Learn

We’ve got a handy helper to tell us which child element is smaller, so there’s nothing standing between us and a pristine heap.

As a reminder, our strategy will be very similar to .heapify_up(), but we’ll be moving down the tree. Here’s the general shape of the method:

 # starting with our first element...
 # while there's at least one child present:
   # get the smallest child's index
   # compare the smallest child with our element
     # if our element is larger, swap with child
   # regardless, set our element index to be the child

We’ve added another helper method for you: .child_present(). This returns a boolean indicating whether a given index has an associated child element. Use it wisely…

Instructions

1.

Inside of .heapify_down(), open up a while loop after your idx declaration.

The loop should run as long as idx has a child element. Use the new helper method: .child_present().

Print “Heapifying down!” within the loop.

2.

Inside the loop, declare the variable smaller_child_idx and set it equal to the appropriate value.

3.

Declare two variables: child and parent, set to the appropriate element from the internal list using smaller_child_idx and idx.

4.

Check if parent is greater than child. If it is, we’ll need to make a swap.

5.

Finish the loop by setting idx equal to smaller_child_idx. This is how we’ll terminate the loop, by moving down through the “tree” until there are no “child” elements to consider.

Outside the loop, print “Heap Restored! self.heap_list“.

Tab over to script.py and test it out.

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