The Reveal Cards In Increasing Order interview question gives you an integer array representing a deck of cards. You simulate a reveal process: deal the top card (reveal it), move the next top card to the bottom of the deck, and repeat until all cards are revealed. Given this process, find the initial arrangement of the deck such that the cards are revealed in increasing order.
This problem is asked at Apple, Microsoft, Amazon, Google, and Bloomberg because it requires reverse engineering a simulation — working backwards from the desired output. It tests understanding of queue operations (the reveal-and-requeue process) and simulation-in-reverse thinking. It is an excellent example of how sorting combined with queue simulation can replace complex mathematical derivation.
The pattern is simulation in reverse with a queue. Sort the deck in decreasing order. Maintain a queue of indices [0, 1, 2, ..., n-1] (representing positions in the result array). For each card (from largest to smallest): assign the card to the front index of the queue, pop the front, and then move the new front to the back (simulating the reverse of the "move to bottom" step). Fill the result array at each popped index.
Alternatively, simulate forward: use a queue of indices, sort the card values, and assign them in order to the positions produced by the simulation.
Deck: [17, 13, 11, 2, 3, 5, 7]. Sorted ascending: [2, 3, 5, 7, 11, 13, 17].
Queue of indices: [0,1,2,3,4,5,6].
Assign cards in order:
Result at indices 0–6: [2,13,3,11,5,17,7].
For the Reveal Cards In Increasing Order coding problem, the array, sorting, queue, and simulation interview pattern is the approach. Use Python's collections.deque for efficient front-pop operations. Interviewers at Apple and Google appreciate when you explain the simulation clearly — "sort values, simulate the index queue" — before coding. Practice tracing through a 4-card example manually to solidify the queue mechanics.
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