multiprocessing

问题 import threading def rand_function1(): #random actions def rand_function2(): #random actions def main() rand_function1 rand_function2 return if __name__ == '__main__': url_list = "https://www.rand_urls.com/" driver = webdriver.Firefox() for t in range(10): t = threading.Thread(target=main) t.start() I have this simple program that I am trying to open urls using 10 Firefox web drivers. However, all it does it use one browser and continue to cycle though urls thought that individual browser. I

问题 The following naive, absolute-beginner code works 100% well on Ubuntu 14.04 (Python 2.7.6) and Cygwin (Python 2.7.8) but it hangs on Windows 64-bit (Python 2.7.8). I have observed the same with another snippets using the multiprocessing package. from multiprocessing import Process, Queue from time import time def WallisPi(N,out): # Pi by the (slowly convergent) Wallis method. prod = 1.0 for i in xrange(2,N,2): prod = prod*(i**2)/((i+1)**2) prod = 2.0e0*prod*(i+1) out.put(prod) return 0 if _

问题 This question already has an answer here : No module named 'Queue' (1 answer) Closed 2 years ago . I'm converting a source code written in Python 2 to Python 3 and I stumbled into this: from Queue import Queue, Empty I changed it to: from multiprocessing import Queue, Empty But this gives me an exception: ImportError: cannot import name 'Empty' How do I fix this? 回答1: multiprocessing.Queue is used for processes, don't let the capitalization confuse you. Queue, which was renamed to queue in

问题 The following naive, absolute-beginner code works 100% well on Ubuntu 14.04 (Python 2.7.6) and Cygwin (Python 2.7.8) but it hangs on Windows 64-bit (Python 2.7.8). I have observed the same with another snippets using the multiprocessing package. from multiprocessing import Process, Queue from time import time def WallisPi(N,out): # Pi by the (slowly convergent) Wallis method. prod = 1.0 for i in xrange(2,N,2): prod = prod*(i**2)/((i+1)**2) prod = 2.0e0*prod*(i+1) out.put(prod) return 0 if _

问题 I am try to use multiprocessing to create a non-blocking GUI. The function Multiprocessing.Pool.appy_async() allows a callback function to be added, making it easy to update the main GUI after a time-intensive operation has been completed. However, the following code still blocks when clicking on button1. How can I modify this so that while the button1 callback is executing, button2 still responds. I am running python 2.7 and multiprocessing 0.70a1. from PySide.QtCore import * from PySide

问题 The code below works perfectly on Unix but generates a multiprocessing.TimeoutError on Windows 7 (both OS use python 2.7). Any idea why? Thanks. from multiprocessing import Pool def increment(x): return x + 1 def decrement(x): return x - 1 pool = Pool(processes=2) res1 = pool.map_async(increment, range(10)) res2 = pool.map_async(decrement, range(10)) print res1.get(timeout=1) print res2.get(timeout=1) 回答1: You need to put your actual program logic in side a if __name__ == '__main__': block.

问题 I have a (large) list with male and female agentes. I want to apply different functions to each. How can I use Pool in such a case? Given that the agents are independent of each other. An example would be: males = ['a', 'b', 'c'] females = ['d', 'e', 'f'] for m in males: func_m(m) for f in females: func_f(f) I started like that: from multiprocessing import Pool p = Pool(processes=2) p.map() # Here is the problem I would like to have something like: p.ZIP(func_f for f in females, func_m for m

问题 I am running Matlab2017 on windows 10. I call a python script that runs some Speech Recognition task on cloud with something like this: userAuthCode=1;% authentication code for user account to be run on cloud cmd = ['C:\Python27\python.exe runASR.py userAuthCode]; system(cmd); When the above command is called, the python script runs the input audio file on the ASR cloud engine, and as it runs, I can see Speech Recognition scores for the audio file from Python in the Matlab console. I want to

问题 In the documentation for fit_generator() (docs: https://keras.io/models/sequential/#fit_generator) it says that the parameter use_multiprocessing accepts a bool that if set to True allows process-based threading. It also says that the parameter workers is an integer that designates how many process to spin up if using process-based threading. Apparently it defaults to 1 (a single process based thread) and if set to 0 it will execute the generator on the main thread. What I thought this meant

问题 I'm using multiprocessing to create sub-process to my application. I also share a dictionary between the process and the sub-process. Example of my code: Main process: from multiprocessing import Process, Manager manager = Manager() shared_dict = manager.dict() p = Process(target=mysubprocess, args=(shared_dict,)) p.start() p.join() print shared_dict my sub-process: def mysubprocess(shared_dict): shared_dict['list_item'] = list() shared_dict['list_item'].append('test') print shared_dict In