What synchronization mechanisms ensure task concurrency control in the asyncio library?

In the asyncio library, several synchronization mechanisms are used to manage concurrent task execution, helping coordinate access to shared resources and control the order of execution:

• asyncio.Lock — an asynchronous equivalent of a mutex, prevents simultaneous access to a resource.
• asyncio.Event — allows tasks to wait for a specific event to occur.
• asyncio.Condition — extends Lock capabilities, allowing tasks to wait for a certain condition.
• asyncio.Semaphore and asyncio.BoundedSemaphore — limit the number of tasks executing simultaneously, controlling access to a resource.
• asyncio.Queue — a thread-safe queue for data exchange between tasks.

Example of using Lock:

import asyncio

lock = asyncio.Lock()

async def task(name):
    async with lock:
        print(f"{name} has access")
        await asyncio.sleep(1)
        print(f"{name} released access")

async def main():
    await asyncio.gather(task('Task 1'), task('Task 2'))

asyncio.run(main())

These mechanisms enable efficient management of concurrency in asynchronous Python applications.