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Dead Code Preservation :: Archived AS3 works from wonderfl.net

forked from: Mosaic of Tweener

Tweener にスペシャルプロパティを追加してモザイク処理。
カーソルをのせるとモザイクがかかります。
Progression の DoTweener とかでも使えます。

使い方&ソース http://a24log.weblike.jp/?p=440
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by aruerula 12 Nov 2010
/**
 * Copyright aruerula ( http://wonderfl.net/user/aruerula )
 * MIT License ( http://www.opensource.org/licenses/mit-license.php )
 * Downloaded from: http://wonderfl.net/c/hHEm
 */

// forked from a24's Mosaic of Tweener
//
// Tweener にスペシャルプロパティを追加してモザイク処理。
// カーソルをのせるとモザイクがかかります。
// Progression の DoTweener とかでも使えます。
// 
// 使い方&ソース http://a24log.weblike.jp/?p=440
//

package  
{
    import flash.display.MovieClip;
    import flash.display.DisplayObjectContainer;
    import flash.display.Sprite;
    import flash.events.MouseEvent;
    import flash.geom.Point;
    import caurina.transitions.Tweener;
    
    public class Index extends Sprite
    {
        private const _data:String = "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"
        
        public function Index()
        {
            MosaicShortcuts.init();
            
            SmartGradient.beginLinearGradientFill( this , [ 0xFFFFFF , 0xD0D0D0 ] , [ 1 , 1 ] , [ 0 , 255 ] , new Point( 0 , 0 ) , new Point( 0 , 465 ) );
            this.graphics.drawRect( 0 , 0 , 465 , 465 );
            
            var _img:DisplayObjectContainer = Base64ImageLoader.load( _data );
            var _sp:Sprite = new Sprite();
            _sp.buttonMode = true;
            _sp.x = 150;
            _sp.y = 50;
            _sp.addChild( _img );
            addChild( _sp );
            
            _sp.addEventListener( MouseEvent.MOUSE_OVER , function():void
            {
                Tweener.addTween( _sp , { _mosaic : 16 , time : 0.4 , transition : "linear" } );
            } );
            
            _sp.addEventListener( MouseEvent.MOUSE_OUT , function():void
            {
                Tweener.addTween( _sp , { _mosaic : 1 , time : 0.4 , transition : "linear" } );
            } );
        }
    }
}








class MosaicShortcuts
{
    import flash.display.DisplayObject;
    import flash.display.MovieClip;
    import flash.display.Sprite;
    import flash.display.Bitmap;
    import flash.display.BitmapData;
    import flash.geom.Rectangle;
    import flash.geom.Matrix;
    import caurina.transitions.Tweener;
    
    public static function init():void
    {
        Tweener.registerSpecialProperty( "_mosaic" , _mosaic_get , _mosaic_set );
    }
    
    protected static function _mosaic_get( p_obj:Object , p_parameters:Array , p_extra:Object = null ):Number
    {
        var _mosaicContainer:MovieClip = p_obj.getChildByName( "MOSAIC_CONTAINER" );
        if ( _mosaicContainer ) return _mosaicContainer._mosaic; 
        else return 1;
    }
    
    protected static function _mosaic_set( p_obj:Object , p_value:Number , p_parameters:Array , p_extra:Object = null ):void
    {
        var _target:Sprite = p_obj as Sprite;
        var _mosaicContainer:MovieClip;
        var _child:DisplayObject;
        var _children:Array = new Array();
        var _minX:Number;
        var _minY:Number;
        var _matrix:Matrix = new Matrix();
        var _oriBmp:Bitmap;
        
        var _old_sp:MovieClip = p_obj.getChildByName( "MOSAIC_CONTAINER" );
        
        if ( !_old_sp )
        {
            _mosaicContainer = new MovieClip();
            _mosaicContainer.name = "MOSAIC_CONTAINER";
            _mosaicContainer._children = new Array();
            
