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Precomputing a Word Table Before Creating an Object open System type NameLookupService = abstract Contains : string -> bool let buildSimpleNameLookup (words: string list) = let wordTable = SetofList words let score (w1:string) (w2:string) = let lim = min w1Length w2Length let rec loop i acc = if i >= lim then acc else loop (i+1) (int w1[i] - int w2[i] + acc) loop 0 0 { new NameLookupService with member tContains(w) = wordTableContains(w) } The internal data structure used in Listing 8-3 is the same as before: an F# set of type MicrosoftFSharpCollectionsSet<string> The service can now be instantiated and used as follows: > let capitalLookup = buildSimpleNameLookup ["London";"Paris";"Warsaw";"Tokyo"];; val capitalLookup : NameLookupService > capitalLookup.

It s a nice feature to have, but unfortunately, the system only executes this operation for FileVault images, and not standard encrypted disk images. For manually created encrypted images like this, it is possible to reclaim this disk space from the command line, using the previously discussed hdiutil command as seen here:

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As of Android 2.2, you still need to download this as a separate app for most phones. Some phones may include gesture software installed by the manufacturer. Samsung includes gesture search (Swype) in its modified Android phones, like the Behold. Google Gesture Search (Figure 13 2) is an experimental search method that lets you draw letters on the screen with your finger in order to search your phone and the Web. It works best with large gestures forming uppercase block letters. As you write, search results from your apps and contacts will appear. As soon as you see your intended target, just click it.

Contains "Paris";; val it : bool = true In passing, note the following about this implementation: The table is built based on the F# default ordinal comparison for strings This isn t always an appropriate choice when you re using natural-language text You can specify the exact comparison function to use when building sets based on string values by creating a custom key type with a custom comparison function You can extend the returned service to support a richer set of queries of the underlying information by adding further methods to the object returned..

$ hdiutil compact ~/Desktop/myimage.sparseimage Starting to compact Reclaiming free space .................................................................................. .............................................................. Finishing compaction .................................................................................. .............................................................. Reclaimed 404 MB out of 7.7 GB possible.

Precomputation of the kind used previously is an essential technique for implementing many services and abstractions, from simple functions to sophisticated computation engines. You see further examples of these techniques in 9.

In this example, we have reclaimed roughly 400MB off the disk, though certainly the results can be much more dramatic than that when run on a FileVault image for a user hasn t logged out for a while. The amount of time needed to perform the operation will vary depending upon the amount of space needing to be reclaimed.

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