Write a function second_largest() that takes a B Binary Search Tree (BST) as input and finds the second largest value in the given BST. You may assume that the BST has at least two nodes, and that all of the node values are distinct.

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1. Second Largest
Problem
Write a function second_largest() that takes a B
Binary Search Tree (BST) as input and finds the second
largest value in the given BST. You may assume that
the BST has at least two nodes, and that all of the
node values are distinct.
Sample
>>> nodes = [68, 88, 61, 89, 94, 50, 4,
76, 66, 82]
>>> second_largest(bst)
'2nd largest element is 89'
Transcribed Image Text:1. Second Largest Problem Write a function second_largest() that takes a B Binary Search Tree (BST) as input and finds the second largest value in the given BST. You may assume that the BST has at least two nodes, and that all of the node values are distinct. Sample >>> nodes = [68, 88, 61, 89, 94, 50, 4, 76, 66, 82] >>> second_largest(bst) '2nd largest element is 89'
def insert(bst , key):
if bst == {}:
bst['value'] = key
= {}
bst['left']
bst['right']= {}
elif bst['value'] < key:
insert(bst['right'],key)
elif bst['value'] > key:
insert(bst['left'],key)
v nodes = eval(input())
bst = {}
for n in nodes:
insert(bst , n)
second largest (bst)
Transcribed Image Text:def insert(bst , key): if bst == {}: bst['value'] = key = {} bst['left'] bst['right']= {} elif bst['value'] < key: insert(bst['right'],key) elif bst['value'] > key: insert(bst['left'],key) v nodes = eval(input()) bst = {} for n in nodes: insert(bst , n) second largest (bst)
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