Delegation in python
By: Koothrapalli in Python Tutorials on 2012-04-07
In Python, delegation refers to the process of passing a method call from one object to another object that performs the actual behavior of the method. Delegation is a design pattern that allows objects to collaborate with each other in a flexible and dynamic way.
Delegation can be implemented in Python by defining a class that contains a reference to another object and delegates method calls to that object. The delegated object is typically passed as an argument to the constructor of the delegating class.
Here's an example:
class Delegate: def do_something(self): print('Delegate doing something') class Delegator: def __init__(self, delegate): self.delegate = delegate def do_something(self): self.delegate.do_something() delegate = Delegate() delegator = Delegator(delegate) delegator.do_something() # Output: Delegate doing something
In this example, the Delegate
class defines the behavior of the do_something()
method. The Delegator
class contains a reference to a Delegate
object and delegates calls to the do_something()
method to that object.
When an instance of Delegator
is created, it is passed an instance of Delegate
as an argument. The do_something()
method of Delegator
simply calls the do_something()
method of the Delegate
object.
By using delegation, the behavior of Delegator
can be changed dynamically by passing in different objects that implement the same methods as Delegate
. This makes it easy to modify the behavior of an object at runtime without having to change its implementation directly.
Add Comment
This policy contains information about your privacy. By posting, you are declaring that you understand this policy:
- Your name, rating, website address, town, country, state and comment will be publicly displayed if entered.
- Aside from the data entered into these form fields, other stored data about your comment will include:
- Your IP address (not displayed)
- The time/date of your submission (displayed)
- Your email address will not be shared. It is collected for only two reasons:
- Administrative purposes, should a need to contact you arise.
- To inform you of new comments, should you subscribe to receive notifications.
- A cookie may be set on your computer. This is used to remember your inputs. It will expire by itself.
This policy is subject to change at any time and without notice.
These terms and conditions contain rules about posting comments. By submitting a comment, you are declaring that you agree with these rules:
- Although the administrator will attempt to moderate comments, it is impossible for every comment to have been moderated at any given time.
- You acknowledge that all comments express the views and opinions of the original author and not those of the administrator.
- You agree not to post any material which is knowingly false, obscene, hateful, threatening, harassing or invasive of a person's privacy.
- The administrator has the right to edit, move or remove any comment for any reason and without notice.
Failure to comply with these rules may result in being banned from submitting further comments.
These terms and conditions are subject to change at any time and without notice.
- Data Science
- Android
- React Native
- AJAX
- ASP.net
- C
- C++
- C#
- Cocoa
- Cloud Computing
- HTML5
- Java
- Javascript
- JSF
- JSP
- J2ME
- Java Beans
- EJB
- JDBC
- Linux
- Mac OS X
- iPhone
- MySQL
- Office 365
- Perl
- PHP
- Python
- Ruby
- VB.net
- Hibernate
- Struts
- SAP
- Trends
- Tech Reviews
- WebServices
- XML
- Certification
- Interview
categories
Related Tutorials
Python program to get location meta data from an image
Retrieve Twitter posts and comments using Python
How to install Jupyter in Ubuntu and make it accessible through Apache Reverse Proxy
Python Basics - Setting up your Python Development Environment
Schwartzian Transform in python
Multidimensional list (array) in python
Perl's chomp() equivalent for removing trailing newlines from strings in python
Comments