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Functions are defined by using let the same way other values are defined. Functions have to take at least one argument. Simple functions are covered here; the next chapter gets into more detail. A very simple function just adds 1 to any integer passed to it: # let add x = x + 1;; val add : int -> int = <fun> # add 5;; - : int = 6 # Flow control in FP can be a strange thing if you are used to imperative styles. FP often makes heavy use of recursion instead of iteration (although sometimes this is six of one and half dozen of the other ).

line_chart = Gruff::Line.new(1024)

We ve discussed the new and improved toolset that Microsoft has given us with Visual Studio 2005, but there are some third-party tools available on the web, for free, that we can also take advantage of. Now I say third party, but in fact, they re both Microsoft products. However, they run outside of the Visual Studio 2005 environment, so I consider them to be third party.

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OCaml has all the normal flow control statements. For example, you can rewrite the simple addition function to add a given number if the passed parameter is greater than a given value: # let add_plus x = if (x > 10) then x + x else x + 1;; val add_plus : int -> int = <fun> # add_plus 15;; - : int = 30 # add_plus 10;; - : int = 11 # Other flow control operators are discussed in 4, which focuses on functions.

The parameter to the call to new is the horizontal size. You can also pass a string containing a full size parameter, such as 1024x768. One of the noteworthy changes is inside the main loop, which iterates through all of the players. Instead of writing each chart to a different file, the data is aggregated into a single chart, as follows:

Recursion, which is a key concept in OCaml, involves calling a function from within itself. One of the best-known recursive algorithms (in certain circles, at least) is Euclid s algorithm for finding the greatest common divisor of two integers: # # greatest_c_div 7 21;; : int = 7 greatest_c_div 200 324;; : int = 4

We ve used this tool a bit already in 16. And it s worth mentioning again, when taken in the context of a debugging chapter. I ve become so accustomed to using it that I now find it an indispensable tool for identifying transfer errors and optimizations in my debugging cycle of development. Fortunately for us it is, as mentioned before, an entirely FREE product (http:// www.fiddlertool.com). And free is always a good price to pay. As you saw in 16, monitoring HTTP traffic and the corresponding transferred data is a simple click away. You should understand a little more about the background process involved when you run the tool.

data = [] Event.find_by_sql(sql).each do |row| data << (row.average_time.to_i/1000) end line_chart.data(player.nickname, data)

greatest_c_div 200 323;; : int = 1 greatest_c_div 200 321;; : int = 1 greatest_c_div 200 320;; : int = 40 let rec greatest_c_div x y = match x with 0 -> y | _ -> greatest_c_div (y mod x) x;; val greatest_c_div : int -> int -> int = <fun> # # # # # The difference between defining a function as recursive or not recursive is the addition of the rec keyword.

This loop, like the one in Listing 3-4, goes through all of the event types and adds them into an array, and then adds that array to the chart.

When Fiddler is started, it wedges itself into the system and establishes itself as a proxy for Windows Internet Services (WinInet). WinInet, as you may already know, is the HTTP layer that Windows will draw its traffic from. Fiddler parks itself right there in the process as a system proxy. If you start Fiddler and then open a browser, you ll find in Tools Internet Options Connections Lan Settings Advanced that indeed a proxy is set (see Figure 17-9).

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