Verify Preorder Serialization Of A Binary Tree

To solve this coding challenge, we need to determine if a given preorder serialization of a binary tree is valid. Preorder serialization involves recording the value of nodes as we traverse the tree in preorder (root, left, right), using a sentinel value (typically
'#'
) for null nodes.

Explanation

In order to check the validity of the provided preorder serialization string, we need a way to simulate the process of constructing the tree without actually reconstructing it. We can utilize a stack to keep track of the nodes we have encountered. Here are the detailed steps and explanation of the approach:
  1. Understanding Preorder Serialization :
    • When visiting a node in a binary tree using preorder traversal, we first visit the root, then recursively the left subtree, and finally the right subtree.
    • Null nodes in the binary tree are represented using
      '#'
      in the serialization.
  2. Using a Stack for Validation :
    • We utilize a stack to keep track of nodes as we process the elements of the serialized string.
    • The idea is to recognize a complete subtree when we encounter two
      '#'
      values in the stack followed by a non-
      '#'
      value. This represents two null children of a node, thereby indicating a leaf node and its completed traversal.
  3. Processing the Serialization String :
    • Split the input string by commas to process each node value or
      '#'
      .
    • Iterate through the split values, and for each value:
      • Append it to the stack.
      • Continuously check if the top of the stack contains a pattern indicating a complete subtree (
        node, '#', '#'
        ).
      • If such a pattern is found, pop the elements and replace them with a single
        '#'
        to represent the completed subtree.
  4. Final Check :
    • At the end of the process, a valid serialization should reduce to exactly one
      '#'
      in the stack.
    Here's the pseudocode with comments for clarity:
                                                
    Function isValidSerialization(preorder):
    # Split the preorder string by commas to process each node and null marker
    nodes = split(preorder, ",")
    # Initialize an empty stack to assist with the validation process
    stack = []
    
    # Iterate over each node in the split preorder list
    for node in nodes:
    # Append the current node or null marker to the stack
    append(stack, node)
    
    # Continuously check for the pattern that indicates a complete subtree
    While length(stack) >= 3 AND top(stack) == '#' AND secondToTop(stack) == '#' AND thirdToTop(stack) != '#':
    # Remove the complete subtree pattern from the stack
    pop(stack)  # Removes the top '#'
    pop(stack)  # Removes the second '#'
    pop(stack)  # Removes the non-'#' node
    # Append a single '#' to represent the completed subtree
    append(stack, '#')
    
    # After processing all nodes, a valid serialization will have one '#' in the stack
    Return length(stack) == 1 AND top(stack) == '#'
    
                                            

    Step-by-Step Explanation:

  5. Initialization :
    • We start by splitting the preorder string into a list of nodes for easier processing.
    • Initialize an empty stack to keep track of nodes as we parse through the list.
  6. Processing Each Node :
    • Iterate through each element in the nodes list:
      • Append the current node or
        '#'
        to the stack.
      • Check if the last three elements in the stack form the pattern of a complete subtree (
        node, '#', '#'
        ).
      • If the pattern is detected, remove these three elements from the stack and replace them with a single
        '#'
        to signify the completed subtree.
  7. Final Verification :
    • After all nodes have been processed, check if the stack has been reduced to a single
      '#'
      .
    • If it is, the serialization is valid; otherwise, it is not.
Using this approach ensures we can validate the serialization string efficiently without reconstructing the binary tree. The stack-based approach helps in identifying the completeness of subtrees dynamically, adhering to the properties of tree traversal and serialization.