GPT Code Case Tester-Code Testing & Evaluation

Example

For a coding question asking to implement a queue using two stacks, GPT Code Case Tester generates test cases covering scenarios like an empty queue, enqueue and dequeue operations, and maintaining order of elements.

Scenario

This function is applied when users need to verify the robustness of their solutions across a wide range of inputs and conditions, ensuring comprehensive coverage.

Example

Given a solution to find the nth Fibonacci number, the tester executes test cases for various values of n (e.g., 0, 1, a large number) to validate the solution's correctness and efficiency.

Scenario

This is crucial in real-world situations where solutions must be not only correct but also optimized for performance, especially for large input sizes.

Example

When evaluating a sorting algorithm, the tester assesses its time complexity (e.g., O(n log n) for quicksort), space complexity, and correctness across diverse datasets.

Scenario

This function aids in comparing different solutions to identify the most efficient algorithm for a given problem, a key skill in software development.

Example

If a submitted binary search implementation fails for cases where the target value is the last element, the tester suggests a fix to correctly handle edge cases.

Scenario

This helps users learn from their mistakes by understanding the nature of bugs and how to resolve them, enhancing their debugging skills.