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Some type constructors such as list and option are generic, which means they can be used to form a range of types by instantiating the generic variables, such as int list, string list, int list list, and so on. Instantiations of generic types can be written using either prefix notation (such as int list) or postfix notation (such as list<int>). Variable types such as 'a are placeholders for any type. We discuss generics and variable types in more detail in 3 and 5.

Namespaces are open, which means multiple source files and assemblies can contribute to the same namespace. For example, another implementation file or assembly can contain the definitions shown in Listing 7-7.

the server in debug mode. While not strictly necessary, this should allow you to avoid attempting to debug the wrong process.

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Type inference works by analyzing your code to collect constraints. These are collected over the scope of particular parts of your program, such as each file for the F# command-line compiler and each chunk entered in F# Interactive. These constraints must be consistent, thus ensuring your program is well-typed, and you ll get a type error if not. Constraints are collected from top to bottom, left to right, and outside in, which is important because long identifier lookups, method overloading, and some other elements of the language are resolved using the normalized form of the constraint information available at the place where each construct is used. Type inference also automatically generalizes your code, which means that when your code is reusable and generic in certain obvious ways, then it will be given a suitable generic type without you needing to write the generic type down. Automatic generalization is the key to succinct but reusable typed programming. We discuss automatic generalization in 5.

Listing 7-7. A File Containing Two Type Definitions in Two Namespaces namespace Acme.Widgets type Lever = PlasticLever | WoodenLever

Listing 5-11. Starting MySQL Server in Debug Mode linux:~ # mysqld-debug -uroot 060530 20:42:07 InnoDB: Started; log sequence number 0 46403 060530 20:42:07 [Note] mysqld-debug: ready for connections. Version: '5.1.9-beta-debug' socket: '/var/lib/mysql/mysql.sock' port: 3306 MySQL Community Server - Debug (GPL) Notice that in this case, I am using the socket specified as /var/lib/mysql/mysql.sock. This allows me to run a copy of the server in debug mode without affecting a running server. However, I need to tell the client to use the same socket. But first, I need to determine the process ID for my server. I can do this by issuing the ps -A command to list all of the running processes. Alternatively, I could issue the command ps -A | grep mysql and get the process IDs of all of the processes that include mysql in the name. The following demonstrates this command: 9740 pts/2 00:00:00 mysqld

Functions are at the heart of most F# programming, and it s not surprising that the first thing you do is call a library function, in this case, String.split: let wordCount text = let words = String.split [' '] text The function String.split takes two arguments. F# Interactive reveals the type of String.split as follows: > String.split;; val it: char list -> string -> string list To understand this type, let s first investigate String.split by running F# Interactive: > String.split [' '] "hello world";; val it : string list = [ "hello"; "world" ] > String.split ['a';'e';'i';'o';'u'] "hello world";; val it : string list = [ "h"; "ll"; " w"; "rld" ] You can see that String.split breaks the given text into words using the given characters as delimiters. The first argument is the list of delimiters, and the second is the string to split.

namespace Acme.Suppliers type LeverSupplier = { name: string; leverKind: Acme.Widgets.Lever }

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