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python Programming Glossary: poolHow to generate all permutations of a list in Python http://stackoverflow.com/questions/104420/how-to-generate-all-permutations-of-a-list-in-python CD DA DB DC # permutations range 3 012 021 102 120 201 210 pool tuple iterable n len pool r n if r is None else r if r n return.. range 3 012 021 102 120 201 210 pool tuple iterable n len pool r n if r is None else r if r n return indices range n cycles.. n return indices range n cycles range n n r 1 yield tuple pool i for i in indices r while n for i in reversed range r cycles..
Keyboard Interrupts with python's multiprocessing Pool http://stackoverflow.com/questions/1408356/keyboard-interrupts-with-pythons-multiprocessing-pool import exit def slowly_square i sleep 1 return i i def go pool Pool 8 try results pool.map slowly_square range 40 except KeyboardInterrupt.. i sleep 1 return i i def go pool Pool 8 try results pool.map slowly_square range 40 except KeyboardInterrupt # THIS PART.. 40 except KeyboardInterrupt # THIS PART NEVER EXECUTES. pool.terminate print You cancelled the program sys.exit 1 print nFinally..
Can't pickle <type 'instancemethod'> when using python's multiprocessing Pool.map() http://stackoverflow.com/questions/1816958/cant-pickle-type-instancemethod-when-using-pythons-multiprocessing-pool-ma fine import multiprocessing def f x return x x def go pool multiprocessing.Pool processes 4 #result pool.apply_async self.f.. x x def go pool multiprocessing.Pool processes 4 #result pool.apply_async self.f 10 #print result.get timeout 1 print pool.map.. self.f 10 #print result.get timeout 1 print pool.map f range 10 if __name__ '__main__' go However when I use..
when does Python allocate new memory for identical strings? http://stackoverflow.com/questions/2123925/when-does-python-allocate-new-memory-for-identical-strings strategy because when building that function's constants pool it's pretty fast and easy to avoid duplicates but doing so across.. to many duplications you can implement your own constants pool strategy quite easily intern can help you do it for strings..
Solving embarassingly parallel problems using Python multiprocessing http://stackoverflow.com/questions/2359253/solving-embarassingly-parallel-problems-using-python-multiprocessing to wait for all the results Should I use a processes pool for the sum operations If yes what method do I call on the pool.. for the sum operations If yes what method do I call on the pool to get it to start processing the results coming into the input..
Python thread pool similar to the multiprocessing Pool? http://stackoverflow.com/questions/3033952/python-thread-pool-similar-to-the-multiprocessing-pool thread pool similar to the multiprocessing Pool Is there a Pool class for.. actual function call. Do I have to write my own threading pool python multithreading missing features share improve this.. documented. It can be imported via from multiprocessing.pool import ThreadPool It is implemented using a dummy Process class..
Is shared readonly data copied to different processes for Python multiprocessing? http://stackoverflow.com/questions/5549190/is-shared-readonly-data-copied-to-different-processes-for-python-multiprocessing #do stuff on args and def_param if __name__ '__main__' pool Pool processes 4 pool.map my_func range 1000 Is there a way.. and def_param if __name__ '__main__' pool Pool processes 4 pool.map my_func range 1000 Is there a way to make sure or encourage.. shared_array shared_array i i if __name__ '__main__' pool multiprocessing.Pool processes 4 pool.map my_func range 10 print..
Shared-memory objects in python multiprocessing http://stackoverflow.com/questions/10721915/shared-memory-objects-in-python-multiprocessing arr param # do stuff to arr param # build array arr pool Pool processes 6 results pool.apply_async func arr param for param.. there is a huge overhead from multiprocessing import Pool Manager import numpy as np import time def f arr return len.. np.arange 10000000 print construct array time.time t pool Pool processes 6 t time.time res pool.apply_async f arr res.get print..
Keyboard Interrupts with python's multiprocessing Pool http://stackoverflow.com/questions/1408356/keyboard-interrupts-with-pythons-multiprocessing-pool Interrupts with python's multiprocessing Pool How can I handle KeyboardInterrupt events with python's multiprocessing.. KeyboardInterrupt events with python's multiprocessing Pools Here is a simple example from multiprocessing import Pool from.. Pools Here is a simple example from multiprocessing import Pool from time import sleep from sys import exit def slowly_square..
multiprocessing GUI schemas to combat the “Not Responding” blocking http://stackoverflow.com/questions/15698251/multiprocessing-gui-schemas-to-combat-the-not-responding-blocking back and forth for myself. Then I found out about the Pool Interface and then I could replace all that hidious code with.. self.list QListWidget self.setCentralWidget self.list # Pool of Background Processes self.pool multiprocessing.Pool processes.. # Pool of Background Processes self.pool multiprocessing.Pool processes 4 def addTask self num_row self.list.count self.pool.apply_async..
