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python Programming Glossary: mpUsing multiprocessing.Manager.list instead of a real list makes the calculation take ages http://stackoverflow.com/questions/13121790/using-multiprocessing-manager-list-instead-of-a-real-list-makes-the-calculation ways of using multiprocessing starting with this example cat multi_bad.py import multiprocessing as mp from time import.. starting with this example cat multi_bad.py import multiprocessing as mp from time import sleep from random.. this example cat multi_bad.py import multiprocessing as mp from time import sleep from random import randint def f l t..
multiprocessing GUI schemas to combat the “Not Responding” blocking http://stackoverflow.com/questions/15698251/multiprocessing-gui-schemas-to-combat-the-not-responding-blocking a place for the internet community to come and find examples on how to use the multiprocessing module in python. I have.. module in python. I have seen several small examples of multiprocessing processes on the internet of simple global.. examples of multiprocessing processes on the internet of simple global functions which are called in a main module but I have..
Can I use a multiprocessing Queue in a function called by Pool.imap? http://stackoverflow.com/questions/3827065/can-i-use-a-multiprocessing-queue-in-a-function-called-by-pool-imap out how to get it work. So this is my basic working example minus the use of a Queue. import multiprocessing as mp import.. is my basic working example minus the use of a Queue. import multiprocessing as mp import time def f x return x x def.. minus the use of a Queue. import multiprocessing as mp import time def f x return x x def main pool mp.Pool results..
Hadoop Streaming: Mapper 'wrapping' a binary executable http://stackoverflow.com/questions/4113798/hadoop-streaming-mapper-wrapping-a-binary-executable a pipeline that I currently run on a large university computer cluster. For publication purposes I'd like to convert it.. the input and output using the python subprocess and tempfile modules. Unfortunately I didn ™t write the binary executables.. 0.21.0 streaming.jar input Users me Desktop Code AWS temp data.txt output Users me Desktop aws_test mapper mapper.py reducer..
How do I pass large numpy arrays between python subprocesses without saving to disk? http://stackoverflow.com/questions/5033799/how-do-i-pass-large-numpy-arrays-between-python-subprocesses-without-saving-to-d do I pass large numpy arrays between python subprocesses without saving to disk .. subprocesses without using the disk Here's a cartoon example of what I'm hoping to accomplish import sys subprocess numpy.. disk Here's a cartoon example of what I'm hoping to accomplish import sys subprocess numpy cmdString import sys numpy done..
Matplotlib errors result in a memory leak. How can I free up that memory? http://stackoverflow.com/questions/7125710/matplotlib-errors-result-in-a-memory-leak-how-can-i-free-up-that-memory of the graph. This can result in 'Overflow Error Agg complexity exceeded' When that happens up to 100MB of RAM get tied.. memory Thanks. Here is some code that gives me the Agg Complexity Error. import matplotlib matplotlib.use 'Agg' import matplotlib.pyplot.. Here is some code that gives me the Agg Complexity Error. import matplotlib matplotlib.use 'Agg' import matplotlib.pyplot..
http://stackoverflow.com/questions/7865430/multiprocessing-pool-picklingerror-cant-pickle-type-thread-lock-attribu version new_version json packages.get_nowait except Queue.Empty break txt 'A new release is avaiable for 0 1 s old 2 update'.format.. failed python threadpool multiprocessing pickle share improve this question multiprocessing passes tasks which include.. must be pickable. Queue s themselves are not pickable import multiprocessing as mp import Queue def foo queue pass pool..
Use numpy array in shared memory for multiprocessing http://stackoverflow.com/questions/7894791/use-numpy-array-in-shared-memory-for-multiprocessing numpy array in shared memory for multiprocessing I would like to.. shared memory for multiprocessing I would like to use a numpy array in shared memory for use with the multiprocessing module... module. The difficulty is using it like a numpy array and not just as a ctypes array. from multiprocessing..
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 to use apply apply_async or map I have not seen clear examples with use cases for Pool.apply Pool.apply_async and Pool.map.. python multithreading concurrency multiprocessing share improve this question Back in the old days of Python to call a.. process. Pool.apply blocks until the function is completed. Pool.apply_async is also like Python's built in apply..
Python multiprocessing pickling error http://stackoverflow.com/questions/8804830/python-multiprocessing-pickling-error I am sorry that I can't reproduce the error with a simpler example and my code is too complicated to post. If I run.. sorry that I can't reproduce the error with a simpler example and my code is too complicated to post. If I run the program.. the error with a simpler example and my code is too complicated to post. If I run the program in IPython shell instead..
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 and separate SEAWAT MODFLOW model runs I'm trying to complete 100 model runs on my 8 processor 64 bit Windows 7 machine... parameter sets I'd like to run through SEAWAT MODFLOW to compare the results. I have pre built the model input files for each.. running at a time until all realizations have been completed. There needn't be communication between processes or display..
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