OutdatedMAT Automation Unblock Script

Posts 1–15 of 25 · Page 1 of 2
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()
Wtf? So... what do you wanna reach with this?!
Yeah... uhmm.... think about it
I've the source code itself, but you have to do just create a file unblock-scripts.atpy
create at where??
pless create for .atpy and save to scripts
cannot work
It work? or Not work?
Work For Suba Xshot Cib
TQ MY MOOD GOOD NOW .........
what's the code have to copy,is it this=


#
# 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()
seee the matautotion.bin show the script
Sorry.I don't understand this. Can u plz make a simple video tutorial on Youtube?
Posts 1–15 of 25 · Page 1 of 2
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