Python object-oriented access restrictions
The content shared with you in this article is about Python object-oriented access restrictions. It has certain reference value. Friends in need can refer to it.
Inside a Class, there can be attributes and methods, and External code can manipulate data by directly calling methods on instance variables, thus hiding the complex internal logic.
However, judging from the previous definition of the Student class, external code can still freely modify the name and score attributes of an instance:
class Student(object): def __init__(self,name,score): self.name = name self.score = score def print_score(self): print('%s:%s'%(self.name,self.score)) def get_grade(self): if self.score >=90: return 'A' elif self.score>=600: return 'B' else: return 'C' bart = Student('Boyuan Zhou',100) print(bart.score) bart.score=120 print(bart.score)
100 120
If you want the internal properties not to be accessed externally, you can Add two underscores __ before the name of the attribute. In Python, if the variable name of the instance starts with __, it becomes a private attribute (private), which can only be accessed internally and not externally. Therefore, we Change the Student class:
class Student(object): def __init__(self,name,score): self.__name = name self.__score = score def print_score(self): print('%s:%s'%(self.__name,self.__score)) def get_grade(self): if self.__score >=90: return 'A' elif self.__score>=600: return 'B' else: return 'C'
改完后,对于外部代码来说,没什么变动,但是已经无法从外部访问实例变量.__name和实例变量.__score了:
bart = Student('Boyuan Zhou',100) print(bart.__name)Traceback (most recent call last): File "F:/mycompany/mycompany/schooldemo.py", line 16, in <module> print(bart.__name) AttributeError: 'Student' object has no attribute '__name'
This ensures that external code cannot modify the internal state of the object at will, so that the code is more robust through the protection of access restrictions.
But what if the external code wants to get the name and score? You can add methods like get_name and get_score to the Student class:
class Student(object): def __init__(self,name,score): self.__name = name self.__score = score def get_name(self): return self.__name def get_score(self): return self.__score bart = Student('Boyuan Zhou',100) print(bart.get_name()) #Boyuan Zhou
What if you want to allow external code to modify the score? You can add the set_score method to the Student class:
class Student(object): def __init__(self,name,score): self.__name = name self.__score = score def get_name(self): return self.__name def get_score(self): return self.__score def set_score(self,score): self.__score=score
You may ask, the original method can be modified directly through bart.score = 59. Why bother to define a method? Because in the method, you can check the parameters to avoid passing in invalid parameters:
class Student(object): def __init__(self,name,score): self.__name = name self.__score = score def get_name(self): return self.__name def get_score(self): return self.__score def set_score(self,score): if 0 <=score <= 100: self.__score=score else: raise ValueError('bad score')
It should be noted that in Python, variable names are similar to __xxx___, that is, they start with double underscores. And those ending with a double underscore are special variables. Special variables can be accessed directly and are not private variables. Therefore, variable names such as __name__ and __score__ cannot be used.
Sometimes, you will see an instance variable name starting with an underscore, such as _name. Such instance variables can be accessed externally. However, according to the convention, when you see such a variable , meaning, 'Although I may be accessed, please treat me as a private variable and do not access it at will.'
Are instance variables starting with double underscores necessarily not accessible from the outside? In fact, not . The reason why __name cannot be accessed directly is because the Python interpreter externally changes the __name variable to _Student__name. Therefore, you can still access the __name variable through _Student_name:
class Student(object): def __init__(self,name,score): self.__name = name self.__score = score def get_name(self): return self.__name def get_score(self): return self.__score def set_score(self,score): if 0 <=score <= 100: self.__score=score else: raise ValueError('bad score') bart = Student('Boyuan Zhou',100)print(bart._Student__name) print(bart.get_name()) #Boyuan Zhou #Boyuan Zhou
However, it is strongly recommended not to do this, because Different versions of Python interpreters may change __name to different variable names
Python-oriented. Object classes and instances
##
The above is the detailed content of Python object-oriented access restrictions. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

PHP is mainly procedural programming, but also supports object-oriented programming (OOP); Python supports a variety of paradigms, including OOP, functional and procedural programming. PHP is suitable for web development, and Python is suitable for a variety of applications such as data analysis and machine learning.

PHP is suitable for web development and rapid prototyping, and Python is suitable for data science and machine learning. 1.PHP is used for dynamic web development, with simple syntax and suitable for rapid development. 2. Python has concise syntax, is suitable for multiple fields, and has a strong library ecosystem.

Python is more suitable for beginners, with a smooth learning curve and concise syntax; JavaScript is suitable for front-end development, with a steep learning curve and flexible syntax. 1. Python syntax is intuitive and suitable for data science and back-end development. 2. JavaScript is flexible and widely used in front-end and server-side programming.

VS Code can run on Windows 8, but the experience may not be great. First make sure the system has been updated to the latest patch, then download the VS Code installation package that matches the system architecture and install it as prompted. After installation, be aware that some extensions may be incompatible with Windows 8 and need to look for alternative extensions or use newer Windows systems in a virtual machine. Install the necessary extensions to check whether they work properly. Although VS Code is feasible on Windows 8, it is recommended to upgrade to a newer Windows system for a better development experience and security.

PHP originated in 1994 and was developed by RasmusLerdorf. It was originally used to track website visitors and gradually evolved into a server-side scripting language and was widely used in web development. Python was developed by Guidovan Rossum in the late 1980s and was first released in 1991. It emphasizes code readability and simplicity, and is suitable for scientific computing, data analysis and other fields.

VS Code can be used to write Python and provides many features that make it an ideal tool for developing Python applications. It allows users to: install Python extensions to get functions such as code completion, syntax highlighting, and debugging. Use the debugger to track code step by step, find and fix errors. Integrate Git for version control. Use code formatting tools to maintain code consistency. Use the Linting tool to spot potential problems ahead of time.

In VS Code, you can run the program in the terminal through the following steps: Prepare the code and open the integrated terminal to ensure that the code directory is consistent with the terminal working directory. Select the run command according to the programming language (such as Python's python your_file_name.py) to check whether it runs successfully and resolve errors. Use the debugger to improve debugging efficiency.

VS Code extensions pose malicious risks, such as hiding malicious code, exploiting vulnerabilities, and masturbating as legitimate extensions. Methods to identify malicious extensions include: checking publishers, reading comments, checking code, and installing with caution. Security measures also include: security awareness, good habits, regular updates and antivirus software.
