Calculate bonus based on the given condition.

Assuming we have a list of employees with their sales figures and a bonus policy such as: if sales > 100k, bonus = 10% of sales; if sales between 50k and 100k, bonus = 5%; otherwise no bonus. A simple linear scan will compute the bonus for each employee. Pseudocode:

for each employee in employees:
    if employee.sales > 100000:
        bonus = employee.sales * 0.10
    elif employee.sales >= 50000:
        bonus = employee.sales * 0.05
    else:
        bonus = 0
    print(employee.id, bonus)

Time complexity is O(n) where n is the number of employees, and space complexity is O(1) if we output results immediately. In Python, this could be implemented with a list comprehension or a simple for‑loop. If the data is stored in a database, a single SQL query using CASE can compute bonuses in bulk:

SELECT id,
       sales,
       CASE
           WHEN sales > 100000 THEN sales * 0.10
           WHEN sales >= 50000 THEN sales * 0.05
           ELSE 0
       END AS bonus
FROM employees;

This approach is efficient and scales with the size of the dataset.