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Consider the optimized recursive solution for building a tree from inorder and postorder traversals. Given inorder = [1] and postorder = [1], what is the structure of the constructed tree?

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Tree: Depth-First Search - Construct Tree from Inorder and Postorder
Consider the optimized recursive solution for building a tree from inorder and postorder traversals. Given inorder = [1] and postorder = [1], what is the structure of the constructed tree?
AA tree with root 1 and both left and right children as None
BA tree with root 1 and a left child 1
CA tree with root 1 and a right child 1
DAn empty tree (None)
Step-by-Step Solution
Solution:
  1. Step 1: Base case with single element arrays

    in_left == in_right == 0, post_left == post_right == 0, root_val = 1.
  2. Step 2: Recursive calls for left and right subtrees

    Left subtree: in_left=0, in_right=-1 -> None; Right subtree: in_left=1, in_right=0 -> None.
  3. Final Answer:

    Option A -> Option A
  4. Quick Check:

    Single node tree with no children [OK]
Quick Trick: Single element arrays produce single node tree [OK]
Common Mistakes:
MISTAKES
  • Assuming extra children exist
  • Returning None incorrectly
Trap Explanation:
PITFALL
  • Candidates sometimes add children incorrectly or return None for single node.
Interviewer Note:
CONTEXT
  • Tests handling of minimal edge case input in recursion.
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