After I input something and run the program, it goes into the main function but then prompts for input again. This issue is occurring when I run the program using command prompt on Windows version 3.8. import multiprocessing from concurrent.futures import ...
There is a class A that, when initialized, modifies a mutable class attribute called nums. Upon initializing the class using a Process pool with maxtasksperchild= 1, it appears that nums contains values from various processes, which is not the desired beh ...
Hi, I'm currently working on debugging multi processes in Python. Below is a snippet of code where I am running multiple processes using the Pool module: pool = Pool(num_half_logical_cpus) pool_result_dict = pool.starmap(process_batches, lstListSets) Des ...
I am currently developing a watchdog timer that is responsible for monitoring another Python program. If the watchdog timer fails to receive a check-in signal from any of the threads, it will shut down the entire program. This functionality is essential fo ...
As I divide a large text file into smaller chunks for further processing, the code utilizes a list of lists named text_chunks, each containing a section of text. The length of these sections varies from ~50 to ~15000 characters. Elsewhere in the code, ther ...
Looking for a way to efficiently update object attributes through parallel computing? I have multiple objects that require the same computation on their attributes, but they do not share information. The issue lies in the fact that processes within a proce ...
I am looking to run a Python function in parallel 100 times. Can anyone provide the code snippet to achieve this? from selenium import webdriver from selenium.webdriver.common.keys import Keys from selenium import webdriver from selenium.webdriver.chrome ...
I have a task in Airflow where I am loading data into a table. The process goes like this: query a database -> retrieve results as pandas data frame -> send the result set to multiple worker processes -> each worker process processes the rows and ...
While attempting to use multiprocessing Manager on a dictionary of dictionaries, I encountered an issue with my initial implementation: from multiprocessing import Process, Manager def task(stat): test['z'] += 1 test['y']['Y0'] += 5 if __name__ ...
I am currently exploring the concept of sharing read-only objects with multiprocessing. When I share the bigset as a global variable, everything works smoothly: from multiprocessing import Pool bigset = set(xrange(pow(10, 7))) def worker(x): return x ...
When running Python codes in parallel using concurrent.futures.ProcessPoolExecutor, I noticed that for larger values of n, there was a significant increase in RAM usage. Upon further investigation, it seemed that storing futures set (or list) was contribut ...
Currently, I'm running into issues with multiprocessing on Windows using Jupyter notebook. Instead of running all my async's in parallel, they are being executed serially one at a time. Can someone offer guidance on what might be going wrong? I need to s ...
I'm currently utilizing rabbitMQ for message reception. I have a million messages that need to be sent to the queue within a minute. Using multiprocessing in Python, my code is taking more than 5 minutes to send them all out. Is it feasible to achieve ...