From f1ce40cbd8cc687be8af4d61d425f3058d873e99 Mon Sep 17 00:00:00 2001
From: jamesrobb <james@jamesrobb.com>
Date: Sat, 15 Feb 2014 19:48:20 +0000
Subject: [PATCH 1/7] png 32 and png 24 support added to addImage
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

png 32 and png 24 support added to addImage
partial png 8, but needs looking at as there are issues with
transparency… and colour
ArrayBuffer and ArrayBufferView/TypedArray support added to addImage
---
 jspdf.plugin.addimage.js | 310 +++++++++++++++++++++++++++++++++------
 1 file changed, 268 insertions(+), 42 deletions(-)

diff --git a/jspdf.plugin.addimage.js b/jspdf.plugin.addimage.js
index 5db9d5f37..e8ce7e96a 100644
--- a/jspdf.plugin.addimage.js
+++ b/jspdf.plugin.addimage.js
@@ -30,7 +30,11 @@
 ;(function(jsPDFAPI) {
 'use strict'
 
-var namespace = 'addImage_'
+var namespace = 'addImage_',
+	supported_image_types = ['jpg', 'jpeg', 'png'],
+	color_spaces = ['DeviceRGB', 'DeviceGray', 'DeviceCMYK', 'Indexed'],
+	filter_methods = ['DCTDecode', 'FlateDecode', 'LZWDecode'];
+	
 
 // takes a string imgData containing the raw bytes of
 // a jpeg image and returns [width, height]
@@ -48,7 +52,7 @@ var getJpegSize = function(imgData) {
 		!imgData.charCodeAt(8) === 'I'.charCodeAt(0) ||
 		!imgData.charCodeAt(9) === 'F'.charCodeAt(0) ||
 		!imgData.charCodeAt(10) === 0x00) {
-			throw new Error('getJpegSize requires a binary jpeg file')
+			throw new Error('getJpegSize requires a binary string jpeg file')
 	}
 	var blockLength = imgData.charCodeAt(4)*256 + imgData.charCodeAt(5);
 	var i = 4, len = imgData.length;
@@ -76,6 +80,7 @@ var getJpegSize = function(imgData) {
 }
 // Image functionality ported from pdf.js
 , putImage = function(img) {
+	//console.log(img);
 	var objectNumber = this.internal.newObject()
 	, out = this.internal.write
 	, putStream = this.internal.putStream
@@ -106,7 +111,7 @@ var getJpegSize = function(imgData) {
 	if ('trns' in img && img['trns'].constructor == Array) {
 		var trns = '';
 		for ( var i = 0; i < img['trns'].length; i++) {
-			trns += (img[trns][i] + ' ' + img['trns'][i] + ' ');
+			trns += (img['trns'][i] + ' ' + img['trns'][i] + ' ');
 			out('/Mask [' + trns + ']');
 		}
 	}
@@ -118,6 +123,26 @@ var getJpegSize = function(imgData) {
 	putStream(img['data']);
 
 	out('endobj');
+	
+	// Soft mask
+	if ('smask' in img) {
+		var dp = '/Predictor 15 /Colors 1 /BitsPerComponent 8 /Columns ' + img['w'];
+		var smask = {'w': img['w'], 'h': img['h'], 'cs': 'DeviceGray', 'bpc': 8, 'dp': dp, 'data': img['smask']};
+		if ('f' in img) 
+			smask.f = img['f'];
+		putImage.call(this, smask);
+	}
+    
+    //Palette
+	if (img['cs'] === 'Indexed') {
+		
+		this.internal.newObject();
+		//out('<< /Filter / ' + img['f'] +' /Length ' + img['pal'].length + '>>');
+		//putStream(zlib.compress(img['pal']));
+		out('<< /Length ' + img['pal'].length + '>>');
+		putStream(img['pal']);
+		out('endobj');
+	}
 }
 , putResourcesCallback = function() {
 	var images = this.internal.collections[namespace + 'images']
@@ -139,11 +164,90 @@ var getJpegSize = function(imgData) {
 		)
 	}
 }
+, extractBase64Info = function(dataURL) {
+	return /^(data:image\/([\w]+?);base64,)(.+?)$/g.exec(dataURL);
+}
+, supportsArrayBuffer = function() {
+	return typeof ArrayBuffer == 'function';
+}
+, isArrayBuffer = function(object) {
+	if(!supportsArrayBuffer())
+        return false;
+	return object instanceof ArrayBuffer;
+}
+, isArrayBufferView = function(object) {
+	if(!supportsArrayBuffer())
+        return false;
+	return (object instanceof Int8Array ||
+			object instanceof Uint8Array ||
+			object instanceof Uint8ClampedArray ||
+			object instanceof Int16Array ||
+			object instanceof Uint16Array ||
+			object instanceof Int32Array ||
+			object instanceof Uint32Array ||
+			object instanceof Float32Array ||
+			object instanceof Float64Array );
+}
+, binaryStringToUint8Array = function(binary_string) {
+	var len = binary_string.length;
+    var bytes = new Uint8Array( len );
+    for (var i = 0; i < len; i++) {
+        bytes[i] = binary_string.charCodeAt(i);
+    }
+    return bytes;
+}
+, arrayBufferToBinaryString = function( array_buffer ) {
+    /*var binary_string = '';
+    //var bytes = new Uint8Array( array_buffer );
+    var bytes = array_buffer;
+    var len = bytes.byteLength;
+    for (var i = 0; i < len; i++) {
+        binary_string += String.fromCharCode( bytes[ i ] );
+    }
+    return binary_string;*/
+	
+	if(isArrayBufferView())
+		array_buffer = array_buffer.buffer;
+	
+	var base64 = base64ArrayBuffer(array_buffer);
+	
+	return window.atob(base64);
+}
+, createImageInfo = function(data, wd, ht, cs, bpc, f, imageIndex, alias, dp, trns, pal, smask) {
+	var info = {
+			alias:alias,
+			w : wd,
+			h : ht,
+			cs : cs,
+			bpc : bpc,
+			i : imageIndex,
+			data : data
+			// n: objectNumber will be added by putImage code
+		};
+	
+	if(f)
+		info.f = f;
+	
+	if(dp)
+		info.dp = dp;
+	
+	if(trns)
+		info.trns = trns;
+	
+	if(pal)
+		info.pal = pal;
+	
+	if(smask)
+		info.smask = smask;
+	
+	return info;
+};
 
 jsPDFAPI.addImage = function(imageData, format, x, y, w, h, alias) {
 	'use strict'
 	var images = this.internal.collections[namespace + 'images'],
-		cached_info;
+		cached_info,
+		binaryStringData;
 
 	if(typeof format === 'number') {
 		var tmp = h;
@@ -151,12 +255,27 @@ jsPDFAPI.addImage = function(imageData, format, x, y, w, h, alias) {
 		w = y;
 		y = x;
 		x = format;
-		format = tmp || 'JPEG';
+		format = tmp || 'jpeg';
 	}
+	
 	if(typeof alias === 'undefined') {
 		// TODO: Alias dynamic generation from imageData's checksum/hash
 	}
 
+	if (typeof imageData === 'object' && imageData.nodeType === 1) {
+        var canvas = document.createElement('canvas');
+        canvas.width = imageData.clientWidth || imageData.width;
+	    canvas.height = imageData.clientHeight || imageData.height;
+
+        var ctx = canvas.getContext('2d');
+        if (!ctx) {
+            throw ('addImage requires canvas to be supported by browser.');
+        }
+        ctx.drawImage(imageData, 0, 0, canvas.width, canvas.height);
+        imageData = canvas.toDataURL();
+	    format = "png";
+	}
+	
 	if(typeof imageData === 'string') {
 		if(imageData.charCodeAt(0) !== 0xff && imageData.substr(0,5) !== 'data:') {
 			// This is neither raw jpeg-data nor a data uri; alias?
@@ -171,36 +290,35 @@ jsPDFAPI.addImage = function(imageData, format, x, y, w, h, alias) {
 				}
 			}
 
-		} else if(imageData.substr(0,14) === 'data:image/jpg') {
-			imageData = imageData.replace('data:image/jpg','data:image/jpeg');
+		} else {
+			
+			var base64Info = extractBase64Info(imageData);
+			
+			if(base64Info) {
+				
+				format = base64Info[2];
+				imageData = atob(base64Info[3]);//convert to binary string
+				
+				/*
+				 * need to test if it's more efficent to convert all binary strings
+				 * to TypedArray - or should we just leave and process as string?
+				 */
+				if(supportsArrayBuffer()) {
+					binaryStringData = imageData;
+					imageData = binaryStringToUint8Array(imageData);
+				}
+					
+			}
 		}
 	}
-	if (typeof imageData === 'object' && imageData.nodeType === 1) {
-        var canvas = document.createElement('canvas');
-        canvas.width = imageData.clientWidth || imageData.width;
-	    canvas.height = imageData.clientHeight || imageData.height;
-
-        var ctx = canvas.getContext('2d');
-        if (!ctx) {
-            throw ('addImage requires canvas to be supported by browser.');
-        }
-        ctx.drawImage(imageData, 0, 0, canvas.width, canvas.height);
-        imageData = canvas.toDataURL('image/jpeg');
-	    format = "JPEG";
-	}
-	if (format.toUpperCase() !== 'JPEG') {
-		throw new Error('addImage currently only supports format \'JPEG\', not \''+format+'\'');
-	}
+	
+	if( supported_image_types.indexOf(format.toLowerCase()) == -1 )
+		throw new Error('addImage currently only supports formats ' + supported_image_types + ', not \''+format+'\'');
 
 	var imageIndex
 	, coord = this.internal.getCoordinateString
 	, vcoord = this.internal.getVerticalCoordinateString;
 
-	// Detect if the imageData is raw binary or Data URL
-	if (imageData.substring(0, 23) === 'data:image/jpeg;base64,') {
-		imageData = atob(imageData.replace('data:image/jpeg;base64,', ''));
-	}
-
 	if (images){
 		// this is NOT the first time this method is ran on this instance of jsPDF object.
 		imageIndex = Object.keys ? 
@@ -218,20 +336,128 @@ jsPDFAPI.addImage = function(imageData, format, x, y, w, h, alias) {
 		this.internal.events.subscribe('putXobjectDict', putXObjectsDictCallback)
 	}
 
-	var info = cached_info || (function(dims) {
-		return images[imageIndex] = {
-			alias:alias,
-			w : dims[0],
-			h : dims[1],
-			cs : 'DeviceRGB',
-			bpc : 8,
-			f : 'DCTDecode',
-			i : imageIndex,
-			data : imageData
-			// n: objectNumber will be added by putImage code
-		};
-	})(getJpegSize(imageData));
-
+	var info = cached_info;
+	
+	if(!info) {
+		
+		var img,
+			dims,
+			dp,
+			trns,
+			colorSpace = color_spaces[0],
+			filter = filter_methods[0],
+			bpc = 8,
+			colors,
+			pal,
+			smask;
+		
+		format = format.toLocaleLowerCase();
+		
+		/*
+		 * we have a binary string
+		 */
+		if(typeof imageData === 'string') {
+			
+			if(['jpeg', 'jpg'].indexOf(format) !== -1) {
+				
+				dims = getJpegSize(imageData);
+				info = createImageInfo(imageData, dims[0], dims[1], colorSpace, bpc, filter, imageIndex, alias);
+			}
+			
+			if(format === 'png') {
+				
+			}
+		}
+		
+		if(isArrayBuffer(imageData))
+			imageData = new Uint8Array(imageData);
+		
+		if(isArrayBufferView(imageData)) {
+			
+			if(['jpeg', 'jpg'].indexOf(format) !== -1) {
+				img = new JpegImage();
+				img.parse(imageData);
+				
+				/*
+				 * check if already have a stored binary string rep
+				 */
+				imageData = binaryStringData || arrayBufferToBinaryString(imageData);
+				
+				info = createImageInfo(imageData, img.width, img.height, colorSpace, bpc, filter, imageIndex, alias);
+			}
+			
+			if(format === 'png') {
+				
+				img = new PNG(imageData);
+				imageData = img.imgData;
+				bpc = img.bits;
+				colorSpace = img.colorSpace;
+				colors = img.colors;
+				filter = filter_methods[1];//FlateDecode as png pixels are compressed
+				
+				/*
+				 * we need to extract alpha layer and add it as a smask
+				 */
+				if(img.colorType === 6 &&
+				   img.pixelBitlength === 32) {
+					
+					var //pixels = new DataView(img.decode().buffer),
+						pixels = new Uint32Array(img.decode().buffer),
+						//len = pixels.byteLength / 4,
+						len = pixels.length,
+						colorData = new Uint8Array(len * 3),
+						transData = new Uint8Array(len),
+						pixel,
+						i = 0,
+						n = 0;
+					
+					for(; i < len; i++) {
+						//pixel = pixels.getInt32(i);
+						pixel = pixels[i];
+						
+						colorData[n++] = ( pixel >> 0 ) & 0xff;
+						colorData[n++] = ( pixel >> 8 ) & 0xff;
+						colorData[n++] = ( pixel >> 16 ) & 0xff;
+						
+						transData[i] = ( pixel >> 24 ) & 0xff;
+					}
+					
+					imageData = colorData;
+					smask = arrayBufferToBinaryString(transData);
+					filter = null;
+				}
+				
+				if(filter === filter_methods[1])
+					dp = '/Predictor 15 /Colors '+ colors +' /BitsPerComponent '+ bpc +' /Columns '+ img.width;
+				
+				if(img.palette && img.palette.length > 0)
+					pal = img.palette;
+				
+				if(img.transparency.indexed)
+					trns = img.transparency.indexed;
+				
+				info = createImageInfo(arrayBufferToBinaryString(imageData),
+									   img.width,
+									   img.height,
+									   colorSpace,
+									   bpc,
+									   filter,
+									   imageIndex,
+									   alias,
+									   dp,
+									   trns,
+									   pal,
+									   smask);
+			}
+		}
+		
+	}
+	
+	if( !info )
+		throw new Error('Something went wrong, theres no image info');
+	
+	images[imageIndex] = info;
+	
 	if (!w && !h) {
 		w = -96;
 		h = -96;

From 9078189fe6cf4764d09d4558837ac6c9246d7093 Mon Sep 17 00:00:00 2001
From: jamesrobb <james@jamesrobb.com>
Date: Sat, 15 Feb 2014 19:51:43 +0000
Subject: [PATCH 2/7] adding png support dependencies

---
 libs/png_support/arrayBufferToBase64.js |  55 ++
 libs/png_support/jpg.js                 | 956 ++++++++++++++++++++++++
 libs/png_support/png.js                 | 461 ++++++++++++
 libs/png_support/zlib.js                | 464 ++++++++++++
 4 files changed, 1936 insertions(+)
 create mode 100644 libs/png_support/arrayBufferToBase64.js
 create mode 100755 libs/png_support/jpg.js
 create mode 100755 libs/png_support/png.js
 create mode 100755 libs/png_support/zlib.js

diff --git a/libs/png_support/arrayBufferToBase64.js b/libs/png_support/arrayBufferToBase64.js
new file mode 100644
index 000000000..f200e30df
--- /dev/null
+++ b/libs/png_support/arrayBufferToBase64.js
@@ -0,0 +1,55 @@
+// Converts an ArrayBuffer directly to base64, without any intermediate 'convert to string then
+// use window.btoa' step. According to my tests, this appears to be a faster approach:
+// http://jsperf.com/encoding-xhr-image-data/5
+
+function base64ArrayBuffer(arrayBuffer) {
+  var base64    = ''
+  var encodings = 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/'
+
+  var bytes         = new Uint8Array(arrayBuffer)
+  var byteLength    = bytes.byteLength
+  var byteRemainder = byteLength % 3
+  var mainLength    = byteLength - byteRemainder
+
+  var a, b, c, d
+  var chunk
+
+  // Main loop deals with bytes in chunks of 3
+  for (var i = 0; i < mainLength; i = i + 3) {
+    // Combine the three bytes into a single integer
+    chunk = (bytes[i] << 16) | (bytes[i + 1] << 8) | bytes[i + 2]
+
+    // Use bitmasks to extract 6-bit segments from the triplet
+    a = (chunk & 16515072) >> 18 // 16515072 = (2^6 - 1) << 18
+    b = (chunk & 258048)   >> 12 // 258048   = (2^6 - 1) << 12
+    c = (chunk & 4032)     >>  6 // 4032     = (2^6 - 1) << 6
+    d = chunk & 63               // 63       = 2^6 - 1
+
+    // Convert the raw binary segments to the appropriate ASCII encoding
+    base64 += encodings[a] + encodings[b] + encodings[c] + encodings[d]
+  }
+
+  // Deal with the remaining bytes and padding
+  if (byteRemainder == 1) {
+    chunk = bytes[mainLength]
+
+    a = (chunk & 252) >> 2 // 252 = (2^6 - 1) << 2
+
+    // Set the 4 least significant bits to zero
+    b = (chunk & 3)   << 4 // 3   = 2^2 - 1
+
+    base64 += encodings[a] + encodings[b] + '=='
+  } else if (byteRemainder == 2) {
+    chunk = (bytes[mainLength] << 8) | bytes[mainLength + 1]
+
+    a = (chunk & 64512) >> 10 // 64512 = (2^6 - 1) << 10
+    b = (chunk & 1008)  >>  4 // 1008  = (2^6 - 1) << 4
+
+    // Set the 2 least significant bits to zero
+    c = (chunk & 15)    <<  2 // 15    = 2^4 - 1
+
+    base64 += encodings[a] + encodings[b] + encodings[c] + '='
+  }
+  
+  return base64
+}
\ No newline at end of file
diff --git a/libs/png_support/jpg.js b/libs/png_support/jpg.js
new file mode 100755
index 000000000..51398eee2
--- /dev/null
+++ b/libs/png_support/jpg.js
@@ -0,0 +1,956 @@
+/* -*- Mode: Java; tab-width: 2; indent-tabs-mode: nil; c-basic-offset: 2 -*- /
+/* vim: set shiftwidth=2 tabstop=2 autoindent cindent expandtab: */
+/*
+   Copyright 2011 notmasteryet
+
+   Licensed under the Apache License, Version 2.0 (the "License");
+   you may not use this file except in compliance with the License.
+   You may obtain a copy of the License at
+
+       http://www.apache.org/licenses/LICENSE-2.0
+
+   Unless required by applicable law or agreed to in writing, software
+   distributed under the License is distributed on an "AS IS" BASIS,
+   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+   See the License for the specific language governing permissions and
+   limitations under the License.
+*/
+
+// - The JPEG specification can be found in the ITU CCITT Recommendation T.81
+//   (www.w3.org/Graphics/JPEG/itu-t81.pdf)
+// - The JFIF specification can be found in the JPEG File Interchange Format
+//   (www.w3.org/Graphics/JPEG/jfif3.pdf)
+// - The Adobe Application-Specific JPEG markers in the Supporting the DCT Filters
+//   in PostScript Level 2, Technical Note #5116
+//   (partners.adobe.com/public/developer/en/ps/sdk/5116.DCT_Filter.pdf)
+
+var JpegImage = (function jpegImage() {
+  "use strict";
+  var dctZigZag = new Int32Array([
+     0,
+     1,  8,
+    16,  9,  2,
+     3, 10, 17, 24,
+    32, 25, 18, 11, 4,
+     5, 12, 19, 26, 33, 40,
+    48, 41, 34, 27, 20, 13,  6,
+     7, 14, 21, 28, 35, 42, 49, 56,
+    57, 50, 43, 36, 29, 22, 15,
+    23, 30, 37, 44, 51, 58,
+    59, 52, 45, 38, 31,
+    39, 46, 53, 60,
+    61, 54, 47,
+    55, 62,
+    63
+  ]);
+
+  var dctCos1  =  4017   // cos(pi/16)
+  var dctSin1  =   799   // sin(pi/16)
+  var dctCos3  =  3406   // cos(3*pi/16)
+  var dctSin3  =  2276   // sin(3*pi/16)
+  var dctCos6  =  1567   // cos(6*pi/16)
+  var dctSin6  =  3784   // sin(6*pi/16)
+  var dctSqrt2 =  5793   // sqrt(2)
+  var dctSqrt1d2 = 2896  // sqrt(2) / 2
+
+  function constructor() {
+  }
+
+  function buildHuffmanTable(codeLengths, values) {
+    var k = 0, code = [], i, j, length = 16;
+    while (length > 0 && !codeLengths[length - 1])
+      length--;
+    code.push({children: [], index: 0});
+    var p = code[0], q;
+    for (i = 0; i < length; i++) {
+      for (j = 0; j < codeLengths[i]; j++) {
+        p = code.pop();
+        p.children[p.index] = values[k];
+        while (p.index > 0) {
+          p = code.pop();
+        }
+        p.index++;
+        code.push(p);
+        while (code.length <= i) {
+          code.push(q = {children: [], index: 0});
+          p.children[p.index] = q.children;
+          p = q;
+        }
+        k++;
+      }
+      if (i + 1 < length) {
+        // p here points to last code
+        code.push(q = {children: [], index: 0});
+        p.children[p.index] = q.children;
+        p = q;
+      }
+    }
+    return code[0].children;
+  }
+
+  function decodeScan(data, offset,
+                      frame, components, resetInterval,
+                      spectralStart, spectralEnd,
+                      successivePrev, successive) {
+    var precision = frame.precision;
+    var samplesPerLine = frame.samplesPerLine;
+    var scanLines = frame.scanLines;
+    var mcusPerLine = frame.mcusPerLine;
+    var progressive = frame.progressive;
+    var maxH = frame.maxH, maxV = frame.maxV;
+
+    var startOffset = offset, bitsData = 0, bitsCount = 0;
+    function readBit() {
+      if (bitsCount > 0) {
+        bitsCount--;
+        return (bitsData >> bitsCount) & 1;
+      }
+      bitsData = data[offset++];
+      if (bitsData == 0xFF) {
+        var nextByte = data[offset++];
+        if (nextByte) {
+          throw "unexpected marker: " + ((bitsData << 8) | nextByte).toString(16);
+        }
+        // unstuff 0
+      }
+      bitsCount = 7;
+      return bitsData >>> 7;
+    }
+    function decodeHuffman(tree) {
+      var node = tree, bit;
+      while ((bit = readBit()) !== null) {
+        node = node[bit];
+        if (typeof node === 'number')
+          return node;
+        if (typeof node !== 'object')
+          throw "invalid huffman sequence";
+      }
+      return null;
+    }
+    function receive(length) {
+      var n = 0;
+      while (length > 0) {
+        var bit = readBit();
+        if (bit === null) return;
+        n = (n << 1) | bit;
+        length--;
+      }
+      return n;
+    }
+    function receiveAndExtend(length) {
+      var n = receive(length);
+      if (n >= 1 << (length - 1))
+        return n;
+      return n + (-1 << length) + 1;
+    }
+    function decodeBaseline(component, zz) {
+      var t = decodeHuffman(component.huffmanTableDC);
+      var diff = t === 0 ? 0 : receiveAndExtend(t);
+      zz[0]= (component.pred += diff);
+      var k = 1;
+      while (k < 64) {
+        var rs = decodeHuffman(component.huffmanTableAC);
+        var s = rs & 15, r = rs >> 4;
+        if (s === 0) {
+          if (r < 15)
+            break;
+          k += 16;
+          continue;
+        }
+        k += r;
+        var z = dctZigZag[k];
+        zz[z] = receiveAndExtend(s);
+        k++;
+      }
+    }
+    function decodeDCFirst(component, zz) {
+      var t = decodeHuffman(component.huffmanTableDC);
+      var diff = t === 0 ? 0 : (receiveAndExtend(t) << successive);
+      zz[0] = (component.pred += diff);
+    }
+    function decodeDCSuccessive(component, zz) {
+      zz[0] |= readBit() << successive;
+    }
+    var eobrun = 0;
+    function decodeACFirst(component, zz) {
+      if (eobrun > 0) {
+        eobrun--;
+        return;
+      }
+      var k = spectralStart, e = spectralEnd;
+      while (k <= e) {
+        var rs = decodeHuffman(component.huffmanTableAC);
+        var s = rs & 15, r = rs >> 4;
+        if (s === 0) {
+          if (r < 15) {
+            eobrun = receive(r) + (1 << r) - 1;
+            break;
+          }
+          k += 16;
+          continue;
+        }
+        k += r;
+        var z = dctZigZag[k];
+        zz[z] = receiveAndExtend(s) * (1 << successive);
+        k++;
+      }
+    }
+    var successiveACState = 0, successiveACNextValue;
+    function decodeACSuccessive(component, zz) {
+      var k = spectralStart, e = spectralEnd, r = 0;
+      while (k <= e) {
+        var z = dctZigZag[k];
+        switch (successiveACState) {
+        case 0: // initial state
+          var rs = decodeHuffman(component.huffmanTableAC);
+          var s = rs & 15, r = rs >> 4;
+          if (s === 0) {
+            if (r < 15) {
+              eobrun = receive(r) + (1 << r);
+              successiveACState = 4;
+            } else {
+              r = 16;
+              successiveACState = 1;
+            }
+          } else {
+            if (s !== 1)
+              throw "invalid ACn encoding";
+            successiveACNextValue = receiveAndExtend(s);
+            successiveACState = r ? 2 : 3;
+          }
+          continue;
+        case 1: // skipping r zero items
+        case 2:
+          if (zz[z])
+            zz[z] += (readBit() << successive);
+          else {
+            r--;
+            if (r === 0)
+              successiveACState = successiveACState == 2 ? 3 : 0;
+          }
+          break;
+        case 3: // set value for a zero item
+          if (zz[z])
+            zz[z] += (readBit() << successive);
+          else {
+            zz[z] = successiveACNextValue << successive;
+            successiveACState = 0;
+          }
+          break;
+        case 4: // eob
+          if (zz[z])
+            zz[z] += (readBit() << successive);
+          break;
+        }
+        k++;
+      }
+      if (successiveACState === 4) {
+        eobrun--;
+        if (eobrun === 0)
+          successiveACState = 0;
+      }
+    }
+    function decodeMcu(component, decode, mcu, row, col) {
+      var mcuRow = (mcu / mcusPerLine) | 0;
+      var mcuCol = mcu % mcusPerLine;
+      var blockRow = mcuRow * component.v + row;
+      var blockCol = mcuCol * component.h + col;
+      decode(component, component.blocks[blockRow][blockCol]);
+    }
+    function decodeBlock(component, decode, mcu) {
+      var blockRow = (mcu / component.blocksPerLine) | 0;
+      var blockCol = mcu % component.blocksPerLine;
+      decode(component, component.blocks[blockRow][blockCol]);
+    }
+
+    var componentsLength = components.length;
+    var component, i, j, k, n;
+    var decodeFn;
+    if (progressive) {
+      if (spectralStart === 0)
+        decodeFn = successivePrev === 0 ? decodeDCFirst : decodeDCSuccessive;
+      else
+        decodeFn = successivePrev === 0 ? decodeACFirst : decodeACSuccessive;
+    } else {
+      decodeFn = decodeBaseline;
+    }
+
+    var mcu = 0, marker;
+    var mcuExpected;
+    if (componentsLength == 1) {
+      mcuExpected = components[0].blocksPerLine * components[0].blocksPerColumn;
+    } else {
+      mcuExpected = mcusPerLine * frame.mcusPerColumn;
+    }
+    if (!resetInterval) resetInterval = mcuExpected;
+
+    var h, v;
+    while (mcu < mcuExpected) {
+      // reset interval stuff
+      for (i = 0; i < componentsLength; i++)
+        components[i].pred = 0;
+      eobrun = 0;
+
+      if (componentsLength == 1) {
+        component = components[0];
+        for (n = 0; n < resetInterval; n++) {
+          decodeBlock(component, decodeFn, mcu);
+          mcu++;
+        }
+      } else {
+        for (n = 0; n < resetInterval; n++) {
+          for (i = 0; i < componentsLength; i++) {
+            component = components[i];
+            h = component.h;
+            v = component.v;
+            for (j = 0; j < v; j++) {
+              for (k = 0; k < h; k++) {
+                decodeMcu(component, decodeFn, mcu, j, k);
+              }
+            }
+          }
+          mcu++;
+        }
+      }
+
+      // find marker
+      bitsCount = 0;
+      marker = (data[offset] << 8) | data[offset + 1];
+      if (marker <= 0xFF00) {
+        throw "marker was not found";
+      }
+
+      if (marker >= 0xFFD0 && marker <= 0xFFD7) { // RSTx
+        offset += 2;
+      }
+      else
+        break;
+    }
+
+    return offset - startOffset;
+  }
+
+  function buildComponentData(frame, component) {
+    var lines = [];
+    var blocksPerLine = component.blocksPerLine;
+    var blocksPerColumn = component.blocksPerColumn;
+    var samplesPerLine = blocksPerLine << 3;
+    var R = new Int32Array(64), r = new Uint8Array(64);
+
+    // A port of poppler's IDCT method which in turn is taken from:
+    //   Christoph Loeffler, Adriaan Ligtenberg, George S. Moschytz,
+    //   "Practical Fast 1-D DCT Algorithms with 11 Multiplications",
+    //   IEEE Intl. Conf. on Acoustics, Speech & Signal Processing, 1989,
+    //   988-991.
+    function quantizeAndInverse(zz, dataOut, dataIn) {
+      var qt = component.quantizationTable;
+      var v0, v1, v2, v3, v4, v5, v6, v7, t;
+      var p = dataIn;
+      var i;
+
+      // dequant
+      for (i = 0; i < 64; i++)
+        p[i] = zz[i] * qt[i];
+
+      // inverse DCT on rows
+      for (i = 0; i < 8; ++i) {
+        var row = 8 * i;
+
+        // check for all-zero AC coefficients
+        if (p[1 + row] == 0 && p[2 + row] == 0 && p[3 + row] == 0 &&
+            p[4 + row] == 0 && p[5 + row] == 0 && p[6 + row] == 0 &&
+            p[7 + row] == 0) {
+          t = (dctSqrt2 * p[0 + row] + 512) >> 10;
+          p[0 + row] = t;
+          p[1 + row] = t;
+          p[2 + row] = t;
+          p[3 + row] = t;
+          p[4 + row] = t;
+          p[5 + row] = t;
+          p[6 + row] = t;
+          p[7 + row] = t;
+          continue;
+        }
+
+        // stage 4
+        v0 = (dctSqrt2 * p[0 + row] + 128) >> 8;
+        v1 = (dctSqrt2 * p[4 + row] + 128) >> 8;
+        v2 = p[2 + row];
+        v3 = p[6 + row];
+        v4 = (dctSqrt1d2 * (p[1 + row] - p[7 + row]) + 128) >> 8;
+        v7 = (dctSqrt1d2 * (p[1 + row] + p[7 + row]) + 128) >> 8;
+        v5 = p[3 + row] << 4;
+        v6 = p[5 + row] << 4;
+
+        // stage 3
+        t = (v0 - v1+ 1) >> 1;
+        v0 = (v0 + v1 + 1) >> 1;
+        v1 = t;
+        t = (v2 * dctSin6 + v3 * dctCos6 + 128) >> 8;
+        v2 = (v2 * dctCos6 - v3 * dctSin6 + 128) >> 8;
+        v3 = t;
+        t = (v4 - v6 + 1) >> 1;
+        v4 = (v4 + v6 + 1) >> 1;
+        v6 = t;
+        t = (v7 + v5 + 1) >> 1;
+        v5 = (v7 - v5 + 1) >> 1;
+        v7 = t;
+
+        // stage 2
+        t = (v0 - v3 + 1) >> 1;
+        v0 = (v0 + v3 + 1) >> 1;
+        v3 = t;
+        t = (v1 - v2 + 1) >> 1;
+        v1 = (v1 + v2 + 1) >> 1;
+        v2 = t;
+        t = (v4 * dctSin3 + v7 * dctCos3 + 2048) >> 12;
+        v4 = (v4 * dctCos3 - v7 * dctSin3 + 2048) >> 12;
+        v7 = t;
+        t = (v5 * dctSin1 + v6 * dctCos1 + 2048) >> 12;
+        v5 = (v5 * dctCos1 - v6 * dctSin1 + 2048) >> 12;
+        v6 = t;
+
+        // stage 1
+        p[0 + row] = v0 + v7;
+        p[7 + row] = v0 - v7;
+        p[1 + row] = v1 + v6;
+        p[6 + row] = v1 - v6;
+        p[2 + row] = v2 + v5;
+        p[5 + row] = v2 - v5;
+        p[3 + row] = v3 + v4;
+        p[4 + row] = v3 - v4;
+      }
+
+      // inverse DCT on columns
+      for (i = 0; i < 8; ++i) {
+        var col = i;
+
+        // check for all-zero AC coefficients
+        if (p[1*8 + col] == 0 && p[2*8 + col] == 0 && p[3*8 + col] == 0 &&
+            p[4*8 + col] == 0 && p[5*8 + col] == 0 && p[6*8 + col] == 0 &&
+            p[7*8 + col] == 0) {
+          t = (dctSqrt2 * dataIn[i+0] + 8192) >> 14;
+          p[0*8 + col] = t;
+          p[1*8 + col] = t;
+          p[2*8 + col] = t;
+          p[3*8 + col] = t;
+          p[4*8 + col] = t;
+          p[5*8 + col] = t;
+          p[6*8 + col] = t;
+          p[7*8 + col] = t;
+          continue;
+        }
+
+        // stage 4
+        v0 = (dctSqrt2 * p[0*8 + col] + 2048) >> 12;
+        v1 = (dctSqrt2 * p[4*8 + col] + 2048) >> 12;
+        v2 = p[2*8 + col];
+        v3 = p[6*8 + col];
+        v4 = (dctSqrt1d2 * (p[1*8 + col] - p[7*8 + col]) + 2048) >> 12;
+        v7 = (dctSqrt1d2 * (p[1*8 + col] + p[7*8 + col]) + 2048) >> 12;
+        v5 = p[3*8 + col];
+        v6 = p[5*8 + col];
+
+        // stage 3
+        t = (v0 - v1 + 1) >> 1;
+        v0 = (v0 + v1 + 1) >> 1;
+        v1 = t;
+        t = (v2 * dctSin6 + v3 * dctCos6 + 2048) >> 12;
+        v2 = (v2 * dctCos6 - v3 * dctSin6 + 2048) >> 12;
+        v3 = t;
+        t = (v4 - v6 + 1) >> 1;
+        v4 = (v4 + v6 + 1) >> 1;
+        v6 = t;
+        t = (v7 + v5 + 1) >> 1;
+        v5 = (v7 - v5 + 1) >> 1;
+        v7 = t;
+
+        // stage 2
+        t = (v0 - v3 + 1) >> 1;
+        v0 = (v0 + v3 + 1) >> 1;
+        v3 = t;
+        t = (v1 - v2 + 1) >> 1;
+        v1 = (v1 + v2 + 1) >> 1;
+        v2 = t;
+        t = (v4 * dctSin3 + v7 * dctCos3 + 2048) >> 12;
+        v4 = (v4 * dctCos3 - v7 * dctSin3 + 2048) >> 12;
+        v7 = t;
+        t = (v5 * dctSin1 + v6 * dctCos1 + 2048) >> 12;
+        v5 = (v5 * dctCos1 - v6 * dctSin1 + 2048) >> 12;
+        v6 = t;
+
+        // stage 1
+        p[0*8 + col] = v0 + v7;
+        p[7*8 + col] = v0 - v7;
+        p[1*8 + col] = v1 + v6;
+        p[6*8 + col] = v1 - v6;
+        p[2*8 + col] = v2 + v5;
+        p[5*8 + col] = v2 - v5;
+        p[3*8 + col] = v3 + v4;
+        p[4*8 + col] = v3 - v4;
+      }
+
+      // convert to 8-bit integers
+      for (i = 0; i < 64; ++i) {
+        var sample = 128 + ((p[i] + 8) >> 4);
+        dataOut[i] = sample < 0 ? 0 : sample > 0xFF ? 0xFF : sample;
+      }
+    }
+
+    var i, j;
+    for (var blockRow = 0; blockRow < blocksPerColumn; blockRow++) {
+      var scanLine = blockRow << 3;
+      for (i = 0; i < 8; i++)
+        lines.push(new Uint8Array(samplesPerLine));
+      for (var blockCol = 0; blockCol < blocksPerLine; blockCol++) {
+        quantizeAndInverse(component.blocks[blockRow][blockCol], r, R);
+
+        var offset = 0, sample = blockCol << 3;
+        for (j = 0; j < 8; j++) {
+          var line = lines[scanLine + j];
+          for (i = 0; i < 8; i++)
+            line[sample + i] = r[offset++];
+        }
+      }
+    }
+    return lines;
+  }
+
+  function clampTo8bit(a) {
+    return a < 0 ? 0 : a > 255 ? 255 : a;
+  }
+
+  constructor.prototype = {
+    load: function load(path) {
+      var xhr = new XMLHttpRequest();
+      xhr.open("GET", path, true);
+      xhr.responseType = "arraybuffer";
+      xhr.onload = (function() {
+        // TODO catch parse error
+        var data = new Uint8Array(xhr.response || xhr.mozResponseArrayBuffer);
+        this.parse(data);
+        if (this.onload)
+          this.onload();
+      }).bind(this);
+      xhr.send(null);
+    },
+    parse: function parse(data) {
+      var offset = 0, length = data.length;
+      function readUint16() {
+        var value = (data[offset] << 8) | data[offset + 1];
+        offset += 2;
+        return value;
+      }
+      function readDataBlock() {
+        var length = readUint16();
+        var array = data.subarray(offset, offset + length - 2);
+        offset += array.length;
+        return array;
+      }
+      function prepareComponents(frame) {
+        var maxH = 0, maxV = 0;
+        var component, componentId;
+        for (componentId in frame.components) {
+          if (frame.components.hasOwnProperty(componentId)) {
+            component = frame.components[componentId];
+            if (maxH < component.h) maxH = component.h;
+            if (maxV < component.v) maxV = component.v;
+          }
+        }
+        var mcusPerLine = Math.ceil(frame.samplesPerLine / 8 / maxH);
+        var mcusPerColumn = Math.ceil(frame.scanLines / 8 / maxV);
+        for (componentId in frame.components) {
+          if (frame.components.hasOwnProperty(componentId)) {
+            component = frame.components[componentId];
+            var blocksPerLine = Math.ceil(Math.ceil(frame.samplesPerLine / 8) * component.h / maxH);
+            var blocksPerColumn = Math.ceil(Math.ceil(frame.scanLines  / 8) * component.v / maxV);
+            var blocksPerLineForMcu = mcusPerLine * component.h;
+            var blocksPerColumnForMcu = mcusPerColumn * component.v;
+            var blocks = [];
+            for (var i = 0; i < blocksPerColumnForMcu; i++) {
+              var row = [];
+              for (var j = 0; j < blocksPerLineForMcu; j++)
+                row.push(new Int32Array(64));
+              blocks.push(row);
+            }
+            component.blocksPerLine = blocksPerLine;
+            component.blocksPerColumn = blocksPerColumn;
+            component.blocks = blocks;
+          }
+        }
+        frame.maxH = maxH;
+        frame.maxV = maxV;
+        frame.mcusPerLine = mcusPerLine;
+        frame.mcusPerColumn = mcusPerColumn;
+      }
+      var jfif = null;
+      var adobe = null;
+      var pixels = null;
+      var frame, resetInterval;
+      var quantizationTables = [], frames = [];
+      var huffmanTablesAC = [], huffmanTablesDC = [];
+      var fileMarker = readUint16();
+      if (fileMarker != 0xFFD8) { // SOI (Start of Image)
+        throw "SOI not found";
+      }
+
+      fileMarker = readUint16();
+      while (fileMarker != 0xFFD9) { // EOI (End of image)
+        var i, j, l;
+        switch(fileMarker) {
+          case 0xFFE0: // APP0 (Application Specific)
+          case 0xFFE1: // APP1
+          case 0xFFE2: // APP2
+          case 0xFFE3: // APP3
+          case 0xFFE4: // APP4
+          case 0xFFE5: // APP5
+          case 0xFFE6: // APP6
+          case 0xFFE7: // APP7
+          case 0xFFE8: // APP8
+          case 0xFFE9: // APP9
+          case 0xFFEA: // APP10
+          case 0xFFEB: // APP11
+          case 0xFFEC: // APP12
+          case 0xFFED: // APP13
+          case 0xFFEE: // APP14
+          case 0xFFEF: // APP15
+          case 0xFFFE: // COM (Comment)
+            var appData = readDataBlock();
+
+            if (fileMarker === 0xFFE0) {
+              if (appData[0] === 0x4A && appData[1] === 0x46 && appData[2] === 0x49 &&
+                appData[3] === 0x46 && appData[4] === 0) { // 'JFIF\x00'
+                jfif = {
+                  version: { major: appData[5], minor: appData[6] },
+                  densityUnits: appData[7],
+                  xDensity: (appData[8] << 8) | appData[9],
+                  yDensity: (appData[10] << 8) | appData[11],
+                  thumbWidth: appData[12],
+                  thumbHeight: appData[13],
+                  thumbData: appData.subarray(14, 14 + 3 * appData[12] * appData[13])
+                };
+              }
+            }
+            // TODO APP1 - Exif
+            if (fileMarker === 0xFFEE) {
+              if (appData[0] === 0x41 && appData[1] === 0x64 && appData[2] === 0x6F &&
+                appData[3] === 0x62 && appData[4] === 0x65 && appData[5] === 0) { // 'Adobe\x00'
+                adobe = {
+                  version: appData[6],
+                  flags0: (appData[7] << 8) | appData[8],
+                  flags1: (appData[9] << 8) | appData[10],
+                  transformCode: appData[11]
+                };
+              }
+            }
+            break;
+
+          case 0xFFDB: // DQT (Define Quantization Tables)
+            var quantizationTablesLength = readUint16();
+            var quantizationTablesEnd = quantizationTablesLength + offset - 2;
+            while (offset < quantizationTablesEnd) {
+              var quantizationTableSpec = data[offset++];
+              var tableData = new Int32Array(64);
+              if ((quantizationTableSpec >> 4) === 0) { // 8 bit values
+                for (j = 0; j < 64; j++) {
+                  var z = dctZigZag[j];
+                  tableData[z] = data[offset++];
+                }
+              } else if ((quantizationTableSpec >> 4) === 1) { //16 bit
+                for (j = 0; j < 64; j++) {
+                  var z = dctZigZag[j];
+                  tableData[z] = readUint16();
+                }
+              } else
+                throw "DQT: invalid table spec";
+              quantizationTables[quantizationTableSpec & 15] = tableData;
+            }
+            break;
+
+          case 0xFFC0: // SOF0 (Start of Frame, Baseline DCT)
+          case 0xFFC1: // SOF1 (Start of Frame, Extended DCT)
+          case 0xFFC2: // SOF2 (Start of Frame, Progressive DCT)
+            readUint16(); // skip data length
+            frame = {};
+            frame.extended = (fileMarker === 0xFFC1);
+            frame.progressive = (fileMarker === 0xFFC2);
+            frame.precision = data[offset++];
+            frame.scanLines = readUint16();
+            frame.samplesPerLine = readUint16();
+            frame.components = {};
+            frame.componentsOrder = [];
+            var componentsCount = data[offset++], componentId;
+            var maxH = 0, maxV = 0;
+            for (i = 0; i < componentsCount; i++) {
+              componentId = data[offset];
+              var h = data[offset + 1] >> 4;
+              var v = data[offset + 1] & 15;
+              var qId = data[offset + 2];
+              frame.componentsOrder.push(componentId);
+              frame.components[componentId] = {
+                h: h,
+                v: v,
+                quantizationTable: quantizationTables[qId]
+              };
+              offset += 3;
+            }
+            prepareComponents(frame);
+            frames.push(frame);
+            break;
+
+          case 0xFFC4: // DHT (Define Huffman Tables)
+            var huffmanLength = readUint16();
+            for (i = 2; i < huffmanLength;) {
+              var huffmanTableSpec = data[offset++];
+              var codeLengths = new Uint8Array(16);
+              var codeLengthSum = 0;
+              for (j = 0; j < 16; j++, offset++)
+                codeLengthSum += (codeLengths[j] = data[offset]);
+              var huffmanValues = new Uint8Array(codeLengthSum);
+              for (j = 0; j < codeLengthSum; j++, offset++)
+                huffmanValues[j] = data[offset];
+              i += 17 + codeLengthSum;
+
+              ((huffmanTableSpec >> 4) === 0 ? 
+                huffmanTablesDC : huffmanTablesAC)[huffmanTableSpec & 15] =
+                buildHuffmanTable(codeLengths, huffmanValues);
+            }
+            break;
+
+          case 0xFFDD: // DRI (Define Restart Interval)
+            readUint16(); // skip data length
+            resetInterval = readUint16();
+            break;
+
+          case 0xFFDA: // SOS (Start of Scan)
+            var scanLength = readUint16();
+            var selectorsCount = data[offset++];
+            var components = [], component;
+            for (i = 0; i < selectorsCount; i++) {
+              component = frame.components[data[offset++]];
+              var tableSpec = data[offset++];
+              component.huffmanTableDC = huffmanTablesDC[tableSpec >> 4];
+              component.huffmanTableAC = huffmanTablesAC[tableSpec & 15];
+              components.push(component);
+            }
+            var spectralStart = data[offset++];
+            var spectralEnd = data[offset++];
+            var successiveApproximation = data[offset++];
+            var processed = decodeScan(data, offset,
+              frame, components, resetInterval,
+              spectralStart, spectralEnd,
+              successiveApproximation >> 4, successiveApproximation & 15);
+            offset += processed;
+            break;
+          default:
+            if (data[offset - 3] == 0xFF &&
+                data[offset - 2] >= 0xC0 && data[offset - 2] <= 0xFE) {
+              // could be incorrect encoding -- last 0xFF byte of the previous
+              // block was eaten by the encoder
+              offset -= 3;
+              break;
+            }
+            throw "unknown JPEG marker " + fileMarker.toString(16);
+        }
+        fileMarker = readUint16();
+      }
+      if (frames.length != 1)
+        throw "only single frame JPEGs supported";
+
+      this.width = frame.samplesPerLine;
+      this.height = frame.scanLines;
+      this.jfif = jfif;
+      this.adobe = adobe;
+      this.components = [];
+      for (var i = 0; i < frame.componentsOrder.length; i++) {
+        var component = frame.components[frame.componentsOrder[i]];
+        this.components.push({
+          lines: buildComponentData(frame, component),
+          scaleX: component.h / frame.maxH,
+          scaleY: component.v / frame.maxV
+        });
+      }
+    },
+    getData: function getData(width, height) {
+      var scaleX = this.width / width, scaleY = this.height / height;
+
+      var component1, component2, component3, component4;
+      var component1Line, component2Line, component3Line, component4Line;
+      var x, y;
+      var offset = 0;
+      var Y, Cb, Cr, K, C, M, Ye, R, G, B;
+      var colorTransform;
+      var dataLength = width * height * this.components.length;
+      var data = new Uint8Array(dataLength);
+      switch (this.components.length) {
+        case 1:
+          component1 = this.components[0];
+          for (y = 0; y < height; y++) {
+            component1Line = component1.lines[0 | (y * component1.scaleY * scaleY)];
+            for (x = 0; x < width; x++) {
+              Y = component1Line[0 | (x * component1.scaleX * scaleX)];
+
+              data[offset++] = Y;
+            }
+          }
+          break;
+        case 2:
+          // PDF might compress two component data in custom colorspace
+          component1 = this.components[0];
+          component2 = this.components[1];
+          for (y = 0; y < height; y++) {
+            component1Line = component1.lines[0 | (y * component1.scaleY * scaleY)];
+            component2Line = component2.lines[0 | (y * component2.scaleY * scaleY)];
+            for (x = 0; x < width; x++) {
+              Y = component1Line[0 | (x * component1.scaleX * scaleX)];
+              data[offset++] = Y;
+              Y = component2Line[0 | (x * component2.scaleX * scaleX)];
+              data[offset++] = Y;
+            }
+          }
+          break;
+        case 3:
+          // The default transform for three components is true
+          colorTransform = true;
+          // The adobe transform marker overrides any previous setting
+          if (this.adobe && this.adobe.transformCode)
+            colorTransform = true;
+          else if (typeof this.colorTransform !== 'undefined')
+            colorTransform = !!this.colorTransform;
+
+          component1 = this.components[0];
+          component2 = this.components[1];
+          component3 = this.components[2];
+          for (y = 0; y < height; y++) {
+            component1Line = component1.lines[0 | (y * component1.scaleY * scaleY)];
+            component2Line = component2.lines[0 | (y * component2.scaleY * scaleY)];
+            component3Line = component3.lines[0 | (y * component3.scaleY * scaleY)];
+            for (x = 0; x < width; x++) {
+              if (!colorTransform) {
+                R = component1Line[0 | (x * component1.scaleX * scaleX)];
+                G = component2Line[0 | (x * component2.scaleX * scaleX)];
+                B = component3Line[0 | (x * component3.scaleX * scaleX)];
+              } else {
+                Y = component1Line[0 | (x * component1.scaleX * scaleX)];
+                Cb = component2Line[0 | (x * component2.scaleX * scaleX)];
+                Cr = component3Line[0 | (x * component3.scaleX * scaleX)];
+
+                R = clampTo8bit(Y + 1.402 * (Cr - 128));
+                G = clampTo8bit(Y - 0.3441363 * (Cb - 128) - 0.71413636 * (Cr - 128));
+                B = clampTo8bit(Y + 1.772 * (Cb - 128));
+              }
+
+              data[offset++] = R;
+              data[offset++] = G;
+              data[offset++] = B;
+            }
+          }
+          break;
+        case 4:
+          if (!this.adobe)
+            throw 'Unsupported color mode (4 components)';
+          // The default transform for four components is false
+          colorTransform = false;
+          // The adobe transform marker overrides any previous setting
+          if (this.adobe && this.adobe.transformCode)
+            colorTransform = true;
+          else if (typeof this.colorTransform !== 'undefined')
+            colorTransform = !!this.colorTransform;
+
+          component1 = this.components[0];
+          component2 = this.components[1];
+          component3 = this.components[2];
+          component4 = this.components[3];
+          for (y = 0; y < height; y++) {
+            component1Line = component1.lines[0 | (y * component1.scaleY * scaleY)];
+            component2Line = component2.lines[0 | (y * component2.scaleY * scaleY)];
+            component3Line = component3.lines[0 | (y * component3.scaleY * scaleY)];
+            component4Line = component4.lines[0 | (y * component4.scaleY * scaleY)];
+            for (x = 0; x < width; x++) {
+              if (!colorTransform) {
+                C = component1Line[0 | (x * component1.scaleX * scaleX)];
+                M = component2Line[0 | (x * component2.scaleX * scaleX)];
+                Ye = component3Line[0 | (x * component3.scaleX * scaleX)];
+                K = component4Line[0 | (x * component4.scaleX * scaleX)];
+              } else {
+                Y = component1Line[0 | (x * component1.scaleX * scaleX)];
+                Cb = component2Line[0 | (x * component2.scaleX * scaleX)];
+                Cr = component3Line[0 | (x * component3.scaleX * scaleX)];
+                K = component4Line[0 | (x * component4.scaleX * scaleX)];
+
+                C = 255 - clampTo8bit(Y + 1.402 * (Cr - 128));
+                M = 255 - clampTo8bit(Y - 0.3441363 * (Cb - 128) - 0.71413636 * (Cr - 128));
+                Ye = 255 - clampTo8bit(Y + 1.772 * (Cb - 128));
+              }
+              data[offset++] = C;
+              data[offset++] = M;
+              data[offset++] = Ye;
+              data[offset++] = K;
+            }
+          }
+          break;
+        default:
+          throw 'Unsupported color mode';
+      }
+      return data;
+    },
+    copyToImageData: function copyToImageData(imageData) {
+      var width = imageData.width, height = imageData.height;
+      var imageDataArray = imageData.data;
+      var data = this.getData(width, height);
+      var i = 0, j = 0, x, y;
+      var Y, K, C, M, R, G, B;
+      switch (this.components.length) {
+        case 1:
+          for (y = 0; y < height; y++) {
+            for (x = 0; x < width; x++) {
+              Y = data[i++];
+
+              imageDataArray[j++] = Y;
+              imageDataArray[j++] = Y;
+              imageDataArray[j++] = Y;
+              imageDataArray[j++] = 255;
+            }
+          }
+          break;
+        case 3:
+          for (y = 0; y < height; y++) {
+            for (x = 0; x < width; x++) {
+              R = data[i++];
+              G = data[i++];
+              B = data[i++];
+
+              imageDataArray[j++] = R;
+              imageDataArray[j++] = G;
+              imageDataArray[j++] = B;
+              imageDataArray[j++] = 255;
+            }
+          }
+          break;
+        case 4:
+          for (y = 0; y < height; y++) {
+            for (x = 0; x < width; x++) {
+              C = data[i++];
+              M = data[i++];
+              Y = data[i++];
+              K = data[i++];
+
+              R = 255 - clampTo8bit(C * (1 - K / 255) + K);
+              G = 255 - clampTo8bit(M * (1 - K / 255) + K);
+              B = 255 - clampTo8bit(Y * (1 - K / 255) + K);
+
+              imageDataArray[j++] = R;
+              imageDataArray[j++] = G;
+              imageDataArray[j++] = B;
+              imageDataArray[j++] = 255;
+            }
+          }
+          break;
+        default:
+          throw 'Unsupported color mode';
+      }
+    }
+  };
+
+  return constructor;
+})();
diff --git a/libs/png_support/png.js b/libs/png_support/png.js
new file mode 100755
index 000000000..83be09ee9
--- /dev/null
+++ b/libs/png_support/png.js
@@ -0,0 +1,461 @@
+// Generated by CoffeeScript 1.4.0
+
+/*
+# MIT LICENSE
+# Copyright (c) 2011 Devon Govett
+# 
+# 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.
+*/
+
+
+(function() {
+  var PNG;
+
+  PNG = (function() {
+    var APNG_BLEND_OP_OVER, APNG_BLEND_OP_SOURCE, APNG_DISPOSE_OP_BACKGROUND, APNG_DISPOSE_OP_NONE, APNG_DISPOSE_OP_PREVIOUS, makeImage, scratchCanvas, scratchCtx;
+
+    PNG.load = function(url, canvas, callback) {
+      var xhr,
+        _this = this;
+      if (typeof canvas === 'function') {
+        callback = canvas;
+      }
+      xhr = new XMLHttpRequest;
+      xhr.open("GET", url, true);
+      xhr.responseType = "arraybuffer";
+      xhr.onload = function() {
+        var data, png;
+        data = new Uint8Array(xhr.response || xhr.mozResponseArrayBuffer);
+        png = new PNG(data);
+        if (typeof (canvas != null ? canvas.getContext : void 0) === 'function') {
+          png.render(canvas);
+        }
+        return typeof callback === "function" ? callback(png) : void 0;
+      };
+      return xhr.send(null);
+    };
+
+    APNG_DISPOSE_OP_NONE = 0;
+
+    APNG_DISPOSE_OP_BACKGROUND = 1;
+
+    APNG_DISPOSE_OP_PREVIOUS = 2;
+
+    APNG_BLEND_OP_SOURCE = 0;
+
+    APNG_BLEND_OP_OVER = 1;
+
+    function PNG(data) {
+      var chunkSize, colors, delayDen, delayNum, frame, i, index, key, section, short, text, _i, _j, _ref;
+      this.data = data;
+      this.pos = 8;
+      this.palette = [];
+      this.imgData = [];
+      this.transparency = {};
+      this.animation = null;
+      this.text = {};
+      frame = null;
+      while (true) {
+        chunkSize = this.readUInt32();
+        section = ((function() {
+          var _i, _results;
+          _results = [];
+          for (i = _i = 0; _i < 4; i = ++_i) {
+            _results.push(String.fromCharCode(this.data[this.pos++]));
+          }
+          return _results;
+        }).call(this)).join('');
+        switch (section) {
+          case 'IHDR':
+            this.width = this.readUInt32();
+            this.height = this.readUInt32();
+            this.bits = this.data[this.pos++];
+            this.colorType = this.data[this.pos++];
+            this.compressionMethod = this.data[this.pos++];
+            this.filterMethod = this.data[this.pos++];
+            this.interlaceMethod = this.data[this.pos++];
+            break;
+          case 'acTL':
+            this.animation = {
+              numFrames: this.readUInt32(),
+              numPlays: this.readUInt32() || Infinity,
+              frames: []
+            };
+            break;
+          case 'PLTE':
+            this.palette = this.read(chunkSize);
+            break;
+          case 'fcTL':
+            if (frame) {
+              this.animation.frames.push(frame);
+            }
+            this.pos += 4;
+            frame = {
+              width: this.readUInt32(),
+              height: this.readUInt32(),
+              xOffset: this.readUInt32(),
+              yOffset: this.readUInt32()
+            };
+            delayNum = this.readUInt16();
+            delayDen = this.readUInt16() || 100;
+            frame.delay = 1000 * delayNum / delayDen;
+            frame.disposeOp = this.data[this.pos++];
+            frame.blendOp = this.data[this.pos++];
+            frame.data = [];
+            break;
+          case 'IDAT':
+          case 'fdAT':
+            if (section === 'fdAT') {
+              this.pos += 4;
+              chunkSize -= 4;
+            }
+            data = (frame != null ? frame.data : void 0) || this.imgData;
+            for (i = _i = 0; 0 <= chunkSize ? _i < chunkSize : _i > chunkSize; i = 0 <= chunkSize ? ++_i : --_i) {
+              data.push(this.data[this.pos++]);
+            }
+            break;
+          case 'tRNS':
+            this.transparency = {};
+            switch (this.colorType) {
+              case 3:
+                this.transparency.indexed = this.read(chunkSize);
+                if (short > 0) {
+                  for (i = _j = 0; 0 <= short ? _j < short : _j > short; i = 0 <= short ? ++_j : --_j) {
+                    this.transparency.indexed.push(255);
+                  }
+                }
+                break;
+              case 0:
+                this.transparency.grayscale = this.read(chunkSize)[0];
+                break;
+              case 2:
+                this.transparency.rgb = this.read(chunkSize);
+            }
+            break;
+          case 'tEXt':
+            text = this.read(chunkSize);
+            index = text.indexOf(0);
+            key = String.fromCharCode.apply(String, text.slice(0, index));
+            this.text[key] = String.fromCharCode.apply(String, text.slice(index + 1));
+            break;
+          case 'IEND':
+            if (frame) {
+              this.animation.frames.push(frame);
+            }
+            this.colors = (function() {
+              switch (this.colorType) {
+                case 0:
+                case 3:
+                case 4:
+                  return 1;
+                case 2:
+                case 6:
+                  return 3;
+              }
+            }).call(this);
+            this.hasAlphaChannel = (_ref = this.colorType) === 4 || _ref === 6;
+            colors = this.colors + (this.hasAlphaChannel ? 1 : 0);
+            this.pixelBitlength = this.bits * colors;
+            this.colorSpace = (function() {
+              switch (this.colors) {
+                case 1:
+                  //ADDED
+                  if(this.colorType == 3)
+                	  return 'Indexed';
+                  ////
+                  return 'DeviceGray';
+                case 3:
+                  return 'DeviceRGB';
+              }
+            }).call(this);
+            this.imgData = new Uint8Array(this.imgData);
+            return;
+          default:
+            this.pos += chunkSize;
+        }
+        this.pos += 4;
+        if (this.pos > this.data.length) {
+          throw new Error("Incomplete or corrupt PNG file");
+        }
+      }
+      return;
+    }
+
+    PNG.prototype.read = function(bytes) {
+      var i, _i, _results;
+      _results = [];
+      for (i = _i = 0; 0 <= bytes ? _i < bytes : _i > bytes; i = 0 <= bytes ? ++_i : --_i) {
+        _results.push(this.data[this.pos++]);
+      }
+      return _results;
+    };
+
+    PNG.prototype.readUInt32 = function() {
+      var b1, b2, b3, b4;
+      b1 = this.data[this.pos++] << 24;
+      b2 = this.data[this.pos++] << 16;
+      b3 = this.data[this.pos++] << 8;
+      b4 = this.data[this.pos++];
+      return b1 | b2 | b3 | b4;
+    };
+
+    PNG.prototype.readUInt16 = function() {
+      var b1, b2;
+      b1 = this.data[this.pos++] << 8;
+      b2 = this.data[this.pos++];
+      return b1 | b2;
+    };
+
+    PNG.prototype.decodePixels = function(data) {
+      var byte, c, col, i, left, length, p, pa, paeth, pb, pc, pixelBytes, pixels, pos, row, scanlineLength, upper, upperLeft, _i, _j, _k, _l, _m;
+      if (data == null) {
+        data = this.imgData;
+      }
+      if (data.length === 0) {
+        return new Uint8Array(0);
+      }
+      data = new FlateStream(data);
+      data = data.getBytes();
+      pixelBytes = this.pixelBitlength / 8;
+      scanlineLength = pixelBytes * this.width;
+      pixels = new Uint8Array(scanlineLength * this.height);
+      length = data.length;
+      row = 0;
+      pos = 0;
+      c = 0;
+      while (pos < length) {
+        switch (data[pos++]) {
+          case 0:
+            for (i = _i = 0; _i < scanlineLength; i = _i += 1) {
+              pixels[c++] = data[pos++];
+            }
+            break;
+          case 1:
+            for (i = _j = 0; _j < scanlineLength; i = _j += 1) {
+              byte = data[pos++];
+              left = i < pixelBytes ? 0 : pixels[c - pixelBytes];
+              pixels[c++] = (byte + left) % 256;
+            }
+            break;
+          case 2:
+            for (i = _k = 0; _k < scanlineLength; i = _k += 1) {
+              byte = data[pos++];
+              col = (i - (i % pixelBytes)) / pixelBytes;
+              upper = row && pixels[(row - 1) * scanlineLength + col * pixelBytes + (i % pixelBytes)];
+              pixels[c++] = (upper + byte) % 256;
+            }
+            break;
+          case 3:
+            for (i = _l = 0; _l < scanlineLength; i = _l += 1) {
+              byte = data[pos++];
+              col = (i - (i % pixelBytes)) / pixelBytes;
+              left = i < pixelBytes ? 0 : pixels[c - pixelBytes];
+              upper = row && pixels[(row - 1) * scanlineLength + col * pixelBytes + (i % pixelBytes)];
+              pixels[c++] = (byte + Math.floor((left + upper) / 2)) % 256;
+            }
+            break;
+          case 4:
+            for (i = _m = 0; _m < scanlineLength; i = _m += 1) {
+              byte = data[pos++];
+              col = (i - (i % pixelBytes)) / pixelBytes;
+              left = i < pixelBytes ? 0 : pixels[c - pixelBytes];
+              if (row === 0) {
+                upper = upperLeft = 0;
+              } else {
+                upper = pixels[(row - 1) * scanlineLength + col * pixelBytes + (i % pixelBytes)];
+                upperLeft = col && pixels[(row - 1) * scanlineLength + (col - 1) * pixelBytes + (i % pixelBytes)];
+              }
+              p = left + upper - upperLeft;
+              pa = Math.abs(p - left);
+              pb = Math.abs(p - upper);
+              pc = Math.abs(p - upperLeft);
+              if (pa <= pb && pa <= pc) {
+                paeth = left;
+              } else if (pb <= pc) {
+                paeth = upper;
+              } else {
+                paeth = upperLeft;
+              }
+              pixels[c++] = (byte + paeth) % 256;
+            }
+            break;
+          default:
+            throw new Error("Invalid filter algorithm: " + data[pos - 1]);
+        }
+        row++;
+      }
+      return pixels;
+    };
+
+    PNG.prototype.decodePalette = function() {
+      var c, i, length, palette, pos, ret, transparency, _i, _ref, _ref1;
+      palette = this.palette;
+      transparency = this.transparency.indexed || [];
+      ret = new Uint8Array((transparency.length || 0) + palette.length);
+      pos = 0;
+      length = palette.length;
+      c = 0;
+      for (i = _i = 0, _ref = palette.length; _i < _ref; i = _i += 3) {
+        ret[pos++] = palette[i];
+        ret[pos++] = palette[i + 1];
+        ret[pos++] = palette[i + 2];
+        ret[pos++] = (_ref1 = transparency[c++]) != null ? _ref1 : 255;
+      }
+      return ret;
+    };
+
+    PNG.prototype.copyToImageData = function(imageData, pixels) {
+      var alpha, colors, data, i, input, j, k, length, palette, v, _ref;
+      colors = this.colors;
+      palette = null;
+      alpha = this.hasAlphaChannel;
+      if (this.palette.length) {
+        palette = (_ref = this._decodedPalette) != null ? _ref : this._decodedPalette = this.decodePalette();
+        colors = 4;
+        alpha = true;
+      }
+      data = imageData.data || imageData;
+      length = data.length;
+      input = palette || pixels;
+      i = j = 0;
+      if (colors === 1) {
+        while (i < length) {
+          k = palette ? pixels[i / 4] * 4 : j;
+          v = input[k++];
+          data[i++] = v;
+          data[i++] = v;
+          data[i++] = v;
+          data[i++] = alpha ? input[k++] : 255;
+          j = k;
+        }
+      } else {
+        while (i < length) {
+          k = palette ? pixels[i / 4] * 4 : j;
+          data[i++] = input[k++];
+          data[i++] = input[k++];
+          data[i++] = input[k++];
+          data[i++] = alpha ? input[k++] : 255;
+          j = k;
+        }
+      }
+    };
+
+    PNG.prototype.decode = function() {
+      var ret;
+      ret = new Uint8Array(this.width * this.height * 4);
+      this.copyToImageData(ret, this.decodePixels());
+      return ret;
+    };
+
+    scratchCanvas = document.createElement('canvas');
+
+    scratchCtx = scratchCanvas.getContext('2d');
+
+    makeImage = function(imageData) {
+      var img;
+      scratchCtx.width = imageData.width;
+      scratchCtx.height = imageData.height;
+      scratchCtx.clearRect(0, 0, imageData.width, imageData.height);
+      scratchCtx.putImageData(imageData, 0, 0);
+      img = new Image;
+      img.src = scratchCanvas.toDataURL();
+      return img;
+    };
+
+    PNG.prototype.decodeFrames = function(ctx) {
+      var frame, i, imageData, pixels, _i, _len, _ref, _results;
+      if (!this.animation) {
+        return;
+      }
+      _ref = this.animation.frames;
+      _results = [];
+      for (i = _i = 0, _len = _ref.length; _i < _len; i = ++_i) {
+        frame = _ref[i];
+        imageData = ctx.createImageData(frame.width, frame.height);
+        pixels = this.decodePixels(new Uint8Array(frame.data));
+        this.copyToImageData(imageData, pixels);
+        frame.imageData = imageData;
+        _results.push(frame.image = makeImage(imageData));
+      }
+      return _results;
+    };
+
+    PNG.prototype.renderFrame = function(ctx, number) {
+      var frame, frames, prev;
+      frames = this.animation.frames;
+      frame = frames[number];
+      prev = frames[number - 1];
+      if (number === 0) {
+        ctx.clearRect(0, 0, this.width, this.height);
+      }
+      if ((prev != null ? prev.disposeOp : void 0) === APNG_DISPOSE_OP_BACKGROUND) {
+        ctx.clearRect(prev.xOffset, prev.yOffset, prev.width, prev.height);
+      } else if ((prev != null ? prev.disposeOp : void 0) === APNG_DISPOSE_OP_PREVIOUS) {
+        ctx.putImageData(prev.imageData, prev.xOffset, prev.yOffset);
+      }
+      if (frame.blendOp === APNG_BLEND_OP_SOURCE) {
+        ctx.clearRect(frame.xOffset, frame.yOffset, frame.width, frame.height);
+      }
+      return ctx.drawImage(frame.image, frame.xOffset, frame.yOffset);
+    };
+
+    PNG.prototype.animate = function(ctx) {
+      var doFrame, frameNumber, frames, numFrames, numPlays, _ref,
+        _this = this;
+      frameNumber = 0;
+      _ref = this.animation, numFrames = _ref.numFrames, frames = _ref.frames, numPlays = _ref.numPlays;
+      return (doFrame = function() {
+        var f, frame;
+        f = frameNumber++ % numFrames;
+        frame = frames[f];
+        _this.renderFrame(ctx, f);
+        if (numFrames > 1 && frameNumber / numFrames < numPlays) {
+          return _this.animation._timeout = setTimeout(doFrame, frame.delay);
+        }
+      })();
+    };
+
+    PNG.prototype.stopAnimation = function() {
+      var _ref;
+      return clearTimeout((_ref = this.animation) != null ? _ref._timeout : void 0);
+    };
+
+    PNG.prototype.render = function(canvas) {
+      var ctx, data;
+      if (canvas._png) {
+        canvas._png.stopAnimation();
+      }
+      canvas._png = this;
+      canvas.width = this.width;
+      canvas.height = this.height;
+      ctx = canvas.getContext("2d");
+      if (this.animation) {
+        this.decodeFrames(ctx);
+        return this.animate(ctx);
+      } else {
+        data = ctx.createImageData(this.width, this.height);
+        this.copyToImageData(data, this.decodePixels());
+        return ctx.putImageData(data, 0, 0);
+      }
+    };
+
+    return PNG;
+
+  })();
+
+  window.PNG = PNG;
+
+}).call(this);
diff --git a/libs/png_support/zlib.js b/libs/png_support/zlib.js
new file mode 100755
index 000000000..2d0f40b26
--- /dev/null
+++ b/libs/png_support/zlib.js
@@ -0,0 +1,464 @@
+/*
+ * Extracted from pdf.js
+ * https://github.com/andreasgal/pdf.js
+ *
+ * Copyright (c) 2011 Mozilla Foundation
+ *
+ * Contributors: Andreas Gal <gal@mozilla.com>
+ *               Chris G Jones <cjones@mozilla.com>
+ *               Shaon Barman <shaon.barman@gmail.com>
+ *               Vivien Nicolas <21@vingtetun.org>
+ *               Justin D'Arcangelo <justindarc@gmail.com>
+ *               Yury Delendik
+ *
+ * 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 DecodeStream = (function() {
+  function constructor() {
+    this.pos = 0;
+    this.bufferLength = 0;
+    this.eof = false;
+    this.buffer = null;
+  }
+
+  constructor.prototype = {
+    ensureBuffer: function decodestream_ensureBuffer(requested) {
+      var buffer = this.buffer;
+      var current = buffer ? buffer.byteLength : 0;
+      if (requested < current)
+        return buffer;
+      var size = 512;
+      while (size < requested)
+        size <<= 1;
+      var buffer2 = new Uint8Array(size);
+      for (var i = 0; i < current; ++i)
+        buffer2[i] = buffer[i];
+      return this.buffer = buffer2;
+    },
+    getByte: function decodestream_getByte() {
+      var pos = this.pos;
+      while (this.bufferLength <= pos) {
+        if (this.eof)
+          return null;
+        this.readBlock();
+      }
+      return this.buffer[this.pos++];
+    },
+    getBytes: function decodestream_getBytes(length) {
+      var pos = this.pos;
+
+      if (length) {
+        this.ensureBuffer(pos + length);
+        var end = pos + length;
+
+        while (!this.eof && this.bufferLength < end)
+          this.readBlock();
+
+        var bufEnd = this.bufferLength;
+        if (end > bufEnd)
+          end = bufEnd;
+      } else {
+        while (!this.eof)
+          this.readBlock();
+
+        var end = this.bufferLength;
+      }
+
+      this.pos = end;
+      return this.buffer.subarray(pos, end);
+    },
+    lookChar: function decodestream_lookChar() {
+      var pos = this.pos;
+      while (this.bufferLength <= pos) {
+        if (this.eof)
+          return null;
+        this.readBlock();
+      }
+      return String.fromCharCode(this.buffer[this.pos]);
+    },
+    getChar: function decodestream_getChar() {
+      var pos = this.pos;
+      while (this.bufferLength <= pos) {
+        if (this.eof)
+          return null;
+        this.readBlock();
+      }
+      return String.fromCharCode(this.buffer[this.pos++]);
+    },
+    makeSubStream: function decodestream_makeSubstream(start, length, dict) {
+      var end = start + length;
+      while (this.bufferLength <= end && !this.eof)
+        this.readBlock();
+      return new Stream(this.buffer, start, length, dict);
+    },
+    skip: function decodestream_skip(n) {
+      if (!n)
+        n = 1;
+      this.pos += n;
+    },
+    reset: function decodestream_reset() {
+      this.pos = 0;
+    }
+  };
+
+  return constructor;
+})();
+
+var FlateStream = (function() {
+  var codeLenCodeMap = new Uint32Array([
+    16, 17, 18, 0, 8, 7, 9, 6, 10, 5, 11, 4, 12, 3, 13, 2, 14, 1, 15
+  ]);
+
+  var lengthDecode = new Uint32Array([
+    0x00003, 0x00004, 0x00005, 0x00006, 0x00007, 0x00008, 0x00009, 0x0000a,
+    0x1000b, 0x1000d, 0x1000f, 0x10011, 0x20013, 0x20017, 0x2001b, 0x2001f,
+    0x30023, 0x3002b, 0x30033, 0x3003b, 0x40043, 0x40053, 0x40063, 0x40073,
+    0x50083, 0x500a3, 0x500c3, 0x500e3, 0x00102, 0x00102, 0x00102
+  ]);
+
+  var distDecode = new Uint32Array([
+    0x00001, 0x00002, 0x00003, 0x00004, 0x10005, 0x10007, 0x20009, 0x2000d,
+    0x30011, 0x30019, 0x40021, 0x40031, 0x50041, 0x50061, 0x60081, 0x600c1,
+    0x70101, 0x70181, 0x80201, 0x80301, 0x90401, 0x90601, 0xa0801, 0xa0c01,
+    0xb1001, 0xb1801, 0xc2001, 0xc3001, 0xd4001, 0xd6001
+  ]);
+
+  var fixedLitCodeTab = [new Uint32Array([
+    0x70100, 0x80050, 0x80010, 0x80118, 0x70110, 0x80070, 0x80030, 0x900c0,
+    0x70108, 0x80060, 0x80020, 0x900a0, 0x80000, 0x80080, 0x80040, 0x900e0,
+    0x70104, 0x80058, 0x80018, 0x90090, 0x70114, 0x80078, 0x80038, 0x900d0,
+    0x7010c, 0x80068, 0x80028, 0x900b0, 0x80008, 0x80088, 0x80048, 0x900f0,
+    0x70102, 0x80054, 0x80014, 0x8011c, 0x70112, 0x80074, 0x80034, 0x900c8,
+    0x7010a, 0x80064, 0x80024, 0x900a8, 0x80004, 0x80084, 0x80044, 0x900e8,
+    0x70106, 0x8005c, 0x8001c, 0x90098, 0x70116, 0x8007c, 0x8003c, 0x900d8,
+    0x7010e, 0x8006c, 0x8002c, 0x900b8, 0x8000c, 0x8008c, 0x8004c, 0x900f8,
+    0x70101, 0x80052, 0x80012, 0x8011a, 0x70111, 0x80072, 0x80032, 0x900c4,
+    0x70109, 0x80062, 0x80022, 0x900a4, 0x80002, 0x80082, 0x80042, 0x900e4,
+    0x70105, 0x8005a, 0x8001a, 0x90094, 0x70115, 0x8007a, 0x8003a, 0x900d4,
+    0x7010d, 0x8006a, 0x8002a, 0x900b4, 0x8000a, 0x8008a, 0x8004a, 0x900f4,
+    0x70103, 0x80056, 0x80016, 0x8011e, 0x70113, 0x80076, 0x80036, 0x900cc,
+    0x7010b, 0x80066, 0x80026, 0x900ac, 0x80006, 0x80086, 0x80046, 0x900ec,
+    0x70107, 0x8005e, 0x8001e, 0x9009c, 0x70117, 0x8007e, 0x8003e, 0x900dc,
+    0x7010f, 0x8006e, 0x8002e, 0x900bc, 0x8000e, 0x8008e, 0x8004e, 0x900fc,
+    0x70100, 0x80051, 0x80011, 0x80119, 0x70110, 0x80071, 0x80031, 0x900c2,
+    0x70108, 0x80061, 0x80021, 0x900a2, 0x80001, 0x80081, 0x80041, 0x900e2,
+    0x70104, 0x80059, 0x80019, 0x90092, 0x70114, 0x80079, 0x80039, 0x900d2,
+    0x7010c, 0x80069, 0x80029, 0x900b2, 0x80009, 0x80089, 0x80049, 0x900f2,
+    0x70102, 0x80055, 0x80015, 0x8011d, 0x70112, 0x80075, 0x80035, 0x900ca,
+    0x7010a, 0x80065, 0x80025, 0x900aa, 0x80005, 0x80085, 0x80045, 0x900ea,
+    0x70106, 0x8005d, 0x8001d, 0x9009a, 0x70116, 0x8007d, 0x8003d, 0x900da,
+    0x7010e, 0x8006d, 0x8002d, 0x900ba, 0x8000d, 0x8008d, 0x8004d, 0x900fa,
+    0x70101, 0x80053, 0x80013, 0x8011b, 0x70111, 0x80073, 0x80033, 0x900c6,
+    0x70109, 0x80063, 0x80023, 0x900a6, 0x80003, 0x80083, 0x80043, 0x900e6,
+    0x70105, 0x8005b, 0x8001b, 0x90096, 0x70115, 0x8007b, 0x8003b, 0x900d6,
+    0x7010d, 0x8006b, 0x8002b, 0x900b6, 0x8000b, 0x8008b, 0x8004b, 0x900f6,
+    0x70103, 0x80057, 0x80017, 0x8011f, 0x70113, 0x80077, 0x80037, 0x900ce,
+    0x7010b, 0x80067, 0x80027, 0x900ae, 0x80007, 0x80087, 0x80047, 0x900ee,
+    0x70107, 0x8005f, 0x8001f, 0x9009e, 0x70117, 0x8007f, 0x8003f, 0x900de,
+    0x7010f, 0x8006f, 0x8002f, 0x900be, 0x8000f, 0x8008f, 0x8004f, 0x900fe,
+    0x70100, 0x80050, 0x80010, 0x80118, 0x70110, 0x80070, 0x80030, 0x900c1,
+    0x70108, 0x80060, 0x80020, 0x900a1, 0x80000, 0x80080, 0x80040, 0x900e1,
+    0x70104, 0x80058, 0x80018, 0x90091, 0x70114, 0x80078, 0x80038, 0x900d1,
+    0x7010c, 0x80068, 0x80028, 0x900b1, 0x80008, 0x80088, 0x80048, 0x900f1,
+    0x70102, 0x80054, 0x80014, 0x8011c, 0x70112, 0x80074, 0x80034, 0x900c9,
+    0x7010a, 0x80064, 0x80024, 0x900a9, 0x80004, 0x80084, 0x80044, 0x900e9,
+    0x70106, 0x8005c, 0x8001c, 0x90099, 0x70116, 0x8007c, 0x8003c, 0x900d9,
+    0x7010e, 0x8006c, 0x8002c, 0x900b9, 0x8000c, 0x8008c, 0x8004c, 0x900f9,
+    0x70101, 0x80052, 0x80012, 0x8011a, 0x70111, 0x80072, 0x80032, 0x900c5,
+    0x70109, 0x80062, 0x80022, 0x900a5, 0x80002, 0x80082, 0x80042, 0x900e5,
+    0x70105, 0x8005a, 0x8001a, 0x90095, 0x70115, 0x8007a, 0x8003a, 0x900d5,
+    0x7010d, 0x8006a, 0x8002a, 0x900b5, 0x8000a, 0x8008a, 0x8004a, 0x900f5,
+    0x70103, 0x80056, 0x80016, 0x8011e, 0x70113, 0x80076, 0x80036, 0x900cd,
+    0x7010b, 0x80066, 0x80026, 0x900ad, 0x80006, 0x80086, 0x80046, 0x900ed,
+    0x70107, 0x8005e, 0x8001e, 0x9009d, 0x70117, 0x8007e, 0x8003e, 0x900dd,
+    0x7010f, 0x8006e, 0x8002e, 0x900bd, 0x8000e, 0x8008e, 0x8004e, 0x900fd,
+    0x70100, 0x80051, 0x80011, 0x80119, 0x70110, 0x80071, 0x80031, 0x900c3,
+    0x70108, 0x80061, 0x80021, 0x900a3, 0x80001, 0x80081, 0x80041, 0x900e3,
+    0x70104, 0x80059, 0x80019, 0x90093, 0x70114, 0x80079, 0x80039, 0x900d3,
+    0x7010c, 0x80069, 0x80029, 0x900b3, 0x80009, 0x80089, 0x80049, 0x900f3,
+    0x70102, 0x80055, 0x80015, 0x8011d, 0x70112, 0x80075, 0x80035, 0x900cb,
+    0x7010a, 0x80065, 0x80025, 0x900ab, 0x80005, 0x80085, 0x80045, 0x900eb,
+    0x70106, 0x8005d, 0x8001d, 0x9009b, 0x70116, 0x8007d, 0x8003d, 0x900db,
+    0x7010e, 0x8006d, 0x8002d, 0x900bb, 0x8000d, 0x8008d, 0x8004d, 0x900fb,
+    0x70101, 0x80053, 0x80013, 0x8011b, 0x70111, 0x80073, 0x80033, 0x900c7,
+    0x70109, 0x80063, 0x80023, 0x900a7, 0x80003, 0x80083, 0x80043, 0x900e7,
+    0x70105, 0x8005b, 0x8001b, 0x90097, 0x70115, 0x8007b, 0x8003b, 0x900d7,
+    0x7010d, 0x8006b, 0x8002b, 0x900b7, 0x8000b, 0x8008b, 0x8004b, 0x900f7,
+    0x70103, 0x80057, 0x80017, 0x8011f, 0x70113, 0x80077, 0x80037, 0x900cf,
+    0x7010b, 0x80067, 0x80027, 0x900af, 0x80007, 0x80087, 0x80047, 0x900ef,
+    0x70107, 0x8005f, 0x8001f, 0x9009f, 0x70117, 0x8007f, 0x8003f, 0x900df,
+    0x7010f, 0x8006f, 0x8002f, 0x900bf, 0x8000f, 0x8008f, 0x8004f, 0x900ff
+  ]), 9];
+
+  var fixedDistCodeTab = [new Uint32Array([
+    0x50000, 0x50010, 0x50008, 0x50018, 0x50004, 0x50014, 0x5000c, 0x5001c,
+    0x50002, 0x50012, 0x5000a, 0x5001a, 0x50006, 0x50016, 0x5000e, 0x00000,
+    0x50001, 0x50011, 0x50009, 0x50019, 0x50005, 0x50015, 0x5000d, 0x5001d,
+    0x50003, 0x50013, 0x5000b, 0x5001b, 0x50007, 0x50017, 0x5000f, 0x00000
+  ]), 5];
+  
+  function error(e) {
+      throw new Error(e)
+  }
+
+  function constructor(bytes) {
+    //var bytes = stream.getBytes();
+    var bytesPos = 0;
+
+    var cmf = bytes[bytesPos++];
+    var flg = bytes[bytesPos++];
+    if (cmf == -1 || flg == -1)
+      error('Invalid header in flate stream');
+    if ((cmf & 0x0f) != 0x08)
+      error('Unknown compression method in flate stream');
+    if ((((cmf << 8) + flg) % 31) != 0)
+      error('Bad FCHECK in flate stream');
+    if (flg & 0x20)
+      error('FDICT bit set in flate stream');
+
+    this.bytes = bytes;
+    this.bytesPos = bytesPos;
+
+    this.codeSize = 0;
+    this.codeBuf = 0;
+
+    DecodeStream.call(this);
+  }
+
+  constructor.prototype = Object.create(DecodeStream.prototype);
+
+  constructor.prototype.getBits = function(bits) {
+    var codeSize = this.codeSize;
+    var codeBuf = this.codeBuf;
+    var bytes = this.bytes;
+    var bytesPos = this.bytesPos;
+
+    var b;
+    while (codeSize < bits) {
+      if (typeof (b = bytes[bytesPos++]) == 'undefined')
+        error('Bad encoding in flate stream');
+      codeBuf |= b << codeSize;
+      codeSize += 8;
+    }
+    b = codeBuf & ((1 << bits) - 1);
+    this.codeBuf = codeBuf >> bits;
+    this.codeSize = codeSize -= bits;
+    this.bytesPos = bytesPos;
+    return b;
+  };
+
+  constructor.prototype.getCode = function(table) {
+    var codes = table[0];
+    var maxLen = table[1];
+    var codeSize = this.codeSize;
+    var codeBuf = this.codeBuf;
+    var bytes = this.bytes;
+    var bytesPos = this.bytesPos;
+
+    while (codeSize < maxLen) {
+      var b;
+      if (typeof (b = bytes[bytesPos++]) == 'undefined')
+        error('Bad encoding in flate stream');
+      codeBuf |= (b << codeSize);
+      codeSize += 8;
+    }
+    var code = codes[codeBuf & ((1 << maxLen) - 1)];
+    var codeLen = code >> 16;
+    var codeVal = code & 0xffff;
+    if (codeSize == 0 || codeSize < codeLen || codeLen == 0)
+      error('Bad encoding in flate stream');
+    this.codeBuf = (codeBuf >> codeLen);
+    this.codeSize = (codeSize - codeLen);
+    this.bytesPos = bytesPos;
+    return codeVal;
+  };
+
+  constructor.prototype.generateHuffmanTable = function(lengths) {
+    var n = lengths.length;
+
+    // find max code length
+    var maxLen = 0;
+    for (var i = 0; i < n; ++i) {
+      if (lengths[i] > maxLen)
+        maxLen = lengths[i];
+    }
+
+    // build the table
+    var size = 1 << maxLen;
+    var codes = new Uint32Array(size);
+    for (var len = 1, code = 0, skip = 2;
+         len <= maxLen;
+         ++len, code <<= 1, skip <<= 1) {
+      for (var val = 0; val < n; ++val) {
+        if (lengths[val] == len) {
+          // bit-reverse the code
+          var code2 = 0;
+          var t = code;
+          for (var i = 0; i < len; ++i) {
+            code2 = (code2 << 1) | (t & 1);
+            t >>= 1;
+          }
+
+          // fill the table entries
+          for (var i = code2; i < size; i += skip)
+            codes[i] = (len << 16) | val;
+
+          ++code;
+        }
+      }
+    }
+
+    return [codes, maxLen];
+  };
+
+  constructor.prototype.readBlock = function() {
+    function repeat(stream, array, len, offset, what) {
+      var repeat = stream.getBits(len) + offset;
+      while (repeat-- > 0)
+        array[i++] = what;
+    }
+
+    // read block header
+    var hdr = this.getBits(3);
+    if (hdr & 1)
+      this.eof = true;
+    hdr >>= 1;
+
+    if (hdr == 0) { // uncompressed block
+      var bytes = this.bytes;
+      var bytesPos = this.bytesPos;
+      var b;
+
+      if (typeof (b = bytes[bytesPos++]) == 'undefined')
+        error('Bad block header in flate stream');
+      var blockLen = b;
+      if (typeof (b = bytes[bytesPos++]) == 'undefined')
+        error('Bad block header in flate stream');
+      blockLen |= (b << 8);
+      if (typeof (b = bytes[bytesPos++]) == 'undefined')
+        error('Bad block header in flate stream');
+      var check = b;
+      if (typeof (b = bytes[bytesPos++]) == 'undefined')
+        error('Bad block header in flate stream');
+      check |= (b << 8);
+      if (check != (~blockLen & 0xffff))
+        error('Bad uncompressed block length in flate stream');
+
+      this.codeBuf = 0;
+      this.codeSize = 0;
+
+      var bufferLength = this.bufferLength;
+      var buffer = this.ensureBuffer(bufferLength + blockLen);
+      var end = bufferLength + blockLen;
+      this.bufferLength = end;
+      for (var n = bufferLength; n < end; ++n) {
+        if (typeof (b = bytes[bytesPos++]) == 'undefined') {
+          this.eof = true;
+          break;
+        }
+        buffer[n] = b;
+      }
+      this.bytesPos = bytesPos;
+      return;
+    }
+
+    var litCodeTable;
+    var distCodeTable;
+    if (hdr == 1) { // compressed block, fixed codes
+      litCodeTable = fixedLitCodeTab;
+      distCodeTable = fixedDistCodeTab;
+    } else if (hdr == 2) { // compressed block, dynamic codes
+      var numLitCodes = this.getBits(5) + 257;
+      var numDistCodes = this.getBits(5) + 1;
+      var numCodeLenCodes = this.getBits(4) + 4;
+
+      // build the code lengths code table
+      var codeLenCodeLengths = Array(codeLenCodeMap.length);
+      var i = 0;
+      while (i < numCodeLenCodes)
+        codeLenCodeLengths[codeLenCodeMap[i++]] = this.getBits(3);
+      var codeLenCodeTab = this.generateHuffmanTable(codeLenCodeLengths);
+
+      // build the literal and distance code tables
+      var len = 0;
+      var i = 0;
+      var codes = numLitCodes + numDistCodes;
+      var codeLengths = new Array(codes);
+      while (i < codes) {
+        var code = this.getCode(codeLenCodeTab);
+        if (code == 16) {
+          repeat(this, codeLengths, 2, 3, len);
+        } else if (code == 17) {
+          repeat(this, codeLengths, 3, 3, len = 0);
+        } else if (code == 18) {
+          repeat(this, codeLengths, 7, 11, len = 0);
+        } else {
+          codeLengths[i++] = len = code;
+        }
+      }
+
+      litCodeTable =
+        this.generateHuffmanTable(codeLengths.slice(0, numLitCodes));
+      distCodeTable =
+        this.generateHuffmanTable(codeLengths.slice(numLitCodes, codes));
+    } else {
+      error('Unknown block type in flate stream');
+    }
+
+    var buffer = this.buffer;
+    var limit = buffer ? buffer.length : 0;
+    var pos = this.bufferLength;
+    while (true) {
+      var code1 = this.getCode(litCodeTable);
+      if (code1 < 256) {
+        if (pos + 1 >= limit) {
+          buffer = this.ensureBuffer(pos + 1);
+          limit = buffer.length;
+        }
+        buffer[pos++] = code1;
+        continue;
+      }
+      if (code1 == 256) {
+        this.bufferLength = pos;
+        return;
+      }
+      code1 -= 257;
+      code1 = lengthDecode[code1];
+      var code2 = code1 >> 16;
+      if (code2 > 0)
+        code2 = this.getBits(code2);
+      var len = (code1 & 0xffff) + code2;
+      code1 = this.getCode(distCodeTable);
+      code1 = distDecode[code1];
+      code2 = code1 >> 16;
+      if (code2 > 0)
+        code2 = this.getBits(code2);
+      var dist = (code1 & 0xffff) + code2;
+      if (pos + len >= limit) {
+        buffer = this.ensureBuffer(pos + len);
+        limit = buffer.length;
+      }
+      for (var k = 0; k < len; ++k, ++pos)
+        buffer[pos] = buffer[pos - dist];
+    }
+  };
+
+  return constructor;
+})();
\ No newline at end of file

