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All the integer types listed in Table 3-1 support bitwise manipulations on their underlying representations. Table 3-3 shows the bitwise manipulation operators.

But that won t be the case for all documents If you want to use this function for another document, you should probably check to see if that document contains any abbreviations before going further We can find out how many abbreviations are in the document by querying the length property of the abbreviations array If abbreviationslength is less than one, there are no abbr elements in the document If that is the case, the function should return a Boolean value: if (abbreviationslength < 1) return false; If there are no abbr elements in the document, the function will finish at this point The next step is to store information from each abbr element We ll need to store the text within the <abbr> tags as well as the value of each title attribute.

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The advantage of this approach is that the logic is centralized, but the drawbacks are plentiful. For starters, the user experience is totally non-interactive. Users can t get any results, or even confirmation that their data is valid, without round-tripping the data to the database for processing. The database server becomes a performance bottleneck, because it s the only thing doing any actual work. Unfortunately, the hardest physical tier to scale up for more users is the database server, since it is difficult to use load balancing techniques on it. The only real alternative is to buy a bigger and bigger server machine.

Bitwise and Bitwise or Bitwise exclusive or Bitwise negation Left shift Right shift (arithmetic if signed)

Another common approach is to put all of the business logic into the UI. The data is validated and manipulated in the UI, and the Data Storage layer just stores the data. This approach, as shown in Figure 1-11, is very common in both Windows and web environments, and has the advantage that the business logic is centralized into a single tier (and of course, one can write the business logic in a language such as C# or VB .NET).

The following sample shows how to use these operators to encode 32-bit integers into 1, 2, or 5 bytes, represented by returning a list of integers. Integers in the range 0 to 127 return a list of length 1: let encode (n: int32) = if (n >= 0 && n <= 0x7F) then [ n ] elif (n >= 0x80 && n <= 0x3FFF) then [ (0x80 ||| (n >>> 8)) &&& 0xFF; (n &&& 0xFF) ] else [ 0xC0; ((n >>> 24) &&& 0xFF); ((n >>> 16) &&& 0xFF); ((n >>> 8) &&& 0xFF); (n &&& 0xFF) ] Here s an example of the function in action: > encode 32;; val it : int32 list = [32] > encode 320;; val it : int32 list = [129; 64] > encode 32000;; val it : int32 list = [192; 0; 0; 125; 0]

When you want to store a series of values like this, an array is the ideal storage medium Define a new array called defs: var defs = new Array();.

Unfortunately, in practice, the business logic ends up being scattered throughout the UI and intermixed with the UI code itself, thereby decreasing readability and making maintenance more difficult. Even more importantly, business logic in one form or page isn t reusable when subsequent pages or forms are created that use the same data. Furthermore, in a web environment, this architecture also leads to a totally non-interactive user experience, because no validation can occur in the browser. The user must transmit his or her data to the web server for any validation or manipulation to take place.

Numeric types are not implicitly converted conversions between different numeric types must be made explicitly. You do this by using overloaded conversion operators. These work in the same way as overloaded infix operators such as + and *. Table 3-4 shows the primary conversion operators.

s Note ASP.NET Web Forms validation controls at least allow for basic data validation in the UI, with that validation automatically extended to the browser by the Web Forms technology itself. Though not a total solution, this is a powerful feature that does help.

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