Problem Description
Given the root of a rope binary tree where leaf nodes store non‐empty strings and internal nodes are used to “glue” the leaves together with a precomputed total length in a node.len field, return the kth character of the resulting string S[root]. Note that S[node] is formed via a recursive concatentation of its children (or its own value if it is a leaf).
Key Insights
- The rope tree structure lets you locate a particular character without fully constructing the concatenated string.
- For leaf nodes (with no children), simply return the kth character from the node’s string.
- For internal nodes, determine whether k falls in the left subtree or the right subtree by using the length of the left subtree.
- Use recursion: if k is less than or equal to the left subtree’s length, search left; otherwise search right with k adjusted by subtracting the left length.
- Use a helper to correctly obtain the effective length at a node (since leaves have node.len = 0 but the string length is len(node.val)).
Space and Time Complexity
Time Complexity: O(h) in the average case, where h is the height of the tree. In the worst-case (a skewed tree), it is O(n) with n being the number of nodes. Space Complexity: O(h) due to the recursive call stack.
Solution
The solution uses a recursive depth-first search (DFS) to traverse the rope tree. At each internal node, the effective length of the left subtree is determined using the precomputed length (for internal nodes) or the actual string length (for leaves). Depending on the value of k relative to the left subtree's length, we either recursively search in the left or in the right subtree (after adjusting k by subtracting the left-subtree length). For leaf nodes, the kth character is directly returned from the stored string. This approach avoids concatenating the entire string and efficiently finds the desired character.