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You are given an integer array prices where prices[i] is the price of the ith item in a shop.

There is a special discount for items in the shop. If you buy the ith item, then you will receive a discount equivalent to prices[j] where j is the minimum index such that j > i and prices[j] <= prices[i]. Otherwise, you will not receive any discount at all.

Return an integer array answer where answer[i] is the final price you will pay for the ith item of the shop, considering the special discount.

Example 1:

Input: prices = [8,4,6,2,3] Output: [4,2,4,2,3] Explanation: For item 0 with price[0]=8 you will receive a discount equivalent to prices[1]=4, therefore, the final price you will pay is 8 - 4 = 4. For item 1 with price[1]=4 you will receive a discount equivalent to prices[3]=2, therefore, the final price you will pay is 4 - 2 = 2. For item 2 with price[2]=6 you will receive a discount equivalent to prices[3]=2, therefore, the final price you will pay is 6 - 2 = 4. For items 3 and 4 you will not receive any discount at all. Example 2:

Input: prices = [1,2,3,4,5] Output: [1,2,3,4,5] Explanation: In this case, for all items, you will not receive any discount at all. Example 3:

Input: prices = [10,1,1,6] Output: [9,0,1,6]

Constraints:

1 <= prices.length <= 500 1 <= prices[i] <= 1000

/**
 * @param {number[]} prices
 * @return {number[]}
 */
var finalPrices = function (prices) {
  const stack = [];

  for (let i = 0; i < prices.length; i++) {
    while (stack.length && prices[i] <= prices[stack[stack.length - 1]]) {
      const index = stack.pop();
      const diff = prices[index] - prices[i];
      prices[index] = diff;
    }
    stack.push(i);
  }

  return prices;
};

The time complexity of this code is O(n) because it iterates through the prices array once with a single loop. The space complexity is O(n) because the stack can potentially hold all elements of the prices array, depending on the input.

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