            var _xArray:Array = new Array();
            var _yArray:Array = new Array();
            for ( var k:int = 0; k < _target.numChildren; k ++ ) 
            {
                _child = _target.getChildAt( k );
                _xArray.push( _child.x );
                _yArray.push( _child.y );
            }
            _minX = Math.min.apply( null , _xArray );
            _minY = Math.min.apply( null , _yArray );
            _mosaicContainer._minX = _minX;
            _mosaicContainer._minY = _minY;
            _matrix.tx = -_minX;
            _matrix.ty = -_minY;
            
            var _bmp:Bitmap = drawMosaic( _target , 1 , _matrix );
            _mosaicContainer.x = _minX;
            _mosaicContainer.y = _minY;
            _mosaicContainer.addChild( _bmp );
            _mosaicContainer._oriBmp = _bmp;
            
            for ( var j:int = 0; j < _target.numChildren + 1; j ++ )
            {
                _child = _target.getChildAt( 0 );
                _children.push( _child );
                _target.removeChild( _child );
            }
            _mosaicContainer._children = _children;
            _target.addChild( _mosaicContainer );
        }
        else _mosaicContainer = _old_sp;
        
        if ( p_value <= 1 )
        {
            p_value = 1;
            _target.removeChild( _mosaicContainer );
            
            var _length:int = _mosaicContainer._children.length;
            for ( var i:int = 0; i < _length; i ++ ) _target.addChild( _mosaicContainer._children[ i ] );
        }
        else
        {
            _minX = _mosaicContainer._minX;
            _minY = _mosaicContainer._minY;
            _oriBmp = _mosaicContainer._oriBmp;
            _matrix.tx = 0;
            _matrix.ty = 0;
            _matrix.scale( 1 / p_value, 1 / p_value );
            
            _mosaicContainer.removeChildAt( 0 );
            _mosaicContainer.addChild( drawMosaic( _oriBmp , p_value , _matrix ) );
        }
        _mosaicContainer._mosaic = p_value;
    }
    
    static private function drawMosaic( _target:* , _pixel:Number , _matrix:Matrix ):Bitmap
    {
        var _bmpData:BitmapData = new BitmapData( _target.width / _pixel , _target.height / _pixel , true , 0x00FFFF );
        var _bmp:Bitmap = new Bitmap( _bmpData );
        _bmpData.draw( _target , _matrix , null , "normal", new Rectangle( 0 , 0 , _target.width , _target.height ) );
        _bmp.width = _target.width;
        _bmp.height = _target.height;
        return _bmp;
    }
}


class Base64ImageLoader
{
    import flash.display.DisplayObjectContainer;
    import flash.display.Loader;
    import flash.utils.ByteArray;
    import mx.utils.Base64Decoder;
    
    static public function load( data:String ):DisplayObjectContainer
    {
        var byteArray:ByteArray;
        var base64Decoder:Base64Decoder;
        var loader:Loader;
        
        base64Decoder = new Base64Decoder();
        base64Decoder.decode( data );
        
        try {
            byteArray = base64Decoder.toByteArray();
            byteArray.position = 0;
        } catch ( e:Error ) {
            return null;
        }
        
        loader = new Loader();
        loader.loadBytes( byteArray );
        
        return loader;
    }
}


class SmartGradient
{
    import flash.display.DisplayObjectContainer;
    import flash.display.GradientType;
    import flash.geom.Point;
    import flash.geom.Matrix;
    
    static public function beginLinearGradientFill( target:* , colors:Array , alphas:Array , ratios:Array , startPoint:Point , endPoint:Point , spreadMethod:String = "pad", interpolationMethod:String = "rgb"):void
    {
        var dx:Number = endPoint.x - startPoint.x;
        var dy:Number = endPoint.y - startPoint.y;
        var dist:Number = Math.sqrt( dx * dx + dy * dy );
        var rad:Number = Math.atan2( dy , dx );
        var offsetX:Number = -( dist - Math.cos( rad ) * dist ) * 0.5 + startPoint.x;
        var offsetY:Number = -( dist - Math.sin( rad ) * dist ) * 0.5 + startPoint.y;
        
        var mat:Matrix = new Matrix();
        mat.createGradientBox( dist , dist , rad , offsetX , offsetY );  
        target.graphics.beginGradientFill( GradientType.LINEAR , colors , alphas , ratios , mat , spreadMethod , interpolationMethod );
    } 
}