>>> from multiprocessing import Pool >>> p = Pool(5) >>> def f(x): ... return x*x ... >>> p.map(f, [1,2,3]) Process SpawnPoolWorker-6: Process SpawnPoolWorker-7: Process SpawnPoolWorker-5: Traceback (most recent call last): ... AttributeError: Can't get attribute 'f...
/usr/bin/env python# -*- coding:utf-8 -*-importtimeimportosfrommultiprocessingimportPool, TimeoutErrordeff(x):returnx*xif__name__ =='__main__':# 启动 4 个工作进程withPool(processes=4)aspool:# 输出 "[0, 1, 4,..., 81]"print(pool.map(f,range(10)))# 输出:[0, 1, 4, 9,...
print(result.get(timeout=1))# raises multiprocessing.TimeoutError 2.7. listeners and clients 通常进程之间的消息传递使用队列或者Pipe() 生成的connection对象。 multiprocessing.connection模块可以提供更灵活一些的操作功能。 It basically gives a high level message oriented API for dealing with sockets or Wind...
multiprocessing支持进程之间的两种通信信道 队列 multiprocessing.Queue类近乎是queue.Queue的克隆. 例如: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 from multiprocessingimportProcess,Queue deff(q):q.put([42,None,'hello'])if__name__=='__main__':q=Queue()p=Process(target=f,args=(q,))p....
imap_unordered(_http_get, get_pictures(client)) except KeyboardInterrupt: pool.terminate() pool.join() raise SystemExit(1) except MaybeEncodingError: pass insert_sqlite_data(data) update_es_data(cursor, client) conn.close() Example #4Source File: _test_multiprocessing.py From Project-New-...
# -*- coding: utf-8 -*-import ioimport randomimport shutilimport sysfrom multiprocessing.pool import ThreadPoolimport pathlibimport requestsfrom PIL import Imageimport timestart = time.time()def get_download_location(): try: url_input = sys.argv[1] except IndexError: print('ERROR: Please pr...
_multiprocessing distutils pickleshare this _opcode django pickletools threading _operator doctest piptime_osx_support dummy_threading pipes timeit _pickle easy_install pkg_resources token _posixsubprocess else_exp pkgutil tokenize _pydecimal email platform tornado ...
subprocess.check_call(job["command"]) def main(): with multiprocessing.Pool(2) as p: jobs = [{"command": ["cmd", "/c timeout 5"]} for x in range(10)] for result in p.imap_unordered(run_command, jobs): pass if __name__ == "__main__": main()...
sleep(0.01) 多进程支持 from tqdm import tqdm import multiprocessing as mp def worker(x): time.sleep(0.01) return x * x with mp.Pool(processes=4) as pool: results = list(tqdm(pool.imap(worker, range(100)), total=100))编辑于 2024-12-10 20:45・北京 Python 入门 Python...
pool.imap()分块+快速返回 pool.map_async()阻塞主进程+最后返回 pool.apply_async()不阻塞主进程 七、daemon 一、主进程与子进程之间交互 Pool from multiprocessing import Pool import os def f(x): print('Child process id:', os.getpid()) ...