From a0db64ae6f3aa0543a01ae56ca7c41761f94321d Mon Sep 17 00:00:00 2001
From: jamesrobb <james@jamesrobb.com>
Date: Sun, 16 Feb 2014 00:35:25 +0000
Subject: [PATCH 3/7] Added example file

Added example file
added transparent parameter for greater control of canvas output when
adding a DOM element
---
 examples/images.html           | 121 +++++++++++++++++++++++++++++++++
 examples/images/24_bit.png     | Bin 0 -> 36615 bytes
 examples/images/32_bit.png     | Bin 0 -> 44856 bytes
 examples/images/jpg.jpg        | Bin 0 -> 12405 bytes
 examples/images/png8_trans.png | Bin 0 -> 13595 bytes
 jspdf.plugin.addimage.js       |  32 +++++++--
 6 files changed, 146 insertions(+), 7 deletions(-)
 create mode 100644 examples/images.html
 create mode 100644 examples/images/24_bit.png
 create mode 100644 examples/images/32_bit.png
 create mode 100644 examples/images/jpg.jpg
 create mode 100644 examples/images/png8_trans.png

diff --git a/examples/images.html b/examples/images.html
new file mode 100644
index 000000000..f4397c4d0
--- /dev/null
+++ b/examples/images.html
@@ -0,0 +1,121 @@
+<!DOCTYPE html>
+
+  <head>
+    
+    <title>jsPDF png test</title>
+    
+    <meta charset="utf-8">
+    <meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1">
+    <meta name="description" content="">
+    
+    <script type="text/javascript" src="js/jquery/jquery-1.7.1.min.js"></script>
+	<script type="text/javascript" src="../libs/FileSaver.js/FileSaver.js"></script>
+	<script type="text/javascript" src="../libs/Blob.js/Blob.js"></script>
+    
+    <script src='../libs/png_support/zlib.js' type='text/javascript'></script>
+	<script src='../libs/png_support/png.js' type='text/javascript'></script>
+	<script src='../libs/png_support/jpg.js' type='text/javascript'></script>
+	<script src='../libs/png_support/arrayBufferToBase64.js' type='text/javascript'></script>
+	
+	<script type="text/javascript" src="../jspdf.js"></script>
+    <script type="text/javascript" src="../jspdf.plugin.addimage.js"></script>
+   	
+  </head>
+  
+  <body style="background-color:#000000">
+  
+	<script type="text/javascript">
+	
+		function createFromBase64Jpeg() {
+			
+			var jpgData = 'data:image/jpeg;base64,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';
+		
+			createPDFObject(jpgData, 'base64 jpg', 'jpg');
+		}
+		
+		function createFromJpegImg() {
+			
+			var img = document.getElementById('jpg');
+			
+			createPDFObject(img, 'jpg <img>', 'jpg');
+		}
+	
+		function createFromBase6432BitPng() {
+			
+			var png32bit = 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';
+			
+			createPDFObject(png32bit, '32 bit base64 png', 'png');
+		}
+		
+		function createFrom32BitPngImg() {
+			
+			var img = document.getElementById('32_bit');
+			
+			createPDFObject(img, '32 bit png <img>', 'png', true);
+		}
+		
+		function createFromBase6424BitPng() {
+			
+			var png24bit = 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';
+			
+			createPDFObject(png24bit, '24 bit base64 png', 'png');
+		}
+		
+		function createFrom24BitPngImg() {
+			
+			var img = document.getElementById('24_bit');
+			
+			createPDFObject(img, '24 bit png <img>', 'png');
+		}
+		
+		function createFromBase648BitPng() {
+			
+			var png24bit = 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';
+			
+			createPDFObject(png24bit, '8 bit base64 png', 'png');
+		}
+		
+		function createFrom8BitPngImg() {
+			
+			var img = document.getElementById('8_bit');
+			
+			createPDFObject(img, '8 bit png <img>', 'png', true);
+		}
+		
+		function createPDFObject(imgData, type, format, transparency) {
+			
+			transparency = transparency || false;
+			
+			var doc = new jsPDF('p', 'pt');
+	
+			doc.setFontSize(40);
+			doc.setDrawColor(0);
+			doc.setFillColor(255, 0, 0);
+			doc.rect(0, 0, 595.28,  841.89, 'F');
+			doc.text(35, 100, type + " test");
+			doc.addImage(imgData, format, 100, 200, 280, 210, null, transparency);
+			
+			doc.save( type + ' test.pdf')
+		}
+	
+	</script>
+	
+	<img id="jpg" src="images/jpg.jpg"/>
+  	<input type="button" value="Generate from base64 jpg" onclick="createFromBase64Jpeg()" />
+  	<input type="button" value="Generate from jpg <img>" onclick="createFromJpegImg()" />
+  	<br/>
+	<img id="32_bit" src="images/32_bit.png"/>
+  	<input type="button" value="Generate from 32 bit png" onclick="createFromBase6432BitPng()" />
+  	<input type="button" value="Generate from 32 bit <img>" onclick="createFrom32BitPngImg()" />
+  	<br/>
+  	<img id="24_bit" src="images/24_bit.png"/>
+  	<input type="button" value="Generate from 24 bit png" onclick="createFromBase6424BitPng()" />
+  	<input type="button" value="Generate from 24 bit <img>" onclick="createFrom24BitPngImg()" />
+  	<br/>
+  	<img id="8_bit" src="images/png8_trans.png"/>
+  	<input type="button" value="Generate from 8 bit png" onclick="createFromBase648BitPng()" />
+  	<input type="button" value="Generate from 8 bit <img>" onclick="createFrom8BitPngImg()" />
+  	<br/>
+  </body>
+  
+</html>
\ No newline at end of file
diff --git a/examples/images/24_bit.png b/examples/images/24_bit.png
new file mode 100644
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zvhI>Wr^uU>KyY3UnpjC)Q3(%wemHLNQ6B#@CfRT-We_uyP=VaI*hnc(MdxrQe`Exw
zLI&n^unG#dmQJiWK!_-Fq2g5<<OSxP&o^|B<VYAWj}MOXgOZA#$<Dg+^-PR{z}Tyy
z58-YhnAg3f(m&>(B0M&=TkvpP|Dfj7;5bnZT;D&y9$9=i&akc7=m&u>_}N+ln%=9^
zll8*Pf6GG#ln0!J+6Qk3t4anqIdj!b$C|=`+)!Cfzv9;|podD!0k)d3&Qod#mO#F`
zX>7W{+`?Zb2n!`;^-;{@@GXP;8?0-B<Vc{6XyopGvc5+0;*ZMGyQ}LnS_oX5XaOD~
zxp9QM>QD3d!3ehc_qW?u<lyqT`N3OJul!dbwQ_R}Wpn-aK|T8d8cD6_Ur35u2AbP@
zBLp@FhT>5s9^r`2Keft&|9kQBLkH)7mNEaIrzrka;Vg(*9kzLo2LpWL2z@IE%H99x
Pb0t+pErohHMCAVf>&V&y

literal 0
HcmV?d00001

diff --git a/jspdf.plugin.addimage.js b/jspdf.plugin.addimage.js
index e8ce7e96a..846a5269d 100644
--- a/jspdf.plugin.addimage.js
+++ b/jspdf.plugin.addimage.js
@@ -189,6 +189,9 @@ var getJpegSize = function(imgData) {
 			object instanceof Float64Array );
 }
 , binaryStringToUint8Array = function(binary_string) {
+	/*
+	 * not sure how efficient this will be will bigger files. Is there a native method?
+	 */
 	var len = binary_string.length;
     var bytes = new Uint8Array( len );
     for (var i = 0; i < len; i++) {
@@ -197,6 +200,20 @@ var getJpegSize = function(imgData) {
     return bytes;
 }
 , arrayBufferToBinaryString = function( array_buffer ) {
+	/*
+	 * @see this discussion
+	 * http://stackoverflow.com/questions/6965107/converting-between-strings-and-arraybuffers
+	 * 
+	 * As stated, i imagine the method below is highly inefficent for large files. Also of note from Mozilla,
+	 * 
+	 * "However, this is slow and error-prone, due to the need for multiple conversions (especially if the binary data is not actually byte-format data, but, for example, 32-bit integers or floats)."
+	 * 
+	 * https://developer.mozilla.org/en-US/Add-ons/Code_snippets/StringView
+	 * 
+	 * Although i'm strugglig to see how it solves this issue? Doesn't appear to be a direct method for conversion?
+	 * 
+	 * Async method using Blob and FileReader could be best, but i'm not sure how to fit it into this flow?
+	 */
     /*var binary_string = '';
     //var bytes = new Uint8Array( array_buffer );
     var bytes = array_buffer;
@@ -209,9 +226,7 @@ var getJpegSize = function(imgData) {
 	if(isArrayBufferView())
 		array_buffer = array_buffer.buffer;
 	
-	var base64 = base64ArrayBuffer(array_buffer);
-	
-	return window.atob(base64);
+	return window.atob(base64ArrayBuffer(array_buffer));
 }
 , createImageInfo = function(data, wd, ht, cs, bpc, f, imageIndex, alias, dp, trns, pal, smask) {
 	var info = {
@@ -243,11 +258,13 @@ var getJpegSize = function(imgData) {
 	return info;
 };
 
-jsPDFAPI.addImage = function(imageData, format, x, y, w, h, alias) {
+jsPDFAPI.addImage = function(imageData, format, x, y, w, h, alias, transparency) {
 	'use strict'
 	var images = this.internal.collections[namespace + 'images'],
 		cached_info,
 		binaryStringData;
+	
+	transparency = transparency || false;
 
 	if(typeof format === 'number') {
 		var tmp = h;
@@ -272,7 +289,7 @@ jsPDFAPI.addImage = function(imageData, format, x, y, w, h, alias) {
             throw ('addImage requires canvas to be supported by browser.');
         }
         ctx.drawImage(imageData, 0, 0, canvas.width, canvas.height);
-        imageData = canvas.toDataURL();
+        imageData = canvas.toDataURL(transparency ? 'image/png' : 'image/jpeg');
 	    format = "png";
 	}
 	
@@ -433,8 +450,9 @@ jsPDFAPI.addImage = function(imageData, format, x, y, w, h, alias) {
 				if(img.palette && img.palette.length > 0)
 					pal = img.palette;
 				
-				if(img.transparency.indexed)
-					trns = img.transparency.indexed;
+				//I'm not sure the output from png.js is correct for this?
+				/*if(img.transparency.indexed)
+					trns = img.transparency.indexed;*/
 				
 				info = createImageInfo(arrayBufferToBinaryString(imageData),
 									   img.width,

From 3270cdbfd9ed4320fccfe94f93531a372942d19c Mon Sep 17 00:00:00 2001
From: jamesrobb <james@jamesrobb.com>
Date: Wed, 19 Feb 2014 22:41:25 +0000
Subject: [PATCH 4/7] added compression

heavy refactoring - separated png functionality into separate plugin
added compression to transparent pngs
added png filter method 0
fixed indexed png colour issues, but still no transparency
made addImage method scaleable for new formats
---
 examples/images.html                    |  50 +-
 jspdf.plugin.addimage.js                | 906 +++++++++++++-----------
 jspdf.plugin.png_support.js             | 216 ++++++
 libs/png_support/arrayBufferToBase64.js |  55 --
 libs/png_support/zpipe.min.js           | 408 +++++++++++
 5 files changed, 1146 insertions(+), 489 deletions(-)
 create mode 100755 jspdf.plugin.png_support.js
 delete mode 100644 libs/png_support/arrayBufferToBase64.js
 create mode 100644 libs/png_support/zpipe.min.js

diff --git a/examples/images.html b/examples/images.html
index f4397c4d0..65e54fee4 100644
--- a/examples/images.html
+++ b/examples/images.html
@@ -7,18 +7,19 @@
     <meta charset="utf-8">
     <meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1">
     <meta name="description" content="">
-    
-    <script type="text/javascript" src="js/jquery/jquery-1.7.1.min.js"></script>
+
+	<script type="text/javascript" src="js/jquery/jquery-1.7.1.min.js"></script>
 	<script type="text/javascript" src="../libs/FileSaver.js/FileSaver.js"></script>
 	<script type="text/javascript" src="../libs/Blob.js/Blob.js"></script>
-    
-    <script src='../libs/png_support/zlib.js' type='text/javascript'></script>
+
+	<script src='../libs/png_support/zlib.js' type='text/javascript'></script>
 	<script src='../libs/png_support/png.js' type='text/javascript'></script>
 	<script src='../libs/png_support/jpg.js' type='text/javascript'></script>
-	<script src='../libs/png_support/arrayBufferToBase64.js' type='text/javascript'></script>
-	
-	<script type="text/javascript" src="../jspdf.js"></script>
-    <script type="text/javascript" src="../jspdf.plugin.addimage.js"></script>
+	<script src='../libs/png_support/zpipe.min.js' type='text/javascript'></script>
+
+	<script src='../jspdf.js' type='text/javascript'></script>
+    <script src='../jspdf.plugin.addimage.js' type='text/javascript'></script>
+    <script src='../jspdf.plugin.png_support.js' type='text/javascript'></script>
    	
   </head>
   
@@ -30,7 +31,7 @@
 			
 			var jpgData = 'data:image/jpeg;base64,/9j/4QAYRXhpZgAASUkqAAgAAAAAAAAAAAAAAP/sABFEdWNreQABAAQAAABGAAD/4QMtaHR0cDovL25zLmFkb2JlLmNvbS94YXAvMS4wLwA8P3hwYWNrZXQgYmVnaW49Iu+7vyIgaWQ9Ilc1TTBNcENlaGlIenJlU3pOVGN6a2M5ZCI/PiA8eDp4bXBtZXRhIHhtbG5zOng9ImFkb2JlOm5zOm1ldGEvIiB4OnhtcHRrPSJBZG9iZSBYTVAgQ29yZSA1LjMtYzAxMSA2Ni4xNDU2NjEsIDIwMTIvMDIvMDYtMTQ6NTY6MjcgICAgICAgICI+IDxyZGY6UkRGIHhtbG5zOnJkZj0iaHR0cDovL3d3dy53My5vcmcvMTk5OS8wMi8yMi1yZGYtc3ludGF4LW5zIyI+IDxyZGY6RGVzY3JpcHRpb24gcmRmOmFib3V0PSIiIHhtbG5zOnhtcD0iaHR0cDovL25zLmFkb2JlLmNvbS94YXAvMS4wLyIgeG1sbnM6eG1wTU09Imh0dHA6Ly9ucy5hZG9iZS5jb20veGFwLzEuMC9tbS8iIHhtbG5zOnN0UmVmPSJodHRwOi8vbnMuYWRvYmUuY29tL3hhcC8xLjAvc1R5cGUvUmVzb3VyY2VSZWYjIiB4bXA6Q3JlYXRvclRvb2w9IkFkb2JlIFBob3Rvc2hvcCBDUzYgKE1hY2ludG9zaCkiIHhtcE1NOkluc3RhbmNlSUQ9InhtcC5paWQ6OURFMTU0MDM4RUJEMTFFM0FEMkRCRERBRjBENkQwRjgiIHhtcE1NOkRvY3VtZW50SUQ9InhtcC5kaWQ6OURFMTU0MDQ4RUJEMTFFM0FEMkRCRERBRjBENkQwRjgiPiA8eG1wTU06RGVyaXZlZEZyb20gc3RSZWY6aW5zdGFuY2VJRD0ieG1wLmlpZDo5REUxNTQwMThFQkQxMUUzQUQyREJEREFGMEQ2RDBGOCIgc3RSZWY6ZG9jdW1lbnRJRD0ieG1wLmRpZDo5REUxNTQwMjhFQkQxMUUzQUQyREJEREFGMEQ2RDBGOCIvPiA8L3JkZjpEZXNjcmlwdGlvbj4gPC9yZGY6UkRGPiA8L3g6eG1wbWV0YT4gPD94cGFja2V0IGVuZD0iciI/Pv/uAA5BZG9iZQBkwAAAAAH/2wCEAAQDAwMDAwQDAwQGBAMEBgcFBAQFBwgGBgcGBggKCAkJCQkICgoMDAwMDAoMDA0NDAwRERERERQUFBQUFBQUFBQBBAUFCAcIDwoKDxQODg4UFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFP/AABEIANIBGAMBEQACEQEDEQH/xACpAAEAAgIDAQEAAAAAAAAAAAAABgcFCAIDBAEJAQEAAQUBAQAAAAAAAAAAAAAABQIDBAYHAQgQAAEDAwMCAwYEBQMEAwAAAAEAAgMRBAUhEgYxB0FRE2FxIjIUCIGRoUKxUmIjFdEzQ3KCoiSSYxgRAAICAgEDAgMFBAoBBQAAAAABAgMRBAUhMRJBBlEiE2FxkTIUgaHBQvCx0eFSYoIjFQfxokMkFhf/2gAMAwEAAhEDEQA/AN/kAQBAEAQBAEAQBAEBxMkbTRz2g+0gL3DB9Dmu6OB9xTAPq8AQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAdc08NvE6ad7Y4mCr3vNAAPMlVRi5PC7gqTlXffEWV4/C8ThOazI+GkWsbT7aLatT29ZKH1Ln9OJYlauyNcu5nfHu3YXhs7q4ZjvV+SGM0LQfMCi6D7c4Tjbm8rywYl1k0VLcd5OcRzepPmpnv8gT/AKre5cPppYjUjG+pL4n2Hvx3ItpRJbZeSg6NJNP4rE2OF42MfGUVk9Vky0+EfeHyrDXMFryyEXtm6gdINXBvn5rSOU9oU2Qc9fuZMNhrubi8D7i8b7hYtmSwVy2QkAyQVG9p9y5Nt6dmtPxmsGfGSfYlqwioIAgCAIAgCAIDAci5nx7i8LpcteMjcP8AjBBcfwVudkY92WbLow7sp7NfdBgbWZ0WMtvXDTTcamv5KOs5GEexFW8rXHsdGM+5/Hzysbe2gjY403UIosGXMxi+qI6XPxi+qLc473B47yOJj7W5ayR4rscQpHX5Gm7syV1eVov7PqSoODgHNNQehCkiXTPqAIAgCAIAgCAIAgCAIAgCAIDCco5XhOIYuXK5u5Zb28TSQHEBziPABZmpp27M1CtZZTKSS6mh/en7oM3zG6mw/G5HWWDaS3ew0c8dK1XZuG9rQ1Yec15TI6y/y6IqPjHdXknDnXMmIINzcg7531LxX2rYruIpvS+t+BaVjXYhPJOY8h5JkX3t/O+W4caueSdFY3Nirj4xjTFI9inPueSLIyMIM3x06rL1PcFc/wA/RlMqn6GRt5xP8bDtb4krNst19jDyUpNHZPSV4duJI0BUrCuMV8vYobJz2q7mZrtpyO2ydjO/6IvaLq3qdpbXU0Wrc9wFe7W2l8xeqtcWfpzwnl2O5tx60z2NeHRXDAXtBrtdTUL5529WevY4TXVEtGWVkkKxCoIAgCAIDjJIyJhkkcGMaKuc40ACHjeCi+6vfyw45HLi+POFxkCC10rTUNPsULt8godI9WQG9yqr+WHVmsU13y7uLkJXukkuH1LnipLW1Wvwttvlg1Wu6/Zm0urI9kbC6wl0ba8bskb1CsTpshPEjHsosrniRm+KXOMmylrHk6Gyc8NkPlXxVnMfNKXYsZh9RKXYtLm+Nbws2uT47d7rO4a18Zjd0r50XuzpfSmpwfQbnHfQmrK38rJr2z71XUTY7LkLqxOIa2RykdPl3CShPsS2hzjrmq59UbE2N9bZK2ju7SQSQyCrXBblCakso3+E1NZXY9KrLgQBAEAQBAEAQBAEAQBARLuF3AwvbvAT5rLSgOa0+hDX4nvClOO4+zctUIftKJzUVk/N7u13m5J3Ny80t1O+LFtcRBag0btrpUBfQPDcJTo1rxWZfEirLHJlbMiYW75HUHgFK37Dh0isstpGSxGCy+fc60wVjJdTHRzmNJA95UNtbP04+d0vFL0LkY56IxWW49lMLfHG38HpXY+Zp6habduLblmPVGSo+IZgJWN9a5dti608SqVqNvqPI4uIA2MFGDoAsuPy9iktX7fuDWHcHnNviMmQbWMb3Rn92ql+W5mdPH+UPzFuutOfUtP7pO0HHuC2mOyeDYIHTfA+JtNaaKK9nc3dsSlXa8lzYrS6o9X2h90JcPmH8MyspFjd62286B3sr5J714dTh+oguq7jWsw8M3qXFSRCAIAgOueeK2hfcTuDIYwXPcegAXjeDxtJZZqv3o76XFw+bAcck2Qtq2SZp1PgtZ3+Qf5YGncnykn8sDWya5uLmR007y+V5q57jUla87ehqzvePtLl7Icz4zxuK/izQDZpA7Y808Qpji7oV5cif4bYhVlyK37lcjss3n558eP7G47Sqtp/Xsyux7uy/U25XYiVlM9rzGHEbtR71ZnTFosWa8HHBlbnOZqeCO0muXS28PyMca0orE6nKPi2Y9lLnHxb6En45cTXFq6Wdri2PXcK009q1/aolB9DVt3XnXLobAdlO5xjvBx+/efQcdsZd+i2nh91xXhNm6cDyDglCbNkmkOAc01aRUH2Fbkb8nk+oehAEAQBAEAQBAEAQBAfnX91/dM53nk3G45SLPG1YI6/CSNOi677W0nGrPbyMC+XU10NxG8l1eq6lXOEUo5MJo+PlbSjTuPgBqsTe3IURy+rPYxbLd4X30ueBcQkw+Kw0EF6+okyUrQXmvl4rmG5o7HJXZbePgZsZKCIhZXlzya+u+S5uUyuJLyXeJUm+OjpJQT6lHn5GAyN/JeTvcDSKtGNHSi9yDwrwGe4bzPM8EzsGfwkvpXcJ/AjyKy6K67s1W/lkUttdUS7nveDlHc6+gn5FMHRQikUTflC2HW9v0akP9nuWna5PqYWzzknH8lY5eydtuLSRrwW6EgHULJur+vB1v1RSnh5P087Ycut+a8NxuaheHvfE1stDU7gPFfO3J6j1tiUH8SXhLyWSYqLKwgCApnv5zSXC4YYWweW3l2KHadfi6BQfKbf0o+K7s1zmt76MPFd2ak5TiOftbN2YyMbmwyVcHOBqa+K1+WvbKHljoatPUulX546ELuL5oeGRHd50WPCpY+0xa6Fjr3OMslxtDnMcxp6EghZdWtjqzOo08dWeetdVmpYJFLB2Qv9ORr/ACK8kso8ksol1zinf4+LKQtrE4DcfBYjymYEsp4LF7S5zjghu8Hno2tiuGu9Gc+Diqozh1hMrhOt5hZ6kdvL1vHOSvuMbJughk3Rvb5VUHJ+EsL0Ncm/pzai+3Y3K7V8yt+Xcdhla/dcRNAeK60W+8bs/VqXxR03iNv69Kz3RO1Kk0EAQBAEAQBAEAQBAdc9fRk2/NtdT30Xse4PzD7pcXffc/zNw2A3N26Z1WgVdSq75xF9UNeKl06EXYnkh3+JtdjrOe1LZwabaEO/JTXhmamn0LWTGT8Xj3OdaPdBcDoHDSvuKh9611WZkvKLLkVlEIzdrmLK6DMm50jAfgd+ynsHRS2ps1Sj8hRJP1JXY5DZgW27DTf81PJa9vT8r5F2PY8KwyoNa6Q0YKlepN9gT3jvZrm3KcJPnMdZE2UTS6pBq4DyUVsclXRYot9StQbRB/p5bKeazuqx3EDi17T4ELpnE7qvrXUw7I4ZxdOHaufUe9TUa0mW8m7/ANlHLZrrF3/HJ3ExwHdDX2ain4LjPvvSULY2L1JDVllYNvFyszggCA1G775cQ86t5bo1t7aQFzD0o0rSeXm/rrPY51ztj/ULPZGM7pdyeO5niNtj8UwG4MYY4CmlPcpP9fXKtQXcmf8Ak6pUqC7lM9vcBZ5Xktja5FwZbyyVcXHQ+xY9UI+aRi01wc0i4u+XGeNYDFQNx/ph2wbdhFToprYhBQNg2oQjX0KS4dxm75fnIMNZ/PKfid5NUVXW5PBC1VOcsEs7kdsn8HbH8Zcf3V81lX63hHJm7Op9OOSyu3/F7LO9r5Rc0E+2sZPWoBUNc1Hqa/fJR6lKz28uHyktnISA1xDT+KwrkrIZRH3pW1+SMrbWxvHNhaayykBtfElRf5unqQv58L1Lq7P3+W4JyCHHZRjo7K9oYz+3XqFO8bZPXs8ZdmbLxFs9W1Rn2kbYMe2RjXsNWuAIPsK3lHR08nJD0IAgCAIAgCAIAgBFRQ9EBov3wsrrt/3NflmRVsr07g4irdTUdV1XjqlyGh4xeJxMGb8JEGzWZwj8pY8ht4ozMSPWiA+E19iyONq3Z69lE8prszybjlM7+TO4/dPs+QW8TGfGPqIG0AKj9K/Zsrnr2p+UezKpKKeUeTnXF+NcmwrcjjYWwvaB6sYpTp1CieN5G+q/wl3TLk4JopnI4g4wbGikbdGj2Ld5v6nz/Exu3QxZKsnp78VLDHITJSvhVZevOMX1KWjfDtH3k7bYftWYMjdxW9/aQvbLbOA3vdtoKfiud8rx1tm23FZTZlwmlE0T5fk4c7yfJZK0bsgup3uiA/lJ0W88bKdDikY0+pH5MZcxXMbXOPpu1ounaj+pJdTCl0NwfsvZMOUXjWD+yxnxH/tWhf8AYdUIUx+JlajeTetcGJQIAgNT/uc406PJsywBEMoBLqaVOh/Vavy1eHk0znKkn5GukWPaIztk3+xatXnzNMqz9Q6ZbiSzYya2eY543Va5vUFTtMsvJslE8vJ5MtnsxmdoyN0+cMFGhxWc5t9yTdjl3Zk+BctuuFcggzduzeY9HMPiFVCzweT2u3wlkkvcrufddwruMmL0YairQKaq7fsOzoXtjbdqwSrjPKv8Zxw2MUgYyNnStNaKA23lYXc1nek2vFd2VzyDJNvZ3XJLd9akg6rBrhbH06EbVXdD06HPF5RhEb2P2zRkFp9oWLZFxlkwrYyjPJbt13OtsngbC3u4QMrZObsnA1IFPFST3lKCz+ZEu+RU64qS+aJtZwTJuy3GLG6eav2BpPuC3nUs86kzpGjb9SlMkiyzOCAIAgCAIAgCAIAgKX+47t6zmPD5b63jrkLAb2kDUtGv6LbfbXIfp9hRf5ZFi6GUaCGGWGR0EoIfGS1zT4EaFd3hjuiLPUILi7hMEbz8IqG1WDuVwjHyS6lSPVjby7bbutHSENGjmrRL9aEbPLHUyoyeDozWNF7YvLR/cYKhXqp46HjK2e0seWu6g0KvHh53OcHaaFYc2/IqO5pcdKkk+CkKKpWdEilvBzmsrmOA3LdHD5Qtl4/j4+eX1ZZnM8uKN9c3ZMwJA6V6LaNeyumzEiw02j9B/tF4f/gOM3XJ8mG24uvkklIYNvnU08FxT35ycb9j6cX0iSenVJ9llsuDOd7O2+Cm+kkzLL6/rtbZ45rryYu8gIgRX8VyWe7TDpnL+zqblq+2OQ2F5Ktxj8Z/Kv3kT5D39yeMx8mRxvA8tNasaXie+2WTC0a1o7c79Fae5LGVCWDPr9t0+ahZtVKT6YjmX9xXTPvFyksBuI+KRUFasFy97qD3MCj/APlpOWFFfibf/wDntUKfqTul09FFf2ke5j9xmJ7jYJ+LyPHn2lw2u2aOYO218w5oP6qzu7TshiUf3mt7X/XkORrcaL/mXpODX9WSlWzMa4lho09KrWHFo5Ry3/WXOcenP6StivWt+X/p/N+4tLHdm5r/AIk7kVy+nqNL42g6dKrZ9DScoeTITjeNl4OU+j+BS99bG0u5bY6+m4t/JJxw8Hk4+MsHnVJbOBumxGo1IVSjkrjDJ9flbpzDGx5a09QCvFSs5Z4teOcs64YZZDve4/mrF2wo9EY9+1GPSJkIo3xjezoPFR/R9ZIiuj6yR7bK5v57mC1gO98sjWhvjqViOlSl0MF0RlJYP0V7ZWE2P4bjobgUlMYc4H2gLoGpDwrSOo6NfhSkS9ZZnBAEAQBAEAQBAEAQHXcQR3MElvM0OilaWPaehDhQqqMnFpr0BoT3x7YycR5fNcxRkYu9cXxvA0qSu6cDy/6jV/zRIy2vEit34bK2Ebb1sLvpifhk8CFOS2K9iPhFry+Baw11PNa2k8k0k5Y4MP7qfDX3qJ5HUVcF16lcJGQiAPwP9xWtqXXqXyteVYx2OyTyB/al+Jh96yoSyUskvZfgtv3A51Y4O8NLVxDpB5ivRYvIynVruyKKoYbwXx9xvZDjfAsHY5fCxthlcfTcwU1IpqqvZvKynZKFvVHmxDplGtUVheX7vRiZu09wC37d9zcTxcG7bEn8F1l+CJHjPb2/yUsUVtr4vpH8WZ3E8bFk5k08jXPaQ7Y0DbUedeq4bzP/AGVK2UlqV4T/AJp9/wAEde4r/rOEcS27PL/LDt+JJ83yXkeSggsrq/vJcfCNkVrDK5sTB0oIm0b+i5Nsb121Jyslls6Pr8LqaGPo1qP2rv8AvJx28wfeDihk5Pw7CSb5oi2O6yFqwN2dfgM9KH2hV61V8X5QiQ3Ob3FXV/S2Lk0n2Umn+3x/iRLn3dTn+dvJ7DmGQllktztmtYnsZCH/AMm2MAFLrb7X4SZ5x3H8VowWzVFYaypPr+GepFeJ33+QztribrI22Hxd7LS5yF5u9G3aQSXHYCfDp5+S9/RPK6j/AOzQ8ZP6bljtHPcvDJ4b7eePY015dccnzJbUsxw2Rl1PCjSB+L1kvV1oRzKTkQUOd5rYt8KKIUJ+sln9/wDcUlfTW8l1M+1D4LFziYGSne4M8A4ilSoyUUnlLob1RdZKKhOalNL5sdFn7iRcW7uct4tjbnjZvDeYC4BpbyHf6Lj+6I9QPNvRS1V7VeIHIvc3A2W+bjiNvdP0kR+7e+5mfdE7mynfv8DVYsZuXfufPrU1JxmsSTw19p4nzsaSPBXlAuKDZ0NidKdzBUeaq7dyr8vczVhxrIXEZuBC70wK1IPRWbI2TXyroWLYXWL5V0OpzfTeY6atNCohxcX1IKUJQfU+mR+3Y3QLyU8lMrPIuzsJ2rvuS5yDNX8LmYy2cHtLho4jxUnoarsl5PsTHGaTtmpPsjeKGGO3iZBENscbQ1oHkFt6WDfEsLBzXp6EAQBAEAQBAEAQBAEBDe4/BLLneBlx87B9WxpNtIfB3kpviOSlpXKX8r7luyHkjT7JxZDictzxfkcBFszc2J7x5dCCt9s052Wx2tR5T7oxVJJeMjFYDLYwQz4eeFjrZ5IZIR8Qr0V33BpbcZxvhlr1R5VKOMHLCjBtku8bdwh7XuIjm8RXoovlaNimML4p+PqVwaeUV93I40be2kkYfUbCdzHf0rZtaFVusro9/UsvKeCJcI5Xf8SzVpnMJII7+Bw2gmm6vgVtudK/Rl9XEYRWZZ+woqqsnbGEFmUnhftLi5lz/Pd0LnHQ8yvja4+J7Gzegz1BG0kbnBum4gL5X3/ceLJV6eaqm/zfzNfH7PuR9E8V7Fp1qfq7C+rdjPj/AC5+H97JgP8A858WxXp4m0yPJMwW/FcXQdAwup5VaAPwKg53aveXlZL7TIhpe4LZYi69aH2Yb/j/AAKhyV0+/vp57O1jx9o9xMUDSXhjfAAnqsCc6s5S/YbRq6vIfTULLO383q/wJJwvjXcW5vrbOcSxM1zJYyCWK8NuJYA9viTKPTKu0xk35Qg2/wBxgclfVXW6trYjCLWGvL5n+HUyfc7u33btZBg+W5Wa2nkj3fSwNiiBZ0/4B/ErKtnsvpY/E1/S1+FivLUrV0o+ssvr/q/sKJLslkp3NsbGW5leS5z3mlSepSvEV0Ra3J2Xy+d9F6eiPZbYK9jeTl3w2jR/xRn1pT+DTQfiVkKb9SMdEV2MjCLGxJfY2wdP0E8/xu/Boo0Khxi3loy4X2wh4xk8C3vLq5kmdcv3ta5tG0AABHkArM4pzw/gSevbKvXVkej8up3vtoHxva1jRv1DgKEHzWDFuE+htN0Y7Ov8y9M/cxjppCw42TUfNC72HqFd2k44kj5h998Y63Hbr7PpP7/R/wADvmxzGODZ9K+KphtYOcV7mO7ObZWW9zDHCzc1hDiPOit27GGWbtrDzkm2R55czY5mNt7UQNDdpcABX8lclyM5R8UXpcrZKPjEhzIpriYRxsL5pDo1oqSSo6TlJkTJyk+pfPaX7fsjyGaHLchjMOPBDhE4Ur71L6fHOfWXYndDipWPyn2NwcHgsdx6wjx+NhbFBGANBStFtVdagsI3WqqNccIySuF0IAgCAIAgCAIAgCAIAgCAhnPO22A55ZuiyEQbdgER3AHxV9qnOL5i7RnmD6fAtTrUjWrOfbryXBTSSY9v1dtuJYW6nb7wunVe7KdmKUn4sw3Q0QXJcD5TiLgPfjpqOOpaC6hWxV8jq7NfjKSwWXCUWYHlVlyGTEy2YxlxPcSja0NjJKxJLXqg1XJIq6t9Snr7gefxE0TM5C7HPuGerEx/+4WB1K08NQuOe6+UlGH0Iyz5fm+5HSvZvGK62V8u0Oi+9kixVxfwj0Z5/qmgUYXtDX1Hm4dVyxURl17HZ5crdQ1FryX2nXJmchcXcdhHavhlldsa5pDwSOvxaUVn6SXck3vysaUVjJ0ZPK5PATshkY2SWUbmOkfuaADSpaBUqpQizGs2NmttJLr6tlhXP3E96cnjI8HDn7fG2EbBEz/HWUEDtgFBQ7dNPKim4224xnH7DlVnG6bscnFzbfdybyRmzxEMplzfJr6fIXEh3TXFy8ySSOPgKmp/NWXDLy+pLU2uqPjBKK+xHTe5eWVptrBjbHHjQRQ6PcP63DUq4sIsS8pPq+hjKrwqPsrJIWB8jHNBFWlwIB91V7gtuaw8Fldke2T+4ucvxNuGKsI45LkM0c98hIayvgDQkq5VrfUnl9kYu/zT0tV1wWZWPpn0Xqyf92ey9hxXjsudxURt/oyz1o6ktcx7gyupOoJTe1IRh5x6NHntT3Fs27K1rn5xknj4ppZ/AoNg9CZlw3UxuDwP4j8QoeyxTj4/E2PnPbi3NO+n/FF+H390Su/xV48sfdWsjGOAdG7aaEEVBBUSteaXU+Lf0lkMqXRo8cGNd6uxsLnvPQhpJVnDyY2HkmGC7X8p5RcxR2tm+OFxFZHgjRSevrzk+iJjU1bJv5UbK9t/t6w/HTHkc00XF8KHa4VoVsmtx6j1l3Nt0+KjD5p9y8YYIreJsMDBHEwUa1ooAFMJYJ9JLsdi9PQgCAIAgCAIAgCAIAgCAIAgCAIDqltbabSaFkn/AFNB/iq4zlHs2MHm/wALiN2/6GDcPH02/wCird9j/mf4nmEaOfdw17e6sUYaG28eMthC0ABoBc8mgHtWsci27OvwOyezor9G3/mf8Ci4nuieHs6hRqbRuk64zXU4zOkoZWOLZWne1w0IcNVXW/m6mNuwbpfi8SXVfejCZI3l7kRe3chmDgKEgAN29G0CylrqM+nYg5czK7Xak/n7fs+J77BwEgJWQyFizLz3E17JHDGC8CjIYmgkknTQDqSqTIyksszV/wBv+X43HnKXuLljtGt3vOhcxvm5oNQrromllojq+U1pz8Iy6kx+3zg9hzrnv0WRa2W2sLZ976DtWyPa5rGgjxALqq5rQUp9TF5rYnVR8vRyeDYvu32sxA4NmZ7mBjI7O0luIpaAem+Fhc0g+GoopK2KcXk0nRtnC6Pi+7Ne/t37u2Xa3PXYzVvJPgsvEyO5fAA6WGWEkseGkjcKOIIUXXeqst9jfNviZ8gowg0prtns/sJ3357+4TneHZxfiFvMMfJI2W/v7hnpOkEZq2NjKk0rqSVibu8rI+MexP8Atr2tZpXfXva8ksRS64z6tmuxKhjpJvh2YxXGed9rcBf39lHLeQQmxuXj5jJauMdT7S0NK2vXrhbUm0fMfuTjK6d+2GOjeV+3qTe37X8NtpBKzHtLhqK0/wBFejp1L0NYjoUr0JPZ42wx7Ayzt2QtH8oAP5rJjCMeyMyFcY9kepVlwIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIDTT7zMM6Hk/Hs41v9u7s5LZ7v64JNwH5PUDyUfmTOseyrs02V/B5/H/wayQMfI4taNx60UXg31TSTbZ3wtYZYxKKx7m7x/TXVIYysnmx5fTl498PBIeeYHHxMhyGMtWWkDwIp4YiTHup8L2hxNK+Oq2O6tJZRxbjd2dknCfdECtw4Sen+7osJmzxeexc3284rFZTuhhoMu5ogrL9OH02uuRE4xjX29PaqqGvqLJa5aE/0c3H0x+Hqbpcy4zg8dx7I5LIGOPHWtvLJcvfQNEbWmvXz6KYk0l1Ob0xlKaUe+T8/uF84zPb/k8HKONvbHdwF7RFKN0ckEnzRyAUqCFCQm4vKOo7GtG+vwn2LB7m/cnzHuRgzxx9pb4fEzbTfR2rnvkn2moa57+jK67QNfFXrNiU1gjtPiKtefnlyfpn0KXa4Rua4ftIKxJLKaNgos+nOMl6MyZ6/wAFCnTU01lHFxoNUDZuB9nOd+o49yDjsjvis7qO8hb/AEXDNjv/ACjWx8XPMHH4M4v771vHYrt/xRx+H/k2aUyc1CAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgKE+7Pjbsz24hy0Td0+FvGTVA19KYGN/6lqjt+HlXn4G5+0tr6W54vtNYNGoXiB/qeXVQFb+Y61ux/wBp49OpzYyWeN902J3og0e8AlrSegJ6L2yOJM8071ZVHL6tdjK33IvqcJ/iLiIuuBs2TV02sNRX26UUtTsOdWH3RzzkuIjrbv1IP5ZLOPtfcihZsu2P8Hg/mAqZF+h9TI2+SuMc9strK6Gdrg+KaMlr2ObqHNI1BCs+OXkkXaoxcX2ZIeQ91e4PMLCLD8g5DeX+Khofp5HgMcW9C/aBvI/qqr0pyaw2RtOrTCflXFJkVqFaJE4lzfMLwYPjvlK9PH2PbBOZIY3nUM/tye/w/RYf015SRsi3Z/Qrmn+XoztlG5hp71hJfNg2eyadXn9mS/ftFyrrPuNc44upHksdK2ngXwPZIP03KY49eFrj8Uc294TWxoQtXeM8fijd9bCceCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgI9zrBt5Jw7N4Rzdzry0lZGP/ALA0ln/kArVsfKDRm6N/0diE/g0fmJNC+KaWGRu2RjnMe3ycDQhaj2Z9GLEo/eTLhc4djL7Eud/bmNZYurXNcKaj2EKb0XGyEoM5d7ojbq7FWxX0wsL716ftIdlLU2t06B3WJ7oyfcdFh0rwnKJsXJ2LY1qr1/Mv60eC5jIhE/hE4E+7of4rKkQVS6pmMub9jv8AbFSPFYbuwTf6Rz7niOQuNQwUCtO5svw1oxPOby5c6m418lR5svKtHyU3rHhziQ2i9UngTpal2PTY3U5c71H/ANljauJV6qTbMPYgox6dyyO1PAcp3NyUkeKmMOMtmh9/cbd1WkkNaAf3EgrMjrOyXwwRF/MLSplFryc+y+34k07m9ppO3+IbmhLJNYte2GcSAbmmTRpqANK6LF3NL6S84vPUnPbfub9fN610VF+Pytdnj0Z6PtbmE/eTEMtZA8Mgu3yBtSAz0HA/qQrulPztTXwZg+5qHr6M4t9HOOD9BlsBx8IAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAID88+9nB5uN908rjLdnp2eRmF5ZuI+AR3R3Hp4NdULWNilq7xXqd14bkVPjldL/ANtfN/pITdWeQ4zkvTErDK0bo5ojujew+VafiCrbU9ef2mTXZq8vrdvKD9PVP+DMVkJH3Tn3U7qyOeS+mnUH/RVUzcrMv1LPI68KdJQj+WDSRibWYMfcY68cBHM0+jIelfCvvWS5Ylhmu1xUodDDXkEcELXMdqRqFgSjhtG1LDqjJeqPNHPG1mvVWmmIzSQZFcw7L6W2kFo4/DM5jhGfc6lFc8Xgx4Xw88ZWfgWZ2f4OzuxzeHAvq3HWsDry+2aOdHGWtDAfDc5wWXqUqyWH2I7n+VevT5Q/M+iLz7t/bpxyw4LlL3FWLbC7xls+7hlhq3cYGlxa/wDmqBTVTc6IRj0WDnWjymxK+KnJyUnj8fgRz7R+c8Y7eDI4rmNw21jzHpyxXjm7ooZIt3wSFtdocHaHoo2jerjNxfRfE3Xmva+3dRG6teUl3j64/p6El+53u5w/l+Gt+EcFvIcnJcTsmyl9Ef7MccWrWNJA3Eu1NOlFb5DchKPjHqX/AGj7c2Kb/r3rwwsRT79fVnr+znhUceZzPK2x/wDq4+AY63mI+e5nIklIP9LQ0fiquKreHNlH/YG3Wp168P5esjcNTxyQIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIChPud4LJmeP2nM8bEXZLAn/2dvzOtHmp6ddjtfzUVyFbwrF3ib/7Q3YKyepZ+S5Y/wBX95qtnJLW+sLe6aGvk3AUPzCupGnuWNuzjbVGcX1Jr2zrXcfv2a9sX4v19O/R/tRFRbullmMrNjAD8I6AEUGqjtaXzG583U/pNY6Z/Aw93YGQbT87Pkd5jyUpZHyRz2mbqeH2I1fQSNlLHEgN/asG2PZk/q3ZTj8P4k17JcLsecdzsFxzJ0dYzySSzRHpILeN0uz3OLdVXrVqdiT7GLy2zKnVnKPf+03x5R2lwsuAurK5tYv8d6D2yM2gMawNOvsoFsc4pxafY5RRZYrYyi35Z/eaY9neSZDs5zUcriYy+sCyS0vbMHa6S1kcDVrjoHAta4VWrU7qrn0XQ73yXtj9VqNSl8/dfYy8u633HWXNuMy8d41jprS3v2ht9dXez1DF1MbGsLh8XiSeiytrkoyi4xRA8F7KupvV10l8vVY/rNS7yxusdd/Vse10W+pbQ0aHeY8lCp5R02dbrl3ySXtvw7Oc45HJiuNWv1eRupBGJWhxgt4a/FNI4/Kwe3U9AsmnWldJJdvUh9/maONqnbN5m/yo/Snt9wjGdvOJ4/i2L+KO0ZuuLgijp7h/xSSu9rnfpotvrrUIqK9D5y3dyzbulbN9ZMk6uGEEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEB1XNtBeW8tpdRtltp2OjlieKtcx4oQR7QvGk1hlcJyhJSi8NGgHdngknCOWXdnjTvw00jn2rnV/ttJ/2z7R4exabsQjXY4n0B7f5xchUk2lbFfMn/AFogn+OuSHP+olZDK4erspQ0HQV6Kyng2eVak2m+/c42+Gt3h0ckrg9wLmvc74m+Q8jRZ0L+nfqars8V/udIx8WQTkUbbG7lFxJVjGB75GjXb7vOiy4f7kMs1zajHU2cR/LhHdxbP3+AzFhn+JzOgylnK2a1vDSSQOHmCNoBGhbTorHk4PPbBscNWnZrcUvKM1/T7jYvk33Gdw+X8bOBvW2mOjuWenfzWTHskmaRq2r3O2g+IarF/I2WLx7IyuK9maWnarnmcl1Sl2X9PtKjla2SN0f8woFFrobzPEk0cMRa3l9J9BbRPmuQ6jYoxV2qWzjBeTaSIizkKNWD+tNQx+Jevbj7bn8suIrnl179FZDV1naEPuXgftc81az8KlZnGqrZl3yjm3M+9448dWPX/HL+C/tNs+G8E4nwDFtw/E8ZDjrQayGMVlld/NJIaucfeVucIRgsJHJtnbt2J+dknJkiVZihAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQGqfeuNreVPguWB8MrnAtdqCCtD52mTn5R7okNPYnRNTg3GS9UVPe4WCBj22pJikH+27Wh9hUTp705LxsX7TpGj7waf/yFn/NH+wjF3ZvhfSVha46Bx6fn0UvXNPpk3dcxpbC8q7F93Z/gV/yWzM17K57K1GwjqC0CinqsKKRonISdt0pv9n3GAx2FzlldCTBsfRx+KMsc9v5UoVatjW18zKNXkrNN5hJR/p8CwsRh+VXrWNvYbe3P75pnFg/+ALiofY2NapdMv7kZq94WQeW/N/uJ/jeJYHHut7nKXL8o06zRRD0IAfLQl5/MKDp5JTsx4YX29WRe97y3rlitqtfYuv4lgjAWdhDHmMVaR2lg8NIjibtA9p8/xWHy1LnHzNLlfO2XlNuT+L6l0dopvVcXA1FSs/2i35tMxry4F1MwggCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgKU7vcQOSyDMiG/A0BznfoVqXNRknn0L9ZQOYb6M7oLYbiw0JWq1yc7MRRffYwN1aXoj9eRlY/EhTktVxWWi35GOLW9S0E+dFQkkVeT+J68dbMurlsD37AfFX6YxlLDKGySX+Bx9tYvc+ZvrD5aaFSWxq0qGUUKTI3bXr2Q/Sv1jroVqd+rFfNEvqRZ+Ayr8xh4sA0ahhAPuWDVY706mVNY6ls9oLSaxu5rWX9laVU/7d1vpWtFq15Rcq6AYoQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQGB5fjnZHCXMcQrKGHb7lGclr/AFaX8SuDwzU52Pfi8rcuv21AcaNPvXK4b0tWzGOxnePkjx5HIx3TXW0bA2AnqQAtm/5n9RXj1LP08MwRxEE8gjgcC4qxRcrJ+J61hHpfxKWOA3G7Y5niHKV3Nd01+SZbi8sxz4pns2SSueB4E1WnT5Cx+pkeCOsWrGipCx5bE36lWDJ4PMvw18y4YdW109hXkHKuamh3NmOzk02ThlykzSNw0PvXQOCg3mbMS0tlbaWAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgPhAcCCKg6EICie7HCJGTuyVmwmF2pDVzL3FxbhL6kEZlU/Qom+sLl5dDb13VIp4rU9WMpS8V3MiRxssJkraP6nc5r2a/EFsc+Pv115llTT6Hy6y95Mz0pHew0FFG2bltixJ9CtRSPNaUfM1s5ox3iq6HT5LyPHkkclvjLa0fucXvI+AaELaL69OVXy9yynLI4hwLKcsyEbG27o7QPqZCDqKqG1eOsuml6FyU0kbd8W49bcbxMOPgAq1o3keJXTNbXVMFFGHJ5Zm1lFIQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAee8s7e+gdb3LA+NwpQq1bVGyPjJdD1PBVXIO0MUl069xdA467RotM2vb+J+dXcyI2+jIXmO3XJjG6G3jLQdDoViXa+9KPg+xUnEjsHZrk87vibSvjtKjI8Feyv6qJBYdgspLQ3UjgPHo1SNXtub/Myh3Im+C7G4awcyS8Pqub4E7v4qc1uBrr7lt2tlmYvC47DwiGxgbGBpUDVbFVRCtYiiy3kyCvngQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEB//Z';
 		
-			createPDFObject(jpgData, 'base64 jpg', 'jpg');
+			createPDFObject(jpgData, 'jpg base64', 'jpg');
 		}
 		
 		function createFromJpegImg() {
@@ -47,11 +48,18 @@
 			createPDFObject(png32bit, '32 bit base64 png', 'png');
 		}
 		
+		function createFromBase6432BitPngCompressed() {
+			
+			var png32bit = 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';
+			
+			createPDFObject(png32bit, '32 bit base64 png compressed', 'png', true);
+		}
+		
 		function createFrom32BitPngImg() {
 			
 			var img = document.getElementById('32_bit');
 			
-			createPDFObject(img, '32 bit png <img>', 'png', true);
+			createPDFObject(img, '32 bit png <img>', 'png');
 		}
 		
 		function createFromBase6424BitPng() {
@@ -70,30 +78,31 @@
 		
 		function createFromBase648BitPng() {
 			
-			var png24bit = 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';
+			var png8bit = 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';
+			//var png8bit = 'data:image/png;base64,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';
+			//var png8bit = 'data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQBAMAAADt3eJSAAAAMFBMVEUAAAD///8AAAD///8AAAD///8AAAD///8AAAD///8AAAD///8AAAD///8AAAD///809TMSAAAAEHRSTlP//8DAoKCAgGBgQEAgIAAATXQTkgAAAJtJREFUCB0BkABv/wAAAAAAAAAAAAAAERERERERAAAjIzMzMzMyMgAjMjMzMzMjMgBFVUVVVVRVVABFVVRVVUVVVABnd3dndnd3dgBnd3d2Z3d3dgCJmZmYiZmZmACJmZmJmJmZmACru7q7u6u7ugCru6u7u7q7ugDN3N3d3d3N3ADNzd3d3d3c3ADu////////7gDu7u7u7u7u7gXuQRWvTQmUAAAAAElFTkSuQmCC';
 			
-			createPDFObject(png24bit, '8 bit base64 png', 'png');
+			createPDFObject(png8bit, 'Indexed base64 png', 'png');
 		}
 		
 		function createFrom8BitPngImg() {
 			
 			var img = document.getElementById('8_bit');
 			
-			createPDFObject(img, '8 bit png <img>', 'png', true);
+			createPDFObject(img, 'Indexed png <img>', 'png');
 		}
 		
-		function createPDFObject(imgData, type, format, transparency) {
-			
-			transparency = transparency || false;
+		function createPDFObject(imgData, type, format, compress) {
 			
-			var doc = new jsPDF('p', 'pt');
+			var doc = new jsPDF('p', 'pt', 'a4', false);
 	
 			doc.setFontSize(40);
 			doc.setDrawColor(0);
 			doc.setFillColor(255, 0, 0);
 			doc.rect(0, 0, 595.28,  841.89, 'F');
 			doc.text(35, 100, type + " test");
-			doc.addImage(imgData, format, 100, 200, 280, 210, null, transparency);
+			doc.addImage(imgData, format, 100, 200, 280, 210, undefined, compress);
+			//doc.addImage(imgData, format, 100, 500, 280, 210, undefined, compress);
 			
 			doc.save( type + ' test.pdf')
 		}
@@ -107,14 +116,15 @@
 	<img id="32_bit" src="images/32_bit.png"/>
   	<input type="button" value="Generate from 32 bit png" onclick="createFromBase6432BitPng()" />
   	<input type="button" value="Generate from 32 bit <img>" onclick="createFrom32BitPngImg()" />
+  	<input type="button" value="Generate from 32 bit png and recompress" onclick="createFromBase6432BitPngCompressed()" />
   	<br/>
   	<img id="24_bit" src="images/24_bit.png"/>
   	<input type="button" value="Generate from 24 bit png" onclick="createFromBase6424BitPng()" />
   	<input type="button" value="Generate from 24 bit <img>" onclick="createFrom24BitPngImg()" />
   	<br/>
   	<img id="8_bit" src="images/png8_trans.png"/>
-  	<input type="button" value="Generate from 8 bit png" onclick="createFromBase648BitPng()" />
-  	<input type="button" value="Generate from 8 bit <img>" onclick="createFrom8BitPngImg()" />
+  	<input type="button" value="Generate from Indexed png" onclick="createFromBase648BitPng()" />
+  	<input type="button" value="Generate from Indexed <img>" onclick="createFrom8BitPngImg()" />
   	<br/>
   </body>
   
diff --git a/jspdf.plugin.addimage.js b/jspdf.plugin.addimage.js
index 846a5269d..92ac5e3cf 100644
--- a/jspdf.plugin.addimage.js
+++ b/jspdf.plugin.addimage.js
@@ -28,288 +28,435 @@
  */
 
 ;(function(jsPDFAPI) {
-'use strict'
-
-var namespace = 'addImage_',
-	supported_image_types = ['jpg', 'jpeg', 'png'],
-	color_spaces = ['DeviceRGB', 'DeviceGray', 'DeviceCMYK', 'Indexed'],
-	filter_methods = ['DCTDecode', 'FlateDecode', 'LZWDecode'];
-	
-
-// takes a string imgData containing the raw bytes of
-// a jpeg image and returns [width, height]
-// Algorithm from: http://www.64lines.com/jpeg-width-height
-var getJpegSize = function(imgData) {
 	'use strict'
-	var width, height;
-	// Verify we have a valid jpeg header 0xff,0xd8,0xff,0xe0,?,?,'J','F','I','F',0x00
-	if (!imgData.charCodeAt(0) === 0xff ||
-		!imgData.charCodeAt(1) === 0xd8 ||
-		!imgData.charCodeAt(2) === 0xff ||
-		!imgData.charCodeAt(3) === 0xe0 ||
-		!imgData.charCodeAt(6) === 'J'.charCodeAt(0) ||
-		!imgData.charCodeAt(7) === 'F'.charCodeAt(0) ||
-		!imgData.charCodeAt(8) === 'I'.charCodeAt(0) ||
-		!imgData.charCodeAt(9) === 'F'.charCodeAt(0) ||
-		!imgData.charCodeAt(10) === 0x00) {
-			throw new Error('getJpegSize requires a binary string jpeg file')
-	}
-	var blockLength = imgData.charCodeAt(4)*256 + imgData.charCodeAt(5);
-	var i = 4, len = imgData.length;
-	while ( i < len ) {
-		i += blockLength;
-		if (imgData.charCodeAt(i) !== 0xff) {
-			throw new Error('getJpegSize could not find the size of the image');
-		}
-		if (imgData.charCodeAt(i+1) === 0xc0 || //(SOF) Huffman  - Baseline DCT
-		    imgData.charCodeAt(i+1) === 0xc1 || //(SOF) Huffman  - Extended sequential DCT 
-		    imgData.charCodeAt(i+1) === 0xc2 || // Progressive DCT (SOF2)
-		    imgData.charCodeAt(i+1) === 0xc3 || // Spatial (sequential) lossless (SOF3)
-		    imgData.charCodeAt(i+1) === 0xc4 || // Differential sequential DCT (SOF5)
-		    imgData.charCodeAt(i+1) === 0xc5 || // Differential progressive DCT (SOF6)
-		    imgData.charCodeAt(i+1) === 0xc6 || // Differential spatial (SOF7)
-		    imgData.charCodeAt(i+1) === 0xc7) {
-			height = imgData.charCodeAt(i+5)*256 + imgData.charCodeAt(i+6);
-			width = imgData.charCodeAt(i+7)*256 + imgData.charCodeAt(i+8);
-			return [width, height];
+	
+	var namespace = 'addImage_',
+		supported_image_types = ['jpeg', 'jpg', 'png'];
+	
+	
+	// Image functionality ported from pdf.js
+	var putImage = function(img) {
+		
+		var objectNumber = this.internal.newObject()
+		, out = this.internal.write
+		, putStream = this.internal.putStream
+	
+		img['n'] = objectNumber
+	
+		out('<</Type /XObject')
+		out('/Subtype /Image')
+		out('/Width ' + img['w'])
+		out('/Height ' + img['h'])
+		if (img['cs'] === 'Indexed') {
+			out('/ColorSpace [/Indexed /DeviceRGB '
+					+ (img['pal'].length / 3 - 1) + ' ' + (objectNumber + 1)
+					+ ' 0 R]');
 		} else {
-			i += 2;
-			blockLength = imgData.charCodeAt(i)*256 + imgData.charCodeAt(i+1)
+			out('/ColorSpace /' + img['cs']);
+			if (img['cs'] === 'DeviceCMYK') {
+				out('/Decode [1 0 1 0 1 0 1 0]');
+			}
+		}
+		out('/BitsPerComponent ' + img['bpc']);
+		if ('f' in img) {
+			out('/Filter /' + img['f']);
+		}
+		if ('dp' in img) {
+			out('/DecodeParms <<' + img['dp'] + '>>');
+		}
+		if ('trns' in img && img['trns'].constructor == Array) {
+			var trns = '';
+			for ( var i = 0; i < img['trns'].length; i++)
+				trns += (img['trns'][i] + ' ' + img['trns'][i] + ' ');
+			out('/Mask [' + trns + ']');
+		}
+		if ('smask' in img) {
+			out('/SMask ' + (objectNumber + 1) + ' 0 R');
+		}
+		out('/Length ' + img['data'].length + '>>');
+	
+		putStream(img['data']);
+	
+		out('endobj');
+		
+		// Soft mask
+		if ('smask' in img) {
+			var dp = '/Predictor 15 /Colors 1 /BitsPerComponent 8 /Columns ' + img['w'];
+			var smask = {'w': img['w'], 'h': img['h'], 'cs': 'DeviceGray', 'bpc': 8, 'dp': dp, 'data': img['smask']};
+			//if ('f' in img) 
+				//smask.f = img['f'];
+			putImage.call(this, smask);
+		}
+	    
+	    //Palette
+		if (img['cs'] === 'Indexed') {
+			
+			this.internal.newObject();
+			//out('<< /Filter / ' + img['f'] +' /Length ' + img['pal'].length + '>>');
+			//putStream(zlib.compress(img['pal']));
+			out('<< /Length ' + img['pal'].length + '>>');
+			putStream(this.arrayBufferToBinaryString(new Uint8Array(img['pal'])));
+			out('endobj');
 		}
 	}
-}
-// Image functionality ported from pdf.js
-, putImage = function(img) {
-	//console.log(img);
-	var objectNumber = this.internal.newObject()
-	, out = this.internal.write
-	, putStream = this.internal.putStream
-
-	img['n'] = objectNumber
-
-	out('<</Type /XObject')
-	out('/Subtype /Image')
-	out('/Width ' + img['w'])
-	out('/Height ' + img['h'])
-	if (img['cs'] === 'Indexed') {
-		out('/ColorSpace [/Indexed /DeviceRGB '
-				+ (img['pal'].length / 3 - 1) + ' ' + (objectNumber + 1)
-				+ ' 0 R]');
-	} else {
-		out('/ColorSpace /' + img['cs']);
-		if (img['cs'] === 'DeviceCMYK') {
-			out('/Decode [1 0 1 0 1 0 1 0]');
+	, putResourcesCallback = function() {
+		var images = this.internal.collections[namespace + 'images']
+		for ( var i in images ) {
+			putImage.call(this, images[i])
 		}
 	}
-	out('/BitsPerComponent ' + img['bpc']);
-	if ('f' in img) {
-		out('/Filter /' + img['f']);
+	, putXObjectsDictCallback = function(){
+		var images = this.internal.collections[namespace + 'images']
+		, out = this.internal.write
+		, image
+		for (var i in images) {
+			image = images[i]
+			out(
+				'/I' + image['i']
+				, image['n']
+				, '0'
+				, 'R'
+			)
+		}
 	}
-	if ('dp' in img) {
-		out('/DecodeParms <<' + img['dp'] + '>>');
+	, getImages = function() {
+		var images = this.internal.collections[namespace + 'images'];
+		//first run, so initialise stuff
+		if(!images) {
+			this.internal.collections[namespace + 'images'] = images = {};
+			this.internal.events.subscribe('putResources', putResourcesCallback);
+			this.internal.events.subscribe('putXobjectDict', putXObjectsDictCallback);
+		}
+		
+		return images;
 	}
-	if ('trns' in img && img['trns'].constructor == Array) {
-		var trns = '';
-		for ( var i = 0; i < img['trns'].length; i++) {
-			trns += (img['trns'][i] + ' ' + img['trns'][i] + ' ');
-			out('/Mask [' + trns + ']');
+	, getImageIndex = function(images) {
+		var imageIndex = 0;
+		
+		if (images){
+			// this is NOT the first time this method is ran on this instance of jsPDF object.
+			imageIndex = Object.keys ? 
+			Object.keys(images).length :
+			(function(o){
+				var i = 0
+				for (var e in o){if(o.hasOwnProperty(e)){ i++ }}
+				return i
+			})(images)
 		}
+		
+		return imageIndex;
 	}
-	if ('smask' in img) {
-		out('/SMask ' + (objectNumber + 1) + ' 0 R');
+	, noAliasDefined = function(alias) {
+		return typeof alias === 'undefined' || alias === null;
 	}
-	out('/Length ' + img['data'].length + '>>');
-
-	putStream(img['data']);
-
-	out('endobj');
-	
-	// Soft mask
-	if ('smask' in img) {
-		var dp = '/Predictor 15 /Colors 1 /BitsPerComponent 8 /Columns ' + img['w'];
-		var smask = {'w': img['w'], 'h': img['h'], 'cs': 'DeviceGray', 'bpc': 8, 'dp': dp, 'data': img['smask']};
-		if ('f' in img) 
-			smask.f = img['f'];
-		putImage.call(this, smask);
+	, generateAliasFromData = function(data) {
+		// TODO: Alias dynamic generation from imageData's checksum/hash
+		return undefined;
+	}
+	, doesNotSupportImageType = function(type) {
+		return supported_image_types.indexOf(type) === -1;
+	}
+	, processMethodNotEnabled = function(type) {
+		return typeof jsPDFAPI['process' + type.toUpperCase()] !== 'function';
+	}
+	, isDOMElement = function(object) {
+		return typeof object === 'object' && object.nodeType === 1;
 	}
-    
-    //Palette
-	if (img['cs'] === 'Indexed') {
+	, createDataURIFromElement = function(imageData, format) {
 		
