生成器的应用

# def average():
#     sum = 0
#     count = 0
#     avg = 0
#     while True:
#         num = yield avg
#         sum += num    # 10
#         count += 1    # 1
#         avg = sum/count
#
# avg_g = average()
# avg_g.__next__()
# avg1 = avg_g.send(10)
# avg1 = avg_g.send(20)
# print(avg1)

# def init(func):   #装饰器
#     def inner(*args,**kwargs):
#         g = func(*args,**kwargs)    #g = average()
#         g.__next__()
#         return g
#     return inner
#
# @init
# def average():
#     sum = 0
#     count = 0
#     avg = 0
#     while True:
#         num = yield avg
#         sum += num    # 10
#         count += 1    # 1
#         avg = sum/count
#
# avg_g = average()   #===> inner
# ret = avg_g.send(10)
# print(ret)
# ret = avg_g.send(20)
# print(ret)

yield from 功能

#python 3中
# def generator():
#     a = 'abcde'
#     b = '12345'
#     for i in a:
#         yield i
#     for i in b:
#         yield i
# def generator():
#     a = 'abcde'
#     b = '12345'
#     yield from a
#     yield from b
#
# g = generator()
# for i in g:
#     print(i)