12.3.10.5.3. Multi processing

This is a modified example from the python documentation. The only difference is the set_executable section at the start. Please notice that you cannot use methods from the itom module in any worker thread. Alternative approaches for multiprocessing are python threading module and asyncio. Or use subprocess.

from multiprocessing import Pool, TimeoutError
import multiprocessing
import time
import os

Demo function for parallelization.

def func(x):
    print("return x*x with x = ", x)
    return x * x

Python executable is required

pythonPath = ui.getOpenFileName(
    "Set path of python.exe",
    "C:/itom/3rdParty/Python/python.exe",
    "Python Executable (*.exe)",
)

if pythonPath and os.path.exists(pythonPath):
    # set the path of the python executable (embedded python is required)
    multiprocessing.set_executable(pythonPath)

    with Pool(processes=4) as pool:

        # print "[0, 1, 4,..., 81]"
        print(pool.map(func, range(10)))

        # print same numbers in arbitrary order
        for i in pool.imap_unordered(func, range(10)):
            print(i)

        # evaluate "f(20)" asynchronously
        res = pool.apply_async(func, (20,))  # runs in *only* one process
        print(res.get(timeout=1))  # prints "400"

        # evaluate "os.getpid()" asynchronously
        res = pool.apply_async(os.getpid, ())  # runs in *only* one process
        print(res.get(timeout=1))  # prints the PID of that process

        # launching multiple evaluations asynchronously *may* use more processes
        multiple_results = [pool.apply_async(os.getpid, ()) for i in range(4)]
        print([res.get(timeout=1) for res in multiple_results])

        # make a single worker sleep for 10 secs
        res = pool.apply_async(time.sleep, (10,))
        try:
            print(res.get(timeout=1))
        except TimeoutError:
            print("We lacked patience and got a multiprocessing.TimeoutError")

        print("For the moment, the pool remains available for more work")

    # exiting the 'with'-block has stopped the pool
    print("Now the pool is closed and no longer available")