-		this.internal.newObject();
-		//out('<< /Filter / ' + img['f'] +' /Length ' + img['pal'].length + '>>');
-		//putStream(zlib.compress(img['pal']));
-		out('<< /Length ' + img['pal'].length + '>>');
-		putStream(img['pal']);
-		out('endobj');
+		var canvas = document.createElement('canvas');
+	    canvas.width = imageData.clientWidth || imageData.width;
+	    canvas.height = imageData.clientHeight || imageData.height;
+	
+	    var ctx = canvas.getContext('2d');
+	    if (!ctx) {
+	        throw ('addImage requires canvas to be supported by browser.');
+	    }
+	    ctx.drawImage(imageData, 0, 0, canvas.width, canvas.height);
+	    
+	    return canvas.toDataURL(format == 'png' ? 'image/png' : 'image/jpeg');
+	}
+	,checkImagesForAlias = function(imageData, images) {
+		var cached_info;
+		if(images) {
+			for(var e in images) {
+				if(imageData === images[e].alias) {
+					cached_info = images[e];
+					break;
+				}
+			}
+		}
+		return cached_info;
 	}
-}
-, putResourcesCallback = function() {
-	var images = this.internal.collections[namespace + 'images']
-	for ( var i in images ) {
-		putImage.call(this, images[i])
+	,determineWidthAndHeight = function(w, h) {
+		if (!w && !h) {
+			w = -96;
+			h = -96;
+		}
+		if (w < 0) {
+			w = (-1) * info['w'] * 72 / w / this.internal.scaleFactor;
+		}
+		if (h < 0) {
+			h = (-1) * info['h'] * 72 / h / this.internal.scaleFactor;
+		}
+		if (w === 0) {
+			w = h * info['w'] / info['h'];
+		}
+		if (h === 0) {
+			h = w * info['h'] / info['w'];
+		}
+		
+		return [w, h];
 	}
-}
-, putXObjectsDictCallback = function(){
-	var images = this.internal.collections[namespace + 'images']
-	, out = this.internal.write
-	, image
-	for (var i in images) {
-		image = images[i]
-		out(
-			'/I' + image['i']
-			, image['n']
-			, '0'
-			, 'R'
+	, writeImageToPDF = function(x, y, w, h, info, index, images) {
+		var dims = determineWidthAndHeight(w, h),
+			coord = this.internal.getCoordinateString,
+			vcoord = this.internal.getVerticalCoordinateString;
+		
+		w = dims[0];
+		h = dims[1];
+		
+		images[index] = info;
+		
+		this.internal.write(
+			'q'
+			, coord(w)
+			, '0 0'
+			, coord(h) // TODO: check if this should be shifted by vcoord
+			, coord(x)
+			, vcoord(y + h)
+			, 'cm /I'+info['i']
+			, 'Do Q'
 		)
-	}
-}
-, extractBase64Info = function(dataURL) {
-	return /^(data:image\/([\w]+?);base64,)(.+?)$/g.exec(dataURL);
-}
-, supportsArrayBuffer = function() {
-	return typeof ArrayBuffer == 'function';
-}
-, isArrayBuffer = function(object) {
-	if(!supportsArrayBuffer())
-        return false;
-	return object instanceof ArrayBuffer;
-}
-, isArrayBufferView = function(object) {
-	if(!supportsArrayBuffer())
-        return false;
-	return (object instanceof Int8Array ||
-			object instanceof Uint8Array ||
-			object instanceof Uint8ClampedArray ||
-			object instanceof Int16Array ||
-			object instanceof Uint16Array ||
-			object instanceof Int32Array ||
-			object instanceof Uint32Array ||
-			object instanceof Float32Array ||
-			object instanceof Float64Array );
-}
-, binaryStringToUint8Array = function(binary_string) {
-	/*
-	 * not sure how efficient this will be will bigger files. Is there a native method?
+	};
+	
+	
+	/**
+	 * COLOR SPACE
+	 */
+	jsPDFAPI.DEVICE_RGB = 'DeviceRGB';
+	jsPDFAPI.DEVICE_GRAY = 'DeviceGray';
+	jsPDFAPI.DEVICE_CMYK = 'DeviceCMYK';
+	jsPDFAPI.INDEXED = 'Indexed';
+	
+	/**
+	 * COMPRESSION METHODS
+	 */
+	jsPDFAPI.DCT_DECODE = 'DCTDecode';
+	jsPDFAPI.FLATE_DECODE = 'FlateDecode';
+	jsPDFAPI.LZW_DECODE = 'LZWDecode';
+	
+	
+	jsPDFAPI.isString = function(object) {
+		return typeof object === 'string';
+	};
+	
+	/**
+	 * Strips out and returns info from a valid base64 data URI
+	 * @param {String[dataURI]} a valid data URI of format 'data:[<MIME-type>][;base64],<data>'
+	 * @returns an Array containing the following
+	 * [0] the complete data URI
+	 * [1] <MIME-type>
+	 * [2] format - the second part of the mime-type i.e 'png' in 'image/png'
+	 * [4] <data>
+	 */
+	jsPDFAPI.extractInfoFromBase64DataURI = function(dataURI) {
+		return /^data:([\w]+?\/([\w]+?));base64,(.+?)$/g.exec(dataURI);
+	};
+	
+	/**
+	 * Check to see if ArrayBuffer is supported
 	 */
-	var len = binary_string.length;
-    var bytes = new Uint8Array( len );
-    for (var i = 0; i < len; i++) {
-        bytes[i] = binary_string.charCodeAt(i);
-    }
-    return bytes;
-}
-, arrayBufferToBinaryString = function( array_buffer ) {
-	/*
+	jsPDFAPI.supportsArrayBuffer = function() {
+		return typeof ArrayBuffer === 'function';
+	};
+	
+	/**
+	 * Tests supplied object to determine if ArrayBuffer
+	 * @param {Object[object]} 
+	 */
+	jsPDFAPI.isArrayBuffer = function(object) {
+		if(!this.supportsArrayBuffer())
+	        return false;
+		return object instanceof ArrayBuffer;
+	};
+	
+	/**
+	 * Tests supplied object to determine if it implements the ArrayBufferView (TypedArray) interface
+	 * @param {Object[object]} 
+	 */
+	jsPDFAPI.isArrayBufferView = function(object) {
+		if(!this.supportsArrayBuffer())
+	        return false;
+		return (object instanceof Int8Array ||
+				object instanceof Uint8Array ||
+				object instanceof Uint8ClampedArray ||
+				object instanceof Int16Array ||
+				object instanceof Uint16Array ||
+				object instanceof Int32Array ||
+				object instanceof Uint32Array ||
+				object instanceof Float32Array ||
+				object instanceof Float64Array );
+	};
+	
+	/**
+	 * Exactly what it says on the tin
+	 */
+	jsPDFAPI.binaryStringToUint8Array = function(binary_string) {
+		/*
+		 * not sure how efficient this will be will bigger files. Is there a native method?
+		 */
+		var len = binary_string.length;
+	    var bytes = new Uint8Array( len );
+	    for (var i = 0; i < len; i++) {
+	        bytes[i] = binary_string.charCodeAt(i);
+	    }
+	    return bytes;
+	};
+	
+	/**
 	 * @see this discussion
 	 * http://stackoverflow.com/questions/6965107/converting-between-strings-and-arraybuffers
 	 * 
-	 * As stated, i imagine the method below is highly inefficent for large files. Also of note from Mozilla,
+	 * As stated, i imagine the method below is highly inefficent for large files.
+	 * 
+	 * Also of note from Mozilla,
 	 * 
 	 * "However, this is slow and error-prone, due to the need for multiple conversions (especially if the binary data is not actually byte-format data, but, for example, 32-bit integers or floats)."
 	 * 
 	 * https://developer.mozilla.org/en-US/Add-ons/Code_snippets/StringView
 	 * 
-	 * Although i'm strugglig to see how it solves this issue? Doesn't appear to be a direct method for conversion?
+	 * Although i'm strugglig to see how StringView solves this issue? Doesn't appear to be a direct method for conversion?
 	 * 
-	 * Async method using Blob and FileReader could be best, but i'm not sure how to fit it into this flow?
+	 * Async method using Blob and FileReader could be best, but i'm not sure how to fit it into the flow?
 	 */
-    /*var binary_string = '';
-    //var bytes = new Uint8Array( array_buffer );
-    var bytes = array_buffer;
-    var len = bytes.byteLength;
-    for (var i = 0; i < len; i++) {
-        binary_string += String.fromCharCode( bytes[ i ] );
-    }
-    return binary_string;*/
-	
-	if(isArrayBufferView())
-		array_buffer = array_buffer.buffer;
+	jsPDFAPI.arrayBufferToBinaryString = function(buffer) {
+		if(this.isArrayBuffer(buffer))
+			buffer = new Uint8Array(buffer);
+	    var binary_string = '';
+	    var len = buffer.byteLength;
+	    for (var i = 0; i < len; i++) {
+	        binary_string += String.fromCharCode(buffer[i]);
+	    }
+	    return binary_string;
+	    /*
+	     * Another solution is the method below - convert array buffer straight to base64 and then use atob
+	     */
+		//return atob(arrayBufferToBase64(array_buffer));
+	};
 	
-	return window.atob(base64ArrayBuffer(array_buffer));
-}
-, createImageInfo = function(data, wd, ht, cs, bpc, f, imageIndex, alias, dp, trns, pal, smask) {
-	var info = {
-			alias:alias,
-			w : wd,
-			h : ht,
-			cs : cs,
-			bpc : bpc,
-			i : imageIndex,
-			data : data
-			// n: objectNumber will be added by putImage code
-		};
-	
-	if(f)
-		info.f = f;
-	
-	if(dp)
-		info.dp = dp;
-	
-	if(trns)
-		info.trns = trns;
-	
-	if(pal)
-		info.pal = pal;
-	
-	if(smask)
-		info.smask = smask;
-	
-	return info;
-};
+	/**
+	 * Converts an ArrayBuffer directly to base64
+	 * 
+	 * Taken from here
+	 * 
+	 * http://jsperf.com/encoding-xhr-image-data/31
+	 * 
+	 * Need to test if this is a better solution for larger files
+	 * 
+	 */
+	jsPDFAPI.arrayBufferToBase64 = function(arrayBuffer) {
+		var base64    = ''
+		var encodings = 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/'
 
-jsPDFAPI.addImage = function(imageData, format, x, y, w, h, alias, transparency) {
-	'use strict'
-	var images = this.internal.collections[namespace + 'images'],
-		cached_info,
-		binaryStringData;
-	
-	transparency = transparency || false;
+		var bytes         = new Uint8Array(arrayBuffer)
+		var byteLength    = bytes.byteLength
+		var byteRemainder = byteLength % 3
+		var mainLength    = byteLength - byteRemainder
 
-	if(typeof format === 'number') {
-		var tmp = h;
-		h = w;
-		w = y;
-		y = x;
-		x = format;
-		format = tmp || 'jpeg';
-	}
-	
-	if(typeof alias === 'undefined') {
-		// TODO: Alias dynamic generation from imageData's checksum/hash
-	}
+		var a, b, c, d
+		var chunk
 
-	if (typeof imageData === 'object' && imageData.nodeType === 1) {
-        var canvas = document.createElement('canvas');
-        canvas.width = imageData.clientWidth || imageData.width;
-	    canvas.height = imageData.clientHeight || imageData.height;
+		// Main loop deals with bytes in chunks of 3
+		for (var i = 0; i < mainLength; i = i + 3) {
+			// Combine the three bytes into a single integer
+			chunk = (bytes[i] << 16) | (bytes[i + 1] << 8) | bytes[i + 2]
 
-        var ctx = canvas.getContext('2d');
-        if (!ctx) {
-            throw ('addImage requires canvas to be supported by browser.');
-        }
-        ctx.drawImage(imageData, 0, 0, canvas.width, canvas.height);
-        imageData = canvas.toDataURL(transparency ? 'image/png' : 'image/jpeg');
-	    format = "png";
-	}
-	
-	if(typeof imageData === 'string') {
-		if(imageData.charCodeAt(0) !== 0xff && imageData.substr(0,5) !== 'data:') {
-			// This is neither raw jpeg-data nor a data uri; alias?
-			if(images) {
+			// Use bitmasks to extract 6-bit segments from the triplet
+			a = (chunk & 16515072) >> 18 // 16515072 = (2^6 - 1) << 18
+			b = (chunk & 258048)   >> 12 // 258048   = (2^6 - 1) << 12
+			c = (chunk & 4032)     >>  6 // 4032     = (2^6 - 1) << 6
+			d = chunk & 63               // 63       = 2^6 - 1
 
-				for(var e in images) {
+			// Convert the raw binary segments to the appropriate ASCII encoding
+			base64 += encodings[a] + encodings[b] + encodings[c] + encodings[d]
+		}
 
-					if(imageData === images[e].alias) {
-						cached_info = images[e];
-						break;
-					}
-				}
-			}
+		// Deal with the remaining bytes and padding
+		if (byteRemainder == 1) {
+			chunk = bytes[mainLength]
 
-		} else {
+			a = (chunk & 252) >> 2 // 252 = (2^6 - 1) << 2
+
+			// Set the 4 least significant bits to zero
+			b = (chunk & 3)   << 4 // 3   = 2^2 - 1
+
+			base64 += encodings[a] + encodings[b] + '=='
+		} else if (byteRemainder == 2) {
+			chunk = (bytes[mainLength] << 8) | bytes[mainLength + 1]
+
+			a = (chunk & 64512) >> 10 // 64512 = (2^6 - 1) << 10
+			b = (chunk & 1008)  >>  4 // 1008  = (2^6 - 1) << 4
+
+			// Set the 2 least significant bits to zero
+			c = (chunk & 15)    <<  2 // 15    = 2^4 - 1
+
+			base64 += encodings[a] + encodings[b] + encodings[c] + '='
+		}
+
+		return base64
+	};
+	
+	
+	jsPDFAPI.createImageInfo = function(data, wd, ht, cs, bpc, f, imageIndex, alias, dp, trns, pal, smask) {
+		var info = {
+				alias:alias,
+				w : wd,
+				h : ht,
+				cs : cs,
+				bpc : bpc,
+				i : imageIndex,
+				data : data
+				// n: objectNumber will be added by putImage code
+			};
+		
+		if(f) info.f = f;
+		if(dp) info.dp = dp;
+		if(trns) info.trns = trns;
+		if(pal) info.pal = pal;
+		if(smask) info.smask = smask;
+		
+		return info;
+	};
+	
+	jsPDFAPI.addImage = function(imageData, format, x, y, w, h, alias, compress) {
+		'use strict'
+		
+		if(typeof format === 'number') {
+			var tmp = h;
+			h = w;
+			w = y;
+			y = x;
+			x = format;
+			format = tmp || 'jpeg';
+		}
+		
+		var images = getImages.call(this),//initalises internals and events on first run
+			cached_info,
+			dataAsBinaryString;
+	
+		compress = compress || false;
+		format = format.toLowerCase();
+		
+		if(noAliasDefined(alias))
+			alias = generateAliasFromData(imageData);
+		
+		if(isDOMElement(imageData))
+			imageData = createDataURIFromElement(imageData, format);
+				
+		if(this.isString(imageData)) {
 			
-			var base64Info = extractBase64Info(imageData);
+			var base64Info = this.extractInfoFromBase64DataURI(imageData);
 			
 			if(base64Info) {
 				
@@ -320,190 +467,121 @@ jsPDFAPI.addImage = function(imageData, format, x, y, w, h, alias, transparency)
 				 * need to test if it's more efficent to convert all binary strings
 				 * to TypedArray - or should we just leave and process as string?
 				 */
-				if(supportsArrayBuffer()) {
-					binaryStringData = imageData;
-					imageData = binaryStringToUint8Array(imageData);
+				if(this.supportsArrayBuffer()) {
+					dataAsBinaryString = imageData;
+					imageData = this.binaryStringToUint8Array(imageData);
 				}
-					
+				
+			}else{
+				// This is neither raw jpeg-data nor a data uri; alias?
+				if(imageData.charCodeAt(0) !== 0xff)
+					cached_info = checkImagesForAlias(imageData, images);
 			}
 		}
-	}
-	
-	if( supported_image_types.indexOf(format.toLowerCase()) == -1 )
-		throw new Error('addImage currently only supports formats ' + supported_image_types + ', not \''+format+'\'');
-
-	var imageIndex
-	, coord = this.internal.getCoordinateString
-	, vcoord = this.internal.getVerticalCoordinateString;
-
-	if (images){
-		// this is NOT the first time this method is ran on this instance of jsPDF object.
-		imageIndex = Object.keys ? 
-		Object.keys(images).length :
-		(function(o){
-			var i = 0
-			for (var e in o){if(o.hasOwnProperty(e)){ i++ }}
-			return i
-		})(images)
-	} else {
-		// this is the first time this method is ran on this instance of jsPDF object.
-		imageIndex = 0
-		this.internal.collections[namespace + 'images'] = images = {}
-		this.internal.events.subscribe('putResources', putResourcesCallback)
-		this.internal.events.subscribe('putXobjectDict', putXObjectsDictCallback)
-	}
-
-	var info = cached_info;
-	
-	if(!info) {
 		
-		var img,
-			dims,
-			dp,
-			trns,
-			colorSpace = color_spaces[0],
-			filter = filter_methods[0],
-			bpc = 8,
-			colors,
-			pal,
-			smask;
+		if(doesNotSupportImageType(format))
+			throw new Error('addImage currently only supports formats ' + supported_image_types + ', not \''+format+'\'');
 		
-		format = format.toLocaleLowerCase();
+		if(processMethodNotEnabled(format))
+			throw new Error('please ensure that the plugin for \''+format+'\' support is added');
 		
-		/*
-		 * we have a binary string
-		 */
-		if(typeof imageData === 'string') {
+		var imageIndex = getImageIndex(images),
+			info = cached_info;
+
+		if(!info) {
 			
-			if(['jpeg', 'jpg'].indexOf(format) !== -1) {
-				
-				dims = getJpegSize(imageData);
-				info = createImageInfo(imageData, dims[0], dims[1], colorSpace, bpc, filter, imageIndex, alias);
-			}
+			if(format === 'jpg')
+				format = 'jpeg';
 			
-			if(format === 'png') {
-				
+			info = this['process' + format.toUpperCase()](imageData, imageIndex, alias, compress, dataAsBinaryString);
+		}
+		
+		if( !info )
+			throw new Error('An unkwown error occurred whilst processing the image');
+		
+		writeImageToPDF.call(this, x, y, w, h, info, imageIndex, images);
+	
+		return this 
+	};
+	
+	
+	/**
+	 * JPEG SUPPORT
+	 **/
+	
+	//takes a string imgData containing the raw bytes of
+	//a jpeg image and returns [width, height]
+	//Algorithm from: http://www.64lines.com/jpeg-width-height
+	var getJpegSize = function(imgData) {
+		'use strict'
+		var width, height;
+		// Verify we have a valid jpeg header 0xff,0xd8,0xff,0xe0,?,?,'J','F','I','F',0x00
+		if (!imgData.charCodeAt(0) === 0xff ||
+			!imgData.charCodeAt(1) === 0xd8 ||
+			!imgData.charCodeAt(2) === 0xff ||
+			!imgData.charCodeAt(3) === 0xe0 ||
+			!imgData.charCodeAt(6) === 'J'.charCodeAt(0) ||
+			!imgData.charCodeAt(7) === 'F'.charCodeAt(0) ||
+			!imgData.charCodeAt(8) === 'I'.charCodeAt(0) ||
+			!imgData.charCodeAt(9) === 'F'.charCodeAt(0) ||
+			!imgData.charCodeAt(10) === 0x00) {
+				throw new Error('getJpegSize requires a binary string jpeg file')
+		}
+		var blockLength = imgData.charCodeAt(4)*256 + imgData.charCodeAt(5);
+		var i = 4, len = imgData.length;
+		while ( i < len ) {
+			i += blockLength;
+			if (imgData.charCodeAt(i) !== 0xff) {
+				throw new Error('getJpegSize could not find the size of the image');
 			}
+			if (imgData.charCodeAt(i+1) === 0xc0 || //(SOF) Huffman  - Baseline DCT
+			    imgData.charCodeAt(i+1) === 0xc1 || //(SOF) Huffman  - Extended sequential DCT 
+			    imgData.charCodeAt(i+1) === 0xc2 || // Progressive DCT (SOF2)
+			    imgData.charCodeAt(i+1) === 0xc3 || // Spatial (sequential) lossless (SOF3)
+			    imgData.charCodeAt(i+1) === 0xc4 || // Differential sequential DCT (SOF5)
+			    imgData.charCodeAt(i+1) === 0xc5 || // Differential progressive DCT (SOF6)
+			    imgData.charCodeAt(i+1) === 0xc6 || // Differential spatial (SOF7)
+			    imgData.charCodeAt(i+1) === 0xc7) {
+				height = imgData.charCodeAt(i+5)*256 + imgData.charCodeAt(i+6);
+				width = imgData.charCodeAt(i+7)*256 + imgData.charCodeAt(i+8);
+				return [width, height];
+			} else {
+				i += 2;
+				blockLength = imgData.charCodeAt(i)*256 + imgData.charCodeAt(i+1)
+			}
+		}
+	};
+	
+	
+	jsPDFAPI.processJPEG = function(imageData, imageIndex, alias, compress, dataAsBinaryString) {
+		'use strict'
+		var colorSpace = this.DEVICE_RGB,
+			filter = this.DCT_DECODE,
+			bpc = 8,
+			dims;
+		
+		if(this.isString(imageData)) {
+			dims = getJpegSize(imageData);
+			return this.createImageInfo(imageData, dims[0], dims[1], colorSpace, bpc, filter, imageIndex, alias);
 		}
 		
-		if(isArrayBuffer(imageData))
+		if(this.isArrayBuffer(imageData))
 			imageData = new Uint8Array(imageData);
 		
-		if(isArrayBufferView(imageData)) {
+		if(this.isArrayBufferView(imageData)) {
 			
-			if(['jpeg', 'jpg'].indexOf(format) !== -1) {
-				img = new JpegImage();
-				img.parse(imageData);
-				
-				/*
-				 * check if already have a stored binary string rep
-				 */
-				imageData = binaryStringData || arrayBufferToBinaryString(imageData);
-				
-				info = createImageInfo(imageData, img.width, img.height, colorSpace, bpc, filter, imageIndex, alias);
-			}
+			var img = new JpegImage();
+			img.parse(imageData);
 			
-			if(format === 'png') {
-				
-				img = new PNG(imageData);
-				imageData = img.imgData;
-				bpc = img.bits;
-				colorSpace = img.colorSpace;
-				colors = img.colors;
-				filter = filter_methods[1];//FlateDecode as png pixels are compressed
-				
-				/*
-				 * we need to extract alpha layer and add it as a smask
-				 */
-				if(img.colorType === 6 &&
-				   img.pixelBitlength === 32) {
-					
-					var //pixels = new DataView(img.decode().buffer),
-						pixels = new Uint32Array(img.decode().buffer),
-						//len = pixels.byteLength / 4,
-						len = pixels.length,
-						colorData = new Uint8Array(len * 3),
-						transData = new Uint8Array(len),
-						pixel,
-						i = 0,
-						n = 0;
-					
-					for(; i < len; i++) {
-						//pixel = pixels.getInt32(i);
-						pixel = pixels[i];
-						
-						colorData[n++] = ( pixel >> 0 ) & 0xff;
-						colorData[n++] = ( pixel >> 8 ) & 0xff;
-						colorData[n++] = ( pixel >> 16 ) & 0xff;
-						
-						transData[i] = ( pixel >> 24 ) & 0xff;
-					}
-					
-					imageData = colorData;
-					smask = arrayBufferToBinaryString(transData);
-					filter = null;
-				}
-				
-				if(filter === filter_methods[1])
-					dp = '/Predictor 15 /Colors '+ colors +' /BitsPerComponent '+ bpc +' /Columns '+ img.width;
-				
-				if(img.palette && img.palette.length > 0)
-					pal = img.palette;
-				
-				//I'm not sure the output from png.js is correct for this?
-				/*if(img.transparency.indexed)
-					trns = img.transparency.indexed;*/
-				
-				info = createImageInfo(arrayBufferToBinaryString(imageData),
-									   img.width,
-									   img.height,
-									   colorSpace,
-									   bpc,
-									   filter,
-									   imageIndex,
-									   alias,
-									   dp,
-									   trns,
-									   pal,
-									   smask);
-			}
+			/*
+			 * if we already have a stored binary string rep use that
+			 */
+			imageData = dataAsBinaryString || this.arrayBufferToBinaryString(imageData);
+			
+			return this.createImageInfo(imageData, img.width, img.height, colorSpace, bpc, filter, imageIndex, alias);
 		}
 		
-	}
-	
-	if( !info )
-		throw new Error('Something went wrong, theres no image info');
-	
-	images[imageIndex] = info;
-	
-	if (!w && !h) {
-		w = -96;
-		h = -96;
-	}
-	if (w < 0) {
-		w = (-1) * info['w'] * 72 / w / this.internal.scaleFactor;
-	}
-	if (h < 0) {
-		h = (-1) * info['h'] * 72 / h / this.internal.scaleFactor;
-	}
-	if (w === 0) {
-		w = h * info['w'] / info['h'];
-	}
-	if (h === 0) {
-		h = w * info['h'] / info['w'];
-	}
-
-	this.internal.write(
-		'q'
-		, coord(w)
-		, '0 0'
-		, coord(h) // TODO: check if this should be shifted by vcoord
-		, coord(x)
-		, vcoord(y + h)
-		, 'cm /I'+info['i']
-		, 'Do Q'
-	)
+		return null;
+	};
 
-	return this 
-}
 })(jsPDF.API);
diff --git a/jspdf.plugin.png_support.js b/jspdf.plugin.png_support.js
new file mode 100755
index 000000000..235b65e55
--- /dev/null
+++ b/jspdf.plugin.png_support.js
@@ -0,0 +1,216 @@
+/** ==================================================================== 
+ * jsPDF [NAME] plugin
+ * Copyright (c) 2013 [YOUR NAME HERE] [WAY TO CONTACT YOU HERE]
+ * 
+ * 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.
+ * ====================================================================
+ */
+
+(function(jsPDFAPI) {
+'use strict'
+	
+	/*
+	 * @see http://www.w3.org/TR/PNG-Chunks.html
+	 * 
+	 Color    Allowed      Interpretation
+	 Type     Bit Depths
+	   
+	   0       1,2,4,8,16  Each pixel is a grayscale sample.
+	   
+	   2       8,16        Each pixel is an R,G,B triple.
+	   
+	   3       1,2,4,8     Each pixel is a palette index;
+	                       a PLTE chunk must appear.
+	   
+	   4       8,16        Each pixel is a grayscale sample,
+	                       followed by an alpha sample.
+	   
+	   6       8,16        Each pixel is an R,G,B triple,
+	                       followed by an alpha sample.
+	*/
+	
+	/*
+	 * PNG filter method types
+	 * 
+	 * @see http://www.w3.org/TR/PNG-Filters.html
+	 * @see http://www.libpng.org/pub/png/book/chapter09.html
+	 * 
+	 * This is what the value 'Predictor' in decode params relates to
+	 * 
+	 * 15 is "optimal prediction", which means the prediction algorithm can change from line to line. In that case, you actually have to read the first byte off each line for the prediction algorthim (which should be 0-4, corresponding to PDF 10-14) and select the appropriate unprediction algorithm based on that byte
+	 *
+	   0       None
+	   1       Sub
+	   2       Up
+	   3       Average
+	   4       Paeth
+	 */
+	
+	var doesNotHavePngJS = function() {
+		return typeof PNG !== 'function' || typeof FlateStream !== 'function';
+	}
+	, hasCompressionJS = function() {
+		var inst = typeof zpipe === 'object';
+		if(!inst)
+			console.log("requires zpipe.js for compression")
+		return inst;
+	}
+	, compressBytes = function(bytes, width, colors) {
+		
+		bytes = applyPngFilterMethod(bytes, width, colors);
+		
+		return zpipe.deflate(this.arrayBufferToBinaryString(bytes));
+	}
+	, applyPngFilterMethod = function(bytes, width, colors){
+		
+		/*
+		 * TODO - this is only filter method 0 - None
+		 * 
+		 * implement all 5
+		 */
+		var lines = bytes.length / (width * colors),
+			arr = new Uint8Array(bytes.length + lines),
+			i = 0, offset;
+		
+		for(; i < lines; i++) {
+			offset = i * width * colors;
+			arr[offset + i] = 0;
+			arr.set(bytes.subarray(offset, (offset + width ) * colors), offset + i + 1);
+		}
+		
+		return arr;
+	}
+	, logImg = function(img) {
+		console.log("width: " + img.width);
+		console.log("height: " + img.height);
+		console.log("bits: " + img.bits);
+		console.log("colorType: " + img.colorType);
+		console.log("transparency:");
+		console.log(img.transparency);
+		console.log("text:");
+		console.log(img.text);
+		console.log("compressionMethod: " + img.compressionMethod);
+		console.log("filterMethod: " + img.filterMethod);
+		console.log("interlaceMethod: " + img.interlaceMethod);
+		console.log("imgData:");
+		console.log(img.imgData);
+		console.log("palette:");
+		console.log(img.palette);
+		console.log("colors: " + img.colors);
+		console.log("colorSpace: " + img.colorSpace);
+		console.log("pixelBitlength: " + img.pixelBitlength);
+		console.log("hasAlphaChannel: " + img.hasAlphaChannel);
+	};
+	
+	
+	
+	
+	jsPDFAPI.processPNG = function(imageData, imageIndex, alias, compress, dataAsBinaryString) {
+		'use strict'
+		
+		var colorSpace = this.DEVICE_RGB,
+			compression = this.FLATE_DECODE,
+			bpc = 8,
+			img, dp, trns,
+			colors, pal, smask;
+		
+		if(this.isString(imageData)) {
+			
+		}
+		
+		if(this.isArrayBuffer(imageData))
+			imageData = new Uint8Array(imageData);
+		
+		if(this.isArrayBufferView(imageData)) {
+			
+			if(doesNotHavePngJS())
+				throw new Error("PNG support requires png.js and zlib.js");
+				
+			img = new PNG(imageData);
+			imageData = img.imgData;
+			bpc = img.bits;
+			colorSpace = img.colorType != 3 ? img.colorSpace : this.INDEXED;
+			colors = img.colors;
+			
+			//logImg(img);
+			
+			/*
+			 * we need to extract alpha layer and add it as a smask
+			 */
+			if(img.colorType === 6 &&
+			   img.pixelBitlength === 32) {
+				
+				var pixels = new Uint32Array(img.decodePixels().buffer),
+					len = pixels.length,
+					colorData = new Uint8Array(len * 3),
+					transData = new Uint8Array(len),
+					pixel,
+					i = 0,
+					n = 0;
+				
+				for(; i < len; i++) {
+					pixel = pixels[i];
+					
+					colorData[n++] = ( pixel >> 0 ) & 0xff;
+					colorData[n++] = ( pixel >> 8 ) & 0xff;
+					colorData[n++] = ( pixel >> 16 ) & 0xff;
+					
+					transData[i] = ( pixel >> 24 ) & 0xff;
+				}
+				
+				if(compress && hasCompressionJS()) {
+										
+					imageData = compressBytes.call(this, colorData, img.width, img.colors);
+					//smask = compressBytes.call(this, transData);
+					smask = this.arrayBufferToBinaryString(transData);
+					compression = this.FLATE_DECODE;
+					
+				}else{
+					
+					imageData = colorData;
+					smask = this.arrayBufferToBinaryString(transData);
+					compression = null;
+				}
+			}
+			
+			if(compression === this.FLATE_DECODE)
+				dp = '/Predictor 15 /Colors '+ colors +' /BitsPerComponent '+ bpc +' /Columns '+ img.width;
+			else
+				//remove 'Predictor' as it applies to the type of png filter applied to its IDAT - we only apply with compression
+				dp = '/Colors '+ colors +' /BitsPerComponent '+ bpc +' /Columns '+ img.width;
+			
+			if(img.palette && img.palette.length > 0)
+				pal = img.palette;
+			
+			//I'm not sure the output from png.js is correct for this
+			/*if(img.transparency.indexed)
+				trns = img.transparency.indexed;*/
+			
+			if(this.isArrayBuffer(imageData) || this.isArrayBufferView(imageData))
+				imageData = this.arrayBufferToBinaryString(imageData);
+			
+			return this.createImageInfo(imageData, img.width, img.height, colorSpace,
+										bpc, compression, imageIndex, alias, dp, trns, pal, smask);
+		}
+		
+		return info;
+	}
+
+})(jsPDF.API)
diff --git a/libs/png_support/arrayBufferToBase64.js b/libs/png_support/arrayBufferToBase64.js
deleted file mode 100644
index f200e30df..000000000
--- a/libs/png_support/arrayBufferToBase64.js
+++ /dev/null
@@ -1,55 +0,0 @@
-// Converts an ArrayBuffer directly to base64, without any intermediate 'convert to string then
-// use window.btoa' step. According to my tests, this appears to be a faster approach:
-// http://jsperf.com/encoding-xhr-image-data/5
-
-function base64ArrayBuffer(arrayBuffer) {
-  var base64    = ''
-  var encodings = 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/'
-
-  var bytes         = new Uint8Array(arrayBuffer)
-  var byteLength    = bytes.byteLength
-  var byteRemainder = byteLength % 3
-  var mainLength    = byteLength - byteRemainder
-
-  var a, b, c, d
-  var chunk
-
-  // Main loop deals with bytes in chunks of 3
-  for (var i = 0; i < mainLength; i = i + 3) {
-    // Combine the three bytes into a single integer
-    chunk = (bytes[i] << 16) | (bytes[i + 1] << 8) | bytes[i + 2]
-
-    // Use bitmasks to extract 6-bit segments from the triplet
-    a = (chunk & 16515072) >> 18 // 16515072 = (2^6 - 1) << 18
-    b = (chunk & 258048)   >> 12 // 258048   = (2^6 - 1) << 12
-    c = (chunk & 4032)     >>  6 // 4032     = (2^6 - 1) << 6
-    d = chunk & 63               // 63       = 2^6 - 1
-
-    // Convert the raw binary segments to the appropriate ASCII encoding
-    base64 += encodings[a] + encodings[b] + encodings[c] + encodings[d]
-  }
-
-  // Deal with the remaining bytes and padding
-  if (byteRemainder == 1) {
-    chunk = bytes[mainLength]
-
-    a = (chunk & 252) >> 2 // 252 = (2^6 - 1) << 2
-
-    // Set the 4 least significant bits to zero
-    b = (chunk & 3)   << 4 // 3   = 2^2 - 1
-
-    base64 += encodings[a] + encodings[b] + '=='
-  } else if (byteRemainder == 2) {
-    chunk = (bytes[mainLength] << 8) | bytes[mainLength + 1]
-
-    a = (chunk & 64512) >> 10 // 64512 = (2^6 - 1) << 10
-    b = (chunk & 1008)  >>  4 // 1008  = (2^6 - 1) << 4
-
-    // Set the 2 least significant bits to zero
-    c = (chunk & 15)    <<  2 // 15    = 2^4 - 1
-
-    base64 += encodings[a] + encodings[b] + encodings[c] + '='
-  }
-  
-  return base64
-}
\ No newline at end of file
diff --git a/libs/png_support/zpipe.min.js b/libs/png_support/zpipe.min.js
new file mode 100644
index 000000000..a72971a23
--- /dev/null
+++ b/libs/png_support/zpipe.min.js
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+e,i=d;;){var i=i-1|0,o=l[g],m=a[b];a[b]=m+1|0;l[a[c]+m|0]=o;if(0==(i|0))break a;g=g+1|0}while(0)}function yf(c){var e,d,b,f;f=(c+5820|0)>>2;var g=k[f];b=(c+5816|0)>>1;e=p[b]&65535|2<<g;d=e&65535;h[b]=d;if(13<(g|0)){d=(c+20|0)>>2;var i=a[d];a[d]=i+1|0;g=c+8|0;l[a[g>>2]+i|0]=e&255;e=(p[b]&65535)>>>8&255;i=k[d];a[d]=i+1|0;l[a[g>>2]+i|0]=e;e=k[f];d=2>>>((16-e|0)>>>0)&65535;h[b]=d;e=e-13|0}else e=g+3|0;g=d;a[f]=e;9<(e|0)?(d=(c+20|0)>>2,i=a[d],a[d]=i+1|0,e=c+8|0,l[a[e>>2]+i|0]=g&255,g=(p[b]&65535)>>>8&
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+a[f]-9|0):b=g+7|0;a[f]=b;cf(c)}a[d>>2]=7}function xa(c,e,d,b){var f,g;g=c>>2;var i=0<(a[g+33]|0);do if(i){var o=a[g]+44|0;if(2==(a[o>>2]|0)){for(var m=c>>1,j=void 0,R=0,L=-201342849;;){if(32<=(R|0)){j=5;break}if(0!=(L&1|0)&&0!=h[((R<<2)+148>>1)+m]<<16>>16){f=0;j=11;break}R=R+1|0;L>>>=1}a:do if(5==j)if(0!=h[m+92]<<16>>16)f=1;else if(0!=h[m+94]<<16>>16)f=1;else if(0!=h[m+100]<<16>>16)f=1;else for(R=32;;){if(256<=(R|0)){f=0;break a}if(0!=h[((R<<2)+148>>1)+m]<<16>>16){f=1;break a}R=R+1|0}while(0);a[o>>
+2]=f}jd(c,c+2840|0);jd(c,c+2852|0);m=c;kd(m,m+148|0,a[m+2844>>2]);kd(m,m+2440|0,a[m+2856>>2]);jd(m,m+2864|0);for(o=18;!(2>=(o|0));){if(0!=h[m+((y[s._bl_order+o|0]&255)<<2)+2686>>1]<<16>>16)break;o=o-1|0}m=m+5800|0;a[m>>2]=3*o+a[m>>2]+17|0;j=(a[g+1450]+10|0)>>>3;R=(a[g+1451]+10|0)>>>3;R>>>0>j>>>0?(m=R,R=j):m=R}else j=d+5|0,o=0,R=m=j;while(0);(d+4|0)>>>0>R>>>0|0==(e|0)?(e=(c+5820|0)>>2,f=k[e],j=13<(f|0),4==(a[g+34]|0)|(m|0)==(R|0)?(o=b+2&65535,g=(c+5816|0)>>1,i=p[g]&65535|o<<f,h[g]=i&65535,j?(d=(c+
+20|0)>>2,m=a[d],a[d]=m+1|0,f=c+8|0,l[a[f>>2]+m|0]=i&255,i=(p[g]&65535)>>>8&255,m=k[d],a[d]=m+1|0,l[a[f>>2]+m|0]=i,d=k[e],h[g]=o>>>((16-d|0)>>>0)&65535,g=d-13|0):g=f+3|0,a[e]=g,ld(c,md|0,$d|0)):(i=b+4&65535,d=(c+5816|0)>>1,m=p[d]&65535|i<<f,h[d]=m&65535,j?(f=(c+20|0)>>2,R=a[f],a[f]=R+1|0,j=c+8|0,l[a[j>>2]+R|0]=m&255,m=(p[d]&65535)>>>8&255,R=k[f],a[f]=R+1|0,l[a[j>>2]+R|0]=m,f=k[e],h[d]=i>>>((16-f|0)>>>0)&65535,d=f-13|0):d=f+3|0,a[e]=d,pg(c,a[g+711]+1|0,a[g+714]+1|0,o+1|0),ld(c,c+148|0,c+2440|0))):re(c,
+e,d,b);Vc(c);0!=(b|0)&&og(c)}function ld(c,e,d){var b,f,g,i,o,m,j=e>>1,R=c+5792|0,L=0==(a[R>>2]|0);a:do if(L)var A=a[c+5820>>2],n=h[c+5816>>1];else{var x=c+5796|0,q=c+5784|0;m=(c+5820|0)>>2;o=(c+5816|0)>>1;i=(c+20|0)>>2;g=(c+8|0)>>2;for(var v=0;;){var t=p[a[x>>2]+(v<<1)>>1],w=t&65535,O=v+1|0,u=y[a[q>>2]+v|0]&255;if(0==t<<16>>16){var D=p[((u<<2)+2>>1)+j]&65535,ga=k[m],z=(ga|0)>(16-D|0),r=p[(u<<2>>1)+j]&65535,J=p[o]&65535|r<<ga,F=J&65535;h[o]=F;if(z){var E=J&255,B=a[i];a[i]=B+1|0;l[a[g]+B|0]=E;var C=
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+Ia;var Da=cb-16+Xa|0,Ya=Ia}else Da=db+cb|0,Ya=lc;a[m]=Da;var Sa=k[ae+(N<<2)>>2];if(20>(N-8|0)>>>0){var wa=(Da|0)>(16-Sa|0),Ta=u-a[qg+(N<<2)>>2]&65535,jb=Ta<<Da|Ya&65535,eb=jb&65535;h[o]=eb;if(wa){var rc=jb&255,Ua=a[i];a[i]=Ua+1|0;l[a[g]+Ua|0]=rc;var mc=(p[o]&65535)>>>8&255,Ba=k[i];a[i]=Ba+1|0;l[a[g]+Ba|0]=mc;var Oa=k[m],Za=Ta>>>((16-Oa|0)>>>0)&65535;h[o]=Za;var $a=Sa-16+Oa|0,kb=a[m]=$a,fb=Za}else var pb=Da+Sa|0,kb=a[m]=pb,fb=eb}else kb=Da,fb=Ya;var lb=w-1|0,P=y[s.__dist_code+(256>lb>>>0?lb:(lb>>>
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+function jd(c,e){var d,b,f,g,i,o,m=e|0,j=k[m>>2];i=j>>1;var R=e+8|0;f=a[R>>2];var L=a[f>>2],A=k[f+12>>2];g=(c+5200|0)>>2;a[g]=0;f=(c+5204|0)>>2;a[f]=573;b=0<(A|0);do if(b){o=0;for(var n=-1;;){if(0==h[(o<<2>>1)+i]<<16>>16){h[((o<<2)+2>>1)+i]=0;var x=n}else x=a[g]+1|0,a[g]=x,a[((x<<2)+c+2908|0)>>2]=o,l[c+(o+5208)|0]=0,x=o;o=o+1|0;if((o|0)==(A|0))break;n=x}o=a[g];if(2>(o|0)){d=o;var q=x;o=2}else{var v=x;o=9}}else d=0,q=-1,o=2;while(0);a:do if(2==o)if(b=(c+5800|0)>>2,x=c+5804|0,0==(L|0)){x=q;for(n=d;;){var t=
+2>(x|0),w=x+1|0,x=t?w:x,t=t?w:0,n=n+1|0;a[g]=n;a[c+(n<<2)+2908>>2]=t;h[(t<<2>>1)+i]=1;l[c+(t+5208)|0]=0;a[b]=a[b]-1|0;n=a[g];if(2<=(n|0)){v=x;break a}}}else{n=q;for(t=d;;){var w=2>(n|0),O=n+1|0,n=w?O:n,w=w?O:0,t=t+1|0;a[g]=t;a[c+(t<<2)+2908>>2]=w;h[(w<<2>>1)+i]=1;l[c+(w+5208)|0]=0;a[b]=a[b]-1|0;a[x>>2]=a[x>>2]-(p[L+(w<<2)+2>>1]&65535)|0;t=k[g];if(2<=(t|0)){v=n;break a}}}while(0);L=e+4|0;a[L>>2]=v;d=a[g];if(1<(d|0)){for(d=d/2|0;!(nd(c,j,d),d=d-1|0,0>=(d|0)););q=a[g]}else q=d;d=(c+2912|0)>>2;for(o=
+q;;){q=k[d];a[g]=o-1|0;a[d]=a[c+(o<<2)+2908>>2];nd(c,j,1);o=k[d];b=a[f]-1|0;a[f]=b;a[((b<<2)+c+2908|0)>>2]=q;b=a[f]-1|0;a[f]=b;a[((b<<2)+c+2908|0)>>2]=o;h[(A<<2>>1)+i]=h[(o<<2>>1)+i]+h[(q<<2>>1)+i]&65535;b=y[c+(q+5208)|0];x=y[c+(o+5208)|0];l[c+(A+5208)|0]=((b&255)<(x&255)?x:b)+1&255;b=A&65535;h[((o<<2)+2>>1)+i]=b;h[((q<<2)+2>>1)+i]=b;q=A+1|0;a[d]=A;nd(c,j,1);o=k[g];if(1>=(o|0))break;A=q}i=a[d];g=a[f]-1|0;a[f]=g;a[((g<<2)+c+2908|0)>>2]=i;ef(c,a[m>>2],a[L>>2],a[R>>2]);rg(j,v,c+2876|0)}function pg(c,
+e,d,b){var f,g,i;i=(c+5820|0)>>2;f=k[i];var o=e+65279&65535;g=(c+5816|0)>>1;var m=p[g]&65535|o<<f,j=m&65535;h[g]=j;if(11<(f|0)){f=(c+20|0)>>2;var R=a[f];a[f]=R+1|0;j=c+8|0;l[a[j>>2]+R|0]=m&255;m=(p[g]&65535)>>>8&255;R=k[f];a[f]=R+1|0;l[a[j>>2]+R|0]=m;f=k[i];o=o>>>((16-f|0)>>>0)&65535;h[g]=o;f=f-11|0;m=o}else f=f+5|0,m=j;a[i]=f;d=d-1|0;o=d&65535;m=m&65535|o<<f;j=m&65535;h[g]=j;11<(f|0)?(f=(c+20|0)>>2,R=a[f],a[f]=R+1|0,j=c+8|0,l[a[j>>2]+R|0]=m&255,m=(p[g]&65535)>>>8&255,R=k[f],a[f]=R+1|0,l[a[j>>2]+
+R|0]=m,f=k[i],o=o>>>((16-f|0)>>>0)&65535,h[g]=o,f=f-11|0,m=o):(f=f+5|0,m=j);a[i]=f;o=b+65532&65535;m=m&65535|o<<f;j=m&65535;h[g]=j;12<(f|0)?(f=(c+20|0)>>2,R=a[f],a[f]=R+1|0,j=c+8|0,l[a[j>>2]+R|0]=m&255,m=(p[g]&65535)>>>8&255,R=k[f],a[f]=R+1|0,l[a[j>>2]+R|0]=m,f=k[i],m=o>>>((16-f|0)>>>0)&65535,h[g]=m,o=f-12|0):(o=f+4|0,m=j);a[i]=o;j=0<(b|0);a:do if(j){f=(c+20|0)>>2;for(var R=c+8|0,L=0,A=o,n=m;;){var x=p[c+((y[s._bl_order+L|0]&255)<<2)+2686>>1]&65535,q=n&65535|x<<A,n=q&65535;h[g]=n;13<(A|0)?(A=q&255,
+n=a[f],a[f]=n+1|0,l[a[R>>2]+n|0]=A,A=(p[g]&65535)>>>8&255,n=k[f],a[f]=n+1|0,l[a[R>>2]+n|0]=A,A=k[i],n=x>>>((16-A|0)>>>0)&65535,h[g]=n,x=A-13|0):x=A+3|0;a[i]=x;L=L+1|0;if((L|0)==(b|0))break a;A=x}}while(0);ce(c,c+148|0,e-1|0);ce(c,c+2440|0,d)}function ce(c,e,d){var b,f,g,i,o=p[e+2>>1],m=0==o<<16>>16,j=m?138:7,R=m?3:4,L=c+2754|0;i=(c+5820|0)>>2;var A=c+2752|0;g=(c+5816|0)>>1;f=(c+20|0)>>2;b=(c+8|0)>>2;var n=c+2758|0,x=c+2756|0,q=c+2750|0,v=c+2748|0,t=R,w=j,O=0,u=-1,y=o&65535;a:for(;;){for(var s=0,z=
+O,r=y;;){if((z|0)>(d|0))break a;var D=z+1|0,F=p[e+(D<<2)+2>>1],E=F&65535,B=s+1|0,C=(r|0)==(E|0);if(!((B|0)<(w|0)&C))break;s=B;z=D;r=E}var Q=(B|0)<(t|0);b:do if(Q)for(var K=(r<<2)+c+2686|0,X=(r<<2)+c+2684|0,G=B,M=a[i],Z=h[g];;){var Ma=p[K>>1]&65535,N=(M|0)>(16-Ma|0),ma=p[X>>1]&65535,cb=Z&65535|ma<<M,db=cb&65535;h[g]=db;if(N){var ya=cb&255,fa=a[f];a[f]=fa+1|0;l[a[b]+fa|0]=ya;var ta=(p[g]&65535)>>>8&255,lc=k[f];a[f]=lc+1|0;l[a[b]+lc|0]=ta;var va=k[i],Na=ma>>>((16-va|0)>>>0)&65535;h[g]=Na;var tb=Ma-16+
+va|0,Aa=Na}else tb=M+Ma|0,Aa=db;a[i]=tb;var Xa=G-1|0;if(0==(Xa|0))break b;G=Xa;M=tb;Z=Aa}else if(0==(r|0))if(11>(B|0)){var Ia=p[L>>1]&65535,Da=k[i],Ya=(Da|0)>(16-Ia|0),Sa=p[A>>1]&65535,oa=p[g]&65535|Sa<<Da,Ta=oa&65535;h[g]=Ta;if(Ya){var jb=oa&255,eb=a[f];a[f]=eb+1|0;l[a[b]+eb|0]=jb;var xa=(p[g]&65535)>>>8&255,Ua=k[f];a[f]=Ua+1|0;l[a[b]+Ua|0]=xa;var wa=k[i],Ba=Sa>>>((16-wa|0)>>>0)&65535;h[g]=Ba;var Oa=Ia-16+wa|0,Za=Ba}else Oa=Da+Ia|0,Za=Ta;a[i]=Oa;var $a=s+65534&65535,kb=Za&65535|$a<<Oa;h[g]=kb&65535;
+if(13<(Oa|0)){var fb=a[f];a[f]=fb+1|0;l[a[b]+fb|0]=kb&255;var pb=(p[g]&65535)>>>8&255,lb=k[f];a[f]=lb+1|0;l[a[b]+lb|0]=pb;var P=k[i];h[g]=$a>>>((16-P|0)>>>0)&65535;a[i]=P-13|0}else a[i]=Oa+3|0}else{var aa=p[n>>1]&65535,$=k[i],qa=($|0)>(16-aa|0),H=p[x>>1]&65535,ba=p[g]&65535|H<<$,V=ba&65535;h[g]=V;if(qa){var I=ba&255,sa=a[f];a[f]=sa+1|0;l[a[b]+sa|0]=I;var ub=(p[g]&65535)>>>8&255,ha=k[f];a[f]=ha+1|0;l[a[b]+ha|0]=ub;var ja=k[i],ka=H>>>((16-ja|0)>>>0)&65535;h[g]=ka;var W=aa-16+ja|0,na=ka}else W=$+aa|
+0,na=V;a[i]=W;var ra=s+65526&65535,pa=na&65535|ra<<W;h[g]=pa&65535;if(9<(W|0)){var la=a[f];a[f]=la+1|0;l[a[b]+la|0]=pa&255;var ua=(p[g]&65535)>>>8&255,Va=k[f];a[f]=Va+1|0;l[a[b]+Va|0]=ua;var Fa=k[i];h[g]=ra>>>((16-Fa|0)>>>0)&65535;a[i]=Fa-9|0}else a[i]=W+7|0}else{if((r|0)==(u|0))var ab=B,T=a[i],Y=h[g];else{var U=p[c+(r<<2)+2686>>1]&65535,ca=k[i],ea=(ca|0)>(16-U|0),S=p[c+(r<<2)+2684>>1]&65535,Ea=p[g]&65535|S<<ca,gb=Ea&65535;h[g]=gb;if(ea){var vb=Ea&255,Wa=a[f];a[f]=Wa+1|0;l[a[b]+Wa|0]=vb;var Ga=(p[g]&
+65535)>>>8&255,hb=k[f];a[f]=hb+1|0;l[a[b]+hb|0]=Ga;var Ha=k[i],Wc=S>>>((16-Ha|0)>>>0)&65535;h[g]=Wc;var mb=U-16+Ha|0,wb=Wc}else mb=ca+U|0,wb=gb;a[i]=mb;ab=s;T=mb;Y=wb}var qb=p[q>>1]&65535,yb=(T|0)>(16-qb|0),ib=p[v>>1]&65535,Pa=Y&65535|ib<<T,Ja=Pa&65535;h[g]=Ja;if(yb){var Ka=Pa&255,rb=a[f];a[f]=rb+1|0;l[a[b]+rb|0]=Ka;var Ca=(p[g]&65535)>>>8&255,nb=k[f];a[f]=nb+1|0;l[a[b]+nb|0]=Ca;var Bb=k[i],xb=ib>>>((16-Bb|0)>>>0)&65535;h[g]=xb;var bb=qb-16+Bb|0,zb=xb}else bb=T+qb|0,zb=Ja;a[i]=bb;var Cb=ab+65533&
+65535,za=zb&65535|Cb<<bb;h[g]=za&65535;if(14<(bb|0)){var La=a[f];a[f]=La+1|0;l[a[b]+La|0]=za&255;var Qa=(p[g]&65535)>>>8&255,Ra=k[f];a[f]=Ra+1|0;l[a[b]+Ra|0]=Qa;var ob=k[i];h[g]=Cb>>>((16-ob|0)>>>0)&65535;a[i]=ob-14|0}else a[i]=bb+2|0}while(0);if(0==F<<16>>16)t=3,w=138;else var sb=C?6:7,t=C?3:4,w=sb;O=D;u=r;y=E}}function kd(a,e,d){var b=p[e+2>>1],f=0==b<<16>>16;h[e+(d+1<<2)+2>>1]=-1;var g=a+2752|0,i=a+2756|0,o=a+2748|0,m=f?3:4,f=f?138:7,k=0,j=-1,b=b&65535;a:for(;;){for(var l=0;;){if((k|0)>(d|0))break a;
+var A=k+1|0,n=p[e+(A<<2)+2>>1],x=n&65535,q=l+1|0,v=(b|0)==(x|0);if(!((q|0)<(f|0)&v))break;l=q;k=A;b=x}(q|0)<(m|0)?(m=(b<<2)+a+2684|0,h[m>>1]=(p[m>>1]&65535)+q&65535):0==(b|0)?11>(q|0)?h[g>>1]=h[g>>1]+1&65535:h[i>>1]=h[i>>1]+1&65535:((b|0)!=(j|0)&&(m=(b<<2)+a+2684|0,h[m>>1]=h[m>>1]+1&65535),h[o>>1]=h[o>>1]+1&65535);0==n<<16>>16?(m=3,f=138):(f=v?6:7,m=v?3:4);k=A;j=b;b=x}}function nd(c,e,d){for(var b=c>>2,f=k[((d<<2)+2908>>2)+b],g=c+(f+5208)|0,i=c+5200|0,o=(f<<2)+e|0;;){var m=d<<1,j=a[i>>2];if((m|0)>
+(j|0))break;j=(m|0)<(j|0);do if(j){var h=m|1,l=k[((h<<2)+2908>>2)+b],A=p[e+(l<<2)>>1],n=k[((m<<2)+2908>>2)+b],x=p[e+(n<<2)>>1];if((A&65535)>=(x&65535)){if(A<<16>>16!=x<<16>>16){h=m;break}if((y[c+(l+5208)|0]&255)>(y[c+(n+5208)|0]&255)){h=m;break}}}else h=m;while(0);m=p[o>>1];j=k[((h<<2)+2908>>2)+b];l=p[e+(j<<2)>>1];if((m&65535)<(l&65535))break;if(m<<16>>16==l<<16>>16&&(y[g]&255)<=(y[c+(j+5208)|0]&255))break;a[((d<<2)+2908>>2)+b]=j;d=h}a[((d<<2)+2908>>2)+b]=f}function ef(c,e,d,b){var f,g=e>>1,i=k[b>>
+2],o=k[b+4>>2],m=k[b+8>>2],b=k[b+16>>2];Sb(c+2876|0,0,32,2);f=c+5204|0;h[((a[c+(a[f>>2]<<2)+2908>>2]<<2)+2>>1)+g]=0;var j=a[f>>2]+1|0,l=573>(j|0);a:do if(l){f=(c+5800|0)>>2;var L=0==(i|0),A=c+5804|0;b:do if(L)for(var n=0,x=j;;){var q=k[c+(x<<2)+2908>>2],v=(q<<2)+e+2|0,t=(p[(((p[v>>1]&65535)<<2)+2>>1)+g]&65535)+1|0,w=(t|0)>(b|0),n=(w&1)+n|0,t=w?b:t;h[v>>1]=t&65535;(q|0)<=(d|0)&&(v=(t<<1)+c+2876|0,h[v>>1]=h[v>>1]+1&65535,a[f]=(p[(q<<2>>1)+g]&65535)*(((q|0)<(m|0)?0:a[o+(q-m<<2)>>2])+t)+a[f]|0);x=x+1|
+0;if(573==(x|0)){var u=n;break b}}else{n=0;for(x=j;;)if(q=k[c+(x<<2)+2908>>2],v=(q<<2)+e+2|0,t=(p[(((p[v>>1]&65535)<<2)+2>>1)+g]&65535)+1|0,w=(t|0)>(b|0),n=(w&1)+n|0,t=w?b:t,h[v>>1]=t&65535,(q|0)<=(d|0)&&(v=(t<<1)+c+2876|0,h[v>>1]=h[v>>1]+1&65535,v=(q|0)<(m|0)?0:a[o+(q-m<<2)>>2],w=p[(q<<2>>1)+g]&65535,a[f]=w*(v+t)+a[f]|0,a[A>>2]=((p[i+(q<<2)+2>>1]&65535)+v)*w+a[A>>2]|0),x=x+1|0,573==(x|0)){u=n;break b}}while(0);if(0!=(u|0)){L=(b<<1)+c+2876|0;for(A=u;;){for(var y=b;;){var x=y-1|0,s=(x<<1)+c+2876|0,
+D=h[s>>1];if(0!=D<<16>>16)break;y=x}h[s>>1]=D-1&65535;y=(y<<1)+c+2876|0;h[y>>1]=h[y>>1]+2&65535;y=h[L>>1]-1&65535;h[L>>1]=y;A=A-2|0;if(0>=(A|0))break}if(0!=(b|0)){q=573;L=b;for(x=y;;){A=L&65535;for(x&=65535;!(0==(x|0));){for(;;){var z=q-1|0,r=k[c+(z<<2)+2908>>2];if((r|0)<=(d|0))break;q=z}q=(r<<2)+e+2|0;n=p[q>>1]&65535;(n|0)!=(L|0)&&(a[f]=(p[(r<<2>>1)+g]&65535)*(L-n)+a[f]|0,h[q>>1]=A);x=x-1|0;q=z}L=L-1|0;if(0==(L|0))break a;x=A=h[c+(L<<1)+2876>>1]}}}}while(0)}function kc(a,e,d){var b,f=a>>>16,a=a&
+65535,g=1==(d|0);do if(g){var i=(y[e]&255)+a|0,i=65520<i>>>0?i-65521|0:i;b=i+f|0;i|=(65520<b>>>0?b+15|0:b)<<16}else if(0==(e|0))i=1;else if(16>d>>>0){i=0==(d|0);a:do if(i)var o=f,m=a;else{var k=f,j=d;b=e;for(var h=a;;){j=j-1|0;h=(y[b]&255)+h|0;k=h+k|0;if(0==(j|0)){o=k;m=h;break a}b=b+1|0}}while(0);i=(o>>>0)%65521<<16|(65520<m>>>0?m-65521|0:m)}else{i=5551<d>>>0;do if(i){k=f;j=d;b=e;for(h=a;;){for(var l=j-5552|0,j=h,n=b,x=k,q=347;;){var v=(y[n]&255)+j|0,k=v+(y[n+1|0]&255)|0,j=k+(y[n+2|0]&255)|0,h=j+
+(y[n+3|0]&255)|0,t=h+(y[n+4|0]&255)|0,w=t+(y[n+5|0]&255)|0,p=w+(y[n+6|0]&255)|0,u=p+(y[n+7|0]&255)|0,s=u+(y[n+8|0]&255)|0,D=s+(y[n+9|0]&255)|0,z=D+(y[n+10|0]&255)|0,r=z+(y[n+11|0]&255)|0,E=r+(y[n+12|0]&255)|0,F=E+(y[n+13|0]&255)|0,C=F+(y[n+14|0]&255)|0,B=C+(y[n+15|0]&255)|0,v=v+x+k+j+h+t+w+p+u+s+D+z+r+E+F+C+B|0,q=q-1|0;if(0==(q|0))break;j=B;n=n+16|0;x=v}n=b+5552|0;x=(B>>>0)%65521;q=(v>>>0)%65521;if(5551>=l>>>0)break;k=q;j=l;b=n;h=x}if(0==(l|0)){var Q=x,X=q;b=17}else if(15<l>>>0){var K=q,Z=l,G=n,M=
+x;b=14}else{var ma=q,Ma=l,N=n,fa=x;b=15}}else K=f,Z=d,G=e,M=a,b=14;while(0);do if(14==b){for(;;){var cb=Z-16|0,db=(y[G]&255)+M|0,ya=db+(y[G+1|0]&255)|0,i=ya+(y[G+2|0]&255)|0;b=i+(y[G+3|0]&255)|0;var k=b+(y[G+4|0]&255)|0,j=k+(y[G+5|0]&255)|0,h=j+(y[G+6|0]&255)|0,t=h+(y[G+7|0]&255)|0,w=t+(y[G+8|0]&255)|0,p=w+(y[G+9|0]&255)|0,u=p+(y[G+10|0]&255)|0,s=u+(y[G+11|0]&255)|0,D=s+(y[G+12|0]&255)|0,z=D+(y[G+13|0]&255)|0,r=z+(y[G+14|0]&255)|0,ta=r+(y[G+15|0]&255)|0,db=db+K+ya+i+b+k+j+h+t+w+p+u+s+D+z+r+ta|0,ya=
+G+16|0;if(15>=cb>>>0)break;K=db;Z=cb;G=ya;M=ta}if(0==(cb|0)){var va=db,oa=ta;b=16}else ma=db,Ma=cb,N=ya,fa=ta,b=15}while(0);a:do if(15==b)for(;;){i=Ma-1|0;k=(y[N]&255)+fa|0;j=k+ma|0;if(0==(i|0)){va=j;oa=k;b=16;break a}ma=j;Ma=i;N=N+1|0;fa=k}while(0);16==b&&(Q=(oa>>>0)%65521,X=(va>>>0)%65521);i=Q|X<<16}while(0);return i}function ff(c,e,d){for(var b,f,c=c^-1;;){if(0==(d|0)){var g=c;f=11;break}if(0==(e&3|0)){f=4;break}c=a[Q+((y[e]&255^c&255)<<2)>>2]^c>>>8;e=e+1|0;d=d-1|0}a:do if(4==f){var i=e,k=31<d>>>
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+p[e+(db<<1)>>1];if(0!=ya<<16>>16){var oa=((ya&65535)<<1)+y|0,wa=p[oa>>1];h[oa>>1]=wa+1&65535;h[g+((wa&65535)<<1)>>1]=db&65535}var xa=db+1|0;if((xa|0)==(d|0))break b;db=xa}while(0);if(0==c){var Ha=0,Na=1<<z,tb=19,Aa=g,Xa=g,Ia=0;u=26}else{if(1==c)var Da=256,Ya=gf+4294966782|0,Sa=sg+4294966782|0;else Da=-1,Ya=tg|0,Sa=ug|0;u=24}if(24==u){var za=1<<z,Ta=1==(c|0);if(Ta&851<za>>>0){D=1;break}var jb=2==(c|0);if(jb&591<za>>>0){D=1;break}Ha=Ta;Na=za;tb=Da;Aa=Ya;Xa=Sa;Ia=jb}var eb=Na-1|0,rc=z&255,Ua=a[m],mc=
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+Sa}var hc=eb>>>3,Pb=Ta+-hc|0,ic=eb&7;a[g>>2]=Ta+(1-hc)|0;a[h>>2]=jb+1|0;a[j>>2]=(Pb>>>0<m>>>0?m-Pb|0:m-Pb|0)+5|0;a[L>>2]=(jb>>>0<n>>>0?n-jb|0:n-jb|0)+257|0;a[t>>2]=(1<<ic)-1&za;a[w>>2]=ic}function Pc(c){var e,d=245>c>>>0;do{if(d){var b=11>c>>>0?16:c+11&-8,f=b>>>3;e=k[j>>2];var g=e>>>(f>>>0);if(0!=(g&3|0)){var c=(g&1^1)+f|0,b=c<<1,d=(b<<2)+j+40|0,f=(b+2<<2)+j+40|0,i=k[f>>2],b=i+8|0,g=k[b>>2];if((d|0)==(g|0))a[j>>2]=e&(1<<c^-1);else{if(g>>>0<k[j+16>>2]>>>0)throw D(),"Reached an unreachable!";a[f>>2]=
+g;a[g+12>>2]=d}e=c<<3;a[i+4>>2]=e|3;e=i+(e|4)|0;a[e>>2]|=1;i=b;e=37;break}if(b>>>0<=k[j+8>>2]>>>0){var h=b;e=29;break}if(0!=(g|0)){var c=2<<f,c=g<<f&(c|-c),d=(c&-c)-1|0,c=d>>>12&16,i=d>>>(c>>>0),d=i>>>5&8,f=i>>>(d>>>0),i=f>>>2&4,g=f>>>(i>>>0),f=g>>>1&2,g=g>>>(f>>>0),m=g>>>1&1,i=(d|c|i|f|m)+(g>>>(m>>>0))|0,c=i<<1,f=(c<<2)+j+40|0,g=(c+2<<2)+j+40|0,d=k[g>>2],c=d+8|0,m=k[c>>2];if((f|0)==(m|0))a[j>>2]=e&(1<<i^-1);else{if(m>>>0<k[j+16>>2]>>>0)throw D(),"Reached an unreachable!";a[g>>2]=m;a[m+12>>2]=f}i<<=
+3;e=i-b|0;a[d+4>>2]=b|3;f=d;d=f+b|0;a[f+(b|4)>>2]=e|1;a[f+i>>2]=e;m=k[j+8>>2];if(0!=(m|0)){b=a[j+20>>2];f=m>>>2&1073741822;i=(f<<2)+j+40|0;g=k[j>>2];m=1<<(m>>>3);if(0==(g&m|0))a[j>>2]=g|m,g=i,f=(f+2<<2)+j+40|0;else if(f=(f+2<<2)+j+40|0,g=k[f>>2],!(g>>>0>=k[j+16>>2]>>>0))throw D(),"Reached an unreachable!";a[f>>2]=b;a[g+12>>2]=b;a[(b+8|0)>>2]=g;a[(b+12|0)>>2]=i}a[j+8>>2]=e;a[j+20>>2]=d;i=c;e=37;break}if(0==(a[j+4>>2]|0)){h=b;e=29;break}e=vg(b);if(0==(e|0)){h=b;e=29;break}i=e}else{if(4294967231<c>>>
+0){h=-1;e=29;break}e=c+11&-8;if(0==(a[j+4>>2]|0)){h=e;e=29;break}b=wg(e);if(0==(b|0)){h=e;e=29;break}i=b}e=37}while(0);29==e&&(b=k[j+8>>2],h>>>0>b>>>0?(e=k[j+12>>2],h>>>0<e>>>0?(e=e-h|0,a[j+12>>2]=e,b=k[j+24>>2],a[j+24>>2]=b+h|0,a[h+(b+4)>>2]=e|1,a[b+4>>2]=h|3,i=b+8|0):i=xg(h)):(c=b-h|0,e=k[j+20>>2],15<c>>>0?(a[j+20>>2]=e+h|0,a[j+8>>2]=c,a[h+(e+4)>>2]=c|1,a[e+b>>2]=c,a[e+4>>2]=h|3):(a[j+8>>2]=0,a[j+20>>2]=0,a[e+4>>2]=b|3,h=b+(e+4)|0,a[h>>2]|=1),i=e+8|0));return i}function vg(c){var e,d,b=a[j+4>>2],
+f=(b&-b)-1|0,b=f>>>12&16,g=f>>>(b>>>0),f=g>>>5&8;d=g>>>(f>>>0);var g=d>>>2&4,i=d>>>(g>>>0);d=i>>>1&2;var i=i>>>(d>>>0),h=i>>>1&1,b=f=k[j+((f|b|g|d|h)+(i>>>(h>>>0))<<2)+304>>2];d=b>>2;f=(a[f+4>>2]&-8)-c|0;a:for(;;)for(g=b;;){i=a[g+16>>2];if(0==(i|0)){if(g=a[g+20>>2],0==(g|0))break a}else g=i;i=(a[g+4>>2]&-8)-c|0;if(i>>>0<f>>>0){b=g;d=b>>2;f=i;continue a}}var i=b,m=k[j+16>>2],h=i>>>0<m>>>0;do if(!h){var l=i+c|0,g=l;if(!(i>>>0>=l>>>0)){var h=k[d+6],l=k[d+3],u=(l|0)==(b|0);do{if(u){e=b+20|0;var p=a[e>>
+2];if(0==(p|0)&&(e=b+16|0,p=a[e>>2],0==(p|0))){p=0;e=p>>2;break}for(;;){var A=p+20|0,n=a[A>>2];if(0==(n|0)&&(A=p+16|0,n=k[A>>2],0==(n|0)))break;e=A;p=n}if(e>>>0<m>>>0)throw D(),"Reached an unreachable!";a[e>>2]=0}else{e=k[d+2];if(e>>>0<m>>>0)throw D(),"Reached an unreachable!";a[e+12>>2]=l;a[l+8>>2]=e;p=l}e=p>>2}while(0);m=0==(h|0);a:do if(!m){l=b+28|0;u=(a[l>>2]<<2)+j+304|0;A=(b|0)==(a[u>>2]|0);do{if(A){a[u>>2]=p;if(0!=(p|0))break;a[j+4>>2]&=1<<a[l>>2]^-1;break a}if(h>>>0<k[j+16>>2]>>>0)throw D(),
+"Reached an unreachable!";n=h+16|0;(a[n>>2]|0)==(b|0)?a[n>>2]=p:a[h+20>>2]=p;if(0==(p|0))break a}while(0);if(p>>>0<k[j+16>>2]>>>0)throw D(),"Reached an unreachable!";a[e+6]=h;l=k[d+4];if(0!=(l|0)){if(l>>>0<k[j+16>>2]>>>0)throw D(),"Reached an unreachable!";a[e+4]=l;a[l+24>>2]=p}l=k[d+5];if(0!=(l|0)){if(l>>>0<k[j+16>>2]>>>0)throw D(),"Reached an unreachable!";a[e+5]=l;a[l+24>>2]=p}}while(0);if(16>f>>>0)c=f+c|0,a[d+1]=c|3,c=c+(i+4)|0,a[c>>2]|=1;else{a[d+1]=c|3;a[c+(i+4)>>2]=f|1;a[i+f+c>>2]=f;m=k[j+
+8>>2];if(0!=(m|0)){c=k[j+20>>2];i=m>>>2&1073741822;d=(i<<2)+j+40|0;h=k[j>>2];m=1<<(m>>>3);if(0==(h&m|0))a[j>>2]=h|m,h=d,i=(i+2<<2)+j+40|0;else if(i=(i+2<<2)+j+40|0,h=k[i>>2],!(h>>>0>=k[j+16>>2]>>>0))throw D(),"Reached an unreachable!";a[i>>2]=c;a[h+12>>2]=c;a[c+8>>2]=h;a[c+12>>2]=d}a[j+8>>2]=f;a[j+20>>2]=g}return b+8|0}}while(0);D();throw"Reached an unreachable!";}function wg(c){var e,d,b,f,g,i=c>>2,h=-c|0,m=c>>>8;if(0==(m|0))var l=0;else if(16777215<c>>>0)l=31;else var p=(m+1048320|0)>>>16&8,u=m<<
+p,A=(u+520192|0)>>>16&4,n=u<<A,x=(n+245760|0)>>>16&2,q=14-(A|p|x)+(n<<x>>>15)|0,l=c>>>((q+7|0)>>>0)&1|q<<1;var v=k[j+(l<<2)+304>>2],t=0==(v|0);a:do if(t)var w=0,y=h,s=0;else{var E=31==(l|0)?0:25-(l>>>1)|0,C=0,z=h,r=v;g=r>>2;for(var J=c<<E,F=0;;){var Q=a[g+1]&-8,B=Q-c|0;if(B>>>0<z>>>0){if((Q|0)==(c|0)){w=r;y=B;s=r;break a}var X=r,Z=B}else X=C,Z=z;var K=k[g+5],fa=k[((J>>>31<<2)+16>>2)+g],G=0==(K|0)|(K|0)==(fa|0)?F:K;if(0==(fa|0)){w=X;y=Z;s=G;break a}C=X;z=Z;r=fa;g=r>>2;J<<=1;F=G}}while(0);if(0==(s|
+0)&0==(w|0)){var M=2<<l,ma=a[j+4>>2]&(M|-M);if(0==(ma|0))var ta=s;else var N=(ma&-ma)-1|0,va=N>>>12&16,cb=N>>>(va>>>0),oa=cb>>>5&8,ya=cb>>>(oa>>>0),wa=ya>>>2&4,xa=ya>>>(wa>>>0),za=xa>>>1&2,Ca=xa>>>(za>>>0),Na=Ca>>>1&1,ta=a[j+((oa|va|wa|za|Na)+(Ca>>>(Na>>>0))<<2)+304>>2]}else ta=s;var Ha=0==(ta|0);a:do if(Ha){var Aa=y,Xa=w;f=Xa>>2}else{var Ia=ta;b=Ia>>2;for(var Da=y,Ya=w;;){var Sa=(a[b+1]&-8)-c|0,La=Sa>>>0<Da>>>0,Ta=La?Sa:Da,jb=La?Ia:Ya,eb=k[b+4];if(0!=(eb|0))Ia=eb;else{var Qa=k[b+5];if(0==(Qa|0)){Aa=
+Ta;Xa=jb;f=Xa>>2;break a}Ia=Qa}b=Ia>>2;Da=Ta;Ya=jb}}while(0);var Ua=0==(Xa|0);a:do if(Ua)var Ra=0;else if(Aa>>>0>=(a[j+8>>2]-c|0)>>>0)Ra=0;else{var Ba=Xa;d=Ba>>2;var Oa=k[j+16>>2],Za=Ba>>>0<Oa>>>0;do if(!Za){var $a=Ba+c|0,kb=$a;if(!(Ba>>>0>=$a>>>0)){var fb=k[f+6],pb=k[f+3],lb=(pb|0)==(Xa|0);do{if(lb){var P=Xa+20|0,aa=a[P>>2];if(0==(aa|0)){var $=Xa+16|0,qa=a[$>>2];if(0==(qa|0)){var H=0;e=H>>2;break}var ba=$,V=qa}else ba=P,V=aa;for(;;){var I=V+20|0,sa=a[I>>2];if(0!=(sa|0))ba=I,V=sa;else{var ub=V+16|
+0,ha=k[ub>>2];if(0==(ha|0))break;ba=ub;V=ha}}if(ba>>>0<Oa>>>0)throw D(),"Reached an unreachable!";a[ba>>2]=0;H=V}else{var ja=k[f+2];if(ja>>>0<Oa>>>0)throw D(),"Reached an unreachable!";a[ja+12>>2]=pb;a[pb+8>>2]=ja;H=pb}e=H>>2}while(0);var ka=0==(fb|0);b:do if(!ka){var W=Xa+28|0,na=(a[W>>2]<<2)+j+304|0,ra=(Xa|0)==(a[na>>2]|0);do{if(ra){a[na>>2]=H;if(0!=(H|0))break;a[j+4>>2]&=1<<a[W>>2]^-1;break b}if(fb>>>0<k[j+16>>2]>>>0)throw D(),"Reached an unreachable!";var pa=fb+16|0;(a[pa>>2]|0)==(Xa|0)?a[pa>>
+2]=H:a[fb+20>>2]=H;if(0==(H|0))break b}while(0);if(H>>>0<k[j+16>>2]>>>0)throw D(),"Reached an unreachable!";a[e+6]=fb;var la=k[f+4];if(0!=(la|0)){if(la>>>0<k[j+16>>2]>>>0)throw D(),"Reached an unreachable!";a[e+4]=la;a[la+24>>2]=H}var ua=k[f+5];if(0!=(ua|0)){if(ua>>>0<k[j+16>>2]>>>0)throw D(),"Reached an unreachable!";a[e+5]=ua;a[ua+24>>2]=H}}while(0);var Va=16>Aa>>>0;b:do if(Va){var Fa=Aa+c|0;a[f+1]=Fa|3;var ab=Fa+(Ba+4)|0;a[ab>>2]|=1}else if(a[f+1]=c|3,a[i+(d+1)]=Aa|1,a[(Aa>>2)+d+i]=Aa,256>Aa>>>
+0){var T=Aa>>>2&1073741822,Y=(T<<2)+j+40|0,U=k[j>>2],ca=1<<(Aa>>>3);if(0==(U&ca|0)){a[j>>2]=U|ca;var ea=Y,S=(T+2<<2)+j+40|0}else{var Ea=(T+2<<2)+j+40|0,gb=k[Ea>>2];if(gb>>>0>=k[j+16>>2]>>>0)ea=gb,S=Ea;else throw D(),"Reached an unreachable!";}a[S>>2]=kb;a[ea+12>>2]=kb;a[i+(d+2)]=ea;a[i+(d+3)]=Y}else{var vb=$a,Wa=Aa>>>8;if(0==(Wa|0))var Ga=0;else if(16777215<Aa>>>0)Ga=31;else var hb=(Wa+1048320|0)>>>16&8,ob=Wa<<hb,sb=(ob+520192|0)>>>16&4,mb=ob<<sb,wb=(mb+245760|0)>>>16&2,qb=14-(sb|hb|wb)+(mb<<wb>>>
+15)|0,Ga=Aa>>>((qb+7|0)>>>0)&1|qb<<1;var yb=(Ga<<2)+j+304|0;a[i+(d+7)]=Ga;var ib=c+(Ba+16)|0;a[i+(d+5)]=0;a[ib>>2]=0;var Pa=a[j+4>>2],Ja=1<<Ga;if(0==(Pa&Ja|0))a[j+4>>2]=Pa|Ja,a[yb>>2]=vb,a[i+(d+6)]=yb,a[i+(d+3)]=vb,a[i+(d+2)]=vb;else for(var Ka=Aa<<(31==(Ga|0)?0:25-(Ga>>>1)|0),rb=a[yb>>2];;){if((a[rb+4>>2]&-8|0)==(Aa|0)){var Ab=rb+8|0,nb=k[Ab>>2],Bb=k[j+16>>2],xb=rb>>>0<Bb>>>0;do if(!xb&&!(nb>>>0<Bb>>>0)){a[nb+12>>2]=vb;a[Ab>>2]=vb;a[i+(d+2)]=nb;a[i+(d+3)]=rb;a[i+(d+6)]=0;break b}while(0);D();throw"Reached an unreachable!";
+}var bb=(Ka>>>31<<2)+rb+16|0,zb=k[bb>>2];if(0==(zb|0)){if(bb>>>0>=k[j+16>>2]>>>0){a[bb>>2]=vb;a[i+(d+6)]=rb;a[i+(d+3)]=vb;a[i+(d+2)]=vb;break b}D();throw"Reached an unreachable!";}Ka<<=1;rb=zb}}while(0);Ra=Xa+8|0;break a}}while(0);D();throw"Reached an unreachable!";}while(0);return Ra}function xg(c){var e,d;0==(a[wa>>2]|0)&&hf();var b=0==(a[j+440>>2]&4|0);do if(b){d=a[j+24>>2];if(0==(d|0))d=5;else if(d=od(d),0==(d|0))d=5;else{var f=a[wa+8>>2],f=c+47-a[j+12>>2]+f&-f;if(2147483647<=f>>>0)d=13;else{var g=
+Ca(f);if((g|0)==(a[d>>2]+a[d+4>>2]|0)){var i=g,h=f;e=g;d=12}else{var m=g,l=f;d=14}}}if(5==d)if(d=Ca(0),-1==(d|0))d=13;else{var f=a[wa+8>>2],f=f+(c+47)&-f,g=d,p=a[wa+4>>2],u=p-1|0,f=0==(u&g|0)?f:f-g+(u+g&-p)|0;2147483647<=f>>>0?d=13:(g=Ca(f),(g|0)==(d|0)?(i=d,h=f,e=g,d=12):(m=g,l=f,d=14))}if(13==d)a[j+440>>2]|=4,d=22;else{if(12==d){if(-1!=(i|0)){var A=h,n=i;d=25;break}m=e;l=h}d=-l|0;if(-1!=(m|0)&2147483647>l>>>0)if(l>>>0>=(c+48|0)>>>0){var x=l;d=20}else f=a[wa+8>>2],f=c+47-l+f&-f,2147483647<=f>>>0?
+(x=l,d=20):-1==(Ca(f)|0)?(Ca(d),d=21):(x=f+l|0,d=20);else x=l,d=20;20==d&&-1!=(m|0)?(A=x,n=m,d=25):(a[j+440>>2]|=4,d=22)}}else d=22;while(0);22==d&&(b=a[wa+8>>2],b=b+(c+47)&-b,2147483647<=b>>>0?d=48:(b=Ca(b),i=Ca(0),-1!=(i|0)&-1!=(b|0)&b>>>0<i>>>0?(i=i-b|0,i>>>0<=(c+40|0)>>>0|-1==(b|0)?d=48:(A=i,n=b,d=25)):d=48));a:do if(25==d){b=a[j+432>>2]+A|0;a[j+432>>2]=b;b>>>0>k[j+436>>2]>>>0&&(a[j+436>>2]=b);b=k[j+24>>2];i=0==(b|0);b:do if(i){h=k[j+16>>2];0==(h|0)|n>>>0<h>>>0&&(a[j+16>>2]=n);a[j+444>>2]=n;a[j+
+448>>2]=A;a[j+456>>2]=0;a[j+36>>2]=a[wa>>2];a[j+32>>2]=-1;for(h=0;!(e=h<<1,m=(e<<2)+j+40|0,a[j+(e+3<<2)+40>>2]=m,a[j+(e+2<<2)+40>>2]=m,h=h+1|0,32==(h|0)););pd(n,A-40|0)}else{m=j+444|0;for(e=m>>2;!(0==(m|0));){h=k[e];m=m+4|0;l=k[m>>2];x=h+l|0;if((n|0)==(x|0)){if(0!=(a[e+3]&8|0))break;e=b;if(!(e>>>0>=h>>>0&e>>>0<x>>>0))break;a[m>>2]=l+A|0;pd(a[j+24>>2],a[j+12>>2]+A|0);break b}m=a[e+2];e=m>>2}n>>>0<k[j+16>>2]>>>0&&(a[j+16>>2]=n);e=n+A|0;for(m=j+444|0;!(0==(m|0));){l=m|0;h=k[l>>2];if((h|0)==(e|0)){if(0!=
+(a[m+12>>2]&8|0))break;a[l>>2]=n;var q=m+4|0;a[q>>2]=a[q>>2]+A|0;q=yg(n,h,c);d=49;break a}m=a[m+8>>2]}zg(n,A)}while(0);b=k[j+12>>2];b>>>0<=c>>>0?d=48:(q=b-c|0,a[j+12>>2]=q,i=b=k[j+24>>2],a[j+24>>2]=i+c|0,a[c+(i+4)>>2]=q|1,a[b+4>>2]=c|3,q=b+8|0,d=49)}while(0);48==d&&(a[Z.ret>>2]=12,q=0);return q}function jf(){var c;0==(a[wa>>2]|0)&&hf();var e=k[j+24>>2],d=0==(e|0);a:do if(!d){var b=k[j+12>>2],f=40<b>>>0;do if(f){var g=k[wa+8>>2],i=(Math.floor(((b-41+g|0)>>>0)/(g>>>0))-1)*g|0,h=od(e);if(0==(a[h+12>>
+2]&8|0)){var m=Ca(0);c=(h+4|0)>>2;if((m|0)==(a[h>>2]+a[c]|0)&&(i=Ca(-(2147483646<i>>>0?-2147483648-g|0:i)|0),g=Ca(0),-1!=(i|0)&g>>>0<m>>>0&&(i=m-g|0,(m|0)!=(g|0)))){a[c]=a[c]-i|0;a[j+432>>2]=a[j+432>>2]-i|0;pd(a[j+24>>2],a[j+12>>2]-i|0);break a}}}while(0);k[j+12>>2]>>>0<=k[j+28>>2]>>>0||(a[j+28>>2]=-1)}while(0)}function Ag(c){var e,d,b,f,g,i,h=c>>2,m,l=0==(c|0);a:do if(!l){var p=c-8|0,u=p,A=k[j+16>>2],n=p>>>0<A>>>0;b:do if(!n){var x=k[c-4>>2],q=x&3;if(1!=(q|0)){var v=x&-8;i=v>>2;var t=c+(v-8)|0,w=
+t,y=0==(x&1|0);c:do if(y){var s=k[p>>2];if(0==(q|0))break a;var E=-8-s|0;g=E>>2;var C=c+E|0,z=C,r=s+v|0;if(C>>>0<A>>>0)break b;if((z|0)==(a[j+20>>2]|0)){f=(c+(v-4)|0)>>2;if(3!=(a[f]&3|0)){var J=z;b=J>>2;var F=r;break}a[j+8>>2]=r;a[f]&=-2;a[g+(h+1)]=r|1;a[t>>2]=r;break a}if(256>s>>>0){var Q=k[g+(h+2)],B=k[g+(h+3)];if((Q|0)==(B|0))a[j>>2]&=1<<(s>>>3)^-1,J=z,b=J>>2,F=r;else{var X=((s>>>2&1073741822)<<2)+j+40|0,Z=(Q|0)!=(X|0)&Q>>>0<A>>>0;do if(!Z&&(B|0)==(X|0)|B>>>0>=A>>>0){a[Q+12>>2]=B;a[B+8>>2]=Q;J=
+z;b=J>>2;F=r;break c}while(0);D();throw"Reached an unreachable!";}}else{var K=C,fa=k[g+(h+6)],G=k[g+(h+3)],M=(G|0)==(K|0);do{if(M){var ma=E+(c+20)|0,ta=a[ma>>2];if(0==(ta|0)){var N=E+(c+16)|0,va=a[N>>2];if(0==(va|0)){var oa=0;d=oa>>2;break}var wa=N,ya=va}else wa=ma,ya=ta,m=20;for(;;){var xa=ya+20|0,za=a[xa>>2];if(0!=(za|0))wa=xa,ya=za;else{var Ca=ya+16|0,Ha=k[Ca>>2];if(0==(Ha|0))break;wa=Ca;ya=Ha}}if(wa>>>0<A>>>0)throw D(),"Reached an unreachable!";a[wa>>2]=0;oa=ya}else{var Na=k[g+(h+2)];if(Na>>>
+0<A>>>0)throw D(),"Reached an unreachable!";a[Na+12>>2]=G;a[G+8>>2]=Na;oa=G}d=oa>>2}while(0);if(0!=(fa|0)){var La=E+(c+28)|0,Aa=(a[La>>2]<<2)+j+304|0,Xa=(K|0)==(a[Aa>>2]|0);do{if(Xa){a[Aa>>2]=oa;if(0!=(oa|0))break;a[j+4>>2]&=1<<a[La>>2]^-1;J=z;b=J>>2;F=r;break c}if(fa>>>0<k[j+16>>2]>>>0)throw D(),"Reached an unreachable!";var Ia=fa+16|0;(a[Ia>>2]|0)==(K|0)?a[Ia>>2]=oa:a[fa+20>>2]=oa;if(0==(oa|0)){J=z;b=J>>2;F=r;break c}}while(0);if(oa>>>0<k[j+16>>2]>>>0)throw D(),"Reached an unreachable!";a[d+6]=
+fa;var Da=k[g+(h+4)];if(0!=(Da|0)){if(Da>>>0<k[j+16>>2]>>>0)throw D(),"Reached an unreachable!";a[d+4]=Da;a[Da+24>>2]=oa}var Ya=k[g+(h+5)];if(0!=(Ya|0)){if(Ya>>>0<k[j+16>>2]>>>0)throw D(),"Reached an unreachable!";a[d+5]=Ya;a[Ya+24>>2]=oa}}J=z;b=J>>2;F=r}}else J=u,b=J>>2,F=v;while(0);var Sa=J;if(!(Sa>>>0>=t>>>0)){var Qa=c+(v-4)|0,Ta=k[Qa>>2];if(0!=(Ta&1|0)){var jb=0==(Ta&2|0);do if(jb){if((w|0)==(a[j+24>>2]|0)){var eb=a[j+12>>2]+F|0;a[j+12>>2]=eb;a[j+24>>2]=J;a[b+1]=eb|1;(J|0)==(a[j+20>>2]|0)&&(a[j+
+20>>2]=0,a[j+8>>2]=0);if(eb>>>0<=k[j+28>>2]>>>0)break a;jf();break a}if((w|0)==(a[j+20>>2]|0)){var Ra=a[j+8>>2]+F|0;a[j+8>>2]=Ra;a[j+20>>2]=J;a[b+1]=Ra|1;a[(Sa+Ra|0)>>2]=Ra;break a}var Ua=(Ta&-8)+F|0,ob=Ta>>>3,Ba=256>Ta>>>0;c:do if(Ba){var Oa=k[h+i],Za=k[((v|4)>>2)+h];if((Oa|0)==(Za|0))a[j>>2]&=1<<ob^-1;else{var $a=((Ta>>>2&1073741822)<<2)+j+40|0;m=(Oa|0)==($a|0)?62:Oa>>>0<k[j+16>>2]>>>0?65:62;do if(62==m&&!((Za|0)!=($a|0)&&Za>>>0<k[j+16>>2]>>>0)){a[Oa+12>>2]=Za;a[Za+8>>2]=Oa;break c}while(0);D();
+throw"Reached an unreachable!";}}else{var kb=t,fb=k[i+(h+4)],pb=k[((v|4)>>2)+h],lb=(pb|0)==(kb|0);do{if(lb){var P=v+(c+12)|0,aa=a[P>>2];if(0==(aa|0)){var $=v+(c+8)|0,qa=a[$>>2];if(0==(qa|0)){var H=0;e=H>>2;break}var ba=$,V=qa}else ba=P,V=aa,m=72;for(;;){var I=V+20|0,sa=a[I>>2];if(0!=(sa|0))ba=I,V=sa;else{var ub=V+16|0,ha=k[ub>>2];if(0==(ha|0))break;ba=ub;V=ha}}if(ba>>>0<k[j+16>>2]>>>0)throw D(),"Reached an unreachable!";a[ba>>2]=0;H=V}else{var ja=k[h+i];if(ja>>>0<k[j+16>>2]>>>0)throw D(),"Reached an unreachable!";
+a[ja+12>>2]=pb;a[pb+8>>2]=ja;H=pb}e=H>>2}while(0);if(0!=(fb|0)){var ka=v+(c+20)|0,W=(a[ka>>2]<<2)+j+304|0,na=(kb|0)==(a[W>>2]|0);do{if(na){a[W>>2]=H;if(0!=(H|0))break;a[j+4>>2]&=1<<a[ka>>2]^-1;break c}if(fb>>>0<k[j+16>>2]>>>0)throw D(),"Reached an unreachable!";var ra=fb+16|0;(a[ra>>2]|0)==(kb|0)?a[ra>>2]=H:a[fb+20>>2]=H;if(0==(H|0))break c}while(0);if(H>>>0<k[j+16>>2]>>>0)throw D(),"Reached an unreachable!";a[e+6]=fb;var pa=k[i+(h+2)];if(0!=(pa|0)){if(pa>>>0<k[j+16>>2]>>>0)throw D(),"Reached an unreachable!";
+a[e+4]=pa;a[pa+24>>2]=H}var la=k[i+(h+3)];if(0!=(la|0)){if(la>>>0<k[j+16>>2]>>>0)throw D(),"Reached an unreachable!";a[e+5]=la;a[la+24>>2]=H}}}while(0);a[b+1]=Ua|1;a[Sa+Ua>>2]=Ua;if((J|0)!=(a[j+20>>2]|0))var ua=Ua;else{a[j+8>>2]=Ua;break a}}else a[Qa>>2]=Ta&-2,a[b+1]=F|1,ua=a[Sa+F>>2]=F;while(0);if(256>ua>>>0){var Va=ua>>>2&1073741822,Fa=(Va<<2)+j+40|0,ab=k[j>>2],T=1<<(ua>>>3);if(0==(ab&T|0)){a[j>>2]=ab|T;var Y=Fa,U=(Va+2<<2)+j+40|0}else{var ca=(Va+2<<2)+j+40|0,ea=k[ca>>2];if(ea>>>0>=k[j+16>>2]>>>
+0)Y=ea,U=ca;else throw D(),"Reached an unreachable!";}a[U>>2]=J;a[Y+12>>2]=J;a[b+2]=Y;a[b+3]=Fa;break a}var S=J,Ea=ua>>>8;if(0==(Ea|0))var gb=0;else if(16777215<ua>>>0)gb=31;else var vb=(Ea+1048320|0)>>>16&8,Wa=Ea<<vb,Ga=(Wa+520192|0)>>>16&4,hb=Wa<<Ga,sb=(hb+245760|0)>>>16&2,Ab=14-(Ga|vb|sb)+(hb<<sb>>>15)|0,gb=ua>>>((Ab+7|0)>>>0)&1|Ab<<1;var mb=(gb<<2)+j+304|0;a[b+7]=gb;a[b+5]=0;a[b+4]=0;var wb=a[j+4>>2],qb=1<<gb,yb=0==(wb&qb|0);c:do if(yb)a[j+4>>2]=wb|qb,a[mb>>2]=S,a[b+6]=mb,a[b+3]=J,a[b+2]=J;else for(var ib=
+ua<<(31==(gb|0)?0:25-(gb>>>1)|0),Pa=a[mb>>2];;){if((a[Pa+4>>2]&-8|0)==(ua|0)){var Ja=Pa+8|0,Ka=k[Ja>>2],rb=k[j+16>>2],Eb=Pa>>>0<rb>>>0;do if(!Eb&&!(Ka>>>0<rb>>>0)){a[Ka+12>>2]=S;a[Ja>>2]=S;a[b+2]=Ka;a[b+3]=Pa;a[b+6]=0;break c}while(0);D();throw"Reached an unreachable!";}var nb=(ib>>>31<<2)+Pa+16|0,Bb=k[nb>>2];if(0==(Bb|0)){if(nb>>>0>=k[j+16>>2]>>>0){a[nb>>2]=S;a[b+6]=Pa;a[b+3]=J;a[b+2]=J;break c}D();throw"Reached an unreachable!";}ib<<=1;Pa=Bb}while(0);var xb=a[j+32>>2]-1|0;a[j+32>>2]=xb;if(0!=(xb|
+0))break a;var bb=a[j+452>>2],zb=0==(bb|0);c:do if(!zb)for(var Cb=bb;;){var Db=a[Cb+8>>2];if(0==(Db|0))break c;Cb=Db}while(0);a[j+32>>2]=-1;break a}}}}while(0);D();throw"Reached an unreachable!";}while(0)}function od(c){var e,d=j+444|0;for(e=d>>2;;){var b=k[e];if(b>>>0<=c>>>0&&(b+a[e+1]|0)>>>0>c>>>0){var f=d;break}e=k[e+2];if(0==(e|0)){f=0;break}d=e;e=d>>2}return f}function pd(c,e){var d=c+8|0,d=0==(d&7|0)?0:-d&7,b=e-d|0;a[j+24>>2]=c+d|0;a[j+12>>2]=b;a[d+(c+4)>>2]=b|1;a[e+(c+4)>>2]=40;a[j+28>>2]=
+a[wa+16>>2]}function hf(){if(0==(a[wa>>2]|0)){var c=Gh(8);if(0==(c-1&c|0))a[wa+8>>2]=c,a[wa+4>>2]=c,a[wa+12>>2]=-1,a[wa+16>>2]=2097152,a[wa+20>>2]=0,a[j+440>>2]=0,c=Math.floor(Date.now()/1E3),a[wa>>2]=c&-16^1431655768;else throw D(),"Reached an unreachable!";}}function yg(c,e,d){var b,f,g,i=e>>2,h=c>>2,m,l=c+8|0,l=0==(l&7|0)?0:-l&7;f=e+8|0;var p=0==(f&7|0)?0:-f&7;g=p>>2;var u=e+p|0,A=l+d|0;f=A>>2;var n=c+A|0,x=u-(c+l)-d|0;a[(l+4>>2)+h]=d|3;d=(u|0)==(a[j+24>>2]|0);a:do if(d){var q=a[j+12>>2]+x|0;a[j+
+12>>2]=q;a[j+24>>2]=n;a[f+(h+1)]=q|1}else if((u|0)==(a[j+20>>2]|0))q=a[j+8>>2]+x|0,a[j+8>>2]=q,a[j+20>>2]=n,a[f+(h+1)]=q|1,a[(c+q+A|0)>>2]=q;else{m=k[g+(i+1)];if(1==(m&3|0)){var q=m&-8,v=m>>>3,t=256>m>>>0;b:do if(t){var w=k[((p|8)>>2)+i],s=k[g+(i+3)];if((w|0)==(s|0))a[j>>2]&=1<<v^-1;else{v=((m>>>2&1073741822)<<2)+j+40|0;m=(w|0)==(v|0)?14:w>>>0<k[j+16>>2]>>>0?17:14;do if(14==m&&!((s|0)!=(v|0)&&s>>>0<k[j+16>>2]>>>0)){a[w+12>>2]=s;a[s+8>>2]=w;break b}while(0);D();throw"Reached an unreachable!";}}else{var w=
+u,s=k[((p|24)>>2)+i],y=k[g+(i+3)],E=(y|0)==(w|0);do{if(E){b=p|16;var C=b+(e+4)|0,z=a[C>>2];if(0==(z|0)){if(b=e+b|0,z=a[b>>2],0==(z|0)){z=0;b=z>>2;break}}else b=C;for(;;){var C=z+20|0,r=a[C>>2];if(0==(r|0)&&(C=z+16|0,r=k[C>>2],0==(r|0)))break;b=C;z=r}if(b>>>0<k[j+16>>2]>>>0)throw D(),"Reached an unreachable!";a[b>>2]=0}else{b=k[((p|8)>>2)+i];if(b>>>0<k[j+16>>2]>>>0)throw D(),"Reached an unreachable!";a[b+12>>2]=y;a[y+8>>2]=b;z=y}b=z>>2}while(0);if(0!=(s|0)){y=p+(e+28)|0;E=(a[y>>2]<<2)+j+304|0;C=(w|
+0)==(a[E>>2]|0);do{if(C){a[E>>2]=z;if(0!=(z|0))break;a[j+4>>2]&=1<<a[y>>2]^-1;break b}if(s>>>0<k[j+16>>2]>>>0)throw D(),"Reached an unreachable!";r=s+16|0;(a[r>>2]|0)==(w|0)?a[r>>2]=z:a[s+20>>2]=z;if(0==(z|0))break b}while(0);if(z>>>0<k[j+16>>2]>>>0)throw D(),"Reached an unreachable!";a[b+6]=s;w=p|16;s=k[(w>>2)+i];if(0!=(s|0)){if(s>>>0<k[j+16>>2]>>>0)throw D(),"Reached an unreachable!";a[b+4]=s;a[s+24>>2]=z}w=k[(w+4>>2)+i];if(0!=(w|0)){if(w>>>0<k[j+16>>2]>>>0)throw D(),"Reached an unreachable!";a[b+
+5]=w;a[w+24>>2]=z}}}while(0);m=e+(q|p)|0;q=q+x|0}else m=u,q=x;m=m+4|0;a[m>>2]&=-2;a[f+(h+1)]=q|1;a[(q>>2)+h+f]=q;if(256>q>>>0){v=q>>>2&1073741822;m=(v<<2)+j+40|0;t=k[j>>2];q=1<<(q>>>3);if(0==(t&q|0))a[j>>2]=t|q,q=m,v=(v+2<<2)+j+40|0;else if(v=(v+2<<2)+j+40|0,q=k[v>>2],!(q>>>0>=k[j+16>>2]>>>0))throw D(),"Reached an unreachable!";a[v>>2]=n;a[q+12>>2]=n;a[f+(h+2)]=q;a[f+(h+3)]=m}else if(m=n,t=q>>>8,0==(t|0)?t=0:16777215<q>>>0?t=31:(v=(t+1048320|0)>>>16&8,w=t<<v,t=(w+520192|0)>>>16&4,w<<=t,s=(w+245760|
+0)>>>16&2,v=14-(t|v|s)+(w<<s>>>15)|0,t=q>>>((v+7|0)>>>0)&1|v<<1),v=(t<<2)+j+304|0,a[f+(h+7)]=t,w=A+(c+16)|0,a[f+(h+5)]=0,a[w>>2]=0,w=a[j+4>>2],s=1<<t,0==(w&s|0))a[j+4>>2]=w|s,a[v>>2]=m,a[f+(h+6)]=v,a[f+(h+3)]=m,a[f+(h+2)]=m;else{t=q<<(31==(t|0)?0:25-(t>>>1)|0);for(v=a[v>>2];;){if((a[v+4>>2]&-8|0)==(q|0)){e=v+8|0;i=k[e>>2];g=k[j+16>>2];p=v>>>0<g>>>0;do if(!p&&!(i>>>0<g>>>0)){a[i+12>>2]=m;a[e>>2]=m;a[f+(h+2)]=i;a[f+(h+3)]=v;a[f+(h+6)]=0;break a}while(0);D();throw"Reached an unreachable!";}w=(t>>>31<<
+2)+v+16|0;s=k[w>>2];if(0==(s|0)){if(w>>>0>=k[j+16>>2]>>>0){a[w>>2]=m;a[f+(h+6)]=v;a[f+(h+3)]=m;a[f+(h+2)]=m;break a}D();throw"Reached an unreachable!";}t<<=1;v=s}}}while(0);return c+(l|8)|0}function zg(c,e){var d,b,f=k[j+24>>2];b=f>>2;var g=od(f),i=a[g>>2];d=a[g+4>>2];var g=i+d|0,h=i+(d-39)|0,i=i+(d-47)+(0==(h&7|0)?0:-h&7)|0,i=i>>>0<(f+16|0)>>>0?f:i,h=i+8|0;d=h>>2;pd(c,e-40|0);a[(i+4|0)>>2]=27;a[d]=a[j+444>>2];a[d+1]=a[j+448>>2];a[d+2]=a[j+452>>2];a[d+3]=a[j+456>>2];a[j+444>>2]=c;a[j+448>>2]=e;a[j+
+456>>2]=0;a[j+452>>2]=h;d=i+28|0;a[d>>2]=7;h=(i+32|0)>>>0<g>>>0;a:do if(h)for(var m=d;;){var l=m+4|0;a[l>>2]=7;if((m+8|0)>>>0>=g>>>0)break a;m=l}while(0);g=(i|0)==(f|0);a:do if(!g)if(d=i-f|0,h=f+d|0,m=d+(f+4)|0,a[m>>2]&=-2,a[b+1]=d|1,a[h>>2]=d,256>d>>>0){m=d>>>2&1073741822;h=(m<<2)+j+40|0;l=k[j>>2];d=1<<(d>>>3);if(0==(l&d|0))a[j>>2]=l|d,d=h,m=(m+2<<2)+j+40|0;else if(m=(m+2<<2)+j+40|0,d=k[m>>2],!(d>>>0>=k[j+16>>2]>>>0))throw D(),"Reached an unreachable!";a[m>>2]=f;a[d+12>>2]=f;a[b+2]=d;a[b+3]=h}else{h=
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+a[b+2]=i;a[b+3]=m;a[b+6]=0;break a}while(0);D();throw"Reached an unreachable!";}p=(l>>>31<<2)+m+16|0;s=k[p>>2];if(0==(s|0)){if(p>>>0>=k[j+16>>2]>>>0){a[p>>2]=h;a[b+6]=m;a[b+3]=f;a[b+2]=f;break a}D();throw"Reached an unreachable!";}l<<=1;m=s}}}while(0)}function Z(c){Z.ret||(Z.ret=E([0],"i32",u));return a[Z.ret>>2]=c}function Hh(a,e,d,b){var f=C.streams[a];if(!f||f.object.isDevice)return Z(Qa),-1;if(f.isRead){if(f.object.isFolder)return Z(yd),-1;if(0>d||0>b)return Z(Jb),-1;for(a=0;f.ungotten.length&&
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+0,0,0,"*",0,0,0,"*",0,0,0,"*",0,0,0,"*",0,0,0,"*",0,0,0,"*",0,0,0,"*",0,0,0,"*",0,0,0,"*",0,0,0,"*",0,0,0,"*",0,0,0,"*",0,0,0,"*",0,0,0,"*",0,0,0,"*",0,0,0,"*",0,0,0,"*",0,0,0,"*",0,0,0,"*",0,0,0,"*",0,0,0,"*",0,0,0,"*",0,0,0,"*",0,0,0,"*",0,0,0,"*",0,0,0,"*",0,0,0,"*",0,0,0,"*",0,0,0,"*",0,0,0,"*",0,0,0,"*",0,0,0,"*",0,0,0,"*",0,0,0,"*",0,0,0,"*",0,0,0,"*",0,0,0,"*",0,0,0,"*",0,0,0,"*",0,0,0,"*",0,0,0,"*",0,0,0,"*",0,0,0,"*",0,0,0,"*",0,0,0,"*",0,0,0,"*",0,0,0,"*",0,0,0,"*",0,0,0,"*",0,0,0,"i32",
+0,0,0,"i32",0,0,0,"i32",0,0,0,"*",0,0,0,"i32",0,0,0,"*",0,0,0,"i32",0,0,0,"*",0,0,0,"i32",0,0,0],u);wa=E(24,"i32",u);a[Sc>>2]=md|0;a[Sc+4>>2]=ae|0;a[Tc>>2]=$d|0;a[Tc+4>>2]=be|0;a[Uc+4>>2]=of|0;va=[0,0,function(a,e,d){return Pc(d*e|0)},0,function(a,e){Ag(e)},0,zf,0,Af,0,se,0];X.FUNCTION_TABLE=va;X.run=qd;var pf=Ab[sb];return function(){var a,e,d;C.init(function(){if(e<a.length){var b=a.charCodeAt(e)&255;e++;return b}return null},function(a){d+=String.fromCharCode(a&255)});return{inflate:function(b){a=
+b;e=0;d="";if(0!=qd(["-d"]))throw Error("Could not inflate string");return d},deflate:function(b){a=b;e=0;d="";if(0!=qd([]))throw Error("Could not deflate string");return d},noConflict:function(){void 0===pf?delete Ab[sb]:Ab[sb]=pf;return this}}}()});

