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So far, we have seen that we can draw various images on graphics surfaces by using DrawImage We have also seen how to implement rotate, flip, fit-height, fit-width, and zoom features An imaging application may need to provide even more features, including scaling, skewing, and high-performance rendering Using GDI+, we can do all of this very easily We will discuss some of these issues in this chapter and some of them in 8 The DrawImage method has about two dozen overloaded forms one of which lets us provide the destination points for an image The original image will be drawn after its coordinates are mapped to the destination points a process called skewing We will see an example in a moment First let's examine the necessary form of DrawImage To translate an image from its original coordinates to the mapped coordinates, an application needs to create an array of new coordinates and call DrawImage, passing this array as the second parameter For example, the following code snippet creates an array of points and passes it to the DrawImage method



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O'Reilly Network Safari Bookshelf Jini Specifications, The, Second Edition errors are bound to occur These errors occur because the programmer is not aware of the difference between local and remote access and what is actually happening "under the covers" The alternative is to explain the difference between local and remote access, making the programmer aware that remote address space access is very different from local access Even if some of the pain is taken away by using an interface definition language like that specified in [1] and having it generate an intelligent language mapping for operation invocation on distributed objects, the programmer aware of the difference will not make the mistake of using pointers for cross address space access The programmer will know it is incorrect By not masking the difference, the programmer is able to learn when to use one method of access and when to use the other Just as with latency, it is logically possible that the difference between local and remote memory access could be completely papered over and a single model of both presented to the programmer When we turn to the problems introduced to distributed computing by partial failure and concurrency, however, it is not clear that such a unification is even conceptually possible





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Point[] pts = { new Point(X0, Y0), new Point(X1, Y1), new Point(X2, Y2) }; gDrawImage(curImage, pts); Now let's create a Windows application and add a MainMenu control with an Open File menu item Let's also add a button to the form Our final form will look like Figure 736

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Now we add the following variables to the application:

While unlikely, it is at least logically possible that the differences in latency and memory access between local computing and distributed computing could be masked It is not clear that such a masking could be done in such a way that the local computing paradigm could be used to produce distributed applications, but it might still be possible to allow some new programming technique to be used for both activities Such a masking does not even seem to be logically possible, however, in the case of partial failure and concurrency These aspects appear to be different in kind in the case of distributed [2] and local computing

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private Bitmap curBitmap = null; private bool skewImage = false; Point[] pts = { new Point(150, 20), new Point(20, 50), new Point(150, 300) }; The complete code is given in Listing 723 The Open File menu item click event handler opens an image and creates a Bitmap object from the selected file The paint event handler views the image If skewImage is true, the paint event handler calls theDrawImage method with an array of points The Skew Image button click event handler simply sets skewImage to true

private void OpenFileMenu_Click(object sender, SystemEventArgs e) { OpenFileDialog openDlg = new OpenFileDialog(); openDlgFilter = "All Bitmap files|*bmp;*gif;*jpg;"; string filter = openDlgFilter; openDlgTitle = "Open Bitmap File"; openDlgShowHelp = true; if(openDlgShowDialog() == DialogResultOK) { curBitmap = new Bitmap(openDlgFileName); } Invalidate(); } private void Form1_Paint(object sender, SystemWindowsFormsPaintEventArgs e) { // Create a Graphics object Graphics g = eGraphics; gClear(thisBackColor); if(curBitmap != null) { if(skewImage) { gDrawImage(curBitmap, pts); } else

In fact, authors such as Schroeder[12] and Hadzilacos and Toueg[13] take partial failure and concurrency to be the defining problems of distributed computing

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