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()

import threading
import time
globals_num = 0
lock = threading.RLock()
def Func():
 lock.acquire() # 获得锁 
 global globals_num
 globals_num += 1
 time.sleep(1)
 print(globals_num)
 lock.release() # 释放锁 
for i in range(10):
 t = threading.Thread(target=Func)
 t.start()

import threading
lock = threading.Lock() #Lock对象
lock.acquire()
lock.acquire() #产生了死琐。
lock.release()
lock.release()　 
import threading
rLock = threading.RLock() #RLock对象
rLock.acquire()
rLock.acquire() #在同一线程内，程序不会堵塞。
rLock.release()
rLock.release()

import threading
def do(event):
  print('start')
  event.wait()
  print('execute')
event_obj = threading.Event()
for i in range(10):
  t = threading.Thread(target=do, args=(event_obj,))
  t.start()
event_obj.clear()
inp = input('input:')
if inp == 'true':
  event_obj.set(

import threading
import time
def consumer(cond):
  with cond:
    print("consumer before wait")
    cond.wait()
    print("consumer after wait")
def producer(cond):
  with cond:
    print("producer before notifyAll")
    cond.notifyAll()
    print("producer after notifyAll")
condition = threading.Condition()
c1 = threading.Thread(name="c1", target=consumer, args=(condition,))
c2 = threading.Thread(name="c2", target=consumer, args=(condition,))
p = threading.Thread(name="p", target=producer, args=(condition,))
c1.start()
time.sleep(2)
c2.start()
time.sleep(2)
p.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()

# 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()

#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

from multiprocessing import Array,Value,Process
def func(a,b):
  a.value = 3.333333333333333
  for i in range(len(b)):
    b[i] = -b[i]
if __name__ == "__main__":
  num = Value('d',0.0)
  arr = Array('i',range(11))
  c = Process(target=func,args=(num,arr))
  d= Process(target=func,args=(num,arr))
  c.start()
  d.start()
  c.join()
  d.join()
  print(num.value)
  for i in arr:
    print(i)<br>输出：<br>　　3.1415927<br>　　[0, -1, -2, -3, -4, -5, -6, -7, -8, -9]

from multiprocessing import Process,Manager
def f(d,l):
  d["name"] = "zhangyanlin"
  d["age"] = 18
  d["Job"] = "pythoner"
  l.reverse()
if __name__ == "__main__":
  with Manager() as man:
    d = man.dict()
    l = man.list(range(10))
    p = Process(target=f,args=(d,l))
    p.start()
    p.join()
    print(d)
    print(l)<br><br>输出： 
　　{0.25: None, 1: '1', '2': 2}
　　[9, 8, 7, 6, 5, 4, 3, 2, 1, 0]

#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()

map(func, iterable[, chunksize])¶
map_async(func, iterable[, chunksize[, callback[, error_callback]]])¶
imap(func, iterable[, chunksize])¶
imap_unordered(func, iterable[, chunksize])
starmap(func, iterable[, chunksize])¶
starmap_async(func, iterable[, chunksize[, callback[, error_back]]])

import asyncio
async def cor1():
  print("COR1 start")
  await cor2()
  print("COR1 end")
async def cor2():
  print("COR2")
loop = asyncio.get_event_loop()
loop.run_until_complete(cor1())
loop.close()

import greenlet
def fun1():
  print("12")
  gr2.switch()
  print("56")
  gr2.switch()
def fun2():
  print("34")
  gr1.switch()
  print("78")
gr1 = greenlet.greenlet(fun1)
gr2 = greenlet.greenlet(fun2)
gr1.switch()

pip3 install --upgrade pip3
pip3 install gevent
import gevent
def fun1():
  print("www.baidu.com")  # 第一步
  gevent.sleep(0)
  print("end the baidu.com") # 第三步
def fun2():
  print("www.zhihu.com")  # 第二步
  gevent.sleep(0)
  print("end th zhihu.com") # 第四步
gevent.joinall([
  gevent.spawn(fun1),
  gevent.spawn(fun2),
])

import gevent
import requests
def func(url):
  print("get: %s"%url)
  gevent.sleep(0)
  date =requests.get(url)
  ret = date.text
  print(url,len(ret))
gevent.joinall([
  gevent.spawn(func, 'https://www.python.org/'),
  gevent.spawn(func, 'https://www.yahoo.com/'),
  gevent.spawn(func, 'https://github.com/'),
])