Tuesday, 22 April 2025

Python Coding challenge - Day 446| What is the output of the following Python Code?


Code Explanation:

Importing ThreadPoolExecutor

from concurrent.futures import ThreadPoolExecutor
This imports the ThreadPoolExecutor class from the concurrent.futures module.
ThreadPoolExecutor allows you to run functions in separate threads without managing threads manually.


Defining the Task

def task(x): return x * 2
This defines a simple function named task that takes one argument x and returns x * 2.
In this case, it's a placeholder for any CPU-light or I/O-bound task you'd want to run in a separate thread.


Using the Executor

with ThreadPoolExecutor() as ex:
This line creates a thread pool executor using a context manager (with block).
The context manager ensures that the thread pool is properly shut down when the block ends (no need to manually call shutdown()).


Submitting the Task

    f = ex.submit(task, 3)
This submits the function task with argument 3 to the executor.

ex.submit() returns a Future object (f in this case), which acts like a placeholder for the result of the task.

The task runs in a separate thread from the main program.


Getting the Result

    print(f.result())
f.result() waits for the thread to complete (if it hasn’t already), and then returns the result.

Since task(3) returns 6, this line prints:
6

Final Output

6

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