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(1)) in let rec countemup lbuf words chars lines = let tok = tokens lbuf in match tok with `Line -> countemup lbuf words (chars + 1) (lines + 1) | `Whitespace -> countemup lbuf words (chars + 1) lines | `Word n -> countemup lbuf (words + 1) (chars + n) lines | `Eof -> Printfprintf " %i %i %i %s\n" lines words chars Sysargv(1) in countemup lb 0 0 0;; } This code is 16 lines long and it even uses ocamllex to provide a flexible tokenizer The next example is the one in C It is nearly twice as long, coming in at 30 LoC..

I m quite sure that this final tier needs no introduction. We have discussed the fact that our sample application makes use of SQL Server 2005 and the AdventureWorks database. However, you could just as easily modify the solution to access an Oracle, MySQL, or DB2 database by adjusting your connection strings and customizing the data objects to reflect your current table structures.

is associated. The Player model also has an extra method: an instance method called total_wins, which is used to loop through all of a player s wins, returning the total quantity. This method uses the wins method added by the has_many relationship with the Win model.

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This type definition is also called a variant in some OCaml documentation. Variants can also be used to describe recursive data types. For example, you could add a polymorphic distance variant to the distance data type by creating the definition like so: # type 'a distance = Meter of int | Foot of int | Mile of int | Distance of 'a distance;; type 'a distance = Meter of int | Foot of int | Mile of int | Distance of 'a distance # Distance (Foot 10);; - : 'a distance = Distance (Foot 10) # Distance 10;; Characters 9-11: Distance 10;; ^^ This expression has type int but is here used with type 'a distance # Adding this definition to the type doesn t provide much, but it demonstrates the function of recursive types. In real life, you will often see recursive data structures used to describe trees and similar structures. If you want to encode a type to describe a tree-like structure similar to the one shown in Figure 3-1, you can use the following type definition (and associated code) to do it: # type tree = Node of tree * tree | Terminal of int;; type tree = Node of tree * tree | Terminal of int # Node ((Terminal 10),(Node ((Node ((Terminal 11),(Terminal 7))),Terminal 5)));; - : tree = Node (Terminal 10, Node (Node (Terminal 11, Terminal 7), Terminal 5))

s Note Every time the total_wins method is called, a query is made on the wins table, which could conceivably take a while. In a production environment, it might be worthwhile to cache the result in the parent table.

A record is much like a C-style struct. As an aggregate type, you can make records starting with any other types (including other records). A record is a collection of labels and types. These labels must be unique within the current module so the type inference engine can infer types correctly. You will create an example record that uses the 'a distance type from the last example to demonstrate this: # type 'a part_with_length = {part_name: string; part_number: int; part_length: 'a distance };; type 'a part_with_length = { part_name : string; part_number : int; part_length : 'a distance; } This example uses two basic types, strings and ints, as well as the aggregate type distance. Now that you have the part_with_length type, you can begin to define parts. Notice that you do not have to specify that you are creating this type because the type inference engine will do it for you: # let crescent_wrench = {part_name="Left Handed Crescent Wrench";part_number=1; part_length=(Foot 1)};; val crescent_wrench : 'a part_with_length = {part_name = "Left Handed Crescent Wrench"; part_number = 1; length = Foot 1} #

Summary

The script loops through each game and finds the player who has the most wins for that game:

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