2683. Neighboring Bitwise XOR

Problem Link

Description

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A 0-indexed array derived with length n is derived by computing the bitwise XOR (⊕) of adjacent values in a binary array original of length n.

Specifically, for each index i in the range [0, n - 1]:

• If i = n - 1, then derived[i] = original[i] ⊕ original[0].
• Otherwise, derived[i] = original[i] ⊕ original[i + 1].

Given an array derived, your task is to determine whether there exists a valid binary array original that could have formed derived.

Return true if such an array exists or false otherwise.

• A binary array is an array containing only 0's and 1's

 

Example 1:

Input: derived = [1,1,0]
Output: true
Explanation: A valid original array that gives derived is [0,1,0].
derived[0] = original[0] ⊕ original[1] = 0 ⊕ 1 = 1 
derived[1] = original[1] ⊕ original[2] = 1 ⊕ 0 = 1
derived[2] = original[2] ⊕ original[0] = 0 ⊕ 0 = 0

Example 2:

Input: derived = [1,1]
Output: true
Explanation: A valid original array that gives derived is [0,1].
derived[0] = original[0] ⊕ original[1] = 1
derived[1] = original[1] ⊕ original[0] = 1

Example 3:

Input: derived = [1,0]
Output: false
Explanation: There is no valid original array that gives derived.

 

Constraints:

• n == derived.length
• 1 <= n <= 105
• The values in derived are either 0's or 1's

Solution

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Python3

class Solution:
    def doesValidArrayExist(self, derived: List[int]) -> bool:
        # d[0] = o[0] ^ o[1]
        # d[1] = o[1] ^ o[2]
        # d[2] = o[2] ^ o[0]
        # XOR of derived must be zero as every number is repeated twice
 
        res = 0
        for x in derived:
            res ^= x
        
        return res == 0