Sure, I can provide you with a template for implementing an asynchronous function in Python that handles a specific task. Below is an example template for a Python function that performs an asynchronous task using the asyncio library:

import asyncio

async def async_function(input_variables):
    # Perform asynchronous task here
    await asyncio.sleep(1)  # Example: Simulate asynchronous task taking 1 second

    # Process input variables
    processed_data = process_input(input_variables)

    # Return output
    return processed_data

def process_input(input_variables):
    # Placeholder function for processing input
    # You can replace this with your actual processing logic
    processed_data = f"Processed data: {input_variables}"
    return processed_data

# Example usage
async def main():
    input_data = "Input data"
    result = await async_function(input_data)
    print(result)

# Run the asynchronous function
asyncio.run(main())

Explanation of the code:

• The async_function is an asynchronous function that takes input_variables as input and performs some asynchronous task (simulated by asyncio.sleep(1) in this example).
• Inside async_function, we call process_input to process the input variables and obtain processed_data.
• The main coroutine function is used to demonstrate the usage of the async_function.
• We use asyncio.run(main()) to run the main coroutine function and execute the asynchronous task.

Replace the placeholder process_input function with your actual processing logic, and modify the input variables and expected output as needed for your specific task.