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A - 暗号化リレー / Encryption Relay 解説 by admin

DeepSeek V3

Overview

This problem asks us to find the final output in an XOR encryption relay through N servers, where under a specific condition (sandwich detection), certain servers treat their encryption key as 0.

Analysis

The core of the problem is handling the special rule: “For three consecutive servers i, i+1, i+2, if Ai = A{i+2} and Ai ≠ A{i+1}, then server i+1 uses 0 instead of its key A_{i+1}.”

A naive approach would be to simulate the XOR computation at each server while checking the sandwich condition at each step. However, since this condition for server i+1 depends on the key values of the neighboring servers i and i+2, the condition check can be difficult with simple sequential processing.

An important observation is that the sandwich condition only affects “middle servers” — servers 1 and N (the endpoints) are never affected. Furthermore, the condition check for each server i (where 1 < i < N) only requires examining the key values of its neighbors (i-1 and i+1).

Algorithm

  1. Server 1 always performs XOR computation using key A_0
  2. For servers 2 through N-1, at each server i:
    • Check the condition “A[i-1] == A[i+1] and A[i-1] ≠ A[i]”
    • If the condition is true, XOR with 0; if false, XOR with A[i]
  3. Server N always performs XOR computation using key A[N-1]

In this algorithm, the processing at each server is independent and only references the neighboring key values, allowing for efficient computation.

Complexity

  • Time complexity: \(O(N)\)
    • Since we process all N servers in a single loop
  • Space complexity: \(O(N)\)
    • For storing the key array A in memory

Implementation Notes

  • Boundary condition handling: The case N=1 requires special treatment (since server 1 is the only server and has no neighbors)

  • Array index handling: In Python, arrays are 0-indexed, so server i corresponds to A[i-1]

  • Order of condition checks: First verify the equality of A[i-1] and A[i+1], then verify the inequality of A[i-1] and A[i]

  • Efficiency: Since the processing at each server completes in constant time, the solution can handle large inputs

    Source Code

import sys

def main():
    data = list(map(int, sys.stdin.read().split()))
    if not data:
        return
    
    N = data[0]
    X = data[1]
    A = data[2:2+N]
    
    if N == 1:
        print(X ^ A[0])
        return
        
    result = X
    result ^= A[0]
    
    for i in range(1, N-1):
        if A[i-1] == A[i+1] and A[i-1] != A[i]:
            result ^= 0
        else:
            result ^= A[i]
            
    result ^= A[N-1]
    print(result)

if __name__ == "__main__":
    main()

This editorial was generated by deepseekv3.

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