Employee Importance
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.
1. One employee has at most one direct leader and may have several subordinates.
2. The maximum number of employees won't exceed 2000.
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.
Because we should calculate total importance for all suborindates.
Use DFS or BFS to find all direct subordinates.
/*
// Employee info
class Employee {
// It's the unique id of each node;
// unique id of this employee
public int id;
// the importance value of this employee
public int importance;
// the id of direct subordinates
public List<Integer> subordinates;
};
*/
class Solution {
public int getImportance(List<Employee> employees, int id) {
int result = 0;
Map<Integer, Employee> employeesMap = new HashMap<Integer, Employee>();
for (Employee employee: employees) {
employeesMap.put(employee.id, employee);
}
Queue<Integer> queue = new LinkedList<Integer>();
queue.add(id);
while (!queue.isEmpty()) {
int size = queue.size();
for (int i = 0; i < size; i++) {
int val = queue.poll();
Employee employee = employeesMap.get(val);
if (employee == null) {
continue;
}
queue.addAll(employee.subordinates);
result += employee.importance;
employeesMap.remove(val);
}
}
return result;
}
}
/*
// Employee info
class Employee {
public:
// It's the unique ID of each node.
// unique id of this employee
int id;
// the importance value of this employee
int importance;
// the id of direct subordinates
vector<int> subordinates;
};
*/
class Solution {
public:
int getImportance(vector<Employee*> employees, int id) {
int result = 0;
map<int, Employee*> employeesMap;
int size = employees.size();
for (int i = 0; i < size; i++) {
employeesMap[employees[i]->id] = employees[i];
}
queue<int> q;
q.push(id);
while (q.size() != 0) {
size = q.size();
for (int i = 0; i < size; i++) {
int val = q.front();
Employee *employee = employeesMap[val];
if (employee == NULL) {
continue;
}
for (int i = 0; i < employee->subordinates.size(); i++) {
q.push(employee->subordinates[i]);
}
result += employee->importance;
employeesMap.erase(val);
q.pop();
}
}
return result;
}
};
"""
# Employee info
class Employee(object):
def __init__(self, id, importance, subordinates):
# It's the unique id of each node.
# unique id of this employee
self.id = id
# the importance value of this employee
self.importance = importance
# the id of direct subordinates
self.subordinates = subordinates
"""
class Solution(object):
def getImportance(self, employees, id):
"""
:type employees: Employee
:type id: int
:rtype: int
"""
result = 0
employeesMap = {}
for employee in employees:
employeesMap[employee.id] = employee
q = []
q.append(id)
while (len(q) != 0):
size = len(q)
for i in range(size):
val = q[0]
employee = employeesMap[val]
if employee == None:
continue
for sub in employee.subordinates:
q.append(sub)
result += employee.importance
del employeesMap[val]
del q[0]
return result
- Time Complexity: O(N), N is the number of employees
- Space Complexity: O(N), N is the nubmer of employees