In the dynamic landscape of organizations, understanding the hierarchical structure is pivotal for effective communication and management. This coding challenge presents a scenario where two arrays, one containing employee IDs and the other their corresponding manager IDs, need to be decoded to reveal the organization's hierarchy. This blog post explores a Python solution to this problem, offering insights into the code and its practical application.

Problem Overview:

- Employee IDs Array: An array representing the unique IDs of all employees in the organization.

- Manager IDs Array: A corresponding array where each index contains the manager ID for the employee at the same index.

  

Key Points:

1. Each employee has a single manager.

2. Each manager is also an employee.

3. Each manager can oversee zero or more employees.

4. Only one employee lacks a manager, identified by a corresponding manager ID of -1.

Solution Approach:

The problem is tackled by creating a dictionary to depict the organizational hierarchy. Each manager becomes a key in the dictionary, with the corresponding value being a list of employees managed by that specific manager. The solution then prints the hierarchy in a structured format, starting from the CEO and traversing through the organization's layers.

Code Breakdown:

The provided Python code follows a logical sequence:

1. Creation of an empty dictionary, `hierarchy`.

2. Iteration through the employee and manager arrays to populate the `hierarchy` dictionary.

3. Identification of the CEO, achieved by finding the employee with a manager ID of -1.

4. Printing of the hierarchy in a structured format, commencing with the CEO and extending to their direct reports.

Example Usage:

```python

employee_ids = [1, 49, 29, 95, 90, 10, 24, 84, 17, 19, 6]

manager_ids = [-1, 17, 6, 49, 29, 1, 6, 29, 10, 6, 1]

print_organization_hierarchy(employee_ids, manager_ids)

Output:

CEO: 1

Direct Reports:

49 6 

Direct Reports of 49:

29 

Direct Reports of 6:

10 24 19 

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