v0.2.6

[sebastienrousseau]

Release Notes

Version: 0.2.6

Bug Fixes

• fix(libmake): 🐛 Addressed various Clippy issues to improve code quality and consistency.
• fix(libmake): 🐛 Fixed an initializer issue for thread_local value that can be made const.

Refactoring

• refactor(libmake): 🎨 Optimized templates and upgraded dependencies for better performance and maintainability.

Tests

• test(libmake): ✅ Added new tests and refactored existing ones to improve test coverage and reliability.
  • Added new tests for test_directory.rs.
  • Added new test for ascii_macros.rs.
  • Added new test for directory_macros.rs.
  • Added new test for file_macros.rs.
  • Added new test for yaml.rs.
  • Added new tests for ascii_art.rs and interface.rs.
  • Added new tests for json.rs.
  • Added new tests for log_macros.rs.
  • Added new tests for test_uuid.rs.
  • Added new tests for toml.rs.
  • Added new tests for utility_macros.rs.
  • Added tests for csv.rs.
  • Added tests for init.rs.
  • Added unit tests for models.

Summary

This release includes various bug fixes, template optimizations, dependency upgrades, and a comprehensive suite of new and refactored tests to ensure code reliability and quality. The improvements address several issues identified by Clippy, fix initialization issues for thread_local values, and significantly enhance test coverage across multiple modules.

Details

Bug Fixes:

• Addressed Clippy issues to align with Rust coding standards.
• Fixed the initializer for thread_local value to be const, ensuring better performance and adherence to best practices.

Refactoring:

• Improved template efficiency and updated dependencies to the latest versions for enhanced performance and maintainability.

Testing:

• Comprehensive testing improvements across the library, including new tests for key modules and refactoring existing tests for better structure and coverage. This includes modules like ascii_macros, directory_macros, file_macros, yaml.rs, ascii_art, interface.rs, json.rs, log_macros, test_uuid, toml.rs, utility_macros, csv.rs, init.rs, and various models.

Thank you for using LibMake. Your feedback and contributions are always appreciated.

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