import threading
import time
def worker(num):
"""
thread worker function
:return:
"""
time.sleep(1)
print("The num is %d" % num)
return
for i in range(20):
t = threading.Thread(target=worker,args=(i,)，name=“t.%d” % i)
t.start()
#!/usr/bin/env python
import Queue
import threading
message = Queue.Queue(10)
def producer(i):
while True:
message.put(i)
def consumer(i):
while True:
msg = message.get()
for i in range(12):
t = threading.Thread(target=producer, args=(i,))
t.start()
for i in range(10):
t = threading.Thread(target=consumer, args=(i,))
t.start()
Nach dem Login kopieren
那就自己做个线程池吧：
方法一
# 简单往队列中传输线程数
import threading
import time
import queue
class Threadingpool():
def __init__(self,max_num = 10):
self.queue = queue.Queue(max_num)
for i in range(max_num):
self.queue.put(threading.Thread)
def getthreading(self):
return self.queue.get()
def addthreading(self):
self.queue.put(threading.Thread)
def func(p,i):
time.sleep(1)
print(i)
p.addthreading()
if __name__ == "__main__":
p = Threadingpool()
for i in range(20):
thread = p.getthreading()
t = thread(target = func, args = (p,i))
t.start()
Nach dem Login kopieren
方法二
#往队列中无限添加任务
import queue
import threading
import contextlib
import time
StopEvent = object()
class ThreadPool(object):
def __init__(self, max_num):
self.q = queue.Queue()
self.max_num = max_num
self.terminal = False
self.generate_list = []
self.free_list = []
def run(self, func, args, callback=None):
"""
线程池执行一个任务
:param func: 任务函数
:param args: 任务函数所需参数
:param callback: 任务执行失败或成功后执行的回调函数，回调函数有两个参数1、任务函数执行状态；2、任务函数返回值（默认为None，即：不执行回调函数）
:return: 如果线程池已经终止，则返回True否则None
"""
if len(self.free_list) == 0 and len(self.generate_list) < self.max_num:
self.generate_thread()
w = (func, args, callback,)
self.q.put(w)
def generate_thread(self):
"""
创建一个线程
"""
t = threading.Thread(target=self.call)
t.start()
def call(self):
"""
循环去获取任务函数并执行任务函数
"""
current_thread = threading.currentThread
self.generate_list.append(current_thread)
event = self.q.get() # 获取线程
while event != StopEvent: # 判断获取的线程数不等于全局变量
func, arguments, callback = event # 拆分元祖，获得执行函数，参数，回调函数
try:
result = func(*arguments) # 执行函数
status = True
except Exception as e: # 函数执行失败
status = False
result = e
if callback is not None:
try:
callback(status, result)
except Exception as e:
pass
# self.free_list.append(current_thread)
# event = self.q.get()
# self.free_list.remove(current_thread)
with self.work_state():
event = self.q.get()
else:
self.generate_list.remove(current_thread)
def close(self):
"""
关闭线程，给传输全局非元祖的变量来进行关闭
:return:
"""
for i in range(len(self.generate_list)):
self.q.put(StopEvent)
def terminate(self):
"""
突然关闭线程
:return:
"""
self.terminal = True
while self.generate_list:
self.q.put(StopEvent)
self.q.empty()
@contextlib.contextmanager
def work_state(self):
self.free_list.append(threading.currentThread)
try:
yield
finally:
self.free_list.remove(threading.currentThread)
def work(i):
print(i)
return i +1 # 返回给回调函数
def callback(ret):
print(ret)
pool = ThreadPool(10)
for item in range(50):
pool.run(func=work, args=(item,),callback=callback)
pool.terminate()
# pool.close()
from multiprocessing import Process
def func(name):
print('hello', name)
if __name__ == "__main__":
p = Process(target=func,args=('zhangyanlin',))
p.start()
p.join() # 等待进程执行完毕
#apply
from multiprocessing import Pool
import time
def f1(i):
time.sleep(0.5)
print(i)
return i + 100
if __name__ == "__main__":
pool = Pool(5)
for i in range(1,31):
pool.apply(func=f1,args=(i,))
#apply_async
def f1(i):
time.sleep(0.5)
print(i)
return i + 100
def f2(arg):
print(arg)
if __name__ == "__main__":
pool = Pool(5)
for i in range(1,31):
pool.apply_async(func=f1,args=(i,),callback=f2)
pool.close()
pool.join()
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