Python---Basics review (10) Processes and threads (custom thread pool, context Manager, and use of the association)

Foreplay: Understand the next queue queues before you make a custom thread pool

The queue can hold the underlying data type, or it can hold special data types such as classes, objects, etc.

 fromQueue Import Queueclasst:def __init__ (self,num): Self.num=num def printf (self): print (Self.num,id (self.num))if__name__ = ="__main__": Queue= Queue (0) Num= A queue.put (num) #可以存放基础数据类型t=T (num) queue.put (t) #可以存放对象CLS=T queue.put (CLS) #可以存放类DT= Queue.Get() print (ID (dt), dt,type (DT)) #1385649280  A<class 'int'>DT= Queue.Get() print (ID (dt), dt,type (DT)) #7652128<__main__. TObjectAt0x000000000074c320> <class '__main__. T'>DT= Queue.Get() print (ID (dt), dt,type (DT)) #18042264<class '__main__. T'> <class 'type'>

The functions that the thread pool should have:

1. Create a thread pool first,
2. And then to get the data, if you have to take it directly,
3. If not, you need to block the wait until there is data to arrive
4. The thread pool can set the specified size
5. To meet the above "blocking" requirements, set the size of the data structure, we can use the queue

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Python---Basics review (10) Processes and threads (custom thread pool, context Manager, and use of the association)