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What is the use of the "copy.deepcopy" function in Python?

In Python, the copy.deepcopy() function is used to create a deep copy of an object. It returns a new object that is a complete and independent copy of the original object, including all nested objects. The deepcopy() function is part of the copy module and can be used to create deep copies of various objects, including dictionaries.

Here are a few use cases and characteristics of the copy.deepcopy() function:

Deep Copy: The copy.deepcopy() function creates a deep copy, which means that both the top-level and internal objects are duplicated. The entire object hierarchy is recursively copied, resulting in independent copies.

Independent Copies: After creating a deep copy, modifications made to the original object or its nested objects will not affect the deep copy, as they are now separate objects.

Copying Dictionaries: The copy.deepcopy() function can be used to create a deep copy of a dictionary. It duplicates the dictionary object itself as well as all the keys and values within it.

Here's an example to illustrate the usage of copy.deepcopy() with a dictionary:

import copy

original_dict = {'name': 'John', 'age': 30, 'city': ['New York', 'London']}

# Create a deep copy of the dictionary using copy.deepcopy()
deep_copy = copy.deepcopy(original_dict)

# Modify the original dictionary
original_dict['age'] = 31
original_dict['city'].append('Paris')

print(original_dict)  # Output: {'name': 'John', 'age': 31, 'city': ['New York', 'London', 'Paris']}
print(deep_copy)  # Output: {'name': 'John', 'age': 30, 'city': ['New York', 'London']}

In this example, modifying the 'age' key and appending a new city to the original dictionary does not affect the deep copy, as it maintains the original values.

The copy.deepcopy() function is useful when you need to create a completely independent copy of an object, including all nested objects. It ensures that changes made to the original object or its nested objects do not affect the deep copy.

It's important to note that deep copying can be computationally expensive, especially for large or complex objects, as it involves recursively copying all nested objects. Therefore, use copy.deepcopy() judiciously and consider if a deep copy is necessary for your specific use case.

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