The "Count Paths That Can Form a Palindrome in a Tree interview question" is a high-level algorithmic challenge combining graph theory and bitwise logic. You are given a tree where each edge has a character label ('a'-'z'). Your task is to count the number of paths such that the characters on the path can be rearranged to form a palindrome. A set of characters can form a palindrome if and only if at most one character appears an odd number of times.
Companies like Uber and TikTok use the "Count Paths That Can Form a Palindrome in a Tree coding problem" to test a candidate's ability to simplify path-based constraints. It requires the insight that the path between and can be represented using their paths to the root. It evaluates knowledge of "Bit Manipulation interview pattern" (specifically bitmasks for parity) and "Depth-First Search" optimization.
This problem follows the Bitmask Parity and Path-to-Root pattern.
mask(u) ^ mask(v). This works because XORing with the root path removes the common ancestor path (since ).mask(u) ^ mask(v) is either 0 or has exactly one bit set.mask(root, node) for every node.Edge labels: (0-1: 'a', 0-2: 'b')
mask(0) = 0mask(1) = 1 (binary ...001)mask(2) = 2 (binary ...010)
Check paths:mask(0)^mask(1) = 1. Palindrome OK.mask(0)^mask(2) = 2. Palindrome OK.mask(1)^mask(2) = 3 (binary ...011). Two characters ('a' and 'b') appear once. Not a palindrome.
Result: 2 valid paths.Whenever a problem mentions "rearranging to form a palindrome," immediately think of parity bitmasks. For trees, remember the "root-path" XOR trick to find path properties in after a single DFS traversal.