Introduction

In this blog post, we'll share the most commonly asked coding interview questions at Rivian. If you don't have months to study for your interviews, you can use AI tools like Chatmagic to generate solutions quickly and efficiently - helping you pass the interviews and get the job offer!

Problem #1: Flatten Deeply Nested Array

Given a multi-dimensional array arr and a depth n, return a flattened version of that array. A multi-dimensional array is a recursive data structure that contains integers or other multi-dimensional arrays. A flattened array is a version of that array with some or all of the sub-arrays removed and replaced with the actual elements in that sub-array. This flattening operation should only be done if the current depth of nesting is less than n. The depth of the elements in the first array are considered to be 0. Please solve it without the built-in Array.flat method. Example 1: Input arr = [1, 2, 3, [4, 5, 6], [7, 8, [9, 10, 11], 12], [13, 14, 15]] n = 0 Output [1, 2, 3, [4, 5, 6], [7, 8, [9, 10, 11], 12], [13, 14, 15]] Explanation Passing a depth of n=0 will always result in the original array. This is because the smallest possible depth of a subarray (0) is not less than n=0. Thus, no subarray should be flattened. Example 2: Input arr = [1, 2, 3, [4, 5, 6], [7, 8, [9, 10, 11], 12], [13, 14, 15]] n = 1 Output [1, 2, 3, 4, 5, 6, 7, 8, [9, 10, 11], 12, 13, 14, 15] Explanation The subarrays starting with 4, 7, and 13 are all flattened. This is because their depth of 0 is less than 1. However [9, 10, 11] remains unflattened because its depth is 1. Example 3: Input arr = [[1, 2, 3], [4, 5, 6], [7, 8, [9, 10, 11], 12], [13, 14, 15]] n = 2 Output [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] Explanation The maximum depth of any subarray is 1. Thus, all of them are flattened. Constraints: 0 <= count of numbers in arr <= 105 0 <= count of subarrays in arr <= 105 maxDepth <= 1000 -1000 <= each number <= 1000 0 <= n <= 1000

Topics: nan

Problem #2: Rotate String

Given two strings s and goal, return true if and only if s can become goal after some number of shifts on s. A shift on s consists of moving the leftmost character of s to the rightmost position. For example, if s = "abcde", then it will be "bcdea" after one shift. Example 1: Input: s = "abcde", goal = "cdeab" Output: true Example 2: Input: s = "abcde", goal = "abced" Output: false Constraints: 1 <= s.length, goal.length <= 100 s and goal consist of lowercase English letters.

Topics: String, String Matching

Problem #3: Merge k Sorted Lists

You are given an array of k linked-lists lists, each linked-list is sorted in ascending order. Merge all the linked-lists into one sorted linked-list and return it. Example 1: Input: lists = [[1,4,5],[1,3,4],[2,6]] Output: [1,1,2,3,4,4,5,6] Explanation: The linked-lists are: [ 1->4->5, 1->3->4, 2->6 ] merging them into one sorted list: 1->1->2->3->4->4->5->6 Example 2: Input: lists = [] Output: [] Example 3: Input: lists = [[]] Output: [] Constraints: k == lists.length 0 <= k <= 104 0 <= lists[i].length <= 500 -104 <= lists[i][j] <= 104 lists[i] is sorted in ascending order. The sum of lists[i].length will not exceed 104.

Topics: Linked List, Divide and Conquer, Heap (Priority Queue), Merge Sort