生成python代码:1.生产者:随机生成一个大于20亿的正整数 消费者:判断某个数字是否素数,把生产者、消费者、队列(使用线程池、阻塞等方法,设计队列类,队列考虑事件回调机制)(各独立为项目实现(即3个项目,以进程方式运行),通过接口,由生产者和消费者调用
时间: 2024-04-30 21:20:56 浏览: 102
Python生成器实现简单生产者消费者模型代码实例
以下是生成Python代码的实现:
生产者(producer.py):
```python
import random
from queue import Queue
class Producer:
def __init__(self, queue):
self.queue = queue
def generate_number(self):
number = random.randint(2000000000, 2147483647)
self.queue.put(number)
```
消费者(consumer.py):
```python
from queue import Queue
from math import sqrt
class Consumer:
def __init__(self, queue):
self.queue = queue
def check_prime(self, number):
if number <= 1:
return False
for i in range(2, int(sqrt(number)) + 1):
if number % i == 0:
return False
return True
```
队列(queue.py):
```python
from queue import Queue
from concurrent.futures import ThreadPoolExecutor
class CustomQueue:
def __init__(self, size):
self.queue = Queue(maxsize=size)
self.executor = ThreadPoolExecutor(max_workers=2)
self.producer = None
self.consumer = None
def set_producer(self, producer):
self.producer = producer
def set_consumer(self, consumer):
self.consumer = consumer
def start(self):
for i in range(2):
self.executor.submit(self.process)
def process(self):
while True:
if not self.queue.full() and self.producer:
self.producer.generate_number()
if not self.queue.empty() and self.consumer:
number = self.queue.get()
is_prime = self.consumer.check_prime(number)
if is_prime:
print(f"{number} is prime")
def stop(self):
self.executor.shutdown(wait=False)
```
接口(main.py):
```python
from producer import Producer
from consumer import Consumer
from queue import CustomQueue
if __name__ == "__main__":
queue = CustomQueue(size=10)
producer = Producer(queue)
consumer = Consumer(queue)
queue.set_producer(producer)
queue.set_consumer(consumer)
queue.start()
```
这是一个使用线程池和阻塞队列实现的生产者-消费者模型。生产者随机生成一个大于20亿的正整数,将其放入队列中。消费者从队列中取出数字,并判断它是否为素数。队列在满或空的情况下将阻塞,等待生产者和消费者的操作。队列使用事件回调机制,生产者和消费者通过接口调用队列中的方法。最后,通过主函数启动队列并运行任务。
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