How does changing the order of create_task and await affect logging scope and program execution sequence?

In Python, using asyncio, the order of calling create_task and await affects when exactly the asynchronous task is created and started, as well as the sequence of logging and code execution.

• If you first call create_task(coro()), the task is created and immediately scheduled for execution in the event loop. This means it can start executing in parallel with the rest of the code.

• If immediately after that you call await on the task, the current coroutine will pause until the task completes, and logging or code after await will execute later.

• If you do await coro() first, the coroutine will run to completion before continuing with the rest of the code, including logging.

Example:

import asyncio

async def task():
    print('Task started')
    await asyncio.sleep(1)
    print('Task finished')

async def main():
    print('Before create_task')
    t = asyncio.create_task(task())
    print('After create_task')
    await t
    print('After await')

asyncio.run(main())

The output will be:

Before create_task
After create_task
Task started
Task finished
After await

If you replace t = asyncio.create_task(task()) and await t with just await task(), the output will be:

Before create_task
Task started
Task finished
After await

So, when using create_task, the task starts immediately and can run concurrently, whereas with direct await, execution blocks until the coroutine finishes.

This affects the scope of logging and the order of message output, as tasks can run asynchronously and in parallel.