# Copyright (c) 2013, Mahmoud Hashemi # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are # met: # # * Redistributions of source code must retain the above copyright # notice, this list of conditions and the following disclaimer. # # * Redistributions in binary form must reproduce the above # copyright notice, this list of conditions and the following # disclaimer in the documentation and/or other materials provided # with the distribution. # # * The names of the contributors may not be used to endorse or # promote products derived from this software without specific # prior written permission. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS # "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT # LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR # A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT # OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, # SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT # LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, # DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY # THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT # (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE # OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. """Python comes with a many great data structures, from :class:`dict` to :class:`collections.deque`, and no shortage of serviceable algorithm implementations, from :func:`sorted` to :mod:`bisect`. But priority queues are curiously relegated to an example documented in :mod:`heapq`. Even there, the approach presented is not full-featured and object-oriented. There is a built-in priority queue, :class:`Queue.PriorityQueue`, but in addition to its austere API, it carries the double-edged sword of threadsafety, making it fine for multi-threaded, multi-consumer applications, but high-overhead for cooperative/single-threaded use cases. The ``queueutils`` module currently provides two Queue implementations: :class:`HeapPriorityQueue`, based on a heap, and :class:`SortedPriorityQueue`, based on a sorted list. Both use a unified API based on :class:`BasePriorityQueue` to facilitate testing the slightly different performance characteristics on various application use cases. >>> pq = PriorityQueue() >>> pq.add('low priority task', 0) >>> pq.add('high priority task', 2) >>> pq.add('medium priority task 1', 1) >>> pq.add('medium priority task 2', 1) >>> len(pq) 4 >>> pq.pop() 'high priority task' >>> pq.peek() 'medium priority task 1' >>> len(pq) 3 """ from heapq import heappush, heappop from bisect import insort import itertools try: from .typeutils import make_sentinel _REMOVED = make_sentinel(var_name='_REMOVED') except ImportError: _REMOVED = object() try: from .listutils import BList # see BarrelList docstring for notes except ImportError: BList = list __all__ = ['PriorityQueue', 'BasePriorityQueue', 'HeapPriorityQueue', 'SortedPriorityQueue'] # TODO: make Base a real abstract class # TODO: add uniqueification class BasePriorityQueue: """The abstract base class for the other PriorityQueues in this module. Override the ``_backend_type`` class attribute, as well as the :meth:`_push_entry` and :meth:`_pop_entry` staticmethods for custom subclass behavior. (Don't forget to use :func:`staticmethod`). Args: priority_key (callable): A function that takes *priority* as passed in by :meth:`add` and returns a real number representing the effective priority. """ # negating priority means larger numbers = higher priority _default_priority_key = staticmethod(lambda p: -float(p or 0)) _backend_type = list def __init__(self, **kw): self._pq = self._backend_type() self._entry_map = {} self._counter = itertools.count() self._get_priority = kw.pop('priority_key', self._default_priority_key) if kw: raise TypeError('unexpected keyword arguments: %r' % kw.keys()) @staticmethod def _push_entry(backend, entry): pass # abstract @staticmethod def _pop_entry(backend): pass # abstract def add(self, task, priority=None): """ Add a task to the queue, or change the *task*'s priority if *task* is already in the queue. *task* can be any hashable object, and *priority* defaults to ``0``. Higher values representing higher priority, but this behavior can be controlled by setting *priority_key* in the constructor. """ priority = self._get_priority(priority) if task in self._entry_map: self.remove(task) count = next(self._counter) entry = [priority, count, task] self._entry_map[task] = entry self._push_entry(self._pq, entry) def remove(self, task): """Remove a task from the priority queue. Raises :exc:`KeyError` if the *task* is absent. """ entry = self._entry_map.pop(task) entry[-1] = _REMOVED def _cull(self, raise_exc=True): "Remove entries marked as removed by previous :meth:`remove` calls." while self._pq: priority, count, task = self._pq[0] if task is _REMOVED: self._pop_entry(self._pq) continue return if raise_exc: raise IndexError('empty priority queue') def peek(self, default=_REMOVED): """Read the next value in the queue without removing it. Returns *default* on an empty queue, or raises :exc:`KeyError` if *default* is not set. """ try: self._cull() _, _, task = self._pq[0] except IndexError: if default is not _REMOVED: return default raise IndexError('peek on empty queue') return task def pop(self, default=_REMOVED): """Remove and return the next value in the queue. Returns *default* on an empty queue, or raises :exc:`KeyError` if *default* is not set. """ try: self._cull() _, _, task = self._pop_entry(self._pq) del self._entry_map[task] except IndexError: if default is not _REMOVED: return default raise IndexError('pop on empty queue') return task def __len__(self): "Return the number of tasks in the queue." return len(self._entry_map) class HeapPriorityQueue(BasePriorityQueue): """A priority queue inherited from :class:`BasePriorityQueue`, backed by a list and based on the :func:`heapq.heappop` and :func:`heapq.heappush` functions in the built-in :mod:`heapq` module. """ @staticmethod def _pop_entry(backend): return heappop(backend) @staticmethod def _push_entry(backend, entry): heappush(backend, entry) class SortedPriorityQueue(BasePriorityQueue): """A priority queue inherited from :class:`BasePriorityQueue`, based on the :func:`bisect.insort` approach for in-order insertion into a sorted list. """ _backend_type = BList @staticmethod def _pop_entry(backend): return backend.pop(0) @staticmethod def _push_entry(backend, entry): insort(backend, entry) PriorityQueue = SortedPriorityQueue