class Node:
def __init__(self, value):
self.value = value
self.left = None
self.right = None
class BinaryTree:
def __init__(self):
self.root = None
def insert(self, value):
if self.root is None:
self.root = Node(value)
else:
self._insert(value, self.root)
def _insert(self, value, node):
if value < node.value:
if node.left is None:
node.left = Node(value)
else:
self._insert(value, node.left)
else:
if node.right is None:
node.right = Node(value)
else:
self._insert(value, node.right)
def nth_node_inorder(self, n):
if self.root is None:
return None
count = [0]
return self._nth_node_inorder(self.root, n, count)
def _nth_node_inorder(self, node, n, count):
if node is None:
return None
left = self._nth_node_inorder(node.left, n, count)
if left is not None:
return left
count[0] += 1
if count[0] == n:
return node
right = self._nth_node_inorder(node.right, n, count)
if right is not None:
return right
return None
# Example usage
tree = BinaryTree()
tree.insert(5)
tree.insert(3)
tree.insert(7)
tree.insert(1)
tree.insert(4)
tree.insert(6)
tree.insert(8)
n = 4
nth_node = tree.nth_node_inorder(n)
if nth_node is not None:
print("The", n, "th node of the inorder traversal is:", nth_node.value)
else:
print("The tree has fewer than", n, "nodes.")
The 4 th node of the inorder traversal is: 5
BinaryTree
` class are the same as in the previous examples. The new method `nth_node_inorder(n)
` finds the nth node of the inorder traversal of the binary search tree, where `n
` is a positive integer. It initializes a counter `count
` to zero and calls the helper method `_nth_node_inorder(node, n, count)
`, which performs a recursive inorder traversal of the binary search tree. n
`. If the counter is equal to `n
`, the node is returned as the nth node of the inorder traversal. Otherwise, the method continues the traversal.nth_node_inorder(n)
` to find the nth node of the inorder traversal of the tree. n
` is set to 4 in this example. If the nth node exists, its value is printed, otherwise a message is printed indicating that the tree has fewer than `n
` nodes.