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Throughout the writing of Contributing to Eclipse we have received the enthusiastic, detailed, and only occasionally annoying support of a fabulous community of reviewers The first time we incorporated a comment from a reviewer we tried to remember to add his or her name to the following list If we've forgotten to add you, please remind us, and we'll get your name in the next printing The reviewers whose names we caught were: Frank Sauer, Jan Schulz, Dave W, Bob Foster, Binyan, Jeff Duska, Tom Ayerst, Richard Kuo, Wirianto Djunaidi, Don Estberg, Andreas Guther, Vincent Massol, John Pickler, The Silicon Valley Patterns Group, Russ Rufer, Tracy Bialik, John Brewer, Jerry Lewis, Jeff Miller, Patrick Manion, Carol Thistlethwaite, Pei-wei Wu, Chris Lopez, Ken Hejmanowski, Walter Vannini, Azad Bolour, Thomas Roche, Phil Goodwin, Carsten Heyl, Ed Burnette, Joe Bowbeer, David Loeffler, Jim Sawyer, Alex Blewitt, Laurent Bendel, Tom Killa, Bill Schauweker, Jan Ploski, Jan Looney, Rich Smith, Andy Farley, Debbie Utley, Ivan Moore, Geoff Gibbs, Mark Barkan, Florian Hawlitzek, Steve Blass, Mayuresh Kadu, Ricardo Lecheta, Stefan Baramov, Arne H nle, Peter Friese, Randy Gordon, Frank Sauer, Andy Yang, Eric Pieters, Tobias Widmer, Bernard Gaffney, James Howe, Matt Dickie, Lee R Nackman, and Wim Engels Joel Rosi-Schwartz and Betty Rosi-Schwartz also reviewed the manuscript Bard Bloom effectively pointed out weak spots in Circle Zero Any remaining errors are our responsibility Our special thanks to the committers of Eclipseorg, who gave us timely and thorough technical feedback We received in-depth manuscript-wide feedback (more than once) from Andr Weinand, Dirk B umer, John Wiegand, and Kai-Uwe M tzel The essays in Circle Three were reviewed by Jim des Rivi res, Nick Edgar, Philippe Mulet, and Steve Northover Daniel Megert and Martin schlimann checked the source and text for details Mike Hendrickson and Eric Evans provided timely technical assistance Kent would like to especially thank Erich for putting in the extra effort it took to get this book finished I enjoy our professional relationship more han I can say We would like to thank Cindee Andres for working tirelessly to improve the quality of our prose Our thanks also to Jo lle Andres-Beck for focusing her attention on our book and finding the forward pointers problem Finally, we would like to thank our publication team Lynda D'Arcangelo, Tyrrell Albaugh, and John Fuller Mike Hendrickson encouraged us to get the book started Our editors, John Wait and John Neidhart, stepped in to give us support when we needed it most The marketing team, led by Chris Guzikowski, deftly communicated the vision of this book to buyers.

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True Color versus Palette The examples in this book assume that the output device uses the RGB color model to display images and that each component is represented using 8 bits and is in the range 0-2553 This is the color representation used by most personal computer systems Such a system can produce 16,777,216 (2563) distinct colors There are computer systems that use more bits to represent color, for example the 12-bit grayscale frequently used for medical images Some image formats support data with more than 8 bits per component (12 for JPEG, 16 for PNG) For the remainder of this discussion we are going to assume that you are working on a system that uses 8 bits per component Two methods are commonly used to assign one of the possible colors to a pixel The simplest is o store the color value for each pixel in the compressed data For images with 24 bits per pixel, each pixel has a 3-byte color value associated with it Images that use 24 bits or more are called true color because over the range of colors a monitor can display, 24 bits per pixel is the limit of color differences that a human can distinguish The problem with 24-bit graphics is that while a system may be capable of displaying 16,777,216 different colors, it may not be able to do so simultaneously Older computers may not even have a video card capable of using a 24-bit display mode Newer computers may not have enough video memory to operate in 24-bit mode at higher screen resolutions A display on a personal computer set at a resolution of 1024 768 pixels would require 2,359,296 (1024 768 3 = 225 MB) of video memory to display 24-bit images If the computer had only 2 MB of video memory it could not display 24-bit images at this resolution but could do so at a lower resolution of 800 x 600 (800 600 3 = 14 MB) The solution devised to represent colors before the days of displays capable of 24 bits per pixel was to define a color palette that selects a subset of the possible colors Conceptually the palette is a 1-dimensional array of 3-byte elements that specify the color Rather than directly specifying the color, each pixel value is an index into the color palette The most common size for a palette is 256 entries where each pixel value consists of 8 bits Most computers today can.

