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Home Articles

Complete Understanding of Destructors in Python

by Feeba Mahin
April 27, 2023
in Articles, Python Programming
Complete Understanding of Destructors in Python
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Table of Contents

  • Destructor is a special method that is called when an object gets destroyed. On the other hand, a constructor is used to create and initialize an object of a class.
  • What is Destructor in Python?
  • Create Destructor using the __del__() Method
  • Important Points to Remember about Destructor
  • Cases when Destructor doesn’t work Correctly
  • Conclusion

Destructor is a special method that is called when an object gets destroyed. On the other hand, a constructor is used to create and initialize an object of a class.

After reading this article, you will learn:

  • How create a destructor in Python
  • The use of __del__() method
  • Wokring of a destructor

Python and Machine Learning Square

What is Destructor in Python?

1: Which of the following data types is immutable in Python?

2: What does the len() function do in Python?

3: Which keyword is used to define a function in Python?

4: What will print(type([1, 2, 3])) output?

5: Which statement is correct about Python indentation?

    Fill out the form to see the results



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    In object-oriented programming, A destructor is called when an object is deleted or destroyed. Destructor is used to perform the clean-up activity before destroying the object, such as closing database connections or filehandle.

    Python has a garbage collector that handles memory management automatically. For example, it cleans up the memory when an object goes out of scope.

    But it’s not just memory that has to be freed when an object is destroyed. We must release or close the other resources object were using, such as open files, database connections, cleaning up the buffer or cache. To perform all those cleanup tasks we use destructor in Python.

    The destructor is the reverse of the constructor. The constructor is used to initialize objects, while the destructor is used to delete or destroy the object that releases the resource occupied by the object.

    In Python, destructor is not called manually but completely automatic. destructor gets called in the following two cases

    • When an object goes out of scope or
    • The reference counter of the object reaches 0.

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    In Python, The special method __del__() is used to define a destructor. For example, when we execute del object_name destructor gets called automatically and the object gets garbage collected.

    Python destructor to destroy an object
    Python destructor to destroy an object

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    Create Destructor using the __del__() Method

    The magic method __del__() is used as the destructor in Python. The __del__() method will be implicitly invoked when all references to the object have been deleted, i.e., is when an object is eligible for the garbage collector.

    This method is automatically called by Python when the instance is about to be destroyed. It is also called a finalizer or (improperly) a destructor.

    Syntax of destructor declaration

    def __del__(self):
        # body of a destructor

    Where,

    • def: The keyword is used to define a method.
    • __del__() Method: It is a reserved method. This method gets called as soon as all references to the object have been deleted
    • self: The first argument self refers to the current object.

    Note: The __del__() method arguments are optional. We can define a destructor with any number of arguments.

    Example

    Let’s see how to create a destructor in Python with a simple example. In this example, we’ll create a Class Student with a destructor. We’ll see: –

    • How to implement a destructor
    • how destructor gets executed when we delete the object.
    class Student:
    
        # constructor
        def __init__(self, name):
            print('Inside Constructor')
            self.name = name
            print('Object initialized')
    
        def show(self):
            print('Hello, my name is', self.name)
    
        # destructor
        def __del__(self):
            print('Inside destructor')
            print('Object destroyed')
    
    # create object
    s1 = Student('Emma')
    s1.show()
    
    # delete object
    del s1
    

    Output

    Inside Constructor
    Object initialized
    
    Hello, my name is Emma
    
    Inside destructor
    Object destroyed

    Note:

    As you can see in the output, the __del__() method get called automatically is called when we deleted the object reference using del s1.

    In the above code, we created one object. The s1 is the reference variable that is pointing to the newly created object.

    The destructor has called when the reference to the object is deleted or the reference count for the object becomes zero

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    Important Points to Remember about Destructor

    • The __del__ method is called for any object when the reference count for that object becomes zero.
    • The reference count for that object becomes zero when the application ends, or we delete all references manually using the del keyword.
    • The destructor will not invoke when we delete object reference. It will only invoke when all references to the objects get deleted.
    Working of destructor
    Working of destructor

    Example:

    Let’s understand the above points using the example.