From e735966231fd50fc9c243af2ba4d3557e6d87563 Mon Sep 17 00:00:00 2001
From: jamesrobb <james@jamesrobb.com>
Date: Wed, 19 Feb 2014 23:21:07 +0000
Subject: [PATCH 5/7] tweaks

---
 jspdf.plugin.addimage.js | 39 +++++++++++++++++++--------------------
 1 file changed, 19 insertions(+), 20 deletions(-)

diff --git a/jspdf.plugin.addimage.js b/jspdf.plugin.addimage.js
index 92ac5e3cf..76bdb20dc 100644
--- a/jspdf.plugin.addimage.js
+++ b/jspdf.plugin.addimage.js
@@ -146,8 +146,8 @@
 		
 		return imageIndex;
 	}
-	, noAliasDefined = function(alias) {
-		return typeof alias === 'undefined' || alias === null;
+	, notDefined = function(value) {
+		return typeof value === 'undefined' || value === null;
 	}
 	, generateAliasFromData = function(data) {
 		// TODO: Alias dynamic generation from imageData's checksum/hash
@@ -448,7 +448,7 @@
 		compress = compress || false;
 		format = format.toLowerCase();
 		
-		if(noAliasDefined(alias))
+		if(notDefined(alias))
 			alias = generateAliasFromData(imageData);
 		
 		if(isDOMElement(imageData))
@@ -488,15 +488,10 @@
 		var imageIndex = getImageIndex(images),
 			info = cached_info;
 
-		if(!info) {
-			
-			if(format === 'jpg')
-				format = 'jpeg';
-			
+		if(!info)			
 			info = this['process' + format.toUpperCase()](imageData, imageIndex, alias, compress, dataAsBinaryString);
-		}
 		
-		if( !info )
+		if(!info)
 			throw new Error('An unkwown error occurred whilst processing the image');
 		
 		writeImageToPDF.call(this, x, y, w, h, info, imageIndex, images);
@@ -553,35 +548,39 @@
 	};
 	
 	
-	jsPDFAPI.processJPEG = function(imageData, imageIndex, alias, compress, dataAsBinaryString) {
+	jsPDFAPI.processJPEG = function(data, index, alias, compress, dataAsBinaryString) {
 		'use strict'
 		var colorSpace = this.DEVICE_RGB,
 			filter = this.DCT_DECODE,
 			bpc = 8,
 			dims;
 		
-		if(this.isString(imageData)) {
-			dims = getJpegSize(imageData);
-			return this.createImageInfo(imageData, dims[0], dims[1], colorSpace, bpc, filter, imageIndex, alias);
+		if(this.isString(data)) {
+			dims = getJpegSize(data);
+			return this.createImageInfo(data, dims[0], dims[1], colorSpace, bpc, filter, index, alias);
 		}
 		
-		if(this.isArrayBuffer(imageData))
-			imageData = new Uint8Array(imageData);
+		if(this.isArrayBuffer(data))
+			data = new Uint8Array(data);
 		
-		if(this.isArrayBufferView(imageData)) {
+		if(this.isArrayBufferView(data)) {
 			
 			var img = new JpegImage();
-			img.parse(imageData);
+			img.parse(data);
 			
 			/*
 			 * if we already have a stored binary string rep use that
 			 */
-			imageData = dataAsBinaryString || this.arrayBufferToBinaryString(imageData);
+			data = dataAsBinaryString || this.arrayBufferToBinaryString(data);
 			
-			return this.createImageInfo(imageData, img.width, img.height, colorSpace, bpc, filter, imageIndex, alias);
+			return this.createImageInfo(data, img.width, img.height, colorSpace, bpc, filter, index, alias);
 		}
 		
 		return null;
 	};
+	
+	jsPDFAPI.processJPG = function(data, index, alias, compress, dataAsBinaryString) {
+		return this.processJPEG(data, index, alias, compress, dataAsBinaryString);
+	}
 
 })(jsPDF.API);

From 43722d09685aa5f4300cb68633e32cf57046a5a3 Mon Sep 17 00:00:00 2001
From: jamesrobb <james@jamesrobb.com>
Date: Thu, 27 Feb 2014 23:30:25 +0000
Subject: [PATCH 6/7] all 8 bit colour types now supported

8 bit colour types supported and 16 bit for type 1, 2, 4 and 6
Recompression added using Deflator - now recompresses images and masks
Colour type 3 key masks and smack support added for multi pixel alpha
example updated
---
 examples/images.html                       | 204 +++++-----
 examples/images/RGBA_16bpc.png             | Bin 0 -> 76032 bytes
 examples/images/RGB_16bpc.png              | Bin 0 -> 61159 bytes
 examples/images/grayscale_16bpc.png        | Bin 0 -> 22830 bytes
 examples/images/grayscale_8bpc.png         | Bin 0 -> 13698 bytes
 examples/images/grayscale_alpha_16_bpc.png | Bin 0 -> 37853 bytes
 examples/images/grayscale_alpha_8bpc.png   | Bin 0 -> 22902 bytes
 examples/images/png8_flat.png              | Bin 0 -> 14038 bytes
 examples/images/tiny_png_indexed.png       | Bin 0 -> 11014 bytes
 jspdf.plugin.addimage.js                   |  96 +++--
 jspdf.plugin.png_support.js                | 419 ++++++++++++++++++---
 libs/png_support/png.js                    |  14 +-
 libs/png_support/zpipe.min.js              | 408 --------------------
 13 files changed, 552 insertions(+), 589 deletions(-)
 create mode 100644 examples/images/RGBA_16bpc.png
 create mode 100644 examples/images/RGB_16bpc.png
 create mode 100644 examples/images/grayscale_16bpc.png
 create mode 100644 examples/images/grayscale_8bpc.png
 create mode 100644 examples/images/grayscale_alpha_16_bpc.png
 create mode 100644 examples/images/grayscale_alpha_8bpc.png
 create mode 100644 examples/images/png8_flat.png
 create mode 100644 examples/images/tiny_png_indexed.png
 delete mode 100644 libs/png_support/zpipe.min.js

diff --git a/examples/images.html b/examples/images.html
index 65e54fee4..ae14d49ed 100644
--- a/examples/images.html
+++ b/examples/images.html
@@ -7,125 +7,155 @@
     <meta charset="utf-8">
     <meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1">
     <meta name="description" content="">
-
-	<script type="text/javascript" src="js/jquery/jquery-1.7.1.min.js"></script>
-	<script type="text/javascript" src="../libs/FileSaver.js/FileSaver.js"></script>
-	<script type="text/javascript" src="../libs/Blob.js/Blob.js"></script>
-
-	<script src='../libs/png_support/zlib.js' type='text/javascript'></script>
+    
+    <script src='js/jquery/jquery-1.7.1.min.js' type='text/javascript'></script>
+	<script src='../libs/Blob.js/Blob.js' type='text/javascript'></script>
+	<script src='../libs/FileSaver.js/FileSaver.js' type='text/javascript'></script>
+    
+    <script src='../libs/png_support/zlib.js' type='text/javascript'></script>
 	<script src='../libs/png_support/png.js' type='text/javascript'></script>
 	<script src='../libs/png_support/jpg.js' type='text/javascript'></script>
-	<script src='../libs/png_support/zpipe.min.js' type='text/javascript'></script>
-
+	
+	<script src='../libs/Deflate/adler32cs.js' type='text/javascript'></script>
+	<script src='../libs/Deflate/deflate.js' type='text/javascript'></script>
+	
 	<script src='../jspdf.js' type='text/javascript'></script>
     <script src='../jspdf.plugin.addimage.js' type='text/javascript'></script>
     <script src='../jspdf.plugin.png_support.js' type='text/javascript'></script>
+    
+    <style>
+		body {
+			background-image:url("images/grid.png");
+		}
+		div {
+			min-width: 300px;
+			float: left;
+			clear: left;
+		}
+		.img-wrap {
+			margin-bottom:20px;
+			float: left;
+		}
+		input[type=button] {
+			margin-bottom: 5px;
+			float: left;
+			clear: left;
+		}
+	</style>
    	
   </head>
   
-  <body style="background-color:#000000">
+  <body>
   
 	<script type="text/javascript">
 	
-		function createFromBase64Jpeg() {
-			
-			var jpgData = 'data:image/jpeg;base64,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';
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4u+XGeNYDFQNx/ph2wbdhFToprYhBQNg2oQjX0KS4dxm75fnIMNZ/PKfid5NUVXW5PBC1VOcsEs7kdsn8HbH8Zcf3V81lX63hHJm7Op9OOSyu3/F7LO9r5Rc0E+2sZPWoBUNc1Hqa/fJR6lKz28uHyktnISA1xDT+KwrkrIZRH3pW1+SMrbWxvHNhaayykBtfElRf5unqQv58L1Lq7P3+W4JyCHHZRjo7K9oYz+3XqFO8bZPXs8ZdmbLxFs9W1Rn2kbYMe2RjXsNWuAIPsK3lHR08nJD0IAgCAIAgCAIAgBFRQ9EBov3wsrrt/3NflmRVsr07g4irdTUdV1XjqlyGh4xeJxMGb8JEGzWZwj8pY8ht4ozMSPWiA+E19iyONq3Z69lE8prszybjlM7+TO4/dPs+QW8TGfGPqIG0AKj9K/Zsrnr2p+UezKpKKeUeTnXF+NcmwrcjjYWwvaB6sYpTp1CieN5G+q/wl3TLk4JopnI4g4wbGikbdGj2Ld5v6nz/Exu3QxZKsnp78VLDHITJSvhVZevOMX1KWjfDtH3k7bYftWYMjdxW9/aQvbLbOA3vdtoKfiud8rx1tm23FZTZlwmlE0T5fk4c7yfJZK0bsgup3uiA/lJ0W88bKdDikY0+pH5MZcxXMbXOPpu1ounaj+pJdTCl0NwfsvZMOUXjWD+yxnxH/tWhf8AYdUIUx+JlajeTetcGJQIAgNT/uc406PJsywBEMoBLqaVOh/Vavy1eHk0znKkn5GukWPaIztk3+xatXnzNMqz9Q6ZbiSzYya2eY543Va5vUFTtMsvJslE8vJ5MtnsxmdoyN0+cMFGhxWc5t9yTdjl3Zk+BctuuFcggzduzeY9HMPiFVCzweT2u3wlkkvcrufddwruMmL0YairQKaq7fsOzoXtjbdqwSrjPKv8Zxw2MUgYyNnStNaKA23lYXc1nek2vFd2VzyDJNvZ3XJLd9akg6rBrhbH06EbVXdD06HPF5RhEb2P2zRkFp9oWLZFxlkwrYyjPJbt13OtsngbC3u4QMrZObsnA1IFPFST3lKCz+ZEu+RU64qS+aJtZwTJuy3GLG6eav2BpPuC3nUs86kzpGjb9SlMkiyzOCAIAgCAIAgCAIAgKX+47t6zmPD5b63jrkLAb2kDUtGv6LbfbXIfp9hRf5ZFi6GUaCGGWGR0EoIfGS1zT4EaFd3hjuiLPUILi7hMEbz8IqG1WDuVwjHyS6lSPVjby7bbutHSENGjmrRL9aEbPLHUyoyeDozWNF7YvLR/cYKhXqp46HjK2e0seWu6g0KvHh53OcHaaFYc2/IqO5pcdKkk+CkKKpWdEilvBzmsrmOA3LdHD5Qtl4/j4+eX1ZZnM8uKN9c3ZMwJA6V6LaNeyumzEiw02j9B/tF4f/gOM3XJ8mG24uvkklIYNvnU08FxT35ycb9j6cX0iSenVJ9llsuDOd7O2+Cm+kkzLL6/rtbZ45rryYu8gIgRX8VyWe7TDpnL+zqblq+2OQ2F5Ktxj8Z/Kv3kT5D39yeMx8mRxvA8tNasaXie+2WTC0a1o7c79Fae5LGVCWDPr9t0+ahZtVKT6YjmX9xXTPvFyksBuI+KRUFasFy97qD3MCj/APlpOWFFfibf/wDntUKfqTul09FFf2ke5j9xmJ7jYJ+LyPHn2lw2u2aOYO218w5oP6qzu7TshiUf3mt7X/XkORrcaL/mXpODX9WSlWzMa4lho09KrWHFo5Ry3/WXOcenP6StivWt+X/p/N+4tLHdm5r/AIk7kVy+nqNL42g6dKrZ9DScoeTITjeNl4OU+j+BS99bG0u5bY6+m4t/JJxw8Hk4+MsHnVJbOBumxGo1IVSjkrjDJ9flbpzDGx5a09QCvFSs5Z4teOcs64YZZDve4/mrF2wo9EY9+1GPSJkIo3xjezoPFR/R9ZIiuj6yR7bK5v57mC1gO98sjWhvjqViOlSl0MF0RlJYP0V7ZWE2P4bjobgUlMYc4H2gLoGpDwrSOo6NfhSkS9ZZnBAEAQBAEAQBAEAQHXcQR3MElvM0OilaWPaehDhQqqMnFpr0BoT3x7YycR5fNcxRkYu9cXxvA0qSu6cDy/6jV/zRIy2vEit34bK2Ebb1sLvpifhk8CFOS2K9iPhFry+Baw11PNa2k8k0k5Y4MP7qfDX3qJ5HUVcF16lcJGQiAPwP9xWtqXXqXyteVYx2OyTyB/al+Jh96yoSyUskvZfgtv3A51Y4O8NLVxDpB5ivRYvIynVruyKKoYbwXx9xvZDjfAsHY5fCxthlcfTcwU1IpqqvZvKynZKFvVHmxDplGtUVheX7vRiZu09wC37d9zcTxcG7bEn8F1l+CJHjPb2/yUsUVtr4vpH8WZ3E8bFk5k08jXPaQ7Y0DbUedeq4bzP/AGVK2UlqV4T/AJp9/wAEde4r/rOEcS27PL/LDt+JJ83yXkeSggsrq/vJcfCNkVrDK5sTB0oIm0b+i5Nsb121Jyslls6Pr8LqaGPo1qP2rv8AvJx28wfeDihk5Pw7CSb5oi2O6yFqwN2dfgM9KH2hV61V8X5QiQ3Ob3FXV/S2Lk0n2Umn+3x/iRLn3dTn+dvJ7DmGQllktztmtYnsZCH/AMm2MAFLrb7X4SZ5x3H8VowWzVFYaypPr+GepFeJ33+QztribrI22Hxd7LS5yF5u9G3aQSXHYCfDp5+S9/RPK6j/AOzQ8ZP6bljtHPcvDJ4b7eePY015dccnzJbUsxw2Rl1PCjSB+L1kvV1oRzKTkQUOd5rYt8KKIUJ+sln9/wDcUlfTW8l1M+1D4LFziYGSne4M8A4ilSoyUUnlLob1RdZKKhOalNL5sdFn7iRcW7uct4tjbnjZvDeYC4BpbyHf6Lj+6I9QPNvRS1V7VeIHIvc3A2W+bjiNvdP0kR+7e+5mfdE7mynfv8DVYsZuXfufPrU1JxmsSTw19p4nzsaSPBXlAuKDZ0NidKdzBUeaq7dyr8vczVhxrIXEZuBC70wK1IPRWbI2TXyroWLYXWL5V0OpzfTeY6atNCohxcX1IKUJQfU+mR+3Y3QLyU8lMrPIuzsJ2rvuS5yDNX8LmYy2cHtLho4jxUnoarsl5PsTHGaTtmpPsjeKGGO3iZBENscbQ1oHkFt6WDfEsLBzXp6EAQBAEAQBAEAQBAEBDe4/BLLneBlx87B9WxpNtIfB3kpviOSlpXKX8r7luyHkjT7JxZDictzxfkcBFszc2J7x5dCCt9s052Wx2tR5T7oxVJJeMjFYDLYwQz4eeFjrZ5IZIR8Qr0V33BpbcZxvhlr1R5VKOMHLCjBtku8bdwh7XuIjm8RXoovlaNimML4p+PqVwaeUV93I40be2kkYfUbCdzHf0rZtaFVusro9/UsvKeCJcI5Xf8SzVpnMJII7+Bw2gmm6vgVtudK/Rl9XEYRWZZ+woqqsnbGEFmUnhftLi5lz/Pd0LnHQ8yvja4+J7Gzegz1BG0kbnBum4gL5X3/ceLJV6eaqm/zfzNfH7PuR9E8V7Fp1qfq7C+rdjPj/AC5+H97JgP8A858WxXp4m0yPJMwW/FcXQdAwup5VaAPwKg53aveXlZL7TIhpe4LZYi69aH2Yb/j/AAKhyV0+/vp57O1jx9o9xMUDSXhjfAAnqsCc6s5S/YbRq6vIfTULLO383q/wJJwvjXcW5vrbOcSxM1zJYyCWK8NuJYA9viTKPTKu0xk35Qg2/wBxgclfVXW6trYjCLWGvL5n+HUyfc7u33btZBg+W5Wa2nkj3fSwNiiBZ0/4B/ErKtnsvpY/E1/S1+FivLUrV0o+ssvr/q/sKJLslkp3NsbGW5leS5z3mlSepSvEV0Ra3J2Xy+d9F6eiPZbYK9jeTl3w2jR/xRn1pT+DTQfiVkKb9SMdEV2MjCLGxJfY2wdP0E8/xu/Boo0Khxi3loy4X2wh4xk8C3vLq5kmdcv3ta5tG0AABHkArM4pzw/gSevbKvXVkej8up3vtoHxva1jRv1DgKEHzWDFuE+htN0Y7Ov8y9M/cxjppCw42TUfNC72HqFd2k44kj5h998Y63Hbr7PpP7/R/wADvmxzGODZ9K+KphtYOcV7mO7ObZWW9zDHCzc1hDiPOit27GGWbtrDzkm2R55czY5mNt7UQNDdpcABX8lclyM5R8UXpcrZKPjEhzIpriYRxsL5pDo1oqSSo6TlJkTJyk+pfPaX7fsjyGaHLchjMOPBDhE4Ur71L6fHOfWXYndDipWPyn2NwcHgsdx6wjx+NhbFBGANBStFtVdagsI3WqqNccIySuF0IAgCAIAgCAIAgCAIAgCAhnPO22A55ZuiyEQbdgER3AHxV9qnOL5i7RnmD6fAtTrUjWrOfbryXBTSSY9v1dtuJYW6nb7wunVe7KdmKUn4sw3Q0QXJcD5TiLgPfjpqOOpaC6hWxV8jq7NfjKSwWXCUWYHlVlyGTEy2YxlxPcSja0NjJKxJLXqg1XJIq6t9Snr7gefxE0TM5C7HPuGerEx/+4WB1K08NQuOe6+UlGH0Iyz5fm+5HSvZvGK62V8u0Oi+9kixVxfwj0Z5/qmgUYXtDX1Hm4dVyxURl17HZ5crdQ1FryX2nXJmchcXcdhHavhlldsa5pDwSOvxaUVn6SXck3vysaUVjJ0ZPK5PATshkY2SWUbmOkfuaADSpaBUqpQizGs2NmttJLr6tlhXP3E96cnjI8HDn7fG2EbBEz/HWUEDtgFBQ7dNPKim4224xnH7DlVnG6bscnFzbfdybyRmzxEMplzfJr6fIXEh3TXFy8ySSOPgKmp/NWXDLy+pLU2uqPjBKK+xHTe5eWVptrBjbHHjQRQ6PcP63DUq4sIsS8pPq+hjKrwqPsrJIWB8jHNBFWlwIB91V7gtuaw8Fldke2T+4ucvxNuGKsI45LkM0c98hIayvgDQkq5VrfUnl9kYu/zT0tV1wWZWPpn0Xqyf92ey9hxXjsudxURt/oyz1o6ktcx7gyupOoJTe1IRh5x6NHntT3Fs27K1rn5xknj4ppZ/AoNg9CZlw3UxuDwP4j8QoeyxTj4/E2PnPbi3NO+n/FF+H390Su/xV48sfdWsjGOAdG7aaEEVBBUSteaXU+Lf0lkMqXRo8cGNd6uxsLnvPQhpJVnDyY2HkmGC7X8p5RcxR2tm+OFxFZHgjRSevrzk+iJjU1bJv5UbK9t/t6w/HTHkc00XF8KHa4VoVsmtx6j1l3Nt0+KjD5p9y8YYIreJsMDBHEwUa1ooAFMJYJ9JLsdi9PQgCAIAgCAIAgCAIAgCAIAgCAIDqltbabSaFkn/AFNB/iq4zlHs2MHm/wALiN2/6GDcPH02/wCird9j/mf4nmEaOfdw17e6sUYaG28eMthC0ABoBc8mgHtWsci27OvwOyezor9G3/mf8Ci4nuieHs6hRqbRuk64zXU4zOkoZWOLZWne1w0IcNVXW/m6mNuwbpfi8SXVfejCZI3l7kRe3chmDgKEgAN29G0CylrqM+nYg5czK7Xak/n7fs+J77BwEgJWQyFizLz3E17JHDGC8CjIYmgkknTQDqSqTIyksszV/wBv+X43HnKXuLljtGt3vOhcxvm5oNQrromllojq+U1pz8Iy6kx+3zg9hzrnv0WRa2W2sLZ976DtWyPa5rGgjxALqq5rQUp9TF5rYnVR8vRyeDYvu32sxA4NmZ7mBjI7O0luIpaAem+Fhc0g+GoopK2KcXk0nRtnC6Pi+7Ne/t37u2Xa3PXYzVvJPgsvEyO5fAA6WGWEkseGkjcKOIIUXXeqst9jfNviZ8gowg0prtns/sJ3357+4TneHZxfiFvMMfJI2W/v7hnpOkEZq2NjKk0rqSVibu8rI+MexP8Atr2tZpXfXva8ksRS64z6tmuxKhjpJvh2YxXGed9rcBf39lHLeQQmxuXj5jJauMdT7S0NK2vXrhbUm0fMfuTjK6d+2GOjeV+3qTe37X8NtpBKzHtLhqK0/wBFejp1L0NYjoUr0JPZ42wx7Ayzt2QtH8oAP5rJjCMeyMyFcY9kepVlwIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIDTT7zMM6Hk/Hs41v9u7s5LZ7v64JNwH5PUDyUfmTOseyrs02V/B5/H/wayQMfI4taNx60UXg31TSTbZ3wtYZYxKKx7m7x/TXVIYysnmx5fTl498PBIeeYHHxMhyGMtWWkDwIp4YiTHup8L2hxNK+Oq2O6tJZRxbjd2dknCfdECtw4Sen+7osJmzxeexc3284rFZTuhhoMu5ogrL9OH02uuRE4xjX29PaqqGvqLJa5aE/0c3H0x+Hqbpcy4zg8dx7I5LIGOPHWtvLJcvfQNEbWmvXz6KYk0l1Ob0xlKaUe+T8/uF84zPb/k8HKONvbHdwF7RFKN0ckEnzRyAUqCFCQm4vKOo7GtG+vwn2LB7m/cnzHuRgzxx9pb4fEzbTfR2rnvkn2moa57+jK67QNfFXrNiU1gjtPiKtefnlyfpn0KXa4Rua4ftIKxJLKaNgos+nOMl6MyZ6/wAFCnTU01lHFxoNUDZuB9nOd+o49yDjsjvis7qO8hb/AEXDNjv/ACjWx8XPMHH4M4v771vHYrt/xRx+H/k2aUyc1CAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgKE+7Pjbsz24hy0Td0+FvGTVA19KYGN/6lqjt+HlXn4G5+0tr6W54vtNYNGoXiB/qeXVQFb+Y61ux/wBp49OpzYyWeN902J3og0e8AlrSegJ6L2yOJM8071ZVHL6tdjK33IvqcJ/iLiIuuBs2TV02sNRX26UUtTsOdWH3RzzkuIjrbv1IP5ZLOPtfcihZsu2P8Hg/mAqZF+h9TI2+SuMc9strK6Gdrg+KaMlr2ObqHNI1BCs+OXkkXaoxcX2ZIeQ91e4PMLCLD8g5DeX+Khofp5HgMcW9C/aBvI/qqr0pyaw2RtOrTCflXFJkVqFaJE4lzfMLwYPjvlK9PH2PbBOZIY3nUM/tye/w/RYf015SRsi3Z/Qrmn+XoztlG5hp71hJfNg2eyadXn9mS/ftFyrrPuNc44upHksdK2ngXwPZIP03KY49eFrj8Uc294TWxoQtXeM8fijd9bCceCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgI9zrBt5Jw7N4Rzdzry0lZGP/ALA0ln/kArVsfKDRm6N/0diE/g0fmJNC+KaWGRu2RjnMe3ycDQhaj2Z9GLEo/eTLhc4djL7Eud/bmNZYurXNcKaj2EKb0XGyEoM5d7ojbq7FWxX0wsL716ftIdlLU2t06B3WJ7oyfcdFh0rwnKJsXJ2LY1qr1/Mv60eC5jIhE/hE4E+7of4rKkQVS6pmMub9jv8AbFSPFYbuwTf6Rz7niOQuNQwUCtO5svw1oxPOby5c6m418lR5svKtHyU3rHhziQ2i9UngTpal2PTY3U5c71H/ANljauJV6qTbMPYgox6dyyO1PAcp3NyUkeKmMOMtmh9/cbd1WkkNaAf3EgrMjrOyXwwRF/MLSplFryc+y+34k07m9ppO3+IbmhLJNYte2GcSAbmmTRpqANK6LF3NL6S84vPUnPbfub9fN610VF+Pytdnj0Z6PtbmE/eTEMtZA8Mgu3yBtSAz0HA/qQrulPztTXwZg+5qHr6M4t9HOOD9BlsBx8IAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAID88+9nB5uN908rjLdnp2eRmF5ZuI+AR3R3Hp4NdULWNilq7xXqd14bkVPjldL/ANtfN/pITdWeQ4zkvTErDK0bo5ojujew+VafiCrbU9ef2mTXZq8vrdvKD9PVP+DMVkJH3Tn3U7qyOeS+mnUH/RVUzcrMv1LPI68KdJQj+WDSRibWYMfcY68cBHM0+jIelfCvvWS5Ylhmu1xUodDDXkEcELXMdqRqFgSjhtG1LDqjJeqPNHPG1mvVWmmIzSQZFcw7L6W2kFo4/DM5jhGfc6lFc8Xgx4Xw88ZWfgWZ2f4OzuxzeHAvq3HWsDry+2aOdHGWtDAfDc5wWXqUqyWH2I7n+VevT5Q/M+iLz7t/bpxyw4LlL3FWLbC7xls+7hlhq3cYGlxa/wDmqBTVTc6IRj0WDnWjymxK+KnJyUnj8fgRz7R+c8Y7eDI4rmNw21jzHpyxXjm7ooZIt3wSFtdocHaHoo2jerjNxfRfE3Xmva+3dRG6teUl3j64/p6El+53u5w/l+Gt+EcFvIcnJcTsmyl9Ef7MccWrWNJA3Eu1NOlFb5DchKPjHqX/AGj7c2Kb/r3rwwsRT79fVnr+znhUceZzPK2x/wDq4+AY63mI+e5nIklIP9LQ0fiquKreHNlH/YG3Wp168P5esjcNTxyQIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIChPud4LJmeP2nM8bEXZLAn/2dvzOtHmp6ddjtfzUVyFbwrF3ib/7Q3YKyepZ+S5Y/wBX95qtnJLW+sLe6aGvk3AUPzCupGnuWNuzjbVGcX1Jr2zrXcfv2a9sX4v19O/R/tRFRbullmMrNjAD8I6AEUGqjtaXzG583U/pNY6Z/Aw93YGQbT87Pkd5jyUpZHyRz2mbqeH2I1fQSNlLHEgN/asG2PZk/q3ZTj8P4k17JcLsecdzsFxzJ0dYzySSzRHpILeN0uz3OLdVXrVqdiT7GLy2zKnVnKPf+03x5R2lwsuAurK5tYv8d6D2yM2gMawNOvsoFsc4pxafY5RRZYrYyi35Z/eaY9neSZDs5zUcriYy+sCyS0vbMHa6S1kcDVrjoHAta4VWrU7qrn0XQ73yXtj9VqNSl8/dfYy8u633HWXNuMy8d41jprS3v2ht9dXez1DF1MbGsLh8XiSeiytrkoyi4xRA8F7KupvV10l8vVY/rNS7yxusdd/Vse10W+pbQ0aHeY8lCp5R02dbrl3ySXtvw7Oc45HJiuNWv1eRupBGJWhxgt4a/FNI4/Kwe3U9AsmnWldJJdvUh9/maONqnbN5m/yo/Snt9wjGdvOJ4/i2L+KO0ZuuLgijp7h/xSSu9rnfpotvrrUIqK9D5y3dyzbulbN9ZMk6uGEEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEB1XNtBeW8tpdRtltp2OjlieKtcx4oQR7QvGk1hlcJyhJSi8NGgHdngknCOWXdnjTvw00jn2rnV/ttJ/2z7R4exabsQjXY4n0B7f5xchUk2lbFfMn/AFogn+OuSHP+olZDK4erspQ0HQV6Kyng2eVak2m+/c42+Gt3h0ckrg9wLmvc74m+Q8jRZ0L+nfqars8V/udIx8WQTkUbbG7lFxJVjGB75GjXb7vOiy4f7kMs1zajHU2cR/LhHdxbP3+AzFhn+JzOgylnK2a1vDSSQOHmCNoBGhbTorHk4PPbBscNWnZrcUvKM1/T7jYvk33Gdw+X8bOBvW2mOjuWenfzWTHskmaRq2r3O2g+IarF/I2WLx7IyuK9maWnarnmcl1Sl2X9PtKjla2SN0f8woFFrobzPEk0cMRa3l9J9BbRPmuQ6jYoxV2qWzjBeTaSIizkKNWD+tNQx+Jevbj7bn8suIrnl179FZDV1naEPuXgftc81az8KlZnGqrZl3yjm3M+9448dWPX/HL+C/tNs+G8E4nwDFtw/E8ZDjrQayGMVlld/NJIaucfeVucIRgsJHJtnbt2J+dknJkiVZihAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQGqfeuNreVPguWB8MrnAtdqCCtD52mTn5R7okNPYnRNTg3GS9UVPe4WCBj22pJikH+27Wh9hUTp705LxsX7TpGj7waf/yFn/NH+wjF3ZvhfSVha46Bx6fn0UvXNPpk3dcxpbC8q7F93Z/gV/yWzM17K57K1GwjqC0CinqsKKRonISdt0pv9n3GAx2FzlldCTBsfRx+KMsc9v5UoVatjW18zKNXkrNN5hJR/p8CwsRh+VXrWNvYbe3P75pnFg/+ALiofY2NapdMv7kZq94WQeW/N/uJ/jeJYHHut7nKXL8o06zRRD0IAfLQl5/MKDp5JTsx4YX29WRe97y3rlitqtfYuv4lgjAWdhDHmMVaR2lg8NIjibtA9p8/xWHy1LnHzNLlfO2XlNuT+L6l0dopvVcXA1FSs/2i35tMxry4F1MwggCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgKU7vcQOSyDMiG/A0BznfoVqXNRknn0L9ZQOYb6M7oLYbiw0JWq1yc7MRRffYwN1aXoj9eRlY/EhTktVxWWi35GOLW9S0E+dFQkkVeT+J68dbMurlsD37AfFX6YxlLDKGySX+Bx9tYvc+ZvrD5aaFSWxq0qGUUKTI3bXr2Q/Sv1jroVqd+rFfNEvqRZ+Ayr8xh4sA0ahhAPuWDVY706mVNY6ls9oLSaxu5rWX9laVU/7d1vpWtFq15Rcq6AYoQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQGB5fjnZHCXMcQrKGHb7lGclr/AFaX8SuDwzU52Pfi8rcuv21AcaNPvXK4b0tWzGOxnePkjx5HIx3TXW0bA2AnqQAtm/5n9RXj1LP08MwRxEE8gjgcC4qxRcrJ+J61hHpfxKWOA3G7Y5niHKV3Nd01+SZbi8sxz4pns2SSueB4E1WnT5Cx+pkeCOsWrGipCx5bE36lWDJ4PMvw18y4YdW109hXkHKuamh3NmOzk02ThlykzSNw0PvXQOCg3mbMS0tlbaWAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgPhAcCCKg6EICie7HCJGTuyVmwmF2pDVzL3FxbhL6kEZlU/Qom+sLl5dDb13VIp4rU9WMpS8V3MiRxssJkraP6nc5r2a/EFsc+Pv115llTT6Hy6y95Mz0pHew0FFG2bltixJ9CtRSPNaUfM1s5ox3iq6HT5LyPHkkclvjLa0fucXvI+AaELaL69OVXy9yynLI4hwLKcsyEbG27o7QPqZCDqKqG1eOsuml6FyU0kbd8W49bcbxMOPgAq1o3keJXTNbXVMFFGHJ5Zm1lFIQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAee8s7e+gdb3LA+NwpQq1bVGyPjJdD1PBVXIO0MUl069xdA467RotM2vb+J+dXcyI2+jIXmO3XJjG6G3jLQdDoViXa+9KPg+xUnEjsHZrk87vibSvjtKjI8Feyv6qJBYdgspLQ3UjgPHo1SNXtub/Myh3Im+C7G4awcyS8Pqub4E7v4qc1uBrr7lt2tlmYvC47DwiGxgbGBpUDVbFVRCtYiiy3kyCvngQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEB//Z',
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',
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',
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',
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',
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',
+			//colortype_3_indexed_single_colour_alpha_4_bit_png: 'data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQBAMAAADt3eJSAAAAG1BMVEX/////AAD/pQD//wAA/wAAgAAAgIAAAP+BAIC08EFzAAAAAXRSTlMAQObYZgAAAJtJREFUCB0BkABv/wAREQAAAAAAAAAiIhEQAAAAAAAzMyIhEAAAAABERDMyIQAAAABVVUQzIhAAAABmZlVEMyEAAAB3d2ZVQzIQAACIh3dlVDIhAAAACId2VUMhAAAAAAiHZUMyEAAAAACHdlQyEAAAAAAIdlQyEAAAAAAId2VDIQAAAAAAh2VDIQAAAAAAh2VDIQAAAAAAh2VDIWfgFTHZzlYNAAAAAElFTkSuQmCC',
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+			colortype_2_rgb_8_bit_png: 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',
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',
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'
 		}
 		
-		function createFromJpegImg() {
-			
-			var img = document.getElementById('jpg');
-			
-			createPDFObject(img, 'jpg <img>', 'jpg');
-		}
-	
-		function createFromBase6432BitPng() {
-			
-			var png32bit = 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';
-			
-			createPDFObject(png32bit, '32 bit base64 png', 'png');
+		var btns = {
+			base64: {label:'Generate pdf from base64', compress:'none'},
+			img: {label:'Generate pdf from <img> and recompress', compress:'slow'},
+			compress_fast: { label: 'Generate pdf from base64 and fast recompress image', compress:'fast'},
+			compress_med: { label: 'Generate pdf from base64 and medium recompress image', compress:'medium'},
+			compress_slow: { label: 'Generate pdf from base64 and slow recompress image', compress:'slow'}
 		}
 		
