Employee Importance: Cache + DFS
Here is a problem (marked as easy) on LC: Employee Importance - LeetCode
You are given a data structure of employee information, which includes the employee's unique id, their importance value and their direct subordinates' id.
For example, employee 1 is the leader of employee 2, and employee 2 is the leader of employee 3. They have importance value 15, 10 and 5, respectively. Then employee 1 has a data structure like [1, 15, [2]], and employee 2 has [2, 10, [3]], and employee 3 has [3, 5, []]. Note that although employee 3 is also a subordinate of employee 1, the relationship is not direct.
Now given the employee information of a company, and an employee id, you need to return the total importance value of this employee and all their subordinates.
Example 1:
Input: [[1, 5, [2, 3]], [2, 3, []], [3, 3, []]], 1 Output: 11 Explanation: Employee 1 has importance value 5, and he has two direct subordinates: employee 2 and employee 3. They both have importance value 3. So the total importance value of employee 1 is 5 + 3 + 3 = 11.
Note:
- One employee has at most one direct leader and may have several subordinates.
- The maximum number of employees won't exceed 2000.
A simple approach would be to:
1/ Create a cache ID --> Employee for quick access
2/ From there, perform a simple DFS to calculate the importance
That's it. Code is below, cheers, ACC.
public int GetImportance(IListemployees, int id) { //Build a hash map for quick access Hashtable cache = new Hashtable(); foreach (Employee e in employees) if (!cache.ContainsKey(e.id)) cache.Add(e.id, e); int retVal = 0; GetImportance(id, cache, ref retVal); return retVal; } public void GetImportance(int id, Hashtable cache, ref int importance) { if (!cache.ContainsKey(id)) return; Employee e = (Employee)cache[id]; importance += e.importance; foreach (int index in e.subordinates) GetImportance(index, cache, ref importance); }
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