Clean-up and improve the priority queue example in the heapq docs.
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@ -173,36 +173,36 @@ changes to its priority or removing it entirely. Finding a task can be done
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with a dictionary pointing to an entry in the queue.
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Removing the entry or changing its priority is more difficult because it would
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break the heap structure invariants. So, a possible solution is to mark an
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entry as invalid and optionally add a new entry with the revised priority::
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break the heap structure invariants. So, a possible solution is to mark the
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entry as removed and add a new entry with the revised priority::
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pq = [] # the priority queue list
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counter = itertools.count(1) # unique sequence count
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task_finder = {} # mapping of tasks to entries
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INVALID = 0 # mark an entry as deleted
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pq = [] # list of entries arranged in a heap
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entry_finder = {} # mapping of tasks to entries
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REMOVED = '<removed-task>' # placeholder for a removed task
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counter = itertools.count() # unique sequence count
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def add_task(priority, task, count=None):
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if count is None:
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def add_task(task, priority=0):
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'Add a new task or update the priority of an existing task'
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if task in entry_finder:
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remove_task(task)
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count = next(counter)
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entry = [priority, count, task]
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task_finder[task] = entry
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entry_finder[task] = entry
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heappush(pq, entry)
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def get_top_priority():
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while True:
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def remove_task(task):
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'Mark an existing task as REMOVED. Raise KeyError if not found.'
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entry = entry_finder.pop(task)
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entry[-1] = REMOVED
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def pop_task():
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'Remove and return the lowest priority task. Raise KeyError if empty.'
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while pq:
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priority, count, task = heappop(pq)
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if count is not INVALID:
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del task_finder[task]
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if task is not REMOVED:
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del entry_finder[task]
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return task
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def delete_task(task):
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entry = task_finder[task]
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entry[1] = INVALID
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def reprioritize(priority, task):
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entry = task_finder[task]
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add_task(priority, task, entry[1])
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entry[1] = INVALID
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raise KeyError('pop from an empty priority queue')
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Theory
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