Скачать или смотреть How to Retrieve Return Values from Async Gather Method in Python

Learn how to effectively get return values from asynchronous tasks in Python using asyncio. This guide provides a clear, step-by-step solution using practical examples.
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Solving the Issue of Getting Return Values from Async Tasks in Python

When working with asynchronous programming in Python, you may often find yourself needing to retrieve return values from an asynchronous task. If you've ever run into the scenario where you can't access the return values from the gather method, you're in the right place. In this guide, we'll outline a common problem and show you how to effectively achieve your goals using Python's asynchronous capabilities.

The Problem: Accessing Return Values

Let's start with a typical problem scenario. You have an asynchronous function (task_2) that processes elements of a list, and you want to use the returned values of this function in your main workflow. Specifically, you need to return the values from task_2 in a way that makes them generally usable in your main function. Here's the original code snippet that illustrates this problem:

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The Solution: Iterating Over Returned Tasks

The first thing to note is that the return value from the loop_1() function already contains everything you need. When you call print(return_value), you'll notice it prints a series of tasks. Each task has a result attribute that contains the values you are looking for.

Step-by-Step Solution

Retrieve Task Results: Instead of just printing the tasks, you need to iterate over each task and call the result() method to fetch the return values.

Modify the main Function: Here’s how you can adjust the main function to capture and print the results from each task:

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Revised Code: Putting it all together, here’s the complete solution:

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Conclusion

By breaking down the process into manageable steps, you can easily retrieve return values from asynchronous tasks in Python. Remember, the key is to properly access the results from each task after their completion. Now you're equipped to handle similar issues in your own asynchronous programming endeavors!