Mapping tuples in Python within an asynchronous application can be done using various methods. Here's an example illustrating how to perform tuple mapping using asynchronous functions.
async, tuple mapping, Python async, asynchronous programming
This example shows how to utilize asyncio to map tuples asynchronously, allowing for efficient handling of multiple async operations.
import asyncio
async def process_tuple(tup):
# Simulate an I/O operation using asyncio.sleep
await asyncio.sleep(1)
return tup[0] * tup[1] # Example operation: multiplication
async def map_tuples(tuples):
tasks = [process_tuple(tup) for tup in tuples]
results = await asyncio.gather(*tasks)
return results
tuples_to_map = [(1, 2), (3, 4), (5, 6)]
# Running the async function
async def main():
result = await map_tuples(tuples_to_map)
print(result)
asyncio.run(main())
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