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smallest possible number of bits (almost always 9) When the number of codes becomes too large to be represented by the current code size, the code size is increased by 1 bit If the initial code size is 9, codes are output using 9 bits until code 512 is created Then the code size is automatically bumped up to 10 bits Likewise, after reaching 1024 it is increased to 11 bits Twelve bits is the maximum code size allowed by GIF When the code values reach 212-1, GIF encoders and decoders stop adding to the dictionary A GIF encoder can output a special clear code to instruct the decoder to reset the dictionary to its initial state An encoder may wish o output a clear code whenever it detects a situation where compression would be improved by using a new dictionary An obvious situation where this might be desirable is after the maximum code sized is reached Repeated clear codes are legal, but wasteful The value for the clear code is not fixed, but rather depends upon the minimum code size that followed the image header The minimum code size gives the number of bits used to encode the pixel data Usually this value is 8 bits per pixel, but pixel values for images that do not use 256 colors can be compressed using fewer bits Table 1211 shows the relationship of the minimum code size to the code usage within a GIF image The end code is used to mark the end of a compressed stream Dictionary Structure In the GIF compression and decompression examples we used an array of strings to represent the dictionary Normally the dictionary is represented as a tree structure Figure 127 shows how the strings generated from compressing the string ABABCABD can be arranged in a tree structure A code can be translated to a string by starting at the tree node for the code and working to the tree root Translating the code by walking the tree from a leaf to the root produces the string in reverse order In Figure 127, following the code 260 gives "DBA" A stack is used to put the string in the correct order While walking the tree, each time a leaf node is reached, the corresponding character is pushed on the stack When you reach the root of the tree, you pop characters off in the correct order The tree can be represented as an array of structures Since the maximum code length is 12 bits, the maximum number of tree nodes is 212 The size of the stack is also 212 characters.

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"This well-conceived and well-written book has extensive knowledge and priceless experience overflowing from its pages It captures the true essence of ASPNET and walks the reader to a high level of technical and 861 Properties and Fred Maples, architectural skill"-JAppearance Director of Software Engineering, NASDAQcom Essential ASPNET with Examples in Visual the C# NET, the first thing users of your control will see is the When a control you build is used in C# is Studio programmer's definitive reference for ASPNET through version 11 It graphic that represents your control with the information neededthereof To associatethe cool 16-by-16 provides experienced programmers in the Toolbox or the lack to fully understand a technology, and is ayour control, you must create tobitmap that is 16 well architected Web applications Toolbox image with lear guide to using ASPNET a build robust and by 16 pixels The lower left pixel of the bitmap is used as the transparent color when the control is rendered in the Toolbox The file name of the This book beginsthe full class nameof the rationale behind the designis associated Foran introduction to how bitmap must be with a discussion of the control class with which it of ASPNET and example, if you have it builds a control classNET framework Subsequent chapters explore the host bitmap features in ASPNET, defined on top of the named Control1 in the MyControls namespace, the of new file for that control includingnamed MyControlsControl1bmp Finally, theclasses, server-side controls, form validation, the must be the server-side compilation model, code-behind bitmap needs to be compiled into the control data binding an embedded resource You can do this inThroughout the book,project by setting the Build assembly as model, and custom control development a Visual Studio NET working examples illustrate best practices for building to Embedded Resourcein C# Action of the bitmap file Web-based applications Be aware that Visual Studio NET prepends the default namespace associated with your project to any embedded resources, so you must either take that into Among the topics explored in depth are: file to ensure that it matches the control class name, or remove the consideration when naming your bitmap default namespace from your project altogether (accessible through the project properties dialog) In a command-line compilation, you can embed a bitmap as a resource by using the /resource switch ASPNET architecture referencing the bitmap file The entire process of associating a Toolbox bitmap with your control is shown in FigureWeb forms 8-6 Configuration HTTP pipeline Diagnostics and error handling Validation Data binding Custom controls Caching State management.

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