# Since delete_max calls pop to remove an item, we need to append a dummy value to avoid an illegal index. Post: Heap property is satisfied for entire heap. ''' Pre: Self.heap has values in 1 to self.heap_size Post: Item is inserted in proper location in heap.''' Post: Maximum element in heap is removed and returned. Post: Heap Property is satisfied for the entire heap.''' '''Pre: Items from 0 to position - 1 satisfy the Heap property. '''Post: Returns the number of items in the heap.''' '''Post: A heap is created with specified items.''' Please I have been stuck on this for awhile and really need some help. Could anyone help me on how to make a working Priority Queue class? I have the basic function names written down but I have no idea on where to go from there. I tried looking up help on the internet but I keep getting answers with people using either the "queue" or "heapq" python implementation. However, I need help on the Priority Queue part of my code. That’s it for this tutorial.I have made a heap class and I am trying to make a PriorityQueue class as well so both of them can work together. The heapify command will track the min according to the first element of the tuple which is why the first element of the tuple is the number of hits. You will need to heapify a list of tuples where each tuple should look like (number of hits, songid, name of the song). Try solving the music player problem discussed in the introduction. Priority Queues are widely used in different fields such as Artificial Intelligence, Statistics, Operating systems and in graphs. You can explore these on your own! Applications The above-mentioned commands are the main ones you will use when dealing with heaps but there are also other general commands like merge(), nlargest() and nsmallest(). heapq.heapreplace(heap, item) -the above issue can be solved by executing this operation as it returns the smallest element and then adds the new element.Heapq.heappushpop(h,0) #returns 0 print(h) #prints If you try the above command with a number smaller than the min value of heap, you will notice that the same element gets popped. This single command is much more efficient than a heappush() command followed by heappop() command. ![]()
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