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data[ firstElement-1 ] = SORT_MIN; /* The elements in positions firstElement through sortBoundary-1 are always sorted. In each pass through the loop, sortBoundary is increased, and the element at the position of the new sortBoundary probably isn't in its sorted place in the array, so it's inserted into the proper place somewhere between firstElement and sortBoundary. */ for ( int sortBoundary = firstElement+1; sortBoundary <= lastElement; sortBoundary++ ) { int insertVal = data[ sortBoundary ]; int insertPos = sortBoundary; while ( insertVal < data[ insertPos-1 ] ) { data[ insertPos ] = data[ insertPos-1 ]; insertPos = insertPos-1; } data[ insertPos ] = insertVal; } /* Replace original lower-boundary element */ data[ firstElement-1 ] = lowerBoundary; }
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This code is the same as Listing 31-1 s. Although most people would agree that the code s layout is much better than the first example s, the code is still not very readable. The layout is still crowded and offers no clue to the routine s logical organization. It s at about 0 on the number line of bad-to-good layout. The first example was contrived, but the second one isn t at all uncommon. I ve seen programs several thousand lines long with layout at least as bad as this; with no documentation and bad variable names, overall readability was worse than in this example. This code is formatted for the computer. There s no evidence that the author expected the code to be read by humans. Listing 31-3 is an improvement.
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Listing 31-3. Java layout example #3.
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/* Use the insertion sort technique to sort the "data" array in ascending order. This routine assumes that data[ firstElement ] is not the first element in data and that data[ firstElement-1 ] can be accessed. */ public void InsertionSort( int[] data, int firstElement, int lastElement ) { // Replace element at lower boundary with an element guaranteed to be // first in a sorted list. int lowerBoundary = data[ firstElement-1 ]; data[ firstElement-1 ] = SORT_MIN; /* The elements in positions firstElement through sortBoundary-1 are
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31. Layout and Style
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always sorted. In each pass through the loop, sortBoundary is increased, and the element at the position of the new sortBoundary probably isn't in its sorted place in the array, so it's inserted into the proper place somewhere between firstElement and sortBoundary. */ for ( int sortBoundary = firstElement + 1; sortBoundary <= lastElement; sortBoundary++ ) { int insertVal = data[ sortBoundary ]; int insertPos = sortBoundary; while ( insertVal < data[ insertPos - 1 ] ) { data[ insertPos ] = data[ insertPos - 1 ]; insertPos = insertPos - 1; } data[ insertPos ] = insertVal; } // Replace original lower-boundary element data[ firstElement - 1 ] = lowerBoundary; }
This layout of the routine is a strong positive on the number line of bad-to-good layout. The routine is now laid out according to principles that are explained throughout this chapter. The routine has become much more readable, and the effort that has been put into documentation and good variable names is now evident. The variable names were just as good in the earlier examples, but the layout was so poor that they weren t helpful. The only difference between this example and the first two is the use of white space the code and comments are exactly the same. White space is of use only to human readers your computer could interpret any of the three fragments with equal ease. Don t feel bad if you can t do as well as your computer! Still another formatting example is shown in Figure 31-1. It s based on a sourcecode format developed by Ronald M. Baecker and Aaron Marcus (1990). In addition to using white space as the previous example did, it uses shading, different typefaces, and other typographic techniques. Baecker and Marcus have developed a tool that automatically prints normal source code in a way similar to that shown in Figure 31-1. Although the tool isn t commercially available, this sample is a glimpse of the source-code layout support that tools will offer within the next few years.
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