MAT Automation Unblock Script

My Unblock scrpits

want to make themselves understood



#
# Simple example which uses a pool of workers to carry out some tasks.
#
# Notice that the results will probably not come out of the output
# queue in the same in the same order as the corresponding tasks were
# put on the input queue. If it is important to get the results back
# in the original order then consider using `Pool.map()` or
# `Pool.imap()` (which will save on the amount of code needed anyway).
#
# Copyright (c) 2006-2008, R Oudkerk
# All rights reserved.
#

import time
import random

from multiprocessing import Process, Queue, current_process, freeze_support

#
# Function run by worker processes
#

def worker(input, output):
for func, args in iter(input.get, 'STOP'):
result = calculate(func, args)
output.put(result)

#
# Function used to calculate result
#

def calculate(func, args):
result = func(*args)
return '%s says that %s%s = %s' % \
(current_process().name, func.__name__, args, result)

#
# Functions referenced by tasks
#

def mul(a, b):
time.sleep(0.5*random.random())
return a * b

def plus(a, b):
time.sleep(0.5*random.random())
return a + b

#
#
#

def test():
NUMBER_OF_PROCESSES = 4
TASKS1 = [(mul, (i, 7)) for i in range(20)]
TASKS2 = [(plus, (i, 8)) for i in range(10)]

# Create queues
task_queue = Queue()
done_queue = Queue()

# Submit tasks
for task in TASKS1:
task_queue.put(task)

# Start worker processes
for i in range(NUMBER_OF_PROCESSES):
Process(target=worker, args=(task_queue, done_queue)).start()

# Get and print results
print('Unordered results:')
for i in range(len(TASKS1)):
print('\t', done_queue.get())

# Add more tasks using `put()`
for task in TASKS2:
task_queue.put(task)

# Get and print some more results
for i in range(len(TASKS2)):
print('\t', done_queue.get())

# Tell child processes to stop
for i in range(NUMBER_OF_PROCESSES):
task_queue.put('STOP')

if __name__ == '__main__':
freeze_support()
test()