<s>[INST] Here is a Python script that uses the `multiprocessing` module to parallelize a task:
```python
import multiprocessing

def parallel_task(x):
    for i in range(1000000):
        x += i

if __name__ == "__main__":
    num_processes = multiprocessing.cpu_count()
    with multiprocessing.Pool(processes=num_processes) as pool:
        inputs = range(10)
        results = pool.map(parallel_task, inputs)
        print(results)
```
However, I noticed that the results are not what I expected. The `parallel_task` function seems to be running multiple times with the same input, and the output is not correct. What could be the cause of this issue?
The issue seems to be related to the fact that the `Pool.map()` function is asynchronous, and the results are not guaranteed to be in the same order as the inputs.[/INST]