Python thread pool similar to the multiprocessing Pool? http://stackoverflow.com/questions/3033952/python-thread-pool-similar-to-the-multiprocessing-pool thread pool similar to the multiprocessing Pool Is there a Pool class for worker threads similar to the multiprocessing.. pool similar to the multiprocessing Pool Is there a Pool class for worker threads similar to the multiprocessing module's.. for worker threads similar to the multiprocessing module's Pool class I like for example the easy way to parallelize a map function..
Multiprocessing: using Pool.map on a function defined in a class http://stackoverflow.com/questions/3288595/multiprocessing-using-pool-map-on-a-function-defined-in-a-class using Pool.map on a function defined in a class when i run something like.. when i run something like from multiprocessing import Pool p Pool 5 def f x return x x p.map f 1 2 3 it works fine. However.. i run something like from multiprocessing import Pool p Pool 5 def f x return x x p.map f 1 2 3 it works fine. However putting..
Is shared readonly data copied to different processes for Python multiprocessing? http://stackoverflow.com/questions/5549190/is-shared-readonly-data-copied-to-different-processes-for-python-multiprocessing stuff on args and def_param if __name__ '__main__' pool Pool processes 4 pool.map my_func range 1000 Is there a way to make.. i i if __name__ '__main__' pool multiprocessing.Pool processes 4 pool.map my_func range 10 print shared_array which..
Python multiprocessing: sharing a large read-only object between processes? http://stackoverflow.com/questions/659865/python-multiprocessing-sharing-a-large-read-only-object-between-processes '__main__' big_lookup_object marshal.load 'file.bin' pool Pool processes 4 print pool.map do_some_processing glob.glob ' .data'..
Python multiprocessing.Pool: when to use apply, apply_async or map? http://stackoverflow.com/questions/8533318/python-multiprocessing-pool-when-to-use-apply-apply-async-or-map multiprocessing.Pool when to use apply apply_async or map I have not seen clear.. or map I have not seen clear examples with use cases for Pool.apply Pool.apply_async and Pool.map . I am mainly using Pool.map.. have not seen clear examples with use cases for Pool.apply Pool.apply_async and Pool.map . I am mainly using Pool.map what are..
Using Python's Multiprocessing module to execute simultaneous and separate SEAWAT/MODFLOW model runs http://stackoverflow.com/questions/9874042/using-pythons-multiprocessing-module-to-execute-simultaneous-and-separate-seawa real os.system exe swt_nam if __name__ '__main__' p mp.Pool processes mp.cpu_count 1 # leave 1 processor available for system.. to even run no Python error if __name__ '__main__' p mp.Pool processes mp.cpu_count 1 # leave 1 processor available for system.. appreciated EDIT 3 26 2012 13 31 EST Using the Manual Pool method in @J.F. Sebastian's answer below I get parallel execution..
Managing connection to redis from python http://stackoverflow.com/questions/12967107/managing-connection-to-redis-from-python be done by declaring a pool of connections import redis POOL redis.ConnectionPool host '10.0.0.1' port 6379 db 0 def getVariable.. variable_name my_server redis.Redis connection_pool POOL response my_server.get variable_name return response def setVariable.. variable_value my_server redis.Redis connection_pool POOL my_server.set variable_name variable_value Please note connection..
Gracefully handling “MySQL has gone away” http://stackoverflow.com/questions/1987701/gracefully-handling-mysql-has-gone-away Starting database pool... 31 Dec 2009 20 47 29 ENGINE POOL Connecting to MySQL... 31 Dec 2009 20 47 29 ENGINE POOL Connecting.. POOL Connecting to MySQL... 31 Dec 2009 20 47 29 ENGINE POOL Connecting to MySQL... 31 Dec 2009 20 47 29 ENGINE POOL Connecting.. POOL Connecting to MySQL... 31 Dec 2009 20 47 29 ENGINE POOL Connecting to MySQL... 31 Dec 2009 20 47 29 ENGINE POOL Connecting..
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