-		function createFromBase6432BitPngCompressed() {
-			
-			var png32bit = 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ddEBOaCiUJBJAWRdMzFEXN5kPNsWhT/FnL+Rz9y53Hy5yaoLlewpcXqanWeIr1CQl+QIF8Sks8HCi9Fihci4jB4IALhOHMBAefH5/Hq1qv49Pan8er6q7hYXMTEJqBMaHOLJjdotEH2DEMvqmut1Ta1KWtOZpbc3UBAay1rUoICwQIoE6aLI+zO9rC33MNBPkAOGSgBGvQggwBy9mBqlSWtXL0kIufInVQh1/M0LycxV3+8Qvv32lMO5kcna0EAcBHAJwF8CX1L5VUAFwAaAP4sVuN9HEc/VyRikNCCoGjb3hjKrFWgScCyA7pEJOZOK7m/rQABx2Sur8AGwFyBkpgTERm5p9XQY3Z34RA6xBiZeSRAKY+zFUeMhs1Nw3gMhAAsFoyjI8FicTxxRxAZlgBdIuJPEMX7RLzDHPeJ4tz9f4em+Us/Mudy8O8M0D3oEDZDQYEuceCXwfgUE39GWF4JHq5FxPXgoRDrD5WLH+d7GMQBrq5dxY3NG3j1zKu4UlyBLhX7eR91XeNR/QgP+SGYGRkZTu5Zs6WUutSk1t07KcVlLIEyFVpocbu9HagjTnWiK+MrqFON+7P7OFweokkNUpkQEBARIS5w7QljIlQkfE4KBwUyrkQBz2AyKcPbANIRpqcA8yMCLgWAawA+C+DHAHwOwMcAnFtlNXQMIO7vJ059VRYZRBL6G74BS3OiyDVzc18m93kCFglQIwroW8/+zDLmJD2UiKIYeYyViwjMEnJuYaZwJweOMvM45DxW5gETBXIHRiPDlSsZ164pzp8HRBg7O8Dt24SbNxmzGZ2ApMhgAOA6wJ8kontE8V7T3P5OVV1PTfOjcS7Hf2aMuB0BRkWRrnHBrxLRZ4jo0wx+RSCXAsIkemQxARw9b4IMo77zs1Ft4NzoHK6uX8Wl9UvYDttY+AJ1WWNQDFCEAiICCJA5e+6y5i53aZmatEiNd96GMnhIIXDihBJ5KtP43vw9aaet3BveYyKiw3xIe90eLXwBFUVIARmZggaIS5/RRCYpZECBzrO5wZDgaMm5kyRTmtH95//+8/7uH333FGB+yMGlAvDiClR+HMDnV5+vfdB762eAHMwK5gwggzmfAIxIBzNFSoIukeXcJbNFAqYdkJToOIOwFcjoSdZxDDJEjBAqFMWYYpyAqHR3Qc66EtMRAHOzeVadZ+Z5UJ0EkTGFAFy65Pj4x4HXXmNcukQQETx8yBiPGTkT3nqrH0s4fkfM1SZgLwG45Y47RXFmV2T86EfhXK79j9cw/T9MsfGXN8Zc8FUu+BMk9HkAnwXhJQJdIKMBe09TmfelTeaMxAlKfeeokAKTYoK1ag2TaoKBDNDFDhIFCICJ9d+D5CmnnJrU5UWu8zw3eZ4ba60zMbi6cOKMATICYuedLGUpD8NDCRw4eaKGG2qkIW0VUgqVVcnFoOAoUaQQggAchZi48uQXvEWmFg0aamQpi5BCHswGj177v7+Gb/4PvnkKMD9c4PLN1c1N5SpT+SKAn1iBzAsAxt9V/6y6MESOEPpsRaSfggbSahix16uoCrquQNuIpa5LWRed+VHnvlSg82PLhVVXiEOIxCzccydmZuYxVl5V6xTCmIACKZmllN3Mnvqd3JOpzlVkoapzZR7QeMz03HOMT36S8OlPB5w92w9VXr3aA9h06tjbMzx69CTxy8JcXXT3jwF+k4jeU13snznzD/Pu7n/jhxdc/oM16EJp/X+yvsYlv0CRPkVMnwXjs0T0IoHOwFE4HArt9SriUFKo6FP6FjXtdS0rjQtT34LOyJhjjrnNMc9zbZom5zp3aZ4anec6L7S11hIMpqbgORsc5p1njy5GFlq0MqOZMDHBnZ2dlA2IAFfMNrYIR0CFCEKQIESRerbMMUCLi+RoyHhBCTNqqelit3DzxSnJ+0MHLliBC70K4Cs9mYsvAHgevUfuMy0omB0xZsTYIsYazEsw1yDqQcbdYRaRUomui9Z2mlNadGZ7Hfwgu8/crIZ7R0TGMcYwHI6K0Wi9GA7Xi6IYSVEMqKrWMBxu83C4FUIYsirQdclUnyVRsdVQZMnMlYRQypUrkT7xCcFnPlPhxo0h1tZGqKoKw2GBtmXs7xt2dw2Hh8CTeEXERf/eaQbQIRE9Gg5fWrh/Hm379374ukX//SGa2w2Vl8q1MAkvcsmf4cA/RkKfZ+aXiOksgLjSKMLJeyUuPwYX58cgW6LAmfIststtjGQEGDBdTnF7ehtvH73tbx29ZXfmd9Lh7LBpZk2d57nRhbbWWYI9Ud86IEFWshpXS5a002SdZU2aNWu25NmSJe88efLk5k6RSAbCPGTmATOBgA6ghogaCtRyQZmIwAmCJQrMMcDs7B8/q7t/96Or9A0/euCCEsDLPd9CPwn4FwFcWZVLeDa4GEJICKFFCA16T5YOqgYzgTuv+JYCqsHcPQ8HbdpY73IIhpwhs5nRdJo9Z6eyHISqGhVlOQ5FMWKRktyRzdSJAoUwYCBw03Rm1qWnM5en+Rr3WlWnWXU9Ey1kMilpe7uiM2cG2NgYoij6kQNVw5kzS6yttRgOFcz2/tNHROEikb3M7G8DeHex+NZBWV7strb+Hvb3f3gsN9f+whqmvzLF+k+sj8IwvCSFfIqFf4yJP09Ezzn5pruLu58Ai8FOJEH+ZPMOABlhsVzi3u49vM1vAy2wUW5g3sxx6+CWv3H4Rr49vZ0Ojw6belq3aZ4aq7Wz5Bn+NHnm5vDsxKEfIwDBLVvuU1cQDLT6FvJ+lwQRyGxirK0GywZPDnICtQRqCLSEoKU1crpGRDMEHPrAj2xis3wpP3jxX77ob33prVOA+SGI2HMs/iUi+z1E/nkAl9ypcucP/CYiA3M/yezeDx+aBajSEwOHESLs4zHZ9rbZ+fMVtrbWArOFg4PO3nuv1vv3ky8WzEUxKQaDSSyKiYQwIJFCAYa7M5GIO0vXJajWXc7ZrJ+MfAYZTHA3V52vtDJjZZ5IVQUaDCpUVbFS/wLMjKoSFEWGSI0QHDkPVvqdVS/FuSKS583kJaB4h3l0qyguPJzNfumHp1v0Zwe4+G9dBE1oGMrwggT5RAjhx4Tls0JynZzWzUy019WeaFxOKl16X47qPcDklPHg6AFKKrG/3MeoHKHuant49DDf3rvd3t+/386OZk0371pttHNdzQm8H/rd4eYcKBAEUFJXVVVTgOAg+HFWRSC4OShTLnKhg1T5MI1cOkHyBOusl1UlBmUKBNqG4HkS2vPoe175ATW0IKXpjV+/gbc/9fYpwPxOxPnzb6EojtB15Tlm+xSRflkkf5ZIL7nTwEygWuDZINNzF30SwVAtVqDiq6HDAEBQFMEvXIh+40bwGzeILlzowmhUUdMw3n13qYvFLB8dZTeLoarWi7KciEjlzGVmDi0RZzMnVeecFW3baNc1mnP6DaWbfXer0ZynuesmYblstWmcUhLqW+H938sZWC4VdV2j62YIgRAjAxisrCEAVUCVt1T5RYC/w1y807ZvHxTFxe6H5VyWF0vc/Wd3OZbxskT5RJT4WSH5dEB4LlhYJ6egpAADxgYieowD9MxTC4fDyHDYHiIdJDxYPPDAwbrUpels2h4cHrTz6bxp521rjSU3tw8+H0RRYixCIRTJM7KqqVtnBgKI6em7xoGCC98O234mnvFxGDsHxlSnONADJEswNggLASgo0FkEvAjGHoH2wdjTic7peALzFGB+sLG+fgtVdYic40QkvyqSPy+SPiPSXQJsZCaUUgki+wCAoVUZVKBX8NpqoLBXy7oDVcV+/Xrpn/nMyD/1qZKvX2deW+uoaQh37079vfdgKRlUiZgjEYkBbEQhi0gHUEopoesSp6SUc7K6rlPT1En7ttEzspcnsxg1s2lOaS0fHs7k4cNGHj1yunoVWFvr2+tHR4579xLu3l1iPp+BOaAsI4iKlTVEb3bVdRgAuOquN5jxtlm4vVj8swdnz/6/sLPzR35ny9y/egVbr29h59WdsyjwcqDwycDh0wJ5LljYFJPg7lB5zFedZC+PufqnX7TiZ8TQUYeu6/ygOVBNuevq1KZFarpF1+ZFbq2z/Kys5akboo+iCEUMZfBMOVMgIqaUcnInd2JyYur/bXeEGLBVbOH64DrOjc6BhoR77T1wwdjLe+i8AzlBSBiEMRiXielFctoho10w9gHsfBSzmB96gNnaug135xDCVWZ9jVk/KZKeE2kn7k45l+g9aj/YXrjnWAjHU8t9a7l/iZhdvMj2yU8W+MpXxvTqqxUPhwnz+dLv3p3a668/7L7xjYfp1q2pLhbCRHBVJIAthJiZRdu2s+VyibpuJKVsqtlTSppz/k3ABU9xMSlN887OUXjzzalevLhGg0GkS5cYKQHvvpvx1a/WuHWrw2LRQkQh0oE5nQBMr/g1cvdzZvYCkV1nDu8MBl/cd9ff0Szm0l+4hBd+/wu4w3cmpZQ3ALzKzK8JyfNissXK0c2RJSNTfspW4UmuhZRAuT/Xzj2wgNHrYdxdVVOuc5fr3OZlbnSprS618+T5w/yezMxBJAQJZVkUKEJMwQLFIkrbtZZysqQpObuRUD+6EcjLUPqlwSV/cfIiikmBjXYDgQLMDTt5BzkpSAmcWCjSJgzXeztO7MCxC2AOoH753Zfx5vNvngLMDyJeuPE3QHQA9zQWGdwQ8Y8x+/MiaYMosWqEanlC1P7G8XjTaz/oaFDtFJilqop25ozxZBKlaZZ+//6Rv/vuA/32t++mr3/9Tnr77X09OiKYjRDjQEUqi7HSGKPlbF7XNabTKZqmsX5o0WHm/mHA5Vis566mOsvT6TS/9da+lOVYjo6ELl4s0baOW7dqvPlmi/v3GV1XgChDJIM5rVrsDBFffU0HRHat76zRVebyvap6bmdz82/h4OBP/46cSxoSvv33vi1rF9YuSJSXjezjxHQDii01jZny49ZzUCjZSfZCoH4KOgm4Y1CmnvgN/d8xGDSpaqsp17nVhbZaa6urFrRn/1BT5gRaBRMTiXAQKQSBI6JFiV30pmmMO+ZOuw4EhQAZ2VtrjYltI27YxclF3xptkZNjkZZYdksc5SPkVhEUxIlLBJz3zp9HxAMIHoDwEMBtnX60BuJ/qAHm0d47mB/epstXP3+Bq8nzDHmRiM4AHnIWpBSQcwmziN/KgoT+SVdr1+12zI+6w0O1mzfXxH3EMTo9enSkt27t6q1bh/boUevL5Yhy3hDmAWIMuSzLPBgMjUjQNDUWiwWWyyWOu0XuH/o3eeozs6V23VF+8GASzPbt0SOmzc2Kug549Cjh8NBhVkJkhBhbMPPqZ9gxYbzyn8kE+AUiv0HE14nk3eXyrYMY1/PvxHkc/wdjxPMR3bIb5zJfD0V4gYhedPOz6jowMjomcz04PK5KI+3BRUwgSSCtgFrqJfnS613U1bJlzV1OWmurS210qa3V1lln/dCR49kcznedDXc3M3c7/sCBRWIVvZRSilx4iAG0IKaOkCx1BtPs2XaaHbuzuOPX2+t2BVdwZXgFda5xuDzCdDnFgpdI6EAGeHKGYOTiV5T0uqndc/h9bfURCbWnAPMDiqwLFMP1clnvXgG6a0WsLnmshkQDqA6R8wiq1QpgvrtD82xwyZ7zNKf0sGvbu63qvXTrVuttW9G3v12yOzCbJUyniq4rWPVMSGkzMG9wVXEajZKPRtFjLLFcfje4/GYg8vTl/P4Mq89imuYoP3w4kum0ZBGjPiMiuDOYBygKX/nJEJhllQUdO+cdG1xhCPB1IjxPFN4m4jvMg92zZ/8+dnb+6A+29Xc2Yn+2L9V6dVULfZ6EbpDQRVObgCCBAiquUHEJF6CjFgtbouEGpISQw0n24p1DTZEte2edpTblnHOnjTZar4Clsc6z61P6lg99zammlHNKOYeu45iDlQgqReBYxSAi7O7k1hsZurmbmh3UB/r20dt6bv+cba1v+QvFC7RdbOPa8Cruz+7hER6iRg0YwB0DjOhkW2Z+zVq76/B72uk9n/vtC3/3gj/44w9OAeb7GVL9j6CJ4dBJvWwvuC4vdREbRYxRJAAoV67+4eTmwlOPKlmVQ/xEhtBazoc5pQdt297uUrqfct7X3d2Mo6NIRVF5jCPpX1tiNg5tuxaADSmKQquqTYMBrCiiqyqapvcHSY91++8DjQ8LLk9mMY2qTnNK40A01BhLZg5PENYBKY3AHCFiK35JV52yDPdevOdOBMh5wJ8nkqtE4VzT3DxgHvzAc3AKhFCEISLOa9QrCLhGQlviUoyKETZ8A9u8jQlNkDVjP+1jJ+/gKB2h1RaWDJK4N3zSjM66Xv+WuqRZ29zl1hprrbHOW09PZS2/xTAz67quE2EGuRKTSxlSHBYci1iycFDVmHO2rFlNTVVVm67Re7N7+vr+6zYej42EOEiAmqKgAjFEeDBkd3BmoAM5fOjqlzz4c2DcIaV7IBxQptlHJYP5oVXyVtV/E8XGHrTeuOIWP23Kn9XM13MOA9ViZZINmCW4N3BvQNSCqEO/ntWeymTMGlPdT113r0vpTme2o0SNxxilLCehqrZiVZ0phsOzRVWdK7tuq1gsNgr3jVAUYy5Ly4NB3Q6HlkIQNE2Lw8MjzOcLPFul+9u8wqHu7gQUTFQwc8HMJRHRE++HVjuVeLWZoB9fMMtIiZASIWeGOwXAO3ffIeKHROHBYHA1hfAHUNd/5wdyHod/foj51+ZUXi4v85Bfo0ifRoFXEHFhUkzCpeElvDh6ER+bfAxXiitYw1pvr9C1aLoGbdsidxmWHCkla7XVTruuy12T2tR46zW33FJDHSXK9FTb6QNouN8MZNTU3NzUjAi5qMo8GA20GlUeQhA3Dykl5JQtp6xqqs5OGjSmkELiJJ13ssgLuj+/j0f1IxylIyxt2ZeB7jA1uDmbWXDzDoYZgWZEtBteCkfjnxpj9nd/9HHmhzaDiWEDvphIVYQ1VT2jahs580DVYJoQYru6uXrbhOPtiGaAGcO9gFkEUQQAN1uY2YG7HyHGJFU14hDWKISCRUqOcSAxDtlsKNNpwUdHRECkGCOIzES6HEJSEfKcM5bLGstl/QHZi/8mlf5v9hRdquphVh1KzpUwR2Ku6PgOcQdUeyDpV9RmAAk582r9CR8PZAoRLhP5c+52HeBb8/m33xYZ+w/sPK5HhNdC4ILPENF5J79gbBsiEs8Mz+DG8AZeG7yG63IdUgsO6ADSCGY2w0F7gMPmEG1ujTKZJcs5pZQ0d6bWFV7kIQ/z+nAdg/EgatYwb+Z6VB/prJvl30Du8hsffzfv2q7LKWeH03hjAgFjWA7dxTmn7PM4NwI5DOTZ4eyaupQPlgf5ncN3tKHGN4oNUlMctAfour5V7bzimdyPt9kM4bjm6ncRcAvAFX1DdwAsT0uk72MwjQCiglk2hHVdWUcAB+YCMZYIQVY+t4wQCCE4ZEX89U9xXW1a7KDaec4zEM1JBCHGSSjLQEVRUFGUHGPFQMHLZcDBAdN83mckIrSavs5G1CpRUrOArstYLpdo2/YDSqMPR+o++//RKlGfpZwPhagUosAxQpgjju3vjwGmNxCn1df6JXBmx4lpBkATIlxj5kvudo6ovgOEH4iRw9pfXAMJAREDEtoEcJacNslpNJYxzg/O4/n15/GxycdwkS4ix4zQBuyHfYxshNhGs6Vp3dUZiuzqnaomGFJJZb4wuoCr61fl4uhiHMlI6rr2B0cP8t2ju51PHdNumr/rEH/ILGbV8ta2bpG6BCah4WCIOIiUU7ZpOSUmzqZmlgxE5NZYbps27y/3teXWxnHMYoKkCa21vV3ESkCIALg6CEQgbIFwnZxugnAFhDsg3Lr0ty/5vf/OvVOA+X5EETcAUOnI4xBoxCQlc2CRAiFEiPQudESCEDJi7BBjB8DRtgFdF9G2jJQaS6lVYGmqHYAi9KOukc0idZ3QcsmYzxWLhSHn/iYXERxvAwA6BRoFkqVkqOsWTdP09ou/BVL3g4HIn3GB16p6mIkK6S0yAxMNqc/IemDJmWEm6P1per1P37LvP++tJbwA+CKQrhKVF0VG46q63mxs/C0cHn5/W9bNgwbd3+iw+R9trlFBGyBsARjDUEx4gu1iG5dGl3B+fB5b2MIsz1CVFcpYokChSEh5mVPXdp2rJzgSDEkgeXNtk14+/3Lx2oXXqitrV8rCi3B4dOijMOpMDXVX6zIvNVv+DaH/eBHbCclr+Smhr5nBzRFC8PForOONcWdqNp/O6ag8cgKZqTklgjWWrbXcdV1GB02eQtCAoAHC/c4lAiFz39w6OfWMQEwXQLgKwh0Ad1famB/5aesfSoDZ3v5/IsYJVFMMoapi5IFILEIoSaQCcziRxxMxRBRl2aAoGoSQ0bYF6rpcgUz0rqu16zi3rXvOKjkHSUlhBuk6Rdf1MvtjwOrl+4Z+vkjdvbWew0lw78ndtu2e0LB8ON7lw4LLMRdjNsuqpYgMxKxi9yL0amRFb/tJUJXVaSQce/n2fA3jWPMD8Ja7XSYqLzAPtx4+/Jt7w+Gr3/cyKawH+J92JqExBGvENAFhSKAQOKAKFQaxN4MquUQdapAQFGqqmnOXu1Snxhtv3bwjUAJBi7LA9bPXq9euvlZ+7urnBhfHFytrTfarfZCSzOu57S/38369n2c2y8/OkBlrgzXZHm6HSTkROGjRLmx/uZ+n7TQnS74qaEEglEWJ0WjkZ8+cVWb22WzGB4cHmM6naOoGnh3WmGqj2VrLVlq2YNHJmYgQPMDNAVm14FfiwCcS100QrgO4CeASgLsA3rv0ty/Zj3IW80MJMCFuYn09YD7nMBhwURQSYiyiSAn3AqqP9R89GAjMitXnhBgj3Cv0upWKUmq96xqtqjrl3HnbIratxJxDSEmiGfNjvvu4zcsr315eAUxrOWd3Z7Rtd5K9fFje5UN3XAhg7gV4qrWqHmXVkZiNBRgxUclEdLKm9vjqPLbRfN9ttPqZPAT0grtfMMPFqvrEXaD6/j8dCSAhRkBJTGMIBmBUIHDShKwZTW7QaouEBHPDQhc46o7soDlI83re5ibXXnsNgiLAKRDOb54PL158sfjY5Y8VL116qVgr1kI9r8k6w8ZoI6wN1mQUR1JIQUjPBpdza+fCS+dfKq9uXi3Xi/XYdR0eHT3Ktw9vd3eP7ra7zW63Gnw8zmAwHAyxubnpoQw+XU7paH7Ei3qBZtl4s2zUOjNdaKdDLbTSrKWqBGGFQlxwnCk5VlPiTwJM78x4Gb074y0A5wE8AFBf+plLuPcn750CzPcqNtYLTCYFgITBQKgsCSGQMxtSUrQtQfX4Kd2nmjkHdF2xmi8KcOfVzVpyjBuBaJlCqN3sKFVVSl1nsa491rVr04TYdRTcQX3m4qtZJYVZXnE4rXedwoyQUrfKcD48uPxm2UsIROvrBa+tBS5LUF13fnhY23xeZ7OZmK2J2YRDGNBxV6lfSfv+1SbPzJyCO2+Z0Tmg2i6KiyXz2g8EYLhigaCCoASjgCA6O+ZpjoeLh7hb3cEEEyxlicV8gXdm7+C9+Xt2f3E/T9tp17VtC0OmSKBAkEKwvb4t5zbOyfnN82FrbYtHYUSeHWVZoigKRIknXTcCPT1+5MBkOOFXL79afua5zwyf336+GvIwLudLulPeSeREXepskRa6zEsFASyMEAKqskJVVEEKwdlLZ+PB8iBMmynquqacc5u7bNqoaq3ZhpYtWdaogYVJXcHMEAgCBTAxKqrg6HdhN9ags24NwHMA3gNwG8BdNr7jvwXp5inAfBiClwkhRAyHbGXpXhSGEHS1SqR/cnddWGUy/VXT3/gl3Hv/lH4Vq6wc+EcishaAWoFGiZocArqy9FxVnhcLlMslira1mLOv3OloJfnPbta5ausp2WpRva60Jr99cFlJ0kFECIHo8uWBvPDCJF65MgyDAdPBQa3vvTfNN2/OdGdnlnM+5BDGbDZkkVJ63oXQd8iPt7cbiHhVuh3rYVb7UMHrzLLNXGyZ1eMQJvsvvPAzeOedP/l9O4+WDJZMkNA7vjECGOKhB5g7szuovMKiXmJTNlEva9ya3vK3l2/bw+6hLm2pRq4kBIoEjgwOjBACVWVFZVGiLEsqpEAIASzsBrPWWm200U47d3t6WJKZ8fy554tPXPtE+bkbnxs8t/ncgDLJ0eERRY9hXs9tf7GfHy0epWVeKoHAxBAWhBAQOIiz03B9GNbPrVcbiw1eLBbcNq3PD+atd2661E5HWuhAs5iYBpXs/V5sJgaBMJYx1oo1DMMQgQMWusCD5kE1TdPLbn7NyW+R0x2H78JRnwLM9zBef/1fw1e+8lUURcwh5MRsqV9YpmAGqqq/MVMKaFtBXdvKPKpv0/biOsFjzUhk5kl0X6p7nc2yEpmLuMaoVhSuMZrO52RNgyJnZnciMwOzQTV5zh2I+n9D9f2G3x++LOpLuFJiLCWEgkMgOncu0Mc/Pg6f+tRGeO65SRgOA+3t1fqNbzzqiLibz/fTfL6fRIYi0puDMw+43z7pq02WPdnbf95/7VhczMxg5oqZ15ltzazeXC7/9l3Vre+r6I4L7sXF5oQMIiEQEyEDqU14kO4jNxl7iz2shzV0XYedxY4/6B7YEY6s49YQ+yyECwYVBGJCp521ufWma7xuayvKws0NdartqDlKh/VhmjbT3KZW37duCpvjTXnxwovx5csvly9deqk4Oz4bmmVDyMBsPJP14XoYF2MZhAFzz8q6xL5j2S8EdlMoUyQp1opytDWS8faYlvOlpzZ5M29aXWrSWpMNLGmlmSLxcUolJCAQCi5woVotdYtDzHWO8XKMd2fvbh02h8+Z2zsALhDo1ng+rq/9zWu49d+9dQow36voOyGU3NGaeUdk6m4oyw4bG72NQQjAdBrw8CFhf5/Rtr6yoCSMRkBV9VdXXQvqeiTuk+C+DO7L3HeFCMzwwcCTSGciMGbyupYiJRZ3o359rK44l7ziZX6z7MWfSewSEYqiCoPBWqyqSYyx5PGY6KWXCvrMZ9bkc5/bDFeurHFRBJrPOynLEouF2sOHS53NprnrdhNzyYCwCGAmnHOv/ekXsMnjzof3JG+/68kRI4UQaMJMY7Nq3LYbkbn4vgKMJ4dlcyQoteTikklJHY7UJsx8hppq7M53e6UrDE3TYOm1N1K7RnOKcKIeXDgyTA270127t3cv3Vq7lYYylM1qE/PZHDf3bnbv7r1b3zq41RwsD3LK6bvMGdYGa3xm7Yxc3Loo57bOyVqxRmSEqqr68ipEsPAJnSUiEBGYG7quw6Je5JbbssmNWLAQxqEoN0qujiqv6srV1HOXc17mFEYhSSfJSw8aVI69hdkZBsMgDHBldAXnRufQeotBMSCFRjjOHbVHV9T0EoALi9Fi3+Hdi7/8It764lunAPO9iJwD3Cm5Yw74FLAps1qMidfWEi5e7DCZlJjPS4xGEWXZO++3rWM0yrh82XHmTD+rc3QU8eBB4MPDUajrcQCWUcR8PBYaDAKZAbNZayJ1S+ROFLyuqUipCP2UMhPgyDmdtIN/OyESuKrGYTjcWPn4lnL2rOCFFyp6+eU1un59gzY3R8TMWF83rmsPN29O5fz5Pb59+0ibZrcjKshdKASDWUVmoN5yRk7mknoAFDCXKAqBCFAUJCHYkAijnKWKcSIhDFBV/xGa5q9+3zgYCDISEtfciknizNnhsGzoTLG0JeY8B0UGhR6bLThZaUQlEXX9zc6RQYEABw4Xh/rGnTe6wgqeTqe2Xq1388UcN+/f7N6892Z77/BeN62n2dW/i/cuQ0lVUVFVVFQWJRVFgRh72YORWfKknXXWaGPm5oUUYGGo9WZfh0eHaKThmc9Co01QUZGhULFReNmWSJ7gM2+sNdVasw40SSUFB5Z+gqEHmYUt0FiDIhQ4PzyPQRygKiokT5wtr2fLl6ft9IK7n3X1Nf+Xvls39WkG870DGIY7ZSAcAjR19xlgnWqqiBoUxRyTiWAyGaAsxwAGUI3Y2WGMRh22tlpcuaIYDARHR4MVAVjKw4ej0HVj3dw0XLpEfPbsgIkYjx7V+f59zyHMElEHZqBtK4QwpKKoqOuEU3Lq29aED1Zs+Qe2pWMspSyHYTAYx+FwLYoIr60FnD07wrlzG9je3sBwWK7azI4zZzra2BjSaFRQCHCzhea8l5gjmxEBIzILYub02A+HVuDSd9H6kYICzEqAle4o3YcF0UYIYRPAG99XDibVyUlpyYmX4tJKlBYMc3VWy0iK1eoR7VXZzEQRTAUxVySeSJBhFPryCAw0TePvPng3W2vtg70HOipG0jSNPzx4mO/v3887053cpc5PTscTp6ppG1s2S1t2S2tTa+M4hsPRaWezdpYOmoN00BykJjcKALGIkCBQVSwWC3hwbmITZjyThS64TS1pUOERl2EjIGp0hVJuctJOVRvN2mqSUgIJ8XFpPc9zPGgf4EHzAFf1Ks6OzuK6XMc0TemwPRzOmtn5uqvPd9pdgGJLX9V9yj96rnc/tABjRtjaatPhYbkLYM+92HXHsq61mk5r7O3VCKHDZBIwHi9x9uwGlss1dF2BGDOY5whhifV1x3A4BtEa3CtKqQpHRyOdTDKfP5/52rUQy7LA1pakqtKOqEvu046oQVkmxOgREGYeRWYgZ9Wc3fyZzmgfBC4OZqEQComxDDEWQtTvow6BUFUFhsMBhsMBYpQnMp4CIsUThlnmZtOUUqAQhJhBRCMiEjFLJ8OORCWIilXZVIGogruRKot7CClp7DrlEMZw//75UFk2+KGbXbKFBZuCMWXlhZAoAFYoMvfGUk4GBoOIiAMHjhytsIiBRmvNiEmJ6WSWZ+9oT+ezub1bvJuEhNgZi3phdVN71g8Q1zmwN9uze/v38ns776WN0UY7X5ujWTZ0e/92vrl/s3nv4L3m0fxRWqalEROKsoDD0XYtptMpWrSSBikuwiIu8oKXyyW61EFFhYZUccckJmywxr2fuLbWsnaawyAUx2CnrnhQP8A7s3dwZnAGa+UaRnGE7WIb56pz8UF8sB0oXGzRngWwjYDb4B89sveHFmCICAcHEQAWqrQDyK57MZ3Psbm3l0ikhvsCXTfDcFhjOFSsrxMWizXUNeHoKGN3dw7mJYbDKdbWapw9u0WLZSk5V0GkcaBjokUYDpUvXYriXpHZCDm3nVnqUmqJOSPnQESTGELgrutS07S9WvO3oHUhImIWYua+fbTq8qSkq6FNOdGtHEfXuS0W6tNpsrY97hAlVz1IRJGJCg5hICIVEzHlTDBTEAUwFxCpIDIGUELVyJ3YjIOqEjAhszXEeAHt98mBhAPjwk9c8HqvPlTokQefgjEFoS1iEdV7Y28IoDFDWCAUwEzsBQotNJOmnJHN1e2k4+y9Tqhua6+bWk/sMw2PZ1w/oGSbt3N74+4b3cZ4Q5quwbnJudw2Le7s3Mlv3H2jfWf/nWZvuZfU1VedKZj33NB0NuVKquDisdEmLNslLRdLNE2DruuQLTMKlDTs4dBa69SUVBWSxLxwI1mN91Ofxbw9fRujOELggCujK5i3c6gqC2TIxOcAnAFhm4QmVFB9/v98Hg//vYenAPO9K+L9EMAdM3roLrtNM7hyeIjAnAA0UK2xsTFDWQJlGVFVJRaLCkdHJWIkADXW12cYDjuMx47NjS1azIO0bbT9faXBYAb3GVXVQLa2irKuC18uR9a2dVostHPPJFJEkaGoFsJckxl5zqpm6s8Cl2dZNri7u5v3dgp64gs8nwP7+y0ODjo0jZ1kMHVtfu/eUm/dmub79xeaM/zxsGNn7ktlbi0Ec+awss0UpKQgqhDCCCGMwDxYmZv7KsjM1NyHcP/+ZjDcMuqjGuY2z8g7idMuRz5g4YWwjCIiGSsQgBwYQoxoEUEje2kxpVyQksKhmjS7PmF7Se/7+OQol3/w5eTuuLVzK4cYmgeHD/Ts5GwwMzw8eKh39++m+0f30zItDQAkCEgIpoa6rkElcR7kGHIoOu2kqRuqFzXarkVKCZoU5saIKGhARETB4WpmollJVFYjKMe/smO33cXrB6/DzLC33IO6YqfewSItSnPbBLAFxgYJrdvSdiiQn2Yw34P41V99GZ/97LexXF5rR6Obd9xxzx0PibCs62rt8HATRLpqxx5hPE5QrQF0yHmEul6HyBLMS6juQfUAIox+JchIFovg+/uCEDoza2htbcnD4VjW1mKxtVXqdMqas2fV3DFHCqEUsyoAgpRSFqnZ7Lt9Gj7ID6a36Eyu2lrOSxUhJmI6Okp4550DO3dOfDxmv3ZtTMyEd989Sv/yX95uv/nNR2l3d2mPeR8/+diTt+whCMyOVbsBwBAiA4hUK6NzrNr1bEBvQcAcUs4P0Lbfv65E/ddr+F90pDbpYDDYF5c9ITkg0JHDt0EILIIQAyj2CtuYIgorQUwisSu9cDW3bN4PCbm7Ofy7QeSDaDF63/8noM2tv/PgnfTo6JGWoSQmpmW7tEW7sE577oaY+ta0AyknLOslYYhIRpWpFckS5zpDGwUnRtTonNkpU99shLOzF66eNSlxy0ghOajP7I6FgMelkppiv96HkGCRFjjoDmLytEFMGwDWnHzMzAJCPgWY71mZpBiN3gGAPSK6BfgdwO+bYbRclgJswkyQUoXFQqE6wHwe0HUBdV2tdk73ZkzuUwyHDVSXcETKynQ0LTTEQCIK1TnMlEXGMhzGMB6Xcnho2R2ZWdksBrMYVU1iLINITCkl/bBjAO7mKS21bVmZNbt3HELknMnfeWeWzWZ5b+/AL1+eAIC/++6+fvWrt9MbbzzKy2X2fiTi8ZFZgR6VZcFFITDDyvFO4F6CuVxNm/sKXNSB1BDpEmha4MjcS+T8n31/5QZw6H+q7n/F99X0YUJ6BGDf3C4R0dh0tTuIGBBaLQ8HIkdQoKBRC1XNWXPWpNprBd5XCD22W35yRfh3g88TINTm1ttZ+4Ft+pV2qG9Ptx2oIgkIRUQsvHPJTQamUJmLUQNFgrm6SRYPObglg6rCzFwLZVIK6PfHsZRCInLSDs+U8ah5hGk3haBvibfWInseg7AOYERMFQgRfgow38OYAxgd/8dKPm13Ab1khkld94vHUhpgPs8ACiyXA7RtgGrEYrEFZpy4wA2HQNMUWCyY2o4kpajMpTKXCjRG1MXhsIU7kUjBIv3YD5EmIDHAEgJLCIFFAhOBniR7P9jNzuGekVKrdZ2Se0OqSxcp2Izs6Ejz/j7lmzdLX18vnJmxs7Ow27cPdX9/Ye8X9RFFEhlxjCOOsaKiEMo5I4TeJ0aVwIwVuDiIDEStAk0NdEsgL4ko956+3+du4O2MyV+dwJIduvlddb1PoB2FTslp7O6w1E8skxCUM9QFBoOIkASOLFywUAYjO7k9E0boNyiR3l9OfQj+rwfnvjxqu5Y8exFyqEITSmtN0rSzfJizzbTrll2Xu6ym7mbq5uYwgJ3J2AQFopuLwWBuoNyPPSD0bn8UCCqKhS7wJMcEIMBRgBBAiCDIb8F6+hRgfrP46ld/DJ///DdBFLO73iPSm4DdBPw6YGMzUF0PkdIIMfarVFULqPZvSzViPt+CaoG2XUNRZOQsmM+BlBN1iXk6KzK8MjNoSqaDgXNdu9a127HehQjGrB2Qg4gUIQiFEIRZSJ/ZsXg/uCiABNXOm6ZJZrWntFCRkszEc7a8s6N6+3Y/4NSvioWr+jOGGAlEFYkMGSg4JWezGjn3bna9fcPxVDiBKK82W6aOqJu5NzOz+cLsMBONv+/nUP+2An8FaB+0uRgVD0ztgbLeJ6I9AP3+aV2tbFVHFgWjl9ULCSAkFFGQUkZAhkCdVoTvb1QO+W8NVN4PMASCmSGnDA8eqaMqzVPVWhs0Kbppp/W0butp3dSzusldUs3Wk9EAICAqKPCACwYLdwwJfbeLu37kgQuGR4cVBg+O41a8ux87hWQY4HAhIrCwO/wUYL6X8Su/8hq+8IU3QMT7gL0D8IuA3wboIoBBL4DrgaXnG45vrNUFrgWWyw103RgiCvMOXaqRc0dmkLYLfDQtsyppU2eqKqGU2OZz5JRgj1e3ugLaihDHKBxj5BACq/a7jz54qtr7rN4TgAxVs6ZJqW2XWaRkILhZMDN+34axx3X603dLwURrwX0cUirF3ck9IecEVQHRACLHoxK8apFnELVL5vbQrNkHuqOXXvq39Tvf+c9/IOdw9r+dYeN/teGmtksd3SGmhwR6RExXQNg8eYveq5Az5f4GJ4OJkUdEVi6qslLJbJ6B7DnXXmvK6dk33W/zSX8MLn2fHQRDFMgg5jCkGZW6UNFWrZk1aTFdNIvDxbKZN41mNT9eVUMgGUgIIVCgwCIiAqGggWIbSbrV6EEArDBoobBosGgndg6uDhgyHApHIiYNMXyIEZVTgPltdZOY686svE3kNwHcBOR5AFf7BjDw2L7h2PCbTm5Qd0HOATkDDoFq16td4ezG0qVAsxm0bVl7lp9dlfx4detjkLEcgqWikBhjoBCidF2rj3cgPevkGx6bkp9MaruZuapZr1cB+rXb9CQh+75KIDLzgInWgsiZwn0jdl2UrlMySyvrTkeMKwejcOwT4yBKxqxTorwD1Dtmy/n9+/8cjx79u99bvuXatafP2q3HszOHuQG61Izi5HZpfFcYD+DYJaIJEYWTt+m98O54yhgMhChU8VqcVBNbH65THEVZTpfpYHqQd+e7+ag9yur6vbnzVhw6GVggRUFFVaEclrmsZCFiqpaa1NWzum1mTdvO2y53+YTLoUAsQ4lhHMowCVUYhVIGUkohMVCQwgpEixAINCtSSrBWgVUmY8F6W011uLrC0MDRsnBHA8pPDW+eAsz3Jv7Vv3oZX/ziGyDCHhDeBvh5IrwH0FmABv3T/lkggyeygGP+kE7IRAeROouDRU24bZGZyY7r7ycZwlVWZESWioKlLAOKInLTCJllfza4+Mlk82N3vPdnO/3fefxrHoPLcZ7P1M8pTmIIG0FkPRCtRbMqpKTcE4nHRlNA3wV90nDK0Bt/2x7QPgAWO+77C6LND338/w0AF5ixPhzSHxqNgqc0enh0NGT3ja2iGK3HOLo8GAzn7mUgGnp/hFPbA04DYOp/HYcZfvAff6aj/+IzerC7gQfKeMiE8yCsPalRde/l9LY6l8NiSBeLi+FyuOTn/LwUyyIeDY7SbbndCqTttLN5mutvB0ie/Pwkc1EQQ4KYxGBShBQKcqKsOeWUc1e3bVM3dVu3neZVJ5F6cDkBlkmowjhUUknBBQd2JskMUQYbAwyQA6wMsQDLDk0GE+u3WprB1FoC1VDUzLwko2RqpwDz/cpiiiLUKenbgNwA8C5AzxHRteMr5PFN6ifdk6dBhhCCgDhCLYBzQIvIpip+UlMcn8FjUHn86rMY5BCQqirGuo4cY5CnV8Q+q4P0QW3sZ+X1/MSVX7DIIIQwDkWxHstyEogmQTVy2xKbOfUbDWQFUr2L9Gr5Gnoxn7lZnhLZXbPFXfejh/v7P9devPhHP/C3uHvx4kk9loDN2uysAVdE5HICrh6mdK0O4Wx2P+fM40w0CEQVExUJYANIASQiIyAHoCuApTj2//2vF7N/47a1v3zFh1+9bBtvnoU+WIfPC6dET0F67ybHhHOjc3hp8hJ/bPSxeJEuBp97sVfs5cIKabvWZ81M61zbbzuLeXLXtfVeuSbWSwvcvMtdl5CSqllOvYVn27Zt6lIyMwOBeMAhjEIRJqGKk1jJSCqppKBAAkK/8hYEo349rrH1WyzJ4bCTBXNmhuwZpgYzq+GYwzAzsoV15h+8f+sUYP5rxS//8sv40pfeAcA7AH+bCM8D9DyAbSKMjq+QHgfoJGN5qram3si7KAo4KrSpgSNTak3MXBwuvXnmilqlp3ubq5/hIXguCjnJYtq2padXxT5NBPTeuPQMcHlf7/SkrBMiqoR5FIpiHKtqHMtyGMpyJMCI27Yf0EypW2UvxwZYBuYWIcxXA3wEAJ1ZemjW3Tbr3hPxvXPn/gjeeuun3w8oAFAC2EJvevQSgFfE/ZWh+3NgPkvM605UFYNBHMXIS1W0PRGGofQNDgXQAbgZAt5aicrGRNh2xwVVnFHFx/bJXzxw/yNviD8aOd/adPr2WccbZxxvnHXcW3csy55Z2SjW8dz6c3hl6xV8YvIJ3sIW2qrF0IZcL2t/NHuUHs4fpr1mL9W51v86wALrVSam5hlZO+XsCW2WlHs+zzSllHLKOff2hn5cEslYyjiJfdYylJJLjiTE5ATy3lOGhFZWmf2IRKYnvHl7K4jekMoDCJQMduDwfRAOAdTLn1v6+CfHpwDzfcthepV17tvV9A6AF4hwFcDwicVBTwHDd5VI1Gcxsagg3QD9lj5I6lQA49XaVT/+NqLH3/fES4uCc1UVoSgihxDku0cHnszD+YS0fUzS0ROkND+RuRQsshZCWI8xjmNVVaGqYqiqKCFE6rcGlEiJURQFiCLMlnB3iHQYDDpU1QJFIQBgOfORWX4vpcV3zNr3gHrpTrjXgwoDGAK45sArAD4N4FNwfxnuFxDCJKytRT5/Hrh6FfnsWbRlieQO3dtD9Y1vINy8Cc55RY72TJISoQ0BuyJYmCESoWLGZox4uQcamrQtTZaGtSXhpR3C73sLWEbg3prjzbOOf3rD8EvPA+ubZ3FpcgkvbL6A5ybPodIKU51iOVzyeDDmUTniMpQUKNBvJ3NhMAuJCPc7JIzNNKuqqrW5bZOkdMLyrTYNuLuDACpJZChFmIQyTMIgjmIpQyk5ciAiIiOw9y52Qr2Kl5ig0N6X93E7+qkHYaAAZp45fN/d9wAcJk2L0U+MMP9fz08B5vsHMCdZwC4RvtM/aekqgHMrkHni5v3u7OU4i3AHggi4qpBzRk5g0yymJoAykOzYl/fpLOYEtDwE5KoKUlWRmiZwSoncv3vhfT8/dEy4Ph6W6UElrF4CokBEQ2FeD0VxJhbFWizLIlQVhbLMFGPPIPUm3wWYBSHo6n1lMHeIMWMwyCjLBswBqlwDdCdr+2abZ99eqj1cHv4pu7txYY2IXnTgMwC+hP7jdQCbcI88HFLx8ssof+InED79aeCFF9COx5gDaJZLHO7v4/A738H2/fsYvfcelgBy73oFDgFVVeFGUYDNcFcVCzN07khEWBJB3aHu6J4oiaID4w54eYdwYwf40luMr15hfOv3BkzOb2BztIX10TqkEzRlg6IoXIL4sVjtt2orKSQcJMTIMQYKUVyEnCinnDvquq7tupxzsmz2rKSTSw4yWWUtk1CFYahkIAWFnkBjJ4iF3ovXpZ+zCj1p7eQg70sm8u+29BQSMPMRGI/geODuOw6vn3xYngLM9yF+6Zeew4//+HsAvAPoHSJ6c3VjXAPoOgB+DAhPZjKPy49jFzhVIEZGUQR0HSinil0zu2fp15QcixH4iczlyVKLrSxDrqogMQqJEOX8rG4SAQggOnaeOwYYwXBY8vr6kMuyJLOK23Y9tO2ZQHQ2lmUVqkqlKBoSodUiuTFU1+A+ADMQYwuRHmRCAIqCUFVACISsnizVj7L6m8i73/yi/vzRn+z+2iv/gAevXWyaL58ry88F5ucVWHOAjwcK5MoVrP+pP4XqD/9h0PPPA0WBbAZbLJD395H29iBf/Sou/ezPYutb30Iyw8wdC1VMxmPYaIQUAsQdV4mwTYRGFZ0qBjljO2eMcwZWzeXj3pq5o3VHB6AjQtcCL79luPjgpj+6/2vt8E9/LJSf/XigGCAicHbv0FljjdVaa/b8oQEmSJAylGUhRVlIUQaEyOAABzrqGjfv98GaZn9/iiEgrjgcE7lxHKswCtVxSQRHn7WYQEwQLKwyGAaBn1pX4u54auzh8eXaMfEjAt0j0H0mPtw52tEXzr+AQxyeAswPqFTaBfAWQMdl0lmAJisi9ikO5knk7yeYDSFkMBuEAZEAloqRO+4zmJbczft/x54otZ4CK49RcozkMRKY++fo+wUY/eXJACKOfx4R4cyZgTz//Hq8fn0tTCaVLJcVPXy4Lo8ebcl0uim9a11NAK/GAAZQHSHnAdwL9J41DpEMkYwYDWUJMEekXGpOvl+m6Z2P6xuLn+J/9KlX4zf/QOD8sTaVzx24r6eUZCCCghkVEYQIToTiy19G+Sf+BHDuHDQldNMp5o8e4fDdd7H/zW8i/8qvYPyNb2Dt8BDRV5p9MxyaYc0MsgKT5A7kjJEq1lVR5IxCFcdSMV2Vi8egokQnDf1sJ7chDhetfuu/+Ie7d776NtG/t79+6ff//mHjDR/kA99Le7abd3VmMz9eM/JhMpdBOSirWA7KUA4iF5VAIoHYsqmqJuqNc/39gj0SYh5yDJNQxbVYhXEYyFAKjhyJj9m/48yEIasXEVZkboa6Inv/0cye3Xwk7PY0AG4CuBMRjy6sn0fF1WkG84PIYr785VsgYnX320R4u89i6AoRXiaCiBhE+pu9nyR+DBDuQNaMtusAdOiXbAUwDZnJGSAmUiZqeg2l28n3Hpt0H79ExIoiIkamEOBdZ3jScuHpZ9/j1vPGRsmvvLJVfO5z58qXX96M6+sVLxaRvvOdIb355hq9996IDw97Txz3uOoSVTArYRZXuqDjzlEGcb++JWtAyOxbeU9f1neLH/dfe/lT8sYr52RnyN4Nkg94WZaozdCZYW6GoIraHQNmVCLgX/xFHP6H/yFkcxNt1+Hg6AjT/X00BwdI8zlG8zmGiwVkVRIJEYYh4LBtcXd/H+frGqUIBkQ9mOjKSGo4BM6eRTp3Ds32NhajEeYpod7ZQXjjDRR7e1A/cWPo91sSYTel+qhp2r2v/qo9+iv/8/blf+fX14o//KXN77R38E77jj/ID7DAAgb7jXdSO0BOiCGGKDEWRVmWsSoDpHAFadbcpa5JKXVZc3qSazkGFxlJEdbC4DhzkYGUXHB4/3jCcQPTyWFs8NV/uzvUHgPMM7MXQgfgjpO/6/B3CPRwN+51Ex3jW3/5W6cA84OIX/zFa/iJn7gNIhwC9AYRrgC4BNBZZj8ToyLG1U2XsZLQ00mHSdXQdQkOBYGhOcK9IuLABCJmo8ctX19ZKxyXR/IUyAwGlVVVQUUhqOvjZWz0AS0LIAShq1fXwqc+dT5+8YuXihs3NuN4XFHOhI2NALMKi0XEfE5ISVbfJyerWB5ncQHEBYAC8AIjneO638Wn/W36jL1ZvIybxRk6gJDCACT0plUDZkxWZCzckcywUIUCWDCjvn8fdOdOT0ubgYmwIQKS/n1Hs/6iWWWFy5R8p2k8iaDuOtpdLmkYI86MRuDBALh+HVtf/jJGX/4ycOMG8niMrIq2aTA7OMDOnTsY/MzP4Ozu7lNHKoWA/ZTqOwcH+1C1AKDe39ev/1//H4fFrV+3W3/w/Mbb6Q7v0z6n0AkCGN0z3GCOtU8OkBGRE5ERweCaVc2tsaSeutx1Xde1bdt0Xdepqp6ASyCWsZRhcgIuAxlIwZHlGcon2OraAQMKeww2MKj1wPJU5fVYnaAA3nPyNwj0BoBbDp8N0wD3/pene5F+wMEg8m6lh3mzL5PoIhEmzF7GmBGCIaV+ynhlwbkiXSPMCuQUQVTAvQRQgqkgImdm7VsAaP1Y4t/fj3TyMx5rc0qMRkNfLmvUdYemURDJMylHd2A8LujatY3wyivn4ssvXwgXLqzRsUeIu+PBA+DOHcO9e0DX4cQ+8wTsVpaYAKEkwgXfxWv+NXzJfgWfsjdxAXsYeHusIkEGkFYcxzxnHOaM2B8krIlgEgImIfRaYyJ0RKjdsVvX2JvPMQJwpixBfb8b5o4yBAgRZjnb6113dE+1dgClezxvtjbKuUwvvogX/syfwfYf+kMYXLkCKgp0OQPLJWw6RZ7NYLdvY/KP/zFGr79+coyMCE1VYUiErbbFmIhmq1FyAmBN4/V/+YvTPD1nRz8VJ8u4DFpYoILEk9tTJc3qj5sDCri6q6tlztp52yplhYNyUs0p55RS16Uu5ZyzkzsxoZ8rlbKYFINyUg6qUVUVgxiPPXaT5z4L9tVCtdUfpVWn6Ang6f2S/f2X8XHmYgB2QPg2gG86/NsA7l/AhfYBHvzI3qU/sgDzC79wGV/5yl0APieiN3tOkS8CtulOVwFEkXxcyiDnfjm8mUB1CPUAB8OtXO1QIuo54g5EFTF3AKyvk6GrgcXHK0GIwmqxm2A0GmGxWGC5bNB1y/dtXXyyoxRpY2MjnDt3Np4/fzacO7dJa2ujfi4FjpwztrYarK01qKoWbasnqmR3gXkBMsLEl7hu7+HH8Iv4DP0rvIB3se5TyOoB7icEwnGHpv+sXd2oU1XMiXCoiq0QsM6MvhADChEMyxLFYIA4maBKCetti3nT4GFdw4hwuaqwV9f+9fl8/rr7Yb1CYAboEEivbm1tvvCX/lJ19U/8CTomxHLOqI+OcHDnDg6//W3kX/gFDH7plzC8dw/U7+3tf3cRTFSxkRJiCIPRxsaFX57P996p67m69/djVj/3Lx7Mr3CFvR+LFVccpJLorWs/HrgC5mN9S+4TCs+O1KVMSm0OWZmZ4YCpWko5q2k2mEPgzAwKJGEUqsFoUI0n4+H6aL0aV6NQSMFEQOMNaqsx1yWy5z57YYNyDy59Xojv5v2B77aQIBwA+BaAr69e7wKYPsADPPqrj04B5ncifv7nL+Mnf/KhAX4XwDeAeMHdz5phTdW23ROVZcJg4CgKBVGBuhZMp4L5YtKXIF6AiRBDBpCIOVB/q/WtZeZj97n+Su0d6R4/jYgCyrJagUyNum7RNPrEoT32Yyk5hM1QVReL8fhCHI+3eDweU1WVJ++nqhhluUSMy5VYrs+GzAPEDBv5AK/od/Cv+VfxGXwD5/EIYbUb9UlQefKa5ieemGvMQFHgIGfUZmhU8dAMvrWFc88/j3DjBvTyZaQLF+BFgaLrcLCzg/YXfgGDn/95FCFgYzRCo+qv1/XsDff9+WNwgQN+H1h0dZ3H/+AfbMwePhxVVSUzAHv7+9i7eROz27cRHj7EtZ0dTFICmOFEaN3z3KyNKdEGUXXkzpEZkxCKn1hbOzdklm8tl9O8UjQWyf21n2vm89Lx+mtBrJKABmxuRt6Di5vDswMZx8ODcHPvll1KlDIRkfvqkcFwitR7tAhAQhKrWI1H48HWeGu4Pdwu18v1OAljLkOBTAlHOsWRH0LV0OQWKj2gHK+FPclgHnuEPQtYHMDeClx+FcBXAXxn1cQw/IhHwI98GMzWFkT1t93lojtfMOMzqj7MOQ+HwyXW1lpsbTWoqgLzeYnd3QF2dwOOjoqVYC1hMOgwGHQUgnLbEk+nRF1H3q+glVX353hjYrcCnQh3A3PAYFBiOIxYLgO6Lq8yH1oRsgMO4UyM8UIhcqEQORuIJsxcPPVOUiK0bULTLADMEKKj9Iyz3X28WH8dH2t/FR/z23gpthhzLzz1Dxgb9u9mmSErPmXMjFYVevYswk/+JCY//dMYf+IT8LNnsTRDXi7RzGaY7+1hBiA1DZZ1jXFZYpGS/fp8Pn0954ND4GRGgk4gGdit6/a/+lt/a/fXf+Zn6msxrpcxFikE7kJALAqsi6A0gzOjA9Iu0fyh+7wkki2iobiHwixaznTgDjeTM8CZSyJ8x/3QAGd3DBr3T/9cu5iuSXXvQuk6VFIoWTaYGrm6r15PqXZ9ZR96kkyEfucSlb03CwlxrGK5PlwfnJucG1wYXygvDC7E9bDO4zhGFMFMp5BW0KQGonOwMYztmeZWT2UtT3/0FZB8E8CvAPjlFdDcRy+I/pHOXj4SAPNzP3cRX/nKAkTDfXf6JsDnzeK2KiY55yvudSyKJcbjDuvrgvX1IWJcx/Fy++nUMBw2OHNmgTNnljwYNDKfW3z4kHVnh3Jdw9yBohCaTIIUvS+8N435cqknoyFFEWgwGHhV1VguW7StOlGEyEhiPBdjvFDEeLHIeTscHU3k6Kig+ZwwHPbfrwrs7SU8fFTj8KhBSFO81N3Eq/Wv4qX6a9jMDzHwDudiROERZnRyoRIAf7IVv3plZhgA6ZdTPwYCZmx84QsY/bk/B/7Sl3D8S3Q5Q+dz5LqGv/ce1n/pl7D+sz+L/V/5FSBnTM26r7ft4c2cZ0s83bbxVSXiPe2MFtB3VaePVOvzbTu8SDRZIypLZh4PBp7H4+6oKOYHIvNpLzzC2KwamtFAFYUqmRlSSmhVEd35U1W1dcbMf72uD/OKs9o4cvv0L3R1/W8OeL4WJZdZcsqsnSLXWR3eD2XZMea+T6ok/QZKLhlcMRDBHLkcj8bVhfUL1fObz1cvrL0QLw4u8khGIBAWaY66ruEJ/VAmW28tcTwJzf1y+w80weq/ngE8AvD6Kmv55RXQ3AKw+CiAy0ckgwGYh4gRmjPe60+SnzHDes42bNvu7HI54+WyxnBYo6oiNjdrdJ2hbR05FyjLFmtrM5w9O6W1tS4ul/CigDMHevTIctsyNjYQzp3jsLUFBhiHh7C9Pdh0Cm/bsOooRQyHpIuFWUpLIxpxjBdiWV4ui+JCEcJWaNsh37kT6K23gO1tICWgqoDdvYSv/doU7317B1v3vopP7f0cXlh+A5t5B8EzShacmaxhe3sbsr6OtLWFdjDo2+27u1i7fRuhbdEyYxYCZiFgyYwWwNmuw/mckUTQMqOJEZtf+QqKT34SrArf34cdHaG7exftG28AX/861n/91xFv38be/j50ubRH7os3zQ4fmTVKhGpVfimeNpV4/4N7DqS5+9Fd98V5ker5waDKGxsdJpNlYs6tKtC2POi64dB9YFU1uD8eh4oI212HzaaB5QzkjBLg6zFulzHa/286nWKlw7l0J/mN1zt/4yfGsa04UKKAFkBERkBnjWW0yJ5cKferT1byJnDJkIGAKwYVRB48csFVNawGG+sb1fmN8+H8+nneHmwDAKbdFPt+gB3axa7vYcpztNL2c0WyAhu2Z7fKn2iSAbizyla+tiqNvgXg7kcJXD4yAPMv/gXh9/wehzsWzHjDnTbMijVVH9e1xcPDejOEObl3WF+foSg6rK0x6jog5w2YAWYdVGfEPOe1tVAABakWbDbUoyN4VXVhfT2Fc+cyl6VgfT1aUUQTiTg4iMg5+HCoGI+LvFxa6jpW94nEeKYoy0tFjNuRueKcCbduOX7t1xSqCXfvEkQyDh7tYfGtr+Hlr/+/cfbWz2PS7KDwjKIssfHci9j+3Ocw/sIXYM89h3o8xkIER8sldg8OsPjWt3Dt7/99YH8fB0WBWgQNgKUqohnKEKBFgZZ6kUXnjvt/5+8g/OIvolxbw8ZigTO7u/CDA6TpFNx1EDMc1rXfqev2HfejW+6LJaCymjkyd/BKHOe+el6vfINPvKNW3ExVFDi7vp4vbW7OB4PBvFbFwXKJo8UC87aF5CwvqG4VZVk2wyEexIiKGV0IYFWURECMaPodufz59fXtqap+cz5fkDuiAje+vvSdV6ri0RUeeJLg0Z16m81owTqU6Ky1hAT17A6Dk6x2XpcELpkgCCRUUkGlRy8tWGyllSlPoa7orMNhPsRO3sGDfB87vospTdHFDkb2XZ2jD4gFgHdWmcvXVq93VuCy/CiBy0cGYADgn/9zwu/9ve4AHgD4hjtvqFabXUej+TxF5nZsVlNKS6yvHyBGxnA4wGg0wWw2wGxWYndX4T6ntTWXshxiY2ODl8uJqkaE0Ij7oQANlyVhe3vowMCBiQMjzGYDqJKPx4UsFn2Z1HVEIpGZAzMXfCwfWS6BN95QHB4qXv92xhm+jy8c/n/x43f+P6h234Zrg1BGDK+/hMkf/sMY/ME/CHnxRfhohLrr+jJmOkWaz+G3b8N+9Vdxq2mQqgqdO7qUgJwxcMcoRjTMWLgjmyGvPsruLsYPH2JLFRtmfRt6pebNqni4WHTfqevpTdXZDEgKIBKRAkxwYUZ0III8+qrZag41RzJHYpZubTjSc1tbvj6ZoCRCvVjgzoMHWDQNZimhNYMToQQ8uSut/n2sZpUWzJiVJWLO/aQ2MxZ9Nyx8fH19+0DV7td1re5Y389+/Rs1HVwZDX0ggQO7ieUiFMlLD9ZZyF3utNPOkmUolJj8eOc1BOzsBQQlBSotWDHzGT/SR9BWEXJAow2m7RR79R6OuiPMdNZnLmw4Xgv7G4SuyNx3APz6qlP0TQBvr0ql5qMGLh8pgHksQFuJlRwjMxrnXI6aZjv2Ohkdmin1a04WIJqCuYXZAPP5BERDmDFynmI8TlIUJY/Hm2G5HKJpAqbTOZVlR2Y1hsOGRiPC9vYQqgWACZpmADOh2WxPq2pP23ZmqntqNjZ3MeYJuw/gzjg4IEynivbdd/BT9DfwY+mfYJimff8qFpDz5zH6S38J8gf/IBBjX7R3HdL+PvT2bYRvfANrv/RLOPj2tzGfTqF9GoYyZ1xWxXkzIATs54xuxT1Ed0zMMHTHhhkmq6+tnLSgZr7bNOnWcjm73XXzI/ekRBwIA4cXDisZXhB6efEKWPCY1aBUxHK5Odnozm1u2bAsvW4a7O/tYblcIueMY3FsSYS8OlkKWAaUV8pgAKthSMIsRqyJID6xISa7oxApP3b27PnlcnlwtL8/hapf+Vbd3PxkYQ+fixxYQAUxMQkignYacpcltR2nnDs3T3BkYvLVsKQ4eQSjQEDRUsv7eZ/yMuNR9wgEQmcd5t0cda6RLPWAsrJZ+E2iWRG3b65KoV8D8G30owD7q5LpIwcuHzmA+dmfJfzUTzmY0brjLQClGZVdV5ZEW4HILrnL0GwHXZeRc4WmAbouoOs2QHQBzC2IMtxrlOWcmJfEvIacx5jNNiCyhNkSXbeP4dAwHBZYXx+jadahGjAYrMtotCVlWRFwV9s2JxFnIkcIFJhLASIcjI38EH+i+8/xU/hHGFBCAK18+BzWdai/+c2TwQObzZDv3IF95zsobt5Eef8+0nKJ9X59AAozjFfAMV6dWE8J2zlDVxRAcIeYQdxBIcBjhMUIBXC0XHbvzGbT99p2OXeHCZcF+XqGl+5WsDur9f1fEUGQAJGA2Ct8NTA3G2sb843R2lLV8nQ2w6OHD9F0HbwvbZ6iIgRAQYSmHw/w3D/hUbpDiJDdkdxRMyMxPwUwJw+TsoyTyeSMFEXcf/hwf7Sf0/WvNbO9C6FEZIohUJAQODCnkKSNrXhwseysWRkK9uwZABtb6ewlMRUuHhInnvscTdcA7UpHA+9FdSfkOj318RlA4wBm6DdivL4Cl2+iXwh+B8ARAPsoAstHNoP5Z/+M8Pt+n0MEM1V8C0Dhjth1JQFbZiaXcx4Nm6Yh9yHqeoiuC0ipRF1fWm3eK+G+h8FA0DS9objZBpqmxHJJEDGY3YP7EcqyRFFMMBpN0LYDuEcaDtdkMBhzjEyz2d2O+VjuH0kkgmWTC2T6Q/Z38NP0jzFGgjw2bIQSIR0eQv/aXwMVBRhAUAWnBFop2EEEBnDZDBefaBHL+7qhlR+zIQCPx+Br14CXX0a+fh3NxgYWRYHDpsG9u3dx67/6h9L8+tc2WbgqmEK/TcnBTmAiFDEilgOMqiEGZelVCF0Vi2UMYaGq7Ww+t3sPHmKxXEKfEM/h6aVOJ79bQdR7y/Tj8dndfahKlTvmq0ylAdAyY/iMO7dfvyg82d7eYCLs3Lu/d/n1Zv7WZ6vJ4XOhIiYIC4IHRgblLhMJMXUklBFhlNhJzZ2JqHTyysWjR2dEwGIvmmOsLCH0xNMb5AR54qwZWe/zcvw+CQnAzhPg8murj2+vyvgagH+UweUjCTAA8E//KeFf/9cd7pgy4+sAyIy0bcvObENTGlyq6zQhCqxarbYSMNp2DcxxNVi4gbp2pLSGul5HSmtwn6CuI5iP+477GI87uM8Q4xxVNYL7EMNhycPheqiqM1rXCTkr2vbIzB7mELIxH9Jl/bXwWfyMbA7rp1oMx45wvgIVWS57guP4Zl0pY48v5PgEqLx/B8GJ/uXyZRQ/+ZOIf+APgD/+caS1NeSUkBcLNNMplgcHqImKXIRCuB9eLFnA6EcHqChQVANUZemDEPIgxroqioWINPOmyTs7O5gdHaFp2/73OnbpOkGDZ5cQ3PM6UHe0QEruXuVM62ZoQ0BnhhYfrDYLq06WEdFka2tdc1Z9+PDw6uvt7OhaUWqppHElfstGEA+reVVGgJAjwtEPfxAHABECobInhqjohXdsfOLb7slBSggWENB3Dw2GhL5kWql3azhuA3gLhNdXWcvr6CekH32US6LfFQADAP/knxB++qcdzDgww9fcLbn7sutik3Oou86vMYcNgMKTz/ycB+i6MwAqdB2gWqHrhlANcAe6bmtlrB3h/gBmCUQFzBRl2YIoIKWKB4NtGQwuxsUC1O8smuWu20siE9oUxOfqvxl25Ns4itvYiPHpxSRPAsazTIZWPIasnvJpBTiy4jBOvkME1U//NKo/+2fBr74KFEXf4Wk7eErIXYfZ/fu49/P/Avf/4X8Je+NNTELEWCIiMTKA5WAAGQ7zJMZ6XBTLYVXVIpIPFgt/7+5d7B8docr5hDv5MMDy5FcjEf7/7b1psGRpeR74vO/3fWfJ7S61d1VXb/QCAhqEEQgJYZAtrMVaLZBHY0fYHntmwqvCcoTDI884CIcVMTH+43FobFmWQsxoJBmLkCwxYAmQkBEIMAiapmm6u7q7lu6qe+uuuZ3l+773nR/n5K28t6qh2WToPk9EdmZnZebNe/OcJ9/1eeqGYIJXjRwjH6sqTI2BEEEbgyhQO5i3IFcCkMWIBEDRkAyvHT++GuZFdfax+fzid/b9bB1JTBojSPXN5LWIGFUwKRsCBNpIPomCDbeGvq71LTLNxRhzsCRPkWCCgYkGliyUdWGzsgiqdttZlkcBPALFw2jE0Z5puvYNA70YyOUFTTAA8IEPEN7ylhrDodvf2/MPA1o3U+k0AXgK0F1EdIoISTNFL7C2gjE1gAQhJIgxQ4yMxRdzCBZVtb4kADWBMRaNMi3BOYVzDtY6YoaqjqP3OyHGqah6Zcr4nuRpd9Y/xM9UJX5fFd+6soIzWYaEGQa3dj9dPmFrVUxjxEQEhciBzIEjwrq1WG8Fn/jECbi/+TeVHnyQACD6GsVkgt1nruDZRx7BUx/9Izz94T/E5MITyH3AyKVIjYFjo8rs1bmyNxgUaa9XDrLMJ87p/nyOJy5fxtWdHUgIGDDfIJdbvNfnIhYs1WJskyrFUjWoquvXNdaNQVxbg19bw5wI++MxehsbMEVx8FqpCPqqKJkRVMHG2NuPra/Pr843TlzxxfyeLJFUIRIgqohOgEa6g1jIgqjpKhM1SmUMGNOozzExWBlWDLiVugQAEoKJjZgUMyNSVDUa2hbzFik9qapfaCOWR9HsFC1SohcNsbwoCKaJZBJ8x3dMQBTGqubzzeyZGTPzVrObh/sBnGvkUAJbOydri0Y/lbQlj+TgnCECYrSo6xWoZohxDmNi41ZAKQCHECYa4zjGuOlj3KxFpge7tuu0xS/Xz6eZVgQAl4sC06rCbVmGc70eTuQ5BkkCq3o45WmLnrshYKfdJVoe00ebWqVEWDFGZzH6a89cqbb/t39izD1358Y5Kvf3sHflCrYvX8Texgbm0zmCKJwhkE0jjK1rl5SaZoXJ8yrJ8zjIc82zDHWMeOTKFVxsC7eGCH3mZkblKyCWxf0LHd8aiHOREFXhiODuvhvpm94Ee/IkxtZiXFXoXbiAUx/6EHqXLwMAkhix5j2mWdYIV6nidJJkDyT94RMPV7NnX98b1o5ZRRrlfgMYy2ByEFWICi32EYkBsgzjGolLGxu5S1Y+UDoloQOpS2VFcEGii2WkuCuQZyB4AoLHoPg8CE+1kcwuBDUMsPm/vLjI5UVBMADwR380xHd8Rw0RzIDqcWPMhMhuqmITwDUi3E+Es0QYMdOQmVNmZWM8VKtWA8bAe7Tqco10QwgZVBMwR4SAdiuaUFVeva81xtDmDI3CMwG4B1fT4+F60nMOeTtQZlSxHSM2plMMnMPJ1VUcixEj7zHwHmkbtVz1HnsxQm7oIB0iGAXiNMb6E9NxeNoXtB99Gv/giuM/UOK2HBmblEqCUiSi4KyrUpeUJslqSTMfs0ySLNM0z6mf50jSFBt7e/j8xYvYnU4PirM9IiRfgly+WPM2NGkR8jaKUSKdi3gvouG1ryX/Yz+GlfX1ZspeBCFG+BMnsHXiBE796q8ivXoVIMJaVWGSJNhlRi0CVqW7+73RvZf3rn/2al0Vd7kcUW/UTuCaZca2diKxuSg3TfcmkGmEui0akhFttuoV7QqAhYBRi5WJWLkWES+q6pMKfRSKCy25XEMzVCeb/+uLj1heVATTkEyCN7xhH8eOjcrx2F8moj0ibBLhGTRzM3er8jHV5HSMOAnQCECPWZ213hAxN6SCA+Hw5pziVnmuPWilRFEUVFXRhJA65hUwBx/iPA6Mp1fme9ldJqOVNIVbMnjzzNjOMsycwxXnsJEkYFWYa9fQF2kkJ5hh2wu3tRYl0pmI3w6+3gq1TsS7UmPPEJm+NVhxOcY+1NMQvSp8VKoBqonYW2PFWSdpkmiSpJRkKbIsQ57n1O/1YIzBpcuXceHZZ1GEgJwIriUY/iIp0fPRrvQAykW00pCMzkTq2fnzmr3tbbR6/vxB6iUirfe2R/Wyl6F8wxuQ/uZvNnM/MeJ0USD0+5gzIxNB31n3slmWf/jzZbl9hnNom9bERiOXqFmYFxYEGxA4NMVZbuo7ws1ekYg0EQwByorIUdSoV9YxGNfV6TNq9GmFPgbFBSK6BMWzKrqjohUxvehSohctwQDARz6yctCseetbdY+oyZsBPK2KO2K0t4WQn1JNT4nIukhcdy6uWRv7RLGXJHakiiyEJoNpSx+0qJqEIJjNptjdnWIyEY5xRMw+WIuJKO/emz3Tf82gOnkC+U3FW6sKx4zSWqgIyBjYJAENBtje20NZloDIQSE3dw53Hj+OXpapDSEmEhMz3nfJpKBFUneCLAZZv/r9yf61/SDeECsTYA3DsgFzY6VhrSXnLNIkWRAMQoy48OST2NndhQMaMvwidaHnSyyLx4V2Wje0tSMDoDDGhze9KY7uv58T58BNEeswwXiP+KpXQT7wAfDeHkCEYVXhHICJtRi28zK3u6z/wKPj3SdeJ7OQu9xFxy462GjBylCjiC4eEI2qImoEaeOJfWCO1twXBVKo0bGS7IrqM0p6CQ5Pw+BpEC6C8Qwrb+pUi9v+wm1y5T1XXpQp0YuaYJZxzz3Ak0+iJsIGgF0RPO09jouYU8zmlDE45lwYEZVrzDo0Jg6ZzRoRHQcwFEHaBBHKgJoYPdV1TePxLOzvz/18jiKEfMa8ssNcX0/M/Pq3pZvfuY7K3qozRKrIvMcsScBtsTdJEvTX17FiLaq6xnQ2w7Qo4GPEXceP4871dVgivq3JNPB4VePC3rhVYFTMZ4U+NC93d4B6EQ0spD6Zufk51sJYC+ccXJIgTVNUVYWnL17EZDI58Dv6iomlDfcafdvWf3fRSsGNDWxWBdbX4+gNb9CV1dXFAN8hgqnrGq6uUZ87B6yvA7u7B0Q9rCr06/qA9fvOuJftOPvhK/LU7j0m4chDE03fRJOzsBUVRI5ETCBu/aoiIBAlJVWjwsxeSOZEtA/ChpJsiupVhV4GcFlZr4DxDIDrRDTFBD75iQSfOvspdHiRE8zP/dwNn9nv/V6tiFCFgB0AF0UwEMGIiEbOYVUkjphpwOwGAK2qYqiKLEYYVbgYI3sfqCxrnUwqmU5DVZZUAFlhjN2PStt3m8v6LXb7zc1I1s0pBgHIvUcaAsQ2YbxpiUCIkKdpcykKvT6d+rNra7ZvLS+Er4IIJmWJZdnxPWC+AcyWHOkO6QkfkIwxByRTVRUuXbqE2WyG5/ThacnlS0UsKgK7tmbS229PeTAwYTKJ9cWLVRiPY2xfIy4Ve7O1NVq//XYa9vswpunSiMgBwTjnYJ2D7ffhjbmJ4GiJ9JiI7vVJ775H6o2Pn6cLLLwGxbpCVyPFlYjoosYkakwEwqoqqhpEJCCiZOGpGp0Iyy4b3lHoNTCuKXQDzdj/VRC2AYxVtFZSbP7DTeAfdqTSEcwRvPe9N8jmR39USwClCLacEyYKDogJgLwZv0KvXelJVZEC4uo62LKseDotdH+/kuk0lPN5XajWJZHOpnpy+8cGn7xnnWejhfUaHyEXoNFtGbZFS2qjGCY6dCL3s4wuhDD7w8kkfF+arq1Za0UV29Mptmez5RqHXAH2AiA3KVMvSKYlmAXJeO9x9erV5yYX1eedBpExtPr61/eP/fk/v5qcOZPCGApVpcWlS9Xm+963s/+Zz8yBZitbiGBUkSYJ+oMB9dr6z3IE472HtRbGOVAICLPZc7fz2/vX2WaverLmh3bkYzpCH6prAhkp6yhSzCNiFhGdiHATY2nQqKWqzgHMiGjMzLuisktEW6p6HcAWFLsApuCmO0RC2PibG92J1BHMl8a7333oxBI0myjVj/6oTtIU2N0VihGcJIwYxcboTVEUNJ3OMJ3OaTbzqGtICKjLckeBSn7r3Du0VvdKBVaOnhTL0QXaKCYWBbTfh2VulKiWwEQ4kSTZ+3d3r+6G4H/i1KnjSYzJI9euoQrhgLh2gdl2O3uhy5O1i5SnvW8RyYgINra2MH8OctEvxziRCKe+53tG53/iJ46lKytmEc2EEMifOJH3Tp06Ofv5n7+288gjpTJD2iHBem9PtChimqY3HZfWWlhrwc6hvngRurNzSGTrVhGWY6Z7x+bESz88e+qz359vsehxUFwRkn40sRdMyIXENjmRRhERiVJKlLlEKYyaMYH2ydE+GPsgjNFsLwgAbPytjlQ6gvnaE48ulRC+pNn6u86dQ6kORHQaqsNDXtlHyAVtLaJfFE0Hw1pIVd38zWxtsm5M+vHJZFrEKOer6mQxnSZJGxkJoNeBWQBkMaa87PN+lHAUwHh/H9PJ5Ksjlrbjs/aKV2T3/eRPro3OnjW82I6O8aBQm7/kJa74/u9f2b9woRLvW286xuz69bjx0EPl7Q8+mB59XWZGkqaQ8RjV7/0etChuOOw9R22IAZyEPfWdn5gkv/W+k4/c9y83B0KSRo5ZMCGPJuZixIlKu16kMcY4Ey8ehEKCzDXVuYMLw5Wh1KFWAuHiX7nYnRAdwXzjoC2U9nRpo/iLuQwbVdiyPDj5jyIzxpx1Lr8W4/yxoig2Y9y8i+iUbVzaUAB+p4le6LnSiAVxqCqqssR0PP6qiGXxaLYWd/3ADwxP33uvc9YedIKWCaaua5x79at7T5w75/YuXKi1rafEstRPvPOd45e86U291fPn3U0/pK4xede7UH70o8+5QnH0PeXGrB1n+yCSD//uDzLv/9//54nm34wSNRbSTERQUQZBRCXCAOkoFVXF7t/fBQBsousIdQTzjUowi+ymuRwml+cK85/j/kVX56RzWVJVDCKZOFdcBbb6VXUSqmYPKEogHEjBqkJbslp2RBBVRBFUZdkOkt36RD3oAqG1G1qKHPRIUbd/+rQ9//rX91ZWVmDa+s4ywdR1jbquoSdOcP/4cbP7xBMH75GZcfGjH60++o53TL77p396Lbn3XoIxgCrCxgZ2fvVXcf0XfxFSFDf/fZ6DEC2RHVr7mr8DDHJjJht/e+NoJHrLKHSGWXfgdgTzzUEu2oTrUduCq/lSJPLFiQoKYNW5ZIU52VMtAWDLuWlP1Z2vqvVtYC5N//wggtElkpElgvF1jej9LV0IWmKBXV017vTphLKM495e8Neu1VJVetNiowh6x4+bY2fPmkHbCVoUahcE45yDcw5S13BpSjeRVIz6xLvfXd715JOy+m3fZpI77kDY2cHk4x/H7HOfW7jRfUliWbwuEWFg7QO3ZdnpnjETeN8dlB3BvHDQa78iGZgI4BdGfrechfkixLP8HAVgmc0Ja9Nd78vFo59Nkn0rwhPvqyVNeyyTjCyuF/MlMR7oxRwlF05TWv3O7xyuvfGNK/bkyUSJKMxmMnvssfnu+963U126VN9UKzEGea+Ho52gBcEsirXl3p5Ue3s3RQ9MhHEIYefxx4N//HGjzAdER6241vMhl+XfO2U+u2LtS+7s9R7/e/M5/tWXmf516AjmGxaMg5b0zCw8aL8Kclk6Eem4c9kT3o8XQUAgkktpuutFFDEeLuweIRlRhQ8BVgTmOcjl3Nvfvn7me793zeU5qSokRoT1dTM6fXrYP3XKXvl3/26junrVLxeMq93diLKMaZoeetl2Yvhg5qZ89tl69swzYZHyLctVFDGGfRE/ci5d6MvQl0EsOPI7J8wrfWtf8f2bm+/9aWNu6sx1+Poe/x2+rjnSwcnXzE7cgkAWszHPl1wWJ9C6tWkOGGm8ahfC2ALn9FBqdJRgWomHIkaUt9p+VsXpN795cO9f+kurx0+dotWVFayurGBlZQUroxFWRiOceOUr8xNvfvPw0Hsjwvjq1Xj94YfLW9WOjDFI0xRGRJ9873snsrsbzZG9ptYDW3a8r/VW9ennSS7L15bIDqx9xf8I9PvGdMdkRzAvSJLZBdH+rcilAm4MVzwPclnc0xuN3IPf933rD7z1rcNsMOBF54eTBNyKWB0imuUUaeEwcLQGogq3ssIv+eEfXjl+5gyvLIilvYxGIwyHQ6ysrOD0617Xd6urZkFiIEIoS/3kL//yeHrtWrj12a947D3vGX/uXe+aJgB67UDh0UfteF95QOjLIBc9Qi66lHb1jHnJ7Wm6PrRd0P6niY7Ov874f8Zj/PcrK0Aje/LdAF6y/O8BzWaxorF2NUe+9W/NV42MyeyBB8h+//dn577t2warJ0/y5qOPlrGudbEKoCEcPJ6OXIMIsZVcWJZdUBE9+apX5a/8q391bbS6SnmeI03Tg+JsI6ZlYZhBxmDjIx+ZltvbkZZ2nXaffjqUu7vxzMtfnmQrK2ZBktX+fnzo1399/P53vGNnurkpzAyLm4varTQcncvzXkZkv5yo5chr3CByVZqG8HsnkuTyu8uyOzC7GswLDvtoNFn1IDhZOgkWpOGeB7ksnruf57h+7Rrc1hatnj+/csdb3hKe+J3f2dXWNYCcg9b1wbe5oNnXkRtr4DcdAFmSuHsefHBl7dQpzrKsFUFvBuhijPDeH+wExdGIXK/HN82fqOK/vvOdk6uf+Ux1/1vf2ls5f96Ve3vxid///eKpD3+4rOdzJeYvGlbPYwzjEPyqc6l+meRy07+pIiE6NrL2pW85duyP/ufdXfxf3fHYEcwLDDUahbNGoWBx8C9tK+sXIZej6RID0BgRYkQMAdeqiuwdd6zm584V80uXSmKGSRIE72+0qNu9n8VSoEUjlXAQzjLz7SdOrJ1cWxv0+32kaQpuNWuWCca2G9iFqvjxOD7X0NvlT32qvvzJT9ZkDFQaSQRmxhcjl8XfpFaVnRDq25NE8Ryd+y9FLMvDgo4oy435lrc98YR9c5IE1HV3RHY1mBcG2ggiKPA4lrabn3NbGbh5z+ZoFwlAUhSgRYtZFcE523vZy0ZsbcNH7e7OrbpJRIRsKSVTAKN+P1sbjQays0NpO5q/SImSVsphoRfT6/Uwv3Spmm9shKO/x6ImQ20ahfY2G/Ocsz9H/a2hqtfruqoBoecocj/fqIbQ6P7mzC99o7WjHneHfUcwLyB87+XLi07RBQG2dIkw6OYcCNFalKurCL3ecxIRE6G3twcOh2up2e23993x4wla+RVO04OVg+WuUtoSzNLr0cpg0DPO2enFi6g3Nm56b8wM5xzSLAPHKE++730TP53q8nzOV7JioEcin4Vrwq739VTE05HJ4S/1EwIaadBDxUYi5MbcfSJJzh5Pku6g7AjmBRbFNL7LG0r0jB5JdQ6lQQB8kqDs9VCNRpBbnAyLYm1vPEY2Ht+IdlRh+n2bnT2bLV6LjWmimKV2NaPRnqDDhEVJkiRChNm1a7j6n/8z9FZuim1b+Yn3vnfyxPveNwfzDWJ5nuSiz0UUS88nALMQwq739YJg9Hm+dt0atsUjf+OE6HjPmDvvzHP8HaLuoOwI5gWHTQUelaWTxSx9CAtPo8iMCMBbC9/r3XSCLyKdrCiweunSIaElMCM5fTrDIjUhAifJoSiGlj/4tn0NIhJqnByDCJ5697vx5LvfDd/ahBwUkqZT/dSv/Mr++//ZP9sux2O5lWvj801djkYtR3/PoCqbVVUJsyxIZmYMdpIE4UsQRAAOTNvalAuWaJAbc++fu0V01uHrg67I+6eEdsmx1sblr1QgW5inOQBCdPBhCBrNWiJCnaZIrAWHcFOqZFRx7NIl7N59N+arqzeKt8OhNc6x1LWACGwtyBhoCIdqO8vpjIqoD0G8KgyA/b09/MG//Jc485GP4M43vhG99XVMNjbwhQ9+sPr4b/7mLu3vR9uO8X/FxHIkajn691IAm3VdFSJxwMxBBBtpinGS4Exd43hRwNzCkpaXSCZgYToDOCKXMz/wQ0DmiEp0KwMdwbyQIEQK4HECdlT1tkUk4g6TEChGBJEmFTIGwVqk4ea5NWLGYDzG2UcfxVOveQ1iO0Rmk4QOiqvt49g5xBCes4YRRWQ6nxe9fr8fiGgSAuZVhfHv/R4e++AHYaxF9F6vb23NJuNxGDzPQumXSyzLzyEA+97Xm2VZDfLceSLMmFG1DgyZCEZleXOtaCndXOj/LuZ/HPNd9zAPB9aWXSepS5FeUCjTFFWaPumdu9TWZA4RywHrtzq0XhW7Itg15qau0qIOYwGcevJJnLhwQdEuBGpZRo1Rl9MpkyQ4qJc8x4k/nkxmk6IopzGiEGla6G2UEr3HbD6fj6fTiQJKX0mN5UuQy62eU6vKtbKsgqp6IgQ0e1QVEfbT9JA2L5bSTgsgMGNqLcpWaLz1dDrTt3Y9Zcbf7uowHcG8UPD9ly6hzHPM+v1rdZ4/Kkly6CRd9qK2MQIxohTBtvfYbVOom+ow7XNsCDj+J38S6k9+cr94+unZ+KGHxuq9LsiF0BR7ydqDdYFbneR1XfuN69e3d2ezIi7lT1EkjieTyebW1nblvefnOHC+ZIfnOQrBX+x5Aui1siynIQQQtY6MiqCKmTEonLvpZ3Cbdk6SBFcHA+xmGfyCkIlWc+b1vGtVdynSCw2miURmcO5zESgRQg6RmzaprQiSusYeMypV+PYb2C495mgkk1cV+Y99bLLLXFIIh8hlkU7ZJEHl/cEk761O9J3ZrIhVtTHo93vOOaeqWlZVNZvPixBCbGsZhwjmeVUyvgxL2UV9aEG6ezFWm2VZnR+NXEqEoq1RlUSYG4MhEXhJcoLQtPFLY1AzY5zn6KsiLUs45oFjPvfSwQAXjhSwO3QRzDc3mxNhzZhomR+hJNnRJHlOXd5eXaMOrWk7Wv+gpXb08nNaSQIzZHbSRi6H/Iza26a1Q1nuYi2nM7FJSVB773f29vY3rl/f2tza2t4fj6cLcjHAwhDqec2kHCUX/XKet5QmXZrPS8Qox4yBQTPnUrfG93KraIgIsRUUr4kwznPU1oKBlIAzf+GOO7oDsiOYFxZ+/JOfbBTiiB4zxjyNNG2Eq29RC+iFgJ73DTGoIhiD4q67IN/zPTD33w8y5nDdhohWjUnoaAq1RDTcTvZK66p49CSPi21rHN7CXo4MsrbbdeS5hAOfAhiCGiZYQ0gsITFMKTNSZiTc7Fa6NouxuNGpp1tFNy2R6XXvy+uzWTgBoN+mN34x77JEtEdTzkVHbsaMuXNgIktEJ175iU/YrofUpUgvPEZvCq2bBnjEOPftMIax1CE6qMOo4nRVgVQxCAE+z7H74INwr341jr/udcj+03+CPvTQISJZMSYxRKytzAHdom5jnUNd1wiqSG6ud9w8Vbv0vlIiyhrCOljOblyedcFjTAuioca7oKUIUoAigKhQbohrsX+5KAtFVVo0fQ4FOQRgqlpfms3K47NZcnI0QkmEqq3F3MqvidvfT1tJiooIM2uxyswMHD8POF0IgHXoCOaFgtCcGLM+0cNkzIyMGcpCVmEp7SEAvRhxeystUCYJtlRRPv00ruU5zrz2tTi1vQ175QrQ+kYPjXEpkSmP7O8s3zbWQpshtpvSGL6ZWJpOOcAZEedEbFq7XGrKHLyIXNDOCdKCZAhobeOhjTYwBVV4KDJQs3sJCBSq1AZVpFEVUZugw2NJcSEC8Zr382d3dvojVdPr9aDWwonAijSWsUfTTBEYa5uZIhHMmTFq/hj9tJMq6QjmhQgBMGKOAXhYiXaIeXiUXJa/uc3SSS8hIISAyWSCuTGo7rwTd25sgNuR/p4xZkDk5qq31P4loqYOY8xhglnars4IVLfkwYBxBM6ITEJghhII3KRBLbncIJnlSIYIRHwjhIHo4bDEULu9QM0/qUK0ydKCKGpAozRPO6j3jIHialFUtfc9znNkp09D0hQFEVZDAJXlgYAWARiGgCxJMFtKp3xDrnkCWP0yp5A7dATzDY8f+eM/xnte/3qA6KLGeAkidzyH5i7M0ld4UtdwZdmEBq2I9rXTp7F+7BjWNjaaFQEiXjHGbXp/ICp1U2TUGt77uj7o1LT/zBawIyITAQOCYcBYApsmOuE2BeKWZKgtO3P7Qw5eCgoQHU5bmmXPNpZpwx3cOL9VSBeEE70AAkzrlixcW6SpVMMOMOuFkNGpU0xvehP8uXO4ZAy29/Zw6rOfxfFHHgHqGsoMVsX1EFBb2xSvm9qTRlVrmhSpQ0cwLzxoXUOYr8Wi+DSF8AYiMkcjF7TRy6JIkNU1sv19jM+cOegK1XmO7dtvx+rWFkgVTEQDZoulb/FlcnHO2V6/3zfM9eT69SKqkmNiIlgmWAYsEwwRLN0Q2FuMvbTRykEiQkcLsrg5KDrUrWrG+OnQe2uGgZp6TRvhMBQSFRIPnq9I2hfaY56f/vZvH43e9reEeekAAC0ISURBVLbUnD0Lam1vfYy4cv/90Pe/H2c+9CEgBIzLEqOqgl9bw35b10pUVVW9fnmNrA4dwXwTpUmTCbbTdH66KB6G6hTAytEi74Jg3KLoGwJG169j++67EdPGWVWJsHfiBOo8R9p6Sg+Y3aLQy0uvxURYGY1Gw5WV9X6eV7O93asCZcuUcEswpr0mkCGAFcqL+slznY+3IpdDBxgxLBGE6CAHIihYFU3AslRIJkAaciljy1EKTqOqBIi3Ishe9jJe/2t/jVfuvBOm7SZJ43sNPxhg98/9OfhHH0X6hS+AmHEHEYZFgSfzHL0YIVUlhcgkNnthHTqCeeGBvMcdIWgAPkPAswuCuZVqXbKU5qxub2OwvY3929o1JlWUwyHKfh/ZbAYQocdsE4Cq9rUOWtTMPMiy1DKTZlmS5j0X5lOyzLkhOEMwhsjyQfoDkrZ2sqjE0lJFd8EputTaPvQ7EsERI2eDhA0iCKyKWgWiAquKqBHShjqLOosIqiioAFDC6WimZl00lqTlRpLnet8P//Do7Ld8i3POgY8QTF3XqO68E9NXvhJ7n/0sUiKUMUKLAqM0BWLE1dksjGMcg8h35iUdwbwg8ReffhofuOsuGODpVuXupTcVZI8QBAHoFQVOPf00ZsePI6RpU4uxFnW/f/DYlNmkRFwudvyaF1IC4JjJNVIQnPX7aTUbV4aQWYa1RMYQiHFjpoQW/9EmgVnUhbiNZ0RbzRUFIo62tBm5seixRcoGkQgsQK2CWkIzeava1GWgi4qveKGpAGJMspKadHVcB0uERBSmf+4c3fn61/dW19ZgW1M3AIdsadMsg959N/asxayuMY+x6YEXBRwz5kS1BzZLVZ91u0hfd3SDdv9tsUPAfyWgvBW5HP1/VsWJZ5/FyUuXDqQyiQjUTgRr843BGZFp/l8NE1ImpAq1EoMkRLDM6A0GmVcSQG2bIhGDDhsnYtF/btYDEiIkTEiZkbW3LdEN0+2lAnXKBj22GFiHoU0wMA49Y5GzRUL2oMfdvGkH6vUh1pU+ovLq1hR2tRShnlFdsWygMKt33mmPnz9vhoMBhsMhhsMhBoPBTZd8bQ3G2oMaVqUKw4z+aATf70898ORv3HVXkO746yKYF26eREDjWPIJAJsAzn8xclkgqSqcf+QRRGuxef48XAhw0+kNMmgJhtsMhgkZQ0mhUtcVHBMSAfq9XrphHQQaUjLWLKIBVUTowVLhok20qPwuCIVa8XCh1nR76VdzxEiYkbFB3kYwpQgYemPFQBU8HKL/igfh7r0P1B/AjydWHn702OxPPpuEskINYOgI8wgEBfVWV3lldZX6/T7sYu1hsXm+cDuoaxRFAScCj2YKOrcWZ/t9SL+vnxmPt2uRJ//2pUuHBM87dATzQsXn0aRJ578UuSxSgnw6xUs+/WmsbG2BRZBev34wqG+IKAXYElGECjWF3FwBKauCKYomxlAvy6zNMhNDWfWMy5pgQuFFEEUQVSCt+BTRYviFDklL0C2KvYtFw6aXfXgpUqDwKvAS4E6fwfoP/yjyBx8Epxm0cS1I1l7zZ5L+HR/Wy7/5HinnM93zjFoAC0WczTSxVvM8pwPvp1aRb+F5TSHAf/7zCGUJVUXPGJzv93Eiz3GpqsK0LJ8IwGUH4Bc7C9mOYF6o+O4nn8QH774bAK4B+GMAbwRRgqMn7628mQGk8znOPf54o0GLG4p4qTHImI1VhSpUFJUhXSEiqn2p82KK0WgN0Vru9/uu2imrHjsQNcNoqgGBAK+Cps9zCzLRxY7Pogh8eIgutrtOtQjmFJEqUKmgjBGz6BGHA5z9yz+JY9/+BthWJEtVDzpBve/9HjIbW/zE739IxhKREKRnjJ7a2Ejt9evEJ08eIl0iQpIkMM5h8ulPY+cP/xBRBIkxONvv41SeQ5hxtSiKHe8frlW38+4Q7AjmRZIqVQA+CmADwO3LkYuORuAsA3Z3Ae9vDMvdIqpRtKr/1lLapEjt1jEKBSpL6KsqxtN9jPojZMZidTTKdre3xxkbscxcSxO1eFUw6NBS0AGR0I2x29DuAsX2/xeP9RpRCre6uoI5MYIq5hIxjwGnv/0NOPdn34y837+pE+S9R57nqN74Blz5+H9FnI41JS0fGA3dg2U5Kn/3d2lw332gozowAGRnB8/823+L+dNPg5lxIs9xOs/hmLEnope835yL/PFtzvlpN8HbEcyLoQ7DDUE8BOBhVb39IArIMoy/67uQ3n8/Bp/9LPDhD0OL4iZy0YP0o1Vsa7srlQgiAAuSWjBOWDNmmKIssDfewfr6SawOh+lVZvEKnxGngQADPhStyFKHSKBNU6m9f0EuUW84KKKNbEoEKBQ18QFZlTEi9nKc+7NvwbGTJ+GsbZY/F17ZbSeo9h7+vnsoX1+jerpXn7dcvb7fXxlUldv7pV9CNRzitre/HTwctm9SEC5exNbP/zyq978fqTEYWItz/T6SVvHuuo9ypfaf89DPzFTxC6Hbc+wI5gWOt1y4gI/cdx8AXAXwYQBvUSAVVcx7PVzOc6j3OPbyl+PEZIL8E58AlrpHBzUP4MC5cZFOKRHmIhgwIQjNvWKeEoaAYnt/G2wMevnAcZrwdl1XA2PSqILQ1l5upDx6kApFWiYebYu7CpGW5pjb96fw0qRKDYE2782LIFk/i9MvexlGo9FBq/lWBFOvrIBT508z5m/uZf2zMea2LBH39nDtn/9zxE98AulrXwvkOaqnnsL0gx9E+YUvIFdFvrqKHjPYWsSWDB+p6tlWlN9XlU1Q1zztCOZFgjc89hg+dOedwTD/oSF6up8k96fWgrIMdV1jsr2NfWOwf/487r54Ef2rV2+yXmUieFVEEYSWdFzrdV2qIieWMmI/Yc2ZYFUV27vXkRVTNgR3taqKE2kyKmJAJRG1RkSVGw6NbQE46uGirqgCxiC54w64e+4FDUeQ/T34C48jXLmEKBGCZm26ebxgOBph5dgx9Pv9QwSzmGVxzsF5jzkgZ+t5dZelnL3PrniPLEmQOYdTMQLveQ92f+d3sFdVmM4LlDGgJoIzBmfyHCbLMFGFIcIzPuDztX+0Vvnd3KTh533VHXgdwbx4UFUVRPWRnnMfC6r3pgD3vEfmPSZEkBhx3Vokd9yBl+zswHp/KE1KFlFAjAhECiLpGQNuW7UWClIqS8F+z2CdCCQqqMo5DEu6UVfjHZ8EQG0pAV6bLtJR1TscKvQKeDDE2vd8H0Zv+C6Y0QpAQPAe9c42xh/8Xcz+8PehS1IUhKaSnBpHvV4PfKQTtKjBmBAw2tmmB6uiHwCzVRRNJFIUADMya7GWZY10ZwhImTATwjxGrAJYNwarrSTFOAoeKuvZdoy/AYTHQa474P4U0cWK3wDIjcEnd3Z2R8b8bgpshbqG7u8jH48PvI6UCLunTgEnT2IlSeCIkBNhjRknrG00UdraCwEyMOZgzqNuajRaRhp7pflBC5kIgyzJClXZqqt6Hj0qDYfI5VZQVXCa4cyP/Dju+Es/gZN3341jx9axvraG9fV1HLvzLpz+kR/H4NWvWUjiqYI1aibjjbHMr22oNQbMTSGYmWGMQZIkyLIMiQiKz3yG7Oqqwfo6PBFqEZQimIWAnbrGHIAmCWpjsCOC/TZ6G6YpBs7BEiElwmUvuFCHP64kvtuZXpBux7EjmBcb3njlCt5+xx06dO6/ZMZ8JmVGPwSc2N6GXUQAqih7PRSnTuFEmuIEgPPG4HbnYLxHVRQgZhQhKJhjnxmDVo5TWpKJoDCPtCOguplpIaTWWjJM1+t6XkhQ33aSnoNamosK1l7zbbjrh34Ux0+exNrqKtbW1rCystJcRiOs33YOJ7/7rcqDkQSxUksuglTMzi623/P/QarqFjVvgjUGk499DFuf+AT2swxFmsIToUIzlShtKjgvSzginFtZQZ4kgCr6zDiZJEhbAa7LQfCx0j+zH/0vfM6XT6gG/ELtuwPuTxGdqtc3CP7esWMAMAPRgIneYFUzo4rNkydR5HmjL8sMU5Y4dvEibFkiMwZzEWzN5/AiSNMU8xDCjHksxgQQYdZ2k7QZwoM2Q7GaG8oNgZmJpkU9n1W+GlruH9HzXsqO2vVnqJreQB/4H/4nnHnVq6mX58iyDGmaIkmSpobiHKw14CSljY/+CdU7cxqAcFoDndWa/RNfoN5tt2H40peClnyNNARsf/jDePLf/Bvg+nUMqgq8tYWqLOGPSGOGEDCezzGtKsy8RxDBmrW4o99HyoytKPr+uZ896at3Bqn//W3WVSuo8JFutq6rwbwY0XaFAoAPAHibEn3X6niMc88+i/FohNgWdqf9Psb9PkxZ4npdo4gRIoKkte4wzLUSeUIjjr1uLbZCaLyu0ShJFRETx2RXHNYMgfPUJXvTYl5EKQaGbzWDtpBrgYhgePoMnXn1t9qV4fBgUA44vHRY1zV0bR1nh0NK4HGciYaGYE2KWBR4+md/FruXL+PUW96CbDRC3N/Hzkc/iu33vx/u+nWcqGsMJxNEYzAaDrHdLi4W3iO2Vi95S2hS12AAI+eQG4OxqP5B4evHffWBIP7nEs72g87xf3RGjh3BvFhxz2OP4ULTsn4SwLtB9Eobwupdly7h2qlTuN5EOKizDJsrKzBVhZWyRFbXKESakX5VrYmqmuhgCH7IjGgtxiIHTgJEpJOAPSZg1dFaL3GpEHQcdN43SAi39oZfzLpka2u8evIkBoMBzHN0gqxz4HyKB1NGPuwhTRMYZnCzzY1L0yme+OVfxpXf/m2M+n24uoadzTBq3RTysoT1HmQMEmOwkqYoRbBZltiYzQARDNMUx4ZDTKoK6j1WnMNEVT449/VDVfWJSvz/frr/kgvPzr6AX6i6uZeOYLooZlGT/W0A3wuit67u7+Pljz6KP3nFK7A3GsGEgEIE19IUmQhWiJAYg5n3UFU6zpxsA7YQCdK+Zq+1gK0O+xPJfqA9ZkLibGaYeRykOO54kDIdqOIdIhdoqwKlmqeZ9no9MkspzoJgrLUwzsHNprDzObjfO7RTJY2yHI7P50irCmvOIWmlIKwIWJoWeTCm8TUSQVCFZcbpLANUcX0+x8Z0ipn38DEiZcYUJP9lVhWfr/1HKvE/K1p/7Nr8MfxC1YUuHcF0wN1f+AKevP9+ALgI4NdA9GoGTt7+7LOwIrh07hyy+Ryj+RxZCEjbzlHqHECEuSpuT9P+ENCPF8XORgi1NMx18EHH9rIgmV2PvVRNCmaUPoRJlCJjM1wW2z54dBP+oNjegcznSJLDxifGmIZcjAEbA374Yeje3i19nwhoiESk2Xhe9phe6pyhHRosABQiYGZkaYpcBGVdY2s+hwCorJUv+LhzMchvV+L/FbR8iMnJvy27mZeOYDoshzHgRgHhfQDeIsBfhog9c/UqTm1tQVozehsjbHsiRlVMYwT3eshXV2llPh8kgPlYUexe8r6Sds5kiS80Aoqm6CtzpUKJIQrseJmvWu45IiMH1KIQJQQlAiUcNyZm/umHCA88cNPbZ2YkaQq5cAH1+97XzMEcHQzEje5CADARQc4Ms7RXtTBNWhBkagyqlmSUGau9HjRJ8Oxsjmciwha7z01i/MVS/K8n7thGXV/Dz3fk0hFMhyNRzKOP4uIDD+A8cO0i8O8FeHUgejkAGO9h21TiQM2NCPve49p8jiQEpNZCi4KKuu7dFmNCIVQekECEkKYQ5hhCiFUIsVINc6JQMgc2JioBs6j1XpD5cWeGAMEr0UyIAxyvuYzvzHM6Yww23/krWHvlK7D2spfeXKu5cgX1v/7XkMceu4lcFqlgstSuKlVRqqJH1OrR3GwC5xpjOVg0xWqoYotNeNwkz1xR/Z1C9RfLUH0mYRP/3eRKdyB9o3xfdn+Cb0xceuABMGA94W950Xd4omMLg7WFzkokQq2KeV1jUhRQVThmFDEiqCK1jXLcXBXT1VXo6ipSa2FD0Li7q3481irGWDD7R/b3d69MJgUD6DHZu/LeKYVLKxgeJAm9pJfhuDGovcduVWMWIk6+9jV43U//A5z81lfD9XvQskT41Kcw/6VfQvXxjx/sTd0KUxFsen+QrvWNwaoxN6dRSxcDoBTBlboOT1TVpcer+gPXovxapfoxR2Y21Sn+Qxe0dATT4UvjsZffh8IqCDjXL+kdUfDfVcakFTNmqoAIEhEkADLmZmyeCFWM2K1rgBl3rK9DADw8HuPayZMweY4ec/N4VfjtbdSbm4gx4pHZbOtPdnd3TXtQHHf56GWj9RP3Dno8ZMJeWWG7rFGE0EhDtDWUY8fWcOd9L8HpU8eRj8eQp5+CjMe3jFyW4VWx4T2KtrPFRDhpLbKFBy1uWJtwW5aZSPRPR3/1oXr+oSfn1f+7WYWP/PoDLx2/8eHP4sPdIdOlSB2eP+774cfwTy6uYTP1uz9+5eR/uvsZ95LE6xumIZhKBH0iDK1FygyziGwAWGuRJAl6ziFLU1wdj3Eqy5AxYzvGhTwE2FqMTpxASoTZ/j76dc3LRZr9UE7WjOSJD6OLRYWinSh2oAOrkcQYpNMp4kOfQeUMrOFmEZO/9IC4bRwQULWi3NTWiZIjin5RVHdVwrMZ9p45aT+3f6f+Lp3l31kb6udOzzOhf/HZ7mDpCKbDl4u/+BnCtVM1ZqWnD7+q3C5X+Q/Pf45OJ3O555xz3LP2oMMCNB0XWSw9tnq5++MxKu9xbH0dg6rC8arCrNeDGINcFcO6hldF0u9jMJ/TorDauijivXubeKUb4gynhw4UQdOVGhrGmjNYTQxywzep7t1Umzly3TMGMxGUrfVJKYIRMxiAF9U9Ev/MKa6nrz5WZq85+/Sd944e9vzEpcnkktxWGMPMAky7g6UjmA5fLn77txV/5a8oKBBmIdDD9/vpfspP3vdocuLY3K3yUi1G2wIutXtJqGtEVeTMkCRBKEukIsgApDE2YtpJgiQE7LSt7sXOErcEIIx0B3Hw6TiFIcJJcm3hVWGJMDKMdWew5gwG5kYH6FaksugGHdk9gGkLt6GtGdWqmESRXRuqZ27X4F+3Tmvfflt629kVNo6cSJHUM58Y4qSfO+4y/I5gOnylEcxfJIQgqOsodRmk6kfaeIAqXg1T+7AZrW1ZNtp8gMSMOk3h8hypKmQyQShLJETIAYj3EGuxB8CLwE4mmBmDKdqOTFO7kcZFgCCACmAUoIIEfxKmeLnp6VlOKWVG3xBWrcExZzAyjXPjUVKJR4hlGYuCrQVgmVFG0SsxxMezUFV3aqRvJTt6eS9fP5farOcR4pb6IBYQp1IZa9m2QVqHjmA6fKWoqgDvI81mtfT7LqSJxM3zJtAK4r2fA5962sJ4QiSCb1MLtRZuOEQQgXoPx4xIhCkz5iKwAFgVsd1PamdhUIQQl9IXIkXNoMqLprvq46dkCp8Iv8b2+ZSzGFrG0DCS1hBJWoGr5kX0lqSyIJZFAXceo1zVWD8y0PLZuxD0gWhXznNvZd0mri8IfgdlMQczMUApkXEidUZEiTFwqii7o6QjmA5fAYiAGAUATFUFLcvKp6mrjZWwc4LC498BWx2LdO7RBMnUNKP1rUaucw6m10OcTA4G2kgVGfOBO+PyZk5U1alqoHaIr32GtxFbweC4Y+PIEH0qzOIWvPxZHvIrXM7GMCbGYOwcCmPgmWFU4UQwqmsMvT9EKgqgjCK7MfrN1JRX7zpWhj9zXs3dbI7T06aqn3XWqlFhxAiIeMQYIEKWiFIidqqyaHR1+VFHMB2+GrRaTVJVQWez2ieJemtt5Sz8ZAD35J+Jdv9MwG1fyGC3M0ASeG5OaJNljQJcCI34kirINBauUfUgvyAizGP0M6J6kOeo6hrSrkqSoHDA1iAxx52hhIUIbOg/TnfjJ+u53D9YsfNejlVrMXAOSRtFEYBEVQd1raWITKLEPR/8s/DV5orW4f7j8fjrX4tjL71bBmsmLcprdnNj28Q44GZ0J0A1IkaBtQAzofEziI3RJJFpS08dOoLp8JVGMI2GN0kIMcxmvnYOc2u1sBaVczC2b2jr7mDGZ2oMrkasPuWVdgZwMSNiA00zIM7AABwaFwBiPnAgWFw267qoVEPmXNPBafVVVAQkKKoiXKsdrwRo/3rwZqpCj/qKn9rfQr0PXXWJXzPJbNWlngA1AKVlJXXt45RE5JjB2qt7bviygUtOsEn7a+pWnBRxJ4a9GIDaWju0eX6CmQXMM6hOIBIRI8EYBRE15pJNAGbaX6lDRzAdvhL81m8pfuiHaFEWkbqOYTZDaYzOiDCzFmStkmFOfQ9m966pXl+blleuuHDq2ohOTdZcz3EixGRU4Vo5zdCmSdSmTWNV/0hZjolI3aLtbUwzKdxGUarwWss2GLOZCUMlZD0y0Sp85f18XITZVOfhipISAHZE2Zqxaw+k6R2vXRve8ZqVfOW2xE2KQq4+O52Ox9dDVSXBuV7o9Xrc748kTdfIGMdEFYkQYpxBBIhRIQIYA8UNOwC9EeF16Aimw1eDCMCLqC8KqZjjzBiaO0dkDAQwwTlOgJoLDn7jWJh9wVyf51tJPM2j5L6Yr5wrs0FPrE0iUVAFUdPh1STB3FqdTSbq0Qy/yZK5G7cF4IVQJgQFFCUIpvZBg0JSkBKTcgpKV40dnLfJ+n1Jb/XupLdyJk2GawlT4rE3qTGZFCiKwhRFQZNJFGszqaq1kCS5jEbHwTwikRnqOqIotuF9BWOAGJvZPSIlaoZtSFW7FKkjmA5fbZrUEkwFoIpRy7KUwjkprI1gpqBK3jl1gJqqUu9rKQsN5fW8LJ9Y36s+PXTXz5W9/l3zweqZaTbC3GZEA6NpnyTvwQLJy48dO/m5qtqe1r5wgDZqvc1AnS5FCq2Eg4LJUwLlAcGuMbkTzPkZ4/pnbJqvmiTJ2UYjsj8rwrwujHPM1hqKUYiIrKrnothWgJVZROQuybI1pClRjDPM53NUVYoQJoiREWNj+2QtSbuuxERk0Ql4dwTT4ashGIKqCjNVANVE8DEilKVUSaLqnHoiqZ2jhEiN9xq9Ry1C3jJHTQhVGv2F4WT6lEzK3JvdfMZZb5ZmedVPct93Pe1ZMjAvWc9Xr6Pgq+NyqqaxFRAGlKGakMKRah9CPVKzQrBrjGTFMOdgJdVIipn4WOyHyk7JOkeJMUishcsyk/R6qUkSS9aycU4sUJkQoohUTCSUphnluSMRgxiHsDZHXRO8VxhDIFK0JgQwhkLDd4QPfvA83vKWS93B0hFMh68kgrl8WfWee9gD7IkoWstVknAkMsF7CkWhVTvuYpuaBUWAAzPEWkXTMFISCMYm+r1hDNqvZ4gTYmFKxBAHZqoJck60CBI8EKWJVFQZqhaqDIWBKimIFKoCUyub4JiImZm4Kd1EBgJbizRJOHOOshitOmeTJEmMtcpJIjZJvGssnAID3lgLcs5RjB7OZWBOINJYclurAEioaX0pM4SIfGtk2aEjmA5fCZgJP/IjIzz2WOGtNcFaG5wzSBLDSWIcM9WABu8lNFsDZGLkxSgLqyrFqCKCKMIQUVIFYlRVhYpCZxIbtV4HUQdd9ltrhfyX5v1vDPkbkxlrBsa5oXUuN9ZaEAUVqaSqJqEsZ6EsK58kCKoarJXArM45YoDZWmMAS0SBRGYc45xUE4gIVBnMOVRdK8MJACpL5pVwrnl/3/3dl7sDpSOYDl8J/uN/jDhzpkavx2WSmCpJkpgkTqxlOGctEYcYJaoKiQgDMQkhGAAQgYhEX1XqG+MB0sbySCFCWNgf3Ri6vbmecesmDSFJhi7LjqXNZTUxJjVpmsFaiEjpy3Knns22wmy2Vc3nhYhED4RahJM8ZxejQpXIWrbMket6z5bldbLWIwRBCAKiHqxdAeARY6lALSINWTZW1oquidQRTIevEnnOUNXaOVtkmfNJkgRrXTTGkjGGRRQheBejz0Qo814toBKC1iKgutbovS5UM+PzPSlvflwbFrGhfv+Y6/fPZv3+mX6armVEzlhrkWU2qlb1fN4viGzpva/H46IIIXiRqg5Bkn7fJNaqi1FhLTGRWO/37HT6DKtOoJogRgOiHpLkBBoN9DFE9kWk1iYi06jKEmPHMB3BdPgqCcYghBD6fTvPMldmWV4lSVow2xGzNd4HV1WchYBejNojEisisa5RGMNwTiSEKERQkQhVucVZ+aVO1IP1AaTpyPZ6a3Z19Uw6HJ7L8vxEjzm1zIwksUrk6zRNIVLF2WzbAxTKsqpjDKaqaluWLslzkzknCRFIRCiEqZnNnmXVKQE9WHscxoyQZQSghojVsqw0hDoCKiIkqhK7CKYjmA5f7QdkGVevFnF9fbSX58lur5fvZllvj9msqXJeVd6pSl81DACTE6kVcUHEElFCziVmMLBOVUMIVSyKvVDX8+h9IV8euTS3VaMyE5xzyLIMvV6uxmQAiJyzECEyxrIxjpipreKoeB/E++DrOnjvXcxzEmbiGFm8L1EUWyQyhzGr6PVW0eudQJqOoDpHXUf1fl/qehpUY1RFaKtCHTqC6fDV4J/+03383M/dAVXZy/NsezgcbOX54ISIFiHIQER7Zcl9Iu4xJ041ZWsTcq6XAUOyNrPG9FJmDiJVqOv9ej7frnd2rlRVNY7PLz26cX9dF1LX01DXe1VdDzhJrISQWBGlolANYe6n041qOt32ZTmJMfpDROB9DPO5VkTGOMdJlkG8D1pVMwA1rGXkeUCS5LA2BZCBuYT3u6Est4NIjDGqhNCFLx3BdPiaYDgcoKqKajgcXF9ZGe2kab5XltVctWYAmSpyEeNULTP34NyAmVeTNF3nEFIHuGitC8zBV9VOaW3CIkF3dqrS+0qfX/TSIEYvs9lWnaY9MoZEtfTW9oyIsveVluUkzOdb9Xh81VfVvhJF4xzBGGIiMDPIGDLGkGUmXuxdigiJRIjUADysdciyfnuIjrQse4E5iTFWApAA1E3ydgTT4WsBZoOyrEOe93b6/f6WMW6nLMtxjF5i9C5GtSLMgIO1QyTJcWI+YYhOsurAibAaY6K1Gsqyz8xRQpiGstzx02kdFpZJB23pL5EyTafbPgSvVTWOs9maz7KBNYaMaqSqmmpZ7qrqvk3T2qSpJSJlZmJmUHvNxpBJEk6ZyQCN123TPaogUgLwIBKoCphtsLYXiDioUiCiSJ3cVEcwHb42+MmffAgf+tAPqvf1XpKk2zHGvRj92PuyiLGGamBVbaddGUmSwrmcnMub8VtxaIbhBERzW5Y5O8dIEkNpatrZE4LIwXIjRJrFgIM1gWaordHWhFBd7/N0WnEIW5SmjqxlGEOsGoiodmkaKU2ViOyCXJYJhoCGZIwhB8CIACEomD3qeoy63oMxBNUK3s9VRAJAAU1bqW6imA4dwXT4msA5BwAFM1+vqmK3rqux9/UkxrpS9QeRB/McSTJHmk5hbQIRr2VJsaoQYwxVWW6Xdb3nVYuYJKrNAB6hHcCDiLZ2RkyqhpgTtjYzRNymOMEAtQW8YRa2tmRjKmMMcWNwQExE3Dyel8iFqCUZ5sbagABQ81hlEaWGZAKqagfz+QZESogEeD+NdT0LIlqj0cry2q1SdwTT4WsHIuD06ZNSVfVuVZXX67ra8r7ejdHPVP0xZjXMEcaMYW0KawFrS8TYUwChrkNVFEVRFOOiKDarEPaDMZX0es32oIgiRkWMIBFnmAeOeWiNGTprc5MkiTFGmWhugBmrzkyMEyaqubGjPiASJqJWk3xBNo1bijENoyy0blp7pzZCkgN5hrLcx2RyBVU1ByAIoQwhFFVdhwpASYSaqItgOoLp8DXDt3/7b+CTn3w7nEtmIrIpEq+JhE0g7lorp41Rx6wwZg6i6xApEGOGGHsqwhJj8N6XdVmOq7Lcq0TG3togxpgm6RElEbVA4oCRI1pPjTnmiFYcc2qSJOEkAVtbMbDHwK4JwXKMe8wceUEwANGSYN5BZNUaF9y0O0TEUGWICIgERArvPabTTRhTNdQj0atqGYIUzlEBoDjY7e7QEUyHrw1msyne+Ma/79/3vn9xHdBrzLhmLa4ZwycASZjhrI0gmiLGot1GJpoXpLNZiEURQlVVMYQqMIswE4wBMcMAlDRi2lnq3HpizOmE+bRjPuGIUsNMnKZMzpWkmnGMYO9LquspAXpAHovIZHFZEMqtyKW1igNgoCrw3kO18SKYz6cgiiBiUdU5QHNAJ8ZgbgxKVcLf+BtXu4OiI5gOXyt813e9B+9+93VY63YBuWQtzorQGSI6DdCIGasgIRGBqEfwgroOFIMaQJwx6pwTR4QkRtTUCNA5Ik2NodQYTqx1SZr2kiRZc9Yed8acMMYMTVM8ZhgzoxAi6noKohQxWoj4Q6ncF7t9o3JCUKVmTVsbExNVRQh1W0sSiFRgNh7gfYD2Ad1NU5o0riodOoLp8DVHkjg89tgfhfPnX3WNGZeZ9Sygp4mwBmg/RklEBDEKoihEBMaQTVOkxkCYCSHAxKghRgERHBESZpMxm4SIHJFYY9Q4p8baQEQFiLiNUGZQLdA4KgUQ6S3JZBHNANwo6LWk0kg9xENyl83NRmo3RkITESlUYwQwYcYOEV8HaCtG2s+yUBWF6Q6GjmA6fK3xAz/wR/jN33wFiHRsDF+Kkc6o4iSA4yI6UuixKMJRBM3GsRIRjLVIAEBFmQCrKjFGIVW1opSocgqQBcSoVgxMiWgPzAoiCxGB9wGqM4RwHd5vwfsJVH1LJssy4gvCcAAyEGVgtjDGonEMKBHjHN5X7eyLAIhgblrlzX2qre/RJpE+w2wuMfNGCLTz6KN9vfPOzhKpI5gOXxcwK86ePROeeebiFVU6EQIdB/S4CNZUKFdBX1VJpfFVFFEigrWWSIQ4ijgOKk0kAQNi1xCNMomnECao600wezDvw9oMRIIYa8Q4hfd78H4PIczRSC/YllAIjaNIQyxADmCAGHMQJWBOYG0A0QwiUxizh7Lcg0gjUNdEMoQQSFXVq8oOgEuAXlSlSyHQ9apC0e8H/PW/3tVfOoLp8HXBD/7gw/iN3yhgLU9jxJMx0gkRnFTFCVUMmSknZiPUyG7WdYQqCFBLpEykjhjKDIQorEqsTUEEqoIYC1TVFkQm8D6Dc0kbpQTEWLbEUiKECBG7RDAMZgNjemAeAVgB0RpU8/ZQc7AWIBpDZLslkxIhTIDWTKXR9DYSgu6L6CWReIFIHo2Rnhah7b09yNpaNwLTEUyHryt+7Mcu4Fd+5X5Yi80Y8ZSqniDSdWYaEvEIoJEww5jmZAyhmXMBwIAyM8FaByKCMQlcksA2rmftiP68JRJCXaOttTSj+820L0HEIsYFwdi2TsNgTmHMANYeB/MJGLMOwME5izQlqG7De4L3BUR6CGEO1QjmpiLDjCkzXxaJjwHyee/j4yJ+Q8QWxgh+5mf2ugOgI5gOX28kicMDDwz8pz89vQzoOpEeI8IKEQaAZMYgaXMjANIWTmmJFBJYm4FND2mSoVlKFABNKhTjfIlQmp+5uG5V8bDYY1roajZpV4AxhEaPxoDZgjmDMRbGEERyADlEMoTgUNcOqqrMEpixT4QnmekRY/jTRPQwEV2cz4tda0V+9men3Qf/TYSuFP9NjHe9axOve906REylKsqMhEgzIs0B7QPoqYIbQljUbyyawmuTvhCdBPMJOHcMSXIMzg1gbdYWZKVdPLwxdbt8DSwP0AmYI4g8mAFjHKy1LcEEiMxb0pqgrvdQlruoqj14P0eMVQS0UMUWgAsAHgbwEBF9loifZObrq6ujoKr4gz8oug++i2A6/GkhBEW/76P35hpzuMCsfQB9gHJVMJGeWnyRNOP6Flk2gsg6YlxHjMcg2oezCaw1cM4D2IGIARDh/Qwi9aHhuTaWAXNTRF5M7Td1Gm0tX0075xJhzBxAghAUdR3gfYG63kNdjzXG2gOYqdI1gC6q4nFVfQTQR4nwRIy69a53Xfc/8iNreMc7drsP/JsM3az1CwC//usvg6olomINiA8A4WWAvkZEH1DVO0OQMzFqKgIwJ2A+CebbANwG1dNQXQNRAucI1lZQ3UBdX0ZVXUJRXIX344OoZXnFcHn8f3mQrpngNXBugCQZwtoBiDKoMryPCKHWup75GKsixno3Rv+sSHxKNV5QjY8xxwtEehnApio8EfAzP7PRfdBdBNPhvwXe/vZH8B/+w/1KZHZV5SlVMoAyEbyqlqqoAJwmwpBI2RjA2kZnBiBI2842hmEMI0Zqi7oLv5LGunWZYJZXAJavbyDC+32EMAWzAZGDqosiVIvoTER3ANlk1mtEclkVT6riYox0EcBVIuwaQ+Ef/+Nr3QfcEUyH/9Z429u+gHe96x5l5k0RVVVENJvHMyJMAewT4QwQ14iK3Jg5W7tLTRBbIoRmdL8ZftuC99uIsYCIP5jKvfU+0a0WGA+ISFUjRGKtWs9VeVeV9gDeBHiTCBtE9Aygz6rGZwE8wxx3AMwmE4m9HncfbEcwHb5hPkzLqOsyEtEmGk/ruSomgO4Bug1gsyGZ8jiwPySiHnPlmKeGmeG9RwgVQtiH9zsIYQxV/xwRyg20ZCKq8Gh2CKr2UrTvYUyEHSLZVaUdQLYA2gF0E8BVVWwCuq2qE+Z5UDX45/98r/tAuxpMh2+8esydaFrSRKpxFEI8FYKejVHvJMI5Zr7NGHvS2nzduf66MfmIKO2p2jSEmNR1RVU147qecV0XHGOgQ7lSczu2RFK3Cv8zVcwAzAFMAZQAZu3tKYAJEcYA9tvLLoBtQLdUsUeEwjmpVBV/9+9udR9iRzAdvtHxa792DsxMZVlbVV0XkdNEdIaIzjDzcWY+xmxPMNsBwH1V7oUQeyFEW9fehSAUgtjWsA1opCq1JZYSQNHWdsqWYAoA0/a+eRvBTAFMiRqyaUlmr71/3DxG40/9VFfA7QimwzdpRHMas1lNzJww03GA15jpGBGdALAO0BDQnqqmIWgeI7kQYGMENep2B/ayob3ULXl4VdQASlXMW2JZkM4B4RBhDqAgwpQIJRFCGwHhp36qK+B2BNPhmx6/8ivH4P0JWLvFgLEA5428Aw1UMQKwoqq5iLoYKQkBLgSlGAERUm1UoBZpkW9JplZF1W48V6ooVDFTRWjJpWoJKQLQf/SPoEQdoXQE0+EFj1/91bOIURmNmr8lQl9VExE1MSJRpTQEcAiqIkQiunBSrNvrACCoYt4SzqIuIwC0i0w6dATTAQDwzneeBRHaLehN1PUxqmuiug4UgoKISQRyRMX/4PY/+AcdmXTo0KFDhw4dOnTo0KFDhw4dOnTo0KFDhw4dOnTo0KFDhw4dOnTo0KFDhw4dOnTo0KFDhw4dOnTo0KFDhw4dOnTo0KFDhw4dOnTo0KFDhw4dOnTo0KFDhw4dOnTo0KFDhw4dOnTo0KFDhw4dOnTo0KFDhw4dOnTo0KFDh29i/P+bYT96gmZhwgAAACV0RVh0ZGF0ZTpjcmVhdGUAMjAxMi0xMi0wNlQwNTo0Mzo1NSswMDowMEpymE0AAAAldEVYdGRhdGU6bW9kaWZ5ADIwMTItMTItMDZUMDU6NDM6NTUrMDA6MDA7LyDxAAAARnRFWHRzb2Z0d2FyZQBJbWFnZU1hZ2ljayA2LjYuOS03IDIwMTItMDgtMTcgUTE2IGh0dHA6Ly93d3cuaW1hZ2VtYWdpY2sub3JnnL25SAAAABh0RVh0VGh1bWI6OkRvY3VtZW50OjpQYWdlcwAxp/+7LwAAABh0RVh0VGh1bWI6OkltYWdlOjpoZWlnaHQANjAwNYO+ZQAAABd0RVh0VGh1bWI6OkltYWdlOjpXaWR0aAA4MDDjscDiAAAAGXRFWHRUaHVtYjo6TWltZXR5cGUAaW1hZ2UvcG5nP7JWTgAAABd0RVh0VGh1bWI6Ok1UaW1lADEzNTQ3NzI2MzWu0e+GAAAAEnRFWHRUaHVtYjo6U2l6ZQAyMjFLQkLNZghXAAAAM3RFWHRUaHVtYjo6VVJJAGZpbGU6Ly8vdG1wL2xvY2FsY29weV8yYjhiMzUxNTQ5OWYtMS5wbmclToOOAAAAAElFTkSuQmCC';
-			
-			createPDFObject(png32bit, '32 bit base64 png compressed', 'png', true);
-		}
-		
-		function createFrom32BitPngImg() {
-			
-			var img = document.getElementById('32_bit');
-			
-			createPDFObject(img, '32 bit png <img>', 'png');
-		}
-		
-		function createFromBase6424BitPng() {
-			
-			var png24bit = 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';
-			
-			createPDFObject(png24bit, '24 bit base64 png', 'png');
-		}
 		
