标签:唤醒 func print font while ret bsp time 消费
列表生成器:
[ i*2 for i in range(10) ]这不是是生成器
[ func(i) for i in range(10) ]
( i*2 for i in range(10) ) 这就是生成器
一个算法,一个函数,可以边循环边生成数据,为了省空间,只有调用才会生成相应的数据。
只有__next()__方法
也可以用函数做个生成器
def fib(max):
n,a,b = 0,0,1
while n < max:
print(b)
a,b = b,a+b
n = n + 1
return ‘done‘
fib(10)
def fib(max):
n,a,b = 0,0,1
while n < max:
yield(b)
a,b = b,a+b
n = n + 1
return ‘done‘
print(fib(10))
fib_gen = fib(100)
print(fib_gen.__next__())
print(fib_gen.__next__())
print(fib_gen.__next__())
异常的捕获
def fib(max):
n,a,b = 0,0,1
while n < max:
yield(b)
a,b = b,a+b
n = n + 1
return ‘done‘
print(fib(10))
fib_gen = fib(10)
print(fib_gen.__next__())
print(fib_gen.__next__())
print(fib_gen.__next__())
print(fib_gen.__next__())
print(fib_gen.__next__())
print(fib_gen.__next__())
print(fib_gen.__next__())
print(fib_gen.__next__())
print(fib_gen.__next__())
while True:
try:
print(fib_gen.__next__())
except StopIteration as e:
print("Generator return value:",e.value)
break
也可以这样
def fib(max):
n,a,b = 0,0,1
while n < max:
yield(b)
a,b = b,a+b
n = n + 1
return ‘done‘
print(fib(10))
fib_gen = fib(10)
while True:
try:
print(fib_gen.__next__())
except StopIteration as e:
print("Generator return value:",e.value)
break
生产者与消费者
import time
def consumer(name):
print("%s准备吃包子"%name)
while True:
baozi = yield
print("包子[%s]来了,被[%s]吃了!"%(baozi,name))
c = consumer("Roger")
c.__next__();
baozi = "肉包子"
c.send(baozi)
send唤醒generator且给yield发送指
__next()只是唤醒generator,走到yield处,中断,返回
继续
import time
def consumer(name):
print("%s准备吃包子"%name)
while True:
baozi = yield
print("包子[%s]来了,被[%s]吃了!"%(baozi,name))
c = consumer("Roger")
c.__next__();
baozi = "肉包子"
c.send(baozi)
def producer(name):
c = consumer(‘A‘)
c2 = consumer(‘B‘)
c.__next__()
c2.__next__()
print("我开始准备做包子啦")
for i in range(10):
time.sleep(1)
print("做了2个包子")
c.send(i)
c2.send(i)
producer("alex")
生成器可以实现,单线程下的并行效果
携程
标签:唤醒 func print font while ret bsp time 消费
原文地址:https://www.cnblogs.com/wherewhenwho/p/9034488.html