Python queues queue

Basic FIFO queue: FIFO first.

CALSS Queue.queue (maxsize=0)

MaxSize is an integer that indicates the maximum number of data that can be stored in a queue. Once the upper limit is reached, the insertion causes blocking until the data in the queue is consumed.

#coding: Utf-8import queueq=queue.queue (5) #队列中只能存放5个数据for I in range (5):    q.put (i) and not Q.empty ():    print Q.get ()

LIFO queue: LIFO

Class Queue.lifoqueue (maxsize=0)

#coding: Utf-8import queueq=queue.lifoqueue (5) #队列中只能存放5个数据for I in range (5):    q.put (i) and not Q.empty ():    Print Q.get ()    

Results:

4
3
2
1
0

Priority queue

Class Queue.priorityqueue (maxsize=0)

Import Queueimport Threadingclass Job (object):    def __init__ (self, Priority, description):        self.priority = Priority        self.description = description        print ' Job: ', description        return    def __cmp__ (self, Other):        return CMP (self.priority, other.priority) q = Queue.priorityqueue () q.put (Job (3, ' Level 3 job ')) q.put (Job (10, ' Level Jobs ') q.put (Job (1, ' Level 1 job ')) def process_job (q): When    True:        next_job = Q.get ()        print ' for: ', Next_job.description        q.task_done () workers = [Threading. Thread (Target=process_job, args= (Q,)),        Threading. Thread (Target=process_job, args= (Q,))        ]for W in workers:    W.setdaemon (True) W.start () Q.join (    )

Common methods:

Queue.qsize()

Queue.empty()

Queue.full()

Queue.put(item, block=true, timeout=none)

Queue.put_nowait(item)

Queue.get(block=true, timeout=none)

Queue.get_nowait()

Queue.task_done()

Queue.join()

Producer Consumer Model

Python queues queue