函数体内含有yield关键字,那该函数的执行结果是生成器对象
生成器对象的本质就是迭代器,所以yield的功能是
1.把函数的执行结果做成迭代器
2.可以返回多次值,而return只能返回一次值
3.可以挂起函数的执行
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yield语句形式 yield 1
yield的表达式形式 x=yield
next(g)
g.send('xxx')
示例
def deco(func):
def wrapper(*args,**kwargs):
res=func(*args,**kwargs)
next(res)
return res
return wrapper
@deco
def eater(name):
print('%s ready to eat' %name)
food_list=[]
while True:
food=yield food_list
food_list.append(food)
print('%s start to eat %s' %(name,food))
g=eater('alex')
# print(g)
# next(g) #等同于 g.send(None)
print(g.send('脚趾头1'))
print(g.send('脚趾头2'))
print(g.send('脚趾头3'))
#x=yield
#g.send('1111'),先把1111传给yield,由yield赋值给x
# 然后再往下执行,直到再次碰到yield,然后把yield后的返回值返回
grep应用
import os
def init(func):
def wrapper(*args,**kwargs):
res=func(*args,**kwargs)
next(res)
return res
return wrapper
@init
def search(target):
while True:
search_path=yield
g=os.walk(search_path)
for par_dir,_,files in g:
for file in files:
file_abs_path=r'%s\%s' %(par_dir,file)
# print(file_abs_path)
target.send(file_abs_path)
@init
def opener(target):
while True:
file_abs_path=yield
# print('opener func==>',file_abs_path)
with open(file_abs_path,encoding='utf-8') as f:
target.send((file_abs_path,f))
@init
def cat(target):
while True:
file_abs_path,f=yield #(file_abs_path,f)
for line in f:
tag=target.send((file_abs_path,line))
if tag:
break
@init
def grep(target,pattern):
tag=False
while True:
file_abs_path,line=yield tag
tag=False
if pattern in line:
tag=True
target.send(file_abs_path)
@init
def printer():
while True:
file_abs_path=yield
print(file_abs_path)
x=r'C:\Users\Administrator\PycharmProjects\python17期\day5\a'
g=search(opener(cat(grep(printer(),'python'))))
print(g)
g.send(x)
面向过程的程序设计:是一种流水线式的编程思路,是机械式
优点:
程序的结构清晰,可以把复杂的问题简单
缺点:
1 扩展性差
应用场景:
1 linux内核,git,httpd