In Python, hashing dictionaries can be a bit tricky since dictionaries are mutable and cannot be hashed directly. However, you can create a hashable representation of a dictionary by converting it into a tuple or using `frozenset`. Here's how you can do it while utilizing type hints.
Here's an example of how you can create a hashable dict:
from typing import Dict, Any
def hash_dict(d: Dict[str, Any]) -> int:
# Convert dict to frozenset for hashing
return hash(frozenset(d.items()))
example_dict = {'a': 1, 'b': 2, 'c': 3}
hashed_value = hash_dict(example_dict)
print(hashed_value) # Outputs the hash 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?