-		function createFrom24BitPngImg() {
-			
-			var img = document.getElementById('24_bit');
-			
-			createPDFObject(img, '24 bit png <img>', 'png');
-		}
+		$(document).ready( function() {
+			
+			$('<div>', {
+				id:'container'
+			}).appendTo('body');
+			
+			var select = $('<select>',{
+				change: function(evt) {
+					displayImage($(this).val());
+				}
+			}).appendTo('body');
+				
+			var option,
+				img;
+			
+			for(img in images) {
+				
+				option = $('<option>',{
+					text: img.replace(/_/g, " "),
+					value:img,
+				}).appendTo(select);
+				
+			}
+			
+			displayImage('jpg');
+	    });
 		
-		function createFromBase648BitPng() {
-			
-			var png8bit = 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';
-			//var png8bit = 'data:image/png;base64,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';
-			//var png8bit = 'data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQBAMAAADt3eJSAAAAMFBMVEUAAAD///8AAAD///8AAAD///8AAAD///8AAAD///8AAAD///8AAAD///8AAAD///809TMSAAAAEHRSTlP//8DAoKCAgGBgQEAgIAAATXQTkgAAAJtJREFUCB0BkABv/wAAAAAAAAAAAAAAERERERERAAAjIzMzMzMyMgAjMjMzMzMjMgBFVUVVVVRVVABFVVRVVUVVVABnd3dndnd3dgBnd3d2Z3d3dgCJmZmYiZmZmACJmZmJmJmZmACru7q7u6u7ugCru6u7u7q7ugDN3N3d3d3N3ADNzd3d3d3c3ADu////////7gDu7u7u7u7u7gXuQRWvTQmUAAAAAElFTkSuQmCC';
-			
-			createPDFObject(png8bit, 'Indexed base64 png', 'png');
-		}
 		
-		function createFrom8BitPngImg() {
-			
-			var img = document.getElementById('8_bit');
-			
-			createPDFObject(img, 'Indexed png <img>', 'png');
+		function displayImage(id) {
+			
+			var container = $('#container').empty();
+			
+			var imgWrap = $('<div>', {
+				class:'img-wrap'
+			}).appendTo(container); 
+			
+			var img = $('<img>', {
+				id:id, 
+				src:images[id]
+			}).appendTo(imgWrap);
+			
+			var label = id.replace(/_/g, " "),
+				format = label.split(" ").pop(),
+				btn,
+				data;
+			
+			for(btn in btns) {
+				
+				if(btn.indexOf('compress') === 0)
+					if(id.indexOf("colortype_6") === -1 && id.indexOf("colortype_4") === -1)
+						continue;
+				
+				data = btn === 'img' ? img.get(0) : images[id];
+				
+				$('<input>', {
+					type:'button',
+					value: btns[btn].label,
+					click: (function(btn, data){
+						return function(evt) {
+							var type = btn.replace(/_/g, " ")
+							createPDFObject(data, label + " " + type, format, btns[btn].compress);
+							}
+						})(btn, data)
+				}).appendTo(container);
+			}
 		}
 		
 		function createPDFObject(imgData, type, format, compress) {
-			
+
 			var doc = new jsPDF('p', 'pt', 'a4', false);
 	
 			doc.setFontSize(40);
 			doc.setDrawColor(0);
-			doc.setFillColor(255, 0, 0);
+			doc.setFillColor(238, 238, 238);
 			doc.rect(0, 0, 595.28,  841.89, 'F');
-			doc.text(35, 100, type + " test");
+			doc.text(35, 100, type);
 			doc.addImage(imgData, format, 100, 200, 280, 210, undefined, compress);
-			//doc.addImage(imgData, format, 100, 500, 280, 210, undefined, compress);
 			
-			doc.save( type + ' test.pdf')
+			doc.save( type + '.pdf')
 		}
 	
 	</script>
 	
-	<img id="jpg" src="images/jpg.jpg"/>
-  	<input type="button" value="Generate from base64 jpg" onclick="createFromBase64Jpeg()" />
-  	<input type="button" value="Generate from jpg <img>" onclick="createFromJpegImg()" />
-  	<br/>
-	<img id="32_bit" src="images/32_bit.png"/>
-  	<input type="button" value="Generate from 32 bit png" onclick="createFromBase6432BitPng()" />
-  	<input type="button" value="Generate from 32 bit <img>" onclick="createFrom32BitPngImg()" />
-  	<input type="button" value="Generate from 32 bit png and recompress" onclick="createFromBase6432BitPngCompressed()" />
-  	<br/>
-  	<img id="24_bit" src="images/24_bit.png"/>
-  	<input type="button" value="Generate from 24 bit png" onclick="createFromBase6424BitPng()" />
-  	<input type="button" value="Generate from 24 bit <img>" onclick="createFrom24BitPngImg()" />
-  	<br/>
-  	<img id="8_bit" src="images/png8_trans.png"/>
-  	<input type="button" value="Generate from Indexed png" onclick="createFromBase648BitPng()" />
-  	<input type="button" value="Generate from Indexed <img>" onclick="createFrom8BitPngImg()" />
-  	<br/>
   </body>
   
 </html>
\ No newline at end of file
diff --git a/examples/images/RGBA_16bpc.png b/examples/images/RGBA_16bpc.png
new file mode 100644
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diff --git a/jspdf.plugin.addimage.js b/jspdf.plugin.addimage.js
index 76bdb20dc..98a36f5d3 100644
--- a/jspdf.plugin.addimage.js
+++ b/jspdf.plugin.addimage.js
@@ -1,5 +1,5 @@
 /** @preserve 
- * jsPDF addImage plugin (JPEG only at this time)
+ * jsPDF addImage plugin
  * Copyright (c) 2012 Jason Siefken, https://github.com/siefkenj/
  *               2013 Chris Dowling, https://github.com/gingerchris
  *               2013 Trinh Ho, https://github.com/ineedfat
@@ -47,13 +47,14 @@
 		out('/Subtype /Image')
 		out('/Width ' + img['w'])
 		out('/Height ' + img['h'])
-		if (img['cs'] === 'Indexed') {
+		if (img['cs'] === this.color_spaces.INDEXED) {
 			out('/ColorSpace [/Indexed /DeviceRGB '
-					+ (img['pal'].length / 3 - 1) + ' ' + (objectNumber + 1)
+					// if an indexed png defines more than one colour with transparency, we've created a smask  
+					+ (img['pal'].length / 3 - 1) + ' ' + ('smask' in img ? objectNumber + 2 : objectNumber + 1)
 					+ ' 0 R]');
 		} else {
 			out('/ColorSpace /' + img['cs']);
-			if (img['cs'] === 'DeviceCMYK') {
+			if (img['cs'] === this.color_spaces.DEVICE_CMYK) {
 				out('/Decode [1 0 1 0 1 0 1 0]');
 			}
 		}
@@ -65,8 +66,10 @@
 			out('/DecodeParms <<' + img['dp'] + '>>');
 		}
 		if ('trns' in img && img['trns'].constructor == Array) {
-			var trns = '';
-			for ( var i = 0; i < img['trns'].length; i++)
+			var trns = '',
+				i = 0,
+				len = img['trns'].length;
+			for (; i < len; i++)
 				trns += (img['trns'][i] + ' ' + img['trns'][i] + ' ');
 			out('/Mask [' + trns + ']');
 		}
@@ -81,15 +84,15 @@
 		
 		// Soft mask
 		if ('smask' in img) {
-			var dp = '/Predictor 15 /Colors 1 /BitsPerComponent 8 /Columns ' + img['w'];
-			var smask = {'w': img['w'], 'h': img['h'], 'cs': 'DeviceGray', 'bpc': 8, 'dp': dp, 'data': img['smask']};
-			//if ('f' in img) 
-				//smask.f = img['f'];
+			var dp = '/Predictor 15 /Colors 1 /BitsPerComponent ' + img['bpc'] + ' /Columns ' + img['w'];
+			var smask = {'w': img['w'], 'h': img['h'], 'cs': 'DeviceGray', 'bpc': img['bpc'], 'dp': dp, 'data': img['smask']};
+			if ('f' in img) 
+				smask.f = img['f'];
 			putImage.call(this, smask);
 		}
 	    
 	    //Palette
-		if (img['cs'] === 'Indexed') {
+		if (img['cs'] === this.color_spaces.INDEXED) {
 			
 			this.internal.newObject();
 			//out('<< /Filter / ' + img['f'] +' /Length ' + img['pal'].length + '>>');
@@ -119,6 +122,11 @@
 			)
 		}
 	}
+	, checkCompressValue = function(value) {
+		if(value && typeof value === 'string')
+			value = value.toUpperCase();
+		return value in jsPDFAPI.image_compression ? value : jsPDFAPI.image_compression.NONE;
+	}
 	, getImages = function() {
 		var images = this.internal.collections[namespace + 'images'];
 		//first run, so initialise stuff
@@ -232,19 +240,46 @@
 	
 	
 	/**
-	 * COLOR SPACE
+	 * COLOR SPACES
+	 */
+	jsPDFAPI.color_spaces = {
+		DEVICE_RGB:'DeviceRGB',
+		DEVICE_GRAY:'DeviceGray',
+		DEVICE_CMYK:'DeviceCMYK',
+		CAL_GREY:'CalGray',
+		CAL_RGB:'CalRGB',
+		LAB:'Lab',
+		ICC_BASED:'ICCBased',
+		INDEXED:'Indexed',
+		PATTERN:'Pattern',
+		SEPERATION:'Seperation',
+		DEVICE_N:'DeviceN'
+	};
+	
+	/**
+	 * DECODE METHODS
 	 */
-	jsPDFAPI.DEVICE_RGB = 'DeviceRGB';
-	jsPDFAPI.DEVICE_GRAY = 'DeviceGray';
-	jsPDFAPI.DEVICE_CMYK = 'DeviceCMYK';
-	jsPDFAPI.INDEXED = 'Indexed';
+	jsPDFAPI.decode = {
+		DCT_DECODE:'DCTDecode',
+		FLATE_DECODE:'FlateDecode',
+		LZW_DECODE:'LZWDecode',
+		JPX_DECODE:'JPXDecode',
+		JBIG2_DECODE:'JBIG2Decode',
+		ASCII85_DECODE:'ASCII85Decode',
+		ASCII_HEX_DECODE:'ASCIIHexDecode',
+		RUN_LENGTH_DECODE:'RunLengthDecode',
+		CCITT_FAX_DECODE:'CCITTFaxDecode'
+	};
 	
 	/**
-	 * COMPRESSION METHODS
+	 * IMAGE COMPRESSION TYPES
 	 */
-	jsPDFAPI.DCT_DECODE = 'DCTDecode';
-	jsPDFAPI.FLATE_DECODE = 'FlateDecode';
-	jsPDFAPI.LZW_DECODE = 'LZWDecode';
+	jsPDFAPI.image_compression = {
+		NONE: 'NONE',
+		FAST: 'FAST',
+		MEDIUM: 'MEDIUM',
+		SLOW: 'SLOW'
+	};
 	
 	
 	jsPDFAPI.isString = function(object) {
@@ -333,6 +368,7 @@
 	jsPDFAPI.arrayBufferToBinaryString = function(buffer) {
 		if(this.isArrayBuffer(buffer))
 			buffer = new Uint8Array(buffer);
+		
 	    var binary_string = '';
 	    var len = buffer.byteLength;
 	    for (var i = 0; i < len; i++) {
@@ -342,7 +378,7 @@
 	    /*
 	     * Another solution is the method below - convert array buffer straight to base64 and then use atob
 	     */
-		//return atob(arrayBufferToBase64(array_buffer));
+		//return atob(this.arrayBufferToBase64(buffer));
 	};
 	
 	/**
@@ -429,7 +465,7 @@
 		return info;
 	};
 	
-	jsPDFAPI.addImage = function(imageData, format, x, y, w, h, alias, compress) {
+	jsPDFAPI.addImage = function(imageData, format, x, y, w, h, alias, compression) {
 		'use strict'
 		
 		if(typeof format === 'number') {
@@ -444,8 +480,8 @@
 		var images = getImages.call(this),//initalises internals and events on first run
 			cached_info,
 			dataAsBinaryString;
-	
-		compress = compress || false;
+		
+		compression = checkCompressValue(compression);
 		format = format.toLowerCase();
 		
 		if(notDefined(alias))
@@ -489,7 +525,7 @@
 			info = cached_info;
 
 		if(!info)			
-			info = this['process' + format.toUpperCase()](imageData, imageIndex, alias, compress, dataAsBinaryString);
+			info = this['process' + format.toUpperCase()](imageData, imageIndex, alias, compression, dataAsBinaryString);
 		
 		if(!info)
 			throw new Error('An unkwown error occurred whilst processing the image');
@@ -548,10 +584,10 @@
 	};
 	
 	
-	jsPDFAPI.processJPEG = function(data, index, alias, compress, dataAsBinaryString) {
+	jsPDFAPI.processJPEG = function(data, index, alias, compression, dataAsBinaryString) {
 		'use strict'
-		var colorSpace = this.DEVICE_RGB,
-			filter = this.DCT_DECODE,
+		var colorSpace = this.color_spaces.DEVICE_RGB,
+			filter = this.decode.DCT_DECODE,
 			bpc = 8,
 			dims;
 		
@@ -579,8 +615,8 @@
 		return null;
 	};
 	
-	jsPDFAPI.processJPG = function(data, index, alias, compress, dataAsBinaryString) {
-		return this.processJPEG(data, index, alias, compress, dataAsBinaryString);
+	jsPDFAPI.processJPG = function(data, index, alias, compression, dataAsBinaryString) {
+		return this.processJPEG(data, index, alias, compression, dataAsBinaryString);
 	}
 
 })(jsPDF.API);
diff --git a/jspdf.plugin.png_support.js b/jspdf.plugin.png_support.js
index 235b65e55..391ab70f0 100755
--- a/jspdf.plugin.png_support.js
+++ b/jspdf.plugin.png_support.js
@@ -1,6 +1,7 @@
-/** ==================================================================== 
+/**@preserve
+ *  ==================================================================== 
  * jsPDF [NAME] plugin
- * Copyright (c) 2013 [YOUR NAME HERE] [WAY TO CONTACT YOU HERE]
+ * Copyright (c) 2014 James Robb, https://github.com/jamesbrobb
  * 
  * Permission is hereby granted, free of charge, to any person obtaining
  * a copy of this software and associated documentation files (the
@@ -54,7 +55,8 @@
 	 * 
 	 * This is what the value 'Predictor' in decode params relates to
 	 * 
-	 * 15 is "optimal prediction", which means the prediction algorithm can change from line to line. In that case, you actually have to read the first byte off each line for the prediction algorthim (which should be 0-4, corresponding to PDF 10-14) and select the appropriate unprediction algorithm based on that byte
+	 * 15 is "optimal prediction", which means the prediction algorithm can change from line to line.
+	 * In that case, you actually have to read the first byte off each line for the prediction algorthim (which should be 0-4, corresponding to PDF 10-14) and select the appropriate unprediction algorithm based on that byte.
 	 *
 	   0       None
 	   1       Sub
@@ -66,36 +68,252 @@
 	var doesNotHavePngJS = function() {
 		return typeof PNG !== 'function' || typeof FlateStream !== 'function';
 	}
+	, canCompress = function(value) {
+		return value !== jsPDFAPI.image_compression.NONE && hasCompressionJS();
+	}
 	, hasCompressionJS = function() {
-		var inst = typeof zpipe === 'object';
+		var inst = typeof Deflater === 'function';
 		if(!inst)
-			console.log("requires zpipe.js for compression")
+			throw new Error("requires deflate.js for compression")
 		return inst;
 	}
-	, compressBytes = function(bytes, width, colors) {
+	, compressBytes = function(bytes, lineLength, colorsPerPixel, compression) {
 		
-		bytes = applyPngFilterMethod(bytes, width, colors);
+		var level = 5,
+			filter_method = filterUp;
 		
-		return zpipe.deflate(this.arrayBufferToBinaryString(bytes));
-	}
-	, applyPngFilterMethod = function(bytes, width, colors){
+		switch(compression) {
+		
+			case jsPDFAPI.image_compression.FAST:
+				
+				level = 3;
+				filter_method = filterSub;
+				break;
+				
+			case jsPDFAPI.image_compression.MEDIUM:
+				
+				level = 6;
+				filter_method = filterAverage;
+				break;
+				
+			case jsPDFAPI.image_compression.SLOW:
+				
+				level = 9;
+				filter_method = filterPaeth;//uses to sum to choose best filter for each line
+				break;
+		}
+		
+		bytes = applyPngFilterMethod(bytes, lineLength, colorsPerPixel, filter_method);
+		
+		var header = new Uint8Array(createZlibHeader(level));
+		var checksum = adler32(bytes);
+		
+		var deflate = new Deflater(level);
+		var a = deflate.append(bytes);
+		var cBytes = deflate.flush();
 		
+		var len = header.length + a.length + cBytes.length;
+		
+		var cmpd = new Uint8Array(len + 4);
+		cmpd.set(header);
+		cmpd.set(a, header.length);
+		cmpd.set(cBytes, header.length + a.length);
+		
+		cmpd[len++] = (checksum >>> 24) & 0xff;
+		cmpd[len++] = (checksum >>> 16) & 0xff;
+		cmpd[len++] = (checksum >>> 8) & 0xff;
+		cmpd[len++] = checksum & 0xff;
+		
+		return jsPDFAPI.arrayBufferToBinaryString(cmpd);
+	}
+	, createZlibHeader = function(bytes, level){
 		/*
-		 * TODO - this is only filter method 0 - None
-		 * 
-		 * implement all 5
+		 * @see http://www.ietf.org/rfc/rfc1950.txt for zlib header 
 		 */
-		var lines = bytes.length / (width * colors),
-			arr = new Uint8Array(bytes.length + lines),
-			i = 0, offset;
+		var cm = 8;
+        var cinfo = Math.LOG2E * Math.log(0x8000) - 8;
+        var cmf = (cinfo << 4) | cm;
+        
+        var hdr = cmf << 8;
+        var flevel = Math.min(3, ((level - 1) & 0xff) >> 1);
+        
+        hdr |= (flevel << 6);
+        hdr |= 0;//FDICT
+        hdr += 31 - (hdr % 31);
+        
+        return [cmf, (hdr & 0xff) & 0xff];
+	}
+	, adler32 = function(array, param) {
+		var adler = 1;
+	    var s1 = adler & 0xffff,
+	        s2 = (adler >>> 16) & 0xffff;
+	    var len = array.length;
+	    var tlen;
+	    var i = 0;
+
+	    while (len > 0) {
+	      tlen = len > param ? param : len;
+	      len -= tlen;
+	      do {
+	        s1 += array[i++];
+	        s2 += s1;
+	      } while (--tlen);
+
+	      s1 %= 65521;
+	      s2 %= 65521;
+	    }
+
+	    return ((s2 << 16) | s1) >>> 0;
+	}
+	, applyPngFilterMethod = function(bytes, lineLength, colorsPerPixel, filter_method) {
+		var lines = bytes.length / lineLength,
+			result = new Uint8Array(bytes.length + lines),
+			filter_methods = getFilterMethods(),
+			i = 0, line, prevLine, offset;
 		
 		for(; i < lines; i++) {
-			offset = i * width * colors;
-			arr[offset + i] = 0;
-			arr.set(bytes.subarray(offset, (offset + width ) * colors), offset + i + 1);
+			offset = i * lineLength;
+			line = bytes.subarray(offset, offset + lineLength);
+			
+			if(filter_method) {
+				result.set(filter_method(line, colorsPerPixel, prevLine), offset + i);
+				
+			}else{
+			
+				var j = 0,
+					len = filter_methods.length,
+					results = [];
+				
+				for(; j < len; j++)
+					results[j] = filter_methods[j](line, colorsPerPixel, prevLine);
+				
+				var ind = getIndexOfSmallestSum(results.concat());
+				
+				result.set(results[ind], offset + i);
+			}
+			
+			prevLine = line;
+		}
+		
+		return result;
+	}
+	, filterNone = function(line, colorsPerPixel, prevLine) {
+		/*var result = new Uint8Array(line.length + 1);
+		result[0] = 0;
+		result.set(line, 1);*/
+		
+		var result = Array.apply([], line);
+		result.unshift(0);
+
+		return result;
+	}
+	, filterSub = function(line, colorsPerPixel, prevLine) {
+		var result = [],
+			i = 0,
+			len = line.length,
+			left;
+		
+		result[0] = 1;
+		
+		for(; i < len; i++) {
+			left = line[i - colorsPerPixel] || 0;
+			result[i + 1] = (line[i] - left + 0x0100) & 0xff;
+		}
+		
+		return result;
+	}
+	, filterUp = function(line, colorsPerPixel, prevLine) {
+		var result = [],
+			i = 0,
+			len = line.length,
+			up;
+		
+		result[0] = 2;
+		
+		for(; i < len; i++) {
+			up = prevLine && prevLine[i] || 0;
+			result[i + 1] = (line[i] - up + 0x0100) & 0xff;
+		}
+		
+		return result;
+	}
+	, filterAverage = function(line, colorsPerPixel, prevLine) {
+		var result = [],
+			i = 0,
+			len = line.length,
+			left,
+			up;
+	
+		result[0] = 3;
+		
+		for(; i < len; i++) {
+			left = line[i - colorsPerPixel] || 0;
+			up = prevLine && prevLine[i] || 0;
+			result[i + 1] = (line[i] + 0x0100 - ((left + up) >>> 1)) & 0xff;
+		}
+		
+		return result;
+	}
+	, filterPaeth = function(line, colorsPerPixel, prevLine) {
+		var result = [],
+			i = 0,
+			len = line.length,
+			left,
+			up,
+			upLeft,
+			paeth;
+		
+		result[0] = 4;
+		
+		for(; i < len; i++) {
+			left = line[i - colorsPerPixel] || 0;
+			up = prevLine && prevLine[i] || 0;
+			upLeft = prevLine && prevLine[i - colorsPerPixel] || 0;
+			paeth = paethPredictor(left, up, upLeft);
+			result[i + 1] = (line[i] - paeth + 0x0100) & 0xff;
 		}
 		
-		return arr;
+		return result;
+	}
+	,paethPredictor = function(left, up, upLeft) {
+
+		var p = left + up - upLeft,
+	        pLeft = Math.abs(p - left),
+	        pUp = Math.abs(p - up),
+	        pUpLeft = Math.abs(p - upLeft);
+		
+		return (pLeft <= pUp && pLeft <= pUpLeft) ? left : (pUp <= pUpLeft) ? up : upLeft;
+	}
+	, getFilterMethods = function() {
+		return [filterNone, filterSub, filterUp, filterAverage, filterPaeth];
+	}
+	,getIndexOfSmallestSum = function(arrays) {
+		var i = 0,
+			len = arrays.length,
+			sum, min, ind;
+		
+		while(i < len) {
+			sum = absSum(arrays[i].slice(1));
+			
+			if(sum < min || !min) {
+				min = sum;
+				ind = i;
+			}
+			
+			i++;
+		}
+		
+		return ind;
+	}
+	, absSum = function(array) {
+		var i = 0,
+			len = array.length,
+			sum = 0;
+	
+		while(i < len)
+			sum += Math.abs(array[i++]);
+			
+		return sum;
 	}
 	, logImg = function(img) {
 		console.log("width: " + img.width);
@@ -122,11 +340,11 @@
 	
 	
 	
-	jsPDFAPI.processPNG = function(imageData, imageIndex, alias, compress, dataAsBinaryString) {
+	jsPDFAPI.processPNG = function(imageData, imageIndex, alias, compression, dataAsBinaryString) {
 		'use strict'
 		
-		var colorSpace = this.DEVICE_RGB,
-			compression = this.FLATE_DECODE,
+		var colorSpace = this.color_spaces.DEVICE_RGB,
+			decode = this.decode.FLATE_DECODE,
 			bpc = 8,
 			img, dp, trns,
 			colors, pal, smask;
@@ -146,68 +364,151 @@
 			img = new PNG(imageData);
 			imageData = img.imgData;
 			bpc = img.bits;
-			colorSpace = img.colorType != 3 ? img.colorSpace : this.INDEXED;
+			colorSpace = img.colorSpace;
 			colors = img.colors;
 			
 			//logImg(img);
 			
 			/*
-			 * we need to extract alpha layer and add it as a smask
+			 * colorType 6 - Each pixel is an R,G,B triple, followed by an alpha sample.
+			 * 
+			 * colorType 4 - Each pixel is a grayscale sample, followed by an alpha sample.
+			 * 
+			 * Extract alpha to create two separate images, using the alpha as a sMask
 			 */
-			if(img.colorType === 6 &&
-			   img.pixelBitlength === 32) {
-				
-				var pixels = new Uint32Array(img.decodePixels().buffer),
-					len = pixels.length,
-					colorData = new Uint8Array(len * 3),
-					transData = new Uint8Array(len),
-					pixel,
-					i = 0,
-					n = 0;
-				
-				for(; i < len; i++) {
-					pixel = pixels[i];
+			if([4,6].indexOf(img.colorType) !== -1) {
+				
+				/*
+				 * processes 8 bit RGBA and grayscale + alpha images
+				 */
+				if(img.bits === 8) {
+				
+					var pixelsArrayType = window['Uint' + img.pixelBitlength + 'Array'],
+						pixels = new pixelsArrayType(img.decodePixels().buffer),
+						len = pixels.length,
+						imgData = new Uint8Array(len * img.colors),
+						alphaData = new Uint8Array(len),
+						pDiff = img.pixelBitlength - img.bits,
+						i = 0, n = 0, pixel, pbl;
+				
+					for(; i < len; i++) {
+						pixel = pixels[i];
+						pbl = 0;
+						
+						while(pbl < pDiff) {
+							
+							imgData[n++] = ( pixel >>> pbl ) & 0xff;
+							pbl = pbl + img.bits;
+						}
+						
+						alphaData[i] = ( pixel >>> pbl ) & 0xff;
+					}
+				}
+				
+				/*
+				 * processes 16 bit RGBA and grayscale + alpha images
+				 */
+				if(img.bits === 16) {
 					
-					colorData[n++] = ( pixel >> 0 ) & 0xff;
-					colorData[n++] = ( pixel >> 8 ) & 0xff;
-					colorData[n++] = ( pixel >> 16 ) & 0xff;
+					var pixels = new Uint32Array(img.decodePixels().buffer),
+						len = pixels.length,
+						imgData = new Uint8Array((len * (32 / img.pixelBitlength) ) * img.colors),
+						alphaData = new Uint8Array(len * (32 / img.pixelBitlength) ),
+						hasColors = img.colors > 1,
+						i = 0, n = 0, a = 0, pixel;
 					
-					transData[i] = ( pixel >> 24 ) & 0xff;
+					while(i < len) {
+						pixel = pixels[i++];
+						
+						imgData[n++] = (pixel >>> 0) & 0xFF;
+						
+						if(hasColors) {
+							imgData[n++] = (pixel >>> 16) & 0xFF;
+							
+							pixel = pixels[i++];
+							imgData[n++] = (pixel >>> 0) & 0xFF;
+						}
+						
+						alphaData[a++] = (pixel >>> 16) & 0xFF;
+					}
+					
+					bpc = 8;
 				}
 				
-				if(compress && hasCompressionJS()) {
+				if(canCompress(compression)) {
 										
-					imageData = compressBytes.call(this, colorData, img.width, img.colors);
-					//smask = compressBytes.call(this, transData);
-					smask = this.arrayBufferToBinaryString(transData);
-					compression = this.FLATE_DECODE;
+					imageData = compressBytes(imgData, img.width * img.colors, img.colors, compression);
+					smask = compressBytes(alphaData, img.width, 1, compression);
 					
 				}else{
 					
-					imageData = colorData;
-					smask = this.arrayBufferToBinaryString(transData);
-					compression = null;
+					imageData = imgData;
+					smask = alphaData;
+					decode = null;
+				}
+			}
+			
+			/*
+			 * Indexed png. Each pixel is a palette index.
+			 */
+			if(img.colorType === 3) {
+				
+				colorSpace = this.color_spaces.INDEXED;
+				pal = img.palette;
+				
+				if(img.transparency.indexed) {
+					
+					var trans = img.transparency.indexed;
+					
+					var total = 0,
+						i = 0,
+						len = trans.length;
+
+					for(; i<len; ++i)
+					    total += trans[i];
+					
+					total = total / 255;
+					
+					/*
+					 * a single color is specified as 100% transparent (0),
+					 * so we set trns to use a /Mask with that index
+					 */
+					if(total === len - 1 && trans.indexOf(0) !== -1) {
+						trns = [trans.indexOf(0)];
+					
+					/*
+					 * there's more than one colour within the palette that specifies
+					 * a transparency value less than 255, so we unroll the pixels to create an image sMask
+					 */
+					}else if(total !== len){
+						
+						var pixels = img.decodePixels(),
+							alphaData = new Uint8Array(pixels.length),
+							i = 0,
+							len = pixels.length;
+						
+						for(; i < len; i++)
+							alphaData[i] = trans[pixels[i]];
+						
+						smask = compressBytes(alphaData, img.width, 1);
+					}
 				}
 			}
 			
-			if(compression === this.FLATE_DECODE)
+			if(decode === this.decode.FLATE_DECODE)
 				dp = '/Predictor 15 /Colors '+ colors +' /BitsPerComponent '+ bpc +' /Columns '+ img.width;
 			else
 				//remove 'Predictor' as it applies to the type of png filter applied to its IDAT - we only apply with compression
 				dp = '/Colors '+ colors +' /BitsPerComponent '+ bpc +' /Columns '+ img.width;
 			
-			if(img.palette && img.palette.length > 0)
-				pal = img.palette;
-			
-			//I'm not sure the output from png.js is correct for this
-			/*if(img.transparency.indexed)
-				trns = img.transparency.indexed;*/
-			
 			if(this.isArrayBuffer(imageData) || this.isArrayBufferView(imageData))
 				imageData = this.arrayBufferToBinaryString(imageData);
 			
