Post

Tree - Flatten Binary Tree to Linked List

All diagrams presented herein are original creations, meticulously designed to enhance comprehension and recall. Crafting these aids required considerable effort, and I kindly request attribution if this content is reused elsewhere.

Difficulty : Hard

DFS

Problem

Given the root of a binary tree, flatten the tree into a “linked list”:

  • The “linked list” should use the same TreeNode class where the right child pointer points to the next node in the list and the left child pointer is always null.
  • The “linked list” should be in the same order as a pre-order traversal of the binary tree.

Example 1:

addtwonumber1

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Input: root = [1,2,5,3,4,null,6]
Output: [1,null,2,null,3,null,4,null,5,null,6]

Solution

The solution to this problem is not complicated, the code also is just few lines and simple to understand however you still may need to run this few time to fully grasp the idea.

Here is a diagram to start. We are going to use the TreeNode as double linked list and simple set the left pointer to None to flatten it. As per the diagram, we are going to insert the left flatten subtree in between the root and its right sub tree.

image-20240415023105669

The base case is simple, just return None for leaf nodes. Remember is code is inside our dfs() function.

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if not root:
  return None

Now we need to traverse all the way to the left leaf node as the problem statement indicates the ordering should be same as pre-order traversal.

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leftmost_leaf = dfs(root.left)
rightmost_leaf = dfs(root.right)

If the root.left is not None then we need to switch its position in between current root’s right and the root itself.

The leftmost_leaf should already be flatten unless it’s a single leaf node.

Point the end of the leftmost_leaf to the right of the current root

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if root.left: 
  leftmost_leaf.right = root.right

Then, repoint root’s right to its left

The root.left won’t be always same as leftmost_leaf

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  root.right = root.left

Finally, set the root.left to None

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  root.left = None

The last part is very important. Here we will decide what to return. If the rightmost_leaf is not None , mean the root has a right sub-tree. So we want to return the rightmost_leaf of it. Lets review the same diagram here, when we are processing the node 2, we want to return where the right of the node 1 can be connected and thats node 4 which is the rightmost_leaf of node 2.

image-20240415023105669

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if rightmost_leaf:
  return rightmost_leaf

In case the rightmost_leaf is None, say we didn’t have node 4 in the tree. Then we want to return the leftmost_leaf

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elif leftmost_leaf:
  return leftmost_leaf

For the leaf nodes we are going to return the root node itself.

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else:
  return root

Final Code

Here is the full code.

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# class TreeNode:
#     def __init__(self, val=0, left=None, right=None):
#         self.val = val
#         self.left = left
#         self.right = right

def flatten(root):
  def dfs(root):
    if not root:
      return None
    
    leftmost_leaf= dfs(root.left)
    rightmost_leaf= dfs(root.right)
    
    if root.left:
      leftmost_leaf.right= root.right
      root.right = root.left
      root.left = None
      
    # Converting all the if else to one line
    return rightmost_leaf or rightmost_leaf or root
  dfs(root)
    
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