum, b_in_sum, a_in_sum, 
	pr, pg, pb, pa, rbs;
			
	var div = radius + radius + 1;
	var w4 = width << 2;
	var widthMinus1  = width - 1;
	var heightMinus1 = height - 1;
	var radiusPlus1  = radius + 1;
	var sumFactor = radiusPlus1 * ( radiusPlus1 + 1 ) / 2;
	
	var stackStart = new BlurStack();
	var stack = stackStart;
	for ( i = 1; i < div; i++ )
	{
		stack = stack.next = new BlurStack();
		if ( i == radiusPlus1 ) var stackEnd = stack;
	}
	stack.next = stackStart;
	var stackIn = null;
	var stackOut = null;
	
	yw = yi = 0;
	
	var mul_sum = mul_table[radius];
	var shg_sum = shg_table[radius];
	
	for ( y = 0; y < height; y++ )
	{
		r_in_sum = g_in_sum = b_in_sum = a_in_sum = r_sum = g_sum = b_sum = a_sum = 0;
		
		r_out_sum = radiusPlus1 * ( pr = pixels[yi] );
		g_out_sum = radiusPlus1 * ( pg = pixels[yi+1] );
		b_out_sum = radiusPlus1 * ( pb = pixels[yi+2] );
		a_out_sum = radiusPlus1 * ( pa = pixels[yi+3] );
		
		r_sum += sumFactor * pr;
		g_sum += sumFactor * pg;
		b_sum += sumFactor * pb;
		a_sum += sumFactor * pa;
		
		stack = stackStart;
		
		for( i = 0; i < radiusPlus1; i++ )
		{
			stack.r = pr;
			stack.g = pg;
			stack.b = pb;
			stack.a = pa;
			stack = stack.next;
		}
		
		for( i = 1; i < radiusPlus1; i++ )
		{
			p = yi + (( widthMinus1 < i ? widthMinus1 : i ) << 2 );
			r_sum += ( stack.r = ( pr = pixels[p])) * ( rbs = radiusPlus1 - i );
			g_sum += ( stack.g = ( pg = pixels[p+1])) * rbs;
			b_sum += ( stack.b = ( pb = pixels[p+2])) * rbs;
			a_sum += ( stack.a = ( pa = pixels[p+3])) * rbs;
			
			r_in_sum += pr;
			g_in_sum += pg;
			b_in_sum += pb;
			a_in_sum += pa;
			
			stack = stack.next;
		}
		
		
		stackIn = stackStart;
		stackOut = stackEnd;
		for ( x = 0; x < width; x++ )
		{
			pixels[yi+3] = pa = (a_sum * mul_sum) >> shg_sum;
			if ( pa != 0 )
			{
				pa = 255 / pa;
				pixels[yi]   = ((r_sum * mul_sum) >> shg_sum) * pa;
				pixels[yi+1] = ((g_sum * mul_sum) >> shg_sum) * pa;
				pixels[yi+2] = ((b_sum * mul_sum) >> shg_sum) * pa;
			} else {
				pixels[yi] = pixels[yi+1] = pixels[yi+2] = 0;
			}
			
			r_sum -= r_out_sum;
			g_sum -= g_out_sum;
			b_sum -= b_out_sum;
			a_sum -= a_out_sum;
			
			r_out_sum -= stackIn.r;
			g_out_sum -= stackIn.g;
			b_out_sum -= stackIn.b;
			a_out_sum -= stackIn.a;
			
			p =  ( yw + ( ( p = x + radius + 1 ) < widthMinus1 ? p : widthMinus1 ) ) << 2;
			
			r_in_sum += ( stackIn.r = pixels[p]);
			g_in_sum += ( stackIn.g = pixels[p+1]);
			b_in_sum += ( stackIn.b = pixels[p+2]);
			a_in_sum += ( stackIn.a = pixels[p+3]);
			
			r_sum += r_in_sum;
			g_sum += g_in_sum;
			b_sum += b_in_sum;
			a_sum += a_in_sum;
			
			stackIn = stackIn.next;
			
			r_out_sum += ( pr = stackOut.r );
			g_out_sum += ( pg = stackOut.g );
			b_out_sum += ( pb = stackOut.b );
			a_out_sum += ( pa = stackOut.a );
			
			r_in_sum -= pr;
			g_in_sum -= pg;
			b_in_sum -= pb;
			a_in_sum -= pa;
			
			stackOut = stackOut.next;

