Category : python-multithreading

Python ThreadPoolExecutor not running parallelly, it is calling cube method in sequence and waiting for complete, where I need to run 20 parallell threads from concurrent.futures import ThreadPoolExecutor from time import sleep def cube(x): sleep(2) print(f’Cube of {x}:{x*x*x}’) count = 0 while True: with ThreadPoolExecutor(max_workers=20) as exe: exe.submit(cube,2) count += 1 if count > 50: ..

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I have a python function to get some data from a url. The issue is that when I’m using the function with a simple loop its working fine, with a threadpoolexecutor() it is missing the data. here is the code: ses = requests.session() session = ‘session_id’ # Token_id used in url def get_url(id,ses,session): try: headers ..

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I’m having the code structure like below. def method1(x, y): … if condition: raise Exception …. while list1: … while list2: total_threads=[] for i in range(THREAD_COUNT): thread= Thread(target= method1, args = [arg1,arg2]) thread.start() total_threads.append(thread) for thread in total_threads: thread.join() list2 = … method2() … list1 = … And method1 is the main function that executes ..

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I was playing around with the pyxtension.streams library. The library advertises both lazy and parallel stream functionality. Exhibit 1 from pyxtensions.streams import stream def test(x: int) -> bool: print(x) return x == 5 stream(range(1000)).exists(test)) stream(range(1000)).map(test).exists(lambda x: x) stream(range(1000)).filter(test).exists(lambda x: x) >> 0, 1, 2, 3, 4, 5 => True >> 0, 1, 2, 3, 4, ..

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