I was trying to multithread the code for “Suspend / Hibernate pc with python” provided by Ronan Paixão when I find that time.sleep() does not suspend the thread that run pywin32 module. >>> Warning! The following code will put Windows to sleep <<< The print function did waited for time.sleep(), but the Windows was immediately put to sleep. What happened?
Tag: multithreading
Using threading/multiprocessing in Python to download images concurrently
I have a list of search queries to build a dataset: classes = […]. There are 100 search queries in this list. Basically, I divide the list into 4 chunks of 25 queries. And below, I’ve created a function that downloads queries from each chunk iteratively: However, I want to run each 4 chunks concurrently. In other words, I want
How to automatically split a pandas dataframe into multiple chunks?
We have a batch processing system which we are looking to modify to use multiple threads. The process takes in a delimited file and performs calculations on it via pandas. I would like to split up the dataframe into N chunks if the total amount of records exceeds a threshold. Each chunk should then be fed to a thread from
How to kill C pthreads created by python ctypes.LoadLibrary
The module I’m using loads C library via ctypes.LoadLibrary in __init__ and calls a function which creates two processes using pthread_create C api. Thread IDs are not stored anywhere. These processes contain while(1) loops that read and write to serial port. I want to be able to kill the library threads, use said serial port for other purposes and then
Why does python’s ThreadPoolExecutor work queue appear to accept more items than its maximum workers?
This will output This code will output 10 HTTP_200’s (on my machine) instead 5. I expected that number of requests I make to the executor is equal to the number of jobs put into the thread executor queue. Why is this the case? How can I limit this number to the number of max workers? Answer It appears that self.executor._work_queue.qsize()
Python multi connection downloader resuming after pausing makes download run endlessly
I have written a Python script that downloads a single file using 32 connections if available. I have written a multiconnection downloader that works fine without pausing, but won’t stop downloading after resuming, the progress would go beyond 100%… Like this: After progress exceeds 100%, there will be error messages like this: (The above doesn’t include all of the error
Identify current thread in concurrent.futures.ThreadPoolExecutor
the following code has 5 workers …. each opens its own worker_task() BUT ….. inside each worker_task() …… I cannot identify … which of the 5 workers is currently being used (Worker_ID) If I want to print(‘worker 3 has finished’) inside worker_task() ….. I cannot do this because executor.submit does not allow Any solutions? Answer You can get name of
How to assign values that are available to threads
Im currently working on a scraper where I am trying to figure out how I can assign proxies that are avaliable to use, meaning that if I use 5 threads and if thread-1 uses proxy A, no other threads should be able to access proxy A and should try do randomize all available proxy pool. I wonder how I can
Is there a way to have threads communicate with each other?
Hi I am trying to make it so 2 threads will change the other one but I can’t figure it out this is an example of what I have When they run thing2 will print 0, not the seconds. I have it so they run later this is just all the code that’s necessary Answer You need to use a
Basic python threading is not working. What am I missing in this?
I am trying to use python threading and am having problems getting the threads to work independently. They seem to be running in sequential order and waiting for one to finish before starting to process the next thread. I have read other posts suggesting that I need to get more work into the threads to differentiate actual CPU work vs