Asynchronous I/O, or asyncio, is a Python library that enables concurrent programming by allowing multiple coroutines to run simultaneously. This is achieved through the use of a single thread and an event loop.
Coroutines are functions that can be paused and resumed at any point during their execution. They are created using the async def syntax and use the await keyword to suspend execution until a future completes.
Futures are objects that represent the result of an asynchronous operation. They can be in one of three states: pending, finished, or cancelled.
The event loop is responsible for scheduling and running coroutines. It continuously checks for I/O events and calls the appropriate coroutines when they are ready to run.
When an asynchronous operation is performed, such as reading from a file, the coroutine that initiated the operation is suspended and an event is registered with the event loop. When the operation completes, the event loop calls the coroutine and passes it the result.
How does this relate to your original question?
Your original question was about how asyncio implements I/O. As described above, asyncio uses an event loop that manages asynchronous operations. When an I/O operation is performed, such as reading from a file, the coroutine that initiated the operation is suspended and an event is registered with the event loop. When the operation completes, the event loop calls the coroutine and passes it the result.
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