You are given a data structure of employee information, which includes the employee's unique id, his importance value and his 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 his subordinates.

Example 1:

  1. Input: [[1, 5, [2, 3]], [2, 3, []], [3, 3, []]], 1
  2. Output: 11
  3. Explanation:
  4. 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:

  1. One employee has at most one direct leader and may have several subordinates.
  2. The maximum number of employees won't exceed 2000.
 
DFS
 
  1. """
  2. # Employee info
  3. class Employee(object):
  4. def __init__(self, id, importance, subordinates):
  5. # It's the unique id of each node.
  6. # unique id of this employee
  7. self.id = id
  8. # the importance value of this employee
  9. self.importance = importance
  10. # the id of direct subordinates
  11. self.subordinates = subordinates
  12. """
  13. class Solution(object):
  14. def getImportance(self, employees, id):
  15. """
  16. :type employees: Employee
  17. :type id: int
  18. :rtype: int
  19. """
  20. emap={e.id:e for e in employees}
  21. def dfs(sid):
  22. em=emap[sid]
  23. return em.importance+sum(dfs(sid) for sid in em.subordinates)
  24. return dfs(id)

  

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