In Python, tuples are immutable, which means their content cannot be changed after they are created. However, if you have a tuple containing mutable objects (like lists), you might need to perform a deep copy to ensure that changes to the mutable objects do not affect the original tuple. Here's how to perform a deep copy of tuples in pure Python.
import copy
# Original tuple containing a list
original_tuple = (1, 2, [3, 4])
# Deep copy the tuple
deep_copied_tuple = tuple(copy.deepcopy(item) for item in original_tuple)
# Modify the mutable object in the deep copied tuple
deep_copied_tuple[2].append(5)
print("Original Tuple:", original_tuple) # Output: (1, 2, [3, 4])
print("Deep Copied Tuple:", deep_copied_tuple) # Output: (1, 2, [3, 4, 5])
How do I avoid rehashing overhead with std::set in multithreaded code?
How do I find elements with custom comparators with std::set for embedded targets?
How do I erase elements while iterating with std::set for embedded targets?
How do I provide stable iteration order with std::unordered_map for large datasets?
How do I reserve capacity ahead of time with std::unordered_map for large datasets?
How do I erase elements while iterating with std::unordered_map in multithreaded code?
How do I provide stable iteration order with std::map for embedded targets?
How do I provide stable iteration order with std::map in multithreaded code?
How do I avoid rehashing overhead with std::map in performance-sensitive code?
How do I merge two containers efficiently with std::map for embedded targets?