6. Maximize Efficiency with TikTok

At a cutting-edge TikTok research lab, engineers have developed an algorithm that could transform the way content is created and engage audiences like never before. This algorithm provides a list of efficiency scores, called efficiencyScores, which represents the performance of different TikTok tasks.

The engineers believe that by selecting exactly five tasks from this list and multiplying their efficiency scores, they can unlock the formula for great content. Your mission is to find the combination of five tasks that results in the highest possible product of their efficiency scores.

Example

Input:
efficiencyScores = [6, 1, 2, 8, 1]

Output:
96

Explanation

There are only 5 numbers in the array, we select all of them, and the product is 96.

Function Description

Complete the function maximizeEfficiencyProduct in the editor below.

maximizeEfficiencyProduct has the following parameter:

• int efficiencyScores[n]: the efficiency scores of various tasks

Returns

• long: the highest possible product of any five selected efficiency scores

Constraints

• 5 ≤ n ≤ 10⁵
• -10⁵ ≤ efficiencyScores[i] ≤ 10⁵

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1. TikTok Engagement Heatmap

You are asked to create a heatmap of user engagement over different times of the day for a week, stored in a 2D array engagements, where rows represent days and columns represent hours.

Write a pseudo-code to find the total engagement for the entire week.

The correct answer is:

totalEngagement = 0
for i = 0 to 6:
    for j = 0 to 23:
        totalEngagement = totalEngagement + engagements[i][j]
print(totalEngagement)

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