In an async application, deduplicating sets can be managed effectively using Python's built-in data structures. Asynchronous programming allows for concurrent operations, ensuring that your application is efficient and responsive. Below is an example of how you might deduplicate sets while handling asynchronous tasks.
import asyncio
async def deduplicate_sets(set_of_sets):
"""Deduplicate a list of sets asynchronously."""
unique_items = set()
deduplicated_sets = set()
for _set in set_of_sets:
duplicated = False
for item in _set:
if item in unique_items:
duplicated = True
break
unique_items.add(item)
if not duplicated:
deduplicated_sets.add(frozenset(_set)) # Use frozenset for hashability
return deduplicated_sets
async def main():
sets = [{1, 2, 3}, {3, 4, 5}, {1, 2}, {6, 7}]
result = await deduplicate_sets(sets)
print(result) # Output will be deduplicated sets
asyncio.run(main())
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