OpenAI QA Engineer Coding Questions

In many cases, OpenAI implements extensive automated testing to ensure model performance and reliability. However, executing all tests sequentially can increase deployment times significantly.
Problem statement: You need to write a method that optimally executes a list of tests in parallel, utilizing available resources efficiently. The function should manage limits on concurrent executions based on a given resource cap.
- def parallel_test_execution(tests: List[str], max_concurrent: int) -> List[str]: returns a list of test results in the order of their execution.Example 1:
Input: tests = ['test1', 'test2', 'test3', 'test4'], max_concurrent = 2
Output: ['test1_result', 'test2_result', 'test3_result', 'test4_result']
Explanation: Tests are executed concurrently up to two at a time.Example 2:
Input: tests = ['test1', 'test2', 'test3'], max_concurrent = 1
Output: ['test1_result', 'test2_result', 'test3_result']
Explanation: Only one test runs at a time.Constraints:
- 1 <= len(tests) <= 100
- 1 <= max_concurrent <= len(tests)