在python里使用await关键字来等另外一个协程的实例

一个协程里可以启动另外一个协程，并等待它完成返回结果，采用await关键字，

例子如下：

import asyncio
 
async def outer():
  print('in outer')
  print('waiting for result1')
  result1 = await phase1()
  print('waiting for result2')
  result2 = await phase2(result1)
  return (result1, result2)
 
async def phase1():
  print('in phase1')
  return 'result1'
 
async def phase2(arg):
  print('in phase2')
  return 'result2 derived from {}'.format(arg)
 
event_loop = asyncio.get_event_loop()
try:
  return_value = event_loop.run_until_complete(outer())
  print('return value: {!r}'.format(return_value))
finally:
  event_loop.close()

输出结果如下：
in outer
waiting for result1
in phase1
waiting for result2
in phase2
return value: ('result1', 'result2 derived from result1')

await关键字添加了一个新的协程到循环里，而不需要明确地添加协程到这个事件循环里。

补充知识：python里使用Condition对象来唤醒指定数量的协程

在asyncio库里，定义Condition对象，它的行为与事件Event有点像，区别是事件是通知所有对象，Condition对象可以指定一定数量的协程被通知，它是通过函数notify()来实现的，如果参数里放2，就是通知两个协程，例子如下：

import asyncio
 
async def consumer(condition, n):
  with await condition:
    print('consumer {} is waiting'.format(n))
    await condition.wait()
    print('consumer {} triggered'.format(n))
  print('ending consumer {}'.format(n))
 
async def manipulate_condition(condition):
  print('starting manipulate_condition')
 
  # pause to let consumers start
  await asyncio.sleep(0.1)
 
  for i in range(1, 3):
    with await condition:
      print('notifying {} consumers'.format(i))
      condition.notify(n=i)
    await asyncio.sleep(0.1)
 
  with await condition:
    print('notifying remaining consumers')
    condition.notify_all()
 
  print('ending manipulate_condition')
 
async def main(loop):
  # Create a condition
  condition = asyncio.Condition()
 
  # Set up tasks watching the condition
  consumers = [
    consumer(condition, i)
    for i in range(5)
  ]
 
  # Schedule a task to manipulate the condition variable
  loop.create_task(manipulate_condition(condition))
 
  # Wait for the consumers to be done
  await asyncio.wait(consumers)
 
event_loop = asyncio.get_event_loop()
try:
  result = event_loop.run_until_complete(main(event_loop))
finally:
  event_loop.close()

结果输出如下：

starting manipulate_condition
consumer 2 is waiting
consumer 3 is waiting
consumer 4 is waiting
consumer 1 is waiting
consumer 0 is waiting
notifying 1 consumers
consumer 2 triggered
ending consumer 2
notifying 2 consumers
consumer 3 triggered
ending consumer 3
consumer 4 triggered
ending consumer 4
notifying remaining consumers
ending manipulate_condition
consumer 1 triggered
ending consumer 1
consumer 0 triggered
ending consumer 0

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