			yi += 4;
		}
		yw += width;
	}

	
	for ( x = 0; x < width; x++ )
	{
		g_in_sum = b_in_sum = a_in_sum = r_in_sum = g_sum = b_sum = a_sum = r_sum = 0;
		
		yi = x << 2;
		r_out_sum = radiusPlus1 * ( pr = pixels[yi]);
		g_out_sum = radiusPlus1 * ( pg = pixels[yi+1]);
		b_out_sum = radiusPlus1 * ( pb = pixels[yi+2]);
		a_out_sum = radiusPlus1 * ( pa = pixels[yi+3]);
		
		r_sum += sumFactor * pr;
		g_sum += sumFactor * pg;
		b_sum += sumFactor * pb;
		a_sum += sumFactor * pa;
		
		stack = stackStart;
		
		for( i = 0; i < radiusPlus1; i++ )
		{
			stack.r = pr;
			stack.g = pg;
			stack.b = pb;
			stack.a = pa;
			stack = stack.next;
		}
		
		yp = width;
		
		for( i = 1; i <= radius; i++ )
		{
			yi = ( yp + x ) << 2;
			
			r_sum += ( stack.r = ( pr = pixels[yi])) * ( rbs = radiusPlus1 - i );
			g_sum += ( stack.g = ( pg = pixels[yi+1])) * rbs;
			b_sum += ( stack.b = ( pb = pixels[yi+2])) * rbs;
			a_sum += ( stack.a = ( pa = pixels[yi+3])) * rbs;
		   
			r_in_sum += pr;
			g_in_sum += pg;
			b_in_sum += pb;
			a_in_sum += pa;
			
			stack = stack.next;
		
			if( i < heightMinus1 )
			{
				yp += width;
			}
		}
		
		yi = x;
		stackIn = stackStart;
		stackOut = stackEnd;
		for ( y = 0; y < height; y++ )
		{
			p = yi << 2;
			pixels[p+3] = pa = (a_sum * mul_sum) >> shg_sum;
			if ( pa > 0 )
			{
				pa = 255 / pa;
				pixels[p]   = ((r_sum * mul_sum) >> shg_sum ) * pa;
				pixels[p+1] = ((g_sum * mul_sum) >> shg_sum ) * pa;
				pixels[p+2] = ((b_sum * mul_sum) >> shg_sum ) * pa;
			} else {
				pixels[p] = pixels[p+1] = pixels[p+2] = 0;
			}
			
			r_sum -= r_out_sum;
			g_sum -= g_out_sum;
			b_sum -= b_out_sum;
			a_sum -= a_out_sum;
		   
			r_out_sum -= stackIn.r;
			g_out_sum -= stackIn.g;
			b_out_sum -= stackIn.b;
			a_out_sum -= stackIn.a;
			
			p = ( x + (( ( p = y + radiusPlus1) < heightMinus1 ? p : heightMinus1 ) * width )) << 2;
			
			r_sum += ( r_in_sum += ( stackIn.r = pixels[p]));
			g_sum += ( g_in_sum += ( stackIn.g = pixels[p+1]));
			b_sum += ( b_in_sum += ( stackIn.b = pixels[p+2]));
			a_sum += ( a_in_sum += ( stackIn.a = pixels[p+3]));
		   
			stackIn = stackIn.next;
			
			r_out_sum += ( pr = stackOut.r );
			g_out_sum += ( pg = stackOut.g );
			b_out_sum += ( pb = stackOut.b );
			a_out_sum += ( pa = stackOut.a );
			
			r_in_sum -= pr;
			g_in_sum -= pg;
			b_in_sum -= pb;
			a_in_sum -= pa;
			
			stackOut = stackOut.next;
			
			yi += width;
		}
	}
}

function BlurStack()
{
	this.r = 0;
	this.g = 0;
	this.b = 0;
	this.a = 0;
	this.next = null;
}

function createBlurredCanvas(img, radius, padding) {
	var w = img.width,
		h = img.height;

	padding = (padding===0||padding) ? padding : radius;
	w += padding;
	h += padding;

	var canvas = document.createElement("canvas");
	canvas.width = w;
	canvas.height = h;
	var context = canvas.getContext("2d");

	context.drawImage(img, padding/2, padding/2);
	var imgData = context.getImageData(0, 0, w, h);
	var pixels = imgData.data;

	blur(pixels, w, h, radius);

	context.putImageData(imgData, 0, 0);
	return canvas;
}

module.exports = {
	blur: blur,
	createBlurredCanvas: createBlurredCanvas
};
},{}]},{},[1])
            
          
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