perf: ⚡️ Enhancement of the IDT main engine snippet

✅ Closes: #452

The recent modifications to the interactive_decision_tree.py file in the IDT_library focus on improving readability, maintainability, and efficiency. Below is a detailed summary of the key updates:

1. Type Annotations

Type hints have been added to function signatures throughout the file. This change enhances code clarity by making data types explicit, which helps developers understand the expected input and output types more easily. Additionally, type annotations facilitate static type checking, aiding in the identification of potential errors before runtime.

2. Refactoring

Significant refactoring has simplified complex logic and improved readability. For instance, list comprehensions and other Pythonic constructs are now used to identify binary and integer features, replacing less efficient methods. Functions like _parse_tree and _extract_rules have been restructured for improved readability and maintainability. This makes it easier for developers to comprehend the purpose of each section of the code, enabling faster debugging and extension.

3. Error Handling

Improved error handling is another focal point in these updates. In the _get_tree_info function, a more descriptive error message is now provided if the length of target_names does not match the number of classes in the model. This change ensures that users receive clear feedback on potential mismatches, helping them resolve issues quickly and reducing the chances of misinterpretation or silent errors.

4. Color Handling

The way colors are handled in the code has been optimized for flexibility and user customization. If target_colors are not explicitly provided, a fallback mechanism now automatically generates colors using a colormap. This ensures consistent visual output without requiring users to specify colors manually, enhancing the flexibility of the visualizations and providing a user-friendly fallback that produces clear and distinguishable colors for different classes.

5. File Handling

File operations have been modernized by utilizing the Path class from the pathlib module. This update improves compatibility across various operating systems, ensuring that the code runs smoothly on both Windows and UNIX-based systems. Context managers (with statements) are also used for reading and writing files. This approach ensures that files are automatically and properly closed after operations are completed, reducing the risk of file-handling errors and resource leaks.

6. Documentation

To make the code more user-friendly and understandable, comprehensive docstrings have been added to functions. These docstrings provide detailed information on each function's purpose, parameters, return values, and potential exceptions. With this added documentation, users can quickly understand the functionality and usage of each part of the code, which is particularly helpful for future contributors or developers unfamiliar with the library.

7. Output Messages

Print statements have been added to provide feedback on key file-saving operations. After saving files, the code now outputs confirmation messages to indicate the success of these operations. These output messages give users an immediate sense of accomplishment and assurance that their actions have been executed correctly.

Together, these updates make the codebase more robust, easier to understand, and better suited for future modifications or extensions. The improved error handling, simplified logic, and added documentation collectively enhance the user experience, while the modifications to file handling and color processing ensure that the code is efficient, flexible, and compatible across diverse environments.

@UTSAVS26 Kindly review this PR, and I request you level 3

UTSAVS26 / PySnippets