    • First create object of a student class using s1 = student('Emma')
    • Next, create a new object reference s2 by assigning s1 to s2 using s2=s1
    • Now, both reference variables s1 and s2 point to the same object.
    • Next, we deleted reference s1
    • Next, we have added 5 seconds of sleep to the main thread to understand that destructors only invoke when all references to the objects get deleted.
    import time
    
    class Student:
    
        # constructor
        def __init__(self, name):
            print('Inside Constructor')
            self.name = name
    
        def show(self):
            print('Hello, my name is', self.name)
    
        # destructor
        def __del__(self):
            print('Object destroyed')
    
    # create object
    s1 = Student('Emma')
    # create new reference
    # both reference points to the same object
    s2 = s1
    s1.show()
    
    # delete object reference s1
    del s1
    
    # add sleep and observe the output
    time.sleep(5)
    print('After sleep')
    s2.show()

    Output:

    Inside Constructor
    Hello, my name is Emma
    

    After Sleep

    After sleep
    Hello, my name is Emma
    Object destroyed
    • As you can see in the output destructors only invoked when all references to the objects get deleted.
    • Also, the destructor is executed when the code (application) ends and the object is available for the garbage collector. (I.e., we didn’t delete object reference s2 manually using del s2).

    Cases when Destructor doesn’t work Correctly

    The __del__ is not a perfect solution to clean up a Python object when it is no longer required. In Python, the destructor behave behaves weirdly and doesn’t execute in the following two cases.

    1. Circular referencing when two objects refer to each other
    2. Exception occured in __init__() method

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    Circular Referencing

    The __del()__() doesn’t work correctly in the case of circular referencing. In circular referencing occurs when two objects refer to each other.

    When both objects go out of scope, Python doesn’t know which object to destroy first. So, to avoid any errors, it doesn’t destroy any of them.

    In short, it means that the garbage collector does not know the order in which the object should be destroyed, so it doesn’t delete them from memory.

    Ideally, the destructor must execute when an object goes out of scope, or its reference count reaches zero.

    But the objects involved in this circular reference will remain stored in the memory as long as the application will run.

    Example:

    In the below example, ideally, both Vehicle and Car objects must be destroyed by the garbage collector after they go out of scope. Still, because of the circular reference, they remain in memory.

    I’d recommend using Python’s with statement for managing resources that need to be cleaned up.

    import time
    
    
    class Vehicle():
        def __init__(self, id, car):
            self.id = id;
            # saving reference of Car object
            self.dealer = car;
            print('Vehicle', self.id, 'created');
    
        def __del__(self):
            print('Vehicle', self.id, 'destroyed');
    
    
    class Car():
        def __init__(self, id):
            self.id = id;
            # saving Vehicle class object in 'dealer' variable
            # Sending reference of Car object ('self') for Vehicle object
            self.dealer = Vehicle(id, self);
            print('Car', self.id, 'created')
    
        def __del__(self):
            print('Car', self.id, 'destroyed')
    
    
    # create car object
    c = Car(12)
    # delete car object
    del c
    # ideally destructor must execute now
    
    # to observe the behavior
    time.sleep(8)

    Output:

    Vehicle 12 created
    Car 12 created

    Exception in __init__ Method

    In object-oriented programming, A constructor is a special method used to create and initialize an object of a class. using the __init__() method we can implement a constructor to initialize the object.

    In OOP, if any exception occurs in the constructor while initializing the object, the constructor destroys the object.

    Likewise, in Python, if any exception occurs in the init method while initializing the object, the method del gets called. But actually, an object is not created successfully, and resources are not allocated to it

    even though the object was never initialized correctly, the del method will try to empty all the resources and, in turn, may lead to another exception.

    Example:

    class Vehicle:
        def __init__(self, speed):
            if speed > 240:
                raise Exception('Not Allowed');
            self.speed = speed;
    
        def __del__(self):
            print('Release resources')
    
    # creating an object
    car = Vehicle(350);
    # to delete the object explicitly
    del car
    

    Output:

    Traceback (most recent call last):
    Release resources
    Exception: Not Allowed

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    Conclusion

    • In object-oriented programming, A destructor is called when an object is deleted or destroyed.
    • Destructor is used to perform the clean-up activity before destroying the object, such as closing database connections or filehandle.
    • In Python we use __del__() method to perform clean-up task before deleting the object.
    • The destructor will not invoke when we delete object reference. It will only invoke when all references to the objects get deleted.

     

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