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Methods simplify things for us in two ways If we are the user of a method, then, as long as its internal implementation conforms to the contract, we can treat it as a black box We call it, we expect it to work as described, and we don t need to worry about how it worked All its internal complexity is hidden from us, freeing us to think about ideas like increase this employee s salary, without getting bogged down by details such as open a connection to the database and execute some SQL If, on the other hand, we are the developer of a method, we don t need to worry about who might call us, and why As long as our implementation works as promised, we can choose any means of implementation we like perhaps optimizing for speed, or size, or (more often than not) simplicity and maintainability.

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Address: 66.212.129.45 Assuming you want to know the domain name server of the computer in your network with the IP address 192.168.1.7, you will use nslookup 192.168.1.7 The output will resemble Listing 11-11. Listing 11-11. Doing nslookup on a Computer in Your Network Server: Address: 127.0.0.1 127.0.0.1#53 name = ns1.pvctoyfan.com.

We can concentrate on details like whether we re using the right connection string, and whether the SQL query modifies the database as intended, without needing to ask ourselves questions like should we even be adjusting this particular employee s salary at all So, one objective of good design is to hide distracting details and expose a simple model to your client This practice is called encapsulation, and it s harder than it looks..

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R2 is the same value as X. Thus, the outcome of a sequence of two XORs using the same value produces the original value. To see this feature of the XOR in ...

As is so often the case in life, making something look easy takes years of practice and hard work. It can also be a thankless task: if you devise a contract that is a model of clarity, people will probably think it was easy to design. Conversely, unnecessary complexity is often mistaken for cleverness.

While methods are essential for achieving encapsulation, they do not guarantee it. It s all too easy to write methods whose contract is unclear. This often happens when developers do something as an afterthought it can be oh so tempting to add a bit of extra code to an existing method as a quick solution to a problem, but this risks making that s method s responsibilities less clear. A method s name is often a good indicator of the clarity of the contract if the name is vague, or worse, if it s an inaccurate description of what the method does, you re probably looking at a method that does a bad job of encapsulation.

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Take the following steps to configure a caching DNS server: 1. Create a hints file called db.cache using dig and place it inside the /var/named/chroot/var/named directory: dig @a.root-servers.net . ns > /var/named/chroot/var/named/db.cache

One of the great things about methods is that we can use them to keep breaking things into smaller and smaller pieces. Suppose we have some method called PlaceOrder, which has a well-defined responsibility, but which is getting a bit complicated. We can just split its implementation into smaller methods say, CheckCustomerCredit, AllocateStock, and IssueRequestToWarehouse. These smaller methods do different bits of the work for us. This general technique, sometimes called functional decomposition, has a long history in mathematics. It was explored academically in computing applications as early as the 1930s. Bearing in mind that the first working programmable computers didn t appear until the 1940s, that s quite a pedigree. In fact, it has been around for so long that it now seems obvious to most people who have had anything to do with computer programming. That s not the end of the story, though. Methods are great for describing the dynamics of a system how things change in response to particular input data (the method arguments), and the results of those changes (a function s return value, or a method s side effects). What they re not so good at is describing the current state of the system. If we examine a set of functions and a load of variables, how can we work out which pieces of information are supposed to be operated on by which functions If methods were the only tool available for abstraction, we d have a hard time telling the difference between the double that describes my blood pressure, and can be operated on by this method:

void LowerMyBloodPressure(double pressureDelta)

and the double that describes my weight and can be affected by this method:

This section has provided a whirlwind overview of what LVM can offer, but many more advanced features and other hints and tips are available. The best place for more information on LVM is the documentation at the Linux Documentation Project (http://tldp.org/HOWTO/LVM-HOWTO/), which contains in-depth descriptions of all the LVM features and a complete command reference and a detailed step-by-step guide.

void EatSomeDonuts(int quantityOfDonuts)

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