This is a verified interview question from De-shaw. Candidates reporting seeing this problem in recent Online Assessments (OAs) and onsite rounds. Mastering "getTotalArrays" covers key patterns like DP.
"In a dynamic software development team, the mentor enjoys giving algorithmic challenges to junior developers. One day, the mentor presents the following task: The junior developer is given a list of n tasks. The complexity of the ith task is represented by a positive integer all. The mentor tasks the junior developer to select a sequence of n tasks whose complexities are represented by an array b(l) such that: * For each position i (1 ≤ i ≤ n), the chosen complexity b(i) satisfies: 1 ≤ b(i) ≤ a(i). * No two consecutive tasks have the same complexity: b(i) ≠ b(i+1) for all 1 ≤ i ≤ n-1. The task is to calculate the number of different valid arrays b(l) that meet these conditions. Since the answer may be very large, print it modulo 998244353. ### Example n = 2 a = [2, 3] In this case, possible arrays are [1, 2], [1, 3], [2, 1], and [2, 3]. Hence, the answer is 4. ### Function Description Complete the function getTotalArrays in the editor. getTotalArrays has the following parameter(s): int a[n]: the elements of array a. ### Returns int: the number of different valid arrays b(l), modulo 998244353. ### Constraints * 1 < n < 2*10^5"
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