In Python, you can deduplicate tuples by converting them into a set and then back to a tuple. This method eliminates duplicate entries while maintaining the type hints for better code clarity. Below is an example of how to achieve this:
from typing import List, Tuple
def deduplicate_tuples(tuples: List[Tuple[int, str]]) -> List[Tuple[int, str]]:
"""Remove duplicate tuples from a list of tuples."""
# Convert the list of tuples into a set to remove duplicates
unique_tuples = set(tuples)
# Convert it back to a list and return
return list(unique_tuples)
# Example usage
example_tuples = [(1, 'apple'), (2, 'banana'), (1, 'apple'), (3, 'cherry')]
deduplicated = deduplicate_tuples(example_tuples)
print(deduplicated)
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?