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In this article Xiaobian for you to introduce in detail "Python how to use multithreading method to rearrange the array", the content is detailed, the steps are clear, the details are handled properly, I hope this "Python how to use multithreading method to rearrange the array" article can help you solve doubts, following the editor's ideas slowly in-depth, together to learn new knowledge.

Suppose you have an array of characters, just like 'XOOOXOX', I need to rearrange this array' XXXOOOO'. So how do you create simple python code and rearrange arrays using a multithreaded approach?

I just created a virtual thread to work, which may not show a performance improvement at all:

Import randomimport threadinga = random.choices (['Xboxes,' O'], kryp10000) a = '.join (a) print (a.count (' X'), a.count ('O')) thread_count = 4lock = threading.Lock () x_count = 0o_count = 0def chunk_it (seq Num): avg = len (seq) / float (num) out = [] last = 0.0 while last < len (seq): out.append (seq [last (last): int (last + avg)]) last + = avg return outdef d (I): global x_count global o_count data_part = chunk_it (a Thread_count) [I] with lock: x_count + = data_part.count ('X') o_count + = data_part.count ('O') ts = [] for i in range (thread_count): t = threading.Thread (target=d, args= (I) ) ts.append (t) for t in ts: t.start () for t in ts: t.join () a ='X' * x_count +'O' * o_countprint (a) print (a.count ('X'), a.count ('O'))

This demo is designed to use the api display of threads with relatively low Python. The concurrency of snakes is led by several modules: threading, multiprocessing, concurrent.futures, asyncio, and so on.

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