
正文
生成器(generator),迭代器(yield)
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g=(i for i in range(10)) #小括号表示生成一个迭代生成器。[]是列表生成器
g.__next__()
yield将一个函数变成生成器
import time
def f():
for i in range(10):
yield i #如果换成return i,则最终只能返回0。
print('aa')
m=f() #m是一个generator
print(m)
print(dir(m))
print(m.__next__())
print(m.__next__())
time.sleep(2)
print(m.__next__())
按字节读取文本:
def rb():
f=open('e:\\a.txt','rb')
while True:
size=6 #每次读取6个字节
block=f.read(size)
if block:
yield block
else:
break
f.close()
rr=rb()
for r in rr:
print r
yield中的next()和send():
def yed():
print "enter fun",
yield 10
yy = yed()
yy.next() #返回"enter fun"
print yy.next() #返回 enter fun 10 def yed():
print "enter fun",
yield 10
print "next1"
yield 20
yy = yed()
yy.next()
yy.next()
# #返回enter fun next1 def yed():
print "enter fun",
yield 10
print "next1"
yield 20
yy = yed()
yy.next()
yy.send('hello') #此处send的参数hello被yield 10接收了,但是并没有进行打印,所以不会被打印
#返回enter fun next1 def yed():
print "enter fun",
y1 = yield 10
print "next1",
print y1
yield 20
yy = yed()
yy.next()
yy.send('hello') #send发送的值会成为当前yield的结果,即yield 10,即y1,并且send的返回结果是下一个yield的结果(相当于了next())
#返回 enter fun next1 hello def yed():
print "enter fun",
y1 = yield 10
print "next1",
print y1
y2 = yield 20 yy = yed()
mn = yy.next() #结果为yield 10的参数,即10
ms = yy.send('hello') #结果为yield 20的参数,即20。hello被y1接收到了 print 'mn: %s, ms: %s' %(mn,ms)
#返回enter fun next1 hello
#mn: 10, ms: 20
第一次调用时,要使用next()语句或是send(None),不能使用send发送一个非None的值,否则会出错的,因为没有yield语句来接收这个值。所以第一次时next() == send(None)
send(msg) 和 next()是有返回值的,它们的返回值很特殊,返回的是下一个yield表达式的参数。比如yield 10,则返回10 。
协同处理数据:http://www.tuicool.com/articles/VBfAzaQ
我们现在利用yield关键字会自动冻结函数堆栈的特性,想象一下,假如现在有两个函数f1()和f2(),各自包含yield语句,见下例。主线程先启动f1(), 当f1()执行到yield的时候,暂时返回。这时主线程可以将执行权交给f2(),执行到f2()的yield后,可以再将执行权交给f1(),从而实现了在同一线程中交错执行f1()和f2()。f1()与f2()就是协同执行的程序,故名协程。
import random #消费生成的数据
def consume():
print 'waiting to consume'
while True:
data = yield
sum_data = sum(data)
print '%s was consumed,the sum is %d ' %(str(data),sum_data) #生成数据
def produce():
print 'begin to produce'
consumer = consume()
consumer.next()
while True:
data = random.sample(range(10),3)
print '%s produced' %(str(data))
consumer.send(data)
yield producer = produce()
for i in range(5):
producer.next() #直接执行produce()里面的代码:在produce里面先生成data,然后再将其发送给consume
可以优化为如下:
import random #消费生成的数据
def consume():
print 'waiting to consume'
while True:
data = yield
sum_data = sum(data)
print '%s was consumed,the sum is %d ' %(str(data),sum_data) #生成数据
def produce(consumer):
print 'begin to produce'
while True:
data = random.sample(range(10),3)
print '%s produced' %(str(data))
consumer.send(data)
yield consumer = consume()
producer = produce(consumer)
consumer.next() #打印waiting to consum for i in range(5):
producer.next() #直接执行produce()里面的代码:在produce里面先生成data,然后再将其发送给consume
返回结果如下:
waiting to consume
begin to produce
[2, 9, 3] produced
[2, 9, 3] was consumed,the sum is 14
[1, 5, 2] produced
[1, 5, 2] was consumed,the sum is 8
[8, 5, 4] produced
[8, 5, 4] was consumed,the sum is 17
[6, 1, 2] produced
[6, 1, 2] was consumed,the sum is 9
[8, 6, 3] produced
[8, 6, 3] was consumed,the sum is 17
异步并发????
from time import sleep,ctime def consumer(name):
print '%s want to consume' % name
while True:
bb = yield
print '%s was consumed by %s' %(bb,name) def producer(pname):
c1=consumer('A')
c2=consumer('B')
c1.next()
c2.next()
print '%s begin to produce' % pname for i in range(5):
sleep(1)
print '%s produce 2' % pname
c1.send(i)
c2.send(i) producer('zhangsan')
返回结果如下:
A want to consume
B want to consume
zhangsan begin to produce
zhangsan produce 2
0 was consumed by A
0 was consumed by B
zhangsan produce 2
1 was consumed by A
1 was consumed by B
zhangsan produce 2
2 was consumed by A
2 was consumed by B
zhangsan produce 2
3 was consumed by A
3 was consumed by B
zhangsan produce 2
4 was consumed by A
4 was consumed by B
继续看这个-2016.5.3 http://my.oschina.net/u/877348/blog/184058







