Category : multithreading

I’m building a GEKKO model where I try to minimize a functional. This is done by 2D-fourier expanding the function and explicitly calculating the Riemann Sum of said functional. After increasing the number of fourier coefficients and the number of gridpoints, I run into an issue: my code looks something like this (I’ve neglected some ..

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I’m working on a Django project, in which I will need the use of multithreading and multiprocessing concepts (Send and receive data from other servers such as PACS server/ I/O Threads… ). The question I have is Django capable of applying multithreading /multiprocessing? Can we make two tasks run simultaneously or concurrently ? Thank you ..

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I have a server which has 96*2 cores and I write a python program to parallel simulate something. The following is my code import multiprocessing as mpr # ……………. # The multiprocessing part pool = mpr.Pool(processes=2) results = [pool.apply_async(BFP_Cal_Single, args=(lrun,theta_test_1d,phi_test_1d,ratio_test_1d)) for lrun in (range(num_test))] BFPtmp = [p.get() for p in results] pool.close() pool.join() data_use_test = ..

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This is a Producer Consumer Problem. I need a single producer and multiple consumers to access the shared data cell and each consumer needs to access the produced data before the producer makes additional data. The code works fine when there is a single consumer. I have attempted to make a list of the Producer ..

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I have two scripts a.py and b.py, they send data to each other via a local host (mqtt), and they both depend from a configuration file conf.json. I usually execute them in two different terminals, -a.py in one terminal -b.py in another and everything it’s ok. I am trying right now to create another script ..

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With the following code : def myFoo(par1,par2): res=par1+par2 return res inputPar=[(1,2),(2,3),(4,5)] with Pool() as pool: poolReturn=pool.starmap(myFoo, [(i) for i in inputPar]) can I be sure that the indice in poolReturn corresponds to the order the parameters has been sent ? That is : poolReturn[0]=3 #1+2 poolReturn[1]=5 #2+3 poolReturn[2]=9 #4+5 Source: Python-3x..

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Structure looks like this: def main(): try: a.start() a.join() except Exception as e: a.start() a.join() def a(): *endless while loop* try: for: if: elif: elif: b() except: def b(): *(…)* if: if: elif: c.start() c.join() def c(): *endless while loop* for: if: When the conditions in c() are met, the program performs analytics that could ..

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