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If you re creating highly dynamic forms, you need a way to create the controls and a technique to ensure they all end in the right place. You could calculate control sizes and positions by hand, but it can quickly lead to complex and convoluted code. Another solution is to use one of .NET s layout panels. These container controls, which are new in .NET 2.0, automatically organize all the contained child controls based on specific rules. The control layout panels extend the possibilities for form layout, but they also complicate your application. As a general rule of thumb, you shouldn t use a control layout engine if you can get all the functionality you need using docking, anchoring, the Control.AutoSize property, and container controls like the Panel and SplitContainer (which are described in 3). These controls allow you to create a wide range of control layouts, and are easy to work with at design time. However, if you need to programmatically create a highly configurable interface or you need one of the specific resizing behaviors discussed in the following sections, you can consider using a specialized layout control instead.

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public partial class SmallOrLargeForm : Form { public SmallOrLargeForm () { this.Font = SystemFonts.IconTitleFont; InitializeComponent(); SystemEvents.UserPreferenceChanged += new UserPreferenceChangedEventHandler(SystemEvents_UserPreferenceChanged); } private void SystemEvents_UserPreferenceChanged(object sender, UserPreferenceChangedEventArgs e) { if (e.Category == UserPreferenceCategory.Window) { this.Font = SystemFonts.IconTitleFont; } } protected override void Dispose(bool disposing) { if (disposing) { SystemEvents.UserPreferenceChanged -= new UserPreferenceChangedEventHandler( SystemEvents_UserPreferenceChanged); if (components != null) components.Dispose(); } base.Dispose(disposing); } } Assuming the Form.AutoScaleMode is set to AutoScaleMode.Font (the default), your form and all its controls will resize to fit the new fonts. However, the result still isn t perfect, and you may find that your alignment goes slightly out of whack with some controls. A better solution to dealing with on-screen elements that may change in size is to use the layout controls described in 21.

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Note You will notice in the code snippet in Listing 13-8 that you are using generic objects such as Database and DbCommand instead of the OracleNETDatabase or OracleCommand classes in your code. As you learned earlier, an Abstract Factory patterned class creates the specific (concrete) DAOs internally but hands you a generic DAO. By using the generic DAO in your code, you keep the details of the underlying data source separate from your code. You could now technically go to the app.config file and change your connection string and provider type to point to a Microsoft SQL Server database, and assuming the Products table is there, your code would still work without requiring any modification.

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Some controls (namely buttons, labels, and menu items) allow a character in their caption to be highlighted and used as an access key. For example, button controls often underline one character in the caption. If the user presses the Alt key and that character, the button is clicked automatically. To configure these shortcut keys just add an ampersand (&) before the special letter, as in Sa&ve to make v the access key. (If you actually want to use an ampersand, you ll need to include two ampersands: &&.)

Because the data in the smaller set is sorted, the database server can employ a fast binary search algorithm on the data to eliminate records that do not meet the criteria. Figure 2-4 depicts this new situation. A binary search algorithm is one method of efficiently processing a sorted list to determine rows that match a given value of the sorted criteria. It does so by cutting the set of data in half (thus the term binary) repeatedly, with each iteration comparing the supplied value with the value where the cut was made. If the supplied value is greater than the value at the cut, the lower half of the data set is ignored, thus eliminating the need to compare those values. The reverse happens when the skipped to value is less than the supplied search criteria. This comparison repeats until there are no more values to compare. This seems more complicated than the first scenario, right At first glance, it does seem more complex, but this scenario is actually significantly faster than the former, because it doesn t loop through as many elements. The binary search algorithm was able to eliminate the need to do a comparison on each of the records, and in doing so reduced the overall computational complexity of our request for the database server. Using the smaller set of sorted weight data, we are able to avoid needing to load all the record data into memory in order to compare the product weights to our search criteria.

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