In Python, hashing lists can be achieved by converting them into a hashable type, since lists themselves are mutable and thus not hashable. The most common method is to convert the list to a tuple before hashing.
# Example of hashing a list in Python
def hash_list(lst):
# Convert the list to a tuple and return the hash
return hash(tuple(lst))
my_list = [1, 2, 3, 4]
hashed_value = hash_list(my_list)
print(f"The hash of the list is: {hashed_value}")
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?