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In fact, the property function may be called with zero, one, three, or four arguments as well. If called with no arguments, the resulting property is neither readable nor writable. If called with only one argument (a getter method), the property is readable only. The third (optional) argument is a method used to delete the attribute (it takes no arguments). The fourth (optional) argument is a documentation string. The parameters are called fget, fset, fdel, and doc you can use them as keyword arguments if you want a property that, say, is only writable and has a docstring. Although this section has been short (a testament to the simplicity of the property function), it is very important. The moral is this: With new-style classes, you should use property rather than accessors.

array ( 0 => array ( 'product_id' => '10', 'type' => 'simple', 'set' => '4', 'sku' => 'SSA0004', 'position' => '0', 'qty' => NULL, ),

To install acts_as_taggable, simply execute the following command: $ sudo gem install acts_as_taggable Bulk updating Gem source index for: http://gems.rubyforge.org Successfully installed acts_as_taggable-2.0.2 Installing ri documentation for acts_as_taggable-2.0.2... Installing RDoc documentation for acts_as_taggable-2.0.2... The location of the repository depends on your system and RubyGems configuration. On our machine, the gem was installed in /usr/lib/ruby/gems/1.8/gems/acts_as_taggable-2.0.2/.

In case you re curious about how property does its magic, I ll give you an explanation here. If you don t care, just skip ahead. The fact is that property isn t really a function it s a class whose instances have some magic methods that do all the work. The methods in question are __get__, __set__, and __delete__. Together, these three define the so-called descriptor protocol. An object implementing any of these three methods is a descriptor. The special thing about descriptors is how they are accessed. For example, when reading an attribute, if the returned object implements __get__, this method will be called (and the resulting value returned) instead of simply returning the object. This is, in fact, the mechanism underlying properties, bound methods, static and class methods (see the following section for more information), and super. A brief description of the descriptor protocol may be found in the Python language reference (http://python.org/doc/ref/ descriptors.html). A more thorough source of information is Raymond Hettinger s How-To Guide for Descriptors (http://users.rcn.com/python/download/Descriptor.htm).

1 => array ( 'product_id' => '12', 'type' => 'simple', 'set' => '4', 'sku' => 'SSS123456', 'position' => '0', 'qty' => NULL, ), )

vendor/plugins directory with cd vendor/plugins, and then execute gem unpack acts_as_taggable. Next, create a file called init.rb in the acts_as_taggable folder and put the following code in it: require 'taggable'.

// Prepare the data $type = 'related'; $product_id = '1'; $results = $client->call('call', array($session_id, 'catalog_product_link.list', array($type, $product_id) ) ); // view results var_dump($results);

Before discussing the old way of implementing properties, let s take a slight detour, and take a look at another couple of features that are implemented in a similar manner to the new-style properties. Static methods and class methods are created by wrapping methods in objects of the staticmethod and classmethod types, respectively. Static methods are defined without self arguments, and can be called directly on the class itself. Class methods are defined with a self-like parameter normally called cls. You can call class methods directly on the class object too, but the cls parameter then automatically is bound to the class. Here is a simple example (note the use of new-style classes, by setting __metaclass__): __metaclass__ = type class MyClass: def smeth(): print 'This is a static method' smeth = staticmethod(smeth) def cmeth(cls): print 'This is a class method of', cls cmeth = classmethod(cmeth) The technique of wrapping and replacing the methods manually like this is a bit tedious. In Python 2.4, a new syntax was introduced for wrapping methods like this, called decorators. (They actually work with any callable objects as wrappers, and can be used on both methods and functions.) You specify one or more decorators (which are applied in reverse order) by listing them above the method (or function), using the @ operator: