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:- 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.
'#' - 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.'#' - 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.
'#' - Final Check :
-
At the end of the process, a valid serialization should reduce to exactly one
in the stack.
'#' - 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.
- 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.
'#' - 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.
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) == '#'