# Changelog

## [0.1.0] - 2024-08-13

- Initial release: controlled_astar library is published.
- A library for implementing the Controlled A\* algorithm for pathfinding and navigation.

## [0.1.1] - 2024-08-15

- Enhanced code efficiency.
- Accelerated execution and removed redundant components.

## [0.1.2] - 2024-08-16

- Replaced HashTable with HashMap to improve performance and better align with Rust's standard library.
- Refactored code structure to enhance readability and maintainability.
- Streamlined functions and reduced redundancy for improved performance.

## [0.1.3] - 2024-08-20

### Enhanced Path Visualization:

- Enhanced grid output visualization for clearer representation of paths, obstacles, and empty cells. The path found by the A\* algorithm is now distinctly marked, making interpretation easier.

### Performance Improvements:

- Minor optimizations have been made to the pathfinding logic, improving the overall efficiency of the algorithm.

### Code Refinements:

- Redundant code and imports have been cleaned up to ensure a cleaner and more maintainable codebase.

## [0.1.4] - 2024-08-28

### Documentation

- Updated API documentation and usage guides.

### Testing

- Added and expanded unit and integration tests to improve coverage and reliability.

### Notes

- This release includes updates to the documentation and enhancements to the testing framework.

## [1.0.0] - 2024-08-28

### User Documentation and Guide

- A comprehensive user documentation and guide has been prepared. This resource provides detailed information on how to use the library and its key features.

### CI/CD Integration

- Continuous integration and continuous delivery (CI/CD) processes have been added. Code changes are now automatically tested, and code quality is continuously monitored.

## [1.0.1] - 2024-08-29

### Changed

- Updated all references from `matrix` to `grid` throughout the codebase, including variable names, documentation, and comments.
- Improved consistency in terminology across the project for better clarity and alignment with pathfinding conventions.