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Question 1: Maximizing Efficiency Product

Description:

Given a list of efficiency scores, implement a function to calculate the maximum possible product by choosing five scores from the list. You may select any combination of the top five scores or mix with the lowest values, aiming to maximize the product.

Input:

• efficiencyScores (List[int]): List of integer efficiency scores.

Output:

• Returns an integer representing the maximum product obtainable with five chosen scores.

Code Example:

def maximizeEfficiencyProduct(efficiencyScores):
    efficiencyScores.sort()
    res = 1
    for i in range(5):
        res = res * efficiencyScores[-1-i]
    for i in range(6):
        cur = 1
        for ii in range(i):
            cur = cur * efficiencyScores[ii]
        for ii in range(5-i):
            cur = cur * efficiencyScores[-1-ii]
        res = max(res, cur)
    return res

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Question 2: Getting Secondary Influencer Sum

Description:

Given a social network represented as an undirected graph, calculate the sum of all nodes that are secondarily influential. A node is secondarily influential if it has significant influence on the network, but it is not the most influential node.

This function calculates the maximum depth from a given root and computes the sum of nodes that meet the secondary influence criteria.

Input:

• g_nodes (int): Number of nodes in the graph.
• g_from, g_to (List[int]): Lists representing edges between nodes in the graph.

Output:

• Returns an integer sum of secondary influencer nodes.

Code Example:

def getSecondaryInfluencerSum(g_nodes, g_from, g_to):
    root = 1
    g = {}
    mxd = {}
    for u, v in zip(g_from, g_to):
        if u not in g:
            g[u] = set()
        if v not in g:
            g[v] = set()
        g[u].add(v)
        g[v].add(u)
    mx = maxD(g, 1, 0, mxd)[0]
    return secondMaxD(g, 1, 0, 0, mx, mxd)

---

Question 3: Sorting Social Media Feed

Description:

Given a social media feed represented as a list of strings, each with an ID and timestamp, implement a function to sort the feed based on timestamp, and then by ID in case of ties.

Input:

• feed (List[str]): A list of strings where each entry represents a post ID and timestamp separated by a comma.

Output:

• Returns a sorted list based on timestamp and then ID.

Code Example:

def sortSocialMediaFeed(feed):
    feed.sort(key=lambda x: (x.split(',')[1], int(x.split(',')[0])))
    return feed