Description
https://leetcode.com/problems/employee-importance/
You have a data structure of employee information, which includes the employee’s unique id, their importance value, and their direct subordinates’ id.
You are given an array of employees employees where:
employees[i].idis the ID of theithemployee.employees[i].importanceis the importance value of theithemployee.employees[i].subordinatesis a list of the IDs of the subordinates of theithemployee.
Given an integer id that represents the ID of an employee, return the total importance value of this employee and all their subordinates.
Example 1:

Input: employees = [[1,5,[2,3]],[2,3,[]],[3,3,[]]], id = 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.
Example 2:

Input: employees = [[1,2,[5]],[5,-3,[]]], id = 5 Output: -3
Constraints:
1 <= employees.length <= 20001 <= employees[i].id <= 2000- All
employees[i].idare unique. -100 <= employees[i].importance <= 100- One employee has at most one direct leader and may have several subordinates.
idis guaranteed to be a valid employee id.
Explanation
Conduct Breadth-first search to accumulate all the importances from the employee and the subordinates.
Python Solution
"""
# Definition for Employee.
class Employee:
def __init__(self, id: int, importance: int, subordinates: List[int]):
self.id = id
self.importance = importance
self.subordinates = subordinates
"""
class Solution:
def getImportance(self, employees: List['Employee'], id: int) -> int:
employees_dict = {}
result = 0
queue = []
for employee in employees:
if employee.id == id:
queue.append(employee)
employees_dict[employee.id] = employee
while queue:
employee = queue.pop(0)
result += employee.importance
for subordinate_id in employee.subordinates:
queue.append(employees_dict[subordinate_id])
return result
- Time Complexity: O(N).
- Space Complexity: O(N).