Open Issues Need Help
View All on GitHubAI Summary: Implement a Python function `benchmark` in `src/utils/benchmark.py` that measures the execution time of a given function with a specified input `n`. This function will be used for performance comparisons.
AI Summary: Implement four different Fibonacci number calculation algorithms (recursive, dynamic programming, matrix method, and memoization) in Python, including docstrings specifying time complexity and usage examples. These algorithms will be added to a specified project's source code.
AI Summary: Improve the documentation for a Fibonacci sequence generator GUI built with Tkinter. This involves rewriting the README.md file with clearer instructions, adding docstrings to core functions, and creating a CONTRIBUTING.md file.
AI Summary: Add unit tests to a Python Tkinter GUI application that calculates Fibonacci numbers. This involves creating a tests directory, writing test functions using a testing framework (like pytest or unittest), and verifying the correctness of the Fibonacci calculation function.
AI Summary: Restructure the Fibonacci GUI project's file and folder organization to improve scalability. This involves creating new folders (src/algorithms/, src/gui/, src/utils/), moving existing files into these appropriate locations, and updating all import statements to reflect the new structure.