Follow Techotopia on Twitter

On-line Guides
All Guides
eBook Store
iOS / Android
Linux for Beginners
Office Productivity
Linux Installation
Linux Security
Linux Utilities
Linux Virtualization
Linux Kernel
System/Network Admin
Programming
Scripting Languages
Development Tools
Web Development
GUI Toolkits/Desktop
Databases
Mail Systems
openSolaris
Eclipse Documentation
Techotopia.com
Virtuatopia.com

How To Guides
Virtualization
General System Admin
Linux Security
Linux Filesystems
Web Servers
Graphics & Desktop
PC Hardware
Windows
Problem Solutions

  




 

 

Built-in Functions

There are two built in functions of some importance to object oriented programming. These are used to determine the class of an object, as well as the inheritance hierarchy among classes.

isinstance( object , type ) → boolean

True if object is an instance of the given type or any of the subclasses of type .

issubclass( class , base ) → boolean

True if class class is a subclass of class base . This question is usually moot, because most programs are designed to provide the expected classes of objects. There are some occasions for deep paranoia; when working with untrusted software, your classes may need to be sure that other programmers are following the rules. In Java and C++, the compiler can check these situations. In Python, the compiler doesn't check this, so we may want to include run-time checks.

super( type )

This will return the superclass of the given type.

All of the basic factory functions (str, int, float, long, complex, unicode, tuple, list, dict, set) are effectively class names. You can, therefore, use a test like isinstance( myParam ,int) to confirm that the argument value provided to this parameter is an integer. An additional class, basestring is the parent class of both str and unicode.

The following example uses the isinstance function to validate the type of argument values. First, we'll define a Roulette wheel class, Wheel, and two subclasses, Wheel1 with a single zero and Wheel2 with zero and double zero.

Example 22.3. wheel.py

import random
class Wheel( object ):
    def value( self ):
        return NotImplemented

class Wheel1( Wheel ):
    def value( self ):
        spin= random.randrange(37)
        return str(spin)

class Wheel2( Wheel ):
    def __init__( self ):
        self.values= ['00'] + map( str, range(37) )
    def value( self ):
        return random.randchoice( self.values )
1

The Wheel class defines the interface for Roulette wheels. The actual class definition does nothing except show what the expected method functions should be. We could call this an abstract definition of a Wheel.

2

The Wheel1 subclass uses a simple algorithm for creating the spin of a wheel. The value method chooses a number between 0 and 36. It returns a string representation of the number. This has only a single zero.

3

The Wheel2 subclass creates an instance variable, values, to contain all possible results. This includes the 37 values from 0 to 36, plus an additional '00' value. The value method chooses one of these possible results.

The following function expects that its parameter, w, is one of the subclasses of Wheel.

def simulate( w ):
    if not isinstance( w, Wheel ):
        raise TypeError( "Must be a subclass of Wheel" )
    for i in range(10): 
        print w.value()

In this case, the simulate function checks its argument, w to be sure that it is a subclass of Wheel. If not, the function raises the built in TypeError.


 
 
  Published under the terms of the Open Publication License Design by Interspire