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Python launch subprocess in background7/26/2023 txt file, and then have set up the master script/process to look for and read the message. Not being a "real" programmer, I simply rely on the child process writing out messages in a. I use os.P_NOWAIT (instead of os.P_WAIT) to launch multiple instances of slave scripts (that run in python.exe) to, in effect, create a pseudo method of parallel processing. I have struggled with finding a replacement for the 'os.P_NOWAIT' option of the os.spawnv method. IntReturnCode = subprocess.call()ĬolNewArray = pickle.load(open(strOutputFile, 'rb'))ĬolArray = pickle.load(open(strOutputFile, 'rb'))ĬolArray = numpy.vstack((colArray, colArray2))Ĭurious, but if you find a good method for doing this can you post it here? Pickle.dump(colArray, open(strOutputFile, 'wb')) StrOutputFile = os.path.join(os.getenv('TEMP'), "array.pkl") Import numpy, pickle, os, subprocess, sys ![]() The parent script unpickles the modified array and prints the result.The child script "unpickles" (de-serializes) the array, modifies it, then re-pickles it.The file path is passed to the child script to start a subprocess. ![]() ![]() The parent.py script creates a simply numpy array and "pickles" (serializes) it to a file.The two scripts below show how this works. Regarding serialization, they are likely referring to using pickle or marshall to save the numpy object to a file.
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