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let isWordSlow2 (words: string list) (w:string) = List.mem w 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 indeed whether to use intermediate data structures at all. For example, in the previous example, we could just as well have used an F# HashSet as the internal data structure. This will in general give better lookup times (constant time), but it requires slightly more care to use since a HashSet is a mutable data structure. In this case, we don t mutate the data structure at all after we create it, and we don t reveal it to the outside world, so it is entirely safe: let isWord (words: string list) = let wordTable = HashSet.Create(words) fun w -> wordTable.Contains(w)

many as 50 or 100 F# source code files. Having many small assemblies may seem tempting, such as to improve compilation times during development, but can lead to difficulties when you re managing updates and can be confusing to end users. Large assemblies are easier to version: you have to update only one component, and you can package multiple updates into a single new version of the DLL.

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MySQL is a relational database management system designed for use in client/server architectures MySQL can also be used as an embedded database library Of course, if you have used MySQL before, you are familiar with its capabilities and no doubt have decided to choose MySQL for some or all of your database needs MySQL has become the world s most popular and most successful open source database system This popularity is due in large part to its reliability, performance, and ease of use There are over 8 million installations of MySQL products worldwide MySQL AB s success can be attributed to a sound core values statement: To make superior data management software available and affordable to all.

The examples of precomputation given previously are variations on the theme of computing functions, introduced in 3. The functions computed capture the precomputed intermediate data structures. However, it is also clear that precomputing via partial applications and functions can be subtle, because it really matters when you apply the first argument of a function (triggering the construction of intermediate data structures) and when you apply the subsequent arguments (triggering the real computation that uses the intermediate data structures). Luckily, functions don t just have to compute functions; they can also return more sophisticated values such as objects. This can help make it clear when precomputation is being performed. It also allows you to build richer services based on precomputed results. For example, Listing 8-3 shows how to use precomputation as part of building a name lookup service. The returned object includes both a Contains method and a ClosestPrefixMatch method. Listing 8-3. Precomputing a Word Table Before Creating an Object open System type NameLookupService = abstract Contains : string -> bool abstract ClosestPrefixMatch : string -> string

Small programs are often used as both interactive scripts and as small compiled applications. Here are some useful facts to know about scripting with F# and F# Interactive: Small F# scripts use the extension .fsx. You can use the scripting directive #load from F# Interactive to load and compile one or more source code files as if they had been compiled using the commandline compiler. You can load one script from another script by the F# Interactive directive #use. This is very much like #load except that the file being loaded may contain further scripting directives. You can reference DLLs from within scripts by using the #r and #I directives, which act like the -r and -I directives of the F# command-line compiler. You can access command-line arguments from within scripts by using the expression fsi.CommandLineArgs. Within compiled code, you should use System.Environment.GetCommandLineArgs. Within code used in both modes, you should use conditional compilation to switch between these, as shown in the next coding example. You can run a script on startup by using the --exec command-line option for fsi.exe or by giving a single file name on the command line. You can find other command-line options by using fsi.exe --help.

This core values statement is manifested by MySQL AB s key business objectives to make its database system products The world s best and most widely used Affordable and available to everyone Easy to use Continuously improved while maintaining speed and data integrity Fun and easy to extend and evolve Free from defects.

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