Python Logging to a single file on ProcessPoolExecutor within a Process workers with QueueHandler
I want to add logs to a single file from different Processes, which contain a ProcessPoolExectuor.
Getting data into a manager.dict and sharing it between processes
I’m currently trying to teach myself how to handle live data by streaming Forza telemetry data from my xbox to my PC. I’m having issues storing that data in a manager.dict and sharing it to other processes. I’ve created a manager.dict called packets, here is the app.py:
Multiprocessing as slow as sequential
def blend(s1_num, ind_f, ind_t, connection): s2_num = 1.0 – s1_num blended_array = [] blended_vec = [] lt = len(template) for i in range(ind_f, ind_t): p = np.array(nlp.vocab[s1[i]].vector) o = np.array(nlp.vocab[s2[i]].vector) p *= s1_num o *= s2_num blended_vec = p + o ms = nlp.vocab.vectors.most_similar(np.asarray([blended_vec]), n=16) words = [nlp.vocab.strings[w] for w in ms[0][0]] blended_array = blended_array […]
What is the lifecycle of a process in python multiprocessing?
In normal Python code, I can understand the lifecycle of the process. e.g. when executing python script.py
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