Pytaskpool 1.5

Description:

pytaskpool 1.5

pytaskpool (v1.5)
A simple multiprocess function pooler which create results generators
pytaskpool use the python multiprocessing module
pytaskpool provide an easy way to execute python functions in a pool of process (not threads) for using all your CPU
cores. Functions results can then be then obtained in order or not (via a generator method).
pytaskpool works on windows and linux.

Download and docs:
http://pypi.python.org/pypi/pytaskpool

Source code & Development:
https://github.com/govlog/pytaskpool

Issues:
[email protected]

Installation
pytaskpool is available in the python index package (pip),
It can be installed running the following command:
$ pip install pytaskpool
or by git like this:
$ git clone https://github.com/govlog/pytaskpool
$ cd pytaskpool
$ sudo python setup.py install
or even in a zip over http : https://github.com/govlog/pytaskpool/archive/master.zip

Usage
This sample code will simultanously launch 8 functions with differents parameters using a pool of 8 processes.
The results returned by all launched functions will be get by the method get_sorted_results(), which is a generator
returning the functions results in order.
The excepted execution time should be around 1 second.
Sample code:
import pytaskpool as tp
from time import sleep

def my_func(x):
sleep(1)
return x ** x

mypool = tp.TaskPool(8)

for r in range(8):
mypool.launch(my_func, r)

unsorted = [r for r in mypool.get_unsorted_results()]
sorted = [r for r in mypool.get_sorted_results()]

print ("unsorted :",unsorted)
print ("sorted :",sorted)
Terminal output should look like this:
$ time python examples/pytask_ex2.py
unsorted : [1, 1, 4, 27, 256, 46656, 3125, 823543]
sorted : [1, 1, 4, 27, 256, 3125, 46656, 823543]

real 0m1,055s
user 0m0,800s
sys 0m0,272s