Convert binary search tree into doubly linked list. It’s required not to create any new node, but only turning pointers.
The following shows the concept of this question.
8 / 6 0 -> 5 = 6 = 7 = 8 = 9 = 0 = 1 / / 5 7 9 1
First, since node for both binary tree and doubly linked list have left and right node, they can use the same node structure. Then, looking the doubly linked list as a normal linked list, it is actually a in-order depth-first traversal result.
# node structure class Node: def __init__(self, value, left=None, right=None): self.value = value self.left = left self.right = right # what to do with a node. def visit(node): global node_temp global node_root if not node_temp: node_root = node # head else: node_temp.right = node # make right of temp to this node.left = node_temp # make temp to this left node_temp = node # next node # bfs traversal def depth_first_recursive_traversal_in_order(node): if node is None: return depth_first_recursive_traversal_in_order(node.left) visit(node) depth_first_recursive_traversal_in_order(node.right) # a binary tree and display how was it before reflection node_5 = Node(5) node_7 = Node(7) node_9 = Node(9) node_1 = Node(1) node_6 = Node(6, node_5, node_7) node_0 = Node(0, node_9, node_1) node_8 = Node(8, node_6, node_0) # conversion node_root = node_8 node_temp = None depth_first_recursive_traversal_in_order(node_root) # answer should be: 5 6 7 8 9 0 1 node_temp = node_root while node_temp: print node_temp.value, node_temp = node_temp.right
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