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about the .NET Compact framework here: http://msdn2.microsoft.com/en-us/netframework/ aa497273.aspx.
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> let isCapital = isWord ["London";"Paris";"Warsaw";"Tokyo"];; val isCapital : (string -> bool) > isCapital "Paris";; val it : bool = true > isCapital "Manchester";; val it : bool = false Here, the internal table wordTable is computed as soon as isCapital is applied to one argument. It would be a mistake to write isCapital as follows: let isCapitalSlow inp = isWord ["London";"Paris";"Warsaw";"Tokyo"] inp This function computes the same results as isCapital. However, it does so inefficiently, because isWord is applied to both its first argument and its second argument every time you use the function isCapitalSlow. This means the internal table is rebuilt every time the function isCapitalSlow is applied, somewhat defeating the point of having an internal table in the first place. In a similar vein, the definition of isCapital shown previously is more efficient than either isCapitalSlow2 or isCapitalSlow3 in the following: let isWordSlow2 (words: string list) (word:string) = List.exists (fun word2 -> word = word2) words let isCapitalSlow2 inp = isWordSlow2 ["London";"Paris";"Warsaw";"Tokyo"] inp let isWordSlow3 (words: string list) (w:string) = let wordTable = Set.Create(words) wordTable.Contains(w) let isCapitalSlow3 inp = isWordSlow3 ["London";"Paris";"Warsaw";"Tokyo"] inp The first uses an inappropriate data structure for the lookup (an F# list, which has O(n) lookup time), and the second attempts to build a better intermediate data structure (an F# set, which has O(log n) lookup time) but does so on every invocation. There are often trade-offs between different intermediate data structures or whether to use intermediate data structures at all. For example, in the previous example, you could just as well use a HashSet as the internal data structure. This approach in general gives better lookup times (constant time), but it requires slightly more care to use because a HashSet is a mutable data structure. In this case, you don t mutate the data structure after you create it, and you don t reveal it to the outside world, so it s entirely safe: #r "System.Core.dll" let isWord (words: string list) = let wordTable = System.Collections.Generic.HashSet<_>(words) fun word -> wordTable.Contains(word)
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Before moving onto building a layout from these pieces, you need to make one more change to the basic structure. You can see in Figure 17-2 that the combination of main content and sidebar B does not fill the width of the theme. Similarly, the main content with no sidebars is also too narrow. To resolve this problem, you can define three CSS classes that specify different widths for the main content, as shown in Listing 17-6. Listing 17-6. Special Class Rules in style.css #main-content { float: left; text-align: left; padding: 0 10px 0 5px; } .main-content-norm { width: 340px; } .main-content-wide { width: 530px; } .main-content-full { width: 720px; } This way, you can specify in the code of the template which width to use. Listings 17-7 and 17-8 show the changes in index.php and the main-content.php include file to continue using the default value. I ll explain how this code works in the next section. Listing 17-7. Setting the Class Variable in index.php <div id="pagecontent"> < php $main_content_class = 'main-content-norm'; > < php include_once('main-content.php'); >
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CHAPTER 7: Securing Web Browsers and E-mail
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Note Forcibly aborting computations uncooperatively isn t recommended in .NET programming. You can
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Your application will use the org.apache.lucene.search.IndexSearcher class to search the index for a query. After you construct the query, you can create a new IndexSearcher class. IndexSearcher takes a path to a Lucene index as an argument to the constructor. Two other constructors exist for using an existing org.apache.lucene.index.IndexReader object, or an instance of the org.apache.lucene.store.Directory object. If you would like to support federated searches, where results are aggregated from more than one index, you can use the org.apache.lucene.search.MultiSearcher class. Lucene indexes are stored in Directory objects, which could be on the file system or in memory. We use the default file system implementation, but the org.apache.lucene.store.RAMDirectory class supports a memory-only index.
This step is a bit tricky. There is no built-in tool in Visual Studio to compile XML documentation files into a .CHM file. One option is to apply your own style sheets to the output XML file and get HTML documentation. The HTML files thus generated can be further fed to HTML Help Workshop to generate a .CHM file. Luckily, Microsoft has developed a command-line tool called Sandcastle that simplifies your job.
Troubleshooting with a Custom Sink
In this appendix, you learned to create custom implementations of the XmlReader and XmlWriter classes. The XmlReader and XmlWriter classes are abstract classes. To create custom readers and writers, you need to inherit from them and override various properties and methods. This way, you can easily extend the out-of-the-box functionality exposed by these classes for a specific scenario.
Note The steps required to configure SSL support vary widely between web application server platforms.
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