+			if(smask && this.isArrayBuffer(smask) || this.isArrayBufferView(smask))
+				smask = this.arrayBufferToBinaryString(smask);
+			
 			return this.createImageInfo(imageData, img.width, img.height, colorSpace,
-										bpc, compression, imageIndex, alias, dp, trns, pal, smask);
+										bpc, decode, imageIndex, alias, dp, trns, pal, smask);
 		}
 		
 		return info;
diff --git a/libs/png_support/png.js b/libs/png_support/png.js
index 83be09ee9..590ad2f3a 100755
--- a/libs/png_support/png.js
+++ b/libs/png_support/png.js
@@ -59,7 +59,7 @@
     APNG_BLEND_OP_OVER = 1;
 
     function PNG(data) {
-      var chunkSize, colors, delayDen, delayNum, frame, i, index, key, section, short, text, _i, _j, _ref;
+      var chunkSize, colors, palLen, delayDen, delayNum, frame, i, index, key, section, short, text, _i, _j, _ref;
       this.data = data;
       this.pos = 8;
       this.palette = [];
@@ -131,7 +131,15 @@
             this.transparency = {};
             switch (this.colorType) {
               case 3:
+            	palLen = this.palette.length/3;
                 this.transparency.indexed = this.read(chunkSize);
+                if(this.transparency.indexed.length > palLen)
+                	throw new Error('More transparent colors than palette size');
+                /*
+                 * According to the PNG spec trns should be increased to the same size as palette if shorter
+                 */
+                //short = 255 - this.transparency.indexed.length;
+                short = palLen - this.transparency.indexed.length;
                 if (short > 0) {
                   for (i = _j = 0; 0 <= short ? _j < short : _j > short; i = 0 <= short ? ++_j : --_j) {
                     this.transparency.indexed.push(255);
@@ -172,10 +180,6 @@
             this.colorSpace = (function() {
               switch (this.colors) {
                 case 1:
-                  //ADDED
-                  if(this.colorType == 3)
-                	  return 'Indexed';
-                  ////
                   return 'DeviceGray';
                 case 3:
                   return 'DeviceRGB';
diff --git a/libs/png_support/zpipe.min.js b/libs/png_support/zpipe.min.js
deleted file mode 100644
index a72971a23..000000000
--- a/libs/png_support/zpipe.min.js
+++ /dev/null
@@ -1,408 +0,0 @@
-!function(sb,Ab,Qa){"undefined"!==typeof module?module.exports=Qa(sb,Ab):"function"===typeof define&&"object"===typeof define.amd?define(Qa):Ab[sb]=Qa(sb,Ab)}("zpipe",this,function(sb,Ab){var Qa,Ra,yd,Jb,qc,Nc;function Cg(a){eval.call(null,a)}function Gb(a){Yb(a+":\n"+Error().stack);throw"Assertion: "+a;}function Hb(a,e){a||Gb("Assertion failed: "+e)}function qf(c,e,d){d=d||"i8";"*"===d[d.length-1]&&(d="i32");switch(d){case "i1":l[c]=e;break;case "i8":l[c]=e;break;case "i16":h[c>>1]=e;break;case "i32":a[c>>
-2]=e;break;case "i64":a[c>>2]=e;break;case "float":Kb[c>>2]=e;break;case "double":de[0]=e;a[c>>2]=Oc[0];a[c+4>>2]=Oc[1];break;default:Gb("invalid type for setValue: "+d)}}function E(a,e,d){var b,f;"number"===typeof a?(b=!0,f=a):(b=!1,f=a.length);var g="string"===typeof e?e:null,d=[Pc,fa.stackAlloc,fa.staticAlloc][void 0===d?u:d](Math.max(f,g?1:e.length));if(b)return Sb(d,0,f),d;b=0;for(var i;b<f;){var o=a[b];"function"===typeof o&&(o=fa.getFunctionIndex(o));i=g||e[b];0===i?b++:("i64"==i&&(i="i32"),
-qf(d+b,o,i),b+=fa.getNativeTypeSize(i))}return d}function Tb(a,e){for(var d="undefined"==typeof e,b="",f=0,g,i=String.fromCharCode(0);;){g=String.fromCharCode(y[a+f]);if(d&&g==i)break;b+=g;f+=1;if(!d&&f==e)break}return b}function ee(a){for(;0<a.length;){var e=a.shift(),d=e.func;"number"===typeof d&&(d=va[d]);d(void 0===e.arg?null:e.arg)}}function fe(a,e){return Array.prototype.slice.call(l.subarray(a,a+e))}function ge(a){for(var e=0;l[a+e];)e++;return e}function ob(a,e){for(var d=[],b=0;b<a.length;){var f=
-a.charCodeAt(b);255<f&&(f&=255);d.push(f);b+=1}e||d.push(0);return d}function he(a,e,d){for(var b=0;b<a.length;){var f=a.charCodeAt(b);255<f&&(f&=255);l[e+b]=f;b+=1}d||(l[e+b]=0)}function ie(c,e){var d,b=ma;ma+=32824;d=b>>2;var f=b+56,g=b+16440;a[d+8]=0;a[d+9]=0;a[d+10]=0;var i=je(b),o=0==(i|0);a:do if(o){var m=f|0,k=b+4|0,h=b|0;d=(b+16|0)>>2;var l=g|0,j=b+12|0;b:for(;;){var n=ke(m,1,16384,c);a[k>>2]=n;if(0!=(Eb(c)|0)){Lb(b);var x=-1;break a}var q=(n=0!=(Number(c in C.streams&&C.streams[c].eof)|0))?
-4:1;a[h>>2]=m;c:for(;;){a[d]=16384;a[j>>2]=l;var v=rf(b,q);-2==(v|0)&&Qc(s.__str1|0,75,s.___func___def|0,s.__str2|0);var t=16384-a[d]|0,t=(za(l,1,t,e)|0)==(t|0);do if(t&&0==(Eb(e)|0)){if(0==(a[d]|0))continue c;0==(a[k>>2]|0)||Qc(s.__str1|0,82,s.___func___def|0,s.__str3|0);if(!n)continue b;1!=(v|0)&&Qc(s.__str1|0,86,s.___func___def|0,s.__str4|0);Lb(b);x=0;break a}while(0);Lb(b);x=-1;break a}}}else x=i;while(0);ma=b;return x}function le(c,e){var d,b,f=ma;ma+=32824;b=f>>2;var g=f+56,i=f+16440;a[b+8]=
-0;a[b+9]=0;a[b+10]=0;b=f+4|0;a[b>>2]=0;var o=f|0;a[o>>2]=0;var m;if(0==(f|0))m=-2;else{a[f+24>>2]=0;m=f+32|0;var k=a[m>>2];0==(k|0)?(a[m>>2]=2,a[f+40>>2]=0,d=2):d=k;m=(f+36|0)>>2;0==(a[m]|0)&&(a[m]=4);k=f+40|0;d=va[d](a[k>>2],1,7116);if(0==(d|0))m=-4;else{var h=f+28|0;a[h>>2]=d;a[(d+52|0)>>2]=0;var l;if(0==(f|0))l=-2;else if(l=a[f+28>>2],0==(l|0))l=-2;else{var j=l+52|0,n=a[j>>2],x=l+36|0;0!=(n|0)&&15!=(a[x>>2]|0)&&(va[a[f+36>>2]](a[f+40>>2],n),a[(j|0)>>2]=0);a[(l+8|0)>>2]=1;a[x>>2]=15;l=sf(f)}0==
-(l|0)?m=0:(va[a[m]](a[k>>2],d),a[h>>2]=0,m=l)}}k=0==(m|0);a:do if(k){h=g|0;d=(f+16|0)>>2;l=i|0;j=f+12|0;n=0;b:for(;;){x=ke(h,1,16384,c);a[b>>2]=x;if(0==(Eb(c)|0)){x=0==(x|0);c:do if(x)var q=n;else{a[o>>2]=h;d:for(;;){a[d]=16384;a[j>>2]=l;var v=me(f);if(-2==v)Qc(s.__str1|0,133,s.___func___inf|0,s.__str2|0);else if(2==v){var t=-3;break b}else if(-3==v||-4==v){t=v;break b}var w=16384-a[d]|0,w=(za(l,1,w,e)|0)==(w|0);do if(w&&0==(Eb(e)|0)){if(0==(a[d]|0))continue d;if(1==(v|0)){q=1;break c}n=v;continue b}while(0);
-Rc(f);d=-1;break a}}while(0);Rc(f);d=1==(q|0)?0:-3;break a}Rc(f);d=-1;break a}Rc(f);d=t}else d=m;while(0);ma=f;return d}function tf(c){za(s.__str5|0,7,1,a[a[La>>2]+12>>2]);-1==c?(c=a[La>>2],0!=(Eb(a[c+4>>2])|0)&&(za(s.__str6|0,20,1,a[c+12>>2]),c=a[La>>2]),0!=(Eb(a[c+8>>2])|0)&&za(s.__str7|0,21,1,a[c+12>>2])):-2==c?za(s.__str8|0,26,1,a[a[La>>2]+12>>2]):-3==c?za(s.__str9|0,35,1,a[a[La>>2]+12>>2]):-4==c?za(s.__str10|0,14,1,a[a[La>>2]+12>>2]):-6==c&&za(s.__str11|0,23,1,a[a[La>>2]+12>>2])}function uf(c,
-e){var d;if(1==c){var b=a[La>>2],b=ie(a[b+4>>2],a[b+8>>2]);0==(b|0)?b=0:tf(b);d=7}else if(2==c){a:{for(d=0;d<Mb;){var f=l[a[e+4>>2]+d],g=l[(s.__str12|0)+d];if(f==g&&0==f)break;if(0==f){d=-1;break a}if(0==g){d=1;break a}if(f==g)d++;else{d=f>g?1:-1;break a}}d=0}0!=(d|0)?d=6:(b=a[La>>2],b=le(a[b+4>>2],a[b+8>>2]),0==(b|0)?b=0:tf(b),d=7)}else d=6;6==d&&(za(s.__str13|0,40,1,a[a[La>>2]+12>>2]),b=1);return b}function je(c){var e,d,b,f=0==(c|0);a:do if(f)var g=-2;else{g=c+24|0;a[g>>2]=0;b=(c+32|0)>>2;var i=
-a[b];0==(i|0)&&(a[b]=2,a[c+40>>2]=0,i=2);var o=c+36|0;0==(a[o>>2]|0)&&(a[o>>2]=4);d=(c+40|0)>>2;i=va[i](a[d],1,5828);if(0!=(i|0)){a[c+28>>2]=i;a[i>>2]=c;a[(i+24|0)>>2]=1;a[(i+28|0)>>2]=0;a[(i+48|0)>>2]=15;e=(i+44|0)>>2;a[e]=32768;a[(i+52|0)>>2]=32767;a[(i+80|0)>>2]=15;var m=i+76|0;a[m>>2]=32768;a[(i+84|0)>>2]=32767;a[(i+88|0)>>2]=5;var h=va[a[b]](a[d],32768,2),o=i+56|0;a[o>>2]=h;var j=va[a[b]](a[d],a[e],2),h=i+64|0;a[h>>2]=j;Sb(j,0,a[e]<<1,1);m=va[a[b]](a[d],a[m>>2],2);e=i+68|0;a[e>>2]=m;a[(i+5824|
-0)>>2]=0;m=i+5788|0;a[m>>2]=16384;d=b=va[a[b]](a[d],16384,4);a[(i+8|0)>>2]=b;m=k[m>>2];a[(i+12|0)>>2]=m<<2;o=0==(a[o>>2]|0);do if(!o&&0!=(a[h>>2]|0)&&!(0==(a[e>>2]|0)|0==(b|0))){a[(i+5796|0)>>2]=(m>>>1<<1)+d|0;a[(i+5784|0)>>2]=b+3*m|0;a[(i+132|0)>>2]=6;a[(i+136|0)>>2]=0;l[i+36|0]=8;g=ne(c);break a}while(0);a[(i+4|0)>>2]=666;a[g>>2]=s.__str664|0;Lb(c)}g=-4}while(0);return g}function Lb(c){var e,d,b=c>>2;if(0!=(c|0)&&(d=(c+28|0)>>2,e=a[d],0!=(e|0))){var f=a[e+4>>2];if(666==f||113==f||103==f||91==f||
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-2]=a[c+8>>2];var d=c+24|0,b=a[d>>2];0>(b|0)&&(b=-b|0,a[d>>2]=b);d=b;a[(c+4|0)>>2]=0!=(d|0)?42:113;d=2==(d|0)?oa(0,0,0):kc(0,0,0);a[e+12]=d;a[(c+40|0)>>2]=0;a[c+2840>>2]=c+148|0;a[c+2848>>2]=Sc;a[c+2852>>2]=c+2440|0;a[c+2860>>2]=Tc;a[c+2864>>2]=c+2684|0;a[c+2872>>2]=Uc;h[c+5816>>1]=0;a[c+5820>>2]=0;a[c+5812>>2]=8;Vc(c);oe(c);e=0}return e}function oe(c){var e=c>>2;a[e+15]=a[e+11]<<1;var d=c+76|0,c=c+68|0;h[a[c>>2]+(a[d>>2]-1<<1)>>1]=0;Sb(a[c>>2],0,(a[d>>2]<<1)-2|0,1);d=k[e+33];a[e+32]=p[(Ub+2>>1)+(6*
-d|0)]&65535;a[e+35]=p[(Ub>>1)+(6*d|0)]&65535;a[e+36]=p[(Ub+4>>1)+(6*d|0)]&65535;a[e+31]=p[(Ub+6>>1)+(6*d|0)]&65535;a[e+27]=0;a[e+23]=0;a[e+29]=0;a[e+30]=2;a[e+24]=2;a[e+28]=0;a[e+26]=0;a[e+18]=0}function rf(c,e){var d,b,f,g,i,o,m,ia,j,L,A,n,x,q,v,t,w,O,da,p,ga,z,r,J,F,u,B,E,C,K,D,G=c>>2,M,Q=0==(c|0);a:do if(Q)var Ma=-2;else{var N=k[G+7];D=N>>2;if(!(0==(N|0)|5<e>>>0)){var X=0==(a[G+3]|0);do if(!X&&!(0==(a[G]|0)&&0!=(a[G+1]|0))){K=(N+4|0)>>2;var cb=k[K],db=4==(e|0);if(666!=(cb|0)|db){C=(c+16|0)>>2;
-if(0==(a[C]|0)){a[G+6]=s.__str765|0;Ma=-5;break a}a[D]=c;E=(N+40|0)>>2;var ya=a[E];a[E]=e;if(42==(cb|0))if(2!=(a[D+6]|0)){var ma=(a[D+12]<<12)-30720|0;if(1<(a[D+34]|0))var Z=0;else var lc=a[D+33],Z=2>(lc|0)?0:6>(lc|0)?64:6==(lc|0)?128:192;var fa=Z|ma,Na=N+108|0,tb=0==(a[Na>>2]|0)?fa:fa|32,Aa=tb|31-(tb>>>0)%31;a[K]=113;Zb(N,Aa);B=(c+48|0)>>2;0!=(a[Na>>2]|0)&&(Zb(N,k[B]>>>16),Zb(N,a[B]&65535));var Xa=kc(0,0,0);a[B]=Xa;var Ia=a[K];M=31}else{var Da=oa(0,0,0);u=(c+48|0)>>2;a[u]=Da;F=(N+20|0)>>2;var Ya=
-a[F];a[F]=Ya+1|0;J=(N+8|0)>>2;l[a[J]+Ya|0]=31;var Sa=a[F];a[F]=Sa+1|0;l[a[J]+Sa|0]=-117;var vf=a[F];a[F]=vf+1|0;l[a[J]+vf|0]=8;var Ta=N+28|0;r=Ta>>2;var jb=k[r];z=jb>>2;if(0==(jb|0)){var eb=a[F];a[F]=eb+1|0;l[a[J]+eb|0]=0;var rc=a[F];a[F]=rc+1|0;l[a[J]+rc|0]=0;var Ua=a[F];a[F]=Ua+1|0;l[a[J]+Ua|0]=0;var mc=a[F];a[F]=mc+1|0;l[a[J]+mc|0]=0;var Ba=a[F];a[F]=Ba+1|0;l[a[J]+Ba|0]=0;var Oa=a[D+33],Za=9==(Oa|0)?2:1<(a[D+34]|0)?4:2>(Oa|0)?4:0,$a=a[F];a[F]=$a+1|0;l[a[J]+$a|0]=Za;var kb=a[F];a[F]=kb+1|0;l[a[J]+
-kb|0]=3;a[K]=113;M=92}else{var fb=(0!=(a[z+11]|0)?2:0)|0!=(a[z]|0)&1|(0==(a[z+4]|0)?0:4)|(0==(a[z+7]|0)?0:8)|(0==(a[z+9]|0)?0:16),pb=a[F];a[F]=pb+1|0;l[a[J]+pb|0]=fb;var lb=a[a[r]+4>>2]&255,P=a[F];a[F]=P+1|0;l[a[J]+P|0]=lb;var aa=k[a[r]+4>>2]>>>8&255,$=k[F];a[F]=$+1|0;l[a[J]+$|0]=aa;var qa=k[a[r]+4>>2]>>>16&255,H=k[F];a[F]=H+1|0;l[a[J]+H|0]=qa;var ba=k[a[r]+4>>2]>>>24&255,V=k[F];a[F]=V+1|0;l[a[J]+V|0]=ba;var I=a[D+33],sa=9==(I|0)?2:1<(a[D+34]|0)?4:2>(I|0)?4:0,ub=a[F];a[F]=ub+1|0;l[a[J]+ub|0]=sa;var ha=
-a[a[r]+12>>2]&255,ja=a[F];a[F]=ja+1|0;l[a[J]+ja|0]=ha;var ka=k[r];if(0==(a[ka+16>>2]|0))var W=ka;else{var na=a[ka+20>>2]&255,ra=a[F];a[F]=ra+1|0;l[a[J]+ra|0]=na;var pa=k[a[r]+20>>2]>>>8&255,la=k[F];a[F]=la+1|0;l[a[J]+la|0]=pa;W=a[r]}if(0!=(a[W+44>>2]|0)){var ua=oa(a[u],a[J],a[F]);a[u]=ua}a[D+8]=0;a[K]=69;var Va=Ta;ga=Va>>2;M=33}}else Ia=cb,M=31;if(31==M)if(69!=(Ia|0)){var Fa=Ia;M=50}else Va=N+28|0,ga=Va>>2,M=33;do if(33==M){var ab=k[ga];if(0==(a[ab+16>>2]|0)){a[K]=73;var T=ab;M=52}else{p=(N+20|0)>>
-2;da=(N+32|0)>>2;var Y=N+12|0;O=(c+48|0)>>2;w=(N+8|0)>>2;for(var U=a[p],ca=a[da],ea=ab;;){if(ca>>>0>=(a[ea+20>>2]&65535)>>>0){var S=U,Ea=ea;break}var gb=k[p];if((gb|0)==(a[Y>>2]|0)){if(0!=(a[ea+44>>2]|0)&gb>>>0>U>>>0){var vb=oa(a[O],a[w]+U|0,gb-U|0);a[O]=vb}ta(c);var Wa=k[p];if((Wa|0)==(a[Y>>2]|0)){S=Wa;Ea=a[ga];break}var Ga=Wa,hb=Wa,qe=a[da],Wc=a[ga]}else Ga=U,hb=gb,qe=ca,Wc=ea;var mb=l[a[Wc+16>>2]+qe|0];a[p]=hb+1|0;l[a[w]+hb|0]=mb;var wb=a[da]+1|0;a[da]=wb;U=Ga;ca=wb;ea=a[ga]}if(0==(a[Ea+44>>2]|
-0))var qb=Ea;else{var yb=k[p];if(yb>>>0<=S>>>0)qb=Ea;else{var ib=oa(a[O],a[w]+S|0,yb-S|0);a[O]=ib;qb=a[ga]}}(a[da]|0)==(a[qb+20>>2]|0)?(a[da]=0,a[K]=73,T=qb,M=52):(Fa=a[K],M=50)}}while(0);if(50==M)if(73!=(Fa|0)){var Pa=Fa;M=67}else T=a[D+7],M=52;do if(52==M){var Ja=N+28|0;t=Ja>>2;if(0==(a[T+28>>2]|0)){a[K]=91;var Ka=Ja;v=Ka>>2;M=69}else{q=(N+20|0)>>2;var rb=a[q],Qh=N+12|0;x=(c+48|0)>>2;n=(N+8|0)>>2;A=(N+32|0)>>2;for(var nb=rb,Bb=rb;;){if((Bb|0)==(a[Qh>>2]|0)){if(0!=(a[a[t]+44>>2]|0)&Bb>>>0>nb>>>0){var xb=
-oa(a[x],a[n]+nb|0,Bb-nb|0);a[x]=xb}ta(c);var bb=k[q];if((bb|0)==(a[Qh>>2]|0)){var zb=1,Cb=bb;break}var Dg=bb,wa=bb}else Dg=nb,wa=Bb;var Rh=a[A];a[A]=Rh+1|0;var sc=y[a[a[t]+28>>2]+Rh|0],xa=sc&255;a[q]=wa+1|0;l[a[n]+wa|0]=sc;if(0==sc<<24>>24){zb=xa;Cb=Dg;break}nb=Dg;Bb=a[q]}if(0!=(a[a[t]+44>>2]|0)){var Ha=k[q];if(!(Ha>>>0<=Cb>>>0)){var La=oa(a[x],a[n]+Cb|0,Ha-Cb|0);a[x]=La}}0==(zb|0)?(a[A]=0,a[K]=91,Ka=Ja,v=Ka>>2,M=69):(Pa=a[K],M=67)}}while(0);if(67==M)if(91!=(Pa|0)){var Ca=Pa;M=84}else Ka=N+28|0,v=
-Ka>>2,M=69;do if(69==M)if(0==(a[a[v]+36>>2]|0)){a[K]=103;var Vb=Ka;M=86}else{L=(N+20|0)>>2;var $b=a[L],za=N+12|0;j=(c+48|0)>>2;ia=(N+8|0)>>2;for(var Qa=N+32|0,Fb=$b,Nb=$b;;){if((Nb|0)==(a[za>>2]|0)){if(0!=(a[a[v]+44>>2]|0)&Nb>>>0>Fb>>>0){var uj=oa(a[j],a[ia]+Fb|0,Nb-Fb|0);a[j]=uj}ta(c);var ac=k[L];if((ac|0)==(a[za>>2]|0)){var Ra=1,Ib=ac;break}var Wb=ac,Bc=ac}else Wb=Fb,Bc=Nb;var Sh=a[Qa>>2];a[Qa>>2]=Sh+1|0;var bc=y[a[a[v]+36>>2]+Sh|0],Qb=bc&255;a[L]=Bc+1|0;l[a[ia]+Bc|0]=bc;if(0==bc<<24>>24){Ra=Qb;
-Ib=Wb;break}Fb=Wb;Nb=a[L]}if(0!=(a[a[v]+44>>2]|0)){var nc=k[L];if(!(nc>>>0<=Ib>>>0)){var vj=oa(a[j],a[ia]+Ib|0,nc-Ib|0);a[j]=vj}}0==(Ra|0)?(a[K]=103,Vb=Ka,M=86):(Ca=a[K],M=84)}while(0);84==M&&(103!=(Ca|0)?M=92:(Vb=N+28|0,M=86));do if(86==M){if(0!=(a[a[Vb>>2]+44>>2]|0)){m=(N+20|0)>>2;var cc=k[m],oc=N+12|0,dc=k[oc>>2];if((cc+2|0)>>>0>dc>>>0){ta(c);var Ob=a[m],Th=a[oc>>2]}else Ob=cc,Th=dc;if((Ob+2|0)>>>0>Th>>>0)break;o=(c+48|0)>>2;var sb=a[o]&255;a[m]=Ob+1|0;var zd=N+8|0;l[a[zd>>2]+Ob|0]=sb;var ec=k[o]>>>
-8&255,vc=k[m];a[m]=vc+1|0;l[a[zd>>2]+vc|0]=ec;var fc=oa(0,0,0);a[o]=fc}a[K]=113}while(0);i=(N+20|0)>>2;var wj=0==(a[i]|0);do{if(wj){var pc=a[G+1];if(0!=(pc|0)){var gc=pc;break}if(!((ya|0)>=(e|0)&4!=(e|0))){gc=pc;break}a[G+6]=s.__str765|0;Ma=-5;break a}ta(c);if(0==(a[C]|0)){a[E]=-1;Ma=0;break a}gc=a[G+1]}while(0);var tc=666==(a[K]|0),Uh=0==(gc|0);do{if(tc){if(Uh){M=103;break}a[G+6]=s.__str765|0;Ma=-5;break a}M=Uh?103:106}while(0);do if(103==M)if(0!=(a[D+29]|0))M=106;else{if(0==(e|0)){Ma=0;break a}M=
-tc?122:106}while(0);do if(106==M){var hc=a[D+34],Pb=2==hc?wf(N,e):3==hc?xf(N,e):va[a[(Ub+8>>2)+(3*a[D+33]|0)]](N,e);2>(Pb-2|0)>>>0?a[K]=666:M=112;if(2==Pb||0==Pb){if(0!=(a[C]|0)){Ma=0;break a}a[E]=-1;Ma=0;break a}else if(1==Pb){if(1==e)yf(N);else if(5!=e&&(re(N,0,0,0),3==(e|0))){var ic=N+76|0,wc=N+68|0;h[a[wc>>2]+(a[ic>>2]-1<<1)>>1]=0;Sb(a[wc>>2],0,(a[ic>>2]<<1)-2|0,1);0==(a[D+29]|0)&&(a[D+27]=0,a[D+23]=0)}ta(c);if(0==(a[C]|0)){a[E]=-1;Ma=0;break a}}}while(0);if(!db){Ma=0;break a}g=(N+24|0)>>2;var Ab=
-a[g];if(1>(Ab|0)){Ma=1;break a}f=(c+48|0)>>2;var ob=k[f];if(2==(Ab|0)){var Mb=ob&255,Db=a[i];a[i]=Db+1|0;b=(N+8|0)>>2;l[a[b]+Db|0]=Mb;var Jb=k[f]>>>8&255,Hb=k[i];a[i]=Hb+1|0;l[a[b]+Hb|0]=Jb;var Xc=k[f]>>>16&255,xc=k[i];a[i]=xc+1|0;l[a[b]+xc|0]=Xc;var Kb=k[f]>>>24&255,Eb=k[i];a[i]=Eb+1|0;l[a[b]+Eb|0]=Kb;d=(c+8|0)>>2;var Cc=a[d]&255,Dc=a[i];a[i]=Dc+1|0;l[a[b]+Dc|0]=Cc;var yc=k[d]>>>8&255,zc=k[i];a[i]=zc+1|0;l[a[b]+zc|0]=yc;var Rb=k[d]>>>16&255,Gb=k[i];a[i]=Gb+1|0;l[a[b]+Gb|0]=Rb;var Yb=k[d]>>>24&255,
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-R,L,A,n,x,q,v,t;v=(c+116|0)>>2;var w=0==(e|0);q=(c+72|0)>>2;var O=c+88|0;x=(c+108|0)>>2;n=(c+56|0)>>2;var da=c+84|0;A=(c+68|0)>>2;var E=c+52|0,ga=c+64|0;L=(c+96|0)>>2;R=(c+120|0)>>2;j=(c+112|0)>>2;m=(c+100|0)>>2;o=(c+5792|0)>>2;i=(c+5796|0)>>2;g=(c+5784|0)>>2;var z=c+5788|0;f=(c+104|0)>>2;b=(c+92|0)>>2;d=(c|0)>>2;var r=c+128|0,J=c+44|0,F=c+136|0;a:for(;;){for(var u=a[v];;){u=262>u>>>0;do if(u){Rb(c);t=k[v];if(262>t>>>0&w){var B=0;break a}if(0!=(t|0))if(2<t>>>0)t=7;else{a[R]=a[L];a[m]=a[j];var D=a[L]=
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-c:do if(106==B){var Wi=k[t],Wj=0==(Wi&512|0);do{if(!Wj){for(var Xd=bc,We=Hb,Xe=nc,Yd=Eb;!(16<=Yd>>>0);){if(0==(We|0)){T=P;Y=Xd;U=0;ca=Xe;ea=Yd;S=I;break b}var Xj=((y[Xd]&255)<<Yd)+Xe|0,Xd=Xd+1|0,We=We-1|0,Xe=Xj,Yd=Yd+8|0}if((Xe|0)==(a[w]&65535|0)){var Xi=Xd,Yi=We,Zi=0,$i=0;break}a[q]=s.__str519|0;a[r]=29;ha=P;ja=Xd;ka=$;W=We;na=H;ra=Xe;pa=Yd;la=I;B=265;break c}Xi=bc;Yi=Hb;Zi=nc;$i=Eb}while(0);var aj=k[v];0!=(aj|0)&&(a[(aj+44|0)>>2]=Wi>>>9&1,a[(a[v]+48|0)>>2]=1);var bj=oa(0,0,0);a[w]=bj;a[x]=bj;a[r]=
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-a[i]+bf|0;var qj=(S|0)==(oj|0);if(!(0==(a[O]|0)|qj)){var rj=a[w],sj=a[F]+-bf|0,tj=0==(a[t]|0)?kc(rj,sj,bf):oa(rj,sj,bf);a[w]=tj;a[x]=tj}var Fh=a[r];a[c+44>>2]=(0!=(a[A]|0)?64:0)+a[da]+(11==(Fh|0)?128:0)+(19==(Fh|0)?256:14==(Fh|0)?256:0)|0;D=(db|0)==(nj|0)&qj&0==(T|0)?-5:T}}}}while(0);ma=E;return D}function Vc(c){for(var e=0;!(h[c+(e<<2)+148>>1]=0,e=e+1|0,286==(e|0)););h[c+2440>>1]=0;h[c+2444>>1]=0;h[c+2448>>1]=0;h[c+2452>>1]=0;h[c+2456>>1]=0;h[c+2460>>1]=0;h[c+2464>>1]=0;h[c+2468>>1]=0;h[c+2472>>
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-2732>>1]=0;h[c+2736>>1]=0;h[c+2740>>1]=0;h[c+2744>>1]=0;h[c+2748>>1]=0;h[c+2752>>1]=0;h[c+2756>>1]=0;h[c+1172>>1]=1;a[c+5804>>2]=0;a[c+5800>>2]=0;a[c+5808>>2]=0;a[c+5792>>2]=0}function cf(c){var e,d,b;b=(c+5820|0)>>2;e=k[b];if(16==(e|0)){d=(c+5816|0)>>1;var f=h[d]&255;e=(c+20|0)>>2;var g=a[e];a[e]=g+1|0;c=c+8|0;l[a[c>>2]+g|0]=f;f=(p[d]&65535)>>>8&255;g=k[e];a[e]=g+1|0;l[a[c>>2]+g|0]=f;h[d]=0;a[b]=0}else 7>=(e|0)||(e=(c+5816|0)>>1,d=h[e]&255,f=c+20|0,g=a[f>>2],a[f>>2]=g+1|0,l[a[c+8>>2]+g|0]=d,h[e]=
-(p[e]&65535)>>>8,a[b]=a[b]-8|0)}function mj(c,e){var d,b,f,g=c>>2,i,o=k[g+7];f=o>>2;var m=o+52|0;i=a[m>>2];if(0==(i|0))if(i=va[a[g+8]](a[g+10],1<<a[f+9],1),a[m>>2]=i,0==(i|0))b=1,i=12;else{var h=i;i=2}else h=i,i=2;do if(2==i){b=(o+40|0)>>2;d=a[b];if(0==(d|0)){d=1<<a[f+9];a[b]=d;a[f+12]=0;a[f+11]=0;var j=d}else j=d;var l=e-a[g+4]|0;if(l>>>0<j>>>0){d=(o+48|0)>>2;var A=k[d],j=j-A|0,j=j>>>0>l>>>0?l:j,n=c+12|0;Qb(h+A|0,a[n>>2]+-l|0,j,1);A=l-j|0;if((l|0)==(j|0)){l=a[d]+j|0;a[d]=l;b=k[b];(l|0)==(b|0)&&(a[d]=
-0);d=o+44|0;l=k[d>>2];if(l>>>0>=b>>>0){b=0;break}a[d>>2]=l+j|0}else Qb(a[m>>2],a[n>>2]+-A|0,A,1),a[d]=A,a[f+11]=a[b]}else Qb(h,a[g+3]+-j|0,j,1),a[f+12]=0,a[f+11]=a[b];b=0}while(0);return b}function Rc(c){var e;if(0!=(c|0)){e=(c+28|0)>>2;var d=a[e];if(0!=(d|0)){var b=c+36|0,f=a[b>>2];if(0!=(f|0)){var g=a[d+52>>2],c=c+40|0;0==(g|0)?b=f:(va[f](a[c>>2],g),b=a[b>>2],d=a[e]);va[b](a[c>>2],d);a[e]=0}}}}function re(c,e,d,b){var f,g;g=(c+5820|0)>>2;f=k[g];var i=b&65535,b=(c+5816|0)>>1,o=p[b]&65535|i<<f;h[b]=
-o&65535;if(13<(f|0)){f=(c+20|0)>>2;var m=a[f];a[f]=m+1|0;var j=c+8|0;l[a[j>>2]+m|0]=o&255;o=(p[b]&65535)>>>8&255;m=k[f];a[f]=m+1|0;l[a[j>>2]+m|0]=o;f=k[g];h[b]=i>>>((16-f|0)>>>0)&65535;b=f-13|0}else b=f+3|0;a[g]=b;ng(c,e,d)}function ng(c,e,d){var b;og(c);a[c+5812>>2]=8;b=(c+20|0)>>2;var f=a[b];a[b]=f+1|0;c=(c+8|0)>>2;l[a[c]+f|0]=d&255;f=k[b];a[b]=f+1|0;l[a[c]+f|0]=d>>>8&255;var f=d&65535^65535,g=a[b];a[b]=g+1|0;l[a[c]+g|0]=f&255;g=k[b];a[b]=g+1|0;l[a[c]+g|0]=f>>>8&255;f=0==(d|0);a:do if(!f)for(var g=
-e,i=d;;){var i=i-1|0,o=l[g],m=a[b];a[b]=m+1|0;l[a[c]+m|0]=o;if(0==(i|0))break a;g=g+1|0}while(0)}function yf(c){var e,d,b,f;f=(c+5820|0)>>2;var g=k[f];b=(c+5816|0)>>1;e=p[b]&65535|2<<g;d=e&65535;h[b]=d;if(13<(g|0)){d=(c+20|0)>>2;var i=a[d];a[d]=i+1|0;g=c+8|0;l[a[g>>2]+i|0]=e&255;e=(p[b]&65535)>>>8&255;i=k[d];a[d]=i+1|0;l[a[g>>2]+i|0]=e;e=k[f];d=2>>>((16-e|0)>>>0)&65535;h[b]=d;e=e-13|0}else e=g+3|0;g=d;a[f]=e;9<(e|0)?(d=(c+20|0)>>2,i=a[d],a[d]=i+1|0,e=c+8|0,l[a[e>>2]+i|0]=g&255,g=(p[b]&65535)>>>8&
-255,i=k[d],a[d]=i+1|0,l[a[e>>2]+i|0]=g,h[b]=0,d=a[f]-9|0):d=e+7|0;a[f]=d;cf(c);d=c+5812|0;i=k[f];if(9>(a[d>>2]+11-i|0)){g=p[b]&65535|2<<i;e=g&65535;h[b]=e;if(13<(i|0)){e=(c+20|0)>>2;var o=a[e];a[e]=o+1|0;i=c+8|0;l[a[i>>2]+o|0]=g&255;g=(p[b]&65535)>>>8&255;o=k[e];a[e]=o+1|0;l[a[i>>2]+o|0]=g;g=k[f];e=2>>>((16-g|0)>>>0)&65535;h[b]=e;g=g-13|0}else g=i+3|0;i=e;a[f]=g;9<(g|0)?(e=(c+20|0)>>2,o=a[e],a[e]=o+1|0,g=c+8|0,l[a[g>>2]+o|0]=i&255,i=(p[b]&65535)>>>8&255,o=k[e],a[e]=o+1|0,l[a[g>>2]+o|0]=i,h[b]=0,b=
-a[f]-9|0):b=g+7|0;a[f]=b;cf(c)}a[d>>2]=7}function xa(c,e,d,b){var f,g;g=c>>2;var i=0<(a[g+33]|0);do if(i){var o=a[g]+44|0;if(2==(a[o>>2]|0)){for(var m=c>>1,j=void 0,R=0,L=-201342849;;){if(32<=(R|0)){j=5;break}if(0!=(L&1|0)&&0!=h[((R<<2)+148>>1)+m]<<16>>16){f=0;j=11;break}R=R+1|0;L>>>=1}a:do if(5==j)if(0!=h[m+92]<<16>>16)f=1;else if(0!=h[m+94]<<16>>16)f=1;else if(0!=h[m+100]<<16>>16)f=1;else for(R=32;;){if(256<=(R|0)){f=0;break a}if(0!=h[((R<<2)+148>>1)+m]<<16>>16){f=1;break a}R=R+1|0}while(0);a[o>>
-2]=f}jd(c,c+2840|0);jd(c,c+2852|0);m=c;kd(m,m+148|0,a[m+2844>>2]);kd(m,m+2440|0,a[m+2856>>2]);jd(m,m+2864|0);for(o=18;!(2>=(o|0));){if(0!=h[m+((y[s._bl_order+o|0]&255)<<2)+2686>>1]<<16>>16)break;o=o-1|0}m=m+5800|0;a[m>>2]=3*o+a[m>>2]+17|0;j=(a[g+1450]+10|0)>>>3;R=(a[g+1451]+10|0)>>>3;R>>>0>j>>>0?(m=R,R=j):m=R}else j=d+5|0,o=0,R=m=j;while(0);(d+4|0)>>>0>R>>>0|0==(e|0)?(e=(c+5820|0)>>2,f=k[e],j=13<(f|0),4==(a[g+34]|0)|(m|0)==(R|0)?(o=b+2&65535,g=(c+5816|0)>>1,i=p[g]&65535|o<<f,h[g]=i&65535,j?(d=(c+
-20|0)>>2,m=a[d],a[d]=m+1|0,f=c+8|0,l[a[f>>2]+m|0]=i&255,i=(p[g]&65535)>>>8&255,m=k[d],a[d]=m+1|0,l[a[f>>2]+m|0]=i,d=k[e],h[g]=o>>>((16-d|0)>>>0)&65535,g=d-13|0):g=f+3|0,a[e]=g,ld(c,md|0,$d|0)):(i=b+4&65535,d=(c+5816|0)>>1,m=p[d]&65535|i<<f,h[d]=m&65535,j?(f=(c+20|0)>>2,R=a[f],a[f]=R+1|0,j=c+8|0,l[a[j>>2]+R|0]=m&255,m=(p[d]&65535)>>>8&255,R=k[f],a[f]=R+1|0,l[a[j>>2]+R|0]=m,f=k[e],h[d]=i>>>((16-f|0)>>>0)&65535,d=f-13|0):d=f+3|0,a[e]=d,pg(c,a[g+711]+1|0,a[g+714]+1|0,o+1|0),ld(c,c+148|0,c+2440|0))):re(c,
-e,d,b);Vc(c);0!=(b|0)&&og(c)}function ld(c,e,d){var b,f,g,i,o,m,j=e>>1,R=c+5792|0,L=0==(a[R>>2]|0);a:do if(L)var A=a[c+5820>>2],n=h[c+5816>>1];else{var x=c+5796|0,q=c+5784|0;m=(c+5820|0)>>2;o=(c+5816|0)>>1;i=(c+20|0)>>2;g=(c+8|0)>>2;for(var v=0;;){var t=p[a[x>>2]+(v<<1)>>1],w=t&65535,O=v+1|0,u=y[a[q>>2]+v|0]&255;if(0==t<<16>>16){var D=p[((u<<2)+2>>1)+j]&65535,ga=k[m],z=(ga|0)>(16-D|0),r=p[(u<<2>>1)+j]&65535,J=p[o]&65535|r<<ga,F=J&65535;h[o]=F;if(z){var E=J&255,B=a[i];a[i]=B+1|0;l[a[g]+B|0]=E;var C=
-(p[o]&65535)>>>8&255,Q=k[i];a[i]=Q+1|0;l[a[g]+Q|0]=C;var K=k[m],X=r>>>((16-K|0)>>>0)&65535;h[o]=X;var G=D-16+K|0,M=a[m]=G,Z=X}else var Ma=ga+D|0,M=a[m]=Ma,Z=F}else{var N=y[s.__length_code+u|0]&255,ma=(N|256)+1|0,cb=p[((ma<<2)+2>>1)+j]&65535,db=k[m],ya=(db|0)>(16-cb|0),fa=p[(ma<<2>>1)+j]&65535,ta=p[o]&65535|fa<<db,lc=ta&65535;h[o]=lc;if(ya){var xa=ta&255,Na=a[i];a[i]=Na+1|0;l[a[g]+Na|0]=xa;var tb=(p[o]&65535)>>>8&255,Aa=k[i];a[i]=Aa+1|0;l[a[g]+Aa|0]=tb;var Xa=k[m],Ia=fa>>>((16-Xa|0)>>>0)&65535;h[o]=
-Ia;var Da=cb-16+Xa|0,Ya=Ia}else Da=db+cb|0,Ya=lc;a[m]=Da;var Sa=k[ae+(N<<2)>>2];if(20>(N-8|0)>>>0){var wa=(Da|0)>(16-Sa|0),Ta=u-a[qg+(N<<2)>>2]&65535,jb=Ta<<Da|Ya&65535,eb=jb&65535;h[o]=eb;if(wa){var rc=jb&255,Ua=a[i];a[i]=Ua+1|0;l[a[g]+Ua|0]=rc;var mc=(p[o]&65535)>>>8&255,Ba=k[i];a[i]=Ba+1|0;l[a[g]+Ba|0]=mc;var Oa=k[m],Za=Ta>>>((16-Oa|0)>>>0)&65535;h[o]=Za;var $a=Sa-16+Oa|0,kb=a[m]=$a,fb=Za}else var pb=Da+Sa|0,kb=a[m]=pb,fb=eb}else kb=Da,fb=Ya;var lb=w-1|0,P=y[s.__dist_code+(256>lb>>>0?lb:(lb>>>
-7)+256|0)|0]&255,aa=p[d+(P<<2)+2>>1]&65535,$=(kb|0)>(16-aa|0),qa=p[d+(P<<2)>>1]&65535,H=fb&65535|qa<<kb,ba=H&65535;h[o]=ba;if($){var V=H&255,I=a[i];a[i]=I+1|0;l[a[g]+I|0]=V;var sa=(p[o]&65535)>>>8&255,ub=k[i];a[i]=ub+1|0;l[a[g]+ub|0]=sa;var ha=k[m],ja=qa>>>((16-ha|0)>>>0)&65535;h[o]=ja;var ka=aa-16+ha|0,W=ja}else ka=kb+aa|0,W=ba;a[m]=ka;var na=k[be+(P<<2)>>2];if(26<=(P-4|0)>>>0)M=ka,Z=W;else{var ra=(ka|0)>(16-na|0),pa=lb-a[df+(P<<2)>>2]&65535,la=pa<<ka|W&65535,ua=la&65535;h[o]=ua;if(ra){var Va=la&
-255,Fa=a[i];a[i]=Fa+1|0;l[a[g]+Fa|0]=Va;var ab=(p[o]&65535)>>>8&255,T=k[i];a[i]=T+1|0;l[a[g]+T|0]=ab;var Y=k[m],U=pa>>>((16-Y|0)>>>0)&65535;h[o]=U;var ca=na-16+Y|0,M=a[m]=ca,Z=U}else var ea=ka+na|0,M=a[m]=ea,Z=ua}}if(O>>>0>=k[R>>2]>>>0){A=M;n=Z;break a}v=O}}while(0);var S=e+1026|0,Ea=p[S>>1]&65535,gb=c+5820|0,vb=(A|0)>(16-Ea|0),Wa=p[j+512]&65535;f=(c+5816|0)>>1;var Ga=n&65535|Wa<<A;h[f]=Ga&65535;if(vb){var hb=Ga&255;b=(c+20|0)>>2;var va=a[b];a[b]=va+1|0;var oa=c+8|0;l[a[oa>>2]+va|0]=hb;var mb=(p[f]&
-65535)>>>8&255,wb=k[b];a[b]=wb+1|0;l[a[oa>>2]+wb|0]=mb;var qb=k[gb>>2];h[f]=Wa>>>((16-qb|0)>>>0)&65535;var yb=Ea-16+qb|0}else yb=A+Ea|0;a[gb>>2]=yb;a[c+5812>>2]=p[S>>1]&65535}function og(c){var e,d=c+5820|0,b=k[d>>2];if(8<(b|0)){var b=c+5816|0,f=h[b>>1]&255;e=(c+20|0)>>2;var g=a[e];a[e]=g+1|0;c=c+8|0;l[a[c>>2]+g|0]=f;f=(p[b>>1]&65535)>>>8&255;g=k[e];a[e]=g+1|0;l[a[c>>2]+g|0]=f;c=b}else e=c+5816|0,0>=(b|0)||(b=h[e>>1]&255,f=c+20|0,g=a[f>>2],a[f>>2]=g+1|0,l[a[c+8>>2]+g|0]=b),c=e;h[c>>1]=0;a[d>>2]=0}
-function jd(c,e){var d,b,f,g,i,o,m=e|0,j=k[m>>2];i=j>>1;var R=e+8|0;f=a[R>>2];var L=a[f>>2],A=k[f+12>>2];g=(c+5200|0)>>2;a[g]=0;f=(c+5204|0)>>2;a[f]=573;b=0<(A|0);do if(b){o=0;for(var n=-1;;){if(0==h[(o<<2>>1)+i]<<16>>16){h[((o<<2)+2>>1)+i]=0;var x=n}else x=a[g]+1|0,a[g]=x,a[((x<<2)+c+2908|0)>>2]=o,l[c+(o+5208)|0]=0,x=o;o=o+1|0;if((o|0)==(A|0))break;n=x}o=a[g];if(2>(o|0)){d=o;var q=x;o=2}else{var v=x;o=9}}else d=0,q=-1,o=2;while(0);a:do if(2==o)if(b=(c+5800|0)>>2,x=c+5804|0,0==(L|0)){x=q;for(n=d;;){var t=
-2>(x|0),w=x+1|0,x=t?w:x,t=t?w:0,n=n+1|0;a[g]=n;a[c+(n<<2)+2908>>2]=t;h[(t<<2>>1)+i]=1;l[c+(t+5208)|0]=0;a[b]=a[b]-1|0;n=a[g];if(2<=(n|0)){v=x;break a}}}else{n=q;for(t=d;;){var w=2>(n|0),O=n+1|0,n=w?O:n,w=w?O:0,t=t+1|0;a[g]=t;a[c+(t<<2)+2908>>2]=w;h[(w<<2>>1)+i]=1;l[c+(w+5208)|0]=0;a[b]=a[b]-1|0;a[x>>2]=a[x>>2]-(p[L+(w<<2)+2>>1]&65535)|0;t=k[g];if(2<=(t|0)){v=n;break a}}}while(0);L=e+4|0;a[L>>2]=v;d=a[g];if(1<(d|0)){for(d=d/2|0;!(nd(c,j,d),d=d-1|0,0>=(d|0)););q=a[g]}else q=d;d=(c+2912|0)>>2;for(o=
-q;;){q=k[d];a[g]=o-1|0;a[d]=a[c+(o<<2)+2908>>2];nd(c,j,1);o=k[d];b=a[f]-1|0;a[f]=b;a[((b<<2)+c+2908|0)>>2]=q;b=a[f]-1|0;a[f]=b;a[((b<<2)+c+2908|0)>>2]=o;h[(A<<2>>1)+i]=h[(o<<2>>1)+i]+h[(q<<2>>1)+i]&65535;b=y[c+(q+5208)|0];x=y[c+(o+5208)|0];l[c+(A+5208)|0]=((b&255)<(x&255)?x:b)+1&255;b=A&65535;h[((o<<2)+2>>1)+i]=b;h[((q<<2)+2>>1)+i]=b;q=A+1|0;a[d]=A;nd(c,j,1);o=k[g];if(1>=(o|0))break;A=q}i=a[d];g=a[f]-1|0;a[f]=g;a[((g<<2)+c+2908|0)>>2]=i;ef(c,a[m>>2],a[L>>2],a[R>>2]);rg(j,v,c+2876|0)}function pg(c,
-e,d,b){var f,g,i;i=(c+5820|0)>>2;f=k[i];var o=e+65279&65535;g=(c+5816|0)>>1;var m=p[g]&65535|o<<f,j=m&65535;h[g]=j;if(11<(f|0)){f=(c+20|0)>>2;var R=a[f];a[f]=R+1|0;j=c+8|0;l[a[j>>2]+R|0]=m&255;m=(p[g]&65535)>>>8&255;R=k[f];a[f]=R+1|0;l[a[j>>2]+R|0]=m;f=k[i];o=o>>>((16-f|0)>>>0)&65535;h[g]=o;f=f-11|0;m=o}else f=f+5|0,m=j;a[i]=f;d=d-1|0;o=d&65535;m=m&65535|o<<f;j=m&65535;h[g]=j;11<(f|0)?(f=(c+20|0)>>2,R=a[f],a[f]=R+1|0,j=c+8|0,l[a[j>>2]+R|0]=m&255,m=(p[g]&65535)>>>8&255,R=k[f],a[f]=R+1|0,l[a[j>>2]+
-R|0]=m,f=k[i],o=o>>>((16-f|0)>>>0)&65535,h[g]=o,f=f-11|0,m=o):(f=f+5|0,m=j);a[i]=f;o=b+65532&65535;m=m&65535|o<<f;j=m&65535;h[g]=j;12<(f|0)?(f=(c+20|0)>>2,R=a[f],a[f]=R+1|0,j=c+8|0,l[a[j>>2]+R|0]=m&255,m=(p[g]&65535)>>>8&255,R=k[f],a[f]=R+1|0,l[a[j>>2]+R|0]=m,f=k[i],m=o>>>((16-f|0)>>>0)&65535,h[g]=m,o=f-12|0):(o=f+4|0,m=j);a[i]=o;j=0<(b|0);a:do if(j){f=(c+20|0)>>2;for(var R=c+8|0,L=0,A=o,n=m;;){var x=p[c+((y[s._bl_order+L|0]&255)<<2)+2686>>1]&65535,q=n&65535|x<<A,n=q&65535;h[g]=n;13<(A|0)?(A=q&255,
-n=a[f],a[f]=n+1|0,l[a[R>>2]+n|0]=A,A=(p[g]&65535)>>>8&255,n=k[f],a[f]=n+1|0,l[a[R>>2]+n|0]=A,A=k[i],n=x>>>((16-A|0)>>>0)&65535,h[g]=n,x=A-13|0):x=A+3|0;a[i]=x;L=L+1|0;if((L|0)==(b|0))break a;A=x}}while(0);ce(c,c+148|0,e-1|0);ce(c,c+2440|0,d)}function ce(c,e,d){var b,f,g,i,o=p[e+2>>1],m=0==o<<16>>16,j=m?138:7,R=m?3:4,L=c+2754|0;i=(c+5820|0)>>2;var A=c+2752|0;g=(c+5816|0)>>1;f=(c+20|0)>>2;b=(c+8|0)>>2;var n=c+2758|0,x=c+2756|0,q=c+2750|0,v=c+2748|0,t=R,w=j,O=0,u=-1,y=o&65535;a:for(;;){for(var s=0,z=
-O,r=y;;){if((z|0)>(d|0))break a;var D=z+1|0,F=p[e+(D<<2)+2>>1],E=F&65535,B=s+1|0,C=(r|0)==(E|0);if(!((B|0)<(w|0)&C))break;s=B;z=D;r=E}var Q=(B|0)<(t|0);b:do if(Q)for(var K=(r<<2)+c+2686|0,X=(r<<2)+c+2684|0,G=B,M=a[i],Z=h[g];;){var Ma=p[K>>1]&65535,N=(M|0)>(16-Ma|0),ma=p[X>>1]&65535,cb=Z&65535|ma<<M,db=cb&65535;h[g]=db;if(N){var ya=cb&255,fa=a[f];a[f]=fa+1|0;l[a[b]+fa|0]=ya;var ta=(p[g]&65535)>>>8&255,lc=k[f];a[f]=lc+1|0;l[a[b]+lc|0]=ta;var va=k[i],Na=ma>>>((16-va|0)>>>0)&65535;h[g]=Na;var tb=Ma-16+
-va|0,Aa=Na}else tb=M+Ma|0,Aa=db;a[i]=tb;var Xa=G-1|0;if(0==(Xa|0))break b;G=Xa;M=tb;Z=Aa}else if(0==(r|0))if(11>(B|0)){var Ia=p[L>>1]&65535,Da=k[i],Ya=(Da|0)>(16-Ia|0),Sa=p[A>>1]&65535,oa=p[g]&65535|Sa<<Da,Ta=oa&65535;h[g]=Ta;if(Ya){var jb=oa&255,eb=a[f];a[f]=eb+1|0;l[a[b]+eb|0]=jb;var xa=(p[g]&65535)>>>8&255,Ua=k[f];a[f]=Ua+1|0;l[a[b]+Ua|0]=xa;var wa=k[i],Ba=Sa>>>((16-wa|0)>>>0)&65535;h[g]=Ba;var Oa=Ia-16+wa|0,Za=Ba}else Oa=Da+Ia|0,Za=Ta;a[i]=Oa;var $a=s+65534&65535,kb=Za&65535|$a<<Oa;h[g]=kb&65535;
-if(13<(Oa|0)){var fb=a[f];a[f]=fb+1|0;l[a[b]+fb|0]=kb&255;var pb=(p[g]&65535)>>>8&255,lb=k[f];a[f]=lb+1|0;l[a[b]+lb|0]=pb;var P=k[i];h[g]=$a>>>((16-P|0)>>>0)&65535;a[i]=P-13|0}else a[i]=Oa+3|0}else{var aa=p[n>>1]&65535,$=k[i],qa=($|0)>(16-aa|0),H=p[x>>1]&65535,ba=p[g]&65535|H<<$,V=ba&65535;h[g]=V;if(qa){var I=ba&255,sa=a[f];a[f]=sa+1|0;l[a[b]+sa|0]=I;var ub=(p[g]&65535)>>>8&255,ha=k[f];a[f]=ha+1|0;l[a[b]+ha|0]=ub;var ja=k[i],ka=H>>>((16-ja|0)>>>0)&65535;h[g]=ka;var W=aa-16+ja|0,na=ka}else W=$+aa|
-0,na=V;a[i]=W;var ra=s+65526&65535,pa=na&65535|ra<<W;h[g]=pa&65535;if(9<(W|0)){var la=a[f];a[f]=la+1|0;l[a[b]+la|0]=pa&255;var ua=(p[g]&65535)>>>8&255,Va=k[f];a[f]=Va+1|0;l[a[b]+Va|0]=ua;var Fa=k[i];h[g]=ra>>>((16-Fa|0)>>>0)&65535;a[i]=Fa-9|0}else a[i]=W+7|0}else{if((r|0)==(u|0))var ab=B,T=a[i],Y=h[g];else{var U=p[c+(r<<2)+2686>>1]&65535,ca=k[i],ea=(ca|0)>(16-U|0),S=p[c+(r<<2)+2684>>1]&65535,Ea=p[g]&65535|S<<ca,gb=Ea&65535;h[g]=gb;if(ea){var vb=Ea&255,Wa=a[f];a[f]=Wa+1|0;l[a[b]+Wa|0]=vb;var Ga=(p[g]&
-65535)>>>8&255,hb=k[f];a[f]=hb+1|0;l[a[b]+hb|0]=Ga;var Ha=k[i],Wc=S>>>((16-Ha|0)>>>0)&65535;h[g]=Wc;var mb=U-16+Ha|0,wb=Wc}else mb=ca+U|0,wb=gb;a[i]=mb;ab=s;T=mb;Y=wb}var qb=p[q>>1]&65535,yb=(T|0)>(16-qb|0),ib=p[v>>1]&65535,Pa=Y&65535|ib<<T,Ja=Pa&65535;h[g]=Ja;if(yb){var Ka=Pa&255,rb=a[f];a[f]=rb+1|0;l[a[b]+rb|0]=Ka;var Ca=(p[g]&65535)>>>8&255,nb=k[f];a[f]=nb+1|0;l[a[b]+nb|0]=Ca;var Bb=k[i],xb=ib>>>((16-Bb|0)>>>0)&65535;h[g]=xb;var bb=qb-16+Bb|0,zb=xb}else bb=T+qb|0,zb=Ja;a[i]=bb;var Cb=ab+65533&
-65535,za=zb&65535|Cb<<bb;h[g]=za&65535;if(14<(bb|0)){var La=a[f];a[f]=La+1|0;l[a[b]+La|0]=za&255;var Qa=(p[g]&65535)>>>8&255,Ra=k[f];a[f]=Ra+1|0;l[a[b]+Ra|0]=Qa;var ob=k[i];h[g]=Cb>>>((16-ob|0)>>>0)&65535;a[i]=ob-14|0}else a[i]=bb+2|0}while(0);if(0==F<<16>>16)t=3,w=138;else var sb=C?6:7,t=C?3:4,w=sb;O=D;u=r;y=E}}function kd(a,e,d){var b=p[e+2>>1],f=0==b<<16>>16;h[e+(d+1<<2)+2>>1]=-1;var g=a+2752|0,i=a+2756|0,o=a+2748|0,m=f?3:4,f=f?138:7,k=0,j=-1,b=b&65535;a:for(;;){for(var l=0;;){if((k|0)>(d|0))break a;
-var A=k+1|0,n=p[e+(A<<2)+2>>1],x=n&65535,q=l+1|0,v=(b|0)==(x|0);if(!((q|0)<(f|0)&v))break;l=q;k=A;b=x}(q|0)<(m|0)?(m=(b<<2)+a+2684|0,h[m>>1]=(p[m>>1]&65535)+q&65535):0==(b|0)?11>(q|0)?h[g>>1]=h[g>>1]+1&65535:h[i>>1]=h[i>>1]+1&65535:((b|0)!=(j|0)&&(m=(b<<2)+a+2684|0,h[m>>1]=h[m>>1]+1&65535),h[o>>1]=h[o>>1]+1&65535);0==n<<16>>16?(m=3,f=138):(f=v?6:7,m=v?3:4);k=A;j=b;b=x}}function nd(c,e,d){for(var b=c>>2,f=k[((d<<2)+2908>>2)+b],g=c+(f+5208)|0,i=c+5200|0,o=(f<<2)+e|0;;){var m=d<<1,j=a[i>>2];if((m|0)>
-(j|0))break;j=(m|0)<(j|0);do if(j){var h=m|1,l=k[((h<<2)+2908>>2)+b],A=p[e+(l<<2)>>1],n=k[((m<<2)+2908>>2)+b],x=p[e+(n<<2)>>1];if((A&65535)>=(x&65535)){if(A<<16>>16!=x<<16>>16){h=m;break}if((y[c+(l+5208)|0]&255)>(y[c+(n+5208)|0]&255)){h=m;break}}}else h=m;while(0);m=p[o>>1];j=k[((h<<2)+2908>>2)+b];l=p[e+(j<<2)>>1];if((m&65535)<(l&65535))break;if(m<<16>>16==l<<16>>16&&(y[g]&255)<=(y[c+(j+5208)|0]&255))break;a[((d<<2)+2908>>2)+b]=j;d=h}a[((d<<2)+2908>>2)+b]=f}function ef(c,e,d,b){var f,g=e>>1,i=k[b>>
-2],o=k[b+4>>2],m=k[b+8>>2],b=k[b+16>>2];Sb(c+2876|0,0,32,2);f=c+5204|0;h[((a[c+(a[f>>2]<<2)+2908>>2]<<2)+2>>1)+g]=0;var j=a[f>>2]+1|0,l=573>(j|0);a:do if(l){f=(c+5800|0)>>2;var L=0==(i|0),A=c+5804|0;b:do if(L)for(var n=0,x=j;;){var q=k[c+(x<<2)+2908>>2],v=(q<<2)+e+2|0,t=(p[(((p[v>>1]&65535)<<2)+2>>1)+g]&65535)+1|0,w=(t|0)>(b|0),n=(w&1)+n|0,t=w?b:t;h[v>>1]=t&65535;(q|0)<=(d|0)&&(v=(t<<1)+c+2876|0,h[v>>1]=h[v>>1]+1&65535,a[f]=(p[(q<<2>>1)+g]&65535)*(((q|0)<(m|0)?0:a[o+(q-m<<2)>>2])+t)+a[f]|0);x=x+1|
-0;if(573==(x|0)){var u=n;break b}}else{n=0;for(x=j;;)if(q=k[c+(x<<2)+2908>>2],v=(q<<2)+e+2|0,t=(p[(((p[v>>1]&65535)<<2)+2>>1)+g]&65535)+1|0,w=(t|0)>(b|0),n=(w&1)+n|0,t=w?b:t,h[v>>1]=t&65535,(q|0)<=(d|0)&&(v=(t<<1)+c+2876|0,h[v>>1]=h[v>>1]+1&65535,v=(q|0)<(m|0)?0:a[o+(q-m<<2)>>2],w=p[(q<<2>>1)+g]&65535,a[f]=w*(v+t)+a[f]|0,a[A>>2]=((p[i+(q<<2)+2>>1]&65535)+v)*w+a[A>>2]|0),x=x+1|0,573==(x|0)){u=n;break b}}while(0);if(0!=(u|0)){L=(b<<1)+c+2876|0;for(A=u;;){for(var y=b;;){var x=y-1|0,s=(x<<1)+c+2876|0,
-D=h[s>>1];if(0!=D<<16>>16)break;y=x}h[s>>1]=D-1&65535;y=(y<<1)+c+2876|0;h[y>>1]=h[y>>1]+2&65535;y=h[L>>1]-1&65535;h[L>>1]=y;A=A-2|0;if(0>=(A|0))break}if(0!=(b|0)){q=573;L=b;for(x=y;;){A=L&65535;for(x&=65535;!(0==(x|0));){for(;;){var z=q-1|0,r=k[c+(z<<2)+2908>>2];if((r|0)<=(d|0))break;q=z}q=(r<<2)+e+2|0;n=p[q>>1]&65535;(n|0)!=(L|0)&&(a[f]=(p[(r<<2>>1)+g]&65535)*(L-n)+a[f]|0,h[q>>1]=A);x=x-1|0;q=z}L=L-1|0;if(0==(L|0))break a;x=A=h[c+(L<<1)+2876>>1]}}}}while(0)}function kc(a,e,d){var b,f=a>>>16,a=a&
-65535,g=1==(d|0);do if(g){var i=(y[e]&255)+a|0,i=65520<i>>>0?i-65521|0:i;b=i+f|0;i|=(65520<b>>>0?b+15|0:b)<<16}else if(0==(e|0))i=1;else if(16>d>>>0){i=0==(d|0);a:do if(i)var o=f,m=a;else{var k=f,j=d;b=e;for(var h=a;;){j=j-1|0;h=(y[b]&255)+h|0;k=h+k|0;if(0==(j|0)){o=k;m=h;break a}b=b+1|0}}while(0);i=(o>>>0)%65521<<16|(65520<m>>>0?m-65521|0:m)}else{i=5551<d>>>0;do if(i){k=f;j=d;b=e;for(h=a;;){for(var l=j-5552|0,j=h,n=b,x=k,q=347;;){var v=(y[n]&255)+j|0,k=v+(y[n+1|0]&255)|0,j=k+(y[n+2|0]&255)|0,h=j+
-(y[n+3|0]&255)|0,t=h+(y[n+4|0]&255)|0,w=t+(y[n+5|0]&255)|0,p=w+(y[n+6|0]&255)|0,u=p+(y[n+7|0]&255)|0,s=u+(y[n+8|0]&255)|0,D=s+(y[n+9|0]&255)|0,z=D+(y[n+10|0]&255)|0,r=z+(y[n+11|0]&255)|0,E=r+(y[n+12|0]&255)|0,F=E+(y[n+13|0]&255)|0,C=F+(y[n+14|0]&255)|0,B=C+(y[n+15|0]&255)|0,v=v+x+k+j+h+t+w+p+u+s+D+z+r+E+F+C+B|0,q=q-1|0;if(0==(q|0))break;j=B;n=n+16|0;x=v}n=b+5552|0;x=(B>>>0)%65521;q=(v>>>0)%65521;if(5551>=l>>>0)break;k=q;j=l;b=n;h=x}if(0==(l|0)){var Q=x,X=q;b=17}else if(15<l>>>0){var K=q,Z=l,G=n,M=
-x;b=14}else{var ma=q,Ma=l,N=n,fa=x;b=15}}else K=f,Z=d,G=e,M=a,b=14;while(0);do if(14==b){for(;;){var cb=Z-16|0,db=(y[G]&255)+M|0,ya=db+(y[G+1|0]&255)|0,i=ya+(y[G+2|0]&255)|0;b=i+(y[G+3|0]&255)|0;var k=b+(y[G+4|0]&255)|0,j=k+(y[G+5|0]&255)|0,h=j+(y[G+6|0]&255)|0,t=h+(y[G+7|0]&255)|0,w=t+(y[G+8|0]&255)|0,p=w+(y[G+9|0]&255)|0,u=p+(y[G+10|0]&255)|0,s=u+(y[G+11|0]&255)|0,D=s+(y[G+12|0]&255)|0,z=D+(y[G+13|0]&255)|0,r=z+(y[G+14|0]&255)|0,ta=r+(y[G+15|0]&255)|0,db=db+K+ya+i+b+k+j+h+t+w+p+u+s+D+z+r+ta|0,ya=
-G+16|0;if(15>=cb>>>0)break;K=db;Z=cb;G=ya;M=ta}if(0==(cb|0)){var va=db,oa=ta;b=16}else ma=db,Ma=cb,N=ya,fa=ta,b=15}while(0);a:do if(15==b)for(;;){i=Ma-1|0;k=(y[N]&255)+fa|0;j=k+ma|0;if(0==(i|0)){va=j;oa=k;b=16;break a}ma=j;Ma=i;N=N+1|0;fa=k}while(0);16==b&&(Q=(oa>>>0)%65521,X=(va>>>0)%65521);i=Q|X<<16}while(0);return i}function ff(c,e,d){for(var b,f,c=c^-1;;){if(0==(d|0)){var g=c;f=11;break}if(0==(e&3|0)){f=4;break}c=a[Q+((y[e]&255^c&255)<<2)>>2]^c>>>8;e=e+1|0;d=d-1|0}a:do if(4==f){var i=e,k=31<d>>>
-0;b:do if(k){var m=c,j=d,h=i;for(b=h>>2;;){m^=a[b];m=a[Q+((m>>>8&255)<<2)+2048>>2]^a[Q+((m&255)<<2)+3072>>2]^a[Q+((m>>>16&255)<<2)+1024>>2]^a[Q+(m>>>24<<2)>>2]^a[b+1];m=a[Q+((m>>>8&255)<<2)+2048>>2]^a[Q+((m&255)<<2)+3072>>2]^a[Q+((m>>>16&255)<<2)+1024>>2]^a[Q+(m>>>24<<2)>>2]^a[b+2];m=a[Q+((m>>>8&255)<<2)+2048>>2]^a[Q+((m&255)<<2)+3072>>2]^a[Q+((m>>>16&255)<<2)+1024>>2]^a[Q+(m>>>24<<2)>>2]^a[b+3];m=a[Q+((m>>>8&255)<<2)+2048>>2]^a[Q+((m&255)<<2)+3072>>2]^a[Q+((m>>>16&255)<<2)+1024>>2]^a[Q+(m>>>24<<
-2)>>2]^a[b+4];m=a[Q+((m>>>8&255)<<2)+2048>>2]^a[Q+((m&255)<<2)+3072>>2]^a[Q+((m>>>16&255)<<2)+1024>>2]^a[Q+(m>>>24<<2)>>2]^a[b+5];m=a[Q+((m>>>8&255)<<2)+2048>>2]^a[Q+((m&255)<<2)+3072>>2]^a[Q+((m>>>16&255)<<2)+1024>>2]^a[Q+(m>>>24<<2)>>2]^a[b+6];h=h+32|0;b=a[Q+((m>>>8&255)<<2)+2048>>2]^a[Q+((m&255)<<2)+3072>>2]^a[Q+((m>>>16&255)<<2)+1024>>2]^a[Q+(m>>>24<<2)>>2]^a[b+7];b=a[Q+((b>>>8&255)<<2)+2048>>2]^a[Q+((b&255)<<2)+3072>>2]^a[Q+((b>>>16&255)<<2)+1024>>2]^a[Q+(b>>>24<<2)>>2];j=j-32|0;if(31>=j>>>0){var l=
-b,A=j,n=h;break b}m=b;b=h>>2}}else l=c,A=d,n=i;while(0);i=3<A>>>0;b:do if(i){b=l;j=A;for(h=n;;){k=h+4|0;b^=a[h>>2];b=a[Q+((b>>>8&255)<<2)+2048>>2]^a[Q+((b&255)<<2)+3072>>2]^a[Q+((b>>>16&255)<<2)+1024>>2]^a[Q+(b>>>24<<2)>>2];j=j-4|0;if(3>=j>>>0){var x=b,q=j,v=k;break b}h=k}}else x=l,q=A,v=n;while(0);if(0==(q|0))g=x;else{i=v;k=q;for(j=x;;){j=a[Q+((y[i]&255^j&255)<<2)>>2]^j>>>8;k=k-1|0;if(0==(k|0)){g=j;break a}i=i+1|0}}}while(0);return g^-1}function rg(a,e,d){var b,f=d>>1,d=ma;ma+=32;b=d>>1;var g=h[f]<<
-1;h[b+1]=g;g=(h[f+1]+g&65535)<<1;h[b+2]=g;g=(h[f+2]+g&65535)<<1;h[b+3]=g;g=(h[f+3]+g&65535)<<1;h[b+4]=g;g=(h[f+4]+g&65535)<<1;h[b+5]=g;g=(h[f+5]+g&65535)<<1;h[b+6]=g;g=(h[f+6]+g&65535)<<1;h[b+7]=g;g=(h[f+7]+g&65535)<<1;h[b+8]=g;g=(h[f+8]+g&65535)<<1;h[b+9]=g;g=(h[f+9]+g&65535)<<1;h[b+10]=g;g=(h[f+10]+g&65535)<<1;h[b+11]=g;g=(h[f+11]+g&65535)<<1;h[b+12]=g;g=(h[f+12]+g&65535)<<1;h[b+13]=g;g=(h[f+13]+g&65535)<<1;h[b+14]=g;h[b+15]=(h[f+14]+g&65535)<<1;b=0>(e|0);a:do if(!b){f=e+1|0;for(g=0;;){var i=p[a+
-(g<<2)+2>>1],k=i&65535;if(0!=i<<16>>16){var i=(k<<1)+d|0,m=p[i>>1];h[i>>1]=m+1&65535;i=m&65535;for(m=0;;){var j=i&1|m,m=j<<1,k=k-1|0;if(0>=(k|0))break;i>>>=1}h[a+(g<<2)>>1]=j&65535}g=g+1|0;if((g|0)==(f|0))break a}}while(0);ma=d}function oa(a,e,d){return 0==(e|0)?0:ff(a,e,d)}function Nf(c,e,d,b,f,g){var i,j,m=b>>2,ia=ma;ma+=32;var u;j=ia>>1;var y=ma;i=y>>1;ma+=32;Sb(ia,0,32,2);var A=0==(d|0);a:do if(!A)for(var n=0;;){var x=((p[e+(n<<1)>>1]&65535)<<1)+ia|0;h[x>>1]=h[x>>1]+1&65535;var q=n+1|0;if((q|
-0)==(d|0))break a;n=q}while(0);for(var v=k[f>>2],t=15;;){if(0==(t|0)){var w=k[m];a[m]=w+4|0;l[w|0]=64;l[w+1|0]=1;h[w+2>>1]=0;var s=a[m];a[m]=s+4|0;l[s|0]=64;l[s+1|0]=1;h[s+2>>1]=0;a[f>>2]=1;var D=0;u=57;break}if(0!=h[(t<<1>>1)+j]<<16>>16){u=6;break}t=t-1|0}a:do if(6==u){for(var E=v>>>0>t>>>0?t:v,C=1;!(C>>>0>=t>>>0);){if(0!=h[(C<<1>>1)+j]<<16>>16)break;C=C+1|0}for(var z=E>>>0<C>>>0?C:E,r=1,J=1;!(16<=r>>>0);){var F=(J<<1)-(p[(r<<1>>1)+j]&65535)|0;if(0>(F|0)){D=-1;break a}r=r+1|0;J=F}if(0<(J|0)&&!(0!=
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-p[e+(db<<1)>>1];if(0!=ya<<16>>16){var oa=((ya&65535)<<1)+y|0,wa=p[oa>>1];h[oa>>1]=wa+1&65535;h[g+((wa&65535)<<1)>>1]=db&65535}var xa=db+1|0;if((xa|0)==(d|0))break b;db=xa}while(0);if(0==c){var Ha=0,Na=1<<z,tb=19,Aa=g,Xa=g,Ia=0;u=26}else{if(1==c)var Da=256,Ya=gf+4294966782|0,Sa=sg+4294966782|0;else Da=-1,Ya=tg|0,Sa=ug|0;u=24}if(24==u){var za=1<<z,Ta=1==(c|0);if(Ta&851<za>>>0){D=1;break}var jb=2==(c|0);if(jb&591<za>>>0){D=1;break}Ha=Ta;Na=za;tb=Da;Aa=Ya;Xa=Sa;Ia=jb}var eb=Na-1|0,rc=z&255,Ua=a[m],mc=
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-pa=la}if(0==(la|0)){var ua=0;u=37}else ra=la,u=36}while(0);36==u&&(ua=(ra-1&aa)+ra|0);var Va=P+1|0,Fa=(lb<<1)+ia|0,ab=h[Fa>>1]-1&65535;h[Fa>>1]=ab;if(0==ab<<16>>16){if((lb|0)==(t|0))break b;var T=p[e+((p[g+(Va<<1)>>1]&65535)<<1)>>1]&65535}else T=lb;if(!(T>>>0<=z>>>0)){var Y=ua&eb;if((Y|0)!=(mc|0))break}lb=T;P=Va;aa=ua}for(var U=0==($a|0)?z:$a,ca=(pb<<2)+Ua|0,ea=T-U|0,S=ea,Ea=1<<ea;;){var gb=S+U|0;if(gb>>>0>=t>>>0)break;var vb=Ea-(p[(gb<<1>>1)+j]&65535)|0;if(1>(vb|0))break;var Wa=vb<<1,S=S+1|0,Ea=
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-Qa;else{for(var Bb=Qa;;){var xb=Bb>>>1;if(0==(xb&mb|0))break;Bb=xb}if(0==(xb|0))break b;nb=xb}var bb=(nb-1&mb)+nb|0;if(0==(bb|0))break b;Ca=Ka;mb=bb;wb=Ja;qb=Pa;yb=ib}while(0);a[m]=(kb<<2)+a[m]|0;a[f>>2]=z;D=0}}while(0);ma=ia;return D}function ki(c,e){var d,b,f=k[c+28>>2];d=f>>2;var g=c|0,i=a[g>>2],j=c+4|0,m=i+(a[j>>2]-6)|0,h=c+12|0,u=a[h>>2],L=c+16|0,A=a[L>>2],n=u+(A-258)|0,x=k[d+11],q=k[d+12],v=k[d+13],t=f+56|0,w=f+60|0,D=a[d+19],E=a[d+20],C=(1<<a[d+21])-1|0,ga=(1<<a[d+22])-1|0,z=u+A+(e^-1)|0,r=
-f+7104|0,J=v-1|0,F=0==(q|0),Q=a[d+10]-1|0,B=Q+q|0,X=q-1|0,Z=z-1|0,K=z-q|0,fa=i-1|0,G=u-1|0,M=a[w>>2],ma=a[t>>2];a:for(;;){if(15>M>>>0)var Ma=fa+2|0,N=Ma,ta=M+16|0,cb=((y[fa+1|0]&255)<<M)+((y[Ma]&255)<<M+8)+ma|0;else N=fa,ta=M,cb=ma;for(var db=ta,ya=cb,va=cb&C;;){var oa=y[(va<<2)+D|0],wa=p[D+(va<<2)+2>>1],xa=y[(va<<2)+D+1|0]&255,Na=ya>>>(xa>>>0),tb=db-xa|0,Aa=oa&255;if(0==oa<<24>>24){var Xa=G+1|0;l[Xa]=wa&255;var Ia=N,Da=Xa,Ya=tb,Sa=Na;b=57;break}if(0!=(Aa&16|0)){b=7;break}if(0==(Aa&64|0))var Ha=(Na&
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-$=Za,qa=$a;for(var H=$,ba=qa,V=qa&ga;;){var I=p[E+(V<<2)+2>>1],sa=y[(V<<2)+E+1|0]&255,ub=ba>>>(sa>>>0),ha=H-sa|0,ja=y[(V<<2)+E|0]&255;if(0!=(ja&16|0))break;if(0!=(ja&64|0)){a[c+24>>2]=s.__str154|0;a[d]=29;Ta=aa;jb=G;eb=ha;za=ub;break a}var ka=(ub&(1<<ja)-1)+(I&65535)|0,H=ha,ba=ub,V=ka}var W=I&65535,na=ja&15;if(ha>>>0<na>>>0){var ra=aa+1|0,pa=((y[ra]&255)<<ha)+ub|0,la=ha+8|0;if(la>>>0>=na>>>0)var ua=ra,Va=la,Fa=pa;else var ab=aa+2|0,ua=ab,Va=ha+16|0,Fa=((y[ab]&255)<<la)+pa|0}else ua=aa,Va=ha,Fa=ub;
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-v+(B-Ea)|0,rb=Ea-q|0;if(rb>>>0>=Ba>>>0)Wa=Ka,Ga=Ba,hb=G;else{for(var Ra=Ba-rb|0,nb=T-ea|0,Bb=Ka,xb=rb,bb=G;;){var zb=Bb+1|0,Cb=bb+1|0;l[Cb]=l[zb];var ob=xb-1|0;if(0==(ob|0))break;Bb=zb;xb=ob;bb=Cb}var sb=G+K+nb+W|0;if(q>>>0>=Ra>>>0)Wa=J,Ga=Ra,hb=sb;else{for(var Ab=Ra-q|0,Hb=Z+nb|0,Eb=J,Db=q,Gb=sb;;){var Jb=Eb+1|0,Vb=Gb+1|0;l[Vb]=l[Jb];var $b=Db-1|0;if(0==($b|0))break;Eb=Jb;Db=$b;Gb=Vb}Wa=G+Hb+W+(1-Y)|0;Ga=Ab;hb=G+z+nb+W|0}}}else{var Kb=v+(X-Ea)|0;if(Ea>>>0>=Ba>>>0)Wa=Kb,Ga=Ba,hb=G;else{for(var Tb=
-Ba-Ea|0,Fb=T-ea|0,Nb=Z+Fb|0,Lb=Kb,ac=Ea,Mb=G;;){var Ib=Lb+1|0,Wb=Mb+1|0;l[Wb]=l[Ib];var Rb=ac-1|0;if(0==(Rb|0))break;Lb=Ib;ac=Rb;Mb=Wb}Wa=G+Nb+W+(1-Y)|0;Ga=Tb;hb=G+z+Fb+W|0}}while(0);var Yb=2<Ga>>>0;b:do if(Yb)for(var bc=hb,Sb=Ga,nc=Wa;;){l[bc+1|0]=l[nc+1|0];l[bc+2|0]=l[nc+2|0];var Qb=nc+3|0,cc=bc+3|0;l[cc]=l[Qb];var oc=Sb-3|0;if(2>=oc>>>0){var dc=cc,Ob=oc,Ub=Qb;break b}bc=cc;Sb=oc;nc=Qb}else dc=hb,Ob=Ga,Ub=Wa;while(0);if(0==(Ob|0)){Ia=ua;Da=dc;Ya=ca;Sa=U;break}var Zb=dc+1|0;l[Zb]=l[Ub+1|0];if(1>=
-Ob>>>0){Ia=ua;Da=Zb;Ya=ca;Sa=U;break}var jc=dc+2|0;l[jc]=l[Ub+2|0];Ia=ua;Da=jc}else{for(var ec=G+-Y|0,vc=Ba,fc=G;;){l[fc+1|0]=l[ec+1|0];l[fc+2|0]=l[ec+2|0];var kc=ec+3|0,pc=fc+3|0;l[pc]=l[kc];var gc=vc-3|0;if(2>=gc>>>0)break;ec=kc;vc=gc;fc=pc}if(0==(gc|0)){Ia=ua;Da=pc;Ya=ca;Sa=U;break}var tc=fc+4|0;l[tc]=l[ec+4|0];if(1>=gc>>>0){Ia=ua;Da=tc;Ya=ca;Sa=U;break}var qc=fc+5|0;l[qc]=l[ec+5|0];Ia=ua;Da=qc}Ya=ca;Sa=U}while(0);if(!(Ia>>>0<m>>>0&Da>>>0<n>>>0)){Ta=Ia;jb=Da;eb=Ya;za=Sa;break}fa=Ia;G=Da;M=Ya;ma=
-Sa}var hc=eb>>>3,Pb=Ta+-hc|0,ic=eb&7;a[g>>2]=Ta+(1-hc)|0;a[h>>2]=jb+1|0;a[j>>2]=(Pb>>>0<m>>>0?m-Pb|0:m-Pb|0)+5|0;a[L>>2]=(jb>>>0<n>>>0?n-jb|0:n-jb|0)+257|0;a[t>>2]=(1<<ic)-1&za;a[w>>2]=ic}function Pc(c){var e,d=245>c>>>0;do{if(d){var b=11>c>>>0?16:c+11&-8,f=b>>>3;e=k[j>>2];var g=e>>>(f>>>0);if(0!=(g&3|0)){var c=(g&1^1)+f|0,b=c<<1,d=(b<<2)+j+40|0,f=(b+2<<2)+j+40|0,i=k[f>>2],b=i+8|0,g=k[b>>2];if((d|0)==(g|0))a[j>>2]=e&(1<<c^-1);else{if(g>>>0<k[j+16>>2]>>>0)throw D(),"Reached an unreachable!";a[f>>2]=
-g;a[g+12>>2]=d}e=c<<3;a[i+4>>2]=e|3;e=i+(e|4)|0;a[e>>2]|=1;i=b;e=37;break}if(b>>>0<=k[j+8>>2]>>>0){var h=b;e=29;break}if(0!=(g|0)){var c=2<<f,c=g<<f&(c|-c),d=(c&-c)-1|0,c=d>>>12&16,i=d>>>(c>>>0),d=i>>>5&8,f=i>>>(d>>>0),i=f>>>2&4,g=f>>>(i>>>0),f=g>>>1&2,g=g>>>(f>>>0),m=g>>>1&1,i=(d|c|i|f|m)+(g>>>(m>>>0))|0,c=i<<1,f=(c<<2)+j+40|0,g=(c+2<<2)+j+40|0,d=k[g>>2],c=d+8|0,m=k[c>>2];if((f|0)==(m|0))a[j>>2]=e&(1<<i^-1);else{if(m>>>0<k[j+16>>2]>>>0)throw D(),"Reached an unreachable!";a[g>>2]=m;a[m+12>>2]=f}i<<=
-3;e=i-b|0;a[d+4>>2]=b|3;f=d;d=f+b|0;a[f+(b|4)>>2]=e|1;a[f+i>>2]=e;m=k[j+8>>2];if(0!=(m|0)){b=a[j+20>>2];f=m>>>2&1073741822;i=(f<<2)+j+40|0;g=k[j>>2];m=1<<(m>>>3);if(0==(g&m|0))a[j>>2]=g|m,g=i,f=(f+2<<2)+j+40|0;else if(f=(f+2<<2)+j+40|0,g=k[f>>2],!(g>>>0>=k[j+16>>2]>>>0))throw D(),"Reached an unreachable!";a[f>>2]=b;a[g+12>>2]=b;a[(b+8|0)>>2]=g;a[(b+12|0)>>2]=i}a[j+8>>2]=e;a[j+20>>2]=d;i=c;e=37;break}if(0==(a[j+4>>2]|0)){h=b;e=29;break}e=vg(b);if(0==(e|0)){h=b;e=29;break}i=e}else{if(4294967231<c>>>
-0){h=-1;e=29;break}e=c+11&-8;if(0==(a[j+4>>2]|0)){h=e;e=29;break}b=wg(e);if(0==(b|0)){h=e;e=29;break}i=b}e=37}while(0);29==e&&(b=k[j+8>>2],h>>>0>b>>>0?(e=k[j+12>>2],h>>>0<e>>>0?(e=e-h|0,a[j+12>>2]=e,b=k[j+24>>2],a[j+24>>2]=b+h|0,a[h+(b+4)>>2]=e|1,a[b+4>>2]=h|3,i=b+8|0):i=xg(h)):(c=b-h|0,e=k[j+20>>2],15<c>>>0?(a[j+20>>2]=e+h|0,a[j+8>>2]=c,a[h+(e+4)>>2]=c|1,a[e+b>>2]=c,a[e+4>>2]=h|3):(a[j+8>>2]=0,a[j+20>>2]=0,a[e+4>>2]=b|3,h=b+(e+4)|0,a[h>>2]|=1),i=e+8|0));return i}function vg(c){var e,d,b=a[j+4>>2],
-f=(b&-b)-1|0,b=f>>>12&16,g=f>>>(b>>>0),f=g>>>5&8;d=g>>>(f>>>0);var g=d>>>2&4,i=d>>>(g>>>0);d=i>>>1&2;var i=i>>>(d>>>0),h=i>>>1&1,b=f=k[j+((f|b|g|d|h)+(i>>>(h>>>0))<<2)+304>>2];d=b>>2;f=(a[f+4>>2]&-8)-c|0;a:for(;;)for(g=b;;){i=a[g+16>>2];if(0==(i|0)){if(g=a[g+20>>2],0==(g|0))break a}else g=i;i=(a[g+4>>2]&-8)-c|0;if(i>>>0<f>>>0){b=g;d=b>>2;f=i;continue a}}var i=b,m=k[j+16>>2],h=i>>>0<m>>>0;do if(!h){var l=i+c|0,g=l;if(!(i>>>0>=l>>>0)){var h=k[d+6],l=k[d+3],u=(l|0)==(b|0);do{if(u){e=b+20|0;var p=a[e>>
-2];if(0==(p|0)&&(e=b+16|0,p=a[e>>2],0==(p|0))){p=0;e=p>>2;break}for(;;){var A=p+20|0,n=a[A>>2];if(0==(n|0)&&(A=p+16|0,n=k[A>>2],0==(n|0)))break;e=A;p=n}if(e>>>0<m>>>0)throw D(),"Reached an unreachable!";a[e>>2]=0}else{e=k[d+2];if(e>>>0<m>>>0)throw D(),"Reached an unreachable!";a[e+12>>2]=l;a[l+8>>2]=e;p=l}e=p>>2}while(0);m=0==(h|0);a:do if(!m){l=b+28|0;u=(a[l>>2]<<2)+j+304|0;A=(b|0)==(a[u>>2]|0);do{if(A){a[u>>2]=p;if(0!=(p|0))break;a[j+4>>2]&=1<<a[l>>2]^-1;break a}if(h>>>0<k[j+16>>2]>>>0)throw D(),
-"Reached an unreachable!";n=h+16|0;(a[n>>2]|0)==(b|0)?a[n>>2]=p:a[h+20>>2]=p;if(0==(p|0))break a}while(0);if(p>>>0<k[j+16>>2]>>>0)throw D(),"Reached an unreachable!";a[e+6]=h;l=k[d+4];if(0!=(l|0)){if(l>>>0<k[j+16>>2]>>>0)throw D(),"Reached an unreachable!";a[e+4]=l;a[l+24>>2]=p}l=k[d+5];if(0!=(l|0)){if(l>>>0<k[j+16>>2]>>>0)throw D(),"Reached an unreachable!";a[e+5]=l;a[l+24>>2]=p}}while(0);if(16>f>>>0)c=f+c|0,a[d+1]=c|3,c=c+(i+4)|0,a[c>>2]|=1;else{a[d+1]=c|3;a[c+(i+4)>>2]=f|1;a[i+f+c>>2]=f;m=k[j+
-8>>2];if(0!=(m|0)){c=k[j+20>>2];i=m>>>2&1073741822;d=(i<<2)+j+40|0;h=k[j>>2];m=1<<(m>>>3);if(0==(h&m|0))a[j>>2]=h|m,h=d,i=(i+2<<2)+j+40|0;else if(i=(i+2<<2)+j+40|0,h=k[i>>2],!(h>>>0>=k[j+16>>2]>>>0))throw D(),"Reached an unreachable!";a[i>>2]=c;a[h+12>>2]=c;a[c+8>>2]=h;a[c+12>>2]=d}a[j+8>>2]=f;a[j+20>>2]=g}return b+8|0}}while(0);D();throw"Reached an unreachable!";}function wg(c){var e,d,b,f,g,i=c>>2,h=-c|0,m=c>>>8;if(0==(m|0))var l=0;else if(16777215<c>>>0)l=31;else var p=(m+1048320|0)>>>16&8,u=m<<
-p,A=(u+520192|0)>>>16&4,n=u<<A,x=(n+245760|0)>>>16&2,q=14-(A|p|x)+(n<<x>>>15)|0,l=c>>>((q+7|0)>>>0)&1|q<<1;var v=k[j+(l<<2)+304>>2],t=0==(v|0);a:do if(t)var w=0,y=h,s=0;else{var E=31==(l|0)?0:25-(l>>>1)|0,C=0,z=h,r=v;g=r>>2;for(var J=c<<E,F=0;;){var Q=a[g+1]&-8,B=Q-c|0;if(B>>>0<z>>>0){if((Q|0)==(c|0)){w=r;y=B;s=r;break a}var X=r,Z=B}else X=C,Z=z;var K=k[g+5],fa=k[((J>>>31<<2)+16>>2)+g],G=0==(K|0)|(K|0)==(fa|0)?F:K;if(0==(fa|0)){w=X;y=Z;s=G;break a}C=X;z=Z;r=fa;g=r>>2;J<<=1;F=G}}while(0);if(0==(s|
-0)&0==(w|0)){var M=2<<l,ma=a[j+4>>2]&(M|-M);if(0==(ma|0))var ta=s;else var N=(ma&-ma)-1|0,va=N>>>12&16,cb=N>>>(va>>>0),oa=cb>>>5&8,ya=cb>>>(oa>>>0),wa=ya>>>2&4,xa=ya>>>(wa>>>0),za=xa>>>1&2,Ca=xa>>>(za>>>0),Na=Ca>>>1&1,ta=a[j+((oa|va|wa|za|Na)+(Ca>>>(Na>>>0))<<2)+304>>2]}else ta=s;var Ha=0==(ta|0);a:do if(Ha){var Aa=y,Xa=w;f=Xa>>2}else{var Ia=ta;b=Ia>>2;for(var Da=y,Ya=w;;){var Sa=(a[b+1]&-8)-c|0,La=Sa>>>0<Da>>>0,Ta=La?Sa:Da,jb=La?Ia:Ya,eb=k[b+4];if(0!=(eb|0))Ia=eb;else{var Qa=k[b+5];if(0==(Qa|0)){Aa=
-Ta;Xa=jb;f=Xa>>2;break a}Ia=Qa}b=Ia>>2;Da=Ta;Ya=jb}}while(0);var Ua=0==(Xa|0);a:do if(Ua)var Ra=0;else if(Aa>>>0>=(a[j+8>>2]-c|0)>>>0)Ra=0;else{var Ba=Xa;d=Ba>>2;var Oa=k[j+16>>2],Za=Ba>>>0<Oa>>>0;do if(!Za){var $a=Ba+c|0,kb=$a;if(!(Ba>>>0>=$a>>>0)){var fb=k[f+6],pb=k[f+3],lb=(pb|0)==(Xa|0);do{if(lb){var P=Xa+20|0,aa=a[P>>2];if(0==(aa|0)){var $=Xa+16|0,qa=a[$>>2];if(0==(qa|0)){var H=0;e=H>>2;break}var ba=$,V=qa}else ba=P,V=aa;for(;;){var I=V+20|0,sa=a[I>>2];if(0!=(sa|0))ba=I,V=sa;else{var ub=V+16|
-0,ha=k[ub>>2];if(0==(ha|0))break;ba=ub;V=ha}}if(ba>>>0<Oa>>>0)throw D(),"Reached an unreachable!";a[ba>>2]=0;H=V}else{var ja=k[f+2];if(ja>>>0<Oa>>>0)throw D(),"Reached an unreachable!";a[ja+12>>2]=pb;a[pb+8>>2]=ja;H=pb}e=H>>2}while(0);var ka=0==(fb|0);b:do if(!ka){var W=Xa+28|0,na=(a[W>>2]<<2)+j+304|0,ra=(Xa|0)==(a[na>>2]|0);do{if(ra){a[na>>2]=H;if(0!=(H|0))break;a[j+4>>2]&=1<<a[W>>2]^-1;break b}if(fb>>>0<k[j+16>>2]>>>0)throw D(),"Reached an unreachable!";var pa=fb+16|0;(a[pa>>2]|0)==(Xa|0)?a[pa>>
-2]=H:a[fb+20>>2]=H;if(0==(H|0))break b}while(0);if(H>>>0<k[j+16>>2]>>>0)throw D(),"Reached an unreachable!";a[e+6]=fb;var la=k[f+4];if(0!=(la|0)){if(la>>>0<k[j+16>>2]>>>0)throw D(),"Reached an unreachable!";a[e+4]=la;a[la+24>>2]=H}var ua=k[f+5];if(0!=(ua|0)){if(ua>>>0<k[j+16>>2]>>>0)throw D(),"Reached an unreachable!";a[e+5]=ua;a[ua+24>>2]=H}}while(0);var Va=16>Aa>>>0;b:do if(Va){var Fa=Aa+c|0;a[f+1]=Fa|3;var ab=Fa+(Ba+4)|0;a[ab>>2]|=1}else if(a[f+1]=c|3,a[i+(d+1)]=Aa|1,a[(Aa>>2)+d+i]=Aa,256>Aa>>>
-0){var T=Aa>>>2&1073741822,Y=(T<<2)+j+40|0,U=k[j>>2],ca=1<<(Aa>>>3);if(0==(U&ca|0)){a[j>>2]=U|ca;var ea=Y,S=(T+2<<2)+j+40|0}else{var Ea=(T+2<<2)+j+40|0,gb=k[Ea>>2];if(gb>>>0>=k[j+16>>2]>>>0)ea=gb,S=Ea;else throw D(),"Reached an unreachable!";}a[S>>2]=kb;a[ea+12>>2]=kb;a[i+(d+2)]=ea;a[i+(d+3)]=Y}else{var vb=$a,Wa=Aa>>>8;if(0==(Wa|0))var Ga=0;else if(16777215<Aa>>>0)Ga=31;else var hb=(Wa+1048320|0)>>>16&8,ob=Wa<<hb,sb=(ob+520192|0)>>>16&4,mb=ob<<sb,wb=(mb+245760|0)>>>16&2,qb=14-(sb|hb|wb)+(mb<<wb>>>
-15)|0,Ga=Aa>>>((qb+7|0)>>>0)&1|qb<<1;var yb=(Ga<<2)+j+304|0;a[i+(d+7)]=Ga;var ib=c+(Ba+16)|0;a[i+(d+5)]=0;a[ib>>2]=0;var Pa=a[j+4>>2],Ja=1<<Ga;if(0==(Pa&Ja|0))a[j+4>>2]=Pa|Ja,a[yb>>2]=vb,a[i+(d+6)]=yb,a[i+(d+3)]=vb,a[i+(d+2)]=vb;else for(var Ka=Aa<<(31==(Ga|0)?0:25-(Ga>>>1)|0),rb=a[yb>>2];;){if((a[rb+4>>2]&-8|0)==(Aa|0)){var Ab=rb+8|0,nb=k[Ab>>2],Bb=k[j+16>>2],xb=rb>>>0<Bb>>>0;do if(!xb&&!(nb>>>0<Bb>>>0)){a[nb+12>>2]=vb;a[Ab>>2]=vb;a[i+(d+2)]=nb;a[i+(d+3)]=rb;a[i+(d+6)]=0;break b}while(0);D();throw"Reached an unreachable!";
-}var bb=(Ka>>>31<<2)+rb+16|0,zb=k[bb>>2];if(0==(zb|0)){if(bb>>>0>=k[j+16>>2]>>>0){a[bb>>2]=vb;a[i+(d+6)]=rb;a[i+(d+3)]=vb;a[i+(d+2)]=vb;break b}D();throw"Reached an unreachable!";}Ka<<=1;rb=zb}}while(0);Ra=Xa+8|0;break a}}while(0);D();throw"Reached an unreachable!";}while(0);return Ra}function xg(c){var e,d;0==(a[wa>>2]|0)&&hf();var b=0==(a[j+440>>2]&4|0);do if(b){d=a[j+24>>2];if(0==(d|0))d=5;else if(d=od(d),0==(d|0))d=5;else{var f=a[wa+8>>2],f=c+47-a[j+12>>2]+f&-f;if(2147483647<=f>>>0)d=13;else{var g=
-Ca(f);if((g|0)==(a[d>>2]+a[d+4>>2]|0)){var i=g,h=f;e=g;d=12}else{var m=g,l=f;d=14}}}if(5==d)if(d=Ca(0),-1==(d|0))d=13;else{var f=a[wa+8>>2],f=f+(c+47)&-f,g=d,p=a[wa+4>>2],u=p-1|0,f=0==(u&g|0)?f:f-g+(u+g&-p)|0;2147483647<=f>>>0?d=13:(g=Ca(f),(g|0)==(d|0)?(i=d,h=f,e=g,d=12):(m=g,l=f,d=14))}if(13==d)a[j+440>>2]|=4,d=22;else{if(12==d){if(-1!=(i|0)){var A=h,n=i;d=25;break}m=e;l=h}d=-l|0;if(-1!=(m|0)&2147483647>l>>>0)if(l>>>0>=(c+48|0)>>>0){var x=l;d=20}else f=a[wa+8>>2],f=c+47-l+f&-f,2147483647<=f>>>0?
-(x=l,d=20):-1==(Ca(f)|0)?(Ca(d),d=21):(x=f+l|0,d=20);else x=l,d=20;20==d&&-1!=(m|0)?(A=x,n=m,d=25):(a[j+440>>2]|=4,d=22)}}else d=22;while(0);22==d&&(b=a[wa+8>>2],b=b+(c+47)&-b,2147483647<=b>>>0?d=48:(b=Ca(b),i=Ca(0),-1!=(i|0)&-1!=(b|0)&b>>>0<i>>>0?(i=i-b|0,i>>>0<=(c+40|0)>>>0|-1==(b|0)?d=48:(A=i,n=b,d=25)):d=48));a:do if(25==d){b=a[j+432>>2]+A|0;a[j+432>>2]=b;b>>>0>k[j+436>>2]>>>0&&(a[j+436>>2]=b);b=k[j+24>>2];i=0==(b|0);b:do if(i){h=k[j+16>>2];0==(h|0)|n>>>0<h>>>0&&(a[j+16>>2]=n);a[j+444>>2]=n;a[j+
-448>>2]=A;a[j+456>>2]=0;a[j+36>>2]=a[wa>>2];a[j+32>>2]=-1;for(h=0;!(e=h<<1,m=(e<<2)+j+40|0,a[j+(e+3<<2)+40>>2]=m,a[j+(e+2<<2)+40>>2]=m,h=h+1|0,32==(h|0)););pd(n,A-40|0)}else{m=j+444|0;for(e=m>>2;!(0==(m|0));){h=k[e];m=m+4|0;l=k[m>>2];x=h+l|0;if((n|0)==(x|0)){if(0!=(a[e+3]&8|0))break;e=b;if(!(e>>>0>=h>>>0&e>>>0<x>>>0))break;a[m>>2]=l+A|0;pd(a[j+24>>2],a[j+12>>2]+A|0);break b}m=a[e+2];e=m>>2}n>>>0<k[j+16>>2]>>>0&&(a[j+16>>2]=n);e=n+A|0;for(m=j+444|0;!(0==(m|0));){l=m|0;h=k[l>>2];if((h|0)==(e|0)){if(0!=
-(a[m+12>>2]&8|0))break;a[l>>2]=n;var q=m+4|0;a[q>>2]=a[q>>2]+A|0;q=yg(n,h,c);d=49;break a}m=a[m+8>>2]}zg(n,A)}while(0);b=k[j+12>>2];b>>>0<=c>>>0?d=48:(q=b-c|0,a[j+12>>2]=q,i=b=k[j+24>>2],a[j+24>>2]=i+c|0,a[c+(i+4)>>2]=q|1,a[b+4>>2]=c|3,q=b+8|0,d=49)}while(0);48==d&&(a[Z.ret>>2]=12,q=0);return q}function jf(){var c;0==(a[wa>>2]|0)&&hf();var e=k[j+24>>2],d=0==(e|0);a:do if(!d){var b=k[j+12>>2],f=40<b>>>0;do if(f){var g=k[wa+8>>2],i=(Math.floor(((b-41+g|0)>>>0)/(g>>>0))-1)*g|0,h=od(e);if(0==(a[h+12>>
-2]&8|0)){var m=Ca(0);c=(h+4|0)>>2;if((m|0)==(a[h>>2]+a[c]|0)&&(i=Ca(-(2147483646<i>>>0?-2147483648-g|0:i)|0),g=Ca(0),-1!=(i|0)&g>>>0<m>>>0&&(i=m-g|0,(m|0)!=(g|0)))){a[c]=a[c]-i|0;a[j+432>>2]=a[j+432>>2]-i|0;pd(a[j+24>>2],a[j+12>>2]-i|0);break a}}}while(0);k[j+12>>2]>>>0<=k[j+28>>2]>>>0||(a[j+28>>2]=-1)}while(0)}function Ag(c){var e,d,b,f,g,i,h=c>>2,m,l=0==(c|0);a:do if(!l){var p=c-8|0,u=p,A=k[j+16>>2],n=p>>>0<A>>>0;b:do if(!n){var x=k[c-4>>2],q=x&3;if(1!=(q|0)){var v=x&-8;i=v>>2;var t=c+(v-8)|0,w=
-t,y=0==(x&1|0);c:do if(y){var s=k[p>>2];if(0==(q|0))break a;var E=-8-s|0;g=E>>2;var C=c+E|0,z=C,r=s+v|0;if(C>>>0<A>>>0)break b;if((z|0)==(a[j+20>>2]|0)){f=(c+(v-4)|0)>>2;if(3!=(a[f]&3|0)){var J=z;b=J>>2;var F=r;break}a[j+8>>2]=r;a[f]&=-2;a[g+(h+1)]=r|1;a[t>>2]=r;break a}if(256>s>>>0){var Q=k[g+(h+2)],B=k[g+(h+3)];if((Q|0)==(B|0))a[j>>2]&=1<<(s>>>3)^-1,J=z,b=J>>2,F=r;else{var X=((s>>>2&1073741822)<<2)+j+40|0,Z=(Q|0)!=(X|0)&Q>>>0<A>>>0;do if(!Z&&(B|0)==(X|0)|B>>>0>=A>>>0){a[Q+12>>2]=B;a[B+8>>2]=Q;J=
-z;b=J>>2;F=r;break c}while(0);D();throw"Reached an unreachable!";}}else{var K=C,fa=k[g+(h+6)],G=k[g+(h+3)],M=(G|0)==(K|0);do{if(M){var ma=E+(c+20)|0,ta=a[ma>>2];if(0==(ta|0)){var N=E+(c+16)|0,va=a[N>>2];if(0==(va|0)){var oa=0;d=oa>>2;break}var wa=N,ya=va}else wa=ma,ya=ta,m=20;for(;;){var xa=ya+20|0,za=a[xa>>2];if(0!=(za|0))wa=xa,ya=za;else{var Ca=ya+16|0,Ha=k[Ca>>2];if(0==(Ha|0))break;wa=Ca;ya=Ha}}if(wa>>>0<A>>>0)throw D(),"Reached an unreachable!";a[wa>>2]=0;oa=ya}else{var Na=k[g+(h+2)];if(Na>>>
-0<A>>>0)throw D(),"Reached an unreachable!";a[Na+12>>2]=G;a[G+8>>2]=Na;oa=G}d=oa>>2}while(0);if(0!=(fa|0)){var La=E+(c+28)|0,Aa=(a[La>>2]<<2)+j+304|0,Xa=(K|0)==(a[Aa>>2]|0);do{if(Xa){a[Aa>>2]=oa;if(0!=(oa|0))break;a[j+4>>2]&=1<<a[La>>2]^-1;J=z;b=J>>2;F=r;break c}if(fa>>>0<k[j+16>>2]>>>0)throw D(),"Reached an unreachable!";var Ia=fa+16|0;(a[Ia>>2]|0)==(K|0)?a[Ia>>2]=oa:a[fa+20>>2]=oa;if(0==(oa|0)){J=z;b=J>>2;F=r;break c}}while(0);if(oa>>>0<k[j+16>>2]>>>0)throw D(),"Reached an unreachable!";a[d+6]=
-fa;var Da=k[g+(h+4)];if(0!=(Da|0)){if(Da>>>0<k[j+16>>2]>>>0)throw D(),"Reached an unreachable!";a[d+4]=Da;a[Da+24>>2]=oa}var Ya=k[g+(h+5)];if(0!=(Ya|0)){if(Ya>>>0<k[j+16>>2]>>>0)throw D(),"Reached an unreachable!";a[d+5]=Ya;a[Ya+24>>2]=oa}}J=z;b=J>>2;F=r}}else J=u,b=J>>2,F=v;while(0);var Sa=J;if(!(Sa>>>0>=t>>>0)){var Qa=c+(v-4)|0,Ta=k[Qa>>2];if(0!=(Ta&1|0)){var jb=0==(Ta&2|0);do if(jb){if((w|0)==(a[j+24>>2]|0)){var eb=a[j+12>>2]+F|0;a[j+12>>2]=eb;a[j+24>>2]=J;a[b+1]=eb|1;(J|0)==(a[j+20>>2]|0)&&(a[j+
-20>>2]=0,a[j+8>>2]=0);if(eb>>>0<=k[j+28>>2]>>>0)break a;jf();break a}if((w|0)==(a[j+20>>2]|0)){var Ra=a[j+8>>2]+F|0;a[j+8>>2]=Ra;a[j+20>>2]=J;a[b+1]=Ra|1;a[(Sa+Ra|0)>>2]=Ra;break a}var Ua=(Ta&-8)+F|0,ob=Ta>>>3,Ba=256>Ta>>>0;c:do if(Ba){var Oa=k[h+i],Za=k[((v|4)>>2)+h];if((Oa|0)==(Za|0))a[j>>2]&=1<<ob^-1;else{var $a=((Ta>>>2&1073741822)<<2)+j+40|0;m=(Oa|0)==($a|0)?62:Oa>>>0<k[j+16>>2]>>>0?65:62;do if(62==m&&!((Za|0)!=($a|0)&&Za>>>0<k[j+16>>2]>>>0)){a[Oa+12>>2]=Za;a[Za+8>>2]=Oa;break c}while(0);D();
-throw"Reached an unreachable!";}}else{var kb=t,fb=k[i+(h+4)],pb=k[((v|4)>>2)+h],lb=(pb|0)==(kb|0);do{if(lb){var P=v+(c+12)|0,aa=a[P>>2];if(0==(aa|0)){var $=v+(c+8)|0,qa=a[$>>2];if(0==(qa|0)){var H=0;e=H>>2;break}var ba=$,V=qa}else ba=P,V=aa,m=72;for(;;){var I=V+20|0,sa=a[I>>2];if(0!=(sa|0))ba=I,V=sa;else{var ub=V+16|0,ha=k[ub>>2];if(0==(ha|0))break;ba=ub;V=ha}}if(ba>>>0<k[j+16>>2]>>>0)throw D(),"Reached an unreachable!";a[ba>>2]=0;H=V}else{var ja=k[h+i];if(ja>>>0<k[j+16>>2]>>>0)throw D(),"Reached an unreachable!";
-a[ja+12>>2]=pb;a[pb+8>>2]=ja;H=pb}e=H>>2}while(0);if(0!=(fb|0)){var ka=v+(c+20)|0,W=(a[ka>>2]<<2)+j+304|0,na=(kb|0)==(a[W>>2]|0);do{if(na){a[W>>2]=H;if(0!=(H|0))break;a[j+4>>2]&=1<<a[ka>>2]^-1;break c}if(fb>>>0<k[j+16>>2]>>>0)throw D(),"Reached an unreachable!";var ra=fb+16|0;(a[ra>>2]|0)==(kb|0)?a[ra>>2]=H:a[fb+20>>2]=H;if(0==(H|0))break c}while(0);if(H>>>0<k[j+16>>2]>>>0)throw D(),"Reached an unreachable!";a[e+6]=fb;var pa=k[i+(h+2)];if(0!=(pa|0)){if(pa>>>0<k[j+16>>2]>>>0)throw D(),"Reached an unreachable!";
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From 980af7c19376daa2de43df39d3487c3b8bc04b69 Mon Sep 17 00:00:00 2001
From: jamesrobb <james@jamesrobb.com>
Date: Fri, 28 Feb 2014 13:08:46 +0000
Subject: [PATCH 7/7] removed jpg.js dependency for processing TypedArray jpg

---
 examples/images.html     |   2 -
 examples/images/grid.png | Bin 0 -> 979 bytes
 jspdf.plugin.addimage.js |  40 +-
 libs/png_support/jpg.js  | 956 ---------------------------------------
 4 files changed, 34 insertions(+), 964 deletions(-)
 create mode 100644 examples/images/grid.png
 delete mode 100755 libs/png_support/jpg.js

diff --git a/examples/images.html b/examples/images.html
index ae14d49ed..ee42b76a6 100644
--- a/examples/images.html
+++ b/examples/images.html
@@ -14,9 +14,7 @@
     
     <script src='../libs/png_support/zlib.js' type='text/javascript'></script>
 	<script src='../libs/png_support/png.js' type='text/javascript'></script>
-	<script src='../libs/png_support/jpg.js' type='text/javascript'></script>
 	
-	<script src='../libs/Deflate/adler32cs.js' type='text/javascript'></script>
 	<script src='../libs/Deflate/deflate.js' type='text/javascript'></script>
 	
 	<script src='../jspdf.js' type='text/javascript'></script>
diff --git a/examples/images/grid.png b/examples/images/grid.png
new file mode 100644
index 0000000000000000000000000000000000000000..d4f71e344b7b2e03f17b8c755019461f9412003f
GIT binary patch
literal 979
zcmaJ=zi-n(6gKUGT2+DpsURVp+zucS|4Qw|rf!wSE{%kvl13t99s8P?)IR5YB~GTQ
zTNnNYP$wjW80dr$Fv3>E#0U!vh%PLsQn^c$l!0KK@5j^ozW2R*@AlWrcV?!pO>rDI
zQ(ChsbOr3cI6>!=*&hdVxk~IB*+5&Q<6_7ad{l>^6uJ#qfv(?ezlVz)H#r|vYozAf
zH9QmwF7px6Fs5jZTU<_K*K0un>aY<+Cjax*8y*C{$=_EU$%%`w8Lag%+~}37Ua#fp
zKEJ#K7E^-~gpjx(4Y#AjNKL-aYtTJ2i#+JNke11xiK;p4polO8s*ufik}LyF6XXR|
z)8tz~kz_@b=+H9qf}v`Lk^_T}r_r##WmK%yK`eSQ`6eN;A&Q+&N9be)gd3u)>pJ65
zlnnLAB;AO(X(meMh71-=JRHO%KoMY!ZXN9qlc!40QV8P_ZIleIiC&nPy0It=5=&|5
z=s5p(4a1RlLMrfF?>~u?YBz>r1tw?*d$e#{b1YPB6ftxO!c~N}hqt)iL<A*G6ocZ1
z25va67evf(vyX5bqZB2?jXYSgOrCNGLEsx|-m>k2t?Ic|O_uHKij*(tx|CZ{3raDs
zSVOFZyqyq6WQg_8vD#QHYlbkUku8XWhtOZeC<OhajbOZ%>{z}5)*r8BVJudpVnkNj
zze+tc(f(oEQRC9XsP$n)`yJE9zI>&8Odo|^vI^DobN%G>ba_%c{&qC?><h+t{%NEB
zSe`xH{50|5!t~+C+rqDdw)EiLr5C&HmrKmPcl4W1_ojC_@Rs}j<obU5(d)15nU(Ca
J^?YS>?++>AI3EB2

literal 0
HcmV?d00001

diff --git a/jspdf.plugin.addimage.js b/jspdf.plugin.addimage.js
index 98a36f5d3..f97678be7 100644
--- a/jspdf.plugin.addimage.js
+++ b/jspdf.plugin.addimage.js
@@ -581,6 +581,37 @@
 				blockLength = imgData.charCodeAt(i)*256 + imgData.charCodeAt(i+1)
 			}
 		}
+	}
+	, getJpegSizeFromBytes = function(data) {
+		
+		var hdr = (data[0] << 8) | data[1];
+		
+		if(hdr !== 0xFFD8)
+			throw new Error('Supplied data is not a JPEG');
+		
+		var len = data.length,
+			block = (data[4] << 8) + data[5],
+			pos = 4,
+			bytes, width, height;
+		
+		while(pos < len) {
+			pos += block;
+			bytes = readBytes(data, pos);
+			block = (bytes[2] << 8) + bytes[3];
+			if((bytes[1] === 0xC0 || bytes[1] === 0xC2) && bytes[0] === 0xFF && block > 7) {
+				bytes = readBytes(data, pos + 5);
+				width = (bytes[2] << 8) + bytes[3];
+				height = (bytes[0] << 8) + bytes[1];
+				return {width:width, height:height};
+			}
+			
+			pos+=2;
+		}
+		
+		throw new Error('getJpegSizeFromBytes could not find the size of the image');
+	}
+	, readBytes = function(data, offset) {
+		return data.subarray(offset, offset+ 4);
 	};
 	
 	
@@ -601,15 +632,12 @@
 		
 		if(this.isArrayBufferView(data)) {
 			
-			var img = new JpegImage();
-			img.parse(data);
+			dims = getJpegSizeFromBytes(data);
 			
-			/*
-			 * if we already have a stored binary string rep use that
-			 */
+			// if we already have a stored binary string rep use that
 			data = dataAsBinaryString || this.arrayBufferToBinaryString(data);
 			
-			return this.createImageInfo(data, img.width, img.height, colorSpace, bpc, filter, index, alias);
+			return this.createImageInfo(data, dims.width, dims.height, colorSpace, bpc, filter, index, alias);
 		}
 		
 		return null;
diff --git a/libs/png_support/jpg.js b/libs/png_support/jpg.js
deleted file mode 100755
index 51398eee2..000000000
--- a/libs/png_support/jpg.js
+++ /dev/null
@@ -1,956 +0,0 @@
-/* -*- Mode: Java; tab-width: 2; indent-tabs-mode: nil; c-basic-offset: 2 -*- /
-/* vim: set shiftwidth=2 tabstop=2 autoindent cindent expandtab: */
-/*
-   Copyright 2011 notmasteryet
-
-   Licensed under the Apache License, Version 2.0 (the "License");
-   you may not use this file except in compliance with the License.
-   You may obtain a copy of the License at
-
-       http://www.apache.org/licenses/LICENSE-2.0
-
-   Unless required by applicable law or agreed to in writing, software
-   distributed under the License is distributed on an "AS IS" BASIS,
-   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-   See the License for the specific language governing permissions and
-   limitations under the License.
-*/
-
-// - The JPEG specification can be found in the ITU CCITT Recommendation T.81
-//   (www.w3.org/Graphics/JPEG/itu-t81.pdf)
-// - The JFIF specification can be found in the JPEG File Interchange Format
-//   (www.w3.org/Graphics/JPEG/jfif3.pdf)
-// - The Adobe Application-Specific JPEG markers in the Supporting the DCT Filters
-//   in PostScript Level 2, Technical Note #5116
-//   (partners.adobe.com/public/developer/en/ps/sdk/5116.DCT_Filter.pdf)
-
-var JpegImage = (function jpegImage() {
-  "use strict";
-  var dctZigZag = new Int32Array([
-     0,
-     1,  8,
-    16,  9,  2,
-     3, 10, 17, 24,
-    32, 25, 18, 11, 4,
-     5, 12, 19, 26, 33, 40,
-    48, 41, 34, 27, 20, 13,  6,
-     7, 14, 21, 28, 35, 42, 49, 56,
-    57, 50, 43, 36, 29, 22, 15,
-    23, 30, 37, 44, 51, 58,
-    59, 52, 45, 38, 31,
-    39, 46, 53, 60,
-    61, 54, 47,
-    55, 62,
-    63
-  ]);
-
-  var dctCos1  =  4017   // cos(pi/16)
-  var dctSin1  =   799   // sin(pi/16)
-  var dctCos3  =  3406   // cos(3*pi/16)
-  var dctSin3  =  2276   // sin(3*pi/16)
-  var dctCos6  =  1567   // cos(6*pi/16)
-  var dctSin6  =  3784   // sin(6*pi/16)
-  var dctSqrt2 =  5793   // sqrt(2)
-  var dctSqrt1d2 = 2896  // sqrt(2) / 2
-
-  function constructor() {
-  }
-
-  function buildHuffmanTable(codeLengths, values) {
-    var k = 0, code = [], i, j, length = 16;
-    while (length > 0 && !codeLengths[length - 1])
-      length--;
-    code.push({children: [], index: 0});
-    var p = code[0], q;
-    for (i = 0; i < length; i++) {
-      for (j = 0; j < codeLengths[i]; j++) {
-        p = code.pop();
-        p.children[p.index] = values[k];
-        while (p.index > 0) {
-          p = code.pop();
-        }
-        p.index++;
-        code.push(p);
-        while (code.length <= i) {
-          code.push(q = {children: [], index: 0});
-          p.children[p.index] = q.children;
-          p = q;
-        }
-        k++;
-      }
-      if (i + 1 < length) {
-        // p here points to last code
-        code.push(q = {children: [], index: 0});
-        p.children[p.index] = q.children;
-        p = q;
-      }
-    }
-    return code[0].children;
-  }
-
-  function decodeScan(data, offset,
-                      frame, components, resetInterval,
-                      spectralStart, spectralEnd,
-                      successivePrev, successive) {
-    var precision = frame.precision;
-    var samplesPerLine = frame.samplesPerLine;
-    var scanLines = frame.scanLines;
-    var mcusPerLine = frame.mcusPerLine;
-    var progressive = frame.progressive;
-    var maxH = frame.maxH, maxV = frame.maxV;
-
-    var startOffset = offset, bitsData = 0, bitsCount = 0;
-    function readBit() {
-      if (bitsCount > 0) {
-        bitsCount--;
-        return (bitsData >> bitsCount) & 1;
-      }
-      bitsData = data[offset++];
-      if (bitsData == 0xFF) {
-        var nextByte = data[offset++];
-        if (nextByte) {
-          throw "unexpected marker: " + ((bitsData << 8) | nextByte).toString(16);
-        }
-        // unstuff 0
-      }
-      bitsCount = 7;
-      return bitsData >>> 7;
-    }
-    function decodeHuffman(tree) {
-      var node = tree, bit;
-      while ((bit = readBit()) !== null) {
-        node = node[bit];
-        if (typeof node === 'number')
-          return node;
-        if (typeof node !== 'object')
-          throw "invalid huffman sequence";
-      }
-      return null;
-    }
-    function receive(length) {
-      var n = 0;
-      while (length > 0) {
-        var bit = readBit();
-        if (bit === null) return;
-        n = (n << 1) | bit;
-        length--;
-      }
-      return n;
-    }
-    function receiveAndExtend(length) {
-      var n = receive(length);
-      if (n >= 1 << (length - 1))
-        return n;
-      return n + (-1 << length) + 1;
-    }
-    function decodeBaseline(component, zz) {
-      var t = decodeHuffman(component.huffmanTableDC);
-      var diff = t === 0 ? 0 : receiveAndExtend(t);
-      zz[0]= (component.pred += diff);
-      var k = 1;
-      while (k < 64) {
-        var rs = decodeHuffman(component.huffmanTableAC);
-        var s = rs & 15, r = rs >> 4;
-        if (s === 0) {
-          if (r < 15)
-            break;
-          k += 16;
-          continue;
-        }
-        k += r;
-        var z = dctZigZag[k];
-        zz[z] = receiveAndExtend(s);
-        k++;
-      }
-    }
-    function decodeDCFirst(component, zz) {
-      var t = decodeHuffman(component.huffmanTableDC);
-      var diff = t === 0 ? 0 : (receiveAndExtend(t) << successive);
-      zz[0] = (component.pred += diff);
-    }
-    function decodeDCSuccessive(component, zz) {
-      zz[0] |= readBit() << successive;
-    }
-    var eobrun = 0;
-    function decodeACFirst(component, zz) {
-      if (eobrun > 0) {
-        eobrun--;
-        return;
-      }
-      var k = spectralStart, e = spectralEnd;
-      while (k <= e) {
-        var rs = decodeHuffman(component.huffmanTableAC);
-        var s = rs & 15, r = rs >> 4;
-        if (s === 0) {
-          if (r < 15) {
-            eobrun = receive(r) + (1 << r) - 1;
-            break;
-          }
-          k += 16;
-          continue;
-        }
-        k += r;
-        var z = dctZigZag[k];
-        zz[z] = receiveAndExtend(s) * (1 << successive);
-        k++;
-      }
-    }
-    var successiveACState = 0, successiveACNextValue;
-    function decodeACSuccessive(component, zz) {
-      var k = spectralStart, e = spectralEnd, r = 0;
-      while (k <= e) {
-        var z = dctZigZag[k];
-        switch (successiveACState) {
-        case 0: // initial state
-          var rs = decodeHuffman(component.huffmanTableAC);
-          var s = rs & 15, r = rs >> 4;
-          if (s === 0) {
-            if (r < 15) {
-              eobrun = receive(r) + (1 << r);
-              successiveACState = 4;
-            } else {
-              r = 16;
-              successiveACState = 1;
-            }
-          } else {
-            if (s !== 1)
-              throw "invalid ACn encoding";
-            successiveACNextValue = receiveAndExtend(s);
-            successiveACState = r ? 2 : 3;
-          }
-          continue;
-        case 1: // skipping r zero items
-        case 2:
-          if (zz[z])
-            zz[z] += (readBit() << successive);
-          else {
-            r--;
-            if (r === 0)
-              successiveACState = successiveACState == 2 ? 3 : 0;
-          }
-          break;
-        case 3: // set value for a zero item
-          if (zz[z])
-            zz[z] += (readBit() << successive);
-          else {
-            zz[z] = successiveACNextValue << successive;
-            successiveACState = 0;
-          }
-          break;
-        case 4: // eob
-          if (zz[z])
-            zz[z] += (readBit() << successive);
-          break;
-        }
-        k++;
-      }
-      if (successiveACState === 4) {
-        eobrun--;
-        if (eobrun === 0)
-          successiveACState = 0;
-      }
-    }
-    function decodeMcu(component, decode, mcu, row, col) {
-      var mcuRow = (mcu / mcusPerLine) | 0;
-      var mcuCol = mcu % mcusPerLine;
-      var blockRow = mcuRow * component.v + row;
-      var blockCol = mcuCol * component.h + col;
-      decode(component, component.blocks[blockRow][blockCol]);
-    }
-    function decodeBlock(component, decode, mcu) {
-      var blockRow = (mcu / component.blocksPerLine) | 0;
-      var blockCol = mcu % component.blocksPerLine;
-      decode(component, component.blocks[blockRow][blockCol]);
-    }
-
-    var componentsLength = components.length;
-    var component, i, j, k, n;
-    var decodeFn;
-    if (progressive) {
-      if (spectralStart === 0)
-        decodeFn = successivePrev === 0 ? decodeDCFirst : decodeDCSuccessive;
-      else
-        decodeFn = successivePrev === 0 ? decodeACFirst : decodeACSuccessive;
-    } else {
-      decodeFn = decodeBaseline;
-    }
-
-    var mcu = 0, marker;
-    var mcuExpected;
-    if (componentsLength == 1) {
-      mcuExpected = components[0].blocksPerLine * components[0].blocksPerColumn;
-    } else {
-      mcuExpected = mcusPerLine * frame.mcusPerColumn;
-    }
-    if (!resetInterval) resetInterval = mcuExpected;
-
-    var h, v;
-    while (mcu < mcuExpected) {
-      // reset interval stuff
-      for (i = 0; i < componentsLength; i++)
-        components[i].pred = 0;
-      eobrun = 0;
-
-      if (componentsLength == 1) {
-        component = components[0];
-        for (n = 0; n < resetInterval; n++) {
-          decodeBlock(component, decodeFn, mcu);
-          mcu++;
-        }
-      } else {
-        for (n = 0; n < resetInterval; n++) {
-          for (i = 0; i < componentsLength; i++) {
-            component = components[i];
-            h = component.h;
-            v = component.v;
-            for (j = 0; j < v; j++) {
-              for (k = 0; k < h; k++) {
-                decodeMcu(component, decodeFn, mcu, j, k);
-              }
-            }
-          }
-          mcu++;
-        }
-      }
-
-      // find marker
-      bitsCount = 0;
-      marker = (data[offset] << 8) | data[offset + 1];
-      if (marker <= 0xFF00) {
-        throw "marker was not found";
-      }
-
-      if (marker >= 0xFFD0 && marker <= 0xFFD7) { // RSTx
-        offset += 2;
-      }
-      else
-        break;
-    }
-
-    return offset - startOffset;
-  }
-
-  function buildComponentData(frame, component) {
-    var lines = [];
-    var blocksPerLine = component.blocksPerLine;
-    var blocksPerColumn = component.blocksPerColumn;
-    var samplesPerLine = blocksPerLine << 3;
-    var R = new Int32Array(64), r = new Uint8Array(64);
-
-    // A port of poppler's IDCT method which in turn is taken from:
-    //   Christoph Loeffler, Adriaan Ligtenberg, George S. Moschytz,
-    //   "Practical Fast 1-D DCT Algorithms with 11 Multiplications",
-    //   IEEE Intl. Conf. on Acoustics, Speech & Signal Processing, 1989,
-    //   988-991.
-    function quantizeAndInverse(zz, dataOut, dataIn) {
-      var qt = component.quantizationTable;
-      var v0, v1, v2, v3, v4, v5, v6, v7, t;
-      var p = dataIn;
-      var i;
-
-      // dequant
-      for (i = 0; i < 64; i++)
-        p[i] = zz[i] * qt[i];
-
-      // inverse DCT on rows
-      for (i = 0; i < 8; ++i) {
-        var row = 8 * i;
-
-        // check for all-zero AC coefficients
-        if (p[1 + row] == 0 && p[2 + row] == 0 && p[3 + row] == 0 &&
-            p[4 + row] == 0 && p[5 + row] == 0 && p[6 + row] == 0 &&
-            p[7 + row] == 0) {
-          t = (dctSqrt2 * p[0 + row] + 512) >> 10;
-          p[0 + row] = t;
-          p[1 + row] = t;
-          p[2 + row] = t;
-          p[3 + row] = t;
-          p[4 + row] = t;
-          p[5 + row] = t;
-          p[6 + row] = t;
-          p[7 + row] = t;
-          continue;
-        }
-
-        // stage 4
-        v0 = (dctSqrt2 * p[0 + row] + 128) >> 8;
-        v1 = (dctSqrt2 * p[4 + row] + 128) >> 8;
-        v2 = p[2 + row];
-        v3 = p[6 + row];
-        v4 = (dctSqrt1d2 * (p[1 + row] - p[7 + row]) + 128) >> 8;
-        v7 = (dctSqrt1d2 * (p[1 + row] + p[7 + row]) + 128) >> 8;
-        v5 = p[3 + row] << 4;
-        v6 = p[5 + row] << 4;
-
-        // stage 3
-        t = (v0 - v1+ 1) >> 1;
-        v0 = (v0 + v1 + 1) >> 1;
-        v1 = t;
-        t = (v2 * dctSin6 + v3 * dctCos6 + 128) >> 8;
-        v2 = (v2 * dctCos6 - v3 * dctSin6 + 128) >> 8;
-        v3 = t;
-        t = (v4 - v6 + 1) >> 1;
-        v4 = (v4 + v6 + 1) >> 1;
-        v6 = t;
-        t = (v7 + v5 + 1) >> 1;
-        v5 = (v7 - v5 + 1) >> 1;
-        v7 = t;
-
-        // stage 2
-        t = (v0 - v3 + 1) >> 1;
-        v0 = (v0 + v3 + 1) >> 1;
-        v3 = t;
-        t = (v1 - v2 + 1) >> 1;
-        v1 = (v1 + v2 + 1) >> 1;
-        v2 = t;
-        t = (v4 * dctSin3 + v7 * dctCos3 + 2048) >> 12;
-        v4 = (v4 * dctCos3 - v7 * dctSin3 + 2048) >> 12;
-        v7 = t;
-        t = (v5 * dctSin1 + v6 * dctCos1 + 2048) >> 12;
-        v5 = (v5 * dctCos1 - v6 * dctSin1 + 2048) >> 12;
-        v6 = t;
-
-        // stage 1
-        p[0 + row] = v0 + v7;
-        p[7 + row] = v0 - v7;
-        p[1 + row] = v1 + v6;
-        p[6 + row] = v1 - v6;
-        p[2 + row] = v2 + v5;
-        p[5 + row] = v2 - v5;
-        p[3 + row] = v3 + v4;
-        p[4 + row] = v3 - v4;
-      }
-
-      // inverse DCT on columns
-      for (i = 0; i < 8; ++i) {
-        var col = i;
-
-        // check for all-zero AC coefficients
-        if (p[1*8 + col] == 0 && p[2*8 + col] == 0 && p[3*8 + col] == 0 &&
-            p[4*8 + col] == 0 && p[5*8 + col] == 0 && p[6*8 + col] == 0 &&
-            p[7*8 + col] == 0) {
-          t = (dctSqrt2 * dataIn[i+0] + 8192) >> 14;
-          p[0*8 + col] = t;
-          p[1*8 + col] = t;
-          p[2*8 + col] = t;
-          p[3*8 + col] = t;
-          p[4*8 + col] = t;
-          p[5*8 + col] = t;
-          p[6*8 + col] = t;
-          p[7*8 + col] = t;
-          continue;
-        }
-
-        // stage 4
-        v0 = (dctSqrt2 * p[0*8 + col] + 2048) >> 12;
-        v1 = (dctSqrt2 * p[4*8 + col] + 2048) >> 12;
-        v2 = p[2*8 + col];
-        v3 = p[6*8 + col];
-        v4 = (dctSqrt1d2 * (p[1*8 + col] - p[7*8 + col]) + 2048) >> 12;
-        v7 = (dctSqrt1d2 * (p[1*8 + col] + p[7*8 + col]) + 2048) >> 12;
-        v5 = p[3*8 + col];
-        v6 = p[5*8 + col];
-
-        // stage 3
-        t = (v0 - v1 + 1) >> 1;
-        v0 = (v0 + v1 + 1) >> 1;
-        v1 = t;
-        t = (v2 * dctSin6 + v3 * dctCos6 + 2048) >> 12;
-        v2 = (v2 * dctCos6 - v3 * dctSin6 + 2048) >> 12;
-        v3 = t;
-        t = (v4 - v6 + 1) >> 1;
-        v4 = (v4 + v6 + 1) >> 1;
-        v6 = t;
-        t = (v7 + v5 + 1) >> 1;
-        v5 = (v7 - v5 + 1) >> 1;
-        v7 = t;
-
-        // stage 2
-        t = (v0 - v3 + 1) >> 1;
-        v0 = (v0 + v3 + 1) >> 1;
-        v3 = t;
-        t = (v1 - v2 + 1) >> 1;
-        v1 = (v1 + v2 + 1) >> 1;
-        v2 = t;
-        t = (v4 * dctSin3 + v7 * dctCos3 + 2048) >> 12;
-        v4 = (v4 * dctCos3 - v7 * dctSin3 + 2048) >> 12;
-        v7 = t;
-        t = (v5 * dctSin1 + v6 * dctCos1 + 2048) >> 12;
-        v5 = (v5 * dctCos1 - v6 * dctSin1 + 2048) >> 12;
-        v6 = t;
-
-        // stage 1
-        p[0*8 + col] = v0 + v7;
-        p[7*8 + col] = v0 - v7;
-        p[1*8 + col] = v1 + v6;
-        p[6*8 + col] = v1 - v6;
-        p[2*8 + col] = v2 + v5;
-        p[5*8 + col] = v2 - v5;
-        p[3*8 + col] = v3 + v4;
-        p[4*8 + col] = v3 - v4;
-      }
-
-      // convert to 8-bit integers
-      for (i = 0; i < 64; ++i) {
-        var sample = 128 + ((p[i] + 8) >> 4);
-        dataOut[i] = sample < 0 ? 0 : sample > 0xFF ? 0xFF : sample;
-      }
-    }
-
-    var i, j;
-    for (var blockRow = 0; blockRow < blocksPerColumn; blockRow++) {
-      var scanLine = blockRow << 3;
-      for (i = 0; i < 8; i++)
-        lines.push(new Uint8Array(samplesPerLine));
-      for (var blockCol = 0; blockCol < blocksPerLine; blockCol++) {
-        quantizeAndInverse(component.blocks[blockRow][blockCol], r, R);
-
-        var offset = 0, sample = blockCol << 3;
-        for (j = 0; j < 8; j++) {
-          var line = lines[scanLine + j];
-          for (i = 0; i < 8; i++)
-            line[sample + i] = r[offset++];
-        }
-      }
-    }
-    return lines;
-  }
-
-  function clampTo8bit(a) {
-    return a < 0 ? 0 : a > 255 ? 255 : a;
-  }
-
-  constructor.prototype = {
-    load: function load(path) {
-      var xhr = new XMLHttpRequest();
-      xhr.open("GET", path, true);
-      xhr.responseType = "arraybuffer";
-      xhr.onload = (function() {
-        // TODO catch parse error
-        var data = new Uint8Array(xhr.response || xhr.mozResponseArrayBuffer);
-        this.parse(data);
-        if (this.onload)
-          this.onload();
-      }).bind(this);
-      xhr.send(null);
-    },
-    parse: function parse(data) {
-      var offset = 0, length = data.length;
-      function readUint16() {
-        var value = (data[offset] << 8) | data[offset + 1];
-        offset += 2;
-        return value;
-      }
-      function readDataBlock() {
-        var length = readUint16();
-        var array = data.subarray(offset, offset + length - 2);
-        offset += array.length;
-        return array;
-      }
-      function prepareComponents(frame) {
-        var maxH = 0, maxV = 0;
-        var component, componentId;
-        for (componentId in frame.components) {
-          if (frame.components.hasOwnProperty(componentId)) {
-            component = frame.components[componentId];
-            if (maxH < component.h) maxH = component.h;
-            if (maxV < component.v) maxV = component.v;
-          }
-        }
-        var mcusPerLine = Math.ceil(frame.samplesPerLine / 8 / maxH);
-        var mcusPerColumn = Math.ceil(frame.scanLines / 8 / maxV);
-        for (componentId in frame.components) {
-          if (frame.components.hasOwnProperty(componentId)) {
-            component = frame.components[componentId];
-            var blocksPerLine = Math.ceil(Math.ceil(frame.samplesPerLine / 8) * component.h / maxH);
-            var blocksPerColumn = Math.ceil(Math.ceil(frame.scanLines  / 8) * component.v / maxV);
-            var blocksPerLineForMcu = mcusPerLine * component.h;
-            var blocksPerColumnForMcu = mcusPerColumn * component.v;
-            var blocks = [];
-            for (var i = 0; i < blocksPerColumnForMcu; i++) {
-              var row = [];
-              for (var j = 0; j < blocksPerLineForMcu; j++)
-                row.push(new Int32Array(64));
-              blocks.push(row);
-            }
-            component.blocksPerLine = blocksPerLine;
-            component.blocksPerColumn = blocksPerColumn;
-            component.blocks = blocks;
-          }
-        }
-        frame.maxH = maxH;
-        frame.maxV = maxV;
-        frame.mcusPerLine = mcusPerLine;
-        frame.mcusPerColumn = mcusPerColumn;
-      }
-      var jfif = null;
-      var adobe = null;
-      var pixels = null;
-      var frame, resetInterval;
-      var quantizationTables = [], frames = [];
-      var huffmanTablesAC = [], huffmanTablesDC = [];
-      var fileMarker = readUint16();
-      if (fileMarker != 0xFFD8) { // SOI (Start of Image)
-        throw "SOI not found";
-      }
-
-      fileMarker = readUint16();
-      while (fileMarker != 0xFFD9) { // EOI (End of image)
-        var i, j, l;
-        switch(fileMarker) {
-          case 0xFFE0: // APP0 (Application Specific)
-          case 0xFFE1: // APP1
-          case 0xFFE2: // APP2
-          case 0xFFE3: // APP3
-          case 0xFFE4: // APP4
-          case 0xFFE5: // APP5
-          case 0xFFE6: // APP6
-          case 0xFFE7: // APP7
-          case 0xFFE8: // APP8
-          case 0xFFE9: // APP9
-          case 0xFFEA: // APP10
-          case 0xFFEB: // APP11
-          case 0xFFEC: // APP12
-          case 0xFFED: // APP13
-          case 0xFFEE: // APP14
-          case 0xFFEF: // APP15
-          case 0xFFFE: // COM (Comment)
-            var appData = readDataBlock();
-
-            if (fileMarker === 0xFFE0) {
-              if (appData[0] === 0x4A && appData[1] === 0x46 && appData[2] === 0x49 &&
-                appData[3] === 0x46 && appData[4] === 0) { // 'JFIF\x00'
-                jfif = {
-                  version: { major: appData[5], minor: appData[6] },
-                  densityUnits: appData[7],
-                  xDensity: (appData[8] << 8) | appData[9],
-                  yDensity: (appData[10] << 8) | appData[11],
-                  thumbWidth: appData[12],
-                  thumbHeight: appData[13],
-                  thumbData: appData.subarray(14, 14 + 3 * appData[12] * appData[13])
-                };
-              }
-            }
-            // TODO APP1 - Exif
-            if (fileMarker === 0xFFEE) {
-              if (appData[0] === 0x41 && appData[1] === 0x64 && appData[2] === 0x6F &&
-                appData[3] === 0x62 && appData[4] === 0x65 && appData[5] === 0) { // 'Adobe\x00'
-                adobe = {
-                  version: appData[6],
-                  flags0: (appData[7] << 8) | appData[8],
-                  flags1: (appData[9] << 8) | appData[10],
-                  transformCode: appData[11]
-                };
-              }
-            }
-            break;
-
-          case 0xFFDB: // DQT (Define Quantization Tables)
-            var quantizationTablesLength = readUint16();
-            var quantizationTablesEnd = quantizationTablesLength + offset - 2;
-            while (offset < quantizationTablesEnd) {
-              var quantizationTableSpec = data[offset++];
-              var tableData = new Int32Array(64);
-              if ((quantizationTableSpec >> 4) === 0) { // 8 bit values
-                for (j = 0; j < 64; j++) {
-                  var z = dctZigZag[j];
-                  tableData[z] = data[offset++];
-                }
-              } else if ((quantizationTableSpec >> 4) === 1) { //16 bit
-                for (j = 0; j < 64; j++) {
-                  var z = dctZigZag[j];
-                  tableData[z] = readUint16();
-                }
-              } else
-                throw "DQT: invalid table spec";
-              quantizationTables[quantizationTableSpec & 15] = tableData;
-            }
-            break;
-
-          case 0xFFC0: // SOF0 (Start of Frame, Baseline DCT)
-          case 0xFFC1: // SOF1 (Start of Frame, Extended DCT)
-          case 0xFFC2: // SOF2 (Start of Frame, Progressive DCT)
-            readUint16(); // skip data length
-            frame = {};
-            frame.extended = (fileMarker === 0xFFC1);
-            frame.progressive = (fileMarker === 0xFFC2);
-            frame.precision = data[offset++];
-            frame.scanLines = readUint16();
-            frame.samplesPerLine = readUint16();
-            frame.components = {};
-            frame.componentsOrder = [];
-            var componentsCount = data[offset++], componentId;
-            var maxH = 0, maxV = 0;
-            for (i = 0; i < componentsCount; i++) {
-              componentId = data[offset];
-              var h = data[offset + 1] >> 4;
-              var v = data[offset + 1] & 15;
-              var qId = data[offset + 2];
-              frame.componentsOrder.push(componentId);
-              frame.components[componentId] = {
-                h: h,
-                v: v,
-                quantizationTable: quantizationTables[qId]
-              };
-              offset += 3;
-            }
-            prepareComponents(frame);
-            frames.push(frame);
-            break;
-
-          case 0xFFC4: // DHT (Define Huffman Tables)
-            var huffmanLength = readUint16();
-            for (i = 2; i < huffmanLength;) {
-              var huffmanTableSpec = data[offset++];
-              var codeLengths = new Uint8Array(16);
-              var codeLengthSum = 0;
-              for (j = 0; j < 16; j++, offset++)
-                codeLengthSum += (codeLengths[j] = data[offset]);
-              var huffmanValues = new Uint8Array(codeLengthSum);
-              for (j = 0; j < codeLengthSum; j++, offset++)
-                huffmanValues[j] = data[offset];
-              i += 17 + codeLengthSum;
-
-              ((huffmanTableSpec >> 4) === 0 ? 
-                huffmanTablesDC : huffmanTablesAC)[huffmanTableSpec & 15] =
-                buildHuffmanTable(codeLengths, huffmanValues);
-            }
-            break;
-
-          case 0xFFDD: // DRI (Define Restart Interval)
-            readUint16(); // skip data length
-            resetInterval = readUint16();
-            break;
-
-          case 0xFFDA: // SOS (Start of Scan)
-            var scanLength = readUint16();
-            var selectorsCount = data[offset++];
-            var components = [], component;
-            for (i = 0; i < selectorsCount; i++) {
-              component = frame.components[data[offset++]];
-              var tableSpec = data[offset++];
-              component.huffmanTableDC = huffmanTablesDC[tableSpec >> 4];
-              component.huffmanTableAC = huffmanTablesAC[tableSpec & 15];
-              components.push(component);
-            }
-            var spectralStart = data[offset++];
-            var spectralEnd = data[offset++];
-            var successiveApproximation = data[offset++];
-            var processed = decodeScan(data, offset,
-              frame, components, resetInterval,
-              spectralStart, spectralEnd,
-              successiveApproximation >> 4, successiveApproximation & 15);
-            offset += processed;
-            break;
-          default:
-            if (data[offset - 3] == 0xFF &&
-                data[offset - 2] >= 0xC0 && data[offset - 2] <= 0xFE) {
-              // could be incorrect encoding -- last 0xFF byte of the previous
-              // block was eaten by the encoder
-              offset -= 3;
-              break;
-            }
-            throw "unknown JPEG marker " + fileMarker.toString(16);
-        }
-        fileMarker = readUint16();
-      }
-      if (frames.length != 1)
-        throw "only single frame JPEGs supported";
-
-      this.width = frame.samplesPerLine;
-      this.height = frame.scanLines;
-      this.jfif = jfif;
-      this.adobe = adobe;
-      this.components = [];
-      for (var i = 0; i < frame.componentsOrder.length; i++) {
-        var component = frame.components[frame.componentsOrder[i]];
-        this.components.push({
-          lines: buildComponentData(frame, component),
-          scaleX: component.h / frame.maxH,
-          scaleY: component.v / frame.maxV
-        });
-      }
-    },
-    getData: function getData(width, height) {
-      var scaleX = this.width / width, scaleY = this.height / height;
-
-      var component1, component2, component3, component4;
-      var component1Line, component2Line, component3Line, component4Line;
-      var x, y;
-      var offset = 0;
-      var Y, Cb, Cr, K, C, M, Ye, R, G, B;
-      var colorTransform;
-      var dataLength = width * height * this.components.length;
-      var data = new Uint8Array(dataLength);
-      switch (this.components.length) {
-        case 1:
-          component1 = this.components[0];
-          for (y = 0; y < height; y++) {
-            component1Line = component1.lines[0 | (y * component1.scaleY * scaleY)];
-            for (x = 0; x < width; x++) {
-              Y = component1Line[0 | (x * component1.scaleX * scaleX)];
-
-              data[offset++] = Y;
-            }
-          }
-          break;
-        case 2:
-          // PDF might compress two component data in custom colorspace
-          component1 = this.components[0];
-          component2 = this.components[1];
-          for (y = 0; y < height; y++) {
-            component1Line = component1.lines[0 | (y * component1.scaleY * scaleY)];
-            component2Line = component2.lines[0 | (y * component2.scaleY * scaleY)];
-            for (x = 0; x < width; x++) {
-              Y = component1Line[0 | (x * component1.scaleX * scaleX)];
-              data[offset++] = Y;
-              Y = component2Line[0 | (x * component2.scaleX * scaleX)];
-              data[offset++] = Y;
-            }
-          }
-          break;
-        case 3:
-          // The default transform for three components is true
-          colorTransform = true;
-          // The adobe transform marker overrides any previous setting
-          if (this.adobe && this.adobe.transformCode)
-            colorTransform = true;
-          else if (typeof this.colorTransform !== 'undefined')
-            colorTransform = !!this.colorTransform;
-
-          component1 = this.components[0];
-          component2 = this.components[1];
-          component3 = this.components[2];
-          for (y = 0; y < height; y++) {
-            component1Line = component1.lines[0 | (y * component1.scaleY * scaleY)];
-            component2Line = component2.lines[0 | (y * component2.scaleY * scaleY)];
-            component3Line = component3.lines[0 | (y * component3.scaleY * scaleY)];
-            for (x = 0; x < width; x++) {
-              if (!colorTransform) {
-                R = component1Line[0 | (x * component1.scaleX * scaleX)];
-                G = component2Line[0 | (x * component2.scaleX * scaleX)];
-                B = component3Line[0 | (x * component3.scaleX * scaleX)];
-              } else {
-                Y = component1Line[0 | (x * component1.scaleX * scaleX)];
-                Cb = component2Line[0 | (x * component2.scaleX * scaleX)];
-                Cr = component3Line[0 | (x * component3.scaleX * scaleX)];
-
-                R = clampTo8bit(Y + 1.402 * (Cr - 128));
-                G = clampTo8bit(Y - 0.3441363 * (Cb - 128) - 0.71413636 * (Cr - 128));
-                B = clampTo8bit(Y + 1.772 * (Cb - 128));
-              }
-
-              data[offset++] = R;
-              data[offset++] = G;
-              data[offset++] = B;
-            }
-          }
-          break;
-        case 4:
-          if (!this.adobe)
-            throw 'Unsupported color mode (4 components)';
-          // The default transform for four components is false
-          colorTransform = false;
-          // The adobe transform marker overrides any previous setting
-          if (this.adobe && this.adobe.transformCode)
-            colorTransform = true;
-          else if (typeof this.colorTransform !== 'undefined')
-            colorTransform = !!this.colorTransform;
-
-          component1 = this.components[0];
-          component2 = this.components[1];
-          component3 = this.components[2];
-          component4 = this.components[3];
-          for (y = 0; y < height; y++) {
-            component1Line = component1.lines[0 | (y * component1.scaleY * scaleY)];
-            component2Line = component2.lines[0 | (y * component2.scaleY * scaleY)];
-            component3Line = component3.lines[0 | (y * component3.scaleY * scaleY)];
-            component4Line = component4.lines[0 | (y * component4.scaleY * scaleY)];
-            for (x = 0; x < width; x++) {
-              if (!colorTransform) {
-                C = component1Line[0 | (x * component1.scaleX * scaleX)];
-                M = component2Line[0 | (x * component2.scaleX * scaleX)];
-                Ye = component3Line[0 | (x * component3.scaleX * scaleX)];
-                K = component4Line[0 | (x * component4.scaleX * scaleX)];
-              } else {
-                Y = component1Line[0 | (x * component1.scaleX * scaleX)];
-                Cb = component2Line[0 | (x * component2.scaleX * scaleX)];
-                Cr = component3Line[0 | (x * component3.scaleX * scaleX)];
-                K = component4Line[0 | (x * component4.scaleX * scaleX)];
-
-                C = 255 - clampTo8bit(Y + 1.402 * (Cr - 128));
-                M = 255 - clampTo8bit(Y - 0.3441363 * (Cb - 128) - 0.71413636 * (Cr - 128));
-                Ye = 255 - clampTo8bit(Y + 1.772 * (Cb - 128));
-              }
-              data[offset++] = C;
-              data[offset++] = M;
-              data[offset++] = Ye;
-              data[offset++] = K;
-            }
-          }
-          break;
-        default:
-          throw 'Unsupported color mode';
-      }
-      return data;
-    },
-    copyToImageData: function copyToImageData(imageData) {
-      var width = imageData.width, height = imageData.height;
-      var imageDataArray = imageData.data;
-      var data = this.getData(width, height);
-      var i = 0, j = 0, x, y;
-      var Y, K, C, M, R, G, B;
-      switch (this.components.length) {
-        case 1:
-          for (y = 0; y < height; y++) {
-            for (x = 0; x < width; x++) {
-              Y = data[i++];
-
-              imageDataArray[j++] = Y;
-              imageDataArray[j++] = Y;
-              imageDataArray[j++] = Y;
-              imageDataArray[j++] = 255;
-            }
-          }
-          break;
-        case 3:
-          for (y = 0; y < height; y++) {
-            for (x = 0; x < width; x++) {
-              R = data[i++];
-              G = data[i++];
-              B = data[i++];
-
-              imageDataArray[j++] = R;
-              imageDataArray[j++] = G;
-              imageDataArray[j++] = B;
-              imageDataArray[j++] = 255;
-            }
-          }
-          break;
-        case 4:
-          for (y = 0; y < height; y++) {
-            for (x = 0; x < width; x++) {
-              C = data[i++];
-              M = data[i++];
-              Y = data[i++];
-              K = data[i++];
-
-              R = 255 - clampTo8bit(C * (1 - K / 255) + K);
-              G = 255 - clampTo8bit(M * (1 - K / 255) + K);
-              B = 255 - clampTo8bit(Y * (1 - K / 255) + K);
-
-              imageDataArray[j++] = R;
-              imageDataArray[j++] = G;
-              imageDataArray[j++] = B;
-              imageDataArray[j++] = 255;
-            }
-          }
-          break;
-        default:
-          throw 'Unsupported color mode';
-      }
-    }
-  };
-
-  return constructor;
-})();