Sync-up Queue.py with Py2.6

This commit is contained in:
Raymond Hettinger 2008-01-17 00:13:27 +00:00
parent bae82b8ae5
commit 35641461db
2 changed files with 66 additions and 9 deletions

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@ -6,23 +6,46 @@
:synopsis: A synchronized queue class.
The :mod:`Queue` module implements a multi-producer, multi-consumer FIFO queue.
The :mod:`Queue` module implements multi-producer, multi-consumer queues.
It is especially useful in threaded programming when information must be
exchanged safely between multiple threads. The :class:`Queue` class in this
module implements all the required locking semantics. It depends on the
availability of thread support in Python; see the :mod:`threading`
module.
The :mod:`Queue` module defines the following class and exception:
Implements three types of queue whose only difference is the order that
the entries are retrieved. In a FIFO queue, the first tasks added are
the first retrieved. In a LIFO queue, the most recently added entry is
the first retrieved (operating like a stack). With a priority queue,
the entries are kept sorted (using the :mod:`heapq` module) and the
lowest valued entry is retrieved first.
The :mod:`Queue` module defines the following classes and exceptions:
.. class:: Queue(maxsize)
Constructor for the class. *maxsize* is an integer that sets the upperbound
Constructor for a FIFO queue. *maxsize* is an integer that sets the upperbound
limit on the number of items that can be placed in the queue. Insertion will
block once this size has been reached, until queue items are consumed. If
*maxsize* is less than or equal to zero, the queue size is infinite.
.. class:: LifoQueue(maxsize)
Constructor for a LIFO queue. *maxsize* is an integer that sets the upperbound
limit on the number of items that can be placed in the queue. Insertion will
block once this size has been reached, until queue items are consumed. If
*maxsize* is less than or equal to zero, the queue size is infinite.
.. class:: PriorityQueue(maxsize)
Constructor for a priority queue. *maxsize* is an integer that sets the upperbound
limit on the number of items that can be placed in the queue. Insertion will
block once this size has been reached, until queue items are consumed. If
*maxsize* is less than or equal to zero, the queue size is infinite.
The lowest valued entries are retrieved first (the lowest valued entry is the
one returned by ``sorted(list(entries))[0]``). A typical pattern for entries
is a tuple in the form: ``(priority_number, data)``.
.. exception:: Empty
@ -41,10 +64,8 @@ The :mod:`Queue` module defines the following class and exception:
Queue Objects
-------------
Class :class:`Queue` implements queue objects and has the methods described
below. This class can be derived from in order to implement other queue
organizations (e.g. stack) but the inheritable interface is not described here.
See the source code for details. The public methods are:
Queue objects (:class:``Queue``, :class:``LifoQueue``, or :class:``PriorityQueue``
provide the public methods described below.
.. method:: Queue.qsize()

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@ -2,8 +2,9 @@
from time import time as _time
from collections import deque
import heapq
__all__ = ['Empty', 'Full', 'Queue']
__all__ = ['Empty', 'Full', 'Queue', 'PriorityQueue', 'LifoQueue']
class Empty(Exception):
"Exception raised by Queue.get(block=0)/get_nowait()."
@ -182,7 +183,7 @@ class Queue:
def _init(self, maxsize):
self.queue = deque()
def _qsize(self):
def _qsize(self, len=len):
return len(self.queue)
# Put a new item in the queue
@ -192,3 +193,38 @@ class Queue:
# Get an item from the queue
def _get(self):
return self.queue.popleft()
class PriorityQueue(Queue):
'''Variant of Queue that retrieves open entries in priority order (lowest first).
Entries are typically tuples of the form: (priority number, data).
'''
def _init(self, maxsize):
self.queue = []
def _qsize(self, len=len):
return len(self.queue)
def _put(self, item, heappush=heapq.heappush):
heappush(self.queue, item)
def _get(self, heappop=heapq.heappop):
return heappop(self.queue)
class LifoQueue(Queue):
'''Variant of Queue that retrieves most recently added entries first.'''
def _init(self, maxsize):
self.queue = []
def _qsize(self, len=len):
return len(self.queue)
def _put(self, item):
self.queue.append(item)
def _get(self):
return self.queue.pop()