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RuntimeError on windows trying python multiprocessing
...void creating subprocesses recursively.
Modified testMain.py:
import parallelTestModule
if __name__ == '__main__':
extractor = parallelTestModule.ParallelExtractor()
extractor.runInParallel(numProcesses=2, numThreads=4)
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How to import multiple .csv files at once?
...ariables but each from different times.
Is there a way in R to import them all simultaneously rather than having to import them all individually?
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How can I open multiple files using “with open” in Python?
I want to change a couple of files at one time, iff I can write to all of them. I'm wondering if I somehow can combine the multiple open calls with the with statement:
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split string only on first instance of specified character
...Very elegant. Works like a charm. Thank you.
– Ofeargall
Jan 5 '11 at 18:43
12
Just to be clear, ...
Javascript Functions and default parameters, not working in IE and Chrome
...or are you saying the Mozilla docs are inaccurate?
– php-b-grader
Jun 19 at 0:12
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show 1 more comment
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Windows threading: _beginthread vs _beginthreadex vs CreateThread C++
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CreateThread() is a raw Win32 API call for creating another thread of control at the kernel level.
_beginthread() & _beginthreadex() are C runtime library calls that call CreateThread() behind the scenes. Once CreateThread() has returned, _beginthread/ex...
A python class that acts like dict
...er) instead of simply delegating to the instance's __dict__ - which essentially means you're creating two dicts for every instance.
– Aaron Hall♦
Jan 8 '17 at 0:39
8
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How to implement an ordered, default dict? [duplicate]
...deredDict() and defaultdict() from collections in one object, which shall be an ordered, default dict .
Is this possible?
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Node.js - getting current filename
... Unless your extension isn't 2 characters long, which is totally possible because you can bind script interpretation to any file extension you want... so this may not be a good all-around solution.
– ErikE
Mar 14 '19 at 1:57
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Use numpy array in shared memory for multiprocessing
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To add to @unutbu's (not available anymore) and @Henry Gomersall's answers. You could use shared_arr.get_lock() to synchronize access when needed:
shared_arr = mp.Array(ctypes.c_double, N)
# ...
def f(i): # could be anything numpy accepts as an index such another numpy array
with ...