FAQ: Heaps: Python - Adding an Element: Heapify Up II

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This community-built FAQ covers the “Adding an Element: Heapify Up II” exercise from the lesson “Heaps: Python”.

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Computer Science

Complex Data Structures

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[byteninja93187]

First assignment is:

Inside of .heapify_up() , declare a variable called idx and set it to the last index of the internal list.

I used the below, but it returned incorrectly and told me to use self.count:

idx = self.heap_list[-1]

Why would this not work?

Edited to reflect that it told me to use self.count

[byteninja93187]

The only reason why I guess this would not work is because the first (and only, after instantiating) element in self.heap_list is “None”, while self.count = 0.

Would you not want to use self.heap_list[-1] because that is “None”?

[patrickd314]

You are to set it to the last index, not the last element of the list.

[picmansmodel]

Hi,
while I was working on the heapify up funktion. I thought it would be great to actually see the tree and get a better understanding of what I’m doing.
Therefore I wrote a tree_update helper function. Maybe it can be some help for others as well.

put the maximum idx and you can call it after and before you add a new element to see the chances.
Or you can integrate it into the add and heapify_up function by calling self.tree_update(len(self.heap_list))

On a side note: The function could be smarter, but I tried to name everything that it hopefully is self explaining. Feel free to chance it and feedback of course is always welcome.

def tree_update(self,idx):
	tree_range = range(1,idx+1)
	level_count = (len(tree_range) % 2) +(int((len(tree_range)/2)-1))
	print("\nThis Binary Tree has {levels} levels.".format(levels=(str(level_count))))
	print("Every parent has max. two children.\n")
	new_tree_list = []
	spaces = int(idx)*2

	i = 1
	while level_count > 0:
		sibbling_list = []
		sibbling_list.append(self.heap_list[i:(i+i)])
		new_tree_list.append(sibbling_list)
		i = (i + i)
		level_count -= 1

	element_count = 1
	level = 1
	for element in new_tree_list:
		print(("Level: ") + (str(level)) + ("/") + (str(element_count)) + " Child max.")
		print((" ")*(int(spaces)) + (str(element)))
		element_count = (element_count) + (element_count)
		level += 1
		spaces = int(spaces)- (element_count)

---

min_heap.heap_list = [None, 10, 13, 21, 61, 22, 23, 99] # = 8 elements in list > max idx = 8
min_heap.tree_